<a id="camel.embeddings.azure_embedding"></a>

<a id="camel.embeddings.azure_embedding.AzureEmbedding"></a>

## AzureEmbedding

```python
class AzureEmbedding:
```

Provides text embedding functionalities using Azure's OpenAI models.

**Parameters:**

- **model_type** (EmbeddingModelType, optional): The model type to be used for text embeddings. (default: :obj:`TEXT_EMBEDDING_3_SMALL`)
- **url** (Optional[str], optional): The url to the Azure OpenAI service. (default: :obj:`None`)
- **api_key** (str, optional): The API key for authenticating with the Azure OpenAI service. (default: :obj:`None`)
- **api_version** (str, optional): The API version for Azure OpenAI service. (default: :obj:`None`)
- **dimensions** (Optional[int], optional): The text embedding output dimensions. (default: :obj:`None`)

<a id="camel.embeddings.azure_embedding.AzureEmbedding.__init__"></a>

### __init__

```python
def __init__(
    self,
    model_type: EmbeddingModelType = EmbeddingModelType.TEXT_EMBEDDING_3_SMALL,
    url: Union[str, None] = None,
    api_key: Union[str, None] = None,
    api_version: Union[str, None] = None,
    dimensions: Union[int, None] = None
):
```

<a id="camel.embeddings.azure_embedding.AzureEmbedding.embed_list"></a>

### embed_list

```python
def embed_list(self, objs: list[str], **kwargs: Any):
```

Embeds a list of texts using the Azure OpenAI model.

**Parameters:**

- **objs** (list[str]): The list of texts to embed. **kwargs (Any): Additional keyword arguments to pass to the API.

**Returns:**

  list[list[float]]: The embeddings for the input texts.

<a id="camel.embeddings.azure_embedding.AzureEmbedding.get_output_dim"></a>

### get_output_dim

```python
def get_output_dim(self):
```

**Returns:**

  int: The dimensionality of the embedding for the current model.
