Cloudflare Agents

Last Updated: 2025-11-21

Quick Start

export default {
  async fetch(request, env, ctx) {
    const agent = {
      tools: [
        { name: 'getTodo', handler: async ({id}) => ({id, title: 'Task'}) }
      ],
      async run(input) {
        return await processWithLLM(input, this.tools);
      }
    };
    
    return Response.json(await agent.run(await request.text()));
  }
};

Core Features

• Tool Integration: Register and execute tools
• LLM Providers: OpenAI, Anthropic, Google Gemini
• MCP Protocol: Model Context Protocol support
• Cloudflare Bindings: D1, KV, R2, Durable Objects

Agent Pattern

const agent = {
  tools: [...],
  systemPrompt: 'You are a helpful assistant',
  model: 'gpt-4o',
  async run(input) {
    // Process with LLM
  }
};

Resources

Core Documentation

• references/patterns-concepts.md (317 lines) - What is Cloudflare Agents, patterns & concepts, critical rules, known issues prevention
• references/configuration-guide.md (152 lines) - Complete configuration deep dive
• references/agent-api.md (115 lines) - Complete Agent Class API reference

Integration Guides

• references/http-sse-guide.md (74 lines) - HTTP & Server-Sent Events
• references/websockets-guide.md (110 lines) - WebSocket integration
• references/state-management.md (388 lines) - State management, scheduled tasks, workflows
• references/mcp-integration.md (130 lines) - Model Context Protocol integration

Advanced Features

• references/advanced-features.md (637 lines) - Browser automation, RAG, AI model integration, calling agents, client APIs