MervinPraison/PraisonAI 源码下载_部署教程

项目概述

PraisonAI is a production-ready Multi AI Agents framework, designed to create AI Agents to automate and solve problems ranging from simple tasks to complex challenges. It provides a low-code solution to streamline the building and management of multi-agent LLM systems, emphasising simplicity, customisation, and effective human-agent collaboration.

项目地址

https://github.com/MervinPraison/PraisonAI

项目页面预览

MervinPraison/PraisonAI preview

关键指标

Stars：5552
主要语言：Python
License：MIT License
最近更新：2026-01-15T09:45:48Z
默认分支：main

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点击下载（本站镜像）
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安装部署要点（README 精选）

📦 Installation

CLI Usage

# Expand a short prompt into detailed prompt
praisonai "write a movie script in 3 lines" --expand-prompt

# With verbose output
praisonai "blog about AI" --expand-prompt -v

# With tools for context gathering
praisonai "latest AI trends" --expand-prompt --expand-tools tools.py

# Combine with query rewrite
praisonai "AI news" --query-rewrite --expand-prompt

Programmatic Usage

from praisonaiagents import PromptExpanderAgent, ExpandStrategy

# Basic usage
agent = PromptExpanderAgent()
result = agent.expand("write a movie script in 3 lines")
print(result.expanded_prompt)

# With specific strategy
result = agent.expand("blog about AI", strategy=ExpandStrategy.DETAILED)

# Available strategies: BASIC, DETAILED, STRUCTURED, CREATIVE, AUTO

Key Difference:
– --query-rewrite: Optimizes queries for search/retrieval (RAG)
– --expand-prompt: Expands prompts for detailed task execution

CLI Usage

# Web Search - Get real-time information
praisonai "What are the latest AI news today?" --web-search --llm openai/gpt-4o-search-preview

# Web Fetch - Retrieve and analyze URL content (Anthropic only)
praisonai "Summarize https://docs.praison.ai" --web-fetch --llm anthropic/claude-sonnet-4-20250514

# Prompt Caching - Reduce costs for repeated prompts
praisonai "Analyze this document..." --prompt-caching --llm anthropic/claude-sonnet-4-20250514

常用命令（从 README 提取）

cd praisonai-agents
python benchmarks/simple_benchmark.py

# Install
pip install praisonaiagents

# Set API key
export OPENAI_API_KEY=your_key_here

# Create a simple agent
python -c "from praisonaiagents import Agent; Agent(instructions='You are a helpful AI assistant').start('Write a haiku about AI')"

pip install praisonaiagents