Files
triggerdotdev--trigger.dev/.server-changes
Eric Allam 540e1c86a4 feat: Input Streams - Bidirectional task communication (#3146)
Input streams enable sending typed data to executing tasks from external
callers — backends, frontends, or other tasks. This unlocks interactive
use cases like approval UIs, cancel buttons, chat interfaces, and
human-in-the-loop AI workflows where the task needs to receive data
while running.

Three consumption patterns inside a task:

* `.wait()` — Suspend the task until data arrives (process freed, most
efficient)
* `.once()` — Wait for the next message (process stays alive)
* `.on()` — Subscribe to a continuous stream of messages

One send pattern from outside:

* `.send(runId, data)` — Send typed data to a specific run's input
stream

## User-facing API

### Define a typed input stream

```ts
import { streams, task } from "@trigger.dev/sdk";

const approval = streams.input<{ approved: boolean; reviewer: string }>({ id: "approval" });
```

### Consume inside a task

```ts
export const myTask = task({
  id: "my-task",
  run: async () => {
    // Pattern 1: Suspend until data arrives (most efficient — frees the process)
    const result = await approval.wait({ timeout: "5m" });

    // Pattern 2: Wait for next message (process stays alive)
    const data = await approval.once().unwrap();

    // Pattern 3: Subscribe to multiple messages
    approval.on((data) => { /* handle each message */ });
  },
});
```

### Send from outside

```ts
// From a backend (using secret API key)
await approval.send(runId, { approved: true, reviewer: "alice" });

// From a frontend (using public JWT token from trigger response)
const { send } = useInputStreamSend("approval", runId, { accessToken });
send({ approved: true, reviewer: "alice" });
```

---------

Co-authored-by: Claude <noreply@anthropic.com>
2026-03-02 16:49:54 +00:00
..

Server Changes

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File format

Create a markdown file with a descriptive name:

.server-changes/fix-batch-queue-stalls.md

With this format:

---
area: webapp
type: fix
---

Speed up batch queue processing by removing stalls and fixing retry race

Fields

  • area (required): webapp | supervisor | coordinator | kubernetes-provider | docker-provider
  • type (required): feature | fix | improvement | breaking

Description

The body text (below the frontmatter) is a one-line description of the change. Keep it concise — it will appear in release notes.

Lifecycle

  1. Engineer adds a .server-changes/ file in their PR
  2. Files accumulate on main as PRs merge
  3. The changeset release PR includes these in its summary
  4. After the release merges, CI cleans up the consumed files

Examples

New feature:

---
area: webapp
type: feature
---

TRQL query language and the Query page

Bug fix:

---
area: webapp
type: fix
---

Fix schedule limit counting for orgs with custom limits

Improvement:

---
area: webapp
type: improvement
---

Use the replica for API auth queries to reduce primary load