create_agent_runtime_endpoint async ¶

async def create_agent_runtime_endpoint(
    self,
    agent_runtime_id: "capo_bedrock_agentcore_control.types.agent_runtime_id.AgentRuntimeId",
    name: "capo_bedrock_agentcore_control.types.endpoint_name.EndpointName",
    *,
    config_overrides: Optional[AsyncBedrockAgentCoreControlClientConfig] = None,
    agent_runtime_version: Optional[
        "capo_bedrock_agentcore_control.types.agent_runtime_version.AgentRuntimeVersion"
    ] = None,
    description: Optional[
        "capo_bedrock_agentcore_control.types.agent_endpoint_description.AgentEndpointDescription"
    ] = None,
    client_token: Optional[
        "capo_bedrock_agentcore_control.types.client_token.ClientToken"
    ] = None,
    tags: Optional["capo_bedrock_agentcore_control.types.tags_map.TagsMap"] = None,
) -> "capo_bedrock_agentcore_control.types.create_agent_runtime_endpoint_response.CreateAgentRuntimeEndpointResponse":
    """<p>Creates an AgentCore Runtime endpoint.</p>

    Args:
        agent_runtime_id: <p>The unique identifier of the AgentCore Runtime to create an endpoint for.</p>
        name: <p>The name of the AgentCore Runtime endpoint.</p>
        agent_runtime_version: <p>The version of the AgentCore Runtime to use for the endpoint.</p>
        description: <p>The description of the AgentCore Runtime endpoint.</p>
        client_token: <p>A unique, case-sensitive identifier to ensure idempotency of the request.</p>
        tags: <p>A map of tag keys and values to assign to the agent runtime endpoint. Tags enable you to categorize your resources in different ways, for example, by purpose, owner, or environment.</p>

    Raises:
        capo_bedrock_agentcore_control.errors.access_denied_exception.AccessDeniedException: <p>This exception is thrown when a request is denied per access permissions</p>
        capo_bedrock_agentcore_control.errors.conflict_exception.ConflictException: <p>This exception is thrown when there is a conflict performing an operation</p>
        capo_bedrock_agentcore_control.errors.internal_server_exception.InternalServerException: <p>This exception is thrown if there was an unexpected error during processing of request</p>
        capo_bedrock_agentcore_control.errors.resource_not_found_exception.ResourceNotFoundException: <p>This exception is thrown when a resource referenced by the operation does not exist</p>
        capo_bedrock_agentcore_control.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>This exception is thrown when a request is made beyond the service quota</p>
        capo_bedrock_agentcore_control.errors.throttling_exception.ThrottlingException: <p>This exception is thrown when the number of requests exceeds the limit</p>
        capo_bedrock_agentcore_control.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by the service.</p>
        capo_bedrock_agentcore_control.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_bedrock_agentcore_control.types.create_agent_runtime_endpoint_request.CreateAgentRuntimeEndpointRequest]",
    ) -> AsyncOperationResponse[
        "capo_bedrock_agentcore_control.types.create_agent_runtime_endpoint_response.CreateAgentRuntimeEndpointResponse"
    ]:
        import capo_bedrock_agentcore_control._operations.amazon_bedrock_agent_core_control.create_agent_runtime_endpoint

        (
            output,
            http_response,
        ) = await capo_bedrock_agentcore_control._operations.amazon_bedrock_agent_core_control.create_agent_runtime_endpoint.async_create_agent_runtime_endpoint(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    def _redact_input(
        input_: "capo_bedrock_agentcore_control.types.create_agent_runtime_endpoint_request.CreateAgentRuntimeEndpointRequest",
    ) -> dict[str, Any]:
        import capo_bedrock_agentcore_control.types.create_agent_runtime_endpoint_request

        return capo_bedrock_agentcore_control.types.create_agent_runtime_endpoint_request.redact_sensitive(
            input_
        )

    def _redact_output(
        output: "capo_bedrock_agentcore_control.types.create_agent_runtime_endpoint_response.CreateAgentRuntimeEndpointResponse",
    ) -> dict[str, Any]:
        import capo_bedrock_agentcore_control.types.create_agent_runtime_endpoint_response

        return capo_bedrock_agentcore_control.types.create_agent_runtime_endpoint_response.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging(
            "CreateAgentRuntimeEndpoint",
            redact_input=_redact_input,
            redact_output=_redact_output,
        ),
    )
    input_: capo_bedrock_agentcore_control.types.create_agent_runtime_endpoint_request.CreateAgentRuntimeEndpointRequest = {
        "agent_runtime_id": agent_runtime_id,
        "name": name,
    }
    if agent_runtime_version is not None:
        input_["agent_runtime_version"] = agent_runtime_version
    if description is not None:
        input_["description"] = description
    if client_token is None:
        client_token = str(uuid.uuid4())
    input_["client_token"] = client_token
    if tags is not None:
        input_["tags"] = tags

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output