import type { AppContext } from "../app-context"; function elapsedMs(start: number): number {  return Math.round(performance.now() - start);} function errorClass(error: unknown): string {  return (error as { name?: string } | null)?.name || "Error";} function errorMessage(error: unknown): string {  if (error instanceof Error) return error.message;  return String(error);} export async function observeControllerFunction<T>(  context: AppContext,  functionName: string,  call: () => T | Promise<T>,): Promise<T> {  const start = performance.now();  try {    const result = await call();    context.stores.controllerRequestStore.recordFunctionCall({      function_name: functionName,      duration_ms: elapsedMs(start),      success: true,    });    return result;  } catch (error) {    context.stores.controllerRequestStore.recordFunctionCall({      function_name: functionName,      duration_ms: elapsedMs(start),      success: false,      error_class: errorClass(error),      error_message: errorMessage(error),    });    throw error;  }} /** * The most common observed call: locate the running inference process on the * configured port. `label` prefixes the telemetry function name per call site * (e.g. "status" -> "status.findInferenceProcess"). */export const findObservedInferenceProcess = (  context: AppContext,  label: string,): ReturnType<AppContext["processManager"]["findInferenceProcess"]> =>  observeControllerFunction(context, `${label}.findInferenceProcess`, () =>    context.processManager.findInferenceProcess(context.config.inference_port),  );