{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6d29b62ffda6"
      },
      "source": [
        "# Agent Evaluation for Customer Support: Comparing Models and Parameters\n",
        "\n",
        "<table align=\"left\">\n",
        "  <td style=\"text-align: center\">\n",
        "    <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/generative-ai/blob/main/gemini/evaluation/synthetic-data-evals/run.ipynb\">\n",
        "      <img width=\"32px\" src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Google Colaboratory logo\"><br> Open in Colab\n",
        "    </a>\n",
        "  </td>\n",
        "  <td style=\"text-align: center\">\n",
        "    <a href=\"https://console.cloud.google.com/vertex-ai/colab/import/https:%2F%2Fraw.githubusercontent.com%2FGoogleCloudPlatform%2Fgenerative-ai%2Fmain%2Fgemini%2Fevaluation%2Fsynthetic-data-evals%2Frun.ipynb\">\n",
        "      <img width=\"32px\" src=\"https://lh3.googleusercontent.com/JmcxdQi-qOpctIvWKgPtrzZdJJK-J3sWE1RsfjZNwshCFgE_9fULcNpuXYTilIR2hjwN\" alt=\"Google Cloud Colab Enterprise logo\"><br> Open in Colab Enterprise\n",
        "    </a>\n",
        "  </td>\n",
        "  <td style=\"text-align: center\">\n",
        "    <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/generative-ai/main/gemini/evaluation/synthetic-data-evals/run.ipynb\">\n",
        "      <img src=\"https://www.gstatic.com/images/branding/gcpiconscolors/vertexai/v1/32px.svg\" alt=\"Vertex AI logo\"><br> Open in Vertex AI Workbench\n",
        "    </a>\n",
        "  </td>\n",
        "  <td style=\"text-align: center\">\n",
        "    <a href=\"https://github.com/GoogleCloudPlatform/generative-ai/blob/main/gemini/evaluation/synthetic-data-evals/run.ipynb\">\n",
        "      <img width=\"32px\" src=\"https://raw.githubusercontent.com/primer/octicons/refs/heads/main/icons/mark-github-24.svg\" alt=\"GitHub logo\"><br> View on GitHub\n",
        "    </a>\n",
        "  </td>\n",
        "</table>\n",
        "\n",
        "<div style=\"clear: both;\"></div>\n",
        "\n",
        "<b>Share to:</b>\n",
        "\n",
        "<a href=\"https://www.linkedin.com/sharing/share-offsite/?url=https%3A//github.com/GoogleCloudPlatform/generative-ai/blob/main/gemini/evaluation/synthetic-data-evals/run.ipynb\" target=\"_blank\">\n",
        "  <img width=\"20px\" src=\"https://upload.wikimedia.org/wikipedia/commons/8/81/LinkedIn_icon.svg\" alt=\"LinkedIn logo\">\n",
        "</a>\n",
        "\n",
        "<a href=\"https://bsky.app/intent/compose?text=https%3A//github.com/GoogleCloudPlatform/generative-ai/blob/main/gemini/evaluation/synthetic-data-evals/run.ipynb\" target=\"_blank\">\n",
        "  <img width=\"20px\" src=\"https://upload.wikimedia.org/wikipedia/commons/7/7a/Bluesky_Logo.svg\" alt=\"Bluesky logo\">\n",
        "</a>\n",
        "\n",
        "<a href=\"https://twitter.com/intent/tweet?url=https%3A//github.com/GoogleCloudPlatform/generative-ai/blob/main/gemini/evaluation/synthetic-data-evals/run.ipynb\" target=\"_blank\">\n",
        "  <img width=\"20px\" src=\"https://upload.wikimedia.org/wikipedia/commons/5/5a/X_icon_2.svg\" alt=\"X logo\">\n",
        "</a>\n",
        "\n",
        "<a href=\"https://reddit.com/submit?url=https%3A//github.com/GoogleCloudPlatform/generative-ai/blob/main/gemini/evaluation/synthetic-data-evals/run.ipynb\" target=\"_blank\">\n",
        "  <img width=\"20px\" src=\"https://redditinc.com/hubfs/Reddit%20Inc/Brand/Reddit_Logo.png\" alt=\"Reddit logo\">\n",
        "</a>\n",
        "\n",
        "<a href=\"https://www.facebook.com/sharer/sharer.php?u=https%3A//github.com/GoogleCloudPlatform/generative-ai/blob/main/gemini/evaluation/synthetic-data-evals/run.ipynb\" target=\"_blank\">\n",
        "  <img width=\"20px\" src=\"https://upload.wikimedia.org/wikipedia/commons/5/51/Facebook_f_logo_%282019%29.svg\" alt=\"Facebook logo\">\n",
        "</a>\n",
        "\n",
        "| | |\n",
        "|-|-|\n",
        "| Authors | [Anish Shah](https://github.com/ash0ts) |\n",
        "\n",
        "## Overview\n",
        "\n",
        "This notebook demonstrates how to generate synthetic evaluation data and compare different models and parameters for a customer support agent. We'll explore three main types of evaluations:\n",
        "\n",
        "1. Final Response Evaluation: Assessing the agent's final answer\n",
        "2. Single Step Evaluation: Evaluating individual tool selections\n",
        "3. Trajectory Evaluation: Analyzing the complete path of actions\n",
        "\n",
        "The tutorial uses the following Google Cloud services and resources:\n",
        "* [Vertex AI Gen AI Evaluation](https://cloud.google.com/vertex-ai/generative-ai/docs/models/evaluation-overview)\n",
        "* [Weights and Biases Weave](https://wandb.me/tryweave)\n",
        "\n",
        "The steps performed include:\n",
        "* Generating synthetic evaluation data\n",
        "* Setting up evaluation metrics\n",
        "* Comparing model performance\n",
        "* Analyzing evaluation results"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "be49d2a2594c"
      },
      "source": [
        "**NOTE:** Please run the `setup.py` script in this folder before running the notebook."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "6c12ac74e2c9"
      },
      "outputs": [],
      "source": [
        "IN_COLAB = False\n",
        "try:\n",
        "    pass\n",
        "\n",
        "    IN_COLAB = True\n",
        "    !git clone https://github.com/ash0ts/generative-ai.git\n",
        "    %cd generative-ai/gemini/evaluation/synthetic-data-evals\n",
        "    !pip install -qqq uv\n",
        "    !uv pip install --system --requirements pyproject.toml\n",
        "except:\n",
        "    pass"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "8b23ece5208f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Set API Keys\n"
          ]
        }
      ],
      "source": [
        "from set_env import set_env\n",
        "\n",
        "set_env(\"GEMINI_API_KEY\")\n",
        "# set_env(\"HUGGING_FACE_HUB_TOKEN\")\n",
        "set_env(\"VERTEX_PROJECT_ID\")\n",
        "set_env(\"VERTEX_LOCATION\")\n",
        "set_env(\"VERTEX_MODEL_ID\")\n",
        "set_env(\"VERTEX_ENDPOINT_ID\")\n",
        "# set_env(\"DEEPSEEK_ENDPOINT_ID\")\n",
        "print(\"Set API Keys\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "f47f156e03ff"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">─────────────────────────────────────────── </span><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">Agent Evaluation Framework</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m─────────────────────────────────────────── \u001b[0m\u001b[1;35mAgent Evaluation Framework\u001b[0m\u001b[92m ────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Logged in as Weights & Biases user: a-sh0ts.\n",
            "View Weave data at https://wandb.ai/a-sh0ts/agent_evaluation_demo-dry-run/weave\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<weave.trace.weave_client.WeaveClient at 0x1613c9110>"
            ]
          },
          "execution_count": 3,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "import os\n",
        "from typing import Any\n",
        "\n",
        "from config import WEAVE_PROJECT_NAME\n",
        "from customer_support_agent import create_customer_support_agent\n",
        "from dataset_generator import (\n",
        "    DatasetGenerator,\n",
        "    create_customer_support_agent_evaluation_dataset,\n",
        ")\n",
        "\n",
        "# Import our modules\n",
        "from evaluator import AgentEvaluator, load_dataset\n",
        "from render_evals import (\n",
        "    render_conclusion,\n",
        "    render_difficulty_analysis,\n",
        "    render_model_comparison,\n",
        "    render_temperature_analysis,\n",
        ")\n",
        "from rich.console import Console\n",
        "import weave\n",
        "\n",
        "try:\n",
        "    in_jupyter = True\n",
        "except ImportError:\n",
        "    in_jupyter = False\n",
        "if in_jupyter:\n",
        "    import nest_asyncio\n",
        "\n",
        "    nest_asyncio.apply()\n",
        "\n",
        "# Initialize console for rich output\n",
        "console = Console()\n",
        "console.rule(\"[bold magenta]Agent Evaluation Framework\")\n",
        "\n",
        "# Initialize Weave for experiment tracking\n",
        "weave.init(WEAVE_PROJECT_NAME)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "c351457a6157"
      },
      "outputs": [],
      "source": [
        "# Define model configurations to test\n",
        "model_configs = [\n",
        "    {\n",
        "        \"model_id\": \"google/gemini-1.5-pro\",\n",
        "        \"temperature\": 0.2,\n",
        "        \"name\": \"Gemini Pro (Low Temp)\",\n",
        "    },\n",
        "    {\n",
        "        \"model_id\": \"google/gemini-1.5-pro\",\n",
        "        \"temperature\": 0.7,\n",
        "        \"name\": \"Gemini Pro (High Temp)\",\n",
        "    },\n",
        "    {\n",
        "        \"model_id\": \"google/gemini-2.0-flash-lite\",\n",
        "        \"temperature\": 0.2,\n",
        "        \"name\": \"Gemini Flash Lite (Low Temp)\",\n",
        "    },\n",
        "    {\n",
        "        \"model_id\": \"google/gemini-2.0-flash-lite\",\n",
        "        \"temperature\": 0.7,\n",
        "        \"name\": \"Gemini Flash Lite (High Temp)\",\n",
        "    },\n",
        "    # Any other Gemini or OSS model from vertex\n",
        "]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "d80234b1e4d6"
      },
      "source": [
        "# Customer Support Agent Architecture\n",
        "\n",
        "This section describes the architecture and implementation of our customer support agent system, which is built using a combination of LLM-powered components and specialized tools.\n",
        "\n",
        "## Agent Overview\n",
        "\n",
        "The customer support agent is designed to handle a variety of e-commerce related queries by leveraging:\n",
        "\n",
        "1. **Foundation Models**: The agent can be powered by different models including Gemini (1.5 Pro, 2.0 Flash, etc.) through Vertex AI.\n",
        "\n",
        "2. **Specialized Tools**: A collection of purpose-built tools that provide domain-specific functionality:\n",
        "   - `ProductSearchTool`: Searches the product catalog by name, category, or description\n",
        "   - `OrderStatusTool`: Checks the status of customer orders\n",
        "   - `CategoryBrowseTool`: Allows browsing products by category\n",
        "   - `PriceCheckTool`: Retrieves pricing information for specific products\n",
        "   - `CustomerOrderHistoryTool`: Retrieves order history for customers\n",
        "\n",
        "3. **Realistic Data**: The system uses realistic product and order data derived from Amazon reviews to provide a realistic customer support experience.\n",
        "\n",
        "## Technical Implementation\n",
        "\n",
        "The implementation consists of two main components:\n",
        "\n",
        "1. **`customer_support_agent.py`**: Contains the tool implementations and agent creation logic. The `create_customer_support_agent()` function configures the agent with the specified model, temperature, planning capabilities, and tools.\n",
        "\n",
        "2. **`vertex_model.py`**: Provides the model implementations that connect to Vertex AI:\n",
        "   - `VertexAIServerModel`: Base implementation for connecting to Vertex AI endpoints\n",
        "   - `WeaveVertexAIServerModel`: Extends the base model with Weights & Biases Weave tracking for experiment monitoring\n",
        "\n",
        "## Configuration Options\n",
        "\n",
        "The agent can be configured with various parameters:\n",
        "- Model selection (Gemini 1.5 Pro, 2.0 Flash, etc.)\n",
        "- Temperature settings for controlling response randomness\n",
        "- Planning interval to determine how often the agent should plan its actions\n",
        "- Maximum steps to limit the complexity of interactions\n",
        "\n",
        "This architecture enables comprehensive evaluation of different model configurations and parameters to determine the optimal setup for customer support scenarios.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "3b9bf5e0ab52"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Creating customer support agent</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;34mCreating customer support agent\u001b[0m\n"
            ]
          },
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          "output_type": "display_data"
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      ],
      "source": [
        "console.print(\"[bold blue]Creating customer support agent[/bold blue]\")\n",
        "\n",
        "# Initialize a customer support agent for generating high-quality evaluation data\n",
        "base_agent = create_customer_support_agent(\n",
        "    use_weave=True,  # Enable Weave for experiment tracking\n",
        "    model_id=\"google/gemini-2.0-flash\",  # Use Gemini 2.0 for fast and accurate generation\n",
        "    temperature=0.1,  # Low temperature for consistent, deterministic outputs\n",
        "    planning_interval=2,  # Plan every 2 steps for better reasoning\n",
        "    max_steps=4,  # Allow up to 4 steps to handle medium-complex queries\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "bd8a931493ba"
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      "outputs": [
        {
          "data": {
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">What is the best item in the category of book?</span>                                                                  <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ WeaveVertexAIServerModel - google/gemini-2.0-flash ────────────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
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              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mWhat is the best item in the category of book?\u001b[0m                                                                  \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m WeaveVertexAIServerModel - google/gemini-2.0-flash \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">────────────────────────────────────────────────── <span style=\"font-weight: bold\">Initial plan</span> ───────────────────────────────────────────────────\n",
              "Here is the plan of action that I will follow to solve the task:\n",
              "```\n",
              "1. Browse the 'book' category to get a list of books.\n",
              "2. Search for product information for each book in the list to gather details like ratings, reviews, and sales \n",
              "figures.\n",
              "3. Analyze the gathered information to determine the \"best\" book based on a combination of factors such as ratings,\n",
              "reviews, and sales.\n",
              "4. Provide the \"best\" book as the final answer.\n",
              "\\n\n",
              "```\n",
              "</pre>\n"
            ],
            "text/plain": [
              "────────────────────────────────────────────────── \u001b[1mInitial plan\u001b[0m ───────────────────────────────────────────────────\n",
              "Here is the plan of action that I will follow to solve the task:\n",
              "```\n",
              "1. Browse the 'book' category to get a list of books.\n",
              "2. Search for product information for each book in the list to gather details like ratings, reviews, and sales \n",
              "figures.\n",
              "3. Analyze the gathered information to determine the \"best\" book based on a combination of factors such as ratings,\n",
              "reviews, and sales.\n",
              "4. Provide the \"best\" book as the final answer.\n",
              "\\n\n",
              "```\n"
            ]
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          "data": {
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">books </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> category_browse(category</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'book'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                                       </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(books)</span><span style=\"background-color: #272822\">                                                                                                   </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mbooks\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcategory_browse\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcategory\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mbook\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                       \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mbooks\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                                   \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "{\n",
              "  \"category\": \"book\",\n",
              "  \"product_count\": 5,\n",
              "  \"price_range\": \"$42.84 - $87.96\",\n",
              "  \"top_products\": [\n",
              "    {\n",
              "      \"product_id\": \"product_en_0072152\",\n",
              "      \"name\": \"Digital Ebook Purchase Item 2152\",\n",
              "      \"price\": \"$87.96\",\n",
              "      \"stock\": 127\n",
              "    },\n",
              "    {\n",
              "      \"product_id\": \"product_en_0061764\",\n",
              "      \"name\": \"Digital Ebook Purchase Item 1764\",\n",
              "      \"price\": \"$66.78\",\n",
              "      \"stock\": 137\n",
              "    },\n",
              "    {\n",
              "      \"product_id\": \"product_en_0025873\",\n",
              "      \"name\": \"Digital Ebook Purchase Item 5873\",\n",
              "      \"price\": \"$65.58\",\n",
              "      \"stock\": 90\n",
              "    },\n",
              "    {\n",
              "      \"product_id\": \"product_en_0000782\",\n",
              "      \"name\": \"Book Item 0782\",\n",
              "      \"price\": \"$50.01\",\n",
              "      \"stock\": 92\n",
              "    },\n",
              "    {\n",
              "      \"product_id\": \"product_en_0103332\",\n",
              "      \"name\": \"Digital Ebook Purchase Item 3332\",\n",
              "      \"price\": \"$42.84\",\n",
              "      \"stock\": 121\n",
              "    }\n",
              "  ]\n",
              "}\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "{\n",
              "  \"category\": \"book\",\n",
              "  \"product_count\": 5,\n",
              "  \"price_range\": \"$42.84 - $87.96\",\n",
              "  \"top_products\": [\n",
              "    {\n",
              "      \"product_id\": \"product_en_0072152\",\n",
              "      \"name\": \"Digital Ebook Purchase Item 2152\",\n",
              "      \"price\": \"$87.96\",\n",
              "      \"stock\": 127\n",
              "    },\n",
              "    {\n",
              "      \"product_id\": \"product_en_0061764\",\n",
              "      \"name\": \"Digital Ebook Purchase Item 1764\",\n",
              "      \"price\": \"$66.78\",\n",
              "      \"stock\": 137\n",
              "    },\n",
              "    {\n",
              "      \"product_id\": \"product_en_0025873\",\n",
              "      \"name\": \"Digital Ebook Purchase Item 5873\",\n",
              "      \"price\": \"$65.58\",\n",
              "      \"stock\": 90\n",
              "    },\n",
              "    {\n",
              "      \"product_id\": \"product_en_0000782\",\n",
              "      \"name\": \"Book Item 0782\",\n",
              "      \"price\": \"$50.01\",\n",
              "      \"stock\": 92\n",
              "    },\n",
              "    {\n",
              "      \"product_id\": \"product_en_0103332\",\n",
              "      \"name\": \"Digital Ebook Purchase Item 3332\",\n",
              "      \"price\": \"$42.84\",\n",
              "      \"stock\": 121\n",
              "    }\n",
              "  ]\n",
              "}\n",
              "\n",
              "Out: None\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 6.38 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 6.38 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">product_ids </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> [</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'product_en_0072152'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'product_en_0061764'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'product_en_0025873'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'product_en_0000782'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"background-color: #272822\">        </span>  \n",
              "  <span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'product_en_0103332'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"background-color: #272822\">                                                                                          </span>  \n",
              "  <span style=\"color: #66d9ef; text-decoration-color: #66d9ef; background-color: #272822\">for</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> product_id </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">in</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> product_ids:</span><span style=\"background-color: #272822\">                                                                                 </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">    product_info </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> product_search(query</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">product_id)</span><span style=\"background-color: #272822\">                                                            </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">    print(product_info)</span><span style=\"background-color: #272822\">                                                                                        </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mproduct_ids\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_en_0072152\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_en_0061764\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_en_0025873\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_en_0000782\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m        \u001b[0m  \n",
              "  \u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_en_0103332\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[48;2;39;40;34m                                                                                          \u001b[0m  \n",
              "  \u001b[38;2;102;217;239;48;2;39;40;34mfor\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mproduct_id\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34min\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mproduct_ids\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[48;2;39;40;34m                                                                                 \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34m    \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mproduct_info\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mproduct_search\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mquery\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mproduct_id\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                            \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34m    \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mproduct_info\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                        \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "{\"error\": \"Product not found\"}\n",
              "{\"error\": \"Product not found\"}\n",
              "{\"error\": \"Product not found\"}\n",
              "{\"error\": \"Product not found\"}\n",
              "{\"error\": \"Product not found\"}\n",
              "\n",
              "Out: {\"error\": \"Product not found\"}\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "{\"error\": \"Product not found\"}\n",
              "{\"error\": \"Product not found\"}\n",
              "{\"error\": \"Product not found\"}\n",
              "{\"error\": \"Product not found\"}\n",
              "{\"error\": \"Product not found\"}\n",
              "\n",
              "Out: {\"error\": \"Product not found\"}\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 2: Duration 1.13 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 2: Duration 1.13 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">────────────────────────────────────────────────── <span style=\"font-weight: bold\">Updated plan</span> ───────────────────────────────────────────────────\n",
              "I still need to solve the task I was given:\n",
              "```\n",
              "What is the best item in the category of book?\n",
              "```\n",
              "\n",
              "Here is my new/updated plan of action to solve the task:\n",
              "```\n",
              "1. Define \"best\" in the context of books (e.g., based on reviews, sales, awards).\n",
              "2. Search for product information for each book in the list obtained earlier, using the book names as the search \n",
              "query.\n",
              "3. Analyze the gathered information to determine the \"best\" book based on the defined criteria.\n",
              "4. Provide the \"best\" book as the final answer.\n",
              "\\n\n",
              "```\n",
              "</pre>\n"
            ],
            "text/plain": [
              "────────────────────────────────────────────────── \u001b[1mUpdated plan\u001b[0m ───────────────────────────────────────────────────\n",
              "I still need to solve the task I was given:\n",
              "```\n",
              "What is the best item in the category of book?\n",
              "```\n",
              "\n",
              "Here is my new/updated plan of action to solve the task:\n",
              "```\n",
              "1. Define \"best\" in the context of books (e.g., based on reviews, sales, awards).\n",
              "2. Search for product information for each book in the list obtained earlier, using the book names as the search \n",
              "query.\n",
              "3. Analyze the gathered information to determine the \"best\" book based on the defined criteria.\n",
              "4. Provide the \"best\" book as the final answer.\n",
              "\\n\n",
              "```\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m3\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">book_names </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> [</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"Digital Ebook Purchase Item 2152\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"Digital Ebook Purchase Item 1764\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"Digital Ebook Purchase </span><span style=\"background-color: #272822\"> </span>  \n",
              "  <span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">Item 5873\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"Book Item 0782\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"Digital Ebook Purchase Item 3332\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"background-color: #272822\">                                              </span>  \n",
              "  <span style=\"color: #66d9ef; text-decoration-color: #66d9ef; background-color: #272822\">for</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> book_name </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">in</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> book_names:</span><span style=\"background-color: #272822\">                                                                                   </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">    product_info </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> product_search(query</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">book_name)</span><span style=\"background-color: #272822\">                                                             </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">    print(product_info)</span><span style=\"background-color: #272822\">                                                                                        </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mbook_names\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mDigital Ebook Purchase Item 2152\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mDigital Ebook Purchase Item 1764\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mDigital Ebook Purchase \u001b[0m\u001b[48;2;39;40;34m \u001b[0m  \n",
              "  \u001b[38;2;230;219;116;48;2;39;40;34mItem 5873\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mBook Item 0782\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mDigital Ebook Purchase Item 3332\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[48;2;39;40;34m                                              \u001b[0m  \n",
              "  \u001b[38;2;102;217;239;48;2;39;40;34mfor\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mbook_name\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34min\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mbook_names\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[48;2;39;40;34m                                                                                   \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34m    \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mproduct_info\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mproduct_search\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mquery\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mbook_name\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                             \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34m    \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mproduct_info\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                        \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "[\n",
              "  {\n",
              "    \"product_id\": \"product_en_0072152\",\n",
              "    \"name\": \"Digital Ebook Purchase Item 2152\",\n",
              "    \"category\": \"digital_ebook_purchase\",\n",
              "    \"price\": \"$87.96\",\n",
              "    \"stock\": 127,\n",
              "    \"description\": \"Quality digital ebook purchase product with ID 2152.\",\n",
              "    \"warranty\": \"1 year limited\",\n",
              "    \"return_period\": \"14 days\"\n",
              "  }\n",
              "]\n",
              "[\n",
              "  {\n",
              "    \"product_id\": \"product_en_0061764\",\n",
              "    \"name\": \"Digital Ebook Purchase Item 1764\",\n",
              "    \"category\": \"digital_ebook_purchase\",\n",
              "    \"price\": \"$66.78\",\n",
              "    \"stock\": 137,\n",
              "    \"description\": \"Quality digital ebook purchase product with ID 1764.\",\n",
              "    \"warranty\": \"1 year limited\",\n",
              "    \"return_period\": \"14 days\"\n",
              "  }\n",
              "]\n",
              "[\n",
              "  {\n",
              "    \"product_id\": \"product_en_0025873\",\n",
              "    \"name\": \"Digital Ebook Purchase Item 5873\",\n",
              "    \"category\": \"digital_ebook_purchase\",\n",
              "    \"price\": \"$65.58\",\n",
              "    \"stock\": 90,\n",
              "    \"description\": \"Quality digital ebook purchase product with ID 5873.\",\n",
              "    \"warranty\": \"1 year limited\",\n",
              "    \"return_period\": \"14 days\"\n",
              "  }\n",
              "]\n",
              "[\n",
              "  {\n",
              "    \"product_id\": \"product_en_0000782\",\n",
              "    \"name\": \"Book Item 0782\",\n",
              "    \"category\": \"book\",\n",
              "    \"price\": \"$50.01\",\n",
              "    \"stock\": 92,\n",
              "    \"description\": \"Quality book product with ID 0782.\",\n",
              "    \"warranty\": \"1 year limited\",\n",
              "    \"return_period\": \"14 days\"\n",
              "  }\n",
              "]\n",
              "[\n",
              "  {\n",
              "    \"product_id\": \"product_en_0103332\",\n",
              "    \"name\": \"Digital Ebook Purchase Item 3332\",\n",
              "    \"category\": \"digital_ebook_purchase\",\n",
              "    \"price\": \"$42.84\",\n",
              "    \"stock\": 121,\n",
              "    \"description\": \"Quality digital ebook purchase product with ID 3332.\",\n",
              "    \"warranty\": \"90 days\",\n",
              "    \"return_period\": \"7 days\"\n",
              "  }\n",
              "]\n",
              "\n",
              "Out: [\n",
              "  {\n",
              "    \"product_id\": \"product_en_0103332\",\n",
              "    \"name\": \"Digital Ebook Purchase Item 3332\",\n",
              "    \"category\": \"digital_ebook_purchase\",\n",
              "    \"price\": \"$42.84\",\n",
              "    \"stock\": 121,\n",
              "    \"description\": \"Quality digital ebook purchase product with ID 3332.\",\n",
              "    \"warranty\": \"90 days\",\n",
              "    \"return_period\": \"7 days\"\n",
              "  }\n",
              "]\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "[\n",
              "  {\n",
              "    \"product_id\": \"product_en_0072152\",\n",
              "    \"name\": \"Digital Ebook Purchase Item 2152\",\n",
              "    \"category\": \"digital_ebook_purchase\",\n",
              "    \"price\": \"$87.96\",\n",
              "    \"stock\": 127,\n",
              "    \"description\": \"Quality digital ebook purchase product with ID 2152.\",\n",
              "    \"warranty\": \"1 year limited\",\n",
              "    \"return_period\": \"14 days\"\n",
              "  }\n",
              "]\n",
              "[\n",
              "  {\n",
              "    \"product_id\": \"product_en_0061764\",\n",
              "    \"name\": \"Digital Ebook Purchase Item 1764\",\n",
              "    \"category\": \"digital_ebook_purchase\",\n",
              "    \"price\": \"$66.78\",\n",
              "    \"stock\": 137,\n",
              "    \"description\": \"Quality digital ebook purchase product with ID 1764.\",\n",
              "    \"warranty\": \"1 year limited\",\n",
              "    \"return_period\": \"14 days\"\n",
              "  }\n",
              "]\n",
              "[\n",
              "  {\n",
              "    \"product_id\": \"product_en_0025873\",\n",
              "    \"name\": \"Digital Ebook Purchase Item 5873\",\n",
              "    \"category\": \"digital_ebook_purchase\",\n",
              "    \"price\": \"$65.58\",\n",
              "    \"stock\": 90,\n",
              "    \"description\": \"Quality digital ebook purchase product with ID 5873.\",\n",
              "    \"warranty\": \"1 year limited\",\n",
              "    \"return_period\": \"14 days\"\n",
              "  }\n",
              "]\n",
              "[\n",
              "  {\n",
              "    \"product_id\": \"product_en_0000782\",\n",
              "    \"name\": \"Book Item 0782\",\n",
              "    \"category\": \"book\",\n",
              "    \"price\": \"$50.01\",\n",
              "    \"stock\": 92,\n",
              "    \"description\": \"Quality book product with ID 0782.\",\n",
              "    \"warranty\": \"1 year limited\",\n",
              "    \"return_period\": \"14 days\"\n",
              "  }\n",
              "]\n",
              "[\n",
              "  {\n",
              "    \"product_id\": \"product_en_0103332\",\n",
              "    \"name\": \"Digital Ebook Purchase Item 3332\",\n",
              "    \"category\": \"digital_ebook_purchase\",\n",
              "    \"price\": \"$42.84\",\n",
              "    \"stock\": 121,\n",
              "    \"description\": \"Quality digital ebook purchase product with ID 3332.\",\n",
              "    \"warranty\": \"90 days\",\n",
              "    \"return_period\": \"7 days\"\n",
              "  }\n",
              "]\n",
              "\n",
              "Out: [\n",
              "  {\n",
              "    \"product_id\": \"product_en_0103332\",\n",
              "    \"name\": \"Digital Ebook Purchase Item 3332\",\n",
              "    \"category\": \"digital_ebook_purchase\",\n",
              "    \"price\": \"$42.84\",\n",
              "    \"stock\": 121,\n",
              "    \"description\": \"Quality digital ebook purchase product with ID 3332.\",\n",
              "    \"warranty\": \"90 days\",\n",
              "    \"return_period\": \"7 days\"\n",
              "  }\n",
              "]\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 3: Duration 5.44 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 3: Duration 5.44 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m4\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">book_data </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> [</span><span style=\"background-color: #272822\">                                                                                                  </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">    {</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"product_id\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">: </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"product_en_0072152\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"name\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">: </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"Digital Ebook Purchase Item 2152\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"price\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">: </span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">87.96</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">},</span><span style=\"background-color: #272822\">          </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">    {</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"product_id\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">: </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"product_en_0061764\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"name\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">: </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"Digital Ebook Purchase Item 1764\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"price\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">: </span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">66.78</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">},</span><span style=\"background-color: #272822\">          </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">    {</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"product_id\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">: </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"product_en_0025873\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"name\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">: </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"Digital Ebook Purchase Item 5873\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"price\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">: </span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">65.58</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">},</span><span style=\"background-color: #272822\">          </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">    {</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"product_id\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">: </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"product_en_0000782\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"name\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">: </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"Book Item 0782\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"price\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">: </span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">50.01</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">},</span><span style=\"background-color: #272822\">                            </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">    {</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"product_id\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">: </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"product_en_0103332\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"name\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">: </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"Digital Ebook Purchase Item 3332\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"price\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">: </span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">42.84</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">}</span><span style=\"background-color: #272822\">           </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"background-color: #272822\">                                                                                                              </span>  \n",
              "  <span style=\"background-color: #272822\">                                                                                                               </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">best_book </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> max(book_data, key</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #66d9ef; text-decoration-color: #66d9ef; background-color: #272822\">lambda</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> x: x[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"price\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">])</span><span style=\"background-color: #272822\">                                                           </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(best_book)</span><span style=\"background-color: #272822\">                                                                                               </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mbook_data\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[48;2;39;40;34m                                                                                                  \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34m    \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m{\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_id\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_en_0072152\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mname\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mDigital Ebook Purchase Item 2152\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mprice\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m87.96\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m          \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34m    \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m{\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_id\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_en_0061764\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mname\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mDigital Ebook Purchase Item 1764\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mprice\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m66.78\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m          \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34m    \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m{\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_id\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_en_0025873\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mname\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mDigital Ebook Purchase Item 5873\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mprice\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m65.58\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m          \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34m    \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m{\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_id\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_en_0000782\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mname\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mBook Item 0782\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mprice\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m50.01\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                            \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34m    \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m{\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_id\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_en_0103332\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mname\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mDigital Ebook Purchase Item 3332\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mprice\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m42.84\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[48;2;39;40;34m           \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[48;2;39;40;34m                                                                                                              \u001b[0m  \n",
              "  \u001b[48;2;39;40;34m                                                                                                               \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mbest_book\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mmax\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mbook_data\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mkey\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mlambda\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mx\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mx\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mprice\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                           \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mbest_book\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                               \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "{'product_id': 'product_en_0072152', 'name': 'Digital Ebook Purchase Item 2152', 'price': 87.96}\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "{'product_id': 'product_en_0072152', 'name': 'Digital Ebook Purchase Item 2152', 'price': 87.96}\n",
              "\n",
              "Out: None\n"
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 4: Duration 1.95 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 4: Duration 1.95 seconds]\u001b[0m\n"
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        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Reached max steps.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mReached max steps.\u001b[0m\n"
            ]
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        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 5: Duration 2.45 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 5: Duration 2.45 seconds]\u001b[0m\n"
            ]
          },
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        },
        {
          "data": {
            "text/plain": [
              "'The best item in the category of book is Digital Ebook Purchase Item 2152.\\n'"
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "base_agent.run(\"What is the best item in the category of book?\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "841400106b8a"
      },
      "source": [
        "# Synthetic Dataset Generation for Agent Evaluation\n",
        "\n",
        "This section explains how we generate realistic test data to evaluate our customer support agent across different configurations and scenarios.\n",
        "\n",
        "## Why We Need Synthetic Evaluation Data\n",
        "\n",
        "Testing with synthetic data helps us:\n",
        "\n",
        "1. **Compare Models Fairly**: We can test different models (Gemini Pro vs Flash) and settings (temperature values) on the exact same customer queries.\n",
        "\n",
        "2. **Save Time and Resources**: Creating test data is faster and cheaper than collecting real customer conversations.\n",
        "\n",
        "3. **Cover Edge Cases**: We can include challenging scenarios that might be rare in real data but important to test.\n",
        "\n",
        "4. **Ensure Consistent Quality**: By filtering examples that meet quality thresholds, we build a reliable benchmark dataset.\n",
        "\n",
        "## How the Dataset Generator Works\n",
        "\n",
        "The `DatasetGenerator` class creates evaluation data through several steps:\n",
        "\n",
        "1. **Creating Realistic Queries**: Generates e-commerce questions using real product IDs, categories, and customer information:\n",
        "   - \"I'm looking for products in the Books category. What do you have?\"\n",
        "   - \"Can you check the status of my order OD123456?\"\n",
        "   - \"What's your best Electronics product? I need something reliable.\"\n",
        "\n",
        "2. **Recording Agent Behavior**: Runs the agent on these queries and captures:\n",
        "   - Which tools the agent used (ProductSearch, OrderStatus, etc.)\n",
        "   - The arguments passed to each tool\n",
        "   - The agent's reasoning at each step\n",
        "   - The final response to the user\n",
        "\n",
        "3. **Evaluating Quality**: Uses a judge model to score:\n",
        "   - Final response quality (0-1 score)\n",
        "   - Individual step effectiveness (0-1 score per step)\n",
        "   - Overall trajectory coherence (0-1 score)\n",
        "\n",
        "4. **Filtering Results**: Only keeps examples that meet quality thresholds (typically 0.7 for each dimension).\n",
        "\n",
        "## Dataset Structure and Applications\n",
        "\n",
        "Each example in the final dataset includes:\n",
        "- The original user prompt\n",
        "- Expected tool usage sequence\n",
        "- Validation criteria\n",
        "- Difficulty rating (easy, medium, hard)\n",
        "- Metadata about model configuration\n",
        "\n",
        "This dataset lets us:\n",
        "1. Determine which model performs best for customer support\n",
        "2. Find the right temperature settings for different query types\n",
        "3. Measure whether planning capabilities improve results\n",
        "4. Identify specific areas where the agent needs improvement\n",
        "\n",
        "By testing systematically, we can build a more effective customer support agent that handles user queries accurately while using computational resources efficiently.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "53a10c30d3f7"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Initialized with thresholds:</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;34mInitialized with thresholds:\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">  final_response: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.7</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "  final_response: \u001b[1;36m0.7\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">  single_step: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.7</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "  single_step: \u001b[1;36m0.7\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">  trajectory: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.7</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "  trajectory: \u001b[1;36m0.7\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Generating customer support evaluation dataset...</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;34mGenerating customer support evaluation dataset\u001b[0m\u001b[1;34m...\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">─────────────────────────────── </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Creating Customer Support Agent Evaluation Dataset</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m─────────────────────────────── \u001b[0m\u001b[1;31mCreating Customer Support Agent Evaluation Dataset\u001b[0m\u001b[92m ────────────────────────────────\u001b[0m\n"
            ]
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          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Agent model: WeaveVertexAIServerModel\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Agent model: WeaveVertexAIServerModel\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Available tools: <span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'product_search'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'order_status'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'category_browse'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'price_check'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'customer_order_history'</span>, \n",
              "<span style=\"color: #008000; text-decoration-color: #008000\">'final_answer'</span><span style=\"font-weight: bold\">]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Available tools: \u001b[1m[\u001b[0m\u001b[32m'product_search'\u001b[0m, \u001b[32m'order_status'\u001b[0m, \u001b[32m'category_browse'\u001b[0m, \u001b[32m'price_check'\u001b[0m, \u001b[32m'customer_order_history'\u001b[0m, \n",
              "\u001b[32m'final_answer'\u001b[0m\u001b[1m]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────── </span><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Generating E-commerce Prompts</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ──────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m────────────────────────────────────────── \u001b[0m\u001b[1;34mGenerating E-commerce Prompts\u001b[0m\u001b[92m ──────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loaded <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">100</span> products and <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">200</span> orders\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Loaded \u001b[1;36m100\u001b[0m products and \u001b[1;36m200\u001b[0m orders\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Sample product IDs: <span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'product_en_0065235'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'product_en_0062384'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'product_en_0036574'</span><span style=\"font-weight: bold\">]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Sample product IDs: \u001b[1m[\u001b[0m\u001b[32m'product_en_0065235'\u001b[0m, \u001b[32m'product_en_0062384'\u001b[0m, \u001b[32m'product_en_0036574'\u001b[0m\u001b[1m]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Sample categories: <span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'shoes'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'pc'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'lawn_and_garden'</span><span style=\"font-weight: bold\">]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Sample categories: \u001b[1m[\u001b[0m\u001b[32m'shoes'\u001b[0m, \u001b[32m'pc'\u001b[0m, \u001b[32m'lawn_and_garden'\u001b[0m\u001b[1m]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000\">Generated </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">5</span><span style=\"color: #008000; text-decoration-color: #008000\"> e-commerce prompts</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[32mGenerated \u001b[0m\u001b[1;32m5\u001b[0m\u001b[32m e-commerce prompts\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">Sample </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #008080; text-decoration-color: #008080\">:</span> I'm looking for products in the shoes category. What do you have?\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[36mSample \u001b[0m\u001b[1;36m1\u001b[0m\u001b[36m:\u001b[0m I'm looking for products in the shoes category. What do you have?\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">Sample </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #008080; text-decoration-color: #008080\">:</span> Can you check the status of my order OD179190?\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[36mSample \u001b[0m\u001b[1;36m2\u001b[0m\u001b[36m:\u001b[0m Can you check the status of my order OD179190?\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">Sample </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span><span style=\"color: #008080; text-decoration-color: #008080\">:</span> How much does product product_en_0065235 cost?\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[36mSample \u001b[0m\u001b[1;36m3\u001b[0m\u001b[36m:\u001b[0m How much does product product_en_0065235 cost?\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">Sample </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"color: #008080; text-decoration-color: #008080\">:</span> Can you show me my recent orders? My customer ID is reviewer_en_0048495\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[36mSample \u001b[0m\u001b[1;36m4\u001b[0m\u001b[36m:\u001b[0m Can you show me my recent orders? My customer ID is reviewer_en_0048495\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">Sample </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span><span style=\"color: #008080; text-decoration-color: #008080\">:</span> I'm looking for pc products and also want to check my order OD471296\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[36mSample \u001b[0m\u001b[1;36m5\u001b[0m\u001b[36m:\u001b[0m I'm looking for pc products and also want to check my order OD471296\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────────── </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Processing Prompt </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">/</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">5</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ──────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m────────────────────────────────────────────── \u001b[0m\u001b[1;31mProcessing Prompt \u001b[0m\u001b[1;31m1\u001b[0m\u001b[1;31m/\u001b[0m\u001b[1;31m5\u001b[0m\u001b[92m ──────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────────────── </span><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Running Agent</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ──────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m────────────────────────────────────────────────── \u001b[0m\u001b[1;34mRunning Agent\u001b[0m\u001b[92m ──────────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #808000; text-decoration-color: #808000\">Prompt:</span> I'm looking for products in the shoes category. What do you have?\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[33mPrompt:\u001b[0m I'm looking for products in the shoes category. What do you have?\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">I'm looking for products in the shoes category. What do you have?</span>                                               <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ WeaveVertexAIServerModel - google/gemini-2.0-flash ────────────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mI'm looking for products in the shoes category. What do you have?\u001b[0m                                               \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m WeaveVertexAIServerModel - google/gemini-2.0-flash \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
            ]
          },
          "metadata": {},
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        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">This agent has step_callbacks: they will be ignored by this method. <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "This agent has step_callbacks: they will be ignored by this method. \u001b[1;36m1\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">This agent has step_callbacks: they will be ignored by this method. <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "This agent has step_callbacks: they will be ignored by this method. \u001b[1;36m1\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">────────────────────────────────────────────────── <span style=\"font-weight: bold\">Initial plan</span> ───────────────────────────────────────────────────\n",
              "Here is the plan of action that I will follow to solve the task:\n",
              "```\n",
              "1. Browse the products by the category \"shoes\" using the `category_browse` tool.\n",
              "2. Formulate a final answer based on the results from the `category_browse` tool.\n",
              "3. Respond to the user with the final answer using the `final_answer` tool.\n",
              "\n",
              "\n",
              "```\n",
              "</pre>\n"
            ],
            "text/plain": [
              "────────────────────────────────────────────────── \u001b[1mInitial plan\u001b[0m ───────────────────────────────────────────────────\n",
              "Here is the plan of action that I will follow to solve the task:\n",
              "```\n",
              "1. Browse the products by the category \"shoes\" using the `category_browse` tool.\n",
              "2. Formulate a final answer based on the results from the `category_browse` tool.\n",
              "3. Respond to the user with the final answer using the `final_answer` tool.\n",
              "\n",
              "\n",
              "```\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
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        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">shoes_products </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> category_browse(category</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"shoes\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                             </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">final_answer(shoes_products)</span><span style=\"background-color: #272822\">                                                                                   </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mshoes_products\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcategory_browse\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcategory\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mshoes\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                             \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mfinal_answer\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mshoes_products\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                   \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Out - Final answer: {</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  \"category\": \"shoes\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  \"product_count\": 1,</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  \"price_range\": \"$54.11 - $54.11\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  \"top_products\": [</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">    {</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"product_id\": \"product_en_0090440\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"name\": \"Shoes Item 0440\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"price\": \"$54.11\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"stock\": 73</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">    }</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  ]</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">}</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;38;2;212;183;2mOut - Final answer: {\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  \"category\": \"shoes\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  \"product_count\": 1,\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  \"price_range\": \"$54.11 - $54.11\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  \"top_products\": [\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m    {\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"product_id\": \"product_en_0090440\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"name\": \"Shoes Item 0440\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"price\": \"$54.11\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"stock\": 73\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m    }\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  ]\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m}\u001b[0m\n"
            ]
          },
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        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 2.97 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 2.97 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Step 1:</span>                                                                                                         │\n",
              "│ Tool: python_interpreter                                                                                        │\n",
              "│ Args: shoes_products = category_browse(category=\"shoes\")                                                        │\n",
              "│ final_answer(shoes_products)                                                                                    │\n",
              "│ Output: {                                                                                                       │\n",
              "│   \"category\": \"shoes\",                                                                                          │\n",
              "│   \"product_count\": 1,                                                                                           │\n",
              "│   \"price_range\": \"$54.11 - $54.11\",                                                                             │\n",
              "│   \"top_products\": [                                                                                             │\n",
              "│     {                                                                                                           │\n",
              "│       \"product_id\": \"product_en_0090440\",                                                                       │\n",
              "│       \"name\": \"Shoes Item 0440\",                                                                                │\n",
              "│       \"price\": \"$54.11\",                                                                                        │\n",
              "│       \"stock\": 73                                                                                               │\n",
              "│     }                                                                                                           │\n",
              "│   ]                                                                                                             │\n",
              "│ }                                                                                                               │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;32mStep 1:\u001b[0m                                                                                                         │\n",
              "│ Tool: python_interpreter                                                                                        │\n",
              "│ Args: shoes_products = category_browse(category=\"shoes\")                                                        │\n",
              "│ final_answer(shoes_products)                                                                                    │\n",
              "│ Output: {                                                                                                       │\n",
              "│   \"category\": \"shoes\",                                                                                          │\n",
              "│   \"product_count\": 1,                                                                                           │\n",
              "│   \"price_range\": \"$54.11 - $54.11\",                                                                             │\n",
              "│   \"top_products\": [                                                                                             │\n",
              "│     {                                                                                                           │\n",
              "│       \"product_id\": \"product_en_0090440\",                                                                       │\n",
              "│       \"name\": \"Shoes Item 0440\",                                                                                │\n",
              "│       \"price\": \"$54.11\",                                                                                        │\n",
              "│       \"stock\": 73                                                                                               │\n",
              "│     }                                                                                                           │\n",
              "│   ]                                                                                                             │\n",
              "│ }                                                                                                               │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "<span style=\"color: #008000; text-decoration-color: #008000\">Final Response:</span> <span style=\"font-weight: bold\">{</span>\n",
              "  <span style=\"color: #008000; text-decoration-color: #008000\">\"category\"</span>: <span style=\"color: #008000; text-decoration-color: #008000\">\"shoes\"</span>,\n",
              "  <span style=\"color: #008000; text-decoration-color: #008000\">\"product_count\"</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>,\n",
              "  <span style=\"color: #008000; text-decoration-color: #008000\">\"price_range\"</span>: <span style=\"color: #008000; text-decoration-color: #008000\">\"$54.11 - $54.11\"</span>,\n",
              "  <span style=\"color: #008000; text-decoration-color: #008000\">\"top_products\"</span>: <span style=\"font-weight: bold\">[</span>\n",
              "    <span style=\"font-weight: bold\">{</span>\n",
              "      <span style=\"color: #008000; text-decoration-color: #008000\">\"product_id\"</span>: <span style=\"color: #008000; text-decoration-color: #008000\">\"product_en_0090440\"</span>,\n",
              "      <span style=\"color: #008000; text-decoration-color: #008000\">\"name\"</span>: <span style=\"color: #008000; text-decoration-color: #008000\">\"Shoes Item 0440\"</span>,\n",
              "      <span style=\"color: #008000; text-decoration-color: #008000\">\"price\"</span>: <span style=\"color: #008000; text-decoration-color: #008000\">\"$54.11\"</span>,\n",
              "      <span style=\"color: #008000; text-decoration-color: #008000\">\"stock\"</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">73</span>\n",
              "    <span style=\"font-weight: bold\">}</span>\n",
              "  <span style=\"font-weight: bold\">]</span>\n",
              "<span style=\"font-weight: bold\">}</span>\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\n",
              "\u001b[32mFinal Response:\u001b[0m \u001b[1m{\u001b[0m\n",
              "  \u001b[32m\"category\"\u001b[0m: \u001b[32m\"shoes\"\u001b[0m,\n",
              "  \u001b[32m\"product_count\"\u001b[0m: \u001b[1;36m1\u001b[0m,\n",
              "  \u001b[32m\"price_range\"\u001b[0m: \u001b[32m\"$54.11 - $54.11\"\u001b[0m,\n",
              "  \u001b[32m\"top_products\"\u001b[0m: \u001b[1m[\u001b[0m\n",
              "    \u001b[1m{\u001b[0m\n",
              "      \u001b[32m\"product_id\"\u001b[0m: \u001b[32m\"product_en_0090440\"\u001b[0m,\n",
              "      \u001b[32m\"name\"\u001b[0m: \u001b[32m\"Shoes Item 0440\"\u001b[0m,\n",
              "      \u001b[32m\"price\"\u001b[0m: \u001b[32m\"$54.11\"\u001b[0m,\n",
              "      \u001b[32m\"stock\"\u001b[0m: \u001b[1;36m73\u001b[0m\n",
              "    \u001b[1m}\u001b[0m\n",
              "  \u001b[1m]\u001b[0m\n",
              "\u001b[1m}\u001b[0m\n",
              "\n"
            ]
          },
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          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Collecting Scores</span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">...</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mCollecting Scores\u001b[0m\u001b[1;33m...\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ shoes_products = category_browse(category=\"shoes\")                                                              │\n",
              "│ final_answer(shoes_products)                                                                                    │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['category_browse', 'final_answer']                                                                │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ shoes_products = category_browse(category=\"shoes\")                                                              │\n",
              "│ final_answer(shoes_products)                                                                                    │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['category_browse', 'final_answer']                                                                │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">───────────────────────────────────────────── </span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Judging Final Response</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ──────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m───────────────────────────────────────────── \u001b[0m\u001b[1;33mJudging Final Response\u001b[0m\u001b[92m ──────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Final Response Score:</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.00</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mFinal Response Score:\u001b[0m \u001b[1;36m1.00\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Reasoning:</span> Correct category, product count, price range, and product information are returned. Appropriate tools \n",
              "are used. The response is clearly communicated.\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mReasoning:\u001b[0m Correct category, product count, price range, and product information are returned. Appropriate tools \n",
              "are used. The response is clearly communicated.\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────────────── </span><span style=\"color: #808000; text-decoration-color: #808000\">Judging Step</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ───────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m────────────────────────────────────────────────── \u001b[0m\u001b[33mJudging Step\u001b[0m\u001b[92m ───────────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ shoes_products = category_browse(category=\"shoes\")                                                              │\n",
              "│ final_answer(shoes_products)                                                                                    │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['category_browse', 'final_answer']                                                                │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ shoes_products = category_browse(category=\"shoes\")                                                              │\n",
              "│ final_answer(shoes_products)                                                                                    │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['category_browse', 'final_answer']                                                                │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Tools Used: <span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'category_browse'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'final_answer'</span><span style=\"font-weight: bold\">]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Tools Used: \u001b[1m[\u001b[0m\u001b[32m'category_browse'\u001b[0m, \u001b[32m'final_answer'\u001b[0m\u001b[1m]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Score:</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.00</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mScore:\u001b[0m \u001b[1;36m1.00\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Reasoning:</span> The agent correctly uses the category_browse tool to fetch products in the <span style=\"color: #008000; text-decoration-color: #008000\">\"shoes\"</span> category and then \n",
              "presents them to the user using final_answer. The reasoning and code are accurate, directly addressing the user's \n",
              "prompt.\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mReasoning:\u001b[0m The agent correctly uses the category_browse tool to fetch products in the \u001b[32m\"shoes\"\u001b[0m category and then \n",
              "presents them to the user using final_answer. The reasoning and code are accurate, directly addressing the user's \n",
              "prompt.\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">─────────────────────────────────────────────── </span><span style=\"color: #808000; text-decoration-color: #808000\">Judging Trajectory</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m─────────────────────────────────────────────── \u001b[0m\u001b[33mJudging Trajectory\u001b[0m\u001b[92m ────────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
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        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ shoes_products = category_browse(category=\"shoes\")                                                              │\n",
              "│ final_answer(shoes_products)                                                                                    │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['category_browse', 'final_answer']                                                                │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ shoes_products = category_browse(category=\"shoes\")                                                              │\n",
              "│ final_answer(shoes_products)                                                                                    │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['category_browse', 'final_answer']                                                                │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Step <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> Tools: <span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'category_browse'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'final_answer'</span><span style=\"font-weight: bold\">]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Step \u001b[1;36m1\u001b[0m Tools: \u001b[1m[\u001b[0m\u001b[32m'category_browse'\u001b[0m, \u001b[32m'final_answer'\u001b[0m\u001b[1m]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Trajectory Score:</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.00</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mTrajectory Score:\u001b[0m \u001b[1;36m1.00\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Reasoning:</span> The agent correctly uses the `category_browse` tool with the <span style=\"color: #008000; text-decoration-color: #008000\">\"shoes\"</span> category and then the \n",
              "`final_answer` tool to display the results. The response is comprehensive and includes product count, price range, \n",
              "and top product details. The code is efficient and directly addresses the user prompt.\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mReasoning:\u001b[0m The agent correctly uses the `category_browse` tool with the \u001b[32m\"shoes\"\u001b[0m category and then the \n",
              "`final_answer` tool to display the results. The response is comprehensive and includes product count, price range, \n",
              "and top product details. The code is efficient and directly addresses the user prompt.\n",
              "\n"
            ]
          },
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">                                                 Evaluation Scores                                                 </span>\n",
              "┏━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
              "┃<span style=\"font-weight: bold\"> Metric         </span>┃<span style=\"font-weight: bold\"> Score </span>┃<span style=\"font-weight: bold\"> Reasoning                                                                              </span>┃\n",
              "┡━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Final Response </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 1.00  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> Correct category, product count, price range, and product information are returned.    </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">       </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> Appropriate tools are used. The response is clearly communicated.                      </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Trajectory     </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 1.00  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> The agent correctly uses the `category_browse` tool with the \"shoes\" category and then </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">       </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> the `final_answer` tool to display the results. The response is comprehensive and      </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">       </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> includes product count, price range, and top product details. The code is efficient    </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">       </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> and directly addresses the user prompt.                                                </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Step Scores    </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 1.00  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> The agent correctly uses the category_browse tool to fetch products in the \"shoes\"     </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">       </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> category and then presents them to the user using final_answer. The reasoning and code </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">       </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> are accurate, directly addressing the user's prompt.                                   </span>│\n",
              "└────────────────┴───────┴────────────────────────────────────────────────────────────────────────────────────────┘\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[3m                                                 Evaluation Scores                                                 \u001b[0m\n",
              "┏━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
              "┃\u001b[1m \u001b[0m\u001b[1mMetric        \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mScore\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mReasoning                                                                             \u001b[0m\u001b[1m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
              "│\u001b[36m \u001b[0m\u001b[36mFinal Response\u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m1.00 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[33mCorrect category, product count, price range, and product information are returned.   \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m       \u001b[0m│\u001b[33m \u001b[0m\u001b[33mAppropriate tools are used. The response is clearly communicated.                     \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mTrajectory    \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m1.00 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[33mThe agent correctly uses the `category_browse` tool with the \"shoes\" category and then\u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m       \u001b[0m│\u001b[33m \u001b[0m\u001b[33mthe `final_answer` tool to display the results. The response is comprehensive and     \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m       \u001b[0m│\u001b[33m \u001b[0m\u001b[33mincludes product count, price range, and top product details. The code is efficient   \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m       \u001b[0m│\u001b[33m \u001b[0m\u001b[33mand directly addresses the user prompt.                                               \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mStep Scores   \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m1.00 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[33mThe agent correctly uses the category_browse tool to fetch products in the \"shoes\"    \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m       \u001b[0m│\u001b[33m \u001b[0m\u001b[33mcategory and then presents them to the user using final_answer. The reasoning and code\u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m       \u001b[0m│\u001b[33m \u001b[0m\u001b[33mare accurate, directly addressing the user's prompt.                                  \u001b[0m\u001b[33m \u001b[0m│\n",
              "└────────────────┴───────┴────────────────────────────────────────────────────────────────────────────────────────┘\n"
            ]
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ shoes_products = category_browse(category=\"shoes\")                                                              │\n",
              "│ final_answer(shoes_products)                                                                                    │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['category_browse', 'final_answer']                                                                │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ shoes_products = category_browse(category=\"shoes\")                                                              │\n",
              "│ final_answer(shoes_products)                                                                                    │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['category_browse', 'final_answer']                                                                │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Run Summary</span>                                                                                                     │\n",
              "│ Steps: 1                                                                                                        │\n",
              "│ Tools Used: ['category_browse', 'final_answer']                                                                 │\n",
              "│ Planning: Enabled                                                                                               │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mRun Summary\u001b[0m                                                                                                     │\n",
              "│ Steps: 1                                                                                                        │\n",
              "│ Tools Used: ['category_browse', 'final_answer']                                                                 │\n",
              "│ Planning: Enabled                                                                                               │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
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        },
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────────── </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Processing Prompt </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">2</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">/</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">5</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ──────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
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              "\u001b[92m────────────────────────────────────────────── \u001b[0m\u001b[1;31mProcessing Prompt \u001b[0m\u001b[1;31m2\u001b[0m\u001b[1;31m/\u001b[0m\u001b[1;31m5\u001b[0m\u001b[92m ──────────────────────────────────────────────\u001b[0m\n"
            ]
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────────────── </span><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Running Agent</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ──────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
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              "\u001b[92m────────────────────────────────────────────────── \u001b[0m\u001b[1;34mRunning Agent\u001b[0m\u001b[92m ──────────────────────────────────────────────────\u001b[0m\n"
            ]
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #808000; text-decoration-color: #808000\">Prompt:</span> Can you check the status of my order OD179190?\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[33mPrompt:\u001b[0m Can you check the status of my order OD179190?\n",
              "\n"
            ]
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          "output_type": "display_data"
        },
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Can you check the status of my order OD179190?</span>                                                                  <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ WeaveVertexAIServerModel - google/gemini-2.0-flash ────────────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
            ],
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              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mCan you check the status of my order OD179190?\u001b[0m                                                                  \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m WeaveVertexAIServerModel - google/gemini-2.0-flash \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
            ]
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">────────────────────────────────────────────────── <span style=\"font-weight: bold\">Initial plan</span> ───────────────────────────────────────────────────\n",
              "Here is the plan of action that I will follow to solve the task:\n",
              "```\n",
              "1. Use the `order_status` tool to check the status of the order with ID OD179190.\n",
              "2. Use the `final_answer` tool to provide the order status to the user.\n",
              "\\\n",
              "\n",
              "```\n",
              "</pre>\n"
            ],
            "text/plain": [
              "────────────────────────────────────────────────── \u001b[1mInitial plan\u001b[0m ───────────────────────────────────────────────────\n",
              "Here is the plan of action that I will follow to solve the task:\n",
              "```\n",
              "1. Use the `order_status` tool to check the status of the order with ID OD179190.\n",
              "2. Use the `final_answer` tool to provide the order status to the user.\n",
              "\\\n",
              "\n",
              "```\n"
            ]
          },
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
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              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">order_id </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"OD179190\"</span><span style=\"background-color: #272822\">                                                                                          </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">order_information </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> order_status(order_id</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">order_id)</span><span style=\"background-color: #272822\">                                                            </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(order_information)</span><span style=\"background-color: #272822\">                                                                                       </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34morder_id\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mOD179190\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[48;2;39;40;34m                                                                                          \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34morder_information\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34morder_status\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34morder_id\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34morder_id\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                            \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34morder_information\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                       \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "{\n",
              "  \"order_id\": \"OD179190\",\n",
              "  \"customer_id\": \"reviewer_en_0852181\",\n",
              "  \"product_id\": \"product_en_0715785\",\n",
              "  \"status\": \"processing\",\n",
              "  \"order_date\": \"2025-02-19\",\n",
              "  \"delivery_date\": NaN,\n",
              "  \"estimated_delivery_date\": \"2025-02-22\",\n",
              "  \"tracking_number\": NaN,\n",
              "  \"delivery_estimate\": \"2025-02-22\"\n",
              "}\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "{\n",
              "  \"order_id\": \"OD179190\",\n",
              "  \"customer_id\": \"reviewer_en_0852181\",\n",
              "  \"product_id\": \"product_en_0715785\",\n",
              "  \"status\": \"processing\",\n",
              "  \"order_date\": \"2025-02-19\",\n",
              "  \"delivery_date\": NaN,\n",
              "  \"estimated_delivery_date\": \"2025-02-22\",\n",
              "  \"tracking_number\": NaN,\n",
              "  \"delivery_estimate\": \"2025-02-22\"\n",
              "}\n",
              "\n",
              "Out: None\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 5.01 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 5.01 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">order_status_information </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"The order status is processing, and the estimated delivery date is 2025-02-22.\"</span><span style=\"background-color: #272822\">    </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">final_answer(order_status_information)</span><span style=\"background-color: #272822\">                                                                         </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34morder_status_information\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mThe order status is processing, and the estimated delivery date is 2025-02-22.\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[48;2;39;40;34m    \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mfinal_answer\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34morder_status_information\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Out - Final answer: The order status is processing, and the estimated delivery date is 2025-02-22.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;38;2;212;183;2mOut - Final answer: The order status is processing, and the estimated delivery date is 2025-02-22.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 2: Duration 0.98 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 2: Duration 0.98 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Step 1:</span>                                                                                                         │\n",
              "│ Tool: python_interpreter                                                                                        │\n",
              "│ Args: order_id = \"OD179190\"                                                                                     │\n",
              "│ order_information = order_status(order_id=order_id)                                                             │\n",
              "│ print(order_information)                                                                                        │\n",
              "│ Output: None                                                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;32mStep 1:\u001b[0m                                                                                                         │\n",
              "│ Tool: python_interpreter                                                                                        │\n",
              "│ Args: order_id = \"OD179190\"                                                                                     │\n",
              "│ order_information = order_status(order_id=order_id)                                                             │\n",
              "│ print(order_information)                                                                                        │\n",
              "│ Output: None                                                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Step 2:</span>                                                                                                         │\n",
              "│ Tool: python_interpreter                                                                                        │\n",
              "│ Args: order_status_information = \"The order status is processing, and the estimated delivery date is            │\n",
              "│ 2025-02-22.\"                                                                                                    │\n",
              "│ final_answer(order_status_information)                                                                          │\n",
              "│ Output: The order status is processing, and the estimated delivery date is 2025-02-22.                          │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;32mStep 2:\u001b[0m                                                                                                         │\n",
              "│ Tool: python_interpreter                                                                                        │\n",
              "│ Args: order_status_information = \"The order status is processing, and the estimated delivery date is            │\n",
              "│ 2025-02-22.\"                                                                                                    │\n",
              "│ final_answer(order_status_information)                                                                          │\n",
              "│ Output: The order status is processing, and the estimated delivery date is 2025-02-22.                          │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "<span style=\"color: #008000; text-decoration-color: #008000\">Final Response:</span> The order status is processing, and the estimated delivery date is <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">02</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">22</span>.\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\n",
              "\u001b[32mFinal Response:\u001b[0m The order status is processing, and the estimated delivery date is \u001b[1;36m2025\u001b[0m-\u001b[1;36m02\u001b[0m-\u001b[1;36m22\u001b[0m.\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Collecting Scores</span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">...</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mCollecting Scores\u001b[0m\u001b[1;33m...\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ order_id = \"OD179190\"                                                                                           │\n",
              "│ order_information = order_status(order_id=order_id)                                                             │\n",
              "│ print(order_information)                                                                                        │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['order_status']                                                                                   │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ order_id = \"OD179190\"                                                                                           │\n",
              "│ order_information = order_status(order_id=order_id)                                                             │\n",
              "│ print(order_information)                                                                                        │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['order_status']                                                                                   │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ order_status_information = \"The order status is processing, and the estimated delivery date is 2025-02-22.\"     │\n",
              "│ final_answer(order_status_information)                                                                          │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['order_status', 'final_answer']                                                                   │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ order_status_information = \"The order status is processing, and the estimated delivery date is 2025-02-22.\"     │\n",
              "│ final_answer(order_status_information)                                                                          │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['order_status', 'final_answer']                                                                   │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">───────────────────────────────────────────── </span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Judging Final Response</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ──────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m───────────────────────────────────────────── \u001b[0m\u001b[1;33mJudging Final Response\u001b[0m\u001b[92m ──────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Final Response Score:</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.00</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mFinal Response Score:\u001b[0m \u001b[1;36m1.00\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Reasoning:</span> The agent successfully used the available tools to respond to the user query accurately and completely. \n",
              "The response is also easy to understand.\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mReasoning:\u001b[0m The agent successfully used the available tools to respond to the user query accurately and completely. \n",
              "The response is also easy to understand.\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────────────── </span><span style=\"color: #808000; text-decoration-color: #808000\">Judging Step</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ───────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m────────────────────────────────────────────────── \u001b[0m\u001b[33mJudging Step\u001b[0m\u001b[92m ───────────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ order_id = \"OD179190\"                                                                                           │\n",
              "│ order_information = order_status(order_id=order_id)                                                             │\n",
              "│ print(order_information)                                                                                        │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['order_status']                                                                                   │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ order_id = \"OD179190\"                                                                                           │\n",
              "│ order_information = order_status(order_id=order_id)                                                             │\n",
              "│ print(order_information)                                                                                        │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['order_status']                                                                                   │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Tools Used: <span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'order_status'</span><span style=\"font-weight: bold\">]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Tools Used: \u001b[1m[\u001b[0m\u001b[32m'order_status'\u001b[0m\u001b[1m]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Score:</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.00</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mScore:\u001b[0m \u001b[1;36m1.00\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Reasoning:</span> The agent correctly used the `order_status` tool to retrieve the order information for the provided \n",
              "order ID. The reasoning and code are clear and directly address the user's prompt.  This is a good first step \n",
              "towards providing the user with the order status.\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mReasoning:\u001b[0m The agent correctly used the `order_status` tool to retrieve the order information for the provided \n",
              "order ID. The reasoning and code are clear and directly address the user's prompt.  This is a good first step \n",
              "towards providing the user with the order status.\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────────────── </span><span style=\"color: #808000; text-decoration-color: #808000\">Judging Step</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ───────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m────────────────────────────────────────────────── \u001b[0m\u001b[33mJudging Step\u001b[0m\u001b[92m ───────────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ order_status_information = \"The order status is processing, and the estimated delivery date is 2025-02-22.\"     │\n",
              "│ final_answer(order_status_information)                                                                          │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['order_status', 'final_answer']                                                                   │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ order_status_information = \"The order status is processing, and the estimated delivery date is 2025-02-22.\"     │\n",
              "│ final_answer(order_status_information)                                                                          │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['order_status', 'final_answer']                                                                   │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Tools Used: <span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'order_status'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'final_answer'</span><span style=\"font-weight: bold\">]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Tools Used: \u001b[1m[\u001b[0m\u001b[32m'order_status'\u001b[0m, \u001b[32m'final_answer'\u001b[0m\u001b[1m]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Score:</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.00</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mScore:\u001b[0m \u001b[1;36m1.00\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Reasoning:</span> The agent correctly used the available information and tools to respond to the user prompt. The \n",
              "reasoning and code are accurate and appropriate. The response is also easy to understand.\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mReasoning:\u001b[0m The agent correctly used the available information and tools to respond to the user prompt. The \n",
              "reasoning and code are accurate and appropriate. The response is also easy to understand.\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">─────────────────────────────────────────────── </span><span style=\"color: #808000; text-decoration-color: #808000\">Judging Trajectory</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m─────────────────────────────────────────────── \u001b[0m\u001b[33mJudging Trajectory\u001b[0m\u001b[92m ────────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ order_id = \"OD179190\"                                                                                           │\n",
              "│ order_information = order_status(order_id=order_id)                                                             │\n",
              "│ print(order_information)                                                                                        │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['order_status']                                                                                   │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ order_id = \"OD179190\"                                                                                           │\n",
              "│ order_information = order_status(order_id=order_id)                                                             │\n",
              "│ print(order_information)                                                                                        │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['order_status']                                                                                   │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Step <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> Tools: <span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'order_status'</span><span style=\"font-weight: bold\">]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Step \u001b[1;36m1\u001b[0m Tools: \u001b[1m[\u001b[0m\u001b[32m'order_status'\u001b[0m\u001b[1m]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ order_status_information = \"The order status is processing, and the estimated delivery date is 2025-02-22.\"     │\n",
              "│ final_answer(order_status_information)                                                                          │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['order_status', 'final_answer']                                                                   │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ order_status_information = \"The order status is processing, and the estimated delivery date is 2025-02-22.\"     │\n",
              "│ final_answer(order_status_information)                                                                          │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['order_status', 'final_answer']                                                                   │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Step <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span> Tools: <span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'order_status'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'final_answer'</span><span style=\"font-weight: bold\">]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Step \u001b[1;36m2\u001b[0m Tools: \u001b[1m[\u001b[0m\u001b[32m'order_status'\u001b[0m, \u001b[32m'final_answer'\u001b[0m\u001b[1m]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Trajectory Score:</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.00</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mTrajectory Score:\u001b[0m \u001b[1;36m1.00\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Reasoning:</span> The agent correctly used the available tools to find the order status and return it to the user. The \n",
              "agent first used the `order_status` tool with the correct order ID, then used the `final_answer` tool to give the \n",
              "information back to the user.\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mReasoning:\u001b[0m The agent correctly used the available tools to find the order status and return it to the user. The \n",
              "agent first used the `order_status` tool with the correct order ID, then used the `final_answer` tool to give the \n",
              "information back to the user.\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">                                                 Evaluation Scores                                                 </span>\n",
              "┏━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
              "┃<span style=\"font-weight: bold\"> Metric         </span>┃<span style=\"font-weight: bold\"> Score      </span>┃<span style=\"font-weight: bold\"> Reasoning                                                                         </span>┃\n",
              "┡━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Final Response </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 1.00       </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> The agent successfully used the available tools to respond to the user query      </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">            </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> accurately and completely. The response is also easy to understand.               </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Trajectory     </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 1.00       </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> The agent correctly used the available tools to find the order status and return  </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">            </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> it to the user. The agent first used the `order_status` tool with the correct     </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">            </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> order ID, then used the `final_answer` tool to give the information back to the   </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">            </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> user.                                                                             </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Step Scores    </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 1.00, 1.00 </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> The agent correctly used the `order_status` tool to retrieve the order            </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">            </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> information for the provided order ID. The reasoning and code are clear and       </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">            </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> directly address the user's prompt.  This is a good first step towards providing  </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">            </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> the user with the order status.                                                   </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">            </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> The agent correctly used the available information and tools to respond to the    </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">            </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> user prompt. The reasoning and code are accurate and appropriate. The response is </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">            </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> also easy to understand.                                                          </span>│\n",
              "└────────────────┴────────────┴───────────────────────────────────────────────────────────────────────────────────┘\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[3m                                                 Evaluation Scores                                                 \u001b[0m\n",
              "┏━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
              "┃\u001b[1m \u001b[0m\u001b[1mMetric        \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mScore     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mReasoning                                                                        \u001b[0m\u001b[1m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
              "│\u001b[36m \u001b[0m\u001b[36mFinal Response\u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m1.00      \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[33mThe agent successfully used the available tools to respond to the user query     \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m            \u001b[0m│\u001b[33m \u001b[0m\u001b[33maccurately and completely. The response is also easy to understand.              \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mTrajectory    \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m1.00      \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[33mThe agent correctly used the available tools to find the order status and return \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m            \u001b[0m│\u001b[33m \u001b[0m\u001b[33mit to the user. The agent first used the `order_status` tool with the correct    \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m            \u001b[0m│\u001b[33m \u001b[0m\u001b[33morder ID, then used the `final_answer` tool to give the information back to the  \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m            \u001b[0m│\u001b[33m \u001b[0m\u001b[33muser.                                                                            \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mStep Scores   \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m1.00, 1.00\u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[33mThe agent correctly used the `order_status` tool to retrieve the order           \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m            \u001b[0m│\u001b[33m \u001b[0m\u001b[33minformation for the provided order ID. The reasoning and code are clear and      \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m            \u001b[0m│\u001b[33m \u001b[0m\u001b[33mdirectly address the user's prompt.  This is a good first step towards providing \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m            \u001b[0m│\u001b[33m \u001b[0m\u001b[33mthe user with the order status.                                                  \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m            \u001b[0m│\u001b[33m \u001b[0m\u001b[33mThe agent correctly used the available information and tools to respond to the   \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m            \u001b[0m│\u001b[33m \u001b[0m\u001b[33muser prompt. The reasoning and code are accurate and appropriate. The response is\u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m            \u001b[0m│\u001b[33m \u001b[0m\u001b[33malso easy to understand.                                                         \u001b[0m\u001b[33m \u001b[0m│\n",
              "└────────────────┴────────────┴───────────────────────────────────────────────────────────────────────────────────┘\n"
            ]
          },
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          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ order_id = \"OD179190\"                                                                                           │\n",
              "│ order_information = order_status(order_id=order_id)                                                             │\n",
              "│ print(order_information)                                                                                        │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['order_status']                                                                                   │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ order_id = \"OD179190\"                                                                                           │\n",
              "│ order_information = order_status(order_id=order_id)                                                             │\n",
              "│ print(order_information)                                                                                        │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['order_status']                                                                                   │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ order_status_information = \"The order status is processing, and the estimated delivery date is 2025-02-22.\"     │\n",
              "│ final_answer(order_status_information)                                                                          │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['order_status', 'final_answer']                                                                   │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ order_status_information = \"The order status is processing, and the estimated delivery date is 2025-02-22.\"     │\n",
              "│ final_answer(order_status_information)                                                                          │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['order_status', 'final_answer']                                                                   │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Run Summary</span>                                                                                                     │\n",
              "│ Steps: 2                                                                                                        │\n",
              "│ Tools Used: ['order_status', 'final_answer']                                                                    │\n",
              "│ Planning: Enabled                                                                                               │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mRun Summary\u001b[0m                                                                                                     │\n",
              "│ Steps: 2                                                                                                        │\n",
              "│ Tools Used: ['order_status', 'final_answer']                                                                    │\n",
              "│ Planning: Enabled                                                                                               │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────────── </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Processing Prompt </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">3</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">/</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">5</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ──────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m────────────────────────────────────────────── \u001b[0m\u001b[1;31mProcessing Prompt \u001b[0m\u001b[1;31m3\u001b[0m\u001b[1;31m/\u001b[0m\u001b[1;31m5\u001b[0m\u001b[92m ──────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────────────── </span><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Running Agent</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ──────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m────────────────────────────────────────────────── \u001b[0m\u001b[1;34mRunning Agent\u001b[0m\u001b[92m ──────────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #808000; text-decoration-color: #808000\">Prompt:</span> How much does product product_en_0065235 cost?\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[33mPrompt:\u001b[0m How much does product product_en_0065235 cost?\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">How much does product product_en_0065235 cost?</span>                                                                  <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ WeaveVertexAIServerModel - google/gemini-2.0-flash ────────────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mHow much does product product_en_0065235 cost?\u001b[0m                                                                  \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m WeaveVertexAIServerModel - google/gemini-2.0-flash \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">────────────────────────────────────────────────── <span style=\"font-weight: bold\">Initial plan</span> ───────────────────────────────────────────────────\n",
              "Here is the plan of action that I will follow to solve the task:\n",
              "```\n",
              "1. Use the `price_check` tool to find the price of the product with ID `product_en_0065235`.\n",
              "2. Use the `final_answer` tool to provide the price obtained in the previous step as the answer.\n",
              "\n",
              "\n",
              "```\n",
              "</pre>\n"
            ],
            "text/plain": [
              "────────────────────────────────────────────────── \u001b[1mInitial plan\u001b[0m ───────────────────────────────────────────────────\n",
              "Here is the plan of action that I will follow to solve the task:\n",
              "```\n",
              "1. Use the `price_check` tool to find the price of the product with ID `product_en_0065235`.\n",
              "2. Use the `final_answer` tool to provide the price obtained in the previous step as the answer.\n",
              "\n",
              "\n",
              "```\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">product_id </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"product_en_0065235\"</span><span style=\"background-color: #272822\">                                                                              </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">price </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> price_check(product_id</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">product_id)</span><span style=\"background-color: #272822\">                                                                     </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(price)</span><span style=\"background-color: #272822\">                                                                                                   </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mproduct_id\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_en_0065235\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[48;2;39;40;34m                                                                              \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprice\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mprice_check\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mproduct_id\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mproduct_id\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                     \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mprice\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                                   \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Code execution failed at line </span><span style=\"color: #008000; text-decoration-color: #008000\">'price = price_check(product_id=product_id)'</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> due to: TypeError: Object of type bool </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">is not JSON serializable</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mCode execution failed at line \u001b[0m\u001b[32m'price = price_check\u001b[0m\u001b[32m(\u001b[0m\u001b[32mproduct_id\u001b[0m\u001b[32m=\u001b[0m\u001b[32mproduct_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[1;31m due to: TypeError: Object of type bool \u001b[0m\n",
              "\u001b[1;31mis not JSON serializable\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 2.55 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 2.55 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">product_id </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"product_en_0065235\"</span><span style=\"background-color: #272822\">                                                                              </span>  \n",
              "  <span style=\"color: #66d9ef; text-decoration-color: #66d9ef; background-color: #272822\">try</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">:</span><span style=\"background-color: #272822\">                                                                                                           </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">    price </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> price_check(product_id</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">product_id)</span><span style=\"background-color: #272822\">                                                                 </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">    print(price)</span><span style=\"background-color: #272822\">                                                                                               </span>  \n",
              "  <span style=\"color: #66d9ef; text-decoration-color: #66d9ef; background-color: #272822\">except</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> </span><span style=\"color: #a6e22e; text-decoration-color: #a6e22e; background-color: #272822\">Exception</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> </span><span style=\"color: #66d9ef; text-decoration-color: #66d9ef; background-color: #272822\">as</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> e:</span><span style=\"background-color: #272822\">                                                                                         </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">    print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Error checking price: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">e</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                                        </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">    price </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"Product not found or error occurred\"</span><span style=\"background-color: #272822\">                                                              </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">final_answer(price)</span><span style=\"background-color: #272822\">                                                                                            </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mproduct_id\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_en_0065235\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[48;2;39;40;34m                                                                              \u001b[0m  \n",
              "  \u001b[38;2;102;217;239;48;2;39;40;34mtry\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[48;2;39;40;34m                                                                                                           \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34m    \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mprice\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mprice_check\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mproduct_id\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mproduct_id\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                 \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34m    \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mprice\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                               \u001b[0m  \n",
              "  \u001b[38;2;102;217;239;48;2;39;40;34mexcept\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;166;226;46;48;2;39;40;34mException\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mas\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34me\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[48;2;39;40;34m                                                                                         \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34m    \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mError checking price: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34me\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                        \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34m    \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mprice\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mProduct not found or error occurred\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[48;2;39;40;34m                                                              \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mfinal_answer\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mprice\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                            \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "Error checking price: Object of type bool is not JSON serializable\n",
              "\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Out - Final answer: Product not found or error occurred</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "Error checking price: Object of type bool is not JSON serializable\n",
              "\n",
              "\u001b[1;38;2;212;183;2mOut - Final answer: Product not found or error occurred\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 2: Duration 1.12 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 2: Duration 1.12 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Step 1:</span>                                                                                                         │\n",
              "│ Tool: python_interpreter                                                                                        │\n",
              "│ Args: product_id = \"product_en_0065235\"                                                                         │\n",
              "│ price = price_check(product_id=product_id)                                                                      │\n",
              "│ print(price)                                                                                                    │\n",
              "│ Output: None                                                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;32mStep 1:\u001b[0m                                                                                                         │\n",
              "│ Tool: python_interpreter                                                                                        │\n",
              "│ Args: product_id = \"product_en_0065235\"                                                                         │\n",
              "│ price = price_check(product_id=product_id)                                                                      │\n",
              "│ print(price)                                                                                                    │\n",
              "│ Output: None                                                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Step 2:</span>                                                                                                         │\n",
              "│ Tool: python_interpreter                                                                                        │\n",
              "│ Args: product_id = \"product_en_0065235\"                                                                         │\n",
              "│ try:                                                                                                            │\n",
              "│     price = price_check(product_id=product_id)                                                                  │\n",
              "│     print(price)                                                                                                │\n",
              "│ except Exception as e:                                                                                          │\n",
              "│     print(f\"Error checking price: {e}\")                                                                         │\n",
              "│     price = \"Product not found or error occurred\"                                                               │\n",
              "│ final_answer(price)                                                                                             │\n",
              "│ Output: Product not found or error occurred                                                                     │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;32mStep 2:\u001b[0m                                                                                                         │\n",
              "│ Tool: python_interpreter                                                                                        │\n",
              "│ Args: product_id = \"product_en_0065235\"                                                                         │\n",
              "│ try:                                                                                                            │\n",
              "│     price = price_check(product_id=product_id)                                                                  │\n",
              "│     print(price)                                                                                                │\n",
              "│ except Exception as e:                                                                                          │\n",
              "│     print(f\"Error checking price: {e}\")                                                                         │\n",
              "│     price = \"Product not found or error occurred\"                                                               │\n",
              "│ final_answer(price)                                                                                             │\n",
              "│ Output: Product not found or error occurred                                                                     │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "<span style=\"color: #008000; text-decoration-color: #008000\">Final Response:</span> Product not found or error occurred\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\n",
              "\u001b[32mFinal Response:\u001b[0m Product not found or error occurred\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Collecting Scores</span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">...</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mCollecting Scores\u001b[0m\u001b[1;33m...\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ product_id = \"product_en_0065235\"                                                                               │\n",
              "│ price = price_check(product_id=product_id)                                                                      │\n",
              "│ print(price)                                                                                                    │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['price_check']                                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ product_id = \"product_en_0065235\"                                                                               │\n",
              "│ price = price_check(product_id=product_id)                                                                      │\n",
              "│ print(price)                                                                                                    │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['price_check']                                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ product_id = \"product_en_0065235\"                                                                               │\n",
              "│ try:                                                                                                            │\n",
              "│     price = price_check(product_id=product_id)                                                                  │\n",
              "│     print(price)                                                                                                │\n",
              "│ except Exception as e:                                                                                          │\n",
              "│     print(f\"Error checking price: {e}\")                                                                         │\n",
              "│     price = \"Product not found or error occurred\"                                                               │\n",
              "│ final_answer(price)                                                                                             │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['price_check', 'final_answer']                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ product_id = \"product_en_0065235\"                                                                               │\n",
              "│ try:                                                                                                            │\n",
              "│     price = price_check(product_id=product_id)                                                                  │\n",
              "│     print(price)                                                                                                │\n",
              "│ except Exception as e:                                                                                          │\n",
              "│     print(f\"Error checking price: {e}\")                                                                         │\n",
              "│     price = \"Product not found or error occurred\"                                                               │\n",
              "│ final_answer(price)                                                                                             │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['price_check', 'final_answer']                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">───────────────────────────────────────────── </span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Judging Final Response</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ──────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m───────────────────────────────────────────── \u001b[0m\u001b[1;33mJudging Final Response\u001b[0m\u001b[92m ──────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Final Response Score:</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.30</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mFinal Response Score:\u001b[0m \u001b[1;36m0.30\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Reasoning:</span> Although the tool usage was appropriate, the final answer was incorrect. It should have returned a \n",
              "price. The response was also not very informative.\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mReasoning:\u001b[0m Although the tool usage was appropriate, the final answer was incorrect. It should have returned a \n",
              "price. The response was also not very informative.\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────────────── </span><span style=\"color: #808000; text-decoration-color: #808000\">Judging Step</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ───────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m────────────────────────────────────────────────── \u001b[0m\u001b[33mJudging Step\u001b[0m\u001b[92m ───────────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ product_id = \"product_en_0065235\"                                                                               │\n",
              "│ price = price_check(product_id=product_id)                                                                      │\n",
              "│ print(price)                                                                                                    │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['price_check']                                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ product_id = \"product_en_0065235\"                                                                               │\n",
              "│ price = price_check(product_id=product_id)                                                                      │\n",
              "│ print(price)                                                                                                    │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['price_check']                                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Tools Used: <span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'price_check'</span><span style=\"font-weight: bold\">]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Tools Used: \u001b[1m[\u001b[0m\u001b[32m'price_check'\u001b[0m\u001b[1m]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Score:</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.00</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mScore:\u001b[0m \u001b[1;36m1.00\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Reasoning:</span> The agent correctly used the available tool and the appropriate arguments to check the price. The \n",
              "reasoning is sound and effective.\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mReasoning:\u001b[0m The agent correctly used the available tool and the appropriate arguments to check the price. The \n",
              "reasoning is sound and effective.\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────────────── </span><span style=\"color: #808000; text-decoration-color: #808000\">Judging Step</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ───────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m────────────────────────────────────────────────── \u001b[0m\u001b[33mJudging Step\u001b[0m\u001b[92m ───────────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ product_id = \"product_en_0065235\"                                                                               │\n",
              "│ try:                                                                                                            │\n",
              "│     price = price_check(product_id=product_id)                                                                  │\n",
              "│     print(price)                                                                                                │\n",
              "│ except Exception as e:                                                                                          │\n",
              "│     print(f\"Error checking price: {e}\")                                                                         │\n",
              "│     price = \"Product not found or error occurred\"                                                               │\n",
              "│ final_answer(price)                                                                                             │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['price_check', 'final_answer']                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ product_id = \"product_en_0065235\"                                                                               │\n",
              "│ try:                                                                                                            │\n",
              "│     price = price_check(product_id=product_id)                                                                  │\n",
              "│     print(price)                                                                                                │\n",
              "│ except Exception as e:                                                                                          │\n",
              "│     print(f\"Error checking price: {e}\")                                                                         │\n",
              "│     price = \"Product not found or error occurred\"                                                               │\n",
              "│ final_answer(price)                                                                                             │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['price_check', 'final_answer']                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Tools Used: <span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'price_check'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'final_answer'</span><span style=\"font-weight: bold\">]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Tools Used: \u001b[1m[\u001b[0m\u001b[32m'price_check'\u001b[0m, \u001b[32m'final_answer'\u001b[0m\u001b[1m]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Score:</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.00</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mScore:\u001b[0m \u001b[1;36m1.00\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Reasoning:</span> The agent correctly attempts to check the price using the available tool and implements reasonable error\n",
              "handling. The reasoning is sound and the code is appropriate. It makes good progress toward answering the user's \n",
              "question, although the final answer will depend on the actual price returned by the tool or the handling of the \n",
              "error if the product is not found.  The step is clear and effective.\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mReasoning:\u001b[0m The agent correctly attempts to check the price using the available tool and implements reasonable error\n",
              "handling. The reasoning is sound and the code is appropriate. It makes good progress toward answering the user's \n",
              "question, although the final answer will depend on the actual price returned by the tool or the handling of the \n",
              "error if the product is not found.  The step is clear and effective.\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">─────────────────────────────────────────────── </span><span style=\"color: #808000; text-decoration-color: #808000\">Judging Trajectory</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m─────────────────────────────────────────────── \u001b[0m\u001b[33mJudging Trajectory\u001b[0m\u001b[92m ────────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ product_id = \"product_en_0065235\"                                                                               │\n",
              "│ price = price_check(product_id=product_id)                                                                      │\n",
              "│ print(price)                                                                                                    │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['price_check']                                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ product_id = \"product_en_0065235\"                                                                               │\n",
              "│ price = price_check(product_id=product_id)                                                                      │\n",
              "│ print(price)                                                                                                    │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['price_check']                                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Step <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> Tools: <span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'price_check'</span><span style=\"font-weight: bold\">]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Step \u001b[1;36m1\u001b[0m Tools: \u001b[1m[\u001b[0m\u001b[32m'price_check'\u001b[0m\u001b[1m]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ product_id = \"product_en_0065235\"                                                                               │\n",
              "│ try:                                                                                                            │\n",
              "│     price = price_check(product_id=product_id)                                                                  │\n",
              "│     print(price)                                                                                                │\n",
              "│ except Exception as e:                                                                                          │\n",
              "│     print(f\"Error checking price: {e}\")                                                                         │\n",
              "│     price = \"Product not found or error occurred\"                                                               │\n",
              "│ final_answer(price)                                                                                             │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['price_check', 'final_answer']                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ product_id = \"product_en_0065235\"                                                                               │\n",
              "│ try:                                                                                                            │\n",
              "│     price = price_check(product_id=product_id)                                                                  │\n",
              "│     print(price)                                                                                                │\n",
              "│ except Exception as e:                                                                                          │\n",
              "│     print(f\"Error checking price: {e}\")                                                                         │\n",
              "│     price = \"Product not found or error occurred\"                                                               │\n",
              "│ final_answer(price)                                                                                             │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['price_check', 'final_answer']                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Step <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span> Tools: <span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'price_check'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'final_answer'</span><span style=\"font-weight: bold\">]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Step \u001b[1;36m2\u001b[0m Tools: \u001b[1m[\u001b[0m\u001b[32m'price_check'\u001b[0m, \u001b[32m'final_answer'\u001b[0m\u001b[1m]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Trajectory Score:</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.40</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mTrajectory Score:\u001b[0m \u001b[1;36m0.40\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Reasoning:</span> The agent attempts to use the correct tool and inputs the correct product ID. Initially, the agent does \n",
              "not account for errors in the tool. The agent then recognizes the error and attempts to fix it. However, the \n",
              "response is a canned response that does not reflect the actual error. The agent should also have checked the price \n",
              "before declaring that it could not find the product or an error had occurred. The agent ultimately returns a canned\n",
              "response, which is a suboptimal response. A slightly better response would have been to simply output the error. \n",
              "The agent should also have attempted to check the price before outputting an error. Thus, I am giving this a \n",
              "slightly below average score.\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mReasoning:\u001b[0m The agent attempts to use the correct tool and inputs the correct product ID. Initially, the agent does \n",
              "not account for errors in the tool. The agent then recognizes the error and attempts to fix it. However, the \n",
              "response is a canned response that does not reflect the actual error. The agent should also have checked the price \n",
              "before declaring that it could not find the product or an error had occurred. The agent ultimately returns a canned\n",
              "response, which is a suboptimal response. A slightly better response would have been to simply output the error. \n",
              "The agent should also have attempted to check the price before outputting an error. Thus, I am giving this a \n",
              "slightly below average score.\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000\">Final response score </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">0.30</span><span style=\"color: #800000; text-decoration-color: #800000\"> below threshold </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">0.7</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[31mFinal response score \u001b[0m\u001b[1;31m0.30\u001b[0m\u001b[31m below threshold \u001b[0m\u001b[1;31m0.7\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────────── </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Processing Prompt </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">4</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">/</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">5</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ──────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m────────────────────────────────────────────── \u001b[0m\u001b[1;31mProcessing Prompt \u001b[0m\u001b[1;31m4\u001b[0m\u001b[1;31m/\u001b[0m\u001b[1;31m5\u001b[0m\u001b[92m ──────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────────────── </span><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Running Agent</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ──────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m────────────────────────────────────────────────── \u001b[0m\u001b[1;34mRunning Agent\u001b[0m\u001b[92m ──────────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #808000; text-decoration-color: #808000\">Prompt:</span> Can you show me my recent orders? My customer ID is reviewer_en_0048495\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[33mPrompt:\u001b[0m Can you show me my recent orders? My customer ID is reviewer_en_0048495\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Can you show me my recent orders? My customer ID is reviewer_en_0048495</span>                                         <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ WeaveVertexAIServerModel - google/gemini-2.0-flash ────────────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mCan you show me my recent orders? My customer ID is reviewer_en_0048495\u001b[0m                                         \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m WeaveVertexAIServerModel - google/gemini-2.0-flash \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
            ]
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        },
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">────────────────────────────────────────────────── <span style=\"font-weight: bold\">Initial plan</span> ───────────────────────────────────────────────────\n",
              "Here is the plan of action that I will follow to solve the task:\n",
              "```\n",
              "1. Use the `customer_order_history` tool to retrieve the order history for the customer with ID \n",
              "\"reviewer_en_0048495\".\n",
              "2. Use the `final_answer` tool to present the retrieved order history to the user.\n",
              "\n",
              "\n",
              "```\n",
              "</pre>\n"
            ],
            "text/plain": [
              "────────────────────────────────────────────────── \u001b[1mInitial plan\u001b[0m ───────────────────────────────────────────────────\n",
              "Here is the plan of action that I will follow to solve the task:\n",
              "```\n",
              "1. Use the `customer_order_history` tool to retrieve the order history for the customer with ID \n",
              "\"reviewer_en_0048495\".\n",
              "2. Use the `final_answer` tool to present the retrieved order history to the user.\n",
              "\n",
              "\n",
              "```\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
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          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">customer_id </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"reviewer_en_0048495\"</span><span style=\"background-color: #272822\">                                                                            </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">order_history </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> customer_order_history(customer_id</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">customer_id)</span><span style=\"background-color: #272822\">                                                </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">final_answer(order_history)</span><span style=\"background-color: #272822\">                                                                                    </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mcustomer_id\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mreviewer_en_0048495\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[48;2;39;40;34m                                                                            \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34morder_history\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcustomer_order_history\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcustomer_id\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcustomer_id\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mfinal_answer\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34morder_history\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                    \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Out - Final answer: {</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  \"customer_id\": \"reviewer_en_0048495\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  \"order_count\": 1,</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  \"recent_orders\": [</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">    {</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"order_id\": \"OD349791\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"date\": \"2024-10-24\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"status\": \"delivered\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"product_id\": \"product_en_0818466\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"delivery_date\": \"2024-10-30\"</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">    }</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  ]</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">}</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;38;2;212;183;2mOut - Final answer: {\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  \"customer_id\": \"reviewer_en_0048495\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  \"order_count\": 1,\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  \"recent_orders\": [\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m    {\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"order_id\": \"OD349791\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"date\": \"2024-10-24\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"status\": \"delivered\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"product_id\": \"product_en_0818466\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"delivery_date\": \"2024-10-30\"\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m    }\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  ]\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m}\u001b[0m\n"
            ]
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 5.17 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 5.17 seconds]\u001b[0m\n"
            ]
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Step 1:</span>                                                                                                         │\n",
              "│ Tool: python_interpreter                                                                                        │\n",
              "│ Args: customer_id = \"reviewer_en_0048495\"                                                                       │\n",
              "│ order_history = customer_order_history(customer_id=customer_id)                                                 │\n",
              "│ final_answer(order_history)                                                                                     │\n",
              "│ Output: {                                                                                                       │\n",
              "│   \"customer_id\": \"reviewer_en_0048495\",                                                                         │\n",
              "│   \"order_count\": 1,                                                                                             │\n",
              "│   \"recent_orders\": [                                                                                            │\n",
              "│     {                                                                                                           │\n",
              "│       \"order_id\": \"OD349791\",                                                                                   │\n",
              "│       \"date\": \"2024-10-24\",                                                                                     │\n",
              "│       \"status\": \"delivered\",                                                                                    │\n",
              "│       \"product_id\": \"product_en_0818466\",                                                                       │\n",
              "│       \"delivery_date\": \"2024-10-30\"                                                                             │\n",
              "│     }                                                                                                           │\n",
              "│   ]                                                                                                             │\n",
              "│ }                                                                                                               │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;32mStep 1:\u001b[0m                                                                                                         │\n",
              "│ Tool: python_interpreter                                                                                        │\n",
              "│ Args: customer_id = \"reviewer_en_0048495\"                                                                       │\n",
              "│ order_history = customer_order_history(customer_id=customer_id)                                                 │\n",
              "│ final_answer(order_history)                                                                                     │\n",
              "│ Output: {                                                                                                       │\n",
              "│   \"customer_id\": \"reviewer_en_0048495\",                                                                         │\n",
              "│   \"order_count\": 1,                                                                                             │\n",
              "│   \"recent_orders\": [                                                                                            │\n",
              "│     {                                                                                                           │\n",
              "│       \"order_id\": \"OD349791\",                                                                                   │\n",
              "│       \"date\": \"2024-10-24\",                                                                                     │\n",
              "│       \"status\": \"delivered\",                                                                                    │\n",
              "│       \"product_id\": \"product_en_0818466\",                                                                       │\n",
              "│       \"delivery_date\": \"2024-10-30\"                                                                             │\n",
              "│     }                                                                                                           │\n",
              "│   ]                                                                                                             │\n",
              "│ }                                                                                                               │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "<span style=\"color: #008000; text-decoration-color: #008000\">Final Response:</span> <span style=\"font-weight: bold\">{</span>\n",
              "  <span style=\"color: #008000; text-decoration-color: #008000\">\"customer_id\"</span>: <span style=\"color: #008000; text-decoration-color: #008000\">\"reviewer_en_0048495\"</span>,\n",
              "  <span style=\"color: #008000; text-decoration-color: #008000\">\"order_count\"</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>,\n",
              "  <span style=\"color: #008000; text-decoration-color: #008000\">\"recent_orders\"</span>: <span style=\"font-weight: bold\">[</span>\n",
              "    <span style=\"font-weight: bold\">{</span>\n",
              "      <span style=\"color: #008000; text-decoration-color: #008000\">\"order_id\"</span>: <span style=\"color: #008000; text-decoration-color: #008000\">\"OD349791\"</span>,\n",
              "      <span style=\"color: #008000; text-decoration-color: #008000\">\"date\"</span>: <span style=\"color: #008000; text-decoration-color: #008000\">\"2024-10-24\"</span>,\n",
              "      <span style=\"color: #008000; text-decoration-color: #008000\">\"status\"</span>: <span style=\"color: #008000; text-decoration-color: #008000\">\"delivered\"</span>,\n",
              "      <span style=\"color: #008000; text-decoration-color: #008000\">\"product_id\"</span>: <span style=\"color: #008000; text-decoration-color: #008000\">\"product_en_0818466\"</span>,\n",
              "      <span style=\"color: #008000; text-decoration-color: #008000\">\"delivery_date\"</span>: <span style=\"color: #008000; text-decoration-color: #008000\">\"2024-10-30\"</span>\n",
              "    <span style=\"font-weight: bold\">}</span>\n",
              "  <span style=\"font-weight: bold\">]</span>\n",
              "<span style=\"font-weight: bold\">}</span>\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\n",
              "\u001b[32mFinal Response:\u001b[0m \u001b[1m{\u001b[0m\n",
              "  \u001b[32m\"customer_id\"\u001b[0m: \u001b[32m\"reviewer_en_0048495\"\u001b[0m,\n",
              "  \u001b[32m\"order_count\"\u001b[0m: \u001b[1;36m1\u001b[0m,\n",
              "  \u001b[32m\"recent_orders\"\u001b[0m: \u001b[1m[\u001b[0m\n",
              "    \u001b[1m{\u001b[0m\n",
              "      \u001b[32m\"order_id\"\u001b[0m: \u001b[32m\"OD349791\"\u001b[0m,\n",
              "      \u001b[32m\"date\"\u001b[0m: \u001b[32m\"2024-10-24\"\u001b[0m,\n",
              "      \u001b[32m\"status\"\u001b[0m: \u001b[32m\"delivered\"\u001b[0m,\n",
              "      \u001b[32m\"product_id\"\u001b[0m: \u001b[32m\"product_en_0818466\"\u001b[0m,\n",
              "      \u001b[32m\"delivery_date\"\u001b[0m: \u001b[32m\"2024-10-30\"\u001b[0m\n",
              "    \u001b[1m}\u001b[0m\n",
              "  \u001b[1m]\u001b[0m\n",
              "\u001b[1m}\u001b[0m\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Collecting Scores</span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">...</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mCollecting Scores\u001b[0m\u001b[1;33m...\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ customer_id = \"reviewer_en_0048495\"                                                                             │\n",
              "│ order_history = customer_order_history(customer_id=customer_id)                                                 │\n",
              "│ final_answer(order_history)                                                                                     │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['customer_order_history', 'final_answer']                                                         │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ customer_id = \"reviewer_en_0048495\"                                                                             │\n",
              "│ order_history = customer_order_history(customer_id=customer_id)                                                 │\n",
              "│ final_answer(order_history)                                                                                     │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['customer_order_history', 'final_answer']                                                         │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">───────────────────────────────────────────── </span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Judging Final Response</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ──────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m───────────────────────────────────────────── \u001b[0m\u001b[1;33mJudging Final Response\u001b[0m\u001b[92m ──────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Final Response Score:</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.00</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mFinal Response Score:\u001b[0m \u001b[1;36m1.00\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Reasoning:</span> Correct answer. Used appropriate tools and communicated the information clearly.\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mReasoning:\u001b[0m Correct answer. Used appropriate tools and communicated the information clearly.\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────────────── </span><span style=\"color: #808000; text-decoration-color: #808000\">Judging Step</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ───────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m────────────────────────────────────────────────── \u001b[0m\u001b[33mJudging Step\u001b[0m\u001b[92m ───────────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ customer_id = \"reviewer_en_0048495\"                                                                             │\n",
              "│ order_history = customer_order_history(customer_id=customer_id)                                                 │\n",
              "│ final_answer(order_history)                                                                                     │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['customer_order_history', 'final_answer']                                                         │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ customer_id = \"reviewer_en_0048495\"                                                                             │\n",
              "│ order_history = customer_order_history(customer_id=customer_id)                                                 │\n",
              "│ final_answer(order_history)                                                                                     │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['customer_order_history', 'final_answer']                                                         │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Tools Used: <span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'customer_order_history'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'final_answer'</span><span style=\"font-weight: bold\">]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Tools Used: \u001b[1m[\u001b[0m\u001b[32m'customer_order_history'\u001b[0m, \u001b[32m'final_answer'\u001b[0m\u001b[1m]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Score:</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.00</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mScore:\u001b[0m \u001b[1;36m1.00\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Reasoning:</span> The agent correctly interprets the user's request and extracts the customer ID. It then attempts to \n",
              "retrieve the order history using the `customer_order_history` tool and provides the result using `final_answer`, \n",
              "which is a reasonable approach.  This demonstrates good understanding of the prompt and appropriate tool use. \n",
              "Awarding a score of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>.\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mReasoning:\u001b[0m The agent correctly interprets the user's request and extracts the customer ID. It then attempts to \n",
              "retrieve the order history using the `customer_order_history` tool and provides the result using `final_answer`, \n",
              "which is a reasonable approach.  This demonstrates good understanding of the prompt and appropriate tool use. \n",
              "Awarding a score of \u001b[1;36m1\u001b[0m.\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">─────────────────────────────────────────────── </span><span style=\"color: #808000; text-decoration-color: #808000\">Judging Trajectory</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m─────────────────────────────────────────────── \u001b[0m\u001b[33mJudging Trajectory\u001b[0m\u001b[92m ────────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ customer_id = \"reviewer_en_0048495\"                                                                             │\n",
              "│ order_history = customer_order_history(customer_id=customer_id)                                                 │\n",
              "│ final_answer(order_history)                                                                                     │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['customer_order_history', 'final_answer']                                                         │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ customer_id = \"reviewer_en_0048495\"                                                                             │\n",
              "│ order_history = customer_order_history(customer_id=customer_id)                                                 │\n",
              "│ final_answer(order_history)                                                                                     │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['customer_order_history', 'final_answer']                                                         │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Step <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> Tools: <span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'customer_order_history'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'final_answer'</span><span style=\"font-weight: bold\">]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Step \u001b[1;36m1\u001b[0m Tools: \u001b[1m[\u001b[0m\u001b[32m'customer_order_history'\u001b[0m, \u001b[32m'final_answer'\u001b[0m\u001b[1m]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Trajectory Score:</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.00</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mTrajectory Score:\u001b[0m \u001b[1;36m1.00\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Reasoning:</span> The agent correctly used the available tools and achieved the desired outcome. The agent correctly \n",
              "extracted the customer ID, used the tool to retrieve order history and displayed the result.\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mReasoning:\u001b[0m The agent correctly used the available tools and achieved the desired outcome. The agent correctly \n",
              "extracted the customer ID, used the tool to retrieve order history and displayed the result.\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">                                                 Evaluation Scores                                                 </span>\n",
              "┏━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
              "┃<span style=\"font-weight: bold\"> Metric         </span>┃<span style=\"font-weight: bold\"> Score </span>┃<span style=\"font-weight: bold\"> Reasoning                                                                              </span>┃\n",
              "┡━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Final Response </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 1.00  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> Correct answer. Used appropriate tools and communicated the information clearly.       </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Trajectory     </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 1.00  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> The agent correctly used the available tools and achieved the desired outcome. The     </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">       </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> agent correctly extracted the customer ID, used the tool to retrieve order history and </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">       </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> displayed the result.                                                                  </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Step Scores    </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 1.00  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> The agent correctly interprets the user's request and extracts the customer ID. It     </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">       </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> then attempts to retrieve the order history using the `customer_order_history` tool    </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">       </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> and provides the result using `final_answer`, which is a reasonable approach.  This    </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">       </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> demonstrates good understanding of the prompt and appropriate tool use. Awarding a     </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\">                </span>│<span style=\"color: #800080; text-decoration-color: #800080\">       </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> score of 1.                                                                            </span>│\n",
              "└────────────────┴───────┴────────────────────────────────────────────────────────────────────────────────────────┘\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[3m                                                 Evaluation Scores                                                 \u001b[0m\n",
              "┏━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
              "┃\u001b[1m \u001b[0m\u001b[1mMetric        \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mScore\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mReasoning                                                                             \u001b[0m\u001b[1m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
              "│\u001b[36m \u001b[0m\u001b[36mFinal Response\u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m1.00 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[33mCorrect answer. Used appropriate tools and communicated the information clearly.      \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mTrajectory    \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m1.00 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[33mThe agent correctly used the available tools and achieved the desired outcome. The    \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m       \u001b[0m│\u001b[33m \u001b[0m\u001b[33magent correctly extracted the customer ID, used the tool to retrieve order history and\u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m       \u001b[0m│\u001b[33m \u001b[0m\u001b[33mdisplayed the result.                                                                 \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mStep Scores   \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m1.00 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[33mThe agent correctly interprets the user's request and extracts the customer ID. It    \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m       \u001b[0m│\u001b[33m \u001b[0m\u001b[33mthen attempts to retrieve the order history using the `customer_order_history` tool   \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m       \u001b[0m│\u001b[33m \u001b[0m\u001b[33mand provides the result using `final_answer`, which is a reasonable approach.  This   \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m       \u001b[0m│\u001b[33m \u001b[0m\u001b[33mdemonstrates good understanding of the prompt and appropriate tool use. Awarding a    \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m                \u001b[0m│\u001b[35m       \u001b[0m│\u001b[33m \u001b[0m\u001b[33mscore of 1.                                                                           \u001b[0m\u001b[33m \u001b[0m│\n",
              "└────────────────┴───────┴────────────────────────────────────────────────────────────────────────────────────────┘\n"
            ]
          },
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        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Code Analysis</span>                                                                                                   │\n",
              "│ <span style=\"color: #808000; text-decoration-color: #808000\">Code:</span>                                                                                                           │\n",
              "│ customer_id = \"reviewer_en_0048495\"                                                                             │\n",
              "│ order_history = customer_order_history(customer_id=customer_id)                                                 │\n",
              "│ final_answer(order_history)                                                                                     │\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000\">Tools Found:</span> ['customer_order_history', 'final_answer']                                                         │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mCode Analysis\u001b[0m                                                                                                   │\n",
              "│ \u001b[33mCode:\u001b[0m                                                                                                           │\n",
              "│ customer_id = \"reviewer_en_0048495\"                                                                             │\n",
              "│ order_history = customer_order_history(customer_id=customer_id)                                                 │\n",
              "│ final_answer(order_history)                                                                                     │\n",
              "│ \u001b[32mTools Found:\u001b[0m ['customer_order_history', 'final_answer']                                                         │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Run Summary</span>                                                                                                     │\n",
              "│ Steps: 1                                                                                                        │\n",
              "│ Tools Used: ['customer_order_history', 'final_answer']                                                          │\n",
              "│ Planning: Enabled                                                                                               │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;34mRun Summary\u001b[0m                                                                                                     │\n",
              "│ Steps: 1                                                                                                        │\n",
              "│ Tools Used: ['customer_order_history', 'final_answer']                                                          │\n",
              "│ Planning: Enabled                                                                                               │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────────── </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Processing Prompt </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">5</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">/</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">5</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ──────────────────────────────────────────────</span>\n",
              "</pre>\n"
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            "text/plain": [
              "\u001b[92m────────────────────────────────────────────── \u001b[0m\u001b[1;31mProcessing Prompt \u001b[0m\u001b[1;31m5\u001b[0m\u001b[1;31m/\u001b[0m\u001b[1;31m5\u001b[0m\u001b[92m ──────────────────────────────────────────────\u001b[0m\n"
            ]
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────────────── </span><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Running Agent</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ──────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m────────────────────────────────────────────────── \u001b[0m\u001b[1;34mRunning Agent\u001b[0m\u001b[92m ──────────────────────────────────────────────────\u001b[0m\n"
            ]
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #808000; text-decoration-color: #808000\">Prompt:</span> I'm looking for pc products and also want to check my order OD471296\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[33mPrompt:\u001b[0m I'm looking for pc products and also want to check my order OD471296\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">I'm looking for pc products and also want to check my order OD471296</span>                                            <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ WeaveVertexAIServerModel - google/gemini-2.0-flash ────────────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mI'm looking for pc products and also want to check my order OD471296\u001b[0m                                            \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m WeaveVertexAIServerModel - google/gemini-2.0-flash \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
            ]
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">────────────────────────────────────────────────── <span style=\"font-weight: bold\">Initial plan</span> ───────────────────────────────────────────────────\n",
              "Here is the plan of action that I will follow to solve the task:\n",
              "```\n",
              "1. Clarify the type of PC products the user is looking for.\n",
              "2. Clarify the vendor/company/website where the order OD471296 was placed.\n",
              "3. Clarify what information the user needs about the order OD471296.\n",
              "4. Search for the specified PC products using the product_search tool.\n",
              "5. Check the status of order OD471296 using the order_status tool.\n",
              "6. Formulate a final answer containing the search results for PC products and the order status.\n",
              "\\n\n",
              "```\n",
              "</pre>\n"
            ],
            "text/plain": [
              "────────────────────────────────────────────────── \u001b[1mInitial plan\u001b[0m ───────────────────────────────────────────────────\n",
              "Here is the plan of action that I will follow to solve the task:\n",
              "```\n",
              "1. Clarify the type of PC products the user is looking for.\n",
              "2. Clarify the vendor/company/website where the order OD471296 was placed.\n",
              "3. Clarify what information the user needs about the order OD471296.\n",
              "4. Search for the specified PC products using the product_search tool.\n",
              "5. Check the status of order OD471296 using the order_status tool.\n",
              "6. Formulate a final answer containing the search results for PC products and the order status.\n",
              "\\n\n",
              "```\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
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          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"What kind of PC products are you looking for (e.g., laptops, desktops, components)?\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                   </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"With which vendor/company/website was order OD471296 placed?\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                          </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"What information do you need about the order OD471296 (e.g., status, tracking, items)?\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mWhat kind of PC products are you looking for (e.g., laptops, desktops, components)?\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                   \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mWith which vendor/company/website was order OD471296 placed?\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                          \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mWhat information do you need about the order OD471296 (e.g., status, tracking, items)?\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "What kind of PC products are you looking for (e.g., laptops, desktops, components)?\n",
              "With which vendor/company/website was order OD471296 placed?\n",
              "What information do you need about the order OD471296 (e.g., status, tracking, items)?\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "What kind of PC products are you looking for (e.g., laptops, desktops, components)?\n",
              "With which vendor/company/website was order OD471296 placed?\n",
              "What information do you need about the order OD471296 (e.g., status, tracking, items)?\n",
              "\n",
              "Out: None\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 5.29 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 5.29 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in code parsing:</span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Your code snippet is invalid, because the regex pattern ```(?:py|python)?\\</span><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">n</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">(.*?)\\n``` was not found in it.</span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Here is your code snippet:</span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Thought:The user needs to provide more information before I can proceed. I will wait for the user to provide the </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">information and then continue with the plan.</span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">```json</span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">{</span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">  </span><span style=\"color: #008000; text-decoration-color: #008000\">\"pc_product_type\"</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">: </span><span style=\"color: #008000; text-decoration-color: #008000\">\"unknown\"</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">,</span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">  </span><span style=\"color: #008000; text-decoration-color: #008000\">\"order_vendor\"</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">: </span><span style=\"color: #008000; text-decoration-color: #008000\">\"unknown\"</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">,</span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">  </span><span style=\"color: #008000; text-decoration-color: #008000\">\"order_information_needed\"</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">: </span><span style=\"color: #008000; text-decoration-color: #008000\">\"unknown\"</span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">}</span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">```</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Make sure to include code with the correct pattern, for instance:</span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Thoughts: Your thoughts</span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Code:</span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">```py</span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"># Your python code here</span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">```&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">end_code</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">&gt;</span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Make sure to provide correct code blobs.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in code parsing:\u001b[0m\n",
              "\u001b[1;31mYour code snippet is invalid, because the regex pattern ```\u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31m?:py|python\u001b[0m\u001b[1;31m)\u001b[0m\u001b[1;31m?\\\u001b[0m\u001b[1;35mn\u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31m.*?\u001b[0m\u001b[1;31m)\u001b[0m\u001b[1;31m\\n``` was not found in it.\u001b[0m\n",
              "\u001b[1;31mHere is your code snippet:\u001b[0m\n",
              "\u001b[1;31mThought:The user needs to provide more information before I can proceed. I will wait for the user to provide the \u001b[0m\n",
              "\u001b[1;31minformation and then continue with the plan.\u001b[0m\n",
              "\u001b[1;31m```json\u001b[0m\n",
              "\u001b[1;31m{\u001b[0m\n",
              "\u001b[1;31m  \u001b[0m\u001b[32m\"pc_product_type\"\u001b[0m\u001b[1;31m: \u001b[0m\u001b[32m\"unknown\"\u001b[0m\u001b[1;31m,\u001b[0m\n",
              "\u001b[1;31m  \u001b[0m\u001b[32m\"order_vendor\"\u001b[0m\u001b[1;31m: \u001b[0m\u001b[32m\"unknown\"\u001b[0m\u001b[1;31m,\u001b[0m\n",
              "\u001b[1;31m  \u001b[0m\u001b[32m\"order_information_needed\"\u001b[0m\u001b[1;31m: \u001b[0m\u001b[32m\"unknown\"\u001b[0m\n",
              "\u001b[1;31m}\u001b[0m\n",
              "\u001b[1;31m```\u001b[0m\n",
              "\n",
              "\u001b[1;31mMake sure to include code with the correct pattern, for instance:\u001b[0m\n",
              "\u001b[1;31mThoughts: Your thoughts\u001b[0m\n",
              "\u001b[1;31mCode:\u001b[0m\n",
              "\u001b[1;31m```py\u001b[0m\n",
              "\u001b[1;31m# Your python code here\u001b[0m\n",
              "\u001b[1;31m```\u001b[0m\u001b[1;31m<\u001b[0m\u001b[1;95mend_code\u001b[0m\u001b[1;31m>\u001b[0m\n",
              "\u001b[1;31mMake sure to provide correct code blobs.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 2: Duration 1.06 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 2: Duration 1.06 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">────────────────────────────────────────────────── <span style=\"font-weight: bold\">Updated plan</span> ───────────────────────────────────────────────────\n",
              "I still need to solve the task I was given:\n",
              "```\n",
              "I'm looking for pc products and also want to check my order OD471296\n",
              "```\n",
              "\n",
              "Here is my new/updated plan of action to solve the task:\n",
              "```\n",
              "1. Wait for the user to provide the type of PC products they are looking for.\n",
              "2. Wait for the user to provide the vendor/company/website where the order OD471296 was placed.\n",
              "3. Wait for the user to provide what information they need about the order OD471296.\n",
              "4. Once the user provides the type of PC product, search for the specified PC products using the product_search \n",
              "tool.\n",
              "5. Once the user provides the vendor, check the status of order OD471296 using the order_status tool.\n",
              "6. Formulate a final answer containing the search results for PC products and the order status.\n",
              "\\n\n",
              "```\n",
              "</pre>\n"
            ],
            "text/plain": [
              "────────────────────────────────────────────────── \u001b[1mUpdated plan\u001b[0m ───────────────────────────────────────────────────\n",
              "I still need to solve the task I was given:\n",
              "```\n",
              "I'm looking for pc products and also want to check my order OD471296\n",
              "```\n",
              "\n",
              "Here is my new/updated plan of action to solve the task:\n",
              "```\n",
              "1. Wait for the user to provide the type of PC products they are looking for.\n",
              "2. Wait for the user to provide the vendor/company/website where the order OD471296 was placed.\n",
              "3. Wait for the user to provide what information they need about the order OD471296.\n",
              "4. Once the user provides the type of PC product, search for the specified PC products using the product_search \n",
              "tool.\n",
              "5. Once the user provides the vendor, check the status of order OD471296 using the order_status tool.\n",
              "6. Formulate a final answer containing the search results for PC products and the order status.\n",
              "\\n\n",
              "```\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m3\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"Waiting for user to provide the type of PC products, the vendor of the order, and the information needed</span>  \n",
              "  <span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">about the order.\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                                                             </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mWaiting for user to provide the type of PC products, the vendor of the order, and the information needed\u001b[0m  \n",
              "  \u001b[38;2;230;219;116;48;2;39;40;34mabout the order.\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                             \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "Waiting for user to provide the type of PC products, the vendor of the order, and the information needed about the \n",
              "order.\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "Waiting for user to provide the type of PC products, the vendor of the order, and the information needed about the \n",
              "order.\n",
              "\n",
              "Out: None\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 3: Duration 4.31 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 3: Duration 4.31 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m4\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"Still waiting for user input: Please provide the type of PC products you are looking for, the vendor of </span>  \n",
              "  <span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">order OD471296, and the information you need about the order.\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mStill waiting for user input: Please provide the type of PC products you are looking for, the vendor of \u001b[0m  \n",
              "  \u001b[38;2;230;219;116;48;2;39;40;34morder OD471296, and the information you need about the order.\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "Still waiting for user input: Please provide the type of PC products you are looking for, the vendor of order \n",
              "OD471296, and the information you need about the order.\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "Still waiting for user input: Please provide the type of PC products you are looking for, the vendor of order \n",
              "OD471296, and the information you need about the order.\n",
              "\n",
              "Out: None\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 4: Duration 0.76 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 4: Duration 0.76 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Reached max steps.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mReached max steps.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 5: Duration 2.05 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 5: Duration 2.05 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Step 1:</span>                                                                                                         │\n",
              "│ Tool: python_interpreter                                                                                        │\n",
              "│ Args: print(\"What kind of PC products are you looking for (e.g., laptops, desktops, components)?\")              │\n",
              "│ print(\"With which vendor/company/website was order OD471296 placed?\")                                           │\n",
              "│ print(\"What information do you need about the order OD471296 (e.g., status, tracking, items)?\")                 │\n",
              "│ Output: None                                                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;32mStep 1:\u001b[0m                                                                                                         │\n",
              "│ Tool: python_interpreter                                                                                        │\n",
              "│ Args: print(\"What kind of PC products are you looking for (e.g., laptops, desktops, components)?\")              │\n",
              "│ print(\"With which vendor/company/website was order OD471296 placed?\")                                           │\n",
              "│ print(\"What information do you need about the order OD471296 (e.g., status, tracking, items)?\")                 │\n",
              "│ Output: None                                                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Step 2:</span>                                                                                                         │\n",
              "│ Tool: python_interpreter                                                                                        │\n",
              "│ Args: print(\"Waiting for user to provide the type of PC products, the vendor of the order, and the information  │\n",
              "│ needed about the order.\")                                                                                       │\n",
              "│ Output: None                                                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;32mStep 2:\u001b[0m                                                                                                         │\n",
              "│ Tool: python_interpreter                                                                                        │\n",
              "│ Args: print(\"Waiting for user to provide the type of PC products, the vendor of the order, and the information  │\n",
              "│ needed about the order.\")                                                                                       │\n",
              "│ Output: None                                                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ <span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Step 3:</span>                                                                                                         │\n",
              "│ Tool: python_interpreter                                                                                        │\n",
              "│ Args: print(\"Still waiting for user input: Please provide the type of PC products you are looking for, the      │\n",
              "│ vendor of order OD471296, and the information you need about the order.\")                                       │\n",
              "│ Output: None                                                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
              "</pre>\n"
            ],
            "text/plain": [
              "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
              "│ \u001b[1;32mStep 3:\u001b[0m                                                                                                         │\n",
              "│ Tool: python_interpreter                                                                                        │\n",
              "│ Args: print(\"Still waiting for user input: Please provide the type of PC products you are looking for, the      │\n",
              "│ vendor of order OD471296, and the information you need about the order.\")                                       │\n",
              "│ Output: None                                                                                                    │\n",
              "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "<span style=\"color: #008000; text-decoration-color: #008000\">Final Response:</span> I understand you're looking for PC products and want to check the status of order OD471296. To \n",
              "assist you effectively, I need a bit more information:\n",
              "\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>.  **What specific PC products are you interested in?** <span style=\"font-weight: bold\">(</span>e.g., laptops, desktops, components like RAM or graphics \n",
              "cards, peripherals like keyboards or mice<span style=\"font-weight: bold\">)</span>.\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>.  **With which company or website did you place order OD471296?** <span style=\"font-weight: bold\">(</span>e.g., Amazon, Best Buy, directly from a \n",
              "manufacturer's website<span style=\"font-weight: bold\">)</span>.\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>.  **What information are you looking for regarding order OD471296?** <span style=\"font-weight: bold\">(</span>e.g., current status, tracking information,\n",
              "a list of items in the order<span style=\"font-weight: bold\">)</span>.\n",
              "\n",
              "Once I have this information, I can help you find the PC products you're looking for and check the status of your \n",
              "order.\n",
              "\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\n",
              "\u001b[32mFinal Response:\u001b[0m I understand you're looking for PC products and want to check the status of order OD471296. To \n",
              "assist you effectively, I need a bit more information:\n",
              "\n",
              "\u001b[1;36m1\u001b[0m.  **What specific PC products are you interested in?** \u001b[1m(\u001b[0me.g., laptops, desktops, components like RAM or graphics \n",
              "cards, peripherals like keyboards or mice\u001b[1m)\u001b[0m.\n",
              "\u001b[1;36m2\u001b[0m.  **With which company or website did you place order OD471296?** \u001b[1m(\u001b[0me.g., Amazon, Best Buy, directly from a \n",
              "manufacturer's website\u001b[1m)\u001b[0m.\n",
              "\u001b[1;36m3\u001b[0m.  **What information are you looking for regarding order OD471296?** \u001b[1m(\u001b[0me.g., current status, tracking information,\n",
              "a list of items in the order\u001b[1m)\u001b[0m.\n",
              "\n",
              "Once I have this information, I can help you find the PC products you're looking for and check the status of your \n",
              "order.\n",
              "\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Collecting Scores</span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">...</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mCollecting Scores\u001b[0m\u001b[1;33m...\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">───────────────────────────────────────────── </span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Judging Final Response</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ──────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m───────────────────────────────────────────── \u001b[0m\u001b[1;33mJudging Final Response\u001b[0m\u001b[92m ──────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Final Response Score:</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.80</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mFinal Response Score:\u001b[0m \u001b[1;36m0.80\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Reasoning:</span> The agent acknowledges the user's request and appropriately asks clarifying questions to understand the \n",
              "user's needs better. Since the agent didn't use any tools, it is unable to directly fulfill the request. The \n",
              "response is well-structured and communicates clearly. Therefore, I'm giving it a high score.\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mReasoning:\u001b[0m The agent acknowledges the user's request and appropriately asks clarifying questions to understand the \n",
              "user's needs better. Since the agent didn't use any tools, it is unable to directly fulfill the request. The \n",
              "response is well-structured and communicates clearly. Therefore, I'm giving it a high score.\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────────────── </span><span style=\"color: #808000; text-decoration-color: #808000\">Judging Step</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ───────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m────────────────────────────────────────────────── \u001b[0m\u001b[33mJudging Step\u001b[0m\u001b[92m ───────────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Tools Used: <span style=\"font-weight: bold\">[]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Tools Used: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Score:</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.00</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mScore:\u001b[0m \u001b[1;36m1.00\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Reasoning:</span> The agent demonstrates excellent reasoning and decision-making by recognizing the need for additional \n",
              "information before proceeding. The code effectively gathers the necessary details to clarify the user's request \n",
              "regarding both PC products and order OD471296.  The questions are clear, concise, and directly relevant to the \n",
              "user's prompt. This step significantly contributes to solving the original prompt by laying the groundwork for a \n",
              "more targeted and helpful response.\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mReasoning:\u001b[0m The agent demonstrates excellent reasoning and decision-making by recognizing the need for additional \n",
              "information before proceeding. The code effectively gathers the necessary details to clarify the user's request \n",
              "regarding both PC products and order OD471296.  The questions are clear, concise, and directly relevant to the \n",
              "user's prompt. This step significantly contributes to solving the original prompt by laying the groundwork for a \n",
              "more targeted and helpful response.\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────────────── </span><span style=\"color: #808000; text-decoration-color: #808000\">Judging Step</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ───────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m────────────────────────────────────────────────── \u001b[0m\u001b[33mJudging Step\u001b[0m\u001b[92m ───────────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Tools Used: <span style=\"font-weight: bold\">[]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Tools Used: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Score:</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.80</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mScore:\u001b[0m \u001b[1;36m0.80\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Reasoning:</span> The agent recognized the two distinct requests from the user <span style=\"font-weight: bold\">(</span>searching for PC products and checking an \n",
              "order<span style=\"font-weight: bold\">)</span>. It made the reasonable decision to request further information from the user before proceeding.  It also \n",
              "printed a holding message to the user letting them know it is waiting for further input which is best practice. \n",
              "Because of this good decision-making, appropriate use of a holding message, and good progress toward solving the \n",
              "original prompt, the agent receives a high score.\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mReasoning:\u001b[0m The agent recognized the two distinct requests from the user \u001b[1m(\u001b[0msearching for PC products and checking an \n",
              "order\u001b[1m)\u001b[0m. It made the reasonable decision to request further information from the user before proceeding.  It also \n",
              "printed a holding message to the user letting them know it is waiting for further input which is best practice. \n",
              "Because of this good decision-making, appropriate use of a holding message, and good progress toward solving the \n",
              "original prompt, the agent receives a high score.\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────────────── </span><span style=\"color: #808000; text-decoration-color: #808000\">Judging Step</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ───────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m────────────────────────────────────────────────── \u001b[0m\u001b[33mJudging Step\u001b[0m\u001b[92m ───────────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Tools Used: <span style=\"font-weight: bold\">[]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Tools Used: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Score:</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.00</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mScore:\u001b[0m \u001b[1;36m1.00\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Reasoning:</span> The agent correctly identifies that it needs more information from the user to proceed. The response is \n",
              "reasonable, asking for the type of PC products, the vendor of the order, and the information needed about the \n",
              "order.  This shows a good understanding of the user's prompt, which has two distinct parts <span style=\"font-weight: bold\">(</span>searching for PC \n",
              "products and checking an order<span style=\"font-weight: bold\">)</span>. The code is simple and appropriate for the situation, clearly communicating the \n",
              "need for more input.\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mReasoning:\u001b[0m The agent correctly identifies that it needs more information from the user to proceed. The response is \n",
              "reasonable, asking for the type of PC products, the vendor of the order, and the information needed about the \n",
              "order.  This shows a good understanding of the user's prompt, which has two distinct parts \u001b[1m(\u001b[0msearching for PC \n",
              "products and checking an order\u001b[1m)\u001b[0m. The code is simple and appropriate for the situation, clearly communicating the \n",
              "need for more input.\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">─────────────────────────────────────────────── </span><span style=\"color: #808000; text-decoration-color: #808000\">Judging Trajectory</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m─────────────────────────────────────────────── \u001b[0m\u001b[33mJudging Trajectory\u001b[0m\u001b[92m ────────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Trajectory Score:</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.20</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mTrajectory Score:\u001b[0m \u001b[1;36m0.20\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Reasoning:</span> The agent is stuck in a loop, repeatedly asking the user for the same information without taking any \n",
              "action.  It does identify the two distinct needs in the prompt <span style=\"font-weight: bold\">(</span>looking for PC products and checking an order<span style=\"font-weight: bold\">)</span>. It \n",
              "appropriately decides to ask clarifying questions. However, it fails to proceed, making no progress towards a \n",
              "solution. The tool usage is not inherently wrong but is ineffective due to the agent's inability to move forward.  \n",
              "It does not learn from the lack of user input, continuing to wait instead of trying alternative strategies or \n",
              "offering general help with PC products.\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;36mReasoning:\u001b[0m The agent is stuck in a loop, repeatedly asking the user for the same information without taking any \n",
              "action.  It does identify the two distinct needs in the prompt \u001b[1m(\u001b[0mlooking for PC products and checking an order\u001b[1m)\u001b[0m. It \n",
              "appropriately decides to ask clarifying questions. However, it fails to proceed, making no progress towards a \n",
              "solution. The tool usage is not inherently wrong but is ineffective due to the agent's inability to move forward.  \n",
              "It does not learn from the lack of user input, continuing to wait instead of trying alternative strategies or \n",
              "offering general help with PC products.\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000\">Trajectory score </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">0.20</span><span style=\"color: #800000; text-decoration-color: #800000\"> below threshold </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">0.7</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[31mTrajectory score \u001b[0m\u001b[1;31m0.20\u001b[0m\u001b[31m below threshold \u001b[0m\u001b[1;31m0.7\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "📦 Published to https://wandb.ai/a-sh0ts/agent_evaluation_demo-dry-run/weave/objects/customer_support_eval/versions/iwSQQDLU0pDNa0lfRykphIQOOPxKQlTHLlO6YaEmj7E\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Dataset published to Weave:</span> \n",
              "weave:<span style=\"color: #800080; text-decoration-color: #800080\">///a-sh0ts/agent_evaluation_demo-dry-run/object/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">customer_support_eval</span>:iwSQQDLU0pDNa0lfRykphIQOOPxKQlTHLlO6YaE\n",
              "mj7E\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;32mDataset published to Weave:\u001b[0m \n",
              "weave:\u001b[35m/\u001b[0m\u001b[35m/\u001b[0m\u001b[35m/a-sh0ts/agent_evaluation_demo-dry-run/object/\u001b[0m\u001b[95mcustomer_support_eval\u001b[0m:iwSQQDLU0pDNa0lfRykphIQOOPxKQlTHLlO6YaE\n",
              "mj7E\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000\">✓</span> Dataset generation complete! Saved to customer_support_eval.json\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[32m✓\u001b[0m Dataset generation complete! Saved to customer_support_eval.json\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Initialize dataset generator\n",
        "thresholds = {\"final_response\": 0.7, \"single_step\": 0.7, \"trajectory\": 0.7}\n",
        "generator = DatasetGenerator(agent=base_agent, thresholds=thresholds, debug=True)\n",
        "\n",
        "# Generate comprehensive dataset with different scenarios\n",
        "console.print(\n",
        "    \"[bold blue]Generating customer support evaluation dataset...[/bold blue]\"\n",
        ")\n",
        "\n",
        "dataset = create_customer_support_agent_evaluation_dataset(\n",
        "    generator, base_agent, num_prompts=5\n",
        ")  # Adjust number as needed\n",
        "\n",
        "# Save generated dataset\n",
        "dataset_path = \"customer_support_eval.json\"\n",
        "generator.save_dataset(dataset, dataset_path)\n",
        "\n",
        "console.print(f\"[green]✓[/green] Dataset generation complete! Saved to {dataset_path}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f9364b84d1fc"
      },
      "source": [
        "# Agent Evaluation Framework\n",
        "\n",
        "This section explains how we evaluate different model configurations using a comprehensive evaluation framework to identify the best-performing agent setup.\n",
        "\n",
        "## Setting Up the Evaluation Pipeline\n",
        "\n",
        "The evaluation process begins with initializing our evaluation framework defined in `evaluator.py`.\n",
        "The below code loads our previously generated synthetic dataset and formats it for evaluation with Vertex AI.\n",
        "\n",
        "## How the Evaluation Process Works\n",
        "\n",
        "The `AgentEvaluator` class provides a systematic approach to testing agent performance across multiple dimensions:\n",
        "\n",
        "1. **Multi-dimensional Metrics**: We evaluate the agent on several key aspects:\n",
        "   - **Tool Selection Accuracy**: How well the agent chooses appropriate tools\n",
        "   - **Reasoning Quality**: The logical coherence of the agent's thinking process\n",
        "   - **Response Correctness**: Accuracy and completeness of final answers\n",
        "   - **Trajectory Match**: How well the agent's path aligns with expected solutions\n",
        "   - **Coherence**: Overall clarity and consistency of responses\n",
        "\n",
        "2. **Vertex AI Integration**: The evaluator uses Vertex AI's evaluation capabilities to score agent responses objectively, reducing human bias in the assessment process.\n",
        "\n",
        "3. **Weights & Biases Weave Integration**: Results are automatically logged to Weave, enabling:\n",
        "   - Interactive visualization of agent performance\n",
        "   - Comparison between different model configurations\n",
        "   - Tracking of experiments over time\n",
        "   - Sharing results with team members\n",
        "\n",
        "4. **Visualization Tools**: The framework generates charts and tables to help identify patterns:\n",
        "   - Score distribution plots showing performance across metrics\n",
        "   - Difficulty heatmaps revealing how the agent handles easy vs. hard queries\n",
        "   - Correlation analysis between trajectory quality and response accuracy\n",
        "\n",
        "## Practical Applications\n",
        "\n",
        "This evaluation framework helps us answer key questions:\n",
        "\n",
        "1. **Which model performs best?** Compare Gemini Pro vs. Flash models on the same test cases.\n",
        "\n",
        "2. **What temperature setting works better?** Test whether low temperature (0.2) or high temperature (0.7) produces better results.\n",
        "\n",
        "3. **Where are the weaknesses?** Identify specific query types or metrics where the agent underperforms.\n",
        "\n",
        "4. **Is planning helpful?** Measure whether enabling planning capabilities improves overall performance.\n",
        "\n",
        "By running all model configurations through this standardized evaluation process, we can make data-driven decisions about which agent setup to deploy for customer support scenarios, balancing performance and efficiency.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "3c4f47c7605d"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Initializing evaluator...</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;34mInitializing evaluator\u001b[0m\u001b[1;34m...\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000\">✓</span> Evaluator initialized\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[32m✓\u001b[0m Evaluator initialized\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Formatting dataset with </span><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">3</span><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\"> examples for evaluation...</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;34mFormatting dataset with \u001b[0m\u001b[1;34m3\u001b[0m\u001b[1;34m examples for evaluation\u001b[0m\u001b[1;34m...\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000\">✓</span> Dataset formatted successfully\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[32m✓\u001b[0m Dataset formatted successfully\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Initialize evaluator\n",
        "console.print(\"[bold blue]Initializing evaluator...[/bold blue]\")\n",
        "evaluator = AgentEvaluator(\n",
        "    verbosity=1,\n",
        "    project=os.getenv(\"VERTEX_PROJECT_ID\"),\n",
        "    location=os.getenv(\"VERTEX_LOCATION\"),\n",
        ")\n",
        "console.print(f\"[green]✓[/green] Evaluator initialized\")\n",
        "\n",
        "all_examples = load_dataset(\"customer_support_eval.json\")\n",
        "console.print(\n",
        "    f\"[bold blue]Formatting dataset with {len(all_examples)} examples for evaluation...[/bold blue]\"\n",
        ")\n",
        "eval_dataset = evaluator.format_dataset_for_eval(all_examples)\n",
        "console.print(f\"[green]✓[/green] Dataset formatted successfully\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "92fa9a8d46e4"
      },
      "source": [
        "# Running Model Evaluations\n",
        "\n",
        "This section shows how we test different model configurations against our evaluation dataset to find the best setup for customer support.\n",
        "\n",
        "## Testing Multiple Configurations\n",
        "\n",
        "We evaluate four different configurations:\n",
        "- Gemini Pro with low temperature (0.2)\n",
        "- Gemini Pro with high temperature (0.7)\n",
        "- Gemini Flash Lite with low temperature (0.2)\n",
        "- Gemini Flash Lite with high temperature (0.7)\n",
        "\n",
        "Each configuration is tested on the same set of customer queries, ensuring a fair comparison."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "id": "68bf47713984"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "<span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Evaluating Gemini Pro (Low Temp)...</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\n",
              "\u001b[1;34mEvaluating Gemini Pro \u001b[0m\u001b[1;34m(\u001b[0m\u001b[1;34mLow Temp\u001b[0m\u001b[1;34m)\u001b[0m\u001b[1;34m...\u001b[0m\n"
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          "output_type": "display_data"
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        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">─────────────────────────────────────── </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Running Agent on Evaluation Dataset</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ───────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m─────────────────────────────────────── \u001b[0m\u001b[1;36mRunning Agent on Evaluation Dataset\u001b[0m\u001b[92m ───────────────────────────────────────\u001b[0m\n"
            ]
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          "metadata": {},
          "output_type": "display_data"
        },
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Example <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>\n",
              "</pre>\n"
            ],
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              "Example \u001b[1;36m1\u001b[0m/\u001b[1;36m3\u001b[0m\n"
            ]
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Prompt: I'm looking for products in the shoes category. What do you have?\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Prompt: I'm looking for products in the shoes category. What do you have?\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">I'm looking for products in the shoes category. What do you have?</span>                                               <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ WeaveVertexAIServerModel - google/gemini-1.5-pro ──────────────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mI'm looking for products in the shoes category. What do you have?\u001b[0m                                               \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m WeaveVertexAIServerModel - google/gemini-1.5-pro \u001b[0m\u001b[38;2;212;183;2m─────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">available_shoes </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> category_browse(category</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"shoes\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                            </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(available_shoes)</span><span style=\"background-color: #272822\">                                                                                         </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mavailable_shoes\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcategory_browse\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcategory\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mshoes\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                            \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mavailable_shoes\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                         \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "{\n",
              "  \"category\": \"shoes\",\n",
              "  \"product_count\": 1,\n",
              "  \"price_range\": \"$54.11 - $54.11\",\n",
              "  \"top_products\": [\n",
              "    {\n",
              "      \"product_id\": \"product_en_0090440\",\n",
              "      \"name\": \"Shoes Item 0440\",\n",
              "      \"price\": \"$54.11\",\n",
              "      \"stock\": 73\n",
              "    }\n",
              "  ]\n",
              "}\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "{\n",
              "  \"category\": \"shoes\",\n",
              "  \"product_count\": 1,\n",
              "  \"price_range\": \"$54.11 - $54.11\",\n",
              "  \"top_products\": [\n",
              "    {\n",
              "      \"product_id\": \"product_en_0090440\",\n",
              "      \"name\": \"Shoes Item 0440\",\n",
              "      \"price\": \"$54.11\",\n",
              "      \"stock\": 73\n",
              "    }\n",
              "  ]\n",
              "}\n",
              "\n",
              "Out: None\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 1.92 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 1.92 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(available_shoes[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'top_products'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'name'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">])</span><span style=\"background-color: #272822\">                                                              </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mavailable_shoes\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtop_products\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mname\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                              \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Code execution failed at line </span><span style=\"color: #008000; text-decoration-color: #008000\">'print(available_shoes['</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">top_products'\\][</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">\\][</span><span style=\"color: #008000; text-decoration-color: #008000\">'name'</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">\\])</span><span style=\"color: #008000; text-decoration-color: #008000\">' due to: InterpreterError: </span>\n",
              "<span style=\"color: #008000; text-decoration-color: #008000\">You'</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">re trying to subscript a string with a string index, which is impossible</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mCode execution failed at line \u001b[0m\u001b[32m'print\u001b[0m\u001b[32m(\u001b[0m\u001b[32mavailable_shoes\u001b[0m\u001b[32m[\u001b[0m\u001b[32m'\u001b[0m\u001b[1;31mtop_products'\\\u001b[0m\u001b[1;31m]\u001b[0m\u001b[1;31m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;31m\\\u001b[0m\u001b[1;31m]\u001b[0m\u001b[1;31m[\u001b[0m\u001b[32m'name'\u001b[0m\u001b[1;31m\\\u001b[0m\u001b[1;31m]\u001b[0m\u001b[1;31m)\u001b[0m\u001b[32m' due to: InterpreterError: \u001b[0m\n",
              "\u001b[32mYou'\u001b[0m\u001b[1;31mre trying to subscript a string with a string index, which is impossible\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 2: Duration 1.72 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 2: Duration 1.72 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m3\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">import</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> json</span><span style=\"background-color: #272822\">                                                                                                    </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">available_shoes </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> json</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">loads(available_shoes)</span><span style=\"background-color: #272822\">                                                                  </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(available_shoes[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'top_products'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'name'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">])</span><span style=\"background-color: #272822\">                                                              </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;255;70;137;48;2;39;40;34mimport\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mjson\u001b[0m\u001b[48;2;39;40;34m                                                                                                    \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mavailable_shoes\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mjson\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mloads\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mavailable_shoes\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                  \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mavailable_shoes\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtop_products\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mname\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                              \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "Shoes Item 0440\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "Shoes Item 0440\n",
              "\n",
              "Out: None\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 3: Duration 3.38 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 3: Duration 3.38 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m4\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">final_answer(answer</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">available_shoes[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'top_products'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'name'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">])</span><span style=\"background-color: #272822\">                                                </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mfinal_answer\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34manswer\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mavailable_shoes\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtop_products\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mname\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Out - Final answer: Shoes Item 0440</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;38;2;212;183;2mOut - Final answer: Shoes Item 0440\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 4: Duration 2.62 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 4: Duration 2.62 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Example <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Example \u001b[1;36m2\u001b[0m/\u001b[1;36m3\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Prompt: Can you check the status of my order OD179190?\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Prompt: Can you check the status of my order OD179190?\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Can you check the status of my order OD179190?</span>                                                                  <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ WeaveVertexAIServerModel - google/gemini-1.5-pro ──────────────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mCan you check the status of my order OD179190?\u001b[0m                                                                  \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m WeaveVertexAIServerModel - google/gemini-1.5-pro \u001b[0m\u001b[38;2;212;183;2m─────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(order_status(order_id</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'OD179190'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">))</span><span style=\"background-color: #272822\">                                                                       </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34morder_status\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34morder_id\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mOD179190\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                       \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "{\n",
              "  \"order_id\": \"OD179190\",\n",
              "  \"customer_id\": \"reviewer_en_0852181\",\n",
              "  \"product_id\": \"product_en_0715785\",\n",
              "  \"status\": \"processing\",\n",
              "  \"order_date\": \"2025-02-19\",\n",
              "  \"delivery_date\": NaN,\n",
              "  \"estimated_delivery_date\": \"2025-02-22\",\n",
              "  \"tracking_number\": NaN,\n",
              "  \"delivery_estimate\": \"2025-02-22\"\n",
              "}\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "{\n",
              "  \"order_id\": \"OD179190\",\n",
              "  \"customer_id\": \"reviewer_en_0852181\",\n",
              "  \"product_id\": \"product_en_0715785\",\n",
              "  \"status\": \"processing\",\n",
              "  \"order_date\": \"2025-02-19\",\n",
              "  \"delivery_date\": NaN,\n",
              "  \"estimated_delivery_date\": \"2025-02-22\",\n",
              "  \"tracking_number\": NaN,\n",
              "  \"delivery_estimate\": \"2025-02-22\"\n",
              "}\n",
              "\n",
              "Out: None\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 1.64 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 1.64 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">final_answer(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"Your order OD179190 is currently being processed.\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                              </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mfinal_answer\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mYour order OD179190 is currently being processed.\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                              \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Out - Final answer: Your order OD179190 is currently being processed.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;38;2;212;183;2mOut - Final answer: Your order OD179190 is currently being processed.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 2: Duration 1.44 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 2: Duration 1.44 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Example <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Example \u001b[1;36m3\u001b[0m/\u001b[1;36m3\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Prompt: Can you show me my recent orders? My customer ID is reviewer_en_0048495\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Prompt: Can you show me my recent orders? My customer ID is reviewer_en_0048495\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Can you show me my recent orders? My customer ID is reviewer_en_0048495</span>                                         <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ WeaveVertexAIServerModel - google/gemini-1.5-pro ──────────────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mCan you show me my recent orders? My customer ID is reviewer_en_0048495\u001b[0m                                         \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m WeaveVertexAIServerModel - google/gemini-1.5-pro \u001b[0m\u001b[38;2;212;183;2m─────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> customer_order_history(customer_id</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'reviewer_en_0048495'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                      </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(recent_orders)</span><span style=\"background-color: #272822\">                                                                                           </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcustomer_order_history\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcustomer_id\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mreviewer_en_0048495\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                      \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                           \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "{\n",
              "  \"customer_id\": \"reviewer_en_0048495\",\n",
              "  \"order_count\": 1,\n",
              "  \"recent_orders\": [\n",
              "    {\n",
              "      \"order_id\": \"OD349791\",\n",
              "      \"date\": \"2024-10-24\",\n",
              "      \"status\": \"delivered\",\n",
              "      \"product_id\": \"product_en_0818466\",\n",
              "      \"delivery_date\": \"2024-10-30\"\n",
              "    }\n",
              "  ]\n",
              "}\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "{\n",
              "  \"customer_id\": \"reviewer_en_0048495\",\n",
              "  \"order_count\": 1,\n",
              "  \"recent_orders\": [\n",
              "    {\n",
              "      \"order_id\": \"OD349791\",\n",
              "      \"date\": \"2024-10-24\",\n",
              "      \"status\": \"delivered\",\n",
              "      \"product_id\": \"product_en_0818466\",\n",
              "      \"delivery_date\": \"2024-10-30\"\n",
              "    }\n",
              "  ]\n",
              "}\n",
              "\n",
              "Out: None\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 1.98 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 1.98 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"You have {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'order_count'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">} recent order:\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Order ID: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'order_id'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                            </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Date: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'date'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                    </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Status: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'status'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Product ID: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'product_id'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                        </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Delivery Date: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'delivery_date'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                  </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mYou have \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34morder_count\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m recent order:\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mOrder ID: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34morder_id\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                            \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mDate: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdate\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                    \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mStatus: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mstatus\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mProduct ID: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_id\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                        \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mDelivery Date: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdelivery_date\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                  \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Code execution failed at line </span><span style=\"color: #008000; text-decoration-color: #008000\">'print(f\"You have {recent_orders['</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">order_count'\\]} recent order:\")</span><span style=\"color: #008000; text-decoration-color: #008000\">' due to: </span>\n",
              "<span style=\"color: #008000; text-decoration-color: #008000\">InterpreterError: You'</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">re trying to subscript a string with a string index, which is impossible</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mCode execution failed at line \u001b[0m\u001b[32m'print\u001b[0m\u001b[32m(\u001b[0m\u001b[32mf\"You have \u001b[0m\u001b[32m{\u001b[0m\u001b[32mrecent_orders\u001b[0m\u001b[32m[\u001b[0m\u001b[32m'\u001b[0m\u001b[1;31morder_count'\\\u001b[0m\u001b[1;31m]\u001b[0m\u001b[1;31m}\u001b[0m\u001b[1;31m recent order:\"\u001b[0m\u001b[1;31m)\u001b[0m\u001b[32m' due to: \u001b[0m\n",
              "\u001b[32mInterpreterError: You'\u001b[0m\u001b[1;31mre trying to subscript a string with a string index, which is impossible\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 2: Duration 3.72 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 2: Duration 3.72 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m3\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">import</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> json</span><span style=\"background-color: #272822\">                                                                                                    </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> json</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">loads(recent_orders)</span><span style=\"background-color: #272822\">                                                                      </span>  \n",
              "  <span style=\"background-color: #272822\">                                                                                                               </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"You have {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'order_count'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">} recent order:\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Order ID: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'order_id'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                            </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Date: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'date'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                    </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Status: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'status'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Product ID: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'product_id'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                        </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Delivery Date: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'delivery_date'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                  </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;255;70;137;48;2;39;40;34mimport\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mjson\u001b[0m\u001b[48;2;39;40;34m                                                                                                    \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mjson\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mloads\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                      \u001b[0m  \n",
              "  \u001b[48;2;39;40;34m                                                                                                               \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mYou have \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34morder_count\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m recent order:\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mOrder ID: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34morder_id\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                            \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mDate: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdate\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                    \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mStatus: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mstatus\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mProduct ID: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_id\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                        \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mDelivery Date: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdelivery_date\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                  \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "You have 1 recent order:\n",
              "Order ID: OD349791\n",
              "Date: 2024-10-24\n",
              "Status: delivered\n",
              "Product ID: product_en_0818466\n",
              "Delivery Date: 2024-10-30\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "You have 1 recent order:\n",
              "Order ID: OD349791\n",
              "Date: 2024-10-24\n",
              "Status: delivered\n",
              "Product ID: product_en_0818466\n",
              "Delivery Date: 2024-10-30\n",
              "\n",
              "Out: None\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 3: Duration 8.14 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 3: Duration 8.14 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
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              "  <span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># No action needed</span><span style=\"background-color: #272822\">                                                                                             </span>  \n",
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              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;149;144;119;48;2;39;40;34m# No action needed\u001b[0m\u001b[48;2;39;40;34m                                                                                             \u001b[0m  \n",
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              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">final_answer(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"Recent orders displayed successfully.\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                          </span>  \n",
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              "  \u001b[38;2;248;248;242;48;2;39;40;34mfinal_answer\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mRecent orders displayed successfully.\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                          \u001b[0m  \n",
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            "Associating projects/321878019554/locations/us-central1/metadataStores/default/contexts/agent-evaluation-agent-eval-run-1741372252-aa0e1d12 to Experiment: agent-evaluation\n"
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            "100%|██████████| 15/15 [00:14<00:00,  1.01it/s]"
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              "      }\n",
              "    </style>\n",
              "  \n",
              "        <a class=\"view-vertex-resource\" id=\"view-vertex-resource-38ae1288-b54f-44e3-a7f7-8d96c14bc3e3\" href=\"#view-view-vertex-resource-38ae1288-b54f-44e3-a7f7-8d96c14bc3e3\">\n",
              "          <span class=\"material-icons view-vertex-icon\">bar_chart</span>\n",
              "          <span>View evaluation results</span>\n",
              "        </a>\n",
              "        \n",
              "        <script>\n",
              "          (function () {\n",
              "            const link = document.getElementById('view-vertex-resource-38ae1288-b54f-44e3-a7f7-8d96c14bc3e3');\n",
              "            link.addEventListener('click', (e) => {\n",
              "              if (window.google?.colab?.openUrl) {\n",
              "                window.google.colab.openUrl('https://cloud.google.com/vertex-ai/generative-ai/docs/models/view-evaluation');\n",
              "              } else {\n",
              "                window.open('https://cloud.google.com/vertex-ai/generative-ai/docs/models/view-evaluation', '_blank');\n",
              "              }\n",
              "              e.stopPropagation();\n",
              "              e.preventDefault();\n",
              "            });\n",
              "          })();\n",
              "        </script>\n",
              "    "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000\">✓</span> Saved detailed metrics to evaluation_results/<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">gemini_pro_</span><span style=\"font-weight: bold\">(</span>low_temp<span style=\"font-weight: bold\">)</span><span style=\"color: #800080; text-decoration-color: #800080\">/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">detailed_metrics.csv</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[32m✓\u001b[0m Saved detailed metrics to evaluation_results/\u001b[1;35mgemini_pro_\u001b[0m\u001b[1m(\u001b[0mlow_temp\u001b[1m)\u001b[0m\u001b[35m/\u001b[0m\u001b[95mdetailed_metrics.csv\u001b[0m\n"
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        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">                  </span><span style=\"font-weight: bold; font-style: italic\">Evaluation Results Summary</span><span style=\"font-style: italic\">                   </span>\n",
              "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━┓\n",
              "┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Metric                        </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Mean </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Median </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Min  </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Max  </span>┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━┩\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Tool Selection Accuracy/Score </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.00 </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> 3.00   </span>│<span style=\"color: #800000; text-decoration-color: #800000\"> 2.00 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 4.00 </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Reasoning Quality/Score       </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 1.00 </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> 1.00   </span>│<span style=\"color: #800000; text-decoration-color: #800000\"> 1.00 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 1.00 </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Response Correctness/Score    </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 1.67 </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> 1.00   </span>│<span style=\"color: #800000; text-decoration-color: #800000\"> 1.00 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 3.00 </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Trajectory Match/Score        </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.33 </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> 3.00   </span>│<span style=\"color: #800000; text-decoration-color: #800000\"> 3.00 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 4.00 </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Coherence/Score               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 4.67 </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> 5.00   </span>│<span style=\"color: #800000; text-decoration-color: #800000\"> 4.00 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 5.00 </span>│\n",
              "└───────────────────────────────┴──────┴────────┴──────┴──────┘\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[3m                  \u001b[0m\u001b[1;3mEvaluation Results Summary\u001b[0m\u001b[3m                   \u001b[0m\n",
              "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━┓\n",
              "┃\u001b[1;36m \u001b[0m\u001b[1;36mMetric                       \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mMean\u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mMedian\u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mMin \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mMax \u001b[0m\u001b[1;36m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━┩\n",
              "│\u001b[36m \u001b[0m\u001b[36mTool Selection Accuracy/Score\u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.00\u001b[0m\u001b[32m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m3.00  \u001b[0m\u001b[34m \u001b[0m│\u001b[31m \u001b[0m\u001b[31m2.00\u001b[0m\u001b[31m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m4.00\u001b[0m\u001b[35m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mReasoning Quality/Score      \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m1.00\u001b[0m\u001b[32m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m1.00  \u001b[0m\u001b[34m \u001b[0m│\u001b[31m \u001b[0m\u001b[31m1.00\u001b[0m\u001b[31m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m1.00\u001b[0m\u001b[35m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mResponse Correctness/Score   \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m1.67\u001b[0m\u001b[32m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m1.00  \u001b[0m\u001b[34m \u001b[0m│\u001b[31m \u001b[0m\u001b[31m1.00\u001b[0m\u001b[31m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m3.00\u001b[0m\u001b[35m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mTrajectory Match/Score       \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.33\u001b[0m\u001b[32m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m3.00  \u001b[0m\u001b[34m \u001b[0m│\u001b[31m \u001b[0m\u001b[31m3.00\u001b[0m\u001b[31m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m4.00\u001b[0m\u001b[35m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mCoherence/Score              \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m4.67\u001b[0m\u001b[32m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m5.00  \u001b[0m\u001b[34m \u001b[0m│\u001b[31m \u001b[0m\u001b[31m4.00\u001b[0m\u001b[31m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m5.00\u001b[0m\u001b[35m \u001b[0m│\n",
              "└───────────────────────────────┴──────┴────────┴──────┴──────┘\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000\">✓</span> Generated score distribution plot\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[32m✓\u001b[0m Generated score distribution plot\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000\">✓</span> Generated difficulty heatmap\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[32m✓\u001b[0m Generated difficulty heatmap\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">                                            </span><span style=\"font-weight: bold; font-style: italic\">Scores by Difficulty Level</span><span style=\"font-style: italic\">                                             </span>\n",
              "┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
              "┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">            </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">                 </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Reasoning          </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Response           </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Tool Selection     </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Trajectory        </span>┃\n",
              "┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Difficulty </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Coherence/Score </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Quality/Score      </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Correctness/Score  </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Accuracy/Score     </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Match/Score       </span>┃\n",
              "┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> easy       </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 4.67            </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 1.00               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 1.67               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.00               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.33              </span>│\n",
              "└────────────┴─────────────────┴────────────────────┴────────────────────┴────────────────────┴───────────────────┘\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[3m                                            \u001b[0m\u001b[1;3mScores by Difficulty Level\u001b[0m\u001b[3m                                             \u001b[0m\n",
              "┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
              "┃\u001b[1;36m            \u001b[0m┃\u001b[1;36m                 \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mReasoning         \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mResponse          \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mTool Selection    \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mTrajectory       \u001b[0m\u001b[1;36m \u001b[0m┃\n",
              "┃\u001b[1;36m \u001b[0m\u001b[1;36mDifficulty\u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mCoherence/Score\u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mQuality/Score     \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mCorrectness/Score \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mAccuracy/Score    \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mMatch/Score      \u001b[0m\u001b[1;36m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
              "│\u001b[36m \u001b[0m\u001b[36measy      \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m4.67           \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m1.00              \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m1.67              \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.00              \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.33             \u001b[0m\u001b[32m \u001b[0m│\n",
              "└────────────┴─────────────────┴────────────────────┴────────────────────┴────────────────────┴───────────────────┘\n"
            ]
          },
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">──────────────────────────────────────────────── </span><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Logging to Weave</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ─────────────────────────────────────────────────</span>\n",
              "</pre>\n"
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              "\u001b[92m──────────────────────────────────────────────── \u001b[0m\u001b[1;34mLogging to Weave\u001b[0m\u001b[92m ─────────────────────────────────────────────────\u001b[0m\n"
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          "metadata": {},
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        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Using 'model_output' key for compatibility with older scorers. Please update scorers to use 'output' parameter.\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluated <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> examples\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Evaluated \u001b[1;36m1\u001b[0m of \u001b[1;36m3\u001b[0m examples\n"
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluated <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span> of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> examples\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Evaluated \u001b[1;36m2\u001b[0m of \u001b[1;36m3\u001b[0m examples\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluated <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> examples\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Evaluated \u001b[1;36m3\u001b[0m of \u001b[1;36m3\u001b[0m examples\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluation summary\n",
              "<span style=\"font-weight: bold\">{</span>\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'model_output'</span>: <span style=\"font-weight: bold\">{</span>\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'vertex_metrics'</span>: <span style=\"font-weight: bold\">{</span>\n",
              "            <span style=\"color: #008000; text-decoration-color: #008000\">'tool_selection_accuracy/score'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.0</span><span style=\"font-weight: bold\">}</span>,\n",
              "            <span style=\"color: #008000; text-decoration-color: #008000\">'trajectory_match/score'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.3333333333333335</span><span style=\"font-weight: bold\">}</span>,\n",
              "            <span style=\"color: #008000; text-decoration-color: #008000\">'response_correctness/score'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.6666666666666667</span><span style=\"font-weight: bold\">}</span>,\n",
              "            <span style=\"color: #008000; text-decoration-color: #008000\">'reasoning_quality/score'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.0</span><span style=\"font-weight: bold\">}</span>,\n",
              "            <span style=\"color: #008000; text-decoration-color: #008000\">'coherence/score'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.666666666666667</span><span style=\"font-weight: bold\">}</span>\n",
              "        <span style=\"font-weight: bold\">}</span>\n",
              "    <span style=\"font-weight: bold\">}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'tool_selection_scorer'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'tool_selection'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.0</span><span style=\"font-weight: bold\">}</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'tools_used'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.6666666666666665</span><span style=\"font-weight: bold\">}}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'response_correctness_scorer'</span>: <span style=\"font-weight: bold\">{</span>\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'response_length'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">33.666666666666664</span><span style=\"font-weight: bold\">}</span>,\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'response_correctness'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.6666666666666667</span><span style=\"font-weight: bold\">}</span>\n",
              "    <span style=\"font-weight: bold\">}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'trajectory_analysis_scorer'</span>: <span style=\"font-weight: bold\">{</span>\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'tools_in_trajectory'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.6666666666666665</span><span style=\"font-weight: bold\">}</span>,\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'trajectory_steps'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.6666666666666665</span><span style=\"font-weight: bold\">}</span>,\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'trajectory_match'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.3333333333333335</span><span style=\"font-weight: bold\">}</span>\n",
              "    <span style=\"font-weight: bold\">}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'reasoning_quality_scorer'</span>: <span style=\"font-weight: bold\">{</span>\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'reasoning_quality'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.0</span><span style=\"font-weight: bold\">}</span>,\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'reasoning_length'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1479.3333333333333</span><span style=\"font-weight: bold\">}</span>\n",
              "    <span style=\"font-weight: bold\">}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'coherence_scorer'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'coherence'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.666666666666667</span><span style=\"font-weight: bold\">}}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'model_latency'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.009661674499511719</span><span style=\"font-weight: bold\">}</span>\n",
              "<span style=\"font-weight: bold\">}</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Evaluation summary\n",
              "\u001b[1m{\u001b[0m\n",
              "    \u001b[32m'model_output'\u001b[0m: \u001b[1m{\u001b[0m\n",
              "        \u001b[32m'vertex_metrics'\u001b[0m: \u001b[1m{\u001b[0m\n",
              "            \u001b[32m'tool_selection_accuracy/score'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m3.0\u001b[0m\u001b[1m}\u001b[0m,\n",
              "            \u001b[32m'trajectory_match/score'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m3.3333333333333335\u001b[0m\u001b[1m}\u001b[0m,\n",
              "            \u001b[32m'response_correctness/score'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m1.6666666666666667\u001b[0m\u001b[1m}\u001b[0m,\n",
              "            \u001b[32m'reasoning_quality/score'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m1.0\u001b[0m\u001b[1m}\u001b[0m,\n",
              "            \u001b[32m'coherence/score'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m4.666666666666667\u001b[0m\u001b[1m}\u001b[0m\n",
              "        \u001b[1m}\u001b[0m\n",
              "    \u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'tool_selection_scorer'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'tool_selection'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m3.0\u001b[0m\u001b[1m}\u001b[0m, \u001b[32m'tools_used'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m3.6666666666666665\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'response_correctness_scorer'\u001b[0m: \u001b[1m{\u001b[0m\n",
              "        \u001b[32m'response_length'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m33.666666666666664\u001b[0m\u001b[1m}\u001b[0m,\n",
              "        \u001b[32m'response_correctness'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m1.6666666666666667\u001b[0m\u001b[1m}\u001b[0m\n",
              "    \u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'trajectory_analysis_scorer'\u001b[0m: \u001b[1m{\u001b[0m\n",
              "        \u001b[32m'tools_in_trajectory'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m3.6666666666666665\u001b[0m\u001b[1m}\u001b[0m,\n",
              "        \u001b[32m'trajectory_steps'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m3.6666666666666665\u001b[0m\u001b[1m}\u001b[0m,\n",
              "        \u001b[32m'trajectory_match'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m3.3333333333333335\u001b[0m\u001b[1m}\u001b[0m\n",
              "    \u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'reasoning_quality_scorer'\u001b[0m: \u001b[1m{\u001b[0m\n",
              "        \u001b[32m'reasoning_quality'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m1.0\u001b[0m\u001b[1m}\u001b[0m,\n",
              "        \u001b[32m'reasoning_length'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m1479.3333333333333\u001b[0m\u001b[1m}\u001b[0m\n",
              "    \u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'coherence_scorer'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'coherence'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m4.666666666666667\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'model_latency'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m0.009661674499511719\u001b[0m\u001b[1m}\u001b[0m\n",
              "\u001b[1m}\u001b[0m\n"
            ]
          },
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          "output_type": "display_data"
        },
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000\">✓</span> Weave evaluation complete\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[32m✓\u001b[0m Weave evaluation complete\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "<span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Results for Gemini Pro (Low Temp):</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\n",
              "\u001b[1;32mResults for Gemini Pro \u001b[0m\u001b[1;32m(\u001b[0m\u001b[1;32mLow Temp\u001b[0m\u001b[1;32m)\u001b[0m\u001b[1;32m:\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">                 Summary Metrics                  </span>\n",
              "┏━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━┓\n",
              "┃<span style=\"font-weight: bold\"> Metric                  </span>┃<span style=\"font-weight: bold\"> Score </span>┃<span style=\"font-weight: bold\"> Rating       </span>┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━┩\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Coherence               </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 4.67  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Excellent</span><span style=\"color: #808000; text-decoration-color: #808000\">    </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Reasoning Quality       </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 1.00  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> </span><span style=\"color: #800000; text-decoration-color: #800000\">Poor</span><span style=\"color: #808000; text-decoration-color: #808000\">         </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Response Correctness    </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 1.67  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> </span><span style=\"color: #800000; text-decoration-color: #800000\">Poor</span><span style=\"color: #808000; text-decoration-color: #808000\">         </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Tool Selection Accuracy </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 3.00  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> Satisfactory </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Trajectory Match        </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 3.33  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> Satisfactory </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Row Count               </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 3.00  </span>│<span style=\"color: #808000; text-decoration-color: #808000\">              </span>│\n",
              "└─────────────────────────┴───────┴──────────────┘\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[3m                 Summary Metrics                  \u001b[0m\n",
              "┏━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━┓\n",
              "┃\u001b[1m \u001b[0m\u001b[1mMetric                 \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mScore\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mRating      \u001b[0m\u001b[1m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━┩\n",
              "│\u001b[36m \u001b[0m\u001b[36mCoherence              \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m4.67 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[1;32mExcellent\u001b[0m\u001b[33m   \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mReasoning Quality      \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m1.00 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[31mPoor\u001b[0m\u001b[33m        \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mResponse Correctness   \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m1.67 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[31mPoor\u001b[0m\u001b[33m        \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mTool Selection Accuracy\u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m3.00 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[33mSatisfactory\u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mTrajectory Match       \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m3.33 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[33mSatisfactory\u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mRow Count              \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m3.00 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[33m            \u001b[0m\u001b[33m \u001b[0m│\n",
              "└─────────────────────────┴───────┴──────────────┘\n"
            ]
          },
          "metadata": {},
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        },
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "<span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Evaluating Gemini Pro (High Temp)...</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\n",
              "\u001b[1;34mEvaluating Gemini Pro \u001b[0m\u001b[1;34m(\u001b[0m\u001b[1;34mHigh Temp\u001b[0m\u001b[1;34m)\u001b[0m\u001b[1;34m...\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">─────────────────────────────────────── </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Running Agent on Evaluation Dataset</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ───────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m─────────────────────────────────────── \u001b[0m\u001b[1;36mRunning Agent on Evaluation Dataset\u001b[0m\u001b[92m ───────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Example <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Example \u001b[1;36m1\u001b[0m/\u001b[1;36m3\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Prompt: I'm looking for products in the shoes category. What do you have?\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Prompt: I'm looking for products in the shoes category. What do you have?\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">I'm looking for products in the shoes category. What do you have?</span>                                               <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ WeaveVertexAIServerModel - google/gemini-1.5-pro ──────────────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mI'm looking for products in the shoes category. What do you have?\u001b[0m                                               \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m WeaveVertexAIServerModel - google/gemini-1.5-pro \u001b[0m\u001b[38;2;212;183;2m─────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">products </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> category_browse(category</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"shoes\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                                   </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(products)</span><span style=\"background-color: #272822\">                                                                                                </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mproducts\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcategory_browse\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcategory\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mshoes\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                   \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mproducts\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                                \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "{\n",
              "  \"category\": \"shoes\",\n",
              "  \"product_count\": 1,\n",
              "  \"price_range\": \"$54.11 - $54.11\",\n",
              "  \"top_products\": [\n",
              "    {\n",
              "      \"product_id\": \"product_en_0090440\",\n",
              "      \"name\": \"Shoes Item 0440\",\n",
              "      \"price\": \"$54.11\",\n",
              "      \"stock\": 73\n",
              "    }\n",
              "  ]\n",
              "}\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "{\n",
              "  \"category\": \"shoes\",\n",
              "  \"product_count\": 1,\n",
              "  \"price_range\": \"$54.11 - $54.11\",\n",
              "  \"top_products\": [\n",
              "    {\n",
              "      \"product_id\": \"product_en_0090440\",\n",
              "      \"name\": \"Shoes Item 0440\",\n",
              "      \"price\": \"$54.11\",\n",
              "      \"stock\": 73\n",
              "    }\n",
              "  ]\n",
              "}\n",
              "\n",
              "Out: None\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 1.84 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 1.84 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"We have the following shoe product: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">products[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'top_products'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'name'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">} - </span><span style=\"background-color: #272822\">                           </span>  \n",
              "  <span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">${</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">products[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'top_products'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'price'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                                      </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mWe have the following shoe product: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mproducts\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtop_products\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mname\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m - \u001b[0m\u001b[48;2;39;40;34m                           \u001b[0m  \n",
              "  \u001b[38;2;230;219;116;48;2;39;40;34m$\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mproducts\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtop_products\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mprice\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                      \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Code execution failed at line </span><span style=\"color: #008000; text-decoration-color: #008000\">'print(f\"We have the following shoe product: {products['</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">top_products'\\][</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">\\][</span><span style=\"color: #008000; text-decoration-color: #008000\">'name'</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">\\]}</span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">- ${products[</span><span style=\"color: #008000; text-decoration-color: #008000\">'top_products'</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">\\][</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">\\][</span><span style=\"color: #008000; text-decoration-color: #008000\">'price'</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">\\]}\")</span><span style=\"color: #008000; text-decoration-color: #008000\">' due to: InterpreterError: You'</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">re trying to subscript a string with </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">a string index, which is impossible</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mCode execution failed at line \u001b[0m\u001b[32m'print\u001b[0m\u001b[32m(\u001b[0m\u001b[32mf\"We have the following shoe product: \u001b[0m\u001b[32m{\u001b[0m\u001b[32mproducts\u001b[0m\u001b[32m[\u001b[0m\u001b[32m'\u001b[0m\u001b[1;31mtop_products'\\\u001b[0m\u001b[1;31m]\u001b[0m\u001b[1;31m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;31m\\\u001b[0m\u001b[1;31m]\u001b[0m\u001b[1;31m[\u001b[0m\u001b[32m'name'\u001b[0m\u001b[1;31m\\\u001b[0m\u001b[1;31m]\u001b[0m\u001b[1;31m}\u001b[0m\n",
              "\u001b[1;31m- $\u001b[0m\u001b[1;31m{\u001b[0m\u001b[1;31mproducts\u001b[0m\u001b[1;31m[\u001b[0m\u001b[32m'top_products'\u001b[0m\u001b[1;31m\\\u001b[0m\u001b[1;31m]\u001b[0m\u001b[1;31m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;31m\\\u001b[0m\u001b[1;31m]\u001b[0m\u001b[1;31m[\u001b[0m\u001b[32m'price'\u001b[0m\u001b[1;31m\\\u001b[0m\u001b[1;31m]\u001b[0m\u001b[1;31m}\u001b[0m\u001b[1;31m\"\u001b[0m\u001b[1;31m)\u001b[0m\u001b[32m' due to: InterpreterError: You'\u001b[0m\u001b[1;31mre trying to subscript a string with \u001b[0m\n",
              "\u001b[1;31ma string index, which is impossible\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 2: Duration 2.44 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 2: Duration 2.44 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m3\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">import</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> json</span><span style=\"background-color: #272822\">                                                                                                    </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">products </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> json</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">loads(products)</span><span style=\"background-color: #272822\">                                                                                </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"We have the following shoe product: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">products[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'top_products'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'name'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">} - </span><span style=\"background-color: #272822\">                           </span>  \n",
              "  <span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">${</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">products[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'top_products'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'price'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                                      </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;255;70;137;48;2;39;40;34mimport\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mjson\u001b[0m\u001b[48;2;39;40;34m                                                                                                    \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mproducts\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mjson\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mloads\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mproducts\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mWe have the following shoe product: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mproducts\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtop_products\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mname\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m - \u001b[0m\u001b[48;2;39;40;34m                           \u001b[0m  \n",
              "  \u001b[38;2;230;219;116;48;2;39;40;34m$\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mproducts\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtop_products\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mprice\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                      \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "We have the following shoe product: Shoes Item 0440 - $$54.11\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "We have the following shoe product: Shoes Item 0440 - $$54.11\n",
              "\n",
              "Out: None\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 3: Duration 4.25 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 3: Duration 4.25 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m4\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">final_answer(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"I have presented the shoe product information.\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                 </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mfinal_answer\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mI have presented the shoe product information.\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                 \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Out - Final answer: I have presented the shoe product information.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;38;2;212;183;2mOut - Final answer: I have presented the shoe product information.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 4: Duration 2.47 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 4: Duration 2.47 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Example <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Example \u001b[1;36m2\u001b[0m/\u001b[1;36m3\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Prompt: Can you check the status of my order OD179190?\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Prompt: Can you check the status of my order OD179190?\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Can you check the status of my order OD179190?</span>                                                                  <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ WeaveVertexAIServerModel - google/gemini-1.5-pro ──────────────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mCan you check the status of my order OD179190?\u001b[0m                                                                  \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m WeaveVertexAIServerModel - google/gemini-1.5-pro \u001b[0m\u001b[38;2;212;183;2m─────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(order_status(order_id</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'OD179190'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">))</span><span style=\"background-color: #272822\">                                                                       </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34morder_status\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34morder_id\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mOD179190\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                       \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "{\n",
              "  \"order_id\": \"OD179190\",\n",
              "  \"customer_id\": \"reviewer_en_0852181\",\n",
              "  \"product_id\": \"product_en_0715785\",\n",
              "  \"status\": \"processing\",\n",
              "  \"order_date\": \"2025-02-19\",\n",
              "  \"delivery_date\": NaN,\n",
              "  \"estimated_delivery_date\": \"2025-02-22\",\n",
              "  \"tracking_number\": NaN,\n",
              "  \"delivery_estimate\": \"2025-02-22\"\n",
              "}\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "{\n",
              "  \"order_id\": \"OD179190\",\n",
              "  \"customer_id\": \"reviewer_en_0852181\",\n",
              "  \"product_id\": \"product_en_0715785\",\n",
              "  \"status\": \"processing\",\n",
              "  \"order_date\": \"2025-02-19\",\n",
              "  \"delivery_date\": NaN,\n",
              "  \"estimated_delivery_date\": \"2025-02-22\",\n",
              "  \"tracking_number\": NaN,\n",
              "  \"delivery_estimate\": \"2025-02-22\"\n",
              "}\n",
              "\n",
              "Out: None\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 1.61 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 1.61 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">final_answer(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Your order OD179190 is currently processing and is expected to be delivered by 2025-02-22.\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">    </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mfinal_answer\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mYour order OD179190 is currently processing and is expected to be delivered by 2025-02-22.\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m    \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Out - Final answer: Your order OD179190 is currently processing and is expected to be delivered by 2025-02-22.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;38;2;212;183;2mOut - Final answer: Your order OD179190 is currently processing and is expected to be delivered by 2025-02-22.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 2: Duration 2.54 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 2: Duration 2.54 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Example <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Example \u001b[1;36m3\u001b[0m/\u001b[1;36m3\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Prompt: Can you show me my recent orders? My customer ID is reviewer_en_0048495\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Prompt: Can you show me my recent orders? My customer ID is reviewer_en_0048495\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Can you show me my recent orders? My customer ID is reviewer_en_0048495</span>                                         <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ WeaveVertexAIServerModel - google/gemini-1.5-pro ──────────────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mCan you show me my recent orders? My customer ID is reviewer_en_0048495\u001b[0m                                         \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m WeaveVertexAIServerModel - google/gemini-1.5-pro \u001b[0m\u001b[38;2;212;183;2m─────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> customer_order_history(customer_id</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'reviewer_en_0048495'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                      </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(recent_orders)</span><span style=\"background-color: #272822\">                                                                                           </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcustomer_order_history\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcustomer_id\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mreviewer_en_0048495\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                      \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                           \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "{\n",
              "  \"customer_id\": \"reviewer_en_0048495\",\n",
              "  \"order_count\": 1,\n",
              "  \"recent_orders\": [\n",
              "    {\n",
              "      \"order_id\": \"OD349791\",\n",
              "      \"date\": \"2024-10-24\",\n",
              "      \"status\": \"delivered\",\n",
              "      \"product_id\": \"product_en_0818466\",\n",
              "      \"delivery_date\": \"2024-10-30\"\n",
              "    }\n",
              "  ]\n",
              "}\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "{\n",
              "  \"customer_id\": \"reviewer_en_0048495\",\n",
              "  \"order_count\": 1,\n",
              "  \"recent_orders\": [\n",
              "    {\n",
              "      \"order_id\": \"OD349791\",\n",
              "      \"date\": \"2024-10-24\",\n",
              "      \"status\": \"delivered\",\n",
              "      \"product_id\": \"product_en_0818466\",\n",
              "      \"delivery_date\": \"2024-10-30\"\n",
              "    }\n",
              "  ]\n",
              "}\n",
              "\n",
              "Out: None\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 2.04 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 2.04 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"You have placed {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'order_count'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">} order recently.\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                       </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Order ID: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'order_id'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                            </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Order Date: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'date'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                              </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Order Status: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'status'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                          </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Product ID: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'product_id'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                        </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Delivery Date: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'delivery_date'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                  </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mYou have placed \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34morder_count\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m order recently.\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                       \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mOrder ID: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34morder_id\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                            \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mOrder Date: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdate\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                              \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mOrder Status: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mstatus\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                          \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mProduct ID: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_id\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                        \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mDelivery Date: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdelivery_date\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                  \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Code execution failed at line </span><span style=\"color: #008000; text-decoration-color: #008000\">'print(f\"You have placed {recent_orders['</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">order_count'\\]} order recently.\")</span><span style=\"color: #008000; text-decoration-color: #008000\">' due to: </span>\n",
              "<span style=\"color: #008000; text-decoration-color: #008000\">InterpreterError: You'</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">re trying to subscript a string with a string index, which is impossible</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mCode execution failed at line \u001b[0m\u001b[32m'print\u001b[0m\u001b[32m(\u001b[0m\u001b[32mf\"You have placed \u001b[0m\u001b[32m{\u001b[0m\u001b[32mrecent_orders\u001b[0m\u001b[32m[\u001b[0m\u001b[32m'\u001b[0m\u001b[1;31morder_count'\\\u001b[0m\u001b[1;31m]\u001b[0m\u001b[1;31m}\u001b[0m\u001b[1;31m order recently.\"\u001b[0m\u001b[1;31m)\u001b[0m\u001b[32m' due to: \u001b[0m\n",
              "\u001b[32mInterpreterError: You'\u001b[0m\u001b[1;31mre trying to subscript a string with a string index, which is impossible\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 2: Duration 3.89 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 2: Duration 3.89 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m3\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">import</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> json</span><span style=\"background-color: #272822\">                                                                                                    </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> json</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">loads(recent_orders)</span><span style=\"background-color: #272822\">                                                                      </span>  \n",
              "  <span style=\"background-color: #272822\">                                                                                                               </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"You have placed {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'order_count'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">} order recently.\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                       </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Order ID: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'order_id'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                            </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Order Date: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'date'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                              </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Order Status: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'status'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                          </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Product ID: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'product_id'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                        </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"Delivery Date: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'delivery_date'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                  </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;255;70;137;48;2;39;40;34mimport\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mjson\u001b[0m\u001b[48;2;39;40;34m                                                                                                    \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mjson\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mloads\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                      \u001b[0m  \n",
              "  \u001b[48;2;39;40;34m                                                                                                               \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mYou have placed \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34morder_count\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m order recently.\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                       \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mOrder ID: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34morder_id\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                            \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mOrder Date: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdate\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                              \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mOrder Status: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mstatus\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                          \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mProduct ID: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_id\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                        \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mDelivery Date: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdelivery_date\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                  \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "You have placed 1 order recently.\n",
              "Order ID: OD349791\n",
              "Order Date: 2024-10-24\n",
              "Order Status: delivered\n",
              "Product ID: product_en_0818466\n",
              "Delivery Date: 2024-10-30\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "You have placed 1 order recently.\n",
              "Order ID: OD349791\n",
              "Order Date: 2024-10-24\n",
              "Order Status: delivered\n",
              "Product ID: product_en_0818466\n",
              "Delivery Date: 2024-10-30\n",
              "\n",
              "Out: None\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 3: Duration 8.16 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 3: Duration 8.16 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m4\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">final_answer(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"You have placed {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'order_count'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">} order recently. </span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">\\n</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">Order ID: </span><span style=\"background-color: #272822\">                     </span>  \n",
              "  <span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">{</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'order_id'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">\\n</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">Order Date: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'date'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">\\n</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">Order</span>  \n",
              "  <span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">Status: {</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'status'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">\\n</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">Product ID: </span><span style=\"background-color: #272822\">                                            </span>  \n",
              "  <span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">{</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'product_id'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">\\n</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">Delivery Date: </span><span style=\"background-color: #272822\">                                             </span>  \n",
              "  <span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">{</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">recent_orders[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'recent_orders'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'delivery_date'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">}\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                         </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mfinal_answer\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mYou have placed \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34morder_count\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m order recently. \u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m\\n\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mOrder ID: \u001b[0m\u001b[48;2;39;40;34m                     \u001b[0m  \n",
              "  \u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34morder_id\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m\\n\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mOrder Date: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdate\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m\\n\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mOrder\u001b[0m  \n",
              "  \u001b[38;2;230;219;116;48;2;39;40;34mStatus: \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mstatus\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m\\n\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mProduct ID: \u001b[0m\u001b[48;2;39;40;34m                                            \u001b[0m  \n",
              "  \u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct_id\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m\\n\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mDelivery Date: \u001b[0m\u001b[48;2;39;40;34m                                             \u001b[0m  \n",
              "  \u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecent_orders\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdelivery_date\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                         \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Out - Final answer: You have placed 1 order recently. </span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Order ID: OD349791</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Order Date: 2024-10-24</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Order Status: delivered</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Product ID: product_en_0818466</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Delivery Date: 2024-10-30</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;38;2;212;183;2mOut - Final answer: You have placed 1 order recently. \u001b[0m\n",
              "\u001b[1;38;2;212;183;2mOrder ID: OD349791\u001b[0m\n",
              "\u001b[1;38;2;212;183;2mOrder Date: 2024-10-24\u001b[0m\n",
              "\u001b[1;38;2;212;183;2mOrder Status: delivered\u001b[0m\n",
              "\u001b[1;38;2;212;183;2mProduct ID: product_en_0818466\u001b[0m\n",
              "\u001b[1;38;2;212;183;2mDelivery Date: 2024-10-30\u001b[0m\n"
            ]
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          "metadata": {},
          "output_type": "display_data"
        },
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          "data": {
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 4: Duration 6.19 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 4: Duration 6.19 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────── </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Running Vertex AI Evaluation</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ───────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m────────────────────────────────────────── \u001b[0m\u001b[1;36mRunning Vertex AI Evaluation\u001b[0m\u001b[92m ───────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────── </span><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Running Vertex AI Evaluation</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ───────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m────────────────────────────────────────── \u001b[0m\u001b[1;34mRunning Vertex AI Evaluation\u001b[0m\u001b[92m ───────────────────────────────────────────\u001b[0m\n"
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          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Starting evaluation with run ID: </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1741372310</span><span style=\"color: #008080; text-decoration-color: #008080\">-1752a99f</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;34mStarting evaluation with run ID: \u001b[0m\u001b[1;36m1741372310\u001b[0m\u001b[36m-1752a99f\u001b[0m\n"
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              "\n",
              "        \n",
              "    <link rel=\"stylesheet\" href=\"https://fonts.googleapis.com/icon?family=Material+Icons\">\n",
              "    <style>\n",
              "      .view-vertex-resource,\n",
              "      .view-vertex-resource:hover,\n",
              "      .view-vertex-resource:visited {\n",
              "        position: relative;\n",
              "        display: inline-flex;\n",
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              "\n",
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            "Associating projects/321878019554/locations/us-central1/metadataStores/default/contexts/agent-evaluation-agent-eval-run-1741372310-1752a99f to Experiment: agent-evaluation\n"
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            "Logging Eval Experiment metadata: {'model_name': 'publishers/google/models/gemini-1.5-pro'}\n",
            "Generating a total of 3 responses from Gemini model gemini-1.5-pro.\n"
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          "text": [
            "100%|██████████| 3/3 [00:03<00:00,  1.06s/it]"
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          "text": [
            "All 3 responses are successfully generated from Gemini model gemini-1.5-pro.\n",
            "Multithreaded Batch Inference took: 3.1885654579964466 seconds.\n",
            "Computing metrics with a total of 15 Vertex Gen AI Evaluation Service API requests.\n"
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            "\n",
            "100%|██████████| 15/15 [00:15<00:00,  1.01s/it]"
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            "All 15 metric requests are successfully computed.\n",
            "Evaluation Took:15.180342582985759 seconds\n"
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              "</pre>\n"
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              "\u001b[32m✓\u001b[0m Saved detailed metrics to evaluation_results/\u001b[1;35mgemini_pro_\u001b[0m\u001b[1m(\u001b[0mhigh_temp\u001b[1m)\u001b[0m\u001b[35m/\u001b[0m\u001b[95mdetailed_metrics.csv\u001b[0m\n"
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">                  </span><span style=\"font-weight: bold; font-style: italic\">Evaluation Results Summary</span><span style=\"font-style: italic\">                   </span>\n",
              "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━┓\n",
              "┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Metric                        </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Mean </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Median </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Min  </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Max  </span>┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━┩\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Tool Selection Accuracy/Score </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 2.33 </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> 2.00   </span>│<span style=\"color: #800000; text-decoration-color: #800000\"> 1.00 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 4.00 </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Reasoning Quality/Score       </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 2.00 </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> 1.00   </span>│<span style=\"color: #800000; text-decoration-color: #800000\"> 1.00 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 4.00 </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Response Correctness/Score    </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.67 </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> 5.00   </span>│<span style=\"color: #800000; text-decoration-color: #800000\"> 1.00 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 5.00 </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Trajectory Match/Score        </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.33 </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> 3.00   </span>│<span style=\"color: #800000; text-decoration-color: #800000\"> 3.00 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 4.00 </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Coherence/Score               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 5.00 </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> 5.00   </span>│<span style=\"color: #800000; text-decoration-color: #800000\"> 5.00 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 5.00 </span>│\n",
              "└───────────────────────────────┴──────┴────────┴──────┴──────┘\n",
              "</pre>\n"
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              "\u001b[3m                  \u001b[0m\u001b[1;3mEvaluation Results Summary\u001b[0m\u001b[3m                   \u001b[0m\n",
              "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━┓\n",
              "┃\u001b[1;36m \u001b[0m\u001b[1;36mMetric                       \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mMean\u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mMedian\u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mMin \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mMax \u001b[0m\u001b[1;36m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━┩\n",
              "│\u001b[36m \u001b[0m\u001b[36mTool Selection Accuracy/Score\u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m2.33\u001b[0m\u001b[32m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m2.00  \u001b[0m\u001b[34m \u001b[0m│\u001b[31m \u001b[0m\u001b[31m1.00\u001b[0m\u001b[31m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m4.00\u001b[0m\u001b[35m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mReasoning Quality/Score      \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m2.00\u001b[0m\u001b[32m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m1.00  \u001b[0m\u001b[34m \u001b[0m│\u001b[31m \u001b[0m\u001b[31m1.00\u001b[0m\u001b[31m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m4.00\u001b[0m\u001b[35m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mResponse Correctness/Score   \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.67\u001b[0m\u001b[32m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m5.00  \u001b[0m\u001b[34m \u001b[0m│\u001b[31m \u001b[0m\u001b[31m1.00\u001b[0m\u001b[31m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m5.00\u001b[0m\u001b[35m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mTrajectory Match/Score       \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.33\u001b[0m\u001b[32m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m3.00  \u001b[0m\u001b[34m \u001b[0m│\u001b[31m \u001b[0m\u001b[31m3.00\u001b[0m\u001b[31m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m4.00\u001b[0m\u001b[35m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mCoherence/Score              \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m5.00\u001b[0m\u001b[32m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m5.00  \u001b[0m\u001b[34m \u001b[0m│\u001b[31m \u001b[0m\u001b[31m5.00\u001b[0m\u001b[31m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m5.00\u001b[0m\u001b[35m \u001b[0m│\n",
              "└───────────────────────────────┴──────┴────────┴──────┴──────┘\n"
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              "\u001b[32m✓\u001b[0m Generated score distribution plot\n"
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000\">✓</span> Generated difficulty heatmap\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[32m✓\u001b[0m Generated difficulty heatmap\n"
            ]
          },
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          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">                                            </span><span style=\"font-weight: bold; font-style: italic\">Scores by Difficulty Level</span><span style=\"font-style: italic\">                                             </span>\n",
              "┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
              "┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">            </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">                 </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Reasoning          </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Response           </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Tool Selection     </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Trajectory        </span>┃\n",
              "┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Difficulty </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Coherence/Score </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Quality/Score      </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Correctness/Score  </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Accuracy/Score     </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Match/Score       </span>┃\n",
              "┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> easy       </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 5.00            </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 2.00               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.67               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 2.33               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.33              </span>│\n",
              "└────────────┴─────────────────┴────────────────────┴────────────────────┴────────────────────┴───────────────────┘\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[3m                                            \u001b[0m\u001b[1;3mScores by Difficulty Level\u001b[0m\u001b[3m                                             \u001b[0m\n",
              "┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
              "┃\u001b[1;36m            \u001b[0m┃\u001b[1;36m                 \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mReasoning         \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mResponse          \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mTool Selection    \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mTrajectory       \u001b[0m\u001b[1;36m \u001b[0m┃\n",
              "┃\u001b[1;36m \u001b[0m\u001b[1;36mDifficulty\u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mCoherence/Score\u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mQuality/Score     \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mCorrectness/Score \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mAccuracy/Score    \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mMatch/Score      \u001b[0m\u001b[1;36m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
              "│\u001b[36m \u001b[0m\u001b[36measy      \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m5.00           \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m2.00              \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.67              \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m2.33              \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.33             \u001b[0m\u001b[32m \u001b[0m│\n",
              "└────────────┴─────────────────┴────────────────────┴────────────────────┴────────────────────┴───────────────────┘\n"
            ]
          },
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          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">──────────────────────────────────────────────── </span><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Logging to Weave</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ─────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m──────────────────────────────────────────────── \u001b[0m\u001b[1;34mLogging to Weave\u001b[0m\u001b[92m ─────────────────────────────────────────────────\u001b[0m\n"
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluated <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> examples\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Evaluated \u001b[1;36m1\u001b[0m of \u001b[1;36m3\u001b[0m examples\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluated <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span> of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> examples\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Evaluated \u001b[1;36m2\u001b[0m of \u001b[1;36m3\u001b[0m examples\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluated <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> examples\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Evaluated \u001b[1;36m3\u001b[0m of \u001b[1;36m3\u001b[0m examples\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluation summary\n",
              "<span style=\"font-weight: bold\">{</span>\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'model_output'</span>: <span style=\"font-weight: bold\">{</span>\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'vertex_metrics'</span>: <span style=\"font-weight: bold\">{</span>\n",
              "            <span style=\"color: #008000; text-decoration-color: #008000\">'tool_selection_accuracy/score'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.3333333333333335</span><span style=\"font-weight: bold\">}</span>,\n",
              "            <span style=\"color: #008000; text-decoration-color: #008000\">'trajectory_match/score'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.3333333333333335</span><span style=\"font-weight: bold\">}</span>,\n",
              "            <span style=\"color: #008000; text-decoration-color: #008000\">'response_correctness/score'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.6666666666666665</span><span style=\"font-weight: bold\">}</span>,\n",
              "            <span style=\"color: #008000; text-decoration-color: #008000\">'reasoning_quality/score'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.0</span><span style=\"font-weight: bold\">}</span>,\n",
              "            <span style=\"color: #008000; text-decoration-color: #008000\">'coherence/score'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.0</span><span style=\"font-weight: bold\">}</span>\n",
              "        <span style=\"font-weight: bold\">}</span>\n",
              "    <span style=\"font-weight: bold\">}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'tool_selection_scorer'</span>: <span style=\"font-weight: bold\">{</span>\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'tool_selection'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.3333333333333335</span><span style=\"font-weight: bold\">}</span>,\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'tools_used'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.3333333333333335</span><span style=\"font-weight: bold\">}</span>\n",
              "    <span style=\"font-weight: bold\">}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'response_correctness_scorer'</span>: <span style=\"font-weight: bold\">{</span>\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'response_length'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">97.66666666666667</span><span style=\"font-weight: bold\">}</span>,\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'response_correctness'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.6666666666666665</span><span style=\"font-weight: bold\">}</span>\n",
              "    <span style=\"font-weight: bold\">}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'trajectory_analysis_scorer'</span>: <span style=\"font-weight: bold\">{</span>\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'tools_in_trajectory'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.3333333333333335</span><span style=\"font-weight: bold\">}</span>,\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'trajectory_steps'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.3333333333333335</span><span style=\"font-weight: bold\">}</span>,\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'trajectory_match'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.3333333333333335</span><span style=\"font-weight: bold\">}</span>\n",
              "    <span style=\"font-weight: bold\">}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'reasoning_quality_scorer'</span>: <span style=\"font-weight: bold\">{</span>\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'reasoning_quality'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.0</span><span style=\"font-weight: bold\">}</span>,\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'reasoning_length'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1775.3333333333333</span><span style=\"font-weight: bold\">}</span>\n",
              "    <span style=\"font-weight: bold\">}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'coherence_scorer'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'coherence'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.0</span><span style=\"font-weight: bold\">}}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'model_latency'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.005402962366739909</span><span style=\"font-weight: bold\">}</span>\n",
              "<span style=\"font-weight: bold\">}</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Evaluation summary\n",
              "\u001b[1m{\u001b[0m\n",
              "    \u001b[32m'model_output'\u001b[0m: \u001b[1m{\u001b[0m\n",
              "        \u001b[32m'vertex_metrics'\u001b[0m: \u001b[1m{\u001b[0m\n",
              "            \u001b[32m'tool_selection_accuracy/score'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m2.3333333333333335\u001b[0m\u001b[1m}\u001b[0m,\n",
              "            \u001b[32m'trajectory_match/score'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m3.3333333333333335\u001b[0m\u001b[1m}\u001b[0m,\n",
              "            \u001b[32m'response_correctness/score'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m3.6666666666666665\u001b[0m\u001b[1m}\u001b[0m,\n",
              "            \u001b[32m'reasoning_quality/score'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m2.0\u001b[0m\u001b[1m}\u001b[0m,\n",
              "            \u001b[32m'coherence/score'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m5.0\u001b[0m\u001b[1m}\u001b[0m\n",
              "        \u001b[1m}\u001b[0m\n",
              "    \u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'tool_selection_scorer'\u001b[0m: \u001b[1m{\u001b[0m\n",
              "        \u001b[32m'tool_selection'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m2.3333333333333335\u001b[0m\u001b[1m}\u001b[0m,\n",
              "        \u001b[32m'tools_used'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m3.3333333333333335\u001b[0m\u001b[1m}\u001b[0m\n",
              "    \u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'response_correctness_scorer'\u001b[0m: \u001b[1m{\u001b[0m\n",
              "        \u001b[32m'response_length'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m97.66666666666667\u001b[0m\u001b[1m}\u001b[0m,\n",
              "        \u001b[32m'response_correctness'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m3.6666666666666665\u001b[0m\u001b[1m}\u001b[0m\n",
              "    \u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'trajectory_analysis_scorer'\u001b[0m: \u001b[1m{\u001b[0m\n",
              "        \u001b[32m'tools_in_trajectory'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m3.3333333333333335\u001b[0m\u001b[1m}\u001b[0m,\n",
              "        \u001b[32m'trajectory_steps'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m3.3333333333333335\u001b[0m\u001b[1m}\u001b[0m,\n",
              "        \u001b[32m'trajectory_match'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m3.3333333333333335\u001b[0m\u001b[1m}\u001b[0m\n",
              "    \u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'reasoning_quality_scorer'\u001b[0m: \u001b[1m{\u001b[0m\n",
              "        \u001b[32m'reasoning_quality'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m2.0\u001b[0m\u001b[1m}\u001b[0m,\n",
              "        \u001b[32m'reasoning_length'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m1775.3333333333333\u001b[0m\u001b[1m}\u001b[0m\n",
              "    \u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'coherence_scorer'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'coherence'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m5.0\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'model_latency'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m0.005402962366739909\u001b[0m\u001b[1m}\u001b[0m\n",
              "\u001b[1m}\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000\">✓</span> Weave evaluation complete\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[32m✓\u001b[0m Weave evaluation complete\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "<span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Results for Gemini Pro (High Temp):</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\n",
              "\u001b[1;32mResults for Gemini Pro \u001b[0m\u001b[1;32m(\u001b[0m\u001b[1;32mHigh Temp\u001b[0m\u001b[1;32m)\u001b[0m\u001b[1;32m:\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">                    Summary Metrics                    </span>\n",
              "┏━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
              "┃<span style=\"font-weight: bold\"> Metric                  </span>┃<span style=\"font-weight: bold\"> Score </span>┃<span style=\"font-weight: bold\"> Rating            </span>┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Coherence               </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 5.00  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Excellent</span><span style=\"color: #808000; text-decoration-color: #808000\">         </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Reasoning Quality       </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 2.00  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> Needs Improvement </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Response Correctness    </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 3.67  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> </span><span style=\"color: #000080; text-decoration-color: #000080\">Good</span><span style=\"color: #808000; text-decoration-color: #808000\">              </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Tool Selection Accuracy </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 2.33  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> Needs Improvement </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Trajectory Match        </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 3.33  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> Satisfactory      </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Row Count               </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 3.00  </span>│<span style=\"color: #808000; text-decoration-color: #808000\">                   </span>│\n",
              "└─────────────────────────┴───────┴───────────────────┘\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[3m                    Summary Metrics                    \u001b[0m\n",
              "┏━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
              "┃\u001b[1m \u001b[0m\u001b[1mMetric                 \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mScore\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mRating           \u001b[0m\u001b[1m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
              "│\u001b[36m \u001b[0m\u001b[36mCoherence              \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m5.00 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[1;32mExcellent\u001b[0m\u001b[33m        \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mReasoning Quality      \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m2.00 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[33mNeeds Improvement\u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mResponse Correctness   \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m3.67 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[34mGood\u001b[0m\u001b[33m             \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mTool Selection Accuracy\u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m2.33 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[33mNeeds Improvement\u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mTrajectory Match       \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m3.33 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[33mSatisfactory\u001b[0m\u001b[33m     \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mRow Count              \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m3.00 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[33m                 \u001b[0m\u001b[33m \u001b[0m│\n",
              "└─────────────────────────┴───────┴───────────────────┘\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "<span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Evaluating Gemini Flash Lite (Low Temp)...</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\n",
              "\u001b[1;34mEvaluating Gemini Flash Lite \u001b[0m\u001b[1;34m(\u001b[0m\u001b[1;34mLow Temp\u001b[0m\u001b[1;34m)\u001b[0m\u001b[1;34m...\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">─────────────────────────────────────── </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Running Agent on Evaluation Dataset</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ───────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m─────────────────────────────────────── \u001b[0m\u001b[1;36mRunning Agent on Evaluation Dataset\u001b[0m\u001b[92m ───────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Example <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Example \u001b[1;36m1\u001b[0m/\u001b[1;36m3\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Prompt: I'm looking for products in the shoes category. What do you have?\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Prompt: I'm looking for products in the shoes category. What do you have?\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">I'm looking for products in the shoes category. What do you have?</span>                                               <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ WeaveVertexAIServerModel - google/gemini-2.0-flash-lite ───────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mI'm looking for products in the shoes category. What do you have?\u001b[0m                                               \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m WeaveVertexAIServerModel - google/gemini-2.0-flash-lite \u001b[0m\u001b[38;2;212;183;2m──────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">shoes_products </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> category_browse(category</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"shoes\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                             </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(shoes_products)</span><span style=\"background-color: #272822\">                                                                                          </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mshoes_products\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcategory_browse\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcategory\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mshoes\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                             \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mshoes_products\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                          \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "{\n",
              "  \"category\": \"shoes\",\n",
              "  \"product_count\": 1,\n",
              "  \"price_range\": \"$54.11 - $54.11\",\n",
              "  \"top_products\": [\n",
              "    {\n",
              "      \"product_id\": \"product_en_0090440\",\n",
              "      \"name\": \"Shoes Item 0440\",\n",
              "      \"price\": \"$54.11\",\n",
              "      \"stock\": 73\n",
              "    }\n",
              "  ]\n",
              "}\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "{\n",
              "  \"category\": \"shoes\",\n",
              "  \"product_count\": 1,\n",
              "  \"price_range\": \"$54.11 - $54.11\",\n",
              "  \"top_products\": [\n",
              "    {\n",
              "      \"product_id\": \"product_en_0090440\",\n",
              "      \"name\": \"Shoes Item 0440\",\n",
              "      \"price\": \"$54.11\",\n",
              "      \"stock\": 73\n",
              "    }\n",
              "  ]\n",
              "}\n",
              "\n",
              "Out: None\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 2.92 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 2.92 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">final_answer(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"We have one product in the shoes category: Shoes Item 0440, priced at $54.11.\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                  </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mfinal_answer\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mWe have one product in the shoes category: Shoes Item 0440, priced at $54.11.\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                  \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Out - Final answer: We have one product in the shoes category: Shoes Item 0440, priced at $54.11.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;38;2;212;183;2mOut - Final answer: We have one product in the shoes category: Shoes Item 0440, priced at $54.11.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 2: Duration 1.02 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 2: Duration 1.02 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Example <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Example \u001b[1;36m2\u001b[0m/\u001b[1;36m3\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Prompt: Can you check the status of my order OD179190?\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Prompt: Can you check the status of my order OD179190?\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Can you check the status of my order OD179190?</span>                                                                  <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ WeaveVertexAIServerModel - google/gemini-2.0-flash-lite ───────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mCan you check the status of my order OD179190?\u001b[0m                                                                  \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m WeaveVertexAIServerModel - google/gemini-2.0-flash-lite \u001b[0m\u001b[38;2;212;183;2m──────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">order_status_result </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> order_status(order_id</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"OD179190\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                        </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(order_status_result)</span><span style=\"background-color: #272822\">                                                                                     </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34morder_status_result\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34morder_status\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34morder_id\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mOD179190\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                        \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34morder_status_result\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                     \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "{\n",
              "  \"order_id\": \"OD179190\",\n",
              "  \"customer_id\": \"reviewer_en_0852181\",\n",
              "  \"product_id\": \"product_en_0715785\",\n",
              "  \"status\": \"processing\",\n",
              "  \"order_date\": \"2025-02-19\",\n",
              "  \"delivery_date\": NaN,\n",
              "  \"estimated_delivery_date\": \"2025-02-22\",\n",
              "  \"tracking_number\": NaN,\n",
              "  \"delivery_estimate\": \"2025-02-22\"\n",
              "}\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "{\n",
              "  \"order_id\": \"OD179190\",\n",
              "  \"customer_id\": \"reviewer_en_0852181\",\n",
              "  \"product_id\": \"product_en_0715785\",\n",
              "  \"status\": \"processing\",\n",
              "  \"order_date\": \"2025-02-19\",\n",
              "  \"delivery_date\": NaN,\n",
              "  \"estimated_delivery_date\": \"2025-02-22\",\n",
              "  \"tracking_number\": NaN,\n",
              "  \"delivery_estimate\": \"2025-02-22\"\n",
              "}\n",
              "\n",
              "Out: None\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 1.17 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 1.17 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">final_answer(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">f\"The order OD179190 is currently processing and is estimated to be delivered on 2025-02-22.\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">    </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mfinal_answer\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mThe order OD179190 is currently processing and is estimated to be delivered on 2025-02-22.\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m    \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Out - Final answer: The order OD179190 is currently processing and is estimated to be delivered on 2025-02-22.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;38;2;212;183;2mOut - Final answer: The order OD179190 is currently processing and is estimated to be delivered on 2025-02-22.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 2: Duration 0.94 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 2: Duration 0.94 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Example <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Example \u001b[1;36m3\u001b[0m/\u001b[1;36m3\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Prompt: Can you show me my recent orders? My customer ID is reviewer_en_0048495\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Prompt: Can you show me my recent orders? My customer ID is reviewer_en_0048495\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Can you show me my recent orders? My customer ID is reviewer_en_0048495</span>                                         <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ WeaveVertexAIServerModel - google/gemini-2.0-flash-lite ───────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mCan you show me my recent orders? My customer ID is reviewer_en_0048495\u001b[0m                                         \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m WeaveVertexAIServerModel - google/gemini-2.0-flash-lite \u001b[0m\u001b[38;2;212;183;2m──────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">customer_id </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"reviewer_en_0048495\"</span><span style=\"background-color: #272822\">                                                                            </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">order_history </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> customer_order_history(customer_id</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">customer_id)</span><span style=\"background-color: #272822\">                                                </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(order_history)</span><span style=\"background-color: #272822\">                                                                                           </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mcustomer_id\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mreviewer_en_0048495\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[48;2;39;40;34m                                                                            \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34morder_history\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcustomer_order_history\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcustomer_id\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcustomer_id\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34morder_history\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                           \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "{\n",
              "  \"customer_id\": \"reviewer_en_0048495\",\n",
              "  \"order_count\": 1,\n",
              "  \"recent_orders\": [\n",
              "    {\n",
              "      \"order_id\": \"OD349791\",\n",
              "      \"date\": \"2024-10-24\",\n",
              "      \"status\": \"delivered\",\n",
              "      \"product_id\": \"product_en_0818466\",\n",
              "      \"delivery_date\": \"2024-10-30\"\n",
              "    }\n",
              "  ]\n",
              "}\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "{\n",
              "  \"customer_id\": \"reviewer_en_0048495\",\n",
              "  \"order_count\": 1,\n",
              "  \"recent_orders\": [\n",
              "    {\n",
              "      \"order_id\": \"OD349791\",\n",
              "      \"date\": \"2024-10-24\",\n",
              "      \"status\": \"delivered\",\n",
              "      \"product_id\": \"product_en_0818466\",\n",
              "      \"delivery_date\": \"2024-10-30\"\n",
              "    }\n",
              "  ]\n",
              "}\n",
              "\n",
              "Out: None\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 1.94 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 1.94 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">final_answer(order_history)</span><span style=\"background-color: #272822\">                                                                                    </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mfinal_answer\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34morder_history\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                    \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Out - Final answer: {</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  \"customer_id\": \"reviewer_en_0048495\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  \"order_count\": 1,</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  \"recent_orders\": [</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">    {</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"order_id\": \"OD349791\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"date\": \"2024-10-24\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"status\": \"delivered\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"product_id\": \"product_en_0818466\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"delivery_date\": \"2024-10-30\"</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">    }</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  ]</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">}</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;38;2;212;183;2mOut - Final answer: {\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  \"customer_id\": \"reviewer_en_0048495\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  \"order_count\": 1,\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  \"recent_orders\": [\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m    {\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"order_id\": \"OD349791\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"date\": \"2024-10-24\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"status\": \"delivered\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"product_id\": \"product_en_0818466\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"delivery_date\": \"2024-10-30\"\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m    }\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  ]\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m}\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 2: Duration 0.62 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 2: Duration 0.62 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────── </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Running Vertex AI Evaluation</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ───────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m────────────────────────────────────────── \u001b[0m\u001b[1;36mRunning Vertex AI Evaluation\u001b[0m\u001b[92m ───────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">────────────────────────────────────────── </span><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Running Vertex AI Evaluation</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ───────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m────────────────────────────────────────── \u001b[0m\u001b[1;34mRunning Vertex AI Evaluation\u001b[0m\u001b[92m ───────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Starting evaluation with run ID: </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1741372341</span><span style=\"color: #008080; text-decoration-color: #008080\">-735efc44</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;34mStarting evaluation with run ID: \u001b[0m\u001b[1;36m1741372341\u001b[0m\u001b[36m-735efc44\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "\n",
              "        \n",
              "    <link rel=\"stylesheet\" href=\"https://fonts.googleapis.com/icon?family=Material+Icons\">\n",
              "    <style>\n",
              "      .view-vertex-resource,\n",
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              "      .view-vertex-resource:visited {\n",
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            "Logging Eval Experiment metadata: {'model_name': 'publishers/google/models/gemini-1.5-pro'}\n",
            "Generating a total of 3 responses from Gemini model gemini-1.5-pro.\n"
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          "text": [
            "100%|██████████| 3/3 [00:03<00:00,  1.03s/it]"
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            "All 3 responses are successfully generated from Gemini model gemini-1.5-pro.\n",
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            "100%|██████████| 15/15 [00:15<00:00,  1.02s/it]"
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000\">✓</span> Saved detailed metrics to evaluation_results/<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">gemini_flash_lite_</span><span style=\"font-weight: bold\">(</span>low_temp<span style=\"font-weight: bold\">)</span><span style=\"color: #800080; text-decoration-color: #800080\">/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">detailed_metrics.csv</span>\n",
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              "\u001b[32m✓\u001b[0m Saved detailed metrics to evaluation_results/\u001b[1;35mgemini_flash_lite_\u001b[0m\u001b[1m(\u001b[0mlow_temp\u001b[1m)\u001b[0m\u001b[35m/\u001b[0m\u001b[95mdetailed_metrics.csv\u001b[0m\n"
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">                  </span><span style=\"font-weight: bold; font-style: italic\">Evaluation Results Summary</span><span style=\"font-style: italic\">                   </span>\n",
              "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━┓\n",
              "┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Metric                        </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Mean </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Median </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Min  </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Max  </span>┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━┩\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Tool Selection Accuracy/Score </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.33 </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> 3.00   </span>│<span style=\"color: #800000; text-decoration-color: #800000\"> 3.00 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 4.00 </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Reasoning Quality/Score       </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.67 </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> 5.00   </span>│<span style=\"color: #800000; text-decoration-color: #800000\"> 1.00 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 5.00 </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Response Correctness/Score    </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 4.33 </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> 5.00   </span>│<span style=\"color: #800000; text-decoration-color: #800000\"> 3.00 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 5.00 </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Trajectory Match/Score        </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 4.00 </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> 4.00   </span>│<span style=\"color: #800000; text-decoration-color: #800000\"> 4.00 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 4.00 </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Coherence/Score               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 4.67 </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> 5.00   </span>│<span style=\"color: #800000; text-decoration-color: #800000\"> 4.00 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 5.00 </span>│\n",
              "└───────────────────────────────┴──────┴────────┴──────┴──────┘\n",
              "</pre>\n"
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              "\u001b[3m                  \u001b[0m\u001b[1;3mEvaluation Results Summary\u001b[0m\u001b[3m                   \u001b[0m\n",
              "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━┓\n",
              "┃\u001b[1;36m \u001b[0m\u001b[1;36mMetric                       \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mMean\u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mMedian\u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mMin \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mMax \u001b[0m\u001b[1;36m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━┩\n",
              "│\u001b[36m \u001b[0m\u001b[36mTool Selection Accuracy/Score\u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.33\u001b[0m\u001b[32m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m3.00  \u001b[0m\u001b[34m \u001b[0m│\u001b[31m \u001b[0m\u001b[31m3.00\u001b[0m\u001b[31m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m4.00\u001b[0m\u001b[35m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mReasoning Quality/Score      \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.67\u001b[0m\u001b[32m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m5.00  \u001b[0m\u001b[34m \u001b[0m│\u001b[31m \u001b[0m\u001b[31m1.00\u001b[0m\u001b[31m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m5.00\u001b[0m\u001b[35m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mResponse Correctness/Score   \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m4.33\u001b[0m\u001b[32m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m5.00  \u001b[0m\u001b[34m \u001b[0m│\u001b[31m \u001b[0m\u001b[31m3.00\u001b[0m\u001b[31m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m5.00\u001b[0m\u001b[35m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mTrajectory Match/Score       \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m4.00\u001b[0m\u001b[32m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m4.00  \u001b[0m\u001b[34m \u001b[0m│\u001b[31m \u001b[0m\u001b[31m4.00\u001b[0m\u001b[31m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m4.00\u001b[0m\u001b[35m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mCoherence/Score              \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m4.67\u001b[0m\u001b[32m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m5.00  \u001b[0m\u001b[34m \u001b[0m│\u001b[31m \u001b[0m\u001b[31m4.00\u001b[0m\u001b[31m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m5.00\u001b[0m\u001b[35m \u001b[0m│\n",
              "└───────────────────────────────┴──────┴────────┴──────┴──────┘\n"
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          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000\">✓</span> Generated score distribution plot\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[32m✓\u001b[0m Generated score distribution plot\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000\">✓</span> Generated difficulty heatmap\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[32m✓\u001b[0m Generated difficulty heatmap\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">                                            </span><span style=\"font-weight: bold; font-style: italic\">Scores by Difficulty Level</span><span style=\"font-style: italic\">                                             </span>\n",
              "┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
              "┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">            </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">                 </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Reasoning          </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Response           </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Tool Selection     </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Trajectory        </span>┃\n",
              "┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Difficulty </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Coherence/Score </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Quality/Score      </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Correctness/Score  </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Accuracy/Score     </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Match/Score       </span>┃\n",
              "┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> easy       </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 4.67            </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.67               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 4.33               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.33               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 4.00              </span>│\n",
              "└────────────┴─────────────────┴────────────────────┴────────────────────┴────────────────────┴───────────────────┘\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[3m                                            \u001b[0m\u001b[1;3mScores by Difficulty Level\u001b[0m\u001b[3m                                             \u001b[0m\n",
              "┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
              "┃\u001b[1;36m            \u001b[0m┃\u001b[1;36m                 \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mReasoning         \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mResponse          \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mTool Selection    \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mTrajectory       \u001b[0m\u001b[1;36m \u001b[0m┃\n",
              "┃\u001b[1;36m \u001b[0m\u001b[1;36mDifficulty\u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mCoherence/Score\u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mQuality/Score     \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mCorrectness/Score \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mAccuracy/Score    \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mMatch/Score      \u001b[0m\u001b[1;36m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
              "│\u001b[36m \u001b[0m\u001b[36measy      \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m4.67           \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.67              \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m4.33              \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.33              \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m4.00             \u001b[0m\u001b[32m \u001b[0m│\n",
              "└────────────┴─────────────────┴────────────────────┴────────────────────┴────────────────────┴───────────────────┘\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">──────────────────────────────────────────────── </span><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Logging to Weave</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ─────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m──────────────────────────────────────────────── \u001b[0m\u001b[1;34mLogging to Weave\u001b[0m\u001b[92m ─────────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluated <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> examples\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Evaluated \u001b[1;36m1\u001b[0m of \u001b[1;36m3\u001b[0m examples\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluated <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span> of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> examples\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Evaluated \u001b[1;36m2\u001b[0m of \u001b[1;36m3\u001b[0m examples\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluated <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> examples\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Evaluated \u001b[1;36m3\u001b[0m of \u001b[1;36m3\u001b[0m examples\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluation summary\n",
              "<span style=\"font-weight: bold\">{</span>\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'model_output'</span>: <span style=\"font-weight: bold\">{</span>\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'vertex_metrics'</span>: <span style=\"font-weight: bold\">{</span>\n",
              "            <span style=\"color: #008000; text-decoration-color: #008000\">'tool_selection_accuracy/score'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.3333333333333335</span><span style=\"font-weight: bold\">}</span>,\n",
              "            <span style=\"color: #008000; text-decoration-color: #008000\">'trajectory_match/score'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.0</span><span style=\"font-weight: bold\">}</span>,\n",
              "            <span style=\"color: #008000; text-decoration-color: #008000\">'response_correctness/score'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.333333333333333</span><span style=\"font-weight: bold\">}</span>,\n",
              "            <span style=\"color: #008000; text-decoration-color: #008000\">'reasoning_quality/score'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.6666666666666665</span><span style=\"font-weight: bold\">}</span>,\n",
              "            <span style=\"color: #008000; text-decoration-color: #008000\">'coherence/score'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.666666666666667</span><span style=\"font-weight: bold\">}</span>\n",
              "        <span style=\"font-weight: bold\">}</span>\n",
              "    <span style=\"font-weight: bold\">}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'tool_selection_scorer'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'tool_selection'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.3333333333333335</span><span style=\"font-weight: bold\">}</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'tools_used'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.0</span><span style=\"font-weight: bold\">}}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'response_correctness_scorer'</span>: <span style=\"font-weight: bold\">{</span>\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'response_length'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">144.0</span><span style=\"font-weight: bold\">}</span>,\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'response_correctness'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.333333333333333</span><span style=\"font-weight: bold\">}</span>\n",
              "    <span style=\"font-weight: bold\">}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'trajectory_analysis_scorer'</span>: <span style=\"font-weight: bold\">{</span>\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'tools_in_trajectory'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.0</span><span style=\"font-weight: bold\">}</span>,\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'trajectory_steps'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.0</span><span style=\"font-weight: bold\">}</span>,\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'trajectory_match'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.0</span><span style=\"font-weight: bold\">}</span>\n",
              "    <span style=\"font-weight: bold\">}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'reasoning_quality_scorer'</span>: <span style=\"font-weight: bold\">{</span>\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'reasoning_quality'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.6666666666666665</span><span style=\"font-weight: bold\">}</span>,\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'reasoning_length'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">405.3333333333333</span><span style=\"font-weight: bold\">}</span>\n",
              "    <span style=\"font-weight: bold\">}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'coherence_scorer'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'coherence'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.666666666666667</span><span style=\"font-weight: bold\">}}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'model_latency'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.004370292027791341</span><span style=\"font-weight: bold\">}</span>\n",
              "<span style=\"font-weight: bold\">}</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Evaluation summary\n",
              "\u001b[1m{\u001b[0m\n",
              "    \u001b[32m'model_output'\u001b[0m: \u001b[1m{\u001b[0m\n",
              "        \u001b[32m'vertex_metrics'\u001b[0m: \u001b[1m{\u001b[0m\n",
              "            \u001b[32m'tool_selection_accuracy/score'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m3.3333333333333335\u001b[0m\u001b[1m}\u001b[0m,\n",
              "            \u001b[32m'trajectory_match/score'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m4.0\u001b[0m\u001b[1m}\u001b[0m,\n",
              "            \u001b[32m'response_correctness/score'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m4.333333333333333\u001b[0m\u001b[1m}\u001b[0m,\n",
              "            \u001b[32m'reasoning_quality/score'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m3.6666666666666665\u001b[0m\u001b[1m}\u001b[0m,\n",
              "            \u001b[32m'coherence/score'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m4.666666666666667\u001b[0m\u001b[1m}\u001b[0m\n",
              "        \u001b[1m}\u001b[0m\n",
              "    \u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'tool_selection_scorer'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'tool_selection'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m3.3333333333333335\u001b[0m\u001b[1m}\u001b[0m, \u001b[32m'tools_used'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m2.0\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'response_correctness_scorer'\u001b[0m: \u001b[1m{\u001b[0m\n",
              "        \u001b[32m'response_length'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m144.0\u001b[0m\u001b[1m}\u001b[0m,\n",
              "        \u001b[32m'response_correctness'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m4.333333333333333\u001b[0m\u001b[1m}\u001b[0m\n",
              "    \u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'trajectory_analysis_scorer'\u001b[0m: \u001b[1m{\u001b[0m\n",
              "        \u001b[32m'tools_in_trajectory'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m2.0\u001b[0m\u001b[1m}\u001b[0m,\n",
              "        \u001b[32m'trajectory_steps'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m2.0\u001b[0m\u001b[1m}\u001b[0m,\n",
              "        \u001b[32m'trajectory_match'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m4.0\u001b[0m\u001b[1m}\u001b[0m\n",
              "    \u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'reasoning_quality_scorer'\u001b[0m: \u001b[1m{\u001b[0m\n",
              "        \u001b[32m'reasoning_quality'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m3.6666666666666665\u001b[0m\u001b[1m}\u001b[0m,\n",
              "        \u001b[32m'reasoning_length'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m405.3333333333333\u001b[0m\u001b[1m}\u001b[0m\n",
              "    \u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'coherence_scorer'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'coherence'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m4.666666666666667\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'model_latency'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m0.004370292027791341\u001b[0m\u001b[1m}\u001b[0m\n",
              "\u001b[1m}\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000\">✓</span> Weave evaluation complete\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[32m✓\u001b[0m Weave evaluation complete\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "<span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Results for Gemini Flash Lite (Low Temp):</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\n",
              "\u001b[1;32mResults for Gemini Flash Lite \u001b[0m\u001b[1;32m(\u001b[0m\u001b[1;32mLow Temp\u001b[0m\u001b[1;32m)\u001b[0m\u001b[1;32m:\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">                 Summary Metrics                  </span>\n",
              "┏━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━┓\n",
              "┃<span style=\"font-weight: bold\"> Metric                  </span>┃<span style=\"font-weight: bold\"> Score </span>┃<span style=\"font-weight: bold\"> Rating       </span>┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━┩\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Coherence               </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 4.67  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Excellent</span><span style=\"color: #808000; text-decoration-color: #808000\">    </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Reasoning Quality       </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 3.67  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> </span><span style=\"color: #000080; text-decoration-color: #000080\">Good</span><span style=\"color: #808000; text-decoration-color: #808000\">         </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Response Correctness    </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 4.33  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> </span><span style=\"color: #008000; text-decoration-color: #008000\">Very Good</span><span style=\"color: #808000; text-decoration-color: #808000\">    </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Tool Selection Accuracy </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 3.33  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> Satisfactory </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Trajectory Match        </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 4.00  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> </span><span style=\"color: #008000; text-decoration-color: #008000\">Very Good</span><span style=\"color: #808000; text-decoration-color: #808000\">    </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Row Count               </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 3.00  </span>│<span style=\"color: #808000; text-decoration-color: #808000\">              </span>│\n",
              "└─────────────────────────┴───────┴──────────────┘\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[3m                 Summary Metrics                  \u001b[0m\n",
              "┏━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━┓\n",
              "┃\u001b[1m \u001b[0m\u001b[1mMetric                 \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mScore\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mRating      \u001b[0m\u001b[1m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━┩\n",
              "│\u001b[36m \u001b[0m\u001b[36mCoherence              \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m4.67 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[1;32mExcellent\u001b[0m\u001b[33m   \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mReasoning Quality      \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m3.67 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[34mGood\u001b[0m\u001b[33m        \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mResponse Correctness   \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m4.33 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[32mVery Good\u001b[0m\u001b[33m   \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mTool Selection Accuracy\u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m3.33 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[33mSatisfactory\u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mTrajectory Match       \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m4.00 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[32mVery Good\u001b[0m\u001b[33m   \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mRow Count              \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m3.00 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[33m            \u001b[0m\u001b[33m \u001b[0m│\n",
              "└─────────────────────────┴───────┴──────────────┘\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "<span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Evaluating Gemini Flash Lite (High Temp)...</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\n",
              "\u001b[1;34mEvaluating Gemini Flash Lite \u001b[0m\u001b[1;34m(\u001b[0m\u001b[1;34mHigh Temp\u001b[0m\u001b[1;34m)\u001b[0m\u001b[1;34m...\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">─────────────────────────────────────── </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Running Agent on Evaluation Dataset</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ───────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m─────────────────────────────────────── \u001b[0m\u001b[1;36mRunning Agent on Evaluation Dataset\u001b[0m\u001b[92m ───────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Example <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Example \u001b[1;36m1\u001b[0m/\u001b[1;36m3\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Prompt: I'm looking for products in the shoes category. What do you have?\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Prompt: I'm looking for products in the shoes category. What do you have?\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">I'm looking for products in the shoes category. What do you have?</span>                                               <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ WeaveVertexAIServerModel - google/gemini-2.0-flash-lite ───────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mI'm looking for products in the shoes category. What do you have?\u001b[0m                                               \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m WeaveVertexAIServerModel - google/gemini-2.0-flash-lite \u001b[0m\u001b[38;2;212;183;2m──────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">shoes_products </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> category_browse(category</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"shoes\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                             </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(shoes_products)</span><span style=\"background-color: #272822\">                                                                                          </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mshoes_products\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcategory_browse\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcategory\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mshoes\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                             \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mshoes_products\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                          \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "{\n",
              "  \"category\": \"shoes\",\n",
              "  \"product_count\": 1,\n",
              "  \"price_range\": \"$54.11 - $54.11\",\n",
              "  \"top_products\": [\n",
              "    {\n",
              "      \"product_id\": \"product_en_0090440\",\n",
              "      \"name\": \"Shoes Item 0440\",\n",
              "      \"price\": \"$54.11\",\n",
              "      \"stock\": 73\n",
              "    }\n",
              "  ]\n",
              "}\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "{\n",
              "  \"category\": \"shoes\",\n",
              "  \"product_count\": 1,\n",
              "  \"price_range\": \"$54.11 - $54.11\",\n",
              "  \"top_products\": [\n",
              "    {\n",
              "      \"product_id\": \"product_en_0090440\",\n",
              "      \"name\": \"Shoes Item 0440\",\n",
              "      \"price\": \"$54.11\",\n",
              "      \"stock\": 73\n",
              "    }\n",
              "  ]\n",
              "}\n",
              "\n",
              "Out: None\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 1.11 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 1.11 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">final_answer(shoes_products)</span><span style=\"background-color: #272822\">                                                                                   </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mfinal_answer\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mshoes_products\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                   \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Out - Final answer: {</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  \"category\": \"shoes\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  \"product_count\": 1,</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  \"price_range\": \"$54.11 - $54.11\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  \"top_products\": [</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">    {</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"product_id\": \"product_en_0090440\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"name\": \"Shoes Item 0440\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"price\": \"$54.11\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"stock\": 73</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">    }</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  ]</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">}</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;38;2;212;183;2mOut - Final answer: {\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  \"category\": \"shoes\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  \"product_count\": 1,\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  \"price_range\": \"$54.11 - $54.11\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  \"top_products\": [\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m    {\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"product_id\": \"product_en_0090440\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"name\": \"Shoes Item 0440\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"price\": \"$54.11\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"stock\": 73\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m    }\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  ]\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m}\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 2: Duration 0.72 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 2: Duration 0.72 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Example <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Example \u001b[1;36m2\u001b[0m/\u001b[1;36m3\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Prompt: Can you check the status of my order OD179190?\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Prompt: Can you check the status of my order OD179190?\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Can you check the status of my order OD179190?</span>                                                                  <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ WeaveVertexAIServerModel - google/gemini-2.0-flash-lite ───────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mCan you check the status of my order OD179190?\u001b[0m                                                                  \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m WeaveVertexAIServerModel - google/gemini-2.0-flash-lite \u001b[0m\u001b[38;2;212;183;2m──────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">order_status_result </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> order_status(order_id</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"OD179190\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                        </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(order_status_result)</span><span style=\"background-color: #272822\">                                                                                     </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34morder_status_result\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34morder_status\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34morder_id\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mOD179190\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                        \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34morder_status_result\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                     \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "{\n",
              "  \"order_id\": \"OD179190\",\n",
              "  \"customer_id\": \"reviewer_en_0852181\",\n",
              "  \"product_id\": \"product_en_0715785\",\n",
              "  \"status\": \"processing\",\n",
              "  \"order_date\": \"2025-02-19\",\n",
              "  \"delivery_date\": NaN,\n",
              "  \"estimated_delivery_date\": \"2025-02-22\",\n",
              "  \"tracking_number\": NaN,\n",
              "  \"delivery_estimate\": \"2025-02-22\"\n",
              "}\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "{\n",
              "  \"order_id\": \"OD179190\",\n",
              "  \"customer_id\": \"reviewer_en_0852181\",\n",
              "  \"product_id\": \"product_en_0715785\",\n",
              "  \"status\": \"processing\",\n",
              "  \"order_date\": \"2025-02-19\",\n",
              "  \"delivery_date\": NaN,\n",
              "  \"estimated_delivery_date\": \"2025-02-22\",\n",
              "  \"tracking_number\": NaN,\n",
              "  \"delivery_estimate\": \"2025-02-22\"\n",
              "}\n",
              "\n",
              "Out: None\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 1.09 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 1.09 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">final_answer(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"The order OD179190 is currently processing and is estimated to be delivered on 2025-02-22.\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">     </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mfinal_answer\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mThe order OD179190 is currently processing and is estimated to be delivered on 2025-02-22.\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m     \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Out - Final answer: The order OD179190 is currently processing and is estimated to be delivered on 2025-02-22.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;38;2;212;183;2mOut - Final answer: The order OD179190 is currently processing and is estimated to be delivered on 2025-02-22.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 2: Duration 0.89 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 2: Duration 0.89 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Example <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Example \u001b[1;36m3\u001b[0m/\u001b[1;36m3\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Prompt: Can you show me my recent orders? My customer ID is reviewer_en_0048495\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Prompt: Can you show me my recent orders? My customer ID is reviewer_en_0048495\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Can you show me my recent orders? My customer ID is reviewer_en_0048495</span>                                         <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ WeaveVertexAIServerModel - google/gemini-2.0-flash-lite ───────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mCan you show me my recent orders? My customer ID is reviewer_en_0048495\u001b[0m                                         \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m WeaveVertexAIServerModel - google/gemini-2.0-flash-lite \u001b[0m\u001b[38;2;212;183;2m──────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">customer_id </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"reviewer_en_0048495\"</span><span style=\"background-color: #272822\">                                                                            </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">order_history </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> customer_order_history(customer_id</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">customer_id)</span><span style=\"background-color: #272822\">                                                </span>  \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(order_history)</span><span style=\"background-color: #272822\">                                                                                           </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mcustomer_id\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mreviewer_en_0048495\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[48;2;39;40;34m                                                                            \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34morder_history\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcustomer_order_history\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcustomer_id\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcustomer_id\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                \u001b[0m  \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34morder_history\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                           \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
              "{\n",
              "  \"customer_id\": \"reviewer_en_0048495\",\n",
              "  \"order_count\": 1,\n",
              "  \"recent_orders\": [\n",
              "    {\n",
              "      \"order_id\": \"OD349791\",\n",
              "      \"date\": \"2024-10-24\",\n",
              "      \"status\": \"delivered\",\n",
              "      \"product_id\": \"product_en_0818466\",\n",
              "      \"delivery_date\": \"2024-10-30\"\n",
              "    }\n",
              "  ]\n",
              "}\n",
              "\n",
              "Out: None\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mExecution logs:\u001b[0m\n",
              "{\n",
              "  \"customer_id\": \"reviewer_en_0048495\",\n",
              "  \"order_count\": 1,\n",
              "  \"recent_orders\": [\n",
              "    {\n",
              "      \"order_id\": \"OD349791\",\n",
              "      \"date\": \"2024-10-24\",\n",
              "      \"status\": \"delivered\",\n",
              "      \"product_id\": \"product_en_0818466\",\n",
              "      \"delivery_date\": \"2024-10-30\"\n",
              "    }\n",
              "  ]\n",
              "}\n",
              "\n",
              "Out: None\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 2.79 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 2.79 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"> ─ <span style=\"font-weight: bold\">Executing parsed code:</span> ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  <span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">final_answer(order_history)</span><span style=\"background-color: #272822\">                                                                                    </span>  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
              "</pre>\n"
            ],
            "text/plain": [
              " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n",
              "  \u001b[38;2;248;248;242;48;2;39;40;34mfinal_answer\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34morder_history\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                    \u001b[0m  \n",
              " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Out - Final answer: {</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  \"customer_id\": \"reviewer_en_0048495\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  \"order_count\": 1,</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  \"recent_orders\": [</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">    {</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"order_id\": \"OD349791\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"date\": \"2024-10-24\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"status\": \"delivered\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"product_id\": \"product_en_0818466\",</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">      \"delivery_date\": \"2024-10-30\"</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">    }</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">  ]</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">}</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;38;2;212;183;2mOut - Final answer: {\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  \"customer_id\": \"reviewer_en_0048495\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  \"order_count\": 1,\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  \"recent_orders\": [\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m    {\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"order_id\": \"OD349791\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"date\": \"2024-10-24\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"status\": \"delivered\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"product_id\": \"product_en_0818466\",\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m      \"delivery_date\": \"2024-10-30\"\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m    }\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m  ]\u001b[0m\n",
              "\u001b[1;38;2;212;183;2m}\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
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              "\u001b[92m────────────────────────────────────────── \u001b[0m\u001b[1;34mRunning Vertex AI Evaluation\u001b[0m\u001b[92m ───────────────────────────────────────────\u001b[0m\n"
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            "Associating projects/321878019554/locations/us-central1/metadataStores/default/contexts/agent-evaluation-agent-eval-run-1741372371-b561af27 to Experiment: agent-evaluation\n"
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            "Logging Eval Experiment metadata: {'model_name': 'publishers/google/models/gemini-1.5-pro'}\n",
            "Generating a total of 3 responses from Gemini model gemini-1.5-pro.\n"
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          "text": [
            "100%|██████████| 3/3 [00:02<00:00,  1.07it/s]"
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            "All 3 responses are successfully generated from Gemini model gemini-1.5-pro.\n",
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            "Computing metrics with a total of 15 Vertex Gen AI Evaluation Service API requests.\n"
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            "100%|██████████| 15/15 [00:14<00:00,  1.00it/s]"
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">                  </span><span style=\"font-weight: bold; font-style: italic\">Evaluation Results Summary</span><span style=\"font-style: italic\">                   </span>\n",
              "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━┓\n",
              "┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Metric                        </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Mean </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Median </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Min  </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Max  </span>┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━┩\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Tool Selection Accuracy/Score </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 4.00 </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> 4.00   </span>│<span style=\"color: #800000; text-decoration-color: #800000\"> 3.00 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 5.00 </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Reasoning Quality/Score       </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.67 </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> 5.00   </span>│<span style=\"color: #800000; text-decoration-color: #800000\"> 1.00 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 5.00 </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Response Correctness/Score    </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 5.00 </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> 5.00   </span>│<span style=\"color: #800000; text-decoration-color: #800000\"> 5.00 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 5.00 </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Trajectory Match/Score        </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 4.00 </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> 4.00   </span>│<span style=\"color: #800000; text-decoration-color: #800000\"> 4.00 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 4.00 </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Coherence/Score               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 5.00 </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> 5.00   </span>│<span style=\"color: #800000; text-decoration-color: #800000\"> 5.00 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 5.00 </span>│\n",
              "└───────────────────────────────┴──────┴────────┴──────┴──────┘\n",
              "</pre>\n"
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              "\u001b[3m                  \u001b[0m\u001b[1;3mEvaluation Results Summary\u001b[0m\u001b[3m                   \u001b[0m\n",
              "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━┓\n",
              "┃\u001b[1;36m \u001b[0m\u001b[1;36mMetric                       \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mMean\u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mMedian\u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mMin \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mMax \u001b[0m\u001b[1;36m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━┩\n",
              "│\u001b[36m \u001b[0m\u001b[36mTool Selection Accuracy/Score\u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m4.00\u001b[0m\u001b[32m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m4.00  \u001b[0m\u001b[34m \u001b[0m│\u001b[31m \u001b[0m\u001b[31m3.00\u001b[0m\u001b[31m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m5.00\u001b[0m\u001b[35m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mReasoning Quality/Score      \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.67\u001b[0m\u001b[32m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m5.00  \u001b[0m\u001b[34m \u001b[0m│\u001b[31m \u001b[0m\u001b[31m1.00\u001b[0m\u001b[31m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m5.00\u001b[0m\u001b[35m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mResponse Correctness/Score   \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m5.00\u001b[0m\u001b[32m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m5.00  \u001b[0m\u001b[34m \u001b[0m│\u001b[31m \u001b[0m\u001b[31m5.00\u001b[0m\u001b[31m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m5.00\u001b[0m\u001b[35m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mTrajectory Match/Score       \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m4.00\u001b[0m\u001b[32m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m4.00  \u001b[0m\u001b[34m \u001b[0m│\u001b[31m \u001b[0m\u001b[31m4.00\u001b[0m\u001b[31m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m4.00\u001b[0m\u001b[35m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mCoherence/Score              \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m5.00\u001b[0m\u001b[32m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m5.00  \u001b[0m\u001b[34m \u001b[0m│\u001b[31m \u001b[0m\u001b[31m5.00\u001b[0m\u001b[31m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m5.00\u001b[0m\u001b[35m \u001b[0m│\n",
              "└───────────────────────────────┴──────┴────────┴──────┴──────┘\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000\">✓</span> Generated score distribution plot\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[32m✓\u001b[0m Generated score distribution plot\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000\">✓</span> Generated difficulty heatmap\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[32m✓\u001b[0m Generated difficulty heatmap\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">                                            </span><span style=\"font-weight: bold; font-style: italic\">Scores by Difficulty Level</span><span style=\"font-style: italic\">                                             </span>\n",
              "┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
              "┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">            </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">                 </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Reasoning          </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Response           </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Tool Selection     </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Trajectory        </span>┃\n",
              "┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Difficulty </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Coherence/Score </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Quality/Score      </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Correctness/Score  </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Accuracy/Score     </span>┃<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\"> Match/Score       </span>┃\n",
              "┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> easy       </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 5.00            </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.67               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 5.00               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 4.00               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 4.00              </span>│\n",
              "└────────────┴─────────────────┴────────────────────┴────────────────────┴────────────────────┴───────────────────┘\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[3m                                            \u001b[0m\u001b[1;3mScores by Difficulty Level\u001b[0m\u001b[3m                                             \u001b[0m\n",
              "┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
              "┃\u001b[1;36m            \u001b[0m┃\u001b[1;36m                 \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mReasoning         \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mResponse          \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mTool Selection    \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mTrajectory       \u001b[0m\u001b[1;36m \u001b[0m┃\n",
              "┃\u001b[1;36m \u001b[0m\u001b[1;36mDifficulty\u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mCoherence/Score\u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mQuality/Score     \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mCorrectness/Score \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mAccuracy/Score    \u001b[0m\u001b[1;36m \u001b[0m┃\u001b[1;36m \u001b[0m\u001b[1;36mMatch/Score      \u001b[0m\u001b[1;36m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
              "│\u001b[36m \u001b[0m\u001b[36measy      \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m5.00           \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.67              \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m5.00              \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m4.00              \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m4.00             \u001b[0m\u001b[32m \u001b[0m│\n",
              "└────────────┴─────────────────┴────────────────────┴────────────────────┴────────────────────┴───────────────────┘\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">──────────────────────────────────────────────── </span><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Logging to Weave</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ─────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
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              "\u001b[92m──────────────────────────────────────────────── \u001b[0m\u001b[1;34mLogging to Weave\u001b[0m\u001b[92m ─────────────────────────────────────────────────\u001b[0m\n"
            ]
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          "metadata": {},
          "output_type": "display_data"
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluated <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> examples\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Evaluated \u001b[1;36m1\u001b[0m of \u001b[1;36m3\u001b[0m examples\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluated <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span> of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> examples\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Evaluated \u001b[1;36m2\u001b[0m of \u001b[1;36m3\u001b[0m examples\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluated <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> examples\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Evaluated \u001b[1;36m3\u001b[0m of \u001b[1;36m3\u001b[0m examples\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluation summary\n",
              "<span style=\"font-weight: bold\">{</span>\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'model_output'</span>: <span style=\"font-weight: bold\">{</span>\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'vertex_metrics'</span>: <span style=\"font-weight: bold\">{</span>\n",
              "            <span style=\"color: #008000; text-decoration-color: #008000\">'tool_selection_accuracy/score'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.0</span><span style=\"font-weight: bold\">}</span>,\n",
              "            <span style=\"color: #008000; text-decoration-color: #008000\">'trajectory_match/score'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.0</span><span style=\"font-weight: bold\">}</span>,\n",
              "            <span style=\"color: #008000; text-decoration-color: #008000\">'response_correctness/score'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.0</span><span style=\"font-weight: bold\">}</span>,\n",
              "            <span style=\"color: #008000; text-decoration-color: #008000\">'reasoning_quality/score'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.6666666666666665</span><span style=\"font-weight: bold\">}</span>,\n",
              "            <span style=\"color: #008000; text-decoration-color: #008000\">'coherence/score'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.0</span><span style=\"font-weight: bold\">}</span>\n",
              "        <span style=\"font-weight: bold\">}</span>\n",
              "    <span style=\"font-weight: bold\">}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'tool_selection_scorer'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'tool_selection'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.0</span><span style=\"font-weight: bold\">}</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'tools_used'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.0</span><span style=\"font-weight: bold\">}}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'response_correctness_scorer'</span>: <span style=\"font-weight: bold\">{</span>\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'response_length'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">197.66666666666666</span><span style=\"font-weight: bold\">}</span>,\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'response_correctness'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.0</span><span style=\"font-weight: bold\">}</span>\n",
              "    <span style=\"font-weight: bold\">}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'trajectory_analysis_scorer'</span>: <span style=\"font-weight: bold\">{</span>\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'tools_in_trajectory'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.0</span><span style=\"font-weight: bold\">}</span>,\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'trajectory_steps'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.0</span><span style=\"font-weight: bold\">}</span>,\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'trajectory_match'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.0</span><span style=\"font-weight: bold\">}</span>\n",
              "    <span style=\"font-weight: bold\">}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'reasoning_quality_scorer'</span>: <span style=\"font-weight: bold\">{</span>\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'reasoning_quality'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.6666666666666665</span><span style=\"font-weight: bold\">}</span>,\n",
              "        <span style=\"color: #008000; text-decoration-color: #008000\">'reasoning_length'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">406.0</span><span style=\"font-weight: bold\">}</span>\n",
              "    <span style=\"font-weight: bold\">}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'coherence_scorer'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'coherence'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.0</span><span style=\"font-weight: bold\">}}</span>,\n",
              "    <span style=\"color: #008000; text-decoration-color: #008000\">'model_latency'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.009531656901041666</span><span style=\"font-weight: bold\">}</span>\n",
              "<span style=\"font-weight: bold\">}</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "Evaluation summary\n",
              "\u001b[1m{\u001b[0m\n",
              "    \u001b[32m'model_output'\u001b[0m: \u001b[1m{\u001b[0m\n",
              "        \u001b[32m'vertex_metrics'\u001b[0m: \u001b[1m{\u001b[0m\n",
              "            \u001b[32m'tool_selection_accuracy/score'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m4.0\u001b[0m\u001b[1m}\u001b[0m,\n",
              "            \u001b[32m'trajectory_match/score'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m4.0\u001b[0m\u001b[1m}\u001b[0m,\n",
              "            \u001b[32m'response_correctness/score'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m5.0\u001b[0m\u001b[1m}\u001b[0m,\n",
              "            \u001b[32m'reasoning_quality/score'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m3.6666666666666665\u001b[0m\u001b[1m}\u001b[0m,\n",
              "            \u001b[32m'coherence/score'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m5.0\u001b[0m\u001b[1m}\u001b[0m\n",
              "        \u001b[1m}\u001b[0m\n",
              "    \u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'tool_selection_scorer'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'tool_selection'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m4.0\u001b[0m\u001b[1m}\u001b[0m, \u001b[32m'tools_used'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m2.0\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'response_correctness_scorer'\u001b[0m: \u001b[1m{\u001b[0m\n",
              "        \u001b[32m'response_length'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m197.66666666666666\u001b[0m\u001b[1m}\u001b[0m,\n",
              "        \u001b[32m'response_correctness'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m5.0\u001b[0m\u001b[1m}\u001b[0m\n",
              "    \u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'trajectory_analysis_scorer'\u001b[0m: \u001b[1m{\u001b[0m\n",
              "        \u001b[32m'tools_in_trajectory'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m2.0\u001b[0m\u001b[1m}\u001b[0m,\n",
              "        \u001b[32m'trajectory_steps'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m2.0\u001b[0m\u001b[1m}\u001b[0m,\n",
              "        \u001b[32m'trajectory_match'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m4.0\u001b[0m\u001b[1m}\u001b[0m\n",
              "    \u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'reasoning_quality_scorer'\u001b[0m: \u001b[1m{\u001b[0m\n",
              "        \u001b[32m'reasoning_quality'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m3.6666666666666665\u001b[0m\u001b[1m}\u001b[0m,\n",
              "        \u001b[32m'reasoning_length'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m406.0\u001b[0m\u001b[1m}\u001b[0m\n",
              "    \u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'coherence_scorer'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'coherence'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m5.0\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n",
              "    \u001b[32m'model_latency'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m0.009531656901041666\u001b[0m\u001b[1m}\u001b[0m\n",
              "\u001b[1m}\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000\">✓</span> Weave evaluation complete\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[32m✓\u001b[0m Weave evaluation complete\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "<span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Results for Gemini Flash Lite (High Temp):</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\n",
              "\u001b[1;32mResults for Gemini Flash Lite \u001b[0m\u001b[1;32m(\u001b[0m\u001b[1;32mHigh Temp\u001b[0m\u001b[1;32m)\u001b[0m\u001b[1;32m:\u001b[0m\n"
            ]
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          "output_type": "display_data"
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">                Summary Metrics                </span>\n",
              "┏━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━┓\n",
              "┃<span style=\"font-weight: bold\"> Metric                  </span>┃<span style=\"font-weight: bold\"> Score </span>┃<span style=\"font-weight: bold\"> Rating    </span>┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━┩\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Coherence               </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 5.00  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Excellent</span><span style=\"color: #808000; text-decoration-color: #808000\"> </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Reasoning Quality       </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 3.67  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> </span><span style=\"color: #000080; text-decoration-color: #000080\">Good</span><span style=\"color: #808000; text-decoration-color: #808000\">      </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Response Correctness    </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 5.00  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Excellent</span><span style=\"color: #808000; text-decoration-color: #808000\"> </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Tool Selection Accuracy </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 4.00  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> </span><span style=\"color: #008000; text-decoration-color: #008000\">Very Good</span><span style=\"color: #808000; text-decoration-color: #808000\"> </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Trajectory Match        </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 4.00  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> </span><span style=\"color: #008000; text-decoration-color: #008000\">Very Good</span><span style=\"color: #808000; text-decoration-color: #808000\"> </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Row Count               </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 3.00  </span>│<span style=\"color: #808000; text-decoration-color: #808000\">           </span>│\n",
              "└─────────────────────────┴───────┴───────────┘\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[3m                Summary Metrics                \u001b[0m\n",
              "┏━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━┓\n",
              "┃\u001b[1m \u001b[0m\u001b[1mMetric                 \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mScore\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mRating   \u001b[0m\u001b[1m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━┩\n",
              "│\u001b[36m \u001b[0m\u001b[36mCoherence              \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m5.00 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[1;32mExcellent\u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mReasoning Quality      \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m3.67 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[34mGood\u001b[0m\u001b[33m     \u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mResponse Correctness   \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m5.00 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[1;32mExcellent\u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mTool Selection Accuracy\u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m4.00 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[32mVery Good\u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mTrajectory Match       \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m4.00 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[32mVery Good\u001b[0m\u001b[33m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mRow Count              \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m3.00 \u001b[0m\u001b[35m \u001b[0m│\u001b[33m \u001b[0m\u001b[33m         \u001b[0m\u001b[33m \u001b[0m│\n",
              "└─────────────────────────┴───────┴───────────┘\n"
            ]
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              "<Figure size 1000x600 with 2 Axes>"
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      ],
      "source": [
        "@weave.op()\n",
        "def evaluate_model_config(\n",
        "    config: dict[str, Any], eval_dataset: list[dict[str, Any]]\n",
        ") -> dict[str, Any]:\n",
        "    \"\"\"Evaluate a specific model configuration and return results\"\"\"\n",
        "    console.print(f\"\\n[bold blue]Evaluating {config['name']}...[/bold blue]\")\n",
        "\n",
        "    # Create agent with this configuration\n",
        "    agent = create_customer_support_agent(\n",
        "        use_weave=True,\n",
        "        model_id=config[\"model_id\"],\n",
        "        temperature=config[\"temperature\"],\n",
        "        planning_interval=config.get(\"planning_interval\", 1),\n",
        "        max_steps=config.get(\"max_steps\", 5),\n",
        "    )\n",
        "\n",
        "    # Run evaluation with the agent object directly\n",
        "    results = evaluator.run_evaluation(\n",
        "        agent=agent,\n",
        "        eval_dataset=eval_dataset,\n",
        "        output_dir=f\"evaluation_results/{config['name'].replace(' ', '_').lower()}\",\n",
        "        weave_project=WEAVE_PROJECT_NAME,\n",
        "    )\n",
        "\n",
        "    # Add configuration details to results\n",
        "    results[\"config\"] = config\n",
        "\n",
        "    return results\n",
        "\n",
        "\n",
        "# Run evaluations for all configurations\n",
        "all_results = []\n",
        "for config in model_configs:\n",
        "    results = evaluate_model_config(config, eval_dataset)\n",
        "    all_results.append(results)\n",
        "\n",
        "    # Display summary results\n",
        "    console.print(f\"\\n[bold green]Results for {config['name']}:[/bold green]\")\n",
        "    if \"summary_metrics\" in results and results[\"summary_metrics\"]:\n",
        "        table = evaluator._render_summary_table(results[\"summary_metrics\"])\n",
        "        console.print(table)\n",
        "    else:\n",
        "        console.print(\"[yellow]No summary metrics available[/yellow]\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "c865bdb69818"
      },
      "source": [
        "# Navigate to Weave to compare results!!\n",
        "\n",
        "Go to the project set in `WEAVE_PROJECT_NAME` in `config.py`"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "a40fb886b29b"
      },
      "source": [
        "# Analyzing Model Performance Patterns\n",
        "\n",
        "After running evaluations on different model configurations, we analyze the results to uncover key patterns and insights.\n",
        "\n",
        "## Response Quality by Model Type\n",
        "\n",
        "We compare how Gemini Pro and Gemini Flash Lite perform on response quality metrics. The analysis reveals which model provides more accurate and helpful customer support responses across our test cases.\n",
        "\n",
        "## Impact of Temperature Settings\n",
        "\n",
        "By examining how temperature affects performance, we can determine whether lower temperatures (0.2) produce more consistent, reliable responses or if higher temperatures (0.7) generate more helpful, creative solutions for customer queries.\n",
        "\n",
        "## Performance Across Query Difficulty\n",
        "\n",
        "We analyze how different models handle queries of varying complexity:\n",
        "- Which model excels at simple, straightforward questions?\n",
        "- Which configuration best handles complex, multi-part customer issues?\n",
        "- Are there specific difficulty levels where one model significantly outperforms others?\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "id": "aab710becbba"
      },
      "outputs": [
        {
          "data": {
            "image/png": "[encoded data, 38708 characters]",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">──────────────────────────────────────────── </span><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">Model Performance Summary</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m──────────────────────────────────────────── \u001b[0m\u001b[1;35mModel Performance Summary\u001b[0m\u001b[92m ────────────────────────────────────────────\u001b[0m\n"
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          "data": {
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">                                             All Metrics by Model Type                                             </span>\n",
              "┏━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓\n",
              "┃<span style=\"font-weight: bold\">                  </span>┃<span style=\"font-weight: bold\">                 </span>┃<span style=\"font-weight: bold\"> Reasoning        </span>┃<span style=\"font-weight: bold\"> Response         </span>┃<span style=\"font-weight: bold\"> Tool Selection    </span>┃<span style=\"font-weight: bold\"> Trajectory       </span>┃\n",
              "┃<span style=\"font-weight: bold\"> Model            </span>┃<span style=\"font-weight: bold\"> Coherence/Score </span>┃<span style=\"font-weight: bold\"> Quality/Score    </span>┃<span style=\"font-weight: bold\"> Correctness/Sco… </span>┃<span style=\"font-weight: bold\"> Accuracy/Score    </span>┃<span style=\"font-weight: bold\"> Match/Score      </span>┃\n",
              "┡━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Gemini Pro       </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 4.83            </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 1.50             </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 2.67             </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 2.67              </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.33             </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Gemini Flash     </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 4.83            </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.67             </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 4.67             </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.67              </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 4.00             </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Lite             </span>│<span style=\"color: #008000; text-decoration-color: #008000\">                 </span>│<span style=\"color: #008000; text-decoration-color: #008000\">                  </span>│<span style=\"color: #008000; text-decoration-color: #008000\">                  </span>│<span style=\"color: #008000; text-decoration-color: #008000\">                   </span>│<span style=\"color: #008000; text-decoration-color: #008000\">                  </span>│\n",
              "└──────────────────┴─────────────────┴──────────────────┴──────────────────┴───────────────────┴──────────────────┘\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[3m                                             All Metrics by Model Type                                             \u001b[0m\n",
              "┏━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓\n",
              "┃\u001b[1m                  \u001b[0m┃\u001b[1m                 \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mReasoning       \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mResponse        \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mTool Selection   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mTrajectory      \u001b[0m\u001b[1m \u001b[0m┃\n",
              "┃\u001b[1m \u001b[0m\u001b[1mModel           \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mCoherence/Score\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mQuality/Score   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mCorrectness/Sco…\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mAccuracy/Score   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mMatch/Score     \u001b[0m\u001b[1m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩\n",
              "│\u001b[36m \u001b[0m\u001b[36mGemini Pro      \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m4.83           \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m1.50            \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m2.67            \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m2.67             \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.33            \u001b[0m\u001b[32m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mGemini Flash    \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m4.83           \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.67            \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m4.67            \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.67             \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m4.00            \u001b[0m\u001b[32m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mLite            \u001b[0m\u001b[36m \u001b[0m│\u001b[32m                 \u001b[0m│\u001b[32m                  \u001b[0m│\u001b[32m                  \u001b[0m│\u001b[32m                   \u001b[0m│\u001b[32m                  \u001b[0m│\n",
              "└──────────────────┴─────────────────┴──────────────────┴──────────────────┴───────────────────┴──────────────────┘\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "render_model_comparison(all_results, console=console)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "6a46b2c27841"
      },
      "outputs": [
        {
          "data": {
            "image/png": "[encoded data, 39820 characters]",
            "text/plain": [
              "<Figure size 1200x700 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">───────────────────────────────────── </span><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">Best Model Configuration by Difficulty</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ──────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m───────────────────────────────────── \u001b[0m\u001b[1;35mBest Model Configuration by Difficulty\u001b[0m\u001b[92m ──────────────────────────────────────\u001b[0m\n"
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        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">              Best Model Configuration for Each Difficulty Level               </span>\n",
              "┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┓\n",
              "┃<span style=\"font-weight: bold\"> Difficulty </span>┃<span style=\"font-weight: bold\"> Best Model        </span>┃<span style=\"font-weight: bold\"> Temperature </span>┃<span style=\"font-weight: bold\"> Score </span>┃<span style=\"font-weight: bold\"> Improvement Over Avg </span>┃\n",
              "┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━┩\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> easy       </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> Gemini Flash Lite </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> 0.7         </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 5.00  </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> +1.33 (36.4%)        </span>│\n",
              "└────────────┴───────────────────┴─────────────┴───────┴──────────────────────┘\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[3m              Best Model Configuration for Each Difficulty Level               \u001b[0m\n",
              "┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┓\n",
              "┃\u001b[1m \u001b[0m\u001b[1mDifficulty\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mBest Model       \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mTemperature\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mScore\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mImprovement Over Avg\u001b[0m\u001b[1m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━┩\n",
              "│\u001b[36m \u001b[0m\u001b[36measy      \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32mGemini Flash Lite\u001b[0m\u001b[32m \u001b[0m│\u001b[33m \u001b[0m\u001b[33m0.7        \u001b[0m\u001b[33m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m5.00 \u001b[0m\u001b[35m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m+1.33 (36.4%)       \u001b[0m\u001b[34m \u001b[0m│\n",
              "└────────────┴───────────────────┴─────────────┴───────┴──────────────────────┘\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">──────────────────────────────────────────── </span><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">All Metrics by Difficulty</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m──────────────────────────────────────────── \u001b[0m\u001b[1;35mAll Metrics by Difficulty\u001b[0m\u001b[92m ────────────────────────────────────────────\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">                                          All Metrics by Difficulty Level                                          </span>\n",
              "┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
              "┃<span style=\"font-weight: bold\">            </span>┃<span style=\"font-weight: bold\">                 </span>┃<span style=\"font-weight: bold\"> Reasoning          </span>┃<span style=\"font-weight: bold\"> Response           </span>┃<span style=\"font-weight: bold\"> Tool Selection     </span>┃<span style=\"font-weight: bold\"> Trajectory        </span>┃\n",
              "┃<span style=\"font-weight: bold\"> Difficulty </span>┃<span style=\"font-weight: bold\"> Coherence/Score </span>┃<span style=\"font-weight: bold\"> Quality/Score      </span>┃<span style=\"font-weight: bold\"> Correctness/Score  </span>┃<span style=\"font-weight: bold\"> Accuracy/Score     </span>┃<span style=\"font-weight: bold\"> Match/Score       </span>┃\n",
              "┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> easy       </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 4.83            </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 2.58               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.67               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.17               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.67              </span>│\n",
              "└────────────┴─────────────────┴────────────────────┴────────────────────┴────────────────────┴───────────────────┘\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[3m                                          All Metrics by Difficulty Level                                          \u001b[0m\n",
              "┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
              "┃\u001b[1m            \u001b[0m┃\u001b[1m                 \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mReasoning         \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mResponse          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mTool Selection    \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mTrajectory       \u001b[0m\u001b[1m \u001b[0m┃\n",
              "┃\u001b[1m \u001b[0m\u001b[1mDifficulty\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mCoherence/Score\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mQuality/Score     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mCorrectness/Score \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mAccuracy/Score    \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mMatch/Score      \u001b[0m\u001b[1m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
              "│\u001b[36m \u001b[0m\u001b[36measy      \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m4.83           \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m2.58              \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.67              \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.17              \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.67             \u001b[0m\u001b[32m \u001b[0m│\n",
              "└────────────┴─────────────────┴────────────────────┴────────────────────┴────────────────────┴───────────────────┘\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "render_difficulty_analysis(all_results, console=console)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "id": "b4a7104b5567"
      },
      "outputs": [
        {
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            "image/png": "[encoded data, 41228 characters]",
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              "<Figure size 1200x700 with 1 Axes>"
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">───────────────────────────────────── </span><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">Best Model Configuration by Temperature</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ─────────────────────────────────────</span>\n",
              "</pre>\n"
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              "\u001b[92m───────────────────────────────────── \u001b[0m\u001b[1;35mBest Model Configuration by Temperature\u001b[0m\u001b[92m ─────────────────────────────────────\u001b[0m\n"
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">          Best Model Configuration for Each Temperature           </span>\n",
              "┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┓\n",
              "┃<span style=\"font-weight: bold\"> Temperature </span>┃<span style=\"font-weight: bold\"> Best Model        </span>┃<span style=\"font-weight: bold\"> Score </span>┃<span style=\"font-weight: bold\"> Improvement Over Avg </span>┃\n",
              "┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━┩\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> 0.2         </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> Gemini Flash Lite </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 4.33  </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> +1.33 (44.4%)        </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> 0.7         </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> Gemini Flash Lite </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 5.00  </span>│<span style=\"color: #000080; text-decoration-color: #000080\"> +0.67 (15.4%)        </span>│\n",
              "└─────────────┴───────────────────┴───────┴──────────────────────┘\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[3m          Best Model Configuration for Each Temperature           \u001b[0m\n",
              "┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┓\n",
              "┃\u001b[1m \u001b[0m\u001b[1mTemperature\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mBest Model       \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mScore\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mImprovement Over Avg\u001b[0m\u001b[1m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━┩\n",
              "│\u001b[36m \u001b[0m\u001b[36m0.2        \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32mGemini Flash Lite\u001b[0m\u001b[32m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m4.33 \u001b[0m\u001b[35m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m+1.33 (44.4%)       \u001b[0m\u001b[34m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36m0.7        \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32mGemini Flash Lite\u001b[0m\u001b[32m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m5.00 \u001b[0m\u001b[35m \u001b[0m│\u001b[34m \u001b[0m\u001b[34m+0.67 (15.4%)       \u001b[0m\u001b[34m \u001b[0m│\n",
              "└─────────────┴───────────────────┴───────┴──────────────────────┘\n"
            ]
          },
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          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">─────────────────────────────────────────── </span><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">All Metrics by Temperature</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m─────────────────────────────────────────── \u001b[0m\u001b[1;35mAll Metrics by Temperature\u001b[0m\u001b[92m ────────────────────────────────────────────\u001b[0m\n"
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">                                            All Metrics by Temperature                                             </span>\n",
              "┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
              "┃<span style=\"font-weight: bold\">             </span>┃<span style=\"font-weight: bold\">                 </span>┃<span style=\"font-weight: bold\"> Reasoning          </span>┃<span style=\"font-weight: bold\"> Response          </span>┃<span style=\"font-weight: bold\"> Tool Selection     </span>┃<span style=\"font-weight: bold\"> Trajectory        </span>┃\n",
              "┃<span style=\"font-weight: bold\"> Temperature </span>┃<span style=\"font-weight: bold\"> Coherence/Score </span>┃<span style=\"font-weight: bold\"> Quality/Score      </span>┃<span style=\"font-weight: bold\"> Correctness/Score </span>┃<span style=\"font-weight: bold\"> Accuracy/Score     </span>┃<span style=\"font-weight: bold\"> Match/Score       </span>┃\n",
              "┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> 0.2         </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 4.67            </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 2.33               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.00              </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.17               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.67              </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> 0.7         </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 5.00            </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 2.83               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 4.33              </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.17               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> 3.67              </span>│\n",
              "└─────────────┴─────────────────┴────────────────────┴───────────────────┴────────────────────┴───────────────────┘\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[3m                                            All Metrics by Temperature                                             \u001b[0m\n",
              "┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
              "┃\u001b[1m             \u001b[0m┃\u001b[1m                 \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mReasoning         \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mResponse         \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mTool Selection    \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mTrajectory       \u001b[0m\u001b[1m \u001b[0m┃\n",
              "┃\u001b[1m \u001b[0m\u001b[1mTemperature\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mCoherence/Score\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mQuality/Score     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mCorrectness/Score\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mAccuracy/Score    \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mMatch/Score      \u001b[0m\u001b[1m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
              "│\u001b[36m \u001b[0m\u001b[36m0.2        \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m4.67           \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m2.33              \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.00             \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.17              \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.67             \u001b[0m\u001b[32m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36m0.7        \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m5.00           \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m2.83              \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m4.33             \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.17              \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m3.67             \u001b[0m\u001b[32m \u001b[0m│\n",
              "└─────────────┴─────────────────┴────────────────────┴───────────────────┴────────────────────┴───────────────────┘\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "render_temperature_analysis(all_results, console=console)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f4736cb1add0"
      },
      "source": [
        "# Conclusion\n",
        "\n",
        "Our systematic evaluation of different model configurations provides a framework for making data-driven decisions about customer support agent implementation.\n",
        "\n",
        "## Next Steps\n",
        "\n",
        "With the evaluation results in hand, we can now:\n",
        "\n",
        "1. **Select the optimal configuration** based on actual performance metrics rather than assumptions or theoretical capabilities.\n",
        "\n",
        "2. **Understand trade-offs** between different models (Gemini Pro vs. Flash Lite) and temperature settings (0.2 vs. 0.7) for our specific customer support scenarios.\n",
        "\n",
        "3. **Identify improvement areas** by focusing on the metrics where even our best configuration underperformed.\n",
        "\n",
        "4. **Expand our evaluation dataset** to include more diverse customer queries and edge cases.\n",
        "\n",
        "This evaluation framework allows us to continually refine our customer support agent as new models become available or as customer needs evolve. By measuring performance objectively across multiple dimensions, we can ensure we're deploying the most effective solution for our specific use case.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "id": "843dbeddfba3"
      },
      "outputs": [
        {
          "data": {
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00\">─────────────────────────────────────────────── </span><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">Evaluation Summary</span><span style=\"color: #00ff00; text-decoration-color: #00ff00\"> ────────────────────────────────────────────────</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[92m─────────────────────────────────────────────── \u001b[0m\u001b[1;35mEvaluation Summary\u001b[0m\u001b[92m ────────────────────────────────────────────────\u001b[0m\n"
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">                                  Evaluation Summary                                   </span>\n",
              "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━┓\n",
              "┃<span style=\"font-weight: bold\"> Metric                        </span>┃<span style=\"font-weight: bold\"> Best Model                    </span>┃<span style=\"font-weight: bold\"> Score </span>┃<span style=\"font-weight: bold\"> Temperature </span>┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━┩\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Tool Selection Accuracy/Score </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> Gemini Flash Lite (High Temp) </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> 4.00  </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 0.7         </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Reasoning Quality/Score       </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> Gemini Flash Lite (Low Temp)  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> 3.67  </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 0.2         </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Response Correctness/Score    </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> Gemini Flash Lite (High Temp) </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> 5.00  </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 0.7         </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Trajectory Match/Score        </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> Gemini Flash Lite (Low Temp)  </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> 4.00  </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 0.2         </span>│\n",
              "│<span style=\"color: #008080; text-decoration-color: #008080\"> Coherence/Score               </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> Gemini Pro (High Temp)        </span>│<span style=\"color: #808000; text-decoration-color: #808000\"> 5.00  </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 0.7         </span>│\n",
              "└───────────────────────────────┴───────────────────────────────┴───────┴─────────────┘\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[3m                                  Evaluation Summary                                   \u001b[0m\n",
              "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━┓\n",
              "┃\u001b[1m \u001b[0m\u001b[1mMetric                       \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mBest Model                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mScore\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mTemperature\u001b[0m\u001b[1m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━┩\n",
              "│\u001b[36m \u001b[0m\u001b[36mTool Selection Accuracy/Score\u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32mGemini Flash Lite (High Temp)\u001b[0m\u001b[32m \u001b[0m│\u001b[33m \u001b[0m\u001b[33m4.00 \u001b[0m\u001b[33m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m0.7        \u001b[0m\u001b[35m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mReasoning Quality/Score      \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32mGemini Flash Lite (Low Temp) \u001b[0m\u001b[32m \u001b[0m│\u001b[33m \u001b[0m\u001b[33m3.67 \u001b[0m\u001b[33m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m0.2        \u001b[0m\u001b[35m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mResponse Correctness/Score   \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32mGemini Flash Lite (High Temp)\u001b[0m\u001b[32m \u001b[0m│\u001b[33m \u001b[0m\u001b[33m5.00 \u001b[0m\u001b[33m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m0.7        \u001b[0m\u001b[35m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mTrajectory Match/Score       \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32mGemini Flash Lite (Low Temp) \u001b[0m\u001b[32m \u001b[0m│\u001b[33m \u001b[0m\u001b[33m4.00 \u001b[0m\u001b[33m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m0.2        \u001b[0m\u001b[35m \u001b[0m│\n",
              "│\u001b[36m \u001b[0m\u001b[36mCoherence/Score              \u001b[0m\u001b[36m \u001b[0m│\u001b[32m \u001b[0m\u001b[32mGemini Pro (High Temp)       \u001b[0m\u001b[32m \u001b[0m│\u001b[33m \u001b[0m\u001b[33m5.00 \u001b[0m\u001b[33m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m0.7        \u001b[0m\u001b[35m \u001b[0m│\n",
              "└───────────────────────────────┴───────────────────────────────┴───────┴─────────────┘\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "<span style=\"font-weight: bold\">Key Findings:</span>\n",
              "\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>. <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Overall Performance:</span> Gemini Flash Lite <span style=\"font-weight: bold\">(</span>High Temp<span style=\"font-weight: bold\">)</span> is the best performing model with an average score of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.33</span> \n",
              "across all metrics.\n",
              "\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>. <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Metric-Specific Performance:</span>\n",
              "   - Best metric: Coherence/Score <span style=\"font-weight: bold\">(</span>avg: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.83</span><span style=\"font-weight: bold\">)</span>\n",
              "   - Most challenging metric: Reasoning Quality/Score <span style=\"font-weight: bold\">(</span>avg: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.58</span><span style=\"font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>. <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Temperature Impact:</span> Temperature <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.7</span> yielded the best overall performance <span style=\"font-weight: bold\">(</span>avg: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.80</span><span style=\"font-weight: bold\">)</span>, while temperature <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.2</span> \n",
              "performed worst <span style=\"font-weight: bold\">(</span>avg: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.37</span><span style=\"font-weight: bold\">)</span>.\n",
              "\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>. <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">Model-Specific Insights:</span>\n",
              "   - Tool Selection Accuracy/Score: Gemini Flash Lite <span style=\"font-weight: bold\">(</span>High Temp<span style=\"font-weight: bold\">)</span> excels <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.00</span><span style=\"font-weight: bold\">)</span>, while Gemini Pro <span style=\"font-weight: bold\">(</span>High Temp<span style=\"font-weight: bold\">)</span> \n",
              "struggles <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.33</span><span style=\"font-weight: bold\">)</span>.\n",
              "   - Reasoning Quality/Score: Gemini Flash Lite <span style=\"font-weight: bold\">(</span>Low Temp<span style=\"font-weight: bold\">)</span> excels <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.67</span><span style=\"font-weight: bold\">)</span>, while Gemini Pro <span style=\"font-weight: bold\">(</span>Low Temp<span style=\"font-weight: bold\">)</span> struggles \n",
              "<span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.00</span><span style=\"font-weight: bold\">)</span>.\n",
              "   - Response Correctness/Score: Gemini Flash Lite <span style=\"font-weight: bold\">(</span>High Temp<span style=\"font-weight: bold\">)</span> excels <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.00</span><span style=\"font-weight: bold\">)</span>, while Gemini Pro <span style=\"font-weight: bold\">(</span>Low Temp<span style=\"font-weight: bold\">)</span> struggles\n",
              "<span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.67</span><span style=\"font-weight: bold\">)</span>.\n",
              "   - Trajectory Match/Score: Gemini Flash Lite <span style=\"font-weight: bold\">(</span>Low Temp<span style=\"font-weight: bold\">)</span> excels <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.00</span><span style=\"font-weight: bold\">)</span>, while Gemini Pro <span style=\"font-weight: bold\">(</span>Low Temp<span style=\"font-weight: bold\">)</span> struggles \n",
              "<span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.33</span><span style=\"font-weight: bold\">)</span>.\n",
              "   - Coherence/Score: Gemini Pro <span style=\"font-weight: bold\">(</span>High Temp<span style=\"font-weight: bold\">)</span> excels <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.00</span><span style=\"font-weight: bold\">)</span>, while Gemini Pro <span style=\"font-weight: bold\">(</span>Low Temp<span style=\"font-weight: bold\">)</span> struggles <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.67</span><span style=\"font-weight: bold\">)</span>.\n",
              "\n",
              "<span style=\"font-weight: bold\">Next Steps:</span>\n",
              "\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>. Deploy the best-performing model configuration <span style=\"font-weight: bold\">(</span>Gemini Flash Lite <span style=\"font-weight: bold\">(</span>High Temp<span style=\"font-weight: bold\">))</span> for production use\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>. Focus on improving performance in the weakest metric area: Reasoning Quality/Score\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>. Conduct further temperature tuning around the optimal value of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.7</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>. Expand the evaluation dataset with more diverse scenarios\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>. Implement continuous evaluation to monitor agent performance over time\n",
              "\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\n",
              "\u001b[1mKey Findings:\u001b[0m\n",
              "\n",
              "\u001b[1;36m1\u001b[0m. \u001b[1;36mOverall Performance:\u001b[0m Gemini Flash Lite \u001b[1m(\u001b[0mHigh Temp\u001b[1m)\u001b[0m is the best performing model with an average score of \u001b[1;36m4.33\u001b[0m \n",
              "across all metrics.\n",
              "\n",
              "\u001b[1;36m2\u001b[0m. \u001b[1;36mMetric-Specific Performance:\u001b[0m\n",
              "   - Best metric: Coherence/Score \u001b[1m(\u001b[0mavg: \u001b[1;36m4.83\u001b[0m\u001b[1m)\u001b[0m\n",
              "   - Most challenging metric: Reasoning Quality/Score \u001b[1m(\u001b[0mavg: \u001b[1;36m2.58\u001b[0m\u001b[1m)\u001b[0m\n",
              "\n",
              "\u001b[1;36m3\u001b[0m. \u001b[1;36mTemperature Impact:\u001b[0m Temperature \u001b[1;36m0.7\u001b[0m yielded the best overall performance \u001b[1m(\u001b[0mavg: \u001b[1;36m3.80\u001b[0m\u001b[1m)\u001b[0m, while temperature \u001b[1;36m0.2\u001b[0m \n",
              "performed worst \u001b[1m(\u001b[0mavg: \u001b[1;36m3.37\u001b[0m\u001b[1m)\u001b[0m.\n",
              "\n",
              "\u001b[1;36m4\u001b[0m. \u001b[1;36mModel-Specific Insights:\u001b[0m\n",
              "   - Tool Selection Accuracy/Score: Gemini Flash Lite \u001b[1m(\u001b[0mHigh Temp\u001b[1m)\u001b[0m excels \u001b[1m(\u001b[0m\u001b[1;36m4.00\u001b[0m\u001b[1m)\u001b[0m, while Gemini Pro \u001b[1m(\u001b[0mHigh Temp\u001b[1m)\u001b[0m \n",
              "struggles \u001b[1m(\u001b[0m\u001b[1;36m2.33\u001b[0m\u001b[1m)\u001b[0m.\n",
              "   - Reasoning Quality/Score: Gemini Flash Lite \u001b[1m(\u001b[0mLow Temp\u001b[1m)\u001b[0m excels \u001b[1m(\u001b[0m\u001b[1;36m3.67\u001b[0m\u001b[1m)\u001b[0m, while Gemini Pro \u001b[1m(\u001b[0mLow Temp\u001b[1m)\u001b[0m struggles \n",
              "\u001b[1m(\u001b[0m\u001b[1;36m1.00\u001b[0m\u001b[1m)\u001b[0m.\n",
              "   - Response Correctness/Score: Gemini Flash Lite \u001b[1m(\u001b[0mHigh Temp\u001b[1m)\u001b[0m excels \u001b[1m(\u001b[0m\u001b[1;36m5.00\u001b[0m\u001b[1m)\u001b[0m, while Gemini Pro \u001b[1m(\u001b[0mLow Temp\u001b[1m)\u001b[0m struggles\n",
              "\u001b[1m(\u001b[0m\u001b[1;36m1.67\u001b[0m\u001b[1m)\u001b[0m.\n",
              "   - Trajectory Match/Score: Gemini Flash Lite \u001b[1m(\u001b[0mLow Temp\u001b[1m)\u001b[0m excels \u001b[1m(\u001b[0m\u001b[1;36m4.00\u001b[0m\u001b[1m)\u001b[0m, while Gemini Pro \u001b[1m(\u001b[0mLow Temp\u001b[1m)\u001b[0m struggles \n",
              "\u001b[1m(\u001b[0m\u001b[1;36m3.33\u001b[0m\u001b[1m)\u001b[0m.\n",
              "   - Coherence/Score: Gemini Pro \u001b[1m(\u001b[0mHigh Temp\u001b[1m)\u001b[0m excels \u001b[1m(\u001b[0m\u001b[1;36m5.00\u001b[0m\u001b[1m)\u001b[0m, while Gemini Pro \u001b[1m(\u001b[0mLow Temp\u001b[1m)\u001b[0m struggles \u001b[1m(\u001b[0m\u001b[1;36m4.67\u001b[0m\u001b[1m)\u001b[0m.\n",
              "\n",
              "\u001b[1mNext Steps:\u001b[0m\n",
              "\n",
              "\u001b[1;36m1\u001b[0m. Deploy the best-performing model configuration \u001b[1m(\u001b[0mGemini Flash Lite \u001b[1m(\u001b[0mHigh Temp\u001b[1m)\u001b[0m\u001b[1m)\u001b[0m for production use\n",
              "\u001b[1;36m2\u001b[0m. Focus on improving performance in the weakest metric area: Reasoning Quality/Score\n",
              "\u001b[1;36m3\u001b[0m. Conduct further temperature tuning around the optimal value of \u001b[1;36m0.7\u001b[0m\n",
              "\u001b[1;36m4\u001b[0m. Expand the evaluation dataset with more diverse scenarios\n",
              "\u001b[1;36m5\u001b[0m. Implement continuous evaluation to monitor agent performance over time\n",
              "\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/plain": [
              "{'best_model': 'Gemini Flash Lite (High Temp)',\n",
              " 'best_model_score': 4.333333333333333,\n",
              " 'best_temperature': np.float64(0.7),\n",
              " 'strongest_metric': 'Coherence/Score',\n",
              " 'weakest_metric': 'Reasoning Quality/Score',\n",
              " 'metric_details': {'Tool Selection Accuracy/Score': {'model': 'Gemini Flash Lite (High Temp)',\n",
              "   'score': np.float64(4.0),\n",
              "   'temperature': np.float64(0.7)},\n",
              "  'Reasoning Quality/Score': {'model': 'Gemini Flash Lite (Low Temp)',\n",
              "   'score': np.float64(3.6666666666666665),\n",
              "   'temperature': np.float64(0.2)},\n",
              "  'Response Correctness/Score': {'model': 'Gemini Flash Lite (High Temp)',\n",
              "   'score': np.float64(5.0),\n",
              "   'temperature': np.float64(0.7)},\n",
              "  'Trajectory Match/Score': {'model': 'Gemini Flash Lite (Low Temp)',\n",
              "   'score': np.float64(4.0),\n",
              "   'temperature': np.float64(0.2)},\n",
              "  'Coherence/Score': {'model': 'Gemini Pro (High Temp)',\n",
              "   'score': np.float64(5.0),\n",
              "   'temperature': np.float64(0.7)}}}"
            ]
          },
          "execution_count": 13,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "render_conclusion(all_results, console=console)"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "name": "run.ipynb",
      "toc_visible": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}
