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