openai-cloudflare-agents-sdk

name	openai--cloudflare--agents-sdk
description	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. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
origin	openai/plugins — cloudflare/agents-sdk (MIT)
license	MIT
version	0.1.0
compatibility	yana-ai >= 0.14.0

Cloudflare Agents SDK

Your knowledge of the Agents SDK may be outdated. Prefer retrieval over pre-training for any Agents SDK task.

Retrieval Sources

Fetch current docs from https://github.com/cloudflare/agents/tree/main/docs before implementing.

Topic	Doc	Use for
Getting started	docs/getting-started.md	First agent, project setup
State	docs/state.md	setState, validateStateChange, persistence
Routing	docs/routing.md	URL patterns, routeAgentRequest, basePath
Callable methods	docs/callable-methods.md	@callable, RPC, streaming, timeouts
Scheduling	docs/scheduling.md	schedule(), scheduleEvery(), cron
Workflows	docs/workflows.md	AgentWorkflow, durable multi-step tasks
HTTP/WebSockets	docs/http-websockets.md	Lifecycle hooks, hibernation
Email	docs/email.md	Email routing, secure reply resolver
MCP client	docs/mcp-client.md	Connecting to MCP servers
MCP server	docs/mcp-servers.md	Building MCP servers with McpAgent
Client SDK	docs/client-sdk.md	useAgent, useAgentChat, React hooks
Human-in-the-loop	docs/human-in-the-loop.md	Approval flows, pausing workflows
Resumable streaming	docs/resumable-streaming.md	Stream recovery on disconnect

Cloudflare docs: https://developers.cloudflare.com/agents/

Capabilities

The Agents SDK provides:

• Persistent state - SQLite-backed, auto-synced to clients
• Callable RPC - @callable() methods invoked over WebSocket
• Scheduling - One-time, recurring (scheduleEvery), and cron tasks
• Workflows - Durable multi-step background processing via AgentWorkflow
• MCP integration - Connect to MCP servers or build your own with McpAgent
• Email handling - Receive and reply to emails with secure routing
• Streaming chat - AIChatAgent with resumable streams
• React hooks - useAgent, useAgentChat for client apps

FIRST: Verify Installation

npm ls agents  # Should show agents package

If not installed:

npm install agents

Wrangler Configuration

{
  "durable_objects": {
    "bindings": [{ "name": "MyAgent", "class_name": "MyAgent" }]
  },
  "migrations": [{ "tag": "v1", "new_sqlite_classes": ["MyAgent"] }]
}

Agent Class

import { Agent, routeAgentRequest, callable } from "agents";

type State = { count: number };

export class Counter extends Agent<Env, State> {
  initialState = { count: 0 };

  // Validation hook - runs before state persists (sync, throwing rejects the update)
  validateStateChange(nextState: State, source: Connection | "server") {
    if (nextState.count < 0) throw new Error("Count cannot be negative");
  }

  // Notification hook - runs after state persists (async, non-blocking)
  onStateUpdate(state: State, source: Connection | "server") {
    console.log("State updated:", state);
  }

  @callable()
  increment() {
    this.setState({ count: this.state. +  });
     ..;
  }
}

  {
  :  (req, env) ??  (, { :  })
};

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" })

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)

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

• references/workflows.md - Durable Workflows integration
• references/callable.md - RPC methods, streaming, timeouts
• references/state-scheduling.md - State persistence, scheduling
• references/streaming-chat.md - AIChatAgent, resumable streams
• references/mcp.md - MCP server integration
• references/email.md - Email routing and handling
• references/codemode.md - Code Mode (experimental)