agents-sdk
โดย Cloudflare
Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks.
npx skills add https://github.com/cloudflare/skills --skill agents-sdkCloudflare Agents SDK
Your knowledge of the Agents SDK may be outdated. Prefer retrieval over pre-training for any Agents SDK task.
Retrieval Sources
Cloudflare docs: https://developers.cloudflare.com/agents/
| Topic | Docs URL | Use for |
|---|---|---|
| Getting started | Quick start | First agent, project setup |
| Adding to existing project | Add to existing project | Install into existing Workers app |
| Configuration | Configuration | wrangler.jsonc, bindings, assets, deployment |
| Agent class | Agents API | Agent lifecycle, patterns, pitfalls |
| State | Store and sync state | setState, validateStateChange, persistence |
| Routing | Routing | URL patterns, routeAgentRequest |
| Callable methods | Callable methods | @callable, RPC, streaming, timeouts |
| Scheduling | Schedule tasks | schedule(), scheduleEvery(), cron |
| Workflows | Run workflows | AgentWorkflow, durable multi-step tasks |
| HTTP/WebSockets | WebSockets | Lifecycle hooks, hibernation |
| Chat agents | Chat agents | AIChatAgent, streaming, tools, persistence |
| Client SDK | Client SDK | useAgent, useAgentChat, React hooks |
| Client tools | Client tools | Client-side tools, autoContinueAfterToolResult |
| Server-driven messages | Trigger patterns | saveMessages, waitUntilStable, server-initiated turns |
| Resumable streaming | Resumable streaming | Stream recovery on disconnect |
| Email routing, secure reply resolver | ||
| MCP client | MCP client | Connecting to MCP servers |
| MCP server | MCP server | Building MCP servers with McpAgent |
| MCP transports | MCP transports | Streamable HTTP, SSE, RPC transport options |
| Securing MCP servers | Securing MCP | OAuth, proxy MCP, hardening |
| Human-in-the-loop | Human-in-the-loop | Approval flows, needsApproval, workflows |
| Durable execution | Durable execution | runFiber(), stash(), surviving DO eviction |
| Queue | Queue | Built-in FIFO queue, queue() |
| Retries | Retries | this.retry(), backoff/jitter |
| Observability | Observability | Diagnostics-channel events |
| Push notifications | Push notifications | Web Push + VAPID from agents |
| Webhooks | Webhooks | Receiving external webhooks |
| Cross-domain auth | Cross-domain auth | WebSocket auth, tokens, CORS |
| Readonly connections | Readonly | shouldConnectionBeReadonly |
| Voice | Voice | Experimental STT/TTS, withVoice |
| Browse the web | Browser tools | Experimental CDP browser automation |
| Think | Think | Experimental higher-level chat agent class |
| Migrations | AI SDK v5, AI SDK v6 | Upgrading @cloudflare/ai-chat |
Capabilities
The Agents SDK provides:
- Persistent state — SQLite-backed, auto-synced to clients via
setState - Callable RPC —
@callable()methods invoked over WebSocket - Scheduling — One-time, recurring (
scheduleEvery), and cron tasks - Workflows — Durable multi-step background processing via
AgentWorkflow - Durable execution —
runFiber()/stash()for work that survives DO eviction - Queue — Built-in FIFO queue with retries via
queue() - Retries —
this.retry()with exponential backoff and jitter - MCP integration — Connect to MCP servers or build your own with
McpAgent - Email handling — Receive and reply to emails with secure routing
- Streaming chat —
AIChatAgentwith resumable streams, message persistence, tools - Server-driven messages —
saveMessages,waitUntilStablefor proactive agent turns - React hooks —
useAgent,useAgentChatfor client apps - Observability —
diagnostics_channelevents for state, RPC, schedule, lifecycle - Push notifications — Web Push + VAPID delivery from agents
- Webhooks — Receive and verify external webhooks
- Voice (experimental) — STT/TTS via
@cloudflare/voice - Browser tools (experimental) — CDP-powered browsing via
agents/browser - Think (experimental) — Higher-level chat agent via
@cloudflare/think
FIRST: Verify Installation
npm ls agents # Should show agents package
If not installed:
npm install agents
For chat agents:
npm install agents @cloudflare/ai-chat ai @ai-sdk/react
Wrangler Configuration
{
"compatibility_flags": ["nodejs_compat"],
"durable_objects": {
"bindings": [{ "name": "MyAgent", "class_name": "MyAgent" }]
},
"migrations": [{ "tag": "v1", "new_sqlite_classes": ["MyAgent"] }]
}
Gotchas:
- Do NOT enable
experimentalDecoratorsin tsconfig (breaks@callable) - Never edit old migrations — always add new tags
- Each agent class needs its own DO binding + migration entry
- Add
"ai": { "binding": "AI" }for Workers AI
Agent Class
import { Agent, routeAgentRequest, callable } from "agents";
type State = { count: number };
export class Counter extends Agent<Env, State> {
initialState = { count: 0 };
validateStateChange(nextState: State, source: Connection | "server") {
if (nextState.count < 0) throw new Error("Count cannot be negative");
}
onStateUpdate(state: State, source: Connection | "server") {
console.log("State updated:", state);
}
@callable()
increment() {
this.setState({ count: this.state.count + 1 });
return this.state.count;
}
}
export default {
fetch: (req, env) => routeAgentRequest(req, env) ?? new Response("Not found", { status: 404 })
};
Routing
Requests route to /agents/{agent-name}/{instance-name}:
| Class | URL |
|---|---|
Counter | /agents/counter/user-123 |
ChatRoom | /agents/chat-room/lobby |
Client: useAgent({ agent: "Counter", name: "user-123" })
Custom routing: use getAgentByName(env.MyAgent, "instance-id") then agent.fetch(request).
Core APIs
| Task | API |
|---|---|
| Read state | this.state.count |
| Write state | this.setState({ count: 1 }) |
| SQL query | this.sql`SELECT * FROM users WHERE id = ${id}` |
| Schedule (delay) | await this.schedule(60, "task", payload) |
| Schedule (cron) | await this.schedule("0 * * * *", "task", payload) |
| Schedule (interval) | await this.scheduleEvery(30, "poll") |
| RPC method | @callable() myMethod() { ... } |
| Streaming RPC | @callable({ streaming: true }) stream(res) { ... } |
| Start workflow | await this.runWorkflow("ProcessingWorkflow", params) |
| Durable fiber | await this.runFiber("name", async (ctx) => { ... }) |
| Enqueue work | this.queue("handler", payload) |
| Retry with backoff | await this.retry(fn, { maxAttempts: 5 }) |
| Broadcast to clients | this.broadcast(message) |
| Get connections | this.getConnections(tag?) |
React Client
import { useAgent } from "agents/react";
function App() {
const [state, setLocalState] = useState({ count: 0 });
const agent = useAgent({
agent: "Counter",
name: "my-instance",
onStateUpdate: (newState) => setLocalState(newState),
onIdentity: (name, agentType) => console.log(`Connected to ${name}`)
});
return (
<button onClick={() => agent.setState({ count: state.count + 1 })}>
Count: {state.count}
</button>
);
}
References
Core
- references/state-scheduling.md — State persistence, scheduling, SQL
- references/callable.md — RPC methods, streaming, timeouts
- references/routing.md — URL patterns, custom routing,
getAgentByName - references/configuration.md — Wrangler config, bindings, Vite setup
Chat & Streaming
- references/streaming-chat.md — AIChatAgent, resumable streams, tools
- references/client-sdk.md —
useAgent,useAgentChat,AgentClient - references/server-driven-messages.md — Trigger patterns,
saveMessages - references/human-in-the-loop.md — Approval flows,
needsApproval
Background Processing
- references/workflows.md — Durable Workflows integration
- references/durable-execution.md —
runFiber,stash, surviving eviction - references/queue-retries.md — Built-in queue, retry with backoff
Integrations
- references/mcp.md — MCP client and server, transports, securing
- references/email.md — Email routing and handling
- references/webhooks-push.md — Webhooks, push notifications
- references/observability.md — Diagnostics-channel events
Experimental
- references/think.md —
@cloudflare/thinkhigher-level chat agent - references/voice.md —
@cloudflare/voiceSTT/TTS - references/codemode.md — Code Mode for tool orchestration
- references/browse-the-web.md — CDP browser tools
Skills เพิ่มเติมจาก Cloudflare
building-ai-agent-on-cloudflare
Cloudflare
| สร้างเอเจนต์ AI บน Cloudflare โดยใช้ Agents SDK พร้อมการจัดการสถานะ WebSocket แบบเรียลไทม์ งานตามกำหนดเวลา การรวมเครื่องมือ และความสามารถในการแชท สร้างโค้ดเอเจนต์ที่พร้อมใช้งานจริงซึ่งปรับใช้กับ Workers ใช้เมื่อ: ผู้ใช้ต้องการ "สร้างเอเจนต์", "เอเจนต์ AI", "เอเจนต์แชท", "เอเจนต์ ที่มีสถานะ", พูดถึง "Agents SDK", ต้องการ "AI แบบเรียลไทม์", "WebSocket AI", หรือถามเกี่ยวกับ "การจัดการสถานะ" ของเอเจนต์, "งานตามกำหนดเวลา" หรือ "การเรียกใช้เครื่องมือ
developmentofficial
building-mcp-server-on-cloudflare
Cloudflare
|
Builds remote MCP (Model Context Protocol) servers on Cloudflare Workers
with tools, OAuth authentication, and production deployment. Generates
server code, configures auth providers, and deploys to Workers.
Use when: user wants to "build MCP server", "create MCP tools", "remote
MCP", "deploy MCP", add "OAuth to MCP", or mentions Model Context Protocol
on Cloudflare. Also triggers on "MCP authentication" or "MCP deployment".
developmentofficial
cloudflare
Cloudflare
Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task.
references:
- workers
- pages
- d1
- durable-objects
- workers-ai
official
durable-objects
Cloudflare
Create and review Cloudflare Durable Objects. Use when building stateful coordination (chat rooms, multiplayer games, booking systems), implementing RPC methods, SQLite storage, alarms, WebSockets, or reviewing DO code for best practices. Covers Workers integration, wrangler config, and testing with Vitest.
official
sandbox-sdk
Cloudflare
สร้างแอปพลิเคชันในสภาพแวดล้อมแซนด์บ็อกซ์สำหรับการรันโค้ดอย่างปลอดภัย โหลดเมื่อสร้างการรันโค้ด AI, ตัวแปลโค้ด, ระบบ CI/CD, สภาพแวดล้อมการพัฒนาที่โต้ตอบได้ หรือการรันโค้ดที่ไม่น่าเชื่อถือ ครอบคลุมวงจรชีวิตของ Sandbox SDK, คำสั่ง, ไฟล์, ตัวแปลโค้ด และ URL แสดงตัวอย่าง
official
web-perf
Cloudflare
Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals (FCP, LCP, TBT, CLS, Speed Index), identifies render-blocking resources, network dependency chains, layout shifts, caching issues, and accessibility gaps. Use when asked to audit, profile, debug, or optimize page load performance, Lighthouse scores, or site speed.
official
workers-best-practices
Cloudflare
ตรวจสอบและเขียนโค้ด Cloudflare Workers ตามแนวทางปฏิบัติที่ดีที่สุดสำหรับโปรดักชัน ใช้เมื่อเขียน Workers ใหม่ ตรวจสอบโค้ด Worker กำหนดค่า wrangler.jsonc หรือตรวจสอบรูปแบบที่ไม่เหมาะสมของ Workers ทั่วไป (การสตรีม, floating promises, global state, secrets, bindings, observability) เน้นการดึงข้อมูลจากเอกสารของ Cloudflare มากกว่าความรู้ที่ฝึกไว้ล่วงหน้า
official
wrangler
Cloudflare
Cloudflare Workers CLI สำหรับการปรับใช้ พัฒนา และจัดการ Workers, KV, R2, D1, Vectorize, Hyperdrive, Workers AI, Containers, Queues, Workflows, Pipelines และ Secrets Store โหลดก่อนรันคำสั่ง wrangler เพื่อให้แน่ใจว่าไวยากรณ์และแนวทางปฏิบัติที่ดีที่สุดถูกต้อง
official