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@lobehub/chat

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Lobe Chat - an open-source, high-performance chatbot framework that supports speech synthesis, multimodal, and extensible Function Call plugin system. Supports one-click free deployment of your private ChatGPT/LLM web application.

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// @vitest-environment node import { AzureOpenAI } from 'openai'; import { Mock, afterEach, beforeEach, describe, expect, it, vi } from 'vitest'; import * as debugStreamModule from '../utils/debugStream'; import * as openaiCompatibleFactoryModule from '../utils/openaiCompatibleFactory'; import { LobeAzureOpenAI } from './index'; const bizErrorType = 'ProviderBizError'; const invalidErrorType = 'InvalidProviderAPIKey'; // Mock the console.error to avoid polluting test output vi.spyOn(console, 'error').mockImplementation(() => {}); describe('LobeAzureOpenAI', () => { let instance: LobeAzureOpenAI; beforeEach(() => { instance = new LobeAzureOpenAI({ baseURL: 'https://test.openai.azure.com/', apiKey: 'test_key', apiVersion: '2023-03-15-preview', }); // 使用 vi.spyOn 来模拟 streamChatCompletions 方法 vi.spyOn(instance['client'].chat.completions, 'create').mockResolvedValue( new ReadableStream() as any, ); }); afterEach(() => { vi.clearAllMocks(); }); describe('constructor', () => { it('should throw InvalidAzureAPIKey error when apikey or endpoint is missing', () => { try { new LobeAzureOpenAI(); } catch (e) { expect(e).toEqual({ errorType: invalidErrorType }); } }); it('should create an instance of OpenAIClient with correct parameters', () => { const baseURL = 'https://test.openai.azure.com/'; const apiKey = 'test_key'; const apiVersion = '2023-03-15-preview'; const instance = new LobeAzureOpenAI({ baseURL, apiKey, apiVersion }); expect(instance.client).toBeInstanceOf(AzureOpenAI); expect(instance.baseURL).toBe(baseURL); }); }); describe('chat', () => { it('should return a Response 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: 'text-davinci-003', temperature: 0, }); // Assert expect(result).toBeInstanceOf(Response); }); describe('streaming response', () => { it('should handle multiple data chunks correctly', async () => { const data = [ { choices: [], created: 0, id: '', model: '', object: '', prompt_filter_results: [ { prompt_index: 0, content_filter_results: { hate: { filtered: false, severity: 'safe' }, self_harm: { filtered: false, severity: 'safe' }, sexual: { filtered: false, severity: 'safe' }, violence: { filtered: false, severity: 'safe' }, }, }, ], }, { choices: [ { content_filter_results: { hate: { filtered: false, severity: 'safe' }, self_harm: { filtered: false, severity: 'safe' }, sexual: { filtered: false, severity: 'safe' }, violence: { filtered: false, severity: 'safe' }, }, delta: { content: '你' }, finish_reason: null, index: 0, logprobs: null, }, ], created: 1715516381, id: 'chatcmpl-9O2SzeGv5xy6yz0TcQNA1DHHLJ8N1', model: 'gpt-35-turbo-16k', object: 'chat.completion.chunk', system_fingerprint: null, }, { choices: [ { content_filter_results: { hate: { filtered: false, severity: 'safe' }, self_harm: { filtered: false, severity: 'safe' }, sexual: { filtered: false, severity: 'safe' }, violence: { filtered: false, severity: 'safe' }, }, delta: { content: '好' }, finish_reason: null, index: 0, logprobs: null, }, ], created: 1715516381, id: 'chatcmpl-9O2SzeGv5xy6yz0TcQNA1DHHLJ8N1', model: 'gpt-35-turbo-16k', object: 'chat.completion.chunk', system_fingerprint: null, }, { choices: [ { content_filter_results: { hate: { filtered: false, severity: 'safe' }, self_harm: { filtered: false, severity: 'safe' }, sexual: { filtered: false, severity: 'safe' }, violence: { filtered: false, severity: 'safe' }, }, delta: { content: '!' }, finish_reason: null, index: 0, logprobs: null, }, ], created: 1715516381, id: 'chatcmpl-9O2SzeGv5xy6yz0TcQNA1DHHLJ8N1', model: 'gpt-35-turbo-16k', object: 'chat.completion.chunk', system_fingerprint: null, }, ]; const mockStream = new ReadableStream({ start(controller) { data.forEach((chunk) => controller.enqueue(chunk)); controller.close(); }, }); vi.spyOn(instance['client'].chat.completions, 'create').mockResolvedValue( mockStream as any, ); const result = await instance.chat({ stream: true, max_tokens: 2048, temperature: 0.6, top_p: 1, model: 'gpt-35-turbo-16k', presence_penalty: 0, frequency_penalty: 0, messages: [{ role: 'user', content: '你好' }], }); const decoder = new TextDecoder(); const reader = result.body!.getReader(); const stream: string[] = []; while (true) { const { value, done } = await reader.read(); if (done) break; stream.push(decoder.decode(value)); } expect(stream).toEqual( [ 'id: ', 'event: data', 'data: {"choices":[],"created":0,"id":"","model":"","object":"","prompt_filter_results":[{"prompt_index":0,"content_filter_results":{"hate":{"filtered":false,"severity":"safe"},"self_harm":{"filtered":false,"severity":"safe"},"sexual":{"filtered":false,"severity":"safe"},"violence":{"filtered":false,"severity":"safe"}}}]}\n', 'id: chatcmpl-9O2SzeGv5xy6yz0TcQNA1DHHLJ8N1', 'event: text', 'data: "你"\n', 'id: chatcmpl-9O2SzeGv5xy6yz0TcQNA1DHHLJ8N1', 'event: text', 'data: "好"\n', 'id: chatcmpl-9O2SzeGv5xy6yz0TcQNA1DHHLJ8N1', 'event: text', 'data: "!"\n', ].map((item) => `${item}\n`), ); }); it('should handle non-streaming response', async () => { vi.spyOn(openaiCompatibleFactoryModule, 'transformResponseToStream').mockImplementation( () => { return new ReadableStream(); }, ); // Act await instance.chat({ stream: false, temperature: 0.6, model: 'gpt-35-turbo-16k', messages: [{ role: 'user', content: '你好' }], }); // Assert expect(openaiCompatibleFactoryModule.transformResponseToStream).toHaveBeenCalled(); }); }); it('should handle o1 series models without streaming', async () => { vi.spyOn(openaiCompatibleFactoryModule, 'transformResponseToStream').mockImplementation( () => { return new ReadableStream(); }, ); // Act await instance.chat({ temperature: 0.6, model: 'o1-preview', messages: [{ role: 'user', content: '你好' }], }); // Assert expect(openaiCompatibleFactoryModule.transformResponseToStream).toHaveBeenCalled(); }); describe('Error', () => { it('should return AzureBizError with DeploymentNotFound error', async () => { // Arrange const error = { code: 'DeploymentNotFound', message: 'Deployment not found', }; (instance['client'].chat.completions.create as Mock).mockRejectedValue(error); // Act try { await instance.chat({ messages: [{ content: 'Hello', role: 'user' }], model: 'text-davinci-003', temperature: 0, }); } catch (e) { // Assert expect(e).toEqual({ endpoint: 'https://***.openai.azure.com/', error: { code: 'DeploymentNotFound', message: 'Deployment not found', deployId: 'text-davinci-003', }, errorType: bizErrorType, provider: 'azure', }); } }); it('should return AgentRuntimeError for non-Azure errors', async () => { // Arrange const genericError = new Error('Generic Error'); (instance['client'].chat.completions.create as Mock).mockRejectedValue(genericError); // Act try { await instance.chat({ messages: [{ content: 'Hello', role: 'user' }], model: 'text-davinci-003', temperature: 0, }); } catch (e) { // Assert expect(e).toEqual({ endpoint: 'https://***.openai.azure.com/', errorType: 'AgentRuntimeError', provider: 'azure', error: { name: genericError.name, cause: genericError.cause, message: genericError.message, }, }); } }); }); describe('DEBUG', () => { it('should call debugStream when DEBUG_CHAT_COMPLETION is 1', async () => { // Arrange const mockProdStream = new ReadableStream() as any; const mockDebugStream = new ReadableStream({ start(controller) { controller.enqueue('Debug stream content'); controller.close(); }, }) as any; mockDebugStream.toReadableStream = () => mockDebugStream; (instance['client'].chat.completions.create as Mock).mockResolvedValue({ tee: () => [mockProdStream, { toReadableStream: () => mockDebugStream }], }); process.env.DEBUG_AZURE_CHAT_COMPLETION = '1'; vi.spyOn(debugStreamModule, 'debugStream').mockImplementation(() => Promise.resolve()); // Act await instance.chat({ messages: [{ content: 'Hello', role: 'user' }], model: 'text-davinci-003', temperature: 0, }); // Assert expect(debugStreamModule.debugStream).toHaveBeenCalled(); // Restore delete process.env.DEBUG_AZURE_CHAT_COMPLETION; }); }); }); describe('private method', () => { describe('tocamelCase', () => { it('should convert string to camel case', () => { const key = 'image_url'; const camelCaseKey = instance['tocamelCase'](key); expect(camelCaseKey).toEqual('imageUrl'); }); }); describe('camelCaseKeys', () => { it('should convert object keys to camel case', () => { const obj = { frequency_penalty: 0, messages: [ { role: 'user', content: [ { type: 'image_url', image_url: { url: '<image URL>', }, }, ], }, ], }; const newObj = instance['camelCaseKeys'](obj); expect(newObj).toEqual({ frequencyPenalty: 0, messages: [ { role: 'user', content: [ { type: 'image_url', imageUrl: { url: '<image URL>', }, }, ], }, ], }); }); }); }); });