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:

• body (bytes) –

• run_manager (CallbackManagerForLLMRun | None) –

• kwargs (Any) –

Return type:

bytes