Feat: add env-driven LLM configuration and smoke test

server/_core/llm.test.ts

@@ -0,0 +1,106 @@
+import { afterEach, beforeEach, describe, expect, it, vi } from "vitest";
+
+const ORIGINAL_ENV = { ...process.env };
+
+const mockSuccessResponse = {
+  id: "chatcmpl-test",
+  created: 1,
+  model: "qwen3.5-plus",
+  choices: [
+    {
+      index: 0,
+      message: {
+        role: "assistant",
+        content: "你好，我是测试响应。",
+      },
+      finish_reason: "stop",
+    },
+  ],
+};
+
+describe("invokeLLM", () => {
+  beforeEach(() => {
+    vi.resetModules();
+    vi.restoreAllMocks();
+    process.env = { ...ORIGINAL_ENV };
+  });
+
+  afterEach(() => {
+    process.env = { ...ORIGINAL_ENV };
+    vi.unstubAllGlobals();
+  });
+
+  it("uses LLM_* environment variables for request config", async () => {
+    process.env.LLM_API_URL = "https://one.hao.work/v1/chat/completions";
+    process.env.LLM_API_KEY = "test-key";
+    process.env.LLM_MODEL = "qwen3.5-plus";
+    process.env.LLM_MAX_TOKENS = "4096";
+    process.env.LLM_ENABLE_THINKING = "0";
+
+    const fetchMock = vi.fn().mockResolvedValue({
+      ok: true,
+      json: async () => mockSuccessResponse,
+    });
+    vi.stubGlobal("fetch", fetchMock);
+
+    const { invokeLLM } = await import("./llm");
+    await invokeLLM({
+      messages: [{ role: "user", content: "你好" }],
+    });
+
+    expect(fetchMock).toHaveBeenCalledTimes(1);
+    expect(fetchMock).toHaveBeenCalledWith(
+      "https://one.hao.work/v1/chat/completions",
+      expect.objectContaining({
+        method: "POST",
+        headers: expect.objectContaining({
+          authorization: "Bearer test-key",
+        }),
+      })
+    );
+
+    const [, request] = fetchMock.mock.calls[0] as [string, { body: string }];
+    expect(JSON.parse(request.body)).toMatchObject({
+      model: "qwen3.5-plus",
+      max_tokens: 4096,
+      messages: [{ role: "user", content: "你好" }],
+    });
+    expect(JSON.parse(request.body)).not.toHaveProperty("thinking");
+  });
+
+  it("falls back to legacy forge variables when LLM_* values are absent", async () => {
+    delete process.env.LLM_API_URL;
+    delete process.env.LLM_API_KEY;
+    delete process.env.LLM_MODEL;
+    delete process.env.LLM_MAX_TOKENS;
+    delete process.env.LLM_ENABLE_THINKING;
+    delete process.env.LLM_THINKING_BUDGET;
+    process.env.BUILT_IN_FORGE_API_URL = "https://forge.example.com";
+    process.env.BUILT_IN_FORGE_API_KEY = "legacy-key";
+
+    const fetchMock = vi.fn().mockResolvedValue({
+      ok: true,
+      json: async () => mockSuccessResponse,
+    });
+    vi.stubGlobal("fetch", fetchMock);
+
+    const { invokeLLM } = await import("./llm");
+    await invokeLLM({
+      messages: [{ role: "user", content: "legacy" }],
+    });
+
+    expect(fetchMock).toHaveBeenCalledWith(
+      "https://forge.example.com/v1/chat/completions",
+      expect.objectContaining({
+        headers: expect.objectContaining({
+          authorization: "Bearer legacy-key",
+        }),
+      })
+    );
+
+    const [, request] = fetchMock.mock.calls[0] as [string, { body: string }];
+    expect(JSON.parse(request.body)).toMatchObject({
+      model: "gemini-2.5-flash",
+    });
+  });
+});