# trigger.dev v4.4.2
## Summary
2 new features, 2 improvements, 8 bug fixes.
## Improvements
- Add input streams for bidirectional communication with running tasks.
Define typed input streams with `streams.input<T>({ id })`, then consume
inside tasks via `.wait()` (suspends the process), `.once()` (waits for
next message), or `.on()` (subscribes to a continuous stream). Send data
from backends with `.send(runId, data)` or from frontends with the new
`useInputStreamSend` React hook.
([#3146](https://github.com/triggerdotdev/trigger.dev/pull/3146))
- Add PAYLOAD_TOO_LARGE error to handle graceful recovery of sending
batch trigger items with payloads that exceed the maximum payload size
([#3137](https://github.com/triggerdotdev/trigger.dev/pull/3137))
## Bug fixes
- Fix slow batch queue processing by removing spurious cooloff on
concurrency blocks and fixing a race condition where retry attempt
counts were not atomically updated during message re-queue.
([#3079](https://github.com/triggerdotdev/trigger.dev/pull/3079))
- fix(sdk): batch triggerAndWait variants now return correct
run.taskIdentifier instead of unknown
([#3080](https://github.com/triggerdotdev/trigger.dev/pull/3080))
## Server changes
These changes affect the self-hosted Docker image and Trigger.dev Cloud:
- Two-level tenant dispatch architecture for batch queue processing.
Replaces the
single master queue with a two-level index: a dispatch index (tenant →
shard)
and per-tenant queue indexes (tenant → queues). This enables O(1) tenant
selection and fair scheduling across tenants regardless of queue count.
Improves batch queue processing performance.
([#3133](https://github.com/triggerdotdev/trigger.dev/pull/3133))
- Add input streams with API routes for sending data to running tasks,
SSE reading, and waitpoint creation. Includes Redis cache for fast
`.send()` to `.wait()` bridging, dashboard span support for input stream
operations, and s2-lite support with configurable S2 endpoint, access
token skipping, and S2-Basin headers for self-hosted deployments. Adds
s2-lite to Docker Compose for local development.
([#3146](https://github.com/triggerdotdev/trigger.dev/pull/3146))
- Speed up batch queue processing by disabling cooloff and increasing
the batch queue processing concurrency limits on the cloud:
- Pro plan: increase to 50 from 10.
- Hobby plan: increase to 10 from 5.
- Free plan: increase to 5 from 1.
([#3079](https://github.com/triggerdotdev/trigger.dev/pull/3079))
- Move batch queue global rate limiter from FairQueue claim phase to
BatchQueue worker queue consumer for accurate per-item rate limiting.
Add worker queue depth cap to prevent unbounded growth that could cause
visibility timeouts.
([#3166](https://github.com/triggerdotdev/trigger.dev/pull/3166))
- Fix a race condition in the waitpoint system where a run could be
blocked by a completed waitpoint but never be resumed because of a
PostgreSQL MVCC issue. This was most likely to occur when creating a
waitpoint via `wait.forToken()` at the same moment as completing the
token with `wait.completeToken()`. Other types of waitpoints (timed,
child runs) were not affected.
([#3075](https://github.com/triggerdotdev/trigger.dev/pull/3075))
- Fix metrics dashboard chart series colors going out of sync and
widgets not reloading stale data when scrolled back into view
([#3126](https://github.com/triggerdotdev/trigger.dev/pull/3126))
- Gracefully handle oversized batch items instead of aborting the
stream.
When an NDJSON batch item exceeds the maximum size, the parser now emits
an error marker instead of throwing, allowing the batch to seal
normally. The oversized item becomes a pre-failed run with
`PAYLOAD_TOO_LARGE` error code, while other items in the batch process
successfully. This prevents `batchTriggerAndWait` from seeing connection
errors and retrying with exponential backoff.
Also fixes the NDJSON parser not consuming the remainder of an oversized
line split across multiple chunks, which caused "Invalid JSON" errors on
subsequent lines.
([#3137](https://github.com/triggerdotdev/trigger.dev/pull/3137))
- Require the user is an admin during an impersonation session.
Previously only the impersonation cookie was checked; now the real
user's admin flag is verified on every request. If admin has been
revoked, the session falls back to the real user's ID.
([#3078](https://github.com/triggerdotdev/trigger.dev/pull/3078))
<details>
<summary>Raw changeset output</summary>
# Releases
## @trigger.dev/build@4.4.2
### Patch Changes
- Updated dependencies:
- `@trigger.dev/core@4.4.2`
## trigger.dev@4.4.2
### Patch Changes
- Updated dependencies:
- `@trigger.dev/build@4.4.2`
- `@trigger.dev/core@4.4.2`
- `@trigger.dev/schema-to-json@4.4.2`
## @trigger.dev/python@4.4.2
### Patch Changes
- Updated dependencies:
- `@trigger.dev/sdk@4.4.2`
- `@trigger.dev/build@4.4.2`
- `@trigger.dev/core@4.4.2`
## @trigger.dev/react-hooks@4.4.2
### Patch Changes
- Add input streams for bidirectional communication with running tasks.
Define typed input streams with `streams.input<T>({ id })`, then consume
inside tasks via `.wait()` (suspends the process), `.once()` (waits for
next message), or `.on()` (subscribes to a continuous stream). Send data
from backends with `.send(runId, data)` or from frontends with the new
`useInputStreamSend` React hook.
([#3146](https://github.com/triggerdotdev/trigger.dev/pull/3146))
Upgrade S2 SDK from 0.17 to 0.22 with support for custom endpoints
(s2-lite) via the new `endpoints` configuration, `AppendRecord.string()`
API, and `maxInflightBytes` session option.
- Updated dependencies:
- `@trigger.dev/core@4.4.2`
## @trigger.dev/redis-worker@4.4.2
### Patch Changes
- Fix slow batch queue processing by removing spurious cooloff on
concurrency blocks and fixing a race condition where retry attempt
counts were not atomically updated during message re-queue.
([#3079](https://github.com/triggerdotdev/trigger.dev/pull/3079))
- Updated dependencies:
- `@trigger.dev/core@4.4.2`
## @trigger.dev/rsc@4.4.2
### Patch Changes
- Updated dependencies:
- `@trigger.dev/core@4.4.2`
## @trigger.dev/schema-to-json@4.4.2
### Patch Changes
- Updated dependencies:
- `@trigger.dev/core@4.4.2`
## @trigger.dev/sdk@4.4.2
### Patch Changes
- Add input streams for bidirectional communication with running tasks.
Define typed input streams with `streams.input<T>({ id })`, then consume
inside tasks via `.wait()` (suspends the process), `.once()` (waits for
next message), or `.on()` (subscribes to a continuous stream). Send data
from backends with `.send(runId, data)` or from frontends with the new
`useInputStreamSend` React hook.
([#3146](https://github.com/triggerdotdev/trigger.dev/pull/3146))
Upgrade S2 SDK from 0.17 to 0.22 with support for custom endpoints
(s2-lite) via the new `endpoints` configuration, `AppendRecord.string()`
API, and `maxInflightBytes` session option.
- fix(sdk): batch triggerAndWait variants now return correct
run.taskIdentifier instead of unknown
([#3080](https://github.com/triggerdotdev/trigger.dev/pull/3080))
- Add PAYLOAD_TOO_LARGE error to handle graceful recovery of sending
batch trigger items with payloads that exceed the maximum payload size
([#3137](https://github.com/triggerdotdev/trigger.dev/pull/3137))
- Updated dependencies:
- `@trigger.dev/core@4.4.2`
## @trigger.dev/core@4.4.2
</details>
---------
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Build and deploy fully‑managed AI agents and workflows
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About Trigger.dev
Trigger.dev is the open-source platform for building AI workflows in TypeScript. Long-running tasks with retries, queues, observability, and elastic scaling.
The platform designed for building AI agents
Build AI agents using all the frameworks, services and LLMs you're used to, deploy them to Trigger.dev and get durable, long-running tasks with retries, queues, observability, and elastic scaling out of the box.
-
Long-running without timeouts: Execute your tasks with absolutely no timeouts, unlike AWS Lambda, Vercel, and other serverless platforms.
-
Durability, retries & queues: Build rock solid agents and AI applications using our durable tasks, retries, queues and idempotency.
-
True runtime freedom: Customize your deployed tasks with system packages – run browsers, Python scripts, FFmpeg and more.
-
Human-in-the-loop: Programmatically pause your tasks until a human can approve, reject or give feedback.
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Realtime apps & streaming: Move your background jobs to the foreground by subscribing to runs or streaming AI responses to your app.
-
Observability & monitoring: Each run has full tracing and logs. Configure error alerts to catch bugs fast.
Key features:
- JavaScript and TypeScript SDK - Build background tasks using familiar programming models
- Long-running tasks - Handle resource-heavy tasks without timeouts
- Durable cron schedules - Create and attach recurring schedules of up to a year
- Trigger.dev Realtime - Trigger, subscribe to, and get real-time updates for runs, with LLM streaming support
- Build extensions - Hook directly into the build system and customize the build process. Run Python scripts, FFmpeg, browsers, and more.
- React hooks - Interact with the Trigger.dev API on your frontend using our React hooks package
- Batch triggering - Use batchTrigger() to initiate multiple runs of a task with custom payloads and options
- Structured inputs / outputs - Define precise data schemas for your tasks with runtime payload validation
- Waits - Add waits to your tasks to pause execution for a specified duration
- Preview branches - Create isolated environments for testing and development. Integrates with Vercel and git workflows
- Waitpoints - Add human-in-the-loop judgment at critical decision points without disrupting workflow
- Concurrency & queues - Set concurrency rules to manage how multiple tasks execute
- Multiple environments - Support for DEV, PREVIEW, STAGING, and PROD environments
- No infrastructure to manage - Auto-scaling infrastructure that eliminates timeouts and server management
- Automatic retries - If your task encounters an uncaught error, we automatically attempt to run it again
- Checkpointing - Tasks are inherently durable, thanks to our checkpointing feature
- Versioning - Atomic versioning allows you to deploy new versions without affecting running tasks
- Machines - Configure the number of vCPUs and GBs of RAM you want the task to use
- Observability & monitoring - Monitor every aspect of your tasks' performance with comprehensive logging and visualization tools
- Logging & tracing - Comprehensive logging and tracing for all your tasks
- Tags - Attach up to ten tags to each run, allowing you to filter via the dashboard, realtime, and the SDK
- Run metadata - Attach metadata to runs which updates as the run progresses and is available to use in your frontend for live updates
- Bulk actions - Perform actions on multiple runs simultaneously, including replaying and cancelling
- Real-time alerts - Choose your preferred notification method for run failures and deployments
Write tasks in your codebase
Create tasks where they belong: in your codebase. Version control, localhost, test and review like you're already used to.
import { task } from "@trigger.dev/sdk";
//1. You need to export each task
export const helloWorld = task({
//2. Use a unique id for each task
id: "hello-world",
//3. The run function is the main function of the task
run: async (payload: { message: string }) => {
//4. You can write code that runs for a long time here, there are no timeouts
console.log(payload.message);
},
});
Deployment
Use our SDK to write tasks in your codebase. There's no infrastructure to manage, your tasks automatically scale and connect to our cloud. Or you can always self-host.
Environments
We support Development, Staging, Preview, and Production environments, allowing you to test your tasks before deploying them to production.
Full visibility of every job run
View every task in every run so you can tell exactly what happened. We provide a full trace view of every task run so you can see what happened at every step.
Getting started
The quickest way to get started is to create an account and project in our web app, and follow the instructions in the onboarding. Build and deploy your first task in minutes.
Useful links:
- Quick start - get up and running in minutes
- How it works - understand how Trigger.dev works under the hood
- Guides and examples - walk-through guides and code examples for popular frameworks and use cases
Self-hosting
If you prefer to self-host Trigger.dev, you can follow our self-hosting guides:
- Docker self-hosting guide - use Docker Compose to spin up a Trigger.dev instance
- Kubernetes self-hosting guide - use our official Helm chart to deploy Trigger.dev to your Kubernetes cluster
Support and community
We have a large active community in our official Discord server for support, including a dedicated channel for self-hosting.
Development
To setup and develop locally or contribute to the open source project, follow our development guide.

