feat: initial release v0.3.0

tests/unit/user-api/provider-test-compatible.test.ts

@@ -0,0 +1,100 @@
+import { beforeEach, describe, expect, it, vi } from 'vitest'
+
+const openAIState = vi.hoisted(() => ({
+  create: vi.fn(async () => ({
+    choices: [{ message: { content: 'pong' } }],
+  })),
+}))
+
+const fetchMock = vi.hoisted(() =>
+  vi.fn<typeof fetch>(async () => new Response('not-found', { status: 404 })),
+)
+
+vi.mock('openai', () => ({
+  default: class OpenAI {
+    chat = {
+      completions: {
+        create: openAIState.create,
+      },
+    }
+  },
+}))
+
+import { testProviderConnection } from '@/lib/user-api/provider-test'
+
+describe('provider test connection compatible probes', () => {
+  beforeEach(() => {
+    vi.clearAllMocks()
+    vi.stubGlobal('fetch', fetchMock)
+  })
+
+  it('asks user to configure llm when free probes are unsupported', async () => {
+    const result = await testProviderConnection({
+      apiType: 'openai-compatible',
+      baseUrl: 'https://compat.example.com/v1',
+      apiKey: 'compat-key',
+    })
+
+    expect(result.success).toBe(false)
+    expect(result.steps[0]?.name).toBe('models')
+    expect(result.steps[0]?.status).toBe('skip')
+    expect(result.steps[1]?.name).toBe('credits')
+    expect(result.steps[1]?.status).toBe('skip')
+    expect(result.steps[2]).toEqual({
+      name: 'textGen',
+      status: 'fail',
+      message: 'No free probe endpoint detected. Please configure an LLM model first, then retry / 未发现可用的免费探测接口，请先配置 LLM 模型后再测试',
+    })
+  })
+
+  it('falls back to configured llm test when free probes are unsupported', async () => {
+    const result = await testProviderConnection({
+      apiType: 'openai-compatible',
+      baseUrl: 'https://compat.example.com/v1',
+      apiKey: 'compat-key',
+      llmModel: 'gpt-4.1-mini',
+    })
+
+    expect(result.success).toBe(true)
+    expect(result.steps[0]?.status).toBe('skip')
+    expect(result.steps[1]?.status).toBe('skip')
+    expect(result.steps[2]).toEqual({
+      name: 'textGen',
+      status: 'pass',
+      model: 'gpt-4.1-mini',
+      message: 'Response: pong',
+    })
+    expect(openAIState.create).toHaveBeenCalledWith({
+      model: 'gpt-4.1-mini',
+      messages: [{ role: 'user', content: 'hi' }],
+      max_tokens: 20,
+      temperature: 0,
+    })
+  })
+
+  it('marks success when any free probe endpoint passes', async () => {
+    fetchMock.mockImplementation(async (input: RequestInfo | URL) => {
+      const url = String(input)
+      if (url.endsWith('/v1/models')) {
+        return new Response(JSON.stringify({ data: [{ id: 'm1' }, { id: 'm2' }] }), { status: 200 })
+      }
+      return new Response('not-found', { status: 404 })
+    })
+
+    const result = await testProviderConnection({
+      apiType: 'gemini-compatible',
+      baseUrl: 'https://compat.example.com',
+      apiKey: 'compat-key',
+    })
+
+    expect(result.success).toBe(true)
+    expect(result.steps[0]).toMatchObject({
+      name: 'models',
+      status: 'pass',
+      message: 'Found 2 models',
+    })
+    expect(result.steps[1]?.name).toBe('credits')
+    expect(result.steps[1]?.status).toBe('skip')
+    expect(result.steps.length).toBe(2)
+  })
+})