♻️ refactor: refactor agent runtime with openai compatible factory

src/libs/agent-runtime/BaseAI.ts

@@ -1,12 +1,23 @@
 import { StreamingTextResponse } from 'ai';
+import OpenAI from 'openai';
 
 import { ChatCompetitionOptions, ChatStreamPayload } from './types';
 
 export interface LobeRuntimeAI {
   baseURL?: string;
-
   chat(
     payload: ChatStreamPayload,
     options?: ChatCompetitionOptions,
   ): Promise<StreamingTextResponse>;
 }
+
+export abstract class LobeOpenAICompatibleRuntime {
+  abstract chat(
+    payload: ChatStreamPayload,
+    options?: ChatCompetitionOptions,
+  ): Promise<StreamingTextResponse>;
+
+  abstract client: OpenAI;
+
+  abstract baseURL: string;
+}

src/libs/agent-runtime/groq/index.test.ts

@@ -0,0 +1,347 @@
+// @vitest-environment node
+import OpenAI from 'openai';
+import { Mock, afterEach, beforeEach, describe, expect, it, vi } from 'vitest';
+
+import { ChatStreamCallbacks, LobeOpenAICompatibleRuntime } from '@/libs/agent-runtime';
+
+import * as debugStreamModule from '../utils/debugStream';
+import { LobeGroq } from './index';
+
+const provider = 'groq';
+const defaultBaseURL = 'https://api.groq.com/openai/v1';
+const bizErrorType = 'GroqBizError';
+const invalidErrorType = 'InvalidGroqAPIKey';
+
+// Mock the console.error to avoid polluting test output
+vi.spyOn(console, 'error').mockImplementation(() => {});
+
+let instance: LobeOpenAICompatibleRuntime;
+
+beforeEach(() => {
+  instance = new LobeGroq({ apiKey: 'test' });
+
+  // 使用 vi.spyOn 来模拟 chat.completions.create 方法
+  vi.spyOn(instance['client'].chat.completions, 'create').mockResolvedValue(
+    new ReadableStream() as any,
+  );
+});
+
+afterEach(() => {
+  vi.clearAllMocks();
+});
+
+describe('LobeGroqAI', () => {
+  describe('init', () => {
+    it('should correctly initialize with an API key', async () => {
+      const instance = new LobeGroq({ apiKey: 'test_api_key' });
+      expect(instance).toBeInstanceOf(LobeGroq);
+      expect(instance.baseURL).toEqual(defaultBaseURL);
+    });
+  });
+
+  describe('chat', () => {
+    it('should return a StreamingTextResponse on successful API call', async () => {
+      // Arrange
+      const mockStream = new ReadableStream();
+      const mockResponse = Promise.resolve(mockStream);
+
+      (instance['client'].chat.completions.create as Mock).mockResolvedValue(mockResponse);
+
+      // Act
+      const result = await instance.chat({
+        messages: [{ content: 'Hello', role: 'user' }],
+        model: 'mistralai/mistral-7b-instruct:free',
+        temperature: 0,
+      });
+
+      // Assert
+      expect(result).toBeInstanceOf(Response);
+    });
+
+    it('should call OpenRouter API with corresponding options', async () => {
+      // Arrange
+      const mockStream = new ReadableStream();
+      const mockResponse = Promise.resolve(mockStream);
+
+      (instance['client'].chat.completions.create as Mock).mockResolvedValue(mockResponse);
+
+      // Act
+      const result = await instance.chat({
+        max_tokens: 1024,
+        messages: [{ content: 'Hello', role: 'user' }],
+        model: 'mistralai/mistral-7b-instruct:free',
+        temperature: 0.7,
+        top_p: 1,
+      });
+
+      // Assert
+      expect(instance['client'].chat.completions.create).toHaveBeenCalledWith({
+        max_tokens: 1024,
+        messages: [{ content: 'Hello', role: 'user' }],
+        model: 'mistralai/mistral-7b-instruct:free',
+        temperature: 0.7,
+        top_p: 1,
+      });
+      expect(result).toBeInstanceOf(Response);
+    });
+
+    describe('Error', () => {
+      it('should return OpenRouterBizError with an openai error response when OpenAI.APIError is thrown', async () => {
+        // Arrange
+        const apiError = new OpenAI.APIError(
+          400,
+          {
+            status: 400,
+            error: {
+              message: 'Bad Request',
+            },
+          },
+          'Error message',
+          {},
+        );
+
+        vi.spyOn(instance['client'].chat.completions, 'create').mockRejectedValue(apiError);
+
+        // Act
+        try {
+          await instance.chat({
+            messages: [{ content: 'Hello', role: 'user' }],
+            model: 'mistralai/mistral-7b-instruct:free',
+            temperature: 0,
+          });
+        } catch (e) {
+          expect(e).toEqual({
+            endpoint: defaultBaseURL,
+            error: {
+              error: { message: 'Bad Request' },
+              status: 400,
+            },
+            errorType: bizErrorType,
+            provider,
+          });
+        }
+      });
+
+      it('should throw AgentRuntimeError with InvalidOpenRouterAPIKey if no apiKey is provided', async () => {
+        try {
+          new LobeGroq({});
+        } catch (e) {
+          expect(e).toEqual({ errorType: invalidErrorType });
+        }
+      });
+
+      it('should return OpenRouterBizError with the cause when OpenAI.APIError is thrown with cause', async () => {
+        // Arrange
+        const errorInfo = {
+          stack: 'abc',
+          cause: {
+            message: 'api is undefined',
+          },
+        };
+        const apiError = new OpenAI.APIError(400, errorInfo, 'module error', {});
+
+        vi.spyOn(instance['client'].chat.completions, 'create').mockRejectedValue(apiError);
+
+        // Act
+        try {
+          await instance.chat({
+            messages: [{ content: 'Hello', role: 'user' }],
+            model: 'mistralai/mistral-7b-instruct:free',
+            temperature: 0,
+          });
+        } catch (e) {
+          expect(e).toEqual({
+            endpoint: defaultBaseURL,
+            error: {
+              cause: { message: 'api is undefined' },
+              stack: 'abc',
+            },
+            errorType: bizErrorType,
+            provider,
+          });
+        }
+      });
+
+      it('should return OpenRouterBizError with an cause response with desensitize Url', async () => {
+        // Arrange
+        const errorInfo = {
+          stack: 'abc',
+          cause: { message: 'api is undefined' },
+        };
+        const apiError = new OpenAI.APIError(400, errorInfo, 'module error', {});
+
+        instance = new LobeGroq({
+          apiKey: 'test',
+
+          baseURL: 'https://api.abc.com/v1',
+        });
+
+        vi.spyOn(instance['client'].chat.completions, 'create').mockRejectedValue(apiError);
+
+        // Act
+        try {
+          await instance.chat({
+            messages: [{ content: 'Hello', role: 'user' }],
+            model: 'mistralai/mistral-7b-instruct:free',
+            temperature: 0,
+          });
+        } catch (e) {
+          expect(e).toEqual({
+            endpoint: 'https://api.***.com/v1',
+            error: {
+              cause: { message: 'api is undefined' },
+              stack: 'abc',
+            },
+            errorType: bizErrorType,
+            provider,
+          });
+        }
+      });
+
+      it('should throw an InvalidOpenRouterAPIKey error type on 401 status code', async () => {
+        // Mock the API call to simulate a 401 error
+        const error = new Error('Unauthorized') as any;
+        error.status = 401;
+        vi.mocked(instance['client'].chat.completions.create).mockRejectedValue(error);
+
+        try {
+          await instance.chat({
+            messages: [{ content: 'Hello', role: 'user' }],
+            model: 'mistralai/mistral-7b-instruct:free',
+            temperature: 0,
+          });
+        } catch (e) {
+          // Expect the chat method to throw an error with InvalidMoonshotAPIKey
+          expect(e).toEqual({
+            endpoint: defaultBaseURL,
+            error: new Error('Unauthorized'),
+            errorType: invalidErrorType,
+            provider,
+          });
+        }
+      });
+
+      it('should return AgentRuntimeError for non-OpenAI errors', async () => {
+        // Arrange
+        const genericError = new Error('Generic Error');
+
+        vi.spyOn(instance['client'].chat.completions, 'create').mockRejectedValue(genericError);
+
+        // Act
+        try {
+          await instance.chat({
+            messages: [{ content: 'Hello', role: 'user' }],
+            model: 'mistralai/mistral-7b-instruct:free',
+            temperature: 0,
+          });
+        } catch (e) {
+          expect(e).toEqual({
+            endpoint: defaultBaseURL,
+            errorType: 'AgentRuntimeError',
+            provider,
+            error: {
+              name: genericError.name,
+              cause: genericError.cause,
+              message: genericError.message,
+              stack: genericError.stack,
+            },
+          });
+        }
+      });
+    });
+
+    describe('LobeGroqAI chat with callback and headers', () => {
+      it('should handle callback and headers correctly', async () => {
+        // 模拟 chat.completions.create 方法返回一个可读流
+        const mockCreateMethod = vi
+          .spyOn(instance['client'].chat.completions, 'create')
+          .mockResolvedValue(
+            new ReadableStream({
+              start(controller) {
+                controller.enqueue({
+                  id: 'chatcmpl-8xDx5AETP8mESQN7UB30GxTN2H1SO',
+                  object: 'chat.completion.chunk',
+                  created: 1709125675,
+                  model: 'mistralai/mistral-7b-instruct:free',
+                  system_fingerprint: 'fp_86156a94a0',
+                  choices: [
+                    { index: 0, delta: { content: 'hello' }, logprobs: null, finish_reason: null },
+                  ],
+                });
+                controller.close();
+              },
+            }) as any,
+          );
+
+        // 准备 callback 和 headers
+        const mockCallback: ChatStreamCallbacks = {
+          onStart: vi.fn(),
+          onToken: vi.fn(),
+        };
+        const mockHeaders = { 'Custom-Header': 'TestValue' };
+
+        // 执行测试
+        const result = await instance.chat(
+          {
+            messages: [{ content: 'Hello', role: 'user' }],
+            model: 'mistralai/mistral-7b-instruct:free',
+            temperature: 0,
+          },
+          { callback: mockCallback, headers: mockHeaders },
+        );
+
+        // 验证 callback 被调用
+        await result.text(); // 确保流被消费
+        expect(mockCallback.onStart).toHaveBeenCalled();
+        expect(mockCallback.onToken).toHaveBeenCalledWith('hello');
+
+        // 验证 headers 被正确传递
+        expect(result.headers.get('Custom-Header')).toEqual('TestValue');
+
+        // 清理
+        mockCreateMethod.mockRestore();
+      });
+    });
+
+    describe('DEBUG', () => {
+      it('should call debugStream and return StreamingTextResponse when DEBUG_OPENROUTER_CHAT_COMPLETION is 1', async () => {
+        // Arrange
+        const mockProdStream = new ReadableStream() as any; // 模拟的 prod 流
+        const mockDebugStream = new ReadableStream({
+          start(controller) {
+            controller.enqueue('Debug stream content');
+            controller.close();
+          },
+        }) as any;
+        mockDebugStream.toReadableStream = () => mockDebugStream; // 添加 toReadableStream 方法
+
+        // 模拟 chat.completions.create 返回值，包括模拟的 tee 方法
+        (instance['client'].chat.completions.create as Mock).mockResolvedValue({
+          tee: () => [mockProdStream, { toReadableStream: () => mockDebugStream }],
+        });
+
+        // 保存原始环境变量值
+        const originalDebugValue = process.env.DEBUG_GROQ_CHAT_COMPLETION;
+
+        // 模拟环境变量
+        process.env.DEBUG_GROQ_CHAT_COMPLETION = '1';
+        vi.spyOn(debugStreamModule, 'debugStream').mockImplementation(() => Promise.resolve());
+
+        // 执行测试
+        // 运行你的测试函数，确保它会在条件满足时调用 debugStream
+        // 假设的测试函数调用，你可能需要根据实际情况调整
+        await instance.chat({
+          messages: [{ content: 'Hello', role: 'user' }],
+          model: 'mistralai/mistral-7b-instruct:free',
+          temperature: 0,
+        });
+
+        // 验证 debugStream 被调用
+        expect(debugStreamModule.debugStream).toHaveBeenCalled();
+
+        // 恢复原始环境变量值
+        process.env.DEBUG_GROQ_CHAT_COMPLETION = originalDebugValue;
+      });
+    });
+  });
+});