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azure_openai

langroid/language_models/azure_openai.py

AzureConfig(**kwargs)

Bases: OpenAIGPTConfig

Configuration for Azure OpenAI GPT.

Attributes:

Name Type Description
type str

should be azure.
api_version str

can be set in the .env file as AZURE_OPENAI_API_VERSION.
deployment_name str | None

can be optionally set in the .env file as AZURE_OPENAI_DEPLOYMENT_NAME and should be based the custom name you chose for your deployment when you deployed a model.
model_name str

[DEPRECATED] can be set in the .env file as AZURE_OPENAI_MODEL_NAME and should be based on the model name chosen during setup.
chat_model str

the chat model name to use. Can be set via the env variable AZURE_OPENAI_CHAT_MODEL. Recommended to use this instead of model_name.
Source code in langroid/language_models/azure_openai.py 
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def __init__(self, **kwargs) -> None:  # type: ignore
    if "model_name" in kwargs and "chat_model" not in kwargs:
        kwargs["chat_model"] = kwargs["model_name"]
    super().__init__(**kwargs)

AzureGPT(config)

Bases: OpenAIGPT

Class to access OpenAI LLMs via Azure. These env variables can be obtained from the file .azure_env. Azure OpenAI doesn't support completion

Source code in langroid/language_models/azure_openai.py 
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def __init__(self, config: AzureConfig):
    # This will auto-populate config values from .env file
    load_dotenv()
    super().__init__(config)
    self.config: AzureConfig = config

    if self.config.model_name == "":
        raise ValueError(
            """
            AZURE_OPENAI_MODEL_NAME not set in .env file,
            please set it to chat model name in your deployment."""
        )

    if (
        self.config.azure_openai_client_provider
        or self.config.azure_openai_async_client_provider
    ):
        if not self.config.azure_openai_client_provider:
            self.client = None
            logger.warning(
                "Using user-provided Azure OpenAI client, but only async "
                "client has been provided. Synchronous calls will fail."
            )
        if not self.config.azure_openai_async_client_provider:
            self.async_client = None
            logger.warning(
                "Using user-provided Azure OpenAI client, but no async "
                "client has been provided. Asynchronous calls will fail."
            )

        if self.config.azure_openai_client_provider:
            self.client = self.config.azure_openai_client_provider()
        if self.config.azure_openai_async_client_provider:
            self.async_client = self.config.azure_openai_async_client_provider()
            self.async_client.timeout = Timeout(self.config.timeout)
    else:
        if self.config.api_key == "":
            raise ValueError(
                """
                AZURE_OPENAI_API_KEY not set in .env file,
                please set it to your Azure API key."""
            )

        if self.config.api_base == "":
            raise ValueError(
                """
                AZURE_OPENAI_API_BASE not set in .env file,
                please set it to your Azure API key."""
            )

        self.client = AzureOpenAI(
            api_key=self.config.api_key,
            azure_endpoint=self.config.api_base,
            api_version=self.config.api_version,
            azure_deployment=self.config.deployment_name,
        )
        self.async_client = AsyncAzureOpenAI(
            api_key=self.config.api_key,
            azure_endpoint=self.config.api_base,
            api_version=self.config.api_version,
            azure_deployment=self.config.deployment_name,
            timeout=Timeout(self.config.timeout),
        )

    self.supports_json_schema = (
        self.config.api_version >= azureStructuredOutputAPIMin
        and self.config.api_version in azureStructuredOutputList
    )