Resonate Basic Durable World Usage
SDK version: This skill reflects
@resonatehq/sdkv0.11.4 (current on npm).Two execution engines (v0.11.0+): The SDK now ships two engines. This skill documents the generator engine (imported from
@resonatehq/sdk), which usesfunction*/yield*and is the basis of all existing Resonate examples. An async/await engine (imported from@resonatehq/sdk/async) was added in v0.11.0 and is documented inresonate-async-await-engine-typescript.
Overview
The Durable World is inside generator functions where you write durable, recoverable execution logic using the Context object. Every operation checkpoints progress, enabling automatic recovery after failures.
Key distinction: Durable World code uses ctx (Context). Ephemeral World code uses resonate (Client).
Mental Model
Generator Function (function*)
↓
yield* ctx.run() ← Checkpoint
↓
yield* ctx.sleep() ← Checkpoint + Suspend
↓
yield* ctx.rpc() ← Checkpoint + Cross Process
↓
return result ← Final Checkpoint
Every yield* is a durable checkpoint.
If the process crashes, the execution replays from the last checkpoint using stored results.
Core Syntax Rules
1. Use function* (Generator Functions)
// ✅ CORRECT - Generator function
function* myWorkflow(ctx: Context, arg: string) {
// Durable code here
}
// ❌ WRONG - Async function
async function myWorkflow(ctx: Context, arg: string) {
// Not durable!
}
// ❌ WRONG - Async generator
async function* myWorkflow(ctx: Context, arg: string) {
// Invalid syntax for Resonate
}
2. Always yield* Context Calls
function* myWorkflow(ctx: Context) {
// ✅ CORRECT
const result = yield* ctx.run(someFunc, "arg");
// ❌ WRONG - Missing yield*
const result = ctx.run(someFunc, "arg");
// ❌ WRONG - Using await
const result = await ctx.run(someFunc, "arg");
}
3. First Parameter is Always Context
// ✅ CORRECT
function* myWorkflow(ctx: Context, userId: string, data: any) {
// ...
}
// ❌ WRONG - Missing Context
function* myWorkflow(userId: string) {
// Can't call Context APIs!
}
Context.run() - Local Invocation
Signature: ctx.run(func, ...args) → yield* → result
Behavior:
- Executes in same process
- Synchronous (blocks until complete)
- Arguments can be in-memory (no serialization required)
- Return value must serialize (stored for replay)
Basic Usage
function* workflow(ctx: Context, userId: string) {
// Call synchronously, get result immediately
const user = yield* ctx.run(fetchUser, userId);
const orders = yield* ctx.run(fetchOrders, userId);
return { user, orders };
}
async function fetchUser(_ctx: Context, userId: string) {
// Regular async function - can throw, use await, etc.
return { id: userId, name: "Alice" };
}
With Non-Serializable Arguments
function* workflow(ctx: Context) {
const db = ctx.getDependency("db"); // DB connection object
// ✅ OK - db object doesn't need to serialize
const user = yield* ctx.run(queryDatabase, db, "123");
return user;
}
async function queryDatabase(_ctx: Context, db: any, userId: string) {
return await db.query("SELECT * FROM users WHERE id = $1", [userId]);
}
Wrapping Side Effects
function* workflow(ctx: Context, email: string) {
// ✅ CORRECT - Wrap side effects in ctx.run
yield* ctx.run(sendEmail, email);
// ❌ WRONG - Side effect outside ctx.run
await sendEmailDirect(email); // Will re-send on replay!
}
async function sendEmail(_ctx: Context, email: string) {
// Side effect happens here, checkpointed result prevents replay
await emailService.send(email);
}
Context.beginRun() - Non-Blocking Local
Signature: ctx.beginRun(func, ...args) → yield* → Future
Use when:
- Starting multiple operations concurrently
- Following fork-join pattern
Fork-Join Concurrency
function* workflow(ctx: Context, userId: string) {
// Fork: Start all operations
const userFuture = yield* ctx.beginRun(fetchUser, userId);
const ordersFuture = yield* ctx.beginRun(fetchOrders, userId);
const invoicesFuture = yield* ctx.beginRun(fetchInvoices, userId);
// Join: Await all results
const user = yield* userFuture;
const orders = yield* ordersFuture;
const invoices = yield* invoicesFuture;
return { user, orders, invoices };
}
Pattern: Always fork first, then join. Don't interleave.
Anti-Pattern: Interleaved Begin/Await
// ❌ WRONG - Hard to read, unclear concurrency
function* workflow(ctx: Context, id: string) {
const f1 = yield* ctx.beginRun(step1, id);
const r1 = yield* f1;
const f2 = yield* ctx.beginRun(step2, r1);
const r2 = yield* f2;
return r2;
}
// ✅ CORRECT - Sequential operations should use run
function* workflow(ctx: Context, id: string) {
const r1 = yield* ctx.run(step1, id);
const r2 = yield* ctx.run(step2, r1);
return r2;
}
Context.rpc() - Remote Invocation
Signature: ctx.rpc(funcName, ...args, options?) → yield* → result
Behavior:
- Executes in different process/group
- Blocks until remote completes
- All arguments must serialize (crossing process boundary)
- Return value must serialize
Basic Usage
// Process A
function* workflow(ctx: Context, userId: string) {
// Call function in process B
const score = yield* ctx.rpc(
"computeScore",
userId,
{ model: "v2" },
ctx.options({ target: "poll://any@scorers" })
);
return score;
}
// Process B (different worker group "scorers")
function* computeScore(ctx: Context, userId: string, options: any) {
// Expensive computation
return 850;
}
Target Specification
ctx.options({
target: "poll://any@workers" // Any worker in "workers" group
})
ctx.options({
target: "poll://any@gpu-workers" // Specific worker group
})
Serialization Rules
function* workflow(ctx: Context) {
const db = ctx.getDependency("db");
// ❌ WRONG - DB connection can't serialize
yield* ctx.rpc("processData", db);
// ✅ CORRECT - Only pass serializable data
const data = yield* ctx.run(fetchData, db);
yield* ctx.rpc("processData", data);
}
Serializable: strings, numbers, booleans, plain objects, arrays, null Not serializable: functions, class instances, DB connections, file handles
Context.beginRpc() - Non-Blocking Remote
function* workflow(ctx: Context, userId: string) {
// Fork: Start remote operations
const scoreFuture = yield* ctx.beginRpc(
"computeScore",
userId,
ctx.options({ target: "poll://any@scorers" })
);
const riskFuture = yield* ctx.beginRpc(
"assessRisk",
userId,
ctx.options({ target: "poll://any@risk-workers" })
);
// Join: Await results
const score = yield* scoreFuture;
const risk = yield* riskFuture;
return { score, risk };
}
Context.detached() - Fire and Forget
function* workflow(ctx: Context, orderId: string) {
// Start analytics tracking but don't wait
yield* ctx.detached(
"trackOrder",
orderId,
ctx.options({ target: "poll://any@analytics" })
);
// Continue immediately
return processOrder(orderId);
}
Important: Detached calls are NOT implicitly awaited, even with structured concurrency.
Context.sleep() - Durable Sleep
Signature: ctx.sleep(ms | options) → yield* → void
Sleep for Duration
function* workflow(ctx: Context) {
yield* ctx.sleep(5000); // Sleep 5 seconds
yield* ctx.sleep({ for: 60_000 }); // Sleep 1 minute
}
Sleep Until Specific Time
function* workflow(ctx: Context) {
const tomorrow8am = new Date();
tomorrow8am.setDate(tomorrow8am.getDate() + 1);
tomorrow8am.setHours(8, 0, 0, 0);
yield* ctx.sleep({ until: tomorrow8am });
// Resumes at exactly 8am tomorrow
}
Key behaviors:
- No limit on sleep duration
- Activation terminates during sleep
- Resumes in new activation when time expires
- Sleep is durable - survives crashes
Context.promise() - External Promises
Signature: ctx.promise(options?) → yield* → Future
Use for: Human-in-the-loop, webhooks, external triggers
Promise IDs are always auto-generated
IMPORTANT: ctx.promise() does not take an id. Resonate generates a
deterministic ID from the call tree, and that is the only supported mechanism —
there is no way to pin a custom ID from inside a durable function.
The signature accepts timeout, data and tags and nothing else:
promise<T>(): RFI<T>;
promise<T>({ timeout, data, tags }: {
timeout?: number;
data?: any;
tags?: { [key: string]: string };
}): RFI<T>;
Passing { id } is a TypeScript excess-property error, and if you force it
through, the runtime destructures only { timeout, data, tags } and silently
discards it — the promise still gets the sequence-generated ID.
So how does an external resolver learn the ID? Read it back off the promise
and send it. That is the pattern below: create the promise first, then hand
promise.id to whatever needs to resolve it.
const promise = yield* ctx.promise<T>();
const result = yield* promise;
ctx.options() excludes id for the same reason —
options(opts?: Partial<Omit<Options, "id">>).
Basic HITL Pattern
function* approvalWorkflow(ctx: Context, orderId: string) {
// ID is auto-generated; read it back to give the external resolver
const approvalPromise = yield* ctx.promise<Decision>();
// Send notification with promise ID
yield* ctx.run(sendApprovalEmail, approvalPromise.id);
// Block until human approves (via external resolve)
const decision = yield* approvalPromise;
if (decision.approved) {
yield* ctx.run(processOrder, orderId);
}
return decision;
}
External Resolution (Ephemeral World)
// Webhook handler or UI callback
app.post("/approve/:promiseId", async (req, res) => {
// Base64 encode data before sending to Resonate server
const response = { approved: true, approver: req.body.userId };
const encodedData = Buffer.from(JSON.stringify(response)).toString('base64');
await resonate.promises.resolve(req.params.promiseId, {
data: encodedData,
});
res.json({ status: "approved" });
});
Promise ID determinism is the SDK's job, not yours
Replay only works if a promise gets the same ID every time the function runs.
Because ctx.promise() takes no id, you cannot get this wrong: the ID comes
from a per-context sequence counter that advances in call order, so the same
code path always produces the same IDs.
function* approvalLoop(ctx: Context, orderId: string) {
while (true) {
// Each iteration gets the next sequence ID — deterministic across replays
const promise = yield* ctx.promise<Decision>();
yield* ctx.run(sendApprovalEmail, orderId, promise.id);
const result = yield* promise;
if (result.approved) break;
}
}
What you still have to get right: the sequence is positional, so the code
path must be deterministic even though the IDs are. Branching on Date.now(),
Math.random(), or anything else that varies between runs can change how many
promises get created before a given one, which shifts every subsequent ID. Use
ctx.date.now() and ctx.math.random() — they replay the recorded value —
and keep non-deterministic input out of control flow.
// ❌ BAD — a wall-clock branch changes the call sequence between replays
if (Date.now() % 2) { yield* ctx.promise<Decision>(); }
// ✅ GOOD — recorded and replayed, so the branch is stable
const now = yield* ctx.date.now();
if (now % 2) { yield* ctx.promise<Decision>(); }
Pro tip: the generated ID is deterministic and replay-safe by construction — there is no explicit-ID alternative to weigh it against. When something outside the workflow has to resolve the promise, read promise.id back and publish that.
Base64 Encoding: The Resonate server expects base64-encoded data. Encode at the API boundary (CLI/webhook), and the SDK automatically decodes it in your workflow.
Deterministic Helpers
ctx.date.now()
function* workflow(ctx: Context) {
// ✅ CORRECT - Deterministic time
const timestamp = yield* ctx.date.now();
// ❌ WRONG - Non-deterministic
const timestamp = Date.now(); // Different on replay!
}
ctx.math.random()
function* workflow(ctx: Context) {
// ✅ CORRECT - Deterministic random
const rand = yield* ctx.math.random();
// ❌ WRONG - Non-deterministic
const rand = Math.random(); // Different on replay!
}
Why: Replay must follow same code path. Non-deterministic values break recovery.
Options Pattern
function* workflow(ctx: Context) {
const result = yield* ctx.run(
slowOperation,
"arg",
ctx.options({
id: "custom-promise-id",
timeout: 30_000, // 30 seconds
tags: { operation: "slow" }
})
);
}
Structured Concurrency
All started operations are implicitly awaited before return.
function* workflow(ctx: Context) {
yield* ctx.beginRun(task1); // Started
yield* ctx.beginRun(task2); // Started
return "done"; // Implicitly waits for task1 and task2
}
Equivalent to:
function* workflow(ctx: Context) {
const f1 = yield* ctx.beginRun(task1);
const f2 = yield* ctx.beginRun(task2);
yield* f1; // Explicit wait
yield* f2; // Explicit wait
return "done";
}
No orphaned work.
Error Handling
Regular Errors
function* workflow(ctx: Context, userId: string) {
try {
const user = yield* ctx.run(fetchUser, userId);
return user;
} catch (error) {
console.error("Failed to fetch user:", error);
// Retry logic or compensation
return null;
}
}
async function fetchUser(_ctx: Context, userId: string) {
if (!userId) {
throw new Error("User ID required");
}
// Fetch logic
}
Invariant Violations
function* workflow(ctx: Context, amount: number) {
// Assert fails if condition is false
yield* ctx.assert(amount > 0, "Amount must be positive");
// Panic fails if condition is true
yield* ctx.panic(amount > 1000000, "Amount exceeds limit");
return amount;
}
Use: assert for preconditions, panic for invariant violations
Complete Example: Order Processing
import { type Context } from "@resonatehq/sdk";
// Main workflow (durable)
function* processOrder(ctx: Context, orderId: string) {
// 1. Fetch order data
const order = yield* ctx.run(fetchOrder, orderId);
// 2. Parallel validation
const inventoryFuture = yield* ctx.beginRun(checkInventory, order);
const fraudFuture = yield* ctx.beginRpc(
"checkFraud",
order,
ctx.options({ target: "poll://any@fraud-workers" })
);
const inventory = yield* inventoryFuture;
const fraud = yield* fraudFuture;
if (!inventory.available || fraud.flagged) {
return { status: "rejected", reason: !inventory.available ? "out of stock" : "fraud" };
}
// 3. Charge customer
const payment = yield* ctx.run(chargeCard, order);
// 4. Create shipment
const shipment = yield* ctx.run(createShipment, order);
// 5. Send confirmation (fire and forget)
yield* ctx.detached(
"sendConfirmation",
orderId,
ctx.options({ target: "poll://any@email-workers" })
);
return { status: "complete", payment, shipment };
}
// Helper functions (async, not generators)
async function fetchOrder(_ctx: Context, orderId: string) {
// DB fetch
return { id: orderId, items: [...], total: 99.99 };
}
async function checkInventory(_ctx: Context, order: any) {
// Inventory check
return { available: true };
}
async function chargeCard(_ctx: Context, order: any) {
// Payment processing
return { transactionId: "txn_123", amount: order.total };
}
async function createShipment(_ctx: Context, order: any) {
// Shipping API
return { trackingNumber: "1Z999AA1", carrier: "UPS" };
}
Common Pitfalls
1. Missing yield*
// ❌ WRONG
function* workflow(ctx: Context) {
const result = ctx.run(someFunc); // Returns LFC object, not result!
}
// ✅ CORRECT
function* workflow(ctx: Context) {
const result = yield* ctx.run(someFunc);
}
2. Using await Instead of yield*
// ❌ WRONG
function* workflow(ctx: Context) {
const result = await ctx.run(someFunc); // Breaks determinism!
}
// ✅ CORRECT
function* workflow(ctx: Context) {
const result = yield* ctx.run(someFunc);
}
3. Side Effects Outside ctx.run
// ❌ WRONG - Replays will re-execute
function* workflow(ctx: Context) {
console.log("Processing..."); // Logs multiple times on replay!
await emailService.send("test@example.com"); // Sends multiple emails!
}
// ✅ CORRECT
function* workflow(ctx: Context) {
yield* ctx.run(logMessage, "Processing...");
yield* ctx.run(sendEmail, "test@example.com");
}
4. Non-Deterministic Operations
// ❌ WRONG
function* workflow(ctx: Context) {
const timestamp = Date.now(); // Different on replay!
const rand = Math.random(); // Different on replay!
}
// ✅ CORRECT
function* workflow(ctx: Context) {
const timestamp = yield* ctx.date.now();
const rand = yield* ctx.math.random();
}
5. Passing Non-Serializable Data to RPC
function* workflow(ctx: Context) {
const db = ctx.getDependency("db");
// ❌ WRONG - DB connection can't serialize
yield* ctx.rpc("processData", db);
// ✅ CORRECT - Fetch data first, then pass it
const data = yield* ctx.run(fetchData, db);
yield* ctx.rpc("processData", data);
}
Decision Tree
What do I need?
- Same process, wait for result →
ctx.run() - Same process, start now, wait later →
ctx.beginRun() - Different process, wait for result →
ctx.rpc() - Different process, start now, wait later →
ctx.beginRpc() - Fire and forget →
ctx.detached() - Wait for time →
ctx.sleep() - Wait for human/webhook →
ctx.promise() - Deterministic time →
ctx.date.now() - Deterministic random →
ctx.math.random() - Shared resource →
ctx.getDependency()
Summary
The Durable World is your execution plane:
- Generator functions with
yield* - Every operation checkpoints
- Automatic recovery on failure
- Clear serialization boundaries
- Structured concurrency guarantees
Write sequential-looking code that runs distributed and durable.