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effect-encore

v0.30.0

Published

Declarative actors and durable workflows for effect v4 (`effect/unstable/cluster`).

Readme

effect-encore

Declarative actors and durable workflows for effect v4 (effect/unstable/cluster).

bun add effect-encore

Peer dependency: effect >= 4.0.0-beta.106. This package supports Effect v4 only.

Why

Effect's cluster API (effect/unstable/cluster) requires custom Schema.Class, Rpc.make, RpcGroup, Entity.make, handler wiring, and a hand-rolled client service. Workflows add Activity, DurableDeferred, DurableClock, and Workflow.make on top. effect-encore compresses both into a declarative DSL — define entities and workflows as plain objects, get typed actors with execute/send/peek/watch/waitFor and a step DSL for durable orchestration.

Core API

Entity — reactive message handlers

import { Actor } from "effect-encore";
import { Schema } from "effect";

const Order = Actor.fromEntity("Order", {
  Place: {
    payload: { item: Schema.String, qty: Schema.Number },
    success: Schema.String,
    persisted: true,
    id: (p) => `${p.item}-${p.qty}`,
  },
  Cancel: {
    payload: { reason: Schema.String },
    persisted: true,
    id: (p) => p.reason,
  },
});

Persisted entity operations dedupe by the primaryKey returned from id; completions are reused until .rerun(payload) explicitly clears that execution.

Workflow — durable multi-step processes

const ProcessOrder = Actor.fromWorkflow("ProcessOrder", {
  payload: { orderId: Schema.String },
  success: OrderResult,
  error: OrderError,
  id: (p) => p.orderId,
  signals: {
    ManagerApproval: { success: ApprovalDecision },
    Cancel: {},
  },
  captureDefects: true,
  suspendOnFailure: false,
});

Use ProcessOrder.prune(executionId) after retention ends. It removes the run, activity, and durable clock records for that workflow execution.

Identity & Type Guards

// .name — the actor's name
Order.name; // "Order"
ProcessOrder.name; // "ProcessOrder"

// .type — the cluster entity type
Order.type; // "Order"
ProcessOrder.type; // "Workflow/ProcessOrder"

// Type guards
Actor.isEntity(Order); // true — narrows to EntityActor
Actor.isWorkflow(ProcessOrder); // true — narrows to WorkflowActor

// .of — typed identity for handler construction
Order.of({ Place: ..., Cancel: ... }); // infers handler types from defs

Unified Call Site

Both entities and workflows share the same ref.execute / ref.send interface:

// Entity
const ref = yield * Order.ref("ord-1");
const result = yield * ref.execute(Order.Place({ item: "widget", qty: 3 }));
const execId = yield * ref.send(Order.Place({ item: "widget", qty: 3 }));

// Workflow — nullary actor()
const ref = yield * ProcessOrder.ref();
const result = yield * ref.execute(ProcessOrder.Run({ orderId: "ord-1" }));
const execId = yield * ref.send(ProcessOrder.Run({ orderId: "ord-1" }));

Peek, Watch & WaitFor

Track execution status via opaque ExecId:

const execId = yield * ref.send(Order.Place({ item: "widget", qty: 3 }));

// one-shot status check
const status = yield * Order.peek(execId);
// → Pending | Success | Failure | Interrupted | Defect | Suspended

// polling stream
const stream = Order.watch(execId);

// block until terminal (or custom filter)
const final = yield * Order.waitFor(execId);
const custom =
  yield *
  Order.waitFor(execId, {
    filter: (r) => r._tag === "Success",
    schedule: Schedule.spaced("1 second"),
  });

// compute ExecId without executing
const id = yield * Order.executionId("ord-1", Order.Place({ item: "widget", qty: 3 }));

Handle — Entity

const OrderLive = Actor.toLayer(Order, {
  Place: ({ operation }) => Effect.succeed(`order: ${operation.item} x${operation.qty}`),
  Cancel: ({ operation }) => cancelOrder(operation.reason),
});

// Use .of for type-safe handlers when yielding services in Effect.gen
const OrderLive = Actor.toLayer(
  Order,
  Effect.gen(function* () {
    const db = yield* Database;
    return Order.of({
      Place: ({ operation }) => db.placeOrder(operation.item, operation.qty),
      Cancel: ({ operation }) => db.cancelOrder(operation.reason),
    });
  }),
);

Entity State

Long-lived entity handlers can expose live, in-memory state without a side-channel registry in the host app. Build a writable State<A> or a ReadableState<A> view over the backing owner. Register it from the entity scope. Clients read or watch it through the actor. They use the same entityId as operations.

State<A> is a typed view over the cell plus a subscribable change stream: State.get / State.set / State.update / State.updateAndGet / State.modify serialize their read/apply/write/publish through a per-State lock, and State.changes is a replay-1 stream of every committed write. The state value is opaque. Use these functions instead of its internal closures or synchronization.

Use State.makeReadable(read, changes) when another service owns mutation. This constructor does not copy the state. It preserves the source read and change stream, including their error and requirement channels.

const CounterLive = Actor.toLayer(
  Counter,
  Effect.gen(function* () {
    const ref = yield* SubscriptionRef.make(0);
    const state = yield* Actor.State.make(SubscriptionRef.get(ref), (value) =>
      SubscriptionRef.set(ref, value),
    );

    yield* Actor.registerState(state);

    return Counter.of({
      Increment: ({ operation }) => Actor.State.updateAndGet(state, (n) => n + operation.amount),
    });
  }),
);

const current = yield * Counter.getState<number>("counter-1");

const changes = Counter.watchState<number>("counter-1");
const activeIds = yield * Counter.listStateEntityIds();

Cold getState and watchState calls materialize the entity before reading the registered state; apps do not need to define their own no-op operation for that case. The registration finalizer removes the state handle when the entity scope closes. Actor.toLayer and Actor.toTestLayer provide the state registry locally; remote producer-only runtimes cannot observe another process's live heap state.

SQL Message Storage

Entity .rerun(payload) needs surgical deletion of one persisted request and its replies. SQL-backed runtimes can use Encore's SQL layer instead of writing their own adapter:

import { fromSqlClient } from "effect-encore";
import { SqliteClient } from "@effect/sql-sqlite-bun";

const MessageStorageLive = fromSqlClient().pipe(
  Layer.provide(SqliteClient.layer({ filename: "app.db" })),
);

fromSqlClient() provides upstream MessageStorage.MessageStorage and Encore's internal rerun deletion operations. It uses Effect Cluster's default cluster_messages / cluster_replies tables and default sharding config. Use fromSqlClientWithShardingConfig() when the host provides a custom ShardingConfig.

Canonical JSON identity

Use one stable JSON representation for durable workflow identities and idempotency keys. Object keys use recursive UTF-16 order. Array order stays unchanged.

import { canonicalJsonSha256, canonicalJsonString } from "effect-encore";

const encoded = canonicalJsonString({ z: 1, a: 2 });
// {"a":2,"z":1}

const digest = yield * canonicalJsonSha256({ z: 1, a: 2 });
// lowercase 64-character SHA-256 digest

Handle — Workflow (Step DSL)

Workflow handlers receive (payload, step). The Step interface gives one convenient surface over Effect workflow primitives. Encore owns the assembly and stable naming.

Always provide success and error schemas. Activities serialize results through JSON — explicit schemas ensure durable round-tripping and typed decode. The shorthand (step.run(id, effect)) uses Schema.Unknown internally, which accepts any JSON-safe value but loses type safety on decode. Use it for prototyping; prefer full options for production workflows.

const ProcessOrderLive = Actor.toLayer(ProcessOrder, (payload, step) =>
  Effect.gen(function* () {
    // step.run — full options (recommended)
    const order = yield* step.run("create-order", {
      do: createOrder(payload),
      success: OrderSchema,
    });

    // step.run — with undo (compensation on workflow failure)
    const charge = yield* step.run("charge-card", {
      do: chargeCard(order),
      success: ChargeResult,
      undo: (charge, _cause) => refundCharge(charge.id),
      retry: { times: 3 },
    });

    // step.sleep — durable sleep
    yield* step.sleep("cooling-period", "5 minutes");

    // signal — await external input (defined on WorkflowDef.signals)
    const token = yield* ProcessOrder.ManagerApproval.token;
    yield* step.run("send-approval-email", {
      do: sendApprovalEmail({ token }),
      success: Schema.Void,
    });
    const decision = yield* ProcessOrder.ManagerApproval.await;

    // step.race — first activity to complete wins
    const winner = yield* step.race("fast-path", [
      { name: "route-a", execute: routeA(order), success: RouteResult },
      { name: "route-b", execute: routeB(order), success: RouteResult },
    ]);

    // step.run — shorthand (infallible, Schema.Unknown — quick & dirty)
    const debug = yield* step.run("log", Effect.succeed("ok"));

    return { orderId: order.id, chargeId: charge.id };
  }),
);

Compensations run in reverse registration order after a workflow failure. Each compensation is a durable Activity. A completed compensation does not run again after replay or restart.

A failed compensation suspends the workflow. The error log includes the executionId, stepId, and attempt. The undo Effect can fail with the Workflow error type. Encore uses the Workflow error schema for the durable compensation Activity. An operator can read the pending compensation. The operator can then retry it or stop its retries:

const pending = yield * ProcessOrder.compensation.pending(executionId);
yield * ProcessOrder.compensation.decidePending(executionId, "Retry");

retry starts the next Activity attempt. stop skips the failed compensation and continues with older compensations. The workflow keeps its original failure after compensation ends. An interrupt-only cause does not start compensation. An interrupted compensation does not wait for an operator decision. retry and stop are convenience methods over decide. Every decision checks the pending Step ID and attempt. A different pending attempt or durable decision fails with CompensationDecisionConflictError. A run without a pending attempt fails with CompensationNotPendingError.

decide waits until the durable winning decision is visible. Apply Effect.timeout at the application boundary when an operator request needs a time limit. pending reads the durable compensation history. Its work grows with the number of compensation attempts for that workflow execution.

Step IDs share the durable Activity namespace. Do not use a Step ID that is an encoded Encore internal tuple such as ["Compensate","charge-card"].

The default waitFor filter waits for a terminal result. It does not return a suspended result. Use an explicit filter when an operator must detect the wait:

const suspended =
  yield *
  ProcessOrder.waitFor(payload, {
    filter: (result) => result._tag === "Suspended",
  });

Keep captureDefects enabled for operator recovery from compensation defects.

Signal — external resolution

Signals are declared on WorkflowDef.signals and become typed properties on the actor:

// Defined on the workflow (see above)
// signals: { ManagerApproval: { success: ApprovalDecision } }

// Resolve from outside the workflow
const token = ProcessOrder.ManagerApproval.tokenFromExecutionId(executionId);
yield * ProcessOrder.ManagerApproval.succeed({ token, value: decision });

Sender-Only (Client Layer)

.send() (fire-and-forget dispatch) goes through the deep Client transport seam — one Context.Service Tag that owns the wire-envelope builder plus the mailbox/resolver/snowflake strategy internally. Consumer hosts that already have full Sharding.Sharding get the wiring for free from Actor.toLayer.

Sender-only / ops-only hosts that must NOT register entity managers wire ONE Client.layer.* adapter. Client.layer.fromConfig dispatches through MessageStorage directly — requires only MessageStorage + ShardingConfig, no Sharding runtime, no notifyLocal deadlock:

import { Layer } from "effect";
import { MessageStorage, ShardingConfig } from "effect/unstable/cluster";
import { ClientLayer } from "effect-encore";

const SenderSupport = ClientLayer.fromConfig.pipe(
  Layer.provide(MessageStorage.layerMemory), // or your durable storage
  Layer.provide(ShardingConfig.layer()),
);

// Or, for tests / single-process setups — bundle includes in-memory
// storage and default sharding config:
const SenderTest = ClientLayer.memory;

// (Consumer hosts that already host the cluster runtime use
// `ClientLayer.fromSharding`, which dispatches via `sharding.sendOutgoing`
// and bundles its own `Snowflake.Generator`.)

// Sends are durably enqueued; the consumer's storage poll loop picks them up
// on the next entityMessagePollInterval tick.
yield * Order.Place.send({ item: "widget", qty: 3 });

// Await the applied result from the same sender-only host — `.sendAndAwait`
// fires a durable `send` then polls the persisted reply until terminal.
// No local `Sharding` required (unlike `.execute`). The required `timeout`
// guards against unbounded sender-side polling; a persisted Failure surfaces
// in the error channel, and exceeding the timeout fails with
// `SendAndAwaitTimeout`.
const placed =
  yield * Order.Place.sendAndAwait({ item: "widget", qty: 3 }, { timeout: "30 seconds" });

Storage-only dispatch rejects non-persisted requests. Only persisted requests can cross this boundary. Mailbox and address resolution are internal Client strategies.

Client storage transactions

Client.withTransaction(effect) lets a host compose Client control operations with host storage work under the selected Effect MessageStorage transaction boundary. Rollback and nesting behavior come from that storage adapter. SQL storage uses the shared SqlClient transaction and nested savepoints. Memory storage provides only the transaction behavior defined by Effect's memory adapter.

Test

const OrderTest = Actor.toTestLayer(Order, {
  Place: ({ operation }) => Effect.succeed(`order: ${operation.item}`),
  Cancel: () => Effect.void,
});

const ProcessOrderTest = Actor.toTestLayer(ProcessOrder, (payload, step) =>
  Effect.gen(function* () {
    yield* step.run("work", {
      do: Effect.succeed("done"),
      success: Schema.String,
    });
    return { orderId: payload.orderId, status: "ok" };
  }),
);

const test = it.scopedLive.layer(Layer.provide(OrderTest, TestShardingConfig));

test("places an order", () =>
  Effect.gen(function* () {
    const ref = yield* Order.ref("ord-1");
    const result = yield* ref.execute(Order.Place({ item: "widget", qty: 1 }));
    expect(result).toBe("order: widget");
  }));

Lifecycle

// Workflow: cancel + resume
yield * ProcessOrder.interrupt("ord-1");
yield * ProcessOrder.resume("ord-1");

// Entity: flush all messages + replies
yield * Order.flush("ord-1");

// Entity: redeliver — clear read leases so unprocessed messages re-enter polling
yield * Order.redeliver("ord-1");

Protocol Transform

Transform the underlying RpcGroup protocol — middleware, annotations, or any protocol-level operation:

import { RpcMiddleware } from "effect/unstable/rpc";

class AuthMiddleware extends RpcMiddleware.Service<AuthMiddleware>()("AuthMiddleware", {
  error: Schema.Never,
}) {}

const SecureOrder = Actor.fromEntity("Order", defs).pipe(
  Actor.withProtocol((protocol) => protocol.middleware(AuthMiddleware)),
);

PeekResult Schema

Encode/decode PeekResult values for serialization:

import { PeekResultSchema } from "effect-encore";

const schema = PeekResultSchema(Schema.String, OrderError);
const decode = Schema.decodeUnknownSync(schema);
const encode = Schema.encodeSync(schema);

Delayed Delivery

const Scheduled = Actor.fromEntity("Scheduled", {
  Process: {
    payload: { id: Schema.String, deliverAt: Schema.DateTimeUtc },
    id: (p) => p.id,
    deliverAt: (p) => p.deliverAt,
    persisted: true,
  },
});

License

MIT