list_agent_runtime_endpoints async ¶

async def list_agent_runtime_endpoints(
    self,
    agent_runtime_id: "capo_bedrock_agentcore_control.types.agent_runtime_id.AgentRuntimeId",
    *,
    config_overrides: Optional[AsyncBedrockAgentCoreControlClientConfig] = None,
    max_results: Optional[
        "capo_bedrock_agentcore_control.types.max_results.MaxResults"
    ] = None,
    next_token: Optional[
        "capo_bedrock_agentcore_control.types.next_token.NextToken"
    ] = None,
) -> "capo_bedrock_agentcore_control.types.list_agent_runtime_endpoints_response.ListAgentRuntimeEndpointsResponse":
    """<p>Lists all endpoints for a specific Amazon Secure Agent.</p>

    Args:
        agent_runtime_id: <p>The unique identifier of the AgentCore Runtime to list endpoints for.</p>
        max_results: <p>The maximum number of results to return in the response.</p>
        next_token: <p>A token to retrieve the next page of results.</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.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.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.list_agent_runtime_endpoints_request.ListAgentRuntimeEndpointsRequest]",
    ) -> AsyncOperationResponse[
        "capo_bedrock_agentcore_control.types.list_agent_runtime_endpoints_response.ListAgentRuntimeEndpointsResponse"
    ]:
        import capo_bedrock_agentcore_control._operations.amazon_bedrock_agent_core_control.list_agent_runtime_endpoints

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

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

        return capo_bedrock_agentcore_control.types.list_agent_runtime_endpoints_response.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("ListAgentRuntimeEndpoints", redact_output=_redact_output),
    )
    input_: capo_bedrock_agentcore_control.types.list_agent_runtime_endpoints_request.ListAgentRuntimeEndpointsRequest = {
        "agent_runtime_id": agent_runtime_id
    }
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token

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