Copilot Agent SDK: Develop Your Own AI Agents for GitHub Copilot

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    Copilot Agent SDK: Develop Your Own AI Agents for GitHub Copilot

    Introduction to the Copilot Agent SDK – build custom AI agents that seamlessly integrate with GitHub Copilot.

    January 31, 20269 min read
    Christof Schnyder

    Christof Schnyder

    Software Architect, Co-Founder

    christof.schnyder@cnext.ch
    15+ Jahreexperience·Full-Stack Architecture
    CNEXT AI Agent

    Quick Answer

    Introduction to the Copilot Agent SDK – build custom AI agents that seamlessly integrate with GitHub Copilot.

    The Copilot Agent SDK enables the development of custom AI agents for GitHub Copilot. This allows you to extend Copilot with your business logic.

    What is the Copilot Agent SDK?

    The SDK is a framework for creating:

    • Custom Agents – Specialized AI assistants
    • Tool Integrations – Connect external systems
    • Workflow Automation – Automate complex processes
    • Domain Experts – Incorporate industry-specific knowledge

    Architecture Overview

    Components

    [GitHub Copilot] ←→ [Agent Runtime]
                              ↓
                        [Your Agent]
                              ↓
                  [Tools] [Memory] [Context]

    Agent Lifecycle

    1. 1Initialization – Agent is loaded
    2. 2Context Building – Relevant context is provided
    3. 3Reasoning – Agent processes the request
    4. 4Tool Execution – Agent utilizes tools
    5. 5Response – Result is returned

    Getting Started

    Installation

    npm install @github/copilot-agent-sdk

    Create a Basic Agent

    import { Agent, AgentContext } from '@github/copilot-agent-sdk';
    
    export class MyCustomAgent extends Agent {
      name = 'my-custom-agent';
      description = 'An agent for specific tasks';
      
      async execute(context: AgentContext): Promise<string> {
        const { query, files, history } = context;
        
        // Your logic here
        const result = await this.processQuery(query);
        
        return result;
      }
    }

    Register the Agent

    import { registerAgent } from '@github/copilot-agent-sdk';
    import { MyCustomAgent } from './my-agent';
    
    registerAgent(new MyCustomAgent());

    Agent Configuration

    Manifest

    name: my-custom-agent
    version: 1.0.0
    description: Description of the agent
    capabilities:
      - code-generation
      - file-operations
      - external-api
    triggers:
      - pattern: "@myagent"
        description: Activates the custom agent

    Permissions

    permissions:
      files:
        read: true
        write: true
      network:
        allowed_hosts:
          - api.cnext.ch
      secrets:
        - MY_API_KEY

    Context and Memory

    Accessing Context

    async execute(context: AgentContext) {
      // Current file
      const currentFile = context.activeFile;
      
      // Workspace files
      const files = await context.workspace.getFiles('**/*.ts');
      
      // Conversation history
      const previousMessages = context.history;
      
      // User preferences
      const preferences = context.user.preferences;
    }

    Long-Term Memory

    // Save
    await context.memory.set('lastAnalysis', analysisResult);
    
    // Retrieve
    const cached = await context.memory.get('lastAnalysis');
    
    // With TTL
    await context.memory.set('session', data, { ttl: 3600 });

    Defining Tools

    Tool Structure

    import { Tool, ToolResult } from '@github/copilot-agent-sdk';
    
    const searchTool: Tool = {
      name: 'search-docs',
      description: 'Searches the documentation',
      parameters: {
        query: { type: 'string', required: true },
        limit: { type: 'number', default: 10 }
      },
      execute: async (params): Promise<ToolResult> => {
        const results = await searchDocumentation(params.query);
        return { success: true, data: results };
      }
    };

    Registering Tools

    class MyAgent extends Agent {
      tools = [searchTool, analyzeTool, generateTool];
    }

    Testing

    Unit Tests

    import { TestContext } from '@github/copilot-agent-sdk/testing';
    
    describe('MyCustomAgent', () => {
      it('should process query correctly', async () => {
        const agent = new MyCustomAgent();
        const context = TestContext.create({
          query: 'Analyze the code',
          files: ['src/main.ts']
        });
        
        const result = await agent.execute(context);
        expect(result).toContain('Analysis');
      });
    });

    Integration Tests

    npx copilot-agent test --interactive

    Deployment

    Local Development

    npx copilot-agent dev

    Publishing

    npx copilot-agent publish

    Best Practices

    Clear Responsibilities

    • One agent = One task
    • Focused functionality
    • Good descriptions

    Error Handling

    try {
      const result = await externalApi.call();
      return formatSuccess(result);
    } catch (error) {
      logger.error('API call failed', error);
      return formatError('Please try again later');
    }

    Performance

    • Use caching
    • Parallel tool execution
    • Streaming for long responses

    CNEXT Support

    We assist with:

    1. 1Agent Design – Define use cases
    2. 2Development – Build custom agents
    3. 3Integration – Connect enterprise systems
    4. 4Deployment – Secure rollout

    Conclusion

    The Copilot Agent SDK turns Copilot into your platform. Develop agents that understand your business.

    Copilot StudioAgentic AISchweiz
    Teilen:

    This article was created with the support of AI and reviewed by our team. We use AI tools to produce high-quality content efficiently — the editorial responsibility always lies with our experts.

    Christof Schnyder

    Christof Schnyder

    Software Architect, Co-Founder

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