AzureMLEndpointClient#

class langchain_community.llms.azureml_endpoint.AzureMLEndpointClient(endpoint_url: str, endpoint_api_key: str, deployment_name: str = '', timeout: int = 50)[source]#

AzureML Managed Endpoint client.

Initialize the class.

Methods

__init__(endpoint_url, endpoint_api_key[, ...])

Initialize the class.

call(body[, run_manager])

call.
Parameters:

  • endpoint_url (str)

  • endpoint_api_key (str)

  • deployment_name (str)

  • timeout (int)

__init__(endpoint_url: str, endpoint_api_key: str, deployment_name: str = '', timeout: int = 50) → None[source]#

Initialize the class.

Parameters:

  • endpoint_url (str)

  • endpoint_api_key (str)

  • deployment_name (str)

  • timeout (int)

Return type:

None

call(body: bytes, run_manager: CallbackManagerForLLMRun | None = None, **kwargs: Any) → bytes[source]#

call.

Parameters:
Return type:

bytes