GPT-5 MCP Server

import { describe, it, expect, vi } from "vitest"; import { runQuery, buildOpenAIRequest, type QueryInput } from "../src/openai.ts"; import type { AppConfig } from "../src/config.ts"; function cfg(partial: Partial<AppConfig> = {}): AppConfig { return { apiKey: "sk-test", model: "gpt-5", maxRetries: 3, timeoutMs: 60000, reasoningEffort: "medium", defaultVerbosity: "medium", webSearchDefaultEnabled: false, webSearchContextSize: "medium", ...partial, } as AppConfig; } describe("runQuery", () => { it("calls OpenAI.responses.create with built request and returns output_text", async () => { const input: QueryInput = { query: "hello", model: "gpt-5.1", reasoning_effort: "low", web_search: { enabled: true, search_context_size: "high" }, verbosity: "high", tool_choice: "none", parallel_tool_calls: false, max_output_tokens: 256, system: "You are terse", }; const expectedReq = buildOpenAIRequest(input, cfg()); const fakeOpenAI = { responses: { create: vi.fn().mockResolvedValue({ output_text: "OK" }), }, } as any; const text = await runQuery(fakeOpenAI, input, cfg()); expect(fakeOpenAI.responses.create).toHaveBeenCalledTimes(1); expect(fakeOpenAI.responses.create).toHaveBeenCalledWith(expectedReq); expect(text).toBe("OK"); }); it("returns fallback message when output_text missing", async () => { const fakeOpenAI = { responses: { create: vi.fn().mockResolvedValue({}) } } as any; const text = await runQuery(fakeOpenAI, { query: "q" }, cfg()); expect(text).toBe("No response text available."); }); });