azure_openai_embedding_driver

AzureOpenAiEmbeddingDriver

Bases: OpenAiEmbeddingDriver

Azure OpenAi Embedding Driver.

Attributes:

Name	Type	Description
azure_deployment	str	An optional Azure OpenAi deployment id. Defaults to the model name.
azure_endpoint	str	An Azure OpenAi endpoint.
azure_ad_token	Optional[str]	An optional Azure Active Directory token.
azure_ad_token_provider	Optional[Callable[[], str]]	An optional Azure Active Directory token provider.
api_version	str	An Azure OpenAi API version.
tokenizer	OpenAiTokenizer	An OpenAiTokenizer.
client	AzureOpenAI	An openai.AzureOpenAI client.

Source code in griptape/drivers/embedding/azure_openai_embedding_driver.py

@define
class AzureOpenAiEmbeddingDriver(OpenAiEmbeddingDriver):
    """Azure OpenAi Embedding Driver.

    Attributes:
        azure_deployment: An optional Azure OpenAi deployment id. Defaults to the model name.
        azure_endpoint: An Azure OpenAi endpoint.
        azure_ad_token: An optional Azure Active Directory token.
        azure_ad_token_provider: An optional Azure Active Directory token provider.
        api_version: An Azure OpenAi API version.
        tokenizer: An `OpenAiTokenizer`.
        client: An `openai.AzureOpenAI` client.
    """

    azure_deployment: str = field(
        kw_only=True,
        default=Factory(lambda self: self.model, takes_self=True),
        metadata={"serializable": True},
    )
    azure_endpoint: str = field(kw_only=True, metadata={"serializable": True})
    azure_ad_token: Optional[str] = field(kw_only=True, default=None, metadata={"serializable": False})
    azure_ad_token_provider: Optional[Callable[[], str]] = field(
        kw_only=True,
        default=None,
        metadata={"serializable": False},
    )
    api_version: str = field(default="2023-05-15", kw_only=True, metadata={"serializable": True})
    tokenizer: OpenAiTokenizer = field(
        default=Factory(lambda self: OpenAiTokenizer(model=self.model), takes_self=True),
        kw_only=True,
    )
    _client: openai.AzureOpenAI = field(default=None, kw_only=True, alias="client", metadata={"serializable": False})

    @lazy_property()
    def client(self) -> openai.AzureOpenAI:
        return openai.AzureOpenAI(
            organization=self.organization,
            api_key=self.api_key,
            api_version=self.api_version,
            azure_endpoint=self.azure_endpoint,
            azure_deployment=self.azure_deployment,
            azure_ad_token=self.azure_ad_token,
            azure_ad_token_provider=self.azure_ad_token_provider,
        )

api_version: str = field(default='2023-05-15', kw_only=True, metadata={'serializable': True}) class-attribute instance-attribute

azure_ad_token: Optional[str] = field(kw_only=True, default=None, metadata={'serializable': False}) class-attribute instance-attribute

azure_ad_token_provider: Optional[Callable[[], str]] = field(kw_only=True, default=None, metadata={'serializable': False}) class-attribute instance-attribute

azure_deployment: str = field(kw_only=True, default=Factory(lambda self: self.model, takes_self=True), metadata={'serializable': True}) class-attribute instance-attribute

azure_endpoint: str = field(kw_only=True, metadata={'serializable': True}) class-attribute instance-attribute

tokenizer: OpenAiTokenizer = field(default=Factory(lambda self: OpenAiTokenizer(model=self.model), takes_self=True), kw_only=True) class-attribute instance-attribute

client()

Source code in griptape/drivers/embedding/azure_openai_embedding_driver.py

@lazy_property()
def client(self) -> openai.AzureOpenAI:
    return openai.AzureOpenAI(
        organization=self.organization,
        api_key=self.api_key,
        api_version=self.api_version,
        azure_endpoint=self.azure_endpoint,
        azure_deployment=self.azure_deployment,
        azure_ad_token=self.azure_ad_token,
        azure_ad_token_provider=self.azure_ad_token_provider,
    )