Butterbase Durable Objects
SkillFiles & storageOnce this skill is added, your AI can build applications on Cloudflare's durable storage and compute services. It teaches your AI how these services work so it can help you design and write applications that keep data persistent. The skill comes from Cloudflare's skills repository on GitHub.
Available today. Use it from your connected AI after setup.
No other account needed.
After adding the skill, ask your AI to help you build an application on Cloudflare's durable storage and compute services. You can also ask it to explain how these services work before you start.
Then ask your AI: use the Butterbase Durable Objects skill
What your AI can do with it
- Build applications that use Cloudflare's durable storage
- Build applications that use Cloudflare's compute services
- Apply Cloudflare's recommended practices when writing application code
- Explain your options for storing data durably on Cloudflare
- Help plan an application before writing any code
What this skill tells your AI
The instructions your AI receives, as published by butterbase-ai/butterbase-skills in skills/durable-objects/SKILL.md and read by ahel’s review.
Durable Objects (DOs) are stateful per-key actors running on Cloudflare Workers. Each instance has its own in-memory state and a built-in transactional KV store. Use one when state must survive across requests for a single room/user/agent. For stateless work, use a serverless function instead (butterbase-skills:function-dev).
One tool: manage_durable_objects.
1. The mental model
Class: ChatRoom (deployed once)
│
├── instance "lobby" ─► in-memory state + state.storage + WebSockets
├── instance "general" ─► separate state, separate sockets
└── instance "user-123" ─► separate again
Each URL https://<app>.butterbase.dev/_do/chat-room/<instance-id>
gets routed to the instance with that id. State is isolated per id.
A class is shared code; an instance is a unique key (/lobby, /general, /user-123). Different ids = different state. There is no shared cross-instance state.
2. Constraints (read these first)
- One TypeScript file per class. No npm imports. Only
import { ... } from 'cloudflare:workers'is allowed. - Exactly one exported class.
export class Foo { ... }— no extra exports, no helpers re-exported. - PascalCase class name in source; kebab-case for the URL name (e.g.
ChatRoom↔chat-room). - File size: ≤ 5 MB. Total of all DO classes per app: ≤ 10 MB compressed.
- ≤ 5 DO classes per app (v1).
- No service bindings yet. Functions reach DOs over HTTP, not via env binding.
state.storagekeys/values capped at 128 KB. Larger blobs → Butterbase Storage.- Browser WebSockets need
access_mode: "public". Browsers can't set custom headers on WS upgrade, and the_do/dispatcher reads auth only fromAuthorization—?token=andSec-WebSocket-Protocolare silently ignored at the dispatcher (unlike the/realtimeroute, which does accept?token=). Set the DO public, then read the token from?token=(orSec-WebSocket-Protocol) insidefetch()and verify it yourself before accepting the upgrade. Server-to-server callers can still useauthenticated/service_key.
3. The class skeleton
export class ChatRoom {
constructor(public state: DurableObjectState, public env: Env) {}
async fetch(req: Request): Promise<Response> {
if (req.headers.get("Upgrade") === "websocket") {
const pair = new WebSocketPair();
this.state.acceptWebSocket(pair[1]);
return new Response(null, { status: 101, webSocket: pair[0] });
}
if (req.method === "POST") {
// handle plain HTTP
}
return Response.json({ ok: true });
}
// Optional WebSocket lifecycle hooks — called by the runtime
async webSocketMessage(ws: WebSocket, msg: string | ArrayBuffer) {
if (typeof msg !== "string") return; // guard binary
for (const peer of this.state.getWebSockets()) {
try { peer.send(msg); } catch {}
}
}
async webSocketClose(ws: WebSocket, code: number, reason: string, wasClean: boolean) {}
async webSocketError(ws: WebSocket, err: Error) {}
}
Key APIs:
| API | Purpose |
|---|---|
state.storage.get/put/delete/deleteAll/list | Async transactional KV store |
state.acceptWebSocket(ws) | Hold a WS connection; runtime routes messages to webSocketMessage |
state.getWebSockets() | All active WS connections for this instance |
new WebSocketPair() | Returns [client, server] — return client to browser, accept server |
this.env.KEY | Read DO env vars (set via set_env) |
4. Deploy
manage_durable_objects({
app_id: "app_abc123",
action: "deploy",
name: "chat-room", // kebab-case URL name
code: "<single TypeScript file>",
access_mode: "authenticated" // "public" | "authenticated" (default) | "service_key"
})
// → { id, name, class_name, status: "READY", access_mode, last_deployed_at }
Re-deploying with the same name updates the class; old in-memory state is evicted on next request. Storage persists across redeploys (same instance id = same state.storage).
Access modes
| Mode | Auth required |
|---|---|
public | None — validate tokens inside fetch() if you need any |
authenticated (default) | End-user JWT in Authorization: Bearer <token> |
service_key | Butterbase service key — backend-to-backend |
The dispatcher only checks header shape, not validity. For real auth on production DOs, validate the token inside
fetch().
5. Address an instance
https://<your-subdomain>.butterbase.dev/_do/<name>/<instance-id>
<name>= kebab-case DO name from deploy<instance-id>= anything you choose (/lobby,/user-123,/main)
Both HTTP and WebSocket upgrade work on the same URL.
// HTTP
fetch("https://app.butterbase.dev/_do/chat-room/lobby", {
method: "POST",
body: JSON.stringify({ user: "alice", text: "hi" })
});
// WebSocket
const ws = new WebSocket("wss://app.butterbase.dev/_do/chat-room/lobby");
Different instance ids → completely separate state. There is no shared global view; if you need one, build it yourself (e.g. a /registry instance that other instances report into).
6. Env vars
Env vars are app-wide across all DO classes. Setting one redeploys the DO Worker — existing in-memory state is evicted, active WS connections drop.
manage_durable_objects({ app_id, action: "list_env" }) // keys only, never values
manage_durable_objects({ app_id, action: "set_env", key: "AI_API_KEY", value: "sk-..." })
manage_durable_objects({ app_id, action: "delete_env", key: "AI_API_KEY" })
- Keys must match
^[A-Z_][A-Z0-9_]*$(UPPER_SNAKE). - A key can't collide with a DO class binding (e.g.
chat-roomreservesCHAT_ROOM). - Read in code as
this.env.KEY_NAME.
7. Lifecycle, listing, deletion
manage_durable_objects({ app_id, action: "list" })
manage_durable_objects({ app_id, action: "get", name: "chat-room" }) // includes full source + status + error_message
manage_durable_objects({ app_id, action: "delete", name: "chat-room" }) // IRREVERSIBLE: purges all instances + storage
manage_durable_objects({ app_id, action: "usage", name: "chat-room" }) // do_requests, do_cpu_ms (refreshed every 15 min)
Status transitions: PENDING → BUILDING → READY or ERROR (with error_message).
8. Patterns
Chat room (broadcast)
export class ChatRoom {
constructor(public state: DurableObjectState, public env: any) {}
async fetch(req: Request): Promise<Response> {
if (req.headers.get("Upgrade") === "websocket") {
const pair = new WebSocketPair();
this.state.acceptWebSocket(pair[1]);
const history = (await this.state.storage.get("messages")) ?? [];
pair[1].send(JSON.stringify({ type: "init", messages: history }));
return new Response(null, { status: 101, webSocket: pair[0] });
}
return Response.json(await this.state.storage.get("messages") ?? []);
}
async webSocketMessage(ws: WebSocket, msg: string | ArrayBuffer) {
if (typeof msg !== "string") return;
const history: any[] = (await this.state.storage.get("messages")) ?? [];
const parsed = JSON.parse(msg);
history.push(parsed);
await this.state.storage.put("messages", history.slice(-200));
for (const peer of this.state.getWebSockets()) {
try { peer.send(msg); } catch {}
}
}
}
Sliding-window rate limiter
export class RateLimiter {
constructor(public state: DurableObjectState, public env: any) {}
async fetch(req: Request): Promise<Response> {
const now = Date.now();
const window = 60_000;
const limit = 100;
const requests: number[] = (await this.state.storage.get("requests")) ?? [];
const recent = requests.filter(t => now - t < window);
if (recent.length >= limit) return new Response("rate limit", { status: 429 });
recent.push(now);
await this.state.storage.put("requests", recent);
return Response.json({ ok: true, remaining: limit - recent.length });
}
}
Address one instance per actor: /_do/rate-limiter/<user-id> or /_do/rate-limiter/<api-key-hash>.
Long-running AI agent
export class Agent {
constructor(public state: DurableObjectState, public env: any) {}
async fetch(req: Request): Promise<Response> {
const { prompt } = await req.json();
const r = await fetch(this.env.AI_API_ENDPOINT, {
method: "POST",
headers: { Authorization: `Bearer ${this.env.AI_API_KEY}` },
body: JSON.stringify({ prompt })
});
const data = await r.json();
await this.state.storage.put("last_response", data);
return Response.json(data);
}
}
One DO instance per conversation; storage holds the rolling history.
Counter / leaderboard
Each instance is its own counter. /_do/leaderboard/main and /_do/leaderboard/season-2 have independent state — no coordination needed in v1.
9. Errors
Build-time (rejected on deploy):
| Code | Cause |
|---|---|
NO_EXPORTED_CLASS | Source doesn't export a class |
MULTIPLE_EXPORTS | More than one export, or export of non-class |
INVALID_IMPORT | Imported anything other than cloudflare:workers |
CLASS_NAME_PARSE_ERROR | TS AST couldn't extract the class name |
NAME_REGEX_VIOLATION | name doesn't match ^[a-z][a-z0-9]*(?:-[a-z0-9]+)*$ |
QUOTA_DO_LIMIT | Already 5 classes for this app |
BUNDLE_SIZE_EXCEEDED / SOURCE_SIZE_EXCEEDED | Over the 10 MB / 5 MB limits |
Runtime / async-deploy:
- Status
ERRORafter a deploy → checkmanage_durable_objects(get)error_message. - WebSocket message handler only fires if you called
state.acceptWebSocket(ws)— easy to forget. webSocketMessagereceivesstring | ArrayBuffer. Always guard beforeJSON.parse.
10. Anti-patterns
| Don't | Do |
|---|---|
| Try to share state between instances directly | Pick a single "registry" instance and have others fetch into it |
| Use a DO for stateless HTTP work | Use a function — DOs cost more and have stricter constraints |
| Rely on dispatcher access_mode for real auth | Validate JWTs inside fetch() for production |
Use access_mode: "authenticated" for browser WebSockets | Use public + token-in-query-string + manual validation; browsers can't set headers |
Stuff > 128 KB blobs into state.storage | Use Butterbase Storage and store the object_id in DO state |
| Update env vars in tight loops | Each set_env redeploys the Worker — drops connections |
| Forget redeploy semantics | Code change or env change evicts all instances; storage survives but in-memory caches don't |
If a docs/butterbase/00-state.md exists in the working directory, prefer invoking via /butterbase-skills:journey-durable so the journey orchestrator stays in sync.
Signals
- GitHub stars
- 533
- Forks
- 41
- Last commit
- Jun 2026
Advanced
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durable-objects- Source
- github.com/butterbase-ai/butterbase-skills