delete_agent_runtime_endpoint ¶

def delete_agent_runtime_endpoint(
    self,
    agent_runtime_id: "capo_bedrock_agentcore_control.types.agent_runtime_id.AgentRuntimeId",
    endpoint_name: "capo_bedrock_agentcore_control.types.endpoint_name.EndpointName",
    *,
    config_overrides: Optional[BedrockAgentCoreControlClientConfig] = None,
    client_token: Optional[
        "capo_bedrock_agentcore_control.types.client_token.ClientToken"
    ] = None,
) -> "capo_bedrock_agentcore_control.types.delete_agent_runtime_endpoint_response.DeleteAgentRuntimeEndpointResponse":
    """<p>Deletes an AgentCore Runtime endpoint.</p>

    Args:
        agent_runtime_id: <p>The unique identifier of the AgentCore Runtime associated with the endpoint.</p>
        endpoint_name: <p>The name of the AgentCore Runtime endpoint to delete.</p>
        client_token: <p>A unique, case-sensitive identifier to ensure idempotency of the request.</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.throttling_exception.ThrottlingException: <p>This exception is thrown when the number of requests exceeds the limit</p>
        capo_bedrock_agentcore_control.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_bedrock_agentcore_control.types.delete_agent_runtime_endpoint_request.DeleteAgentRuntimeEndpointRequest]",
    ) -> OperationResponse[
        "capo_bedrock_agentcore_control.types.delete_agent_runtime_endpoint_response.DeleteAgentRuntimeEndpointResponse"
    ]:
        import capo_bedrock_agentcore_control._operations.amazon_bedrock_agent_core_control.delete_agent_runtime_endpoint

        output, http_response = (
            capo_bedrock_agentcore_control._operations.amazon_bedrock_agent_core_control.delete_agent_runtime_endpoint.delete_agent_runtime_endpoint(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

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

        return capo_bedrock_agentcore_control.types.delete_agent_runtime_endpoint_request.redact_sensitive(
            input_
        )

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

        return capo_bedrock_agentcore_control.types.delete_agent_runtime_endpoint_response.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging(
            "DeleteAgentRuntimeEndpoint",
            redact_input=_redact_input,
            redact_output=_redact_output,
        ),
    )
    input_: capo_bedrock_agentcore_control.types.delete_agent_runtime_endpoint_request.DeleteAgentRuntimeEndpointRequest = {
        "agent_runtime_id": agent_runtime_id,
        "endpoint_name": endpoint_name,
    }
    if client_token is None:
        client_token = str(uuid.uuid4())
    input_["client_token"] = client_token

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output