Camel.models.azure openai model

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AzureOpenAIModel

class AzureOpenAIModel(BaseModelBackend):

• model_type (Union[ModelType, str]): Model for which a backend is created, Should be the deployment name you chose when you deployed an azure model.
• model_config_dict (Optional[Dict[str, Any]], optional): A dictionary that will be fed into:obj:openai.ChatCompletion.create(). If :obj:None, :obj:ChatGPTConfig().as_dict() will be used. (default: :obj:None)
• api_key (Optional[str], optional): The API key for authenticating with the OpenAI service. (default: :obj:None)
• url (Optional[str], optional): The url to the OpenAI service. (default: :obj:None)
• api_version (Optional[str], optional): The api version for the model. (default: :obj:None)
• azure_ad_token (Optional[str], optional): Your Azure Active Directory token, https://www.microsoft.com/en-us/security/business/ identity-access/microsoft-entra-id. (default: :obj:None)
• azure_ad_token_provider (Optional[AzureADTokenProvider], optional): A function that returns an Azure Active Directory token, will be invoked on every request. (default: :obj:None)
• token_counter (Optional[BaseTokenCounter], optional): Token counter to use for the model. If not provided, :obj:OpenAITokenCounter will be used. (default: :obj:None)
• timeout (Optional[float], optional): The timeout value in seconds for API calls. If not provided, will fall back to the MODEL_TIMEOUT environment variable or default to 180 seconds. (default: :obj:None)
• max_retries (int, optional): Maximum number of retries for API calls. (default: :obj:3)
• client (Optional[Any], optional): A custom synchronous AzureOpenAI client instance. If provided, this client will be used instead of creating a new one. Useful for RL frameworks like AReaL or rLLM that provide Azure OpenAI-compatible clients. The client should implement the AzureOpenAI client interface with .chat.completions.create() and .beta.chat.completions.parse() methods. (default: :obj:None)
• async_client (Optional[Any], optional): A custom asynchronous AzureOpenAI client instance. If provided, this client will be used instead of creating a new one. The client should implement the AsyncAzureOpenAI client interface. (default: :obj:None)
• azure_deployment_name (Optional[str], optional): Deprecated. Use model_type parameter instead. This parameter is kept for backward compatibility and will be removed in a future version. (default: :obj:None) **kwargs (Any): Additional arguments to pass to the client initialization. Ignored if custom clients are provided.
• References:
• https: //learn.microsoft.com/en-us/azure/ai-services/openai/

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init

def __init__(
    self,
    model_type: Union[ModelType, str],
    model_config_dict: Optional[Dict[str, Any]] = None,
    api_key: Optional[str] = None,
    url: Optional[str] = None,
    timeout: Optional[float] = None,
    token_counter: Optional[BaseTokenCounter] = None,
    api_version: Optional[str] = None,
    azure_ad_token_provider: Optional['AzureADTokenProvider'] = None,
    azure_ad_token: Optional[str] = None,
    max_retries: int = 3,
    client: Optional[Any] = None,
    async_client: Optional[Any] = None,
    azure_deployment_name: Optional[str] = None,
    **kwargs: Any
):

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token_counter

def token_counter(self):

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_run

def _run(
    self,
    messages: List[OpenAIMessage],
    response_format: Optional[Type[BaseModel]] = None,
    tools: Optional[List[Dict[str, Any]]] = None
):

• messages (List[OpenAIMessage]): Message list with the chat history in OpenAI API format.
• response_format (Optional[Type[BaseModel]]): The format of the response.
• tools (Optional[List[Dict[str, Any]]]): The schema of the tools to use for the request.

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_request_chat_completion

def _request_chat_completion(
    self,
    messages: List[OpenAIMessage],
    tools: Optional[List[Dict[str, Any]]] = None
):

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_request_parse

def _request_parse(
    self,
    messages: List[OpenAIMessage],
    response_format: Type[BaseModel],
    tools: Optional[List[Dict[str, Any]]] = None
):

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_request_stream_parse

def _request_stream_parse(
    self,
    messages: List[OpenAIMessage],
    response_format: Type[BaseModel],
    tools: Optional[List[Dict[str, Any]]] = None
):

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stream

def stream(self):