Cloudflare Deploy

Gotchas & Best Practices

Common Errors

"setState() not syncing"

Cause: Mutating state directly or not calling setState() after modifications
Solution: Always use setState() with immutable updates:

// ❌ this.state.count++
// ✅ this.setState({...this.state, count: this.state.count + 1})

"Message history grows unbounded (AIChatAgent)"

Cause: this.messages in AIChatAgent accumulates all messages indefinitely
Solution: Manually trim old messages periodically:

export class ChatAgent extends AIChatAgent<Env> {
  async onChatMessage(onFinish) {
    // Keep only last 50 messages
    if (this.messages.length > 50) {
      this.messages = this.messages.slice(-50);
    }
    
    return this.streamText({ model: openai("gpt-4"), messages: this.messages, onFinish });
  }
}

"SQL injection vulnerability"

Cause: Direct string interpolation in SQL queries Solution: Use parameterized queries:

// ❌ this.sql`...WHERE id = '${userId}'`
// ✅ this.sql`...WHERE id = ${userId}`

"WebSocket connection timeout"

Cause: Not calling conn.accept() in onConnect Solution: Always accept connections:

async onConnect(conn: Connection, ctx: ConnectionContext) { conn.accept(); conn.setState({userId: "123"}); }

"Schedule limit exceeded"

Cause: More than 1000 scheduled tasks per agent Solution: Clean up old schedules and limit creation rate:

async checkSchedules() { if ((await this.getSchedules()).length > 800) console.warn("Near limit!"); }

"AI Gateway unavailable"

Cause: AI service timeout or quota exceeded
Solution: Add error handling and fallbacks:

try { 
  return await this.env.AI.run(model, {prompt}); 
} catch (e) { 
  console.error("AI error:", e);
  return {error: "Unavailable"}; 
}

"@callable method returns undefined"

Cause: Method doesn't return JSON-serializable value, or has non-serializable types
Solution: Ensure return values are plain objects/arrays/primitives:

// ❌ Returns class instance
@callable()
async getData() { return new Date(); }

// ✅ Returns serializable object
@callable()
async getData() { return { timestamp: Date.now() }; }

"Resumable stream not resuming"

Cause: Stream ID must be deterministic for resumption to work
Solution: Use AIChatAgent (automatic) or ensure consistent stream IDs:

// AIChatAgent handles this automatically
export class ChatAgent extends AIChatAgent<Env> {
  // Resumption works out of the box
}

"MCP connection loss on hibernation"

Cause: MCP server connections don't survive hibernation
Solution: Re-register servers in onStart() or check connection status:

onStart() {
  // Re-register MCP servers after hibernation
  await this.mcp.registerServer("github", { url: env.MCP_URL, auth: {...} });
}

"Agent not found"

Cause: Durable Object binding missing or incorrect class name
Solution: Verify DO binding in wrangler.jsonc and class name matches

Rate Limits & Quotas

Best Practices

State Management

• Use immutable updates: setState({...this.state, key: newValue})

• Trim unbounded arrays (messages, logs) periodically

• Store large data in SQL, not state

SQL Usage

• Create tables in onStart(), not onRequest()

• Use parameterized queries: sql`WHERE id = ${id}` (NOT sql`WHERE id = '${id}'`)

• Index frequently queried columns

Scheduling

• Monitor schedule count: await this.getSchedules()

• Cancel completed tasks to stay under 1000 limit

• Use cron strings for recurring tasks

WebSockets

• Always call conn.accept() in onConnect()

• Handle client disconnects gracefully

• Broadcast to this.connections efficiently

AI Integration

• Use AIChatAgent for chat interfaces (auto-streaming, resumption)

• Trim message history to avoid token limits

• Handle AI errors with try/catch and fallbacks

Production Deployment

• Rate limiting: Implement request throttling for high-traffic agents (>1000 req/s)

• Monitoring: Log critical errors, track schedule count, monitor storage usage

• Graceful degradation: Handle AI service outages with fallbacks

• Message trimming: Enforce max history length (e.g., 100 messages) in AIChatAgent

• MCP reliability: Re-register servers on hibernation, implement retry logic