GitHub Copilot SDK聊天应用构建AI聊天机器人的完整教程【免费下载链接】copilot-sdkMulti-platform SDK for integrating GitHub Copilot Agent into apps and services项目地址: https://gitcode.com/GitHub_Trending/co/copilot-sdkGitHub Copilot SDK是一款功能强大的多平台软件开发工具包专为将GitHub Copilot Agent集成到各类应用和服务中而设计。通过本教程您将快速掌握使用GitHub Copilot SDK构建智能聊天机器人的核心技能从环境搭建到功能实现轻松打造属于自己的AI助手。一、准备工作快速搭建开发环境在开始构建聊天应用之前确保您的开发环境满足以下要求GitHub Copilot CLI已安装并完成身份验证Node.js、Python和.NET SDK会自动提供CLIGo、Java和Rust则需要单独安装或使用其应用级CLI捆绑功能运行时环境Node.js 20、Python 3.11、Go 1.24、Rust 1.94、Java 17或.NET 8.0验证CLI是否正常工作copilot --version二、安装SDK选择您熟悉的编程语言GitHub Copilot SDK支持多种主流编程语言选择您最熟悉的一种进行安装Node.js / TypeScriptmkdir copilot-demo cd copilot-demo npm init -y --init-type module npm install github/copilot-sdk tsxPythonpip install github-copilot-sdkGomkdir copilot-demo cd copilot-demo go mod init copilot-demo go get github.com/github/copilot-sdk/goRustcargo new copilot-demo cd copilot-demo cargo add github-copilot-sdk --features derive cargo add tokio --features rt-multi-thread,macros cargo add serde --features derive cargo add schemars其他语言安装指南可参考官方文档docs/getting-started.md三、发送第一条消息5行代码实现AI对话创建一个简单的程序发送消息并获取AI响应Node.js / TypeScript示例import { CopilotClient } from github/copilot-sdk; const client new CopilotClient(); const session await client.createSession({ model: auto }); const response await session.sendAndWait({ prompt: What is 2 2? }); console.log(response?.data.content); await client.stop(); process.exit(0);运行程序npx tsx index.ts您将看到AI回复4。恭喜您已成功创建第一个Copilot驱动的应用。四、实现实时交互添加流式响应功能让聊天体验更加流畅实现实时流式输出Python示例import asyncio import sys from copilot import CopilotClient from copilot.session import PermissionHandler from copilot.session_events import SessionEventType async def main(): client CopilotClient() await client.start() session await client.create_session(on_permission_requestPermissionHandler.approve_all, modelauto, streamingTrue) # 监听响应块 def handle_event(event): if event.type SessionEventType.ASSISTANT_MESSAGE_DELTA: sys.stdout.write(event.data.delta_content) sys.stdout.flush() if event.type SessionEventType.SESSION_IDLE: print() # 完成后换行 session.on(handle_event) await session.send_and_wait(Tell me a short joke) await client.stop() asyncio.run(main())运行后您将看到AI的回复逐字实时显示就像与人对话一样自然。五、增强机器人能力添加自定义工具通过自定义工具让AI能够调用您的代码实现更复杂的功能。以下是一个天气查询工具示例.NET示例using GitHub.Copilot; using Microsoft.Extensions.AI; using System.ComponentModel; await using var client new CopilotClient(); // 定义Copilot可以调用的工具 var getWeather CopilotTool.DefineTool( ([Description(The city name)] string city) { // 实际应用中这里会调用天气API var conditions new[] { sunny, cloudy, rainy, partly cloudy }; var temp Random.Shared.Next(50, 80); var condition conditions[Random.Shared.Next(conditions.Length)]; return new { city, temperature ${temp}°F, condition }; }, factoryOptions: new AIFunctionFactoryOptions { Name get_weather, Description Get the current weather for a city, } ); await using var session await client.CreateSessionAsync(new SessionConfig { Model auto, OnPermissionRequest PermissionHandler.ApproveAll, Streaming true, Tools [getWeather], }); session.OnSessionEvent(ev { if (ev is AssistantMessageDeltaEvent deltaEvent) { Console.Write(deltaEvent.Data.DeltaContent); } if (ev is SessionIdleEvent) { Console.WriteLine(); } }); await session.SendAndWaitAsync(new MessageOptions { Prompt Whats the weather like in Seattle and Tokyo?, });运行程序后Copilot将自动调用天气工具获取数据并整理成自然语言回答。六、构建完整聊天助手打造交互式体验结合以上功能构建一个完整的交互式天气助手示例会话️ Weather Assistant (type exit to quit) Try: Whats the weather in Paris? or Compare weather in NYC and LA You: Whats the weather in Seattle? Assistant: Let me check the weather for Seattle... Its currently 62°F and cloudy in Seattle. You: How about Tokyo and London? Assistant: Ill check both cities for you: - Tokyo: 75°F and sunny - London: 58°F and rainy You: exit完整代码实现可参考官方文档中的Step 5: build an interactive assistant部分。七、高级功能探索释放SDK全部潜力GitHub Copilot SDK还提供了许多高级功能帮助您构建更强大的AI应用连接MCP服务器通过MCPModel Context Protocol服务器获取预构建工具例如连接GitHub的MCP服务器以访问仓库、问题和拉取请求const session await client.createSession({ mcpServers: { github: { type: http, url: https://api.githubcopilot.com/mcp/, }, }, });详细文档docs/features/mcp.md创建自定义代理为特定任务定义专门的AI角色const session await client.createSession({ customAgents: [{ name: pr-reviewer, displayName: PR Reviewer, description: Reviews pull requests for best practices, prompt: You are an expert code reviewer. Focus on security, performance, and maintainability., }], });自定义系统消息控制AI的行为和个性const session await client.createSession({ systemMessage: { content: You are a helpful assistant for our engineering team. Always be concise., }, });八、总结与下一步通过本教程您已经掌握了GitHub Copilot SDK的核心功能✅ 创建客户端和会话✅ 发送消息并接收响应✅ 实现实时流式输出✅ 定义自定义工具接下来您可以探索更多高级功能认证指南 - GitHub OAuth、环境变量和BYOKBYOK自带密钥 - 使用Azure AI Foundry、OpenAI等平台的API密钥OpenTelemetry instrumentation - 遥测配置和跟踪上下文传播现在您已经准备好使用GitHub Copilot SDK构建令人惊叹的AI应用了【免费下载链接】copilot-sdkMulti-platform SDK for integrating GitHub Copilot Agent into apps and services项目地址: https://gitcode.com/GitHub_Trending/co/copilot-sdk创作声明：本文部分内容由AI辅助生成（AIGC），仅供参考