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cloudflare-agents

Build AI agents on Cloudflare Workers with MCP integration, tool use, and LLM providers.

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集成工具CloudflareOpenAI
查看安装方法

包含的文件(23)

  • SKILL.md2.7 KB
  • references/advanced-features.md13.5 KB
  • references/agent-api.md2.9 KB
  • references/configuration-guide.md3.1 KB
  • references/error-catalog.md275 B
  • references/http-sse-guide.md2.0 KB
  • references/mcp-integration.md2.7 KB
  • references/patterns-concepts.md11.0 KB
  • references/state-management.md9.5 KB
  • references/websockets-guide.md3.0 KB
  • templates/basic-agent.ts383 B
  • templates/browser-agent.ts4.9 KB
  • templates/calling-agents-worker.ts3.7 KB
  • templates/chat-agent-streaming.ts1.5 KB
  • templates/hitl-agent.ts6.6 KB
  • templates/mcp-server-basic.ts4.0 KB
  • templates/rag-agent.ts4.8 KB
  • templates/react-useagent-client.tsx5.5 KB
  • templates/scheduled-agent.ts4.5 KB
  • templates/state-sync-agent.ts3.9 KB
  • templates/websocket-agent.ts4.1 KB
  • templates/workflow-agent.ts3.8 KB
  • templates/wrangler-agents-config.jsonc1.9 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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

Error Reference

  • references/error-catalog.md (10 lines) - Common errors and solutions

Templates

  • templates/basic-agent.ts - Basic agent setup
  • templates/browser-agent.ts - Browser automation
  • templates/calling-agents-worker.ts - Calling other agents
  • templates/chat-agent-streaming.ts - Streaming chat agent
  • templates/hitl-agent.ts - Human-in-the-loop
  • templates/mcp-server-basic.ts - MCP server integration
  • templates/rag-agent.ts - RAG implementation
  • templates/react-useagent-client.tsx - React client integration
  • templates/scheduled-agent.ts - Scheduled tasks
  • templates/state-sync-agent.ts - State synchronization
  • templates/websocket-agent.ts - WebSocket agent
  • templates/workflow-agent.ts - Workflows integration
  • templates/wrangler-agents-config.jsonc - Wrangler configuration

Official Docs: https://developers.cloudflare.com/cloudflare-for-platforms/cloudflare-agents/

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