Plan enforcement for the dashboard agent — message quota and watch limits — plus the component gallery, fixes and test hardening from the same stack (#4548, #4549, #4550, #4552, #4556 merged here). ## Plan enforcement ([TRI-12863](https://linear.app/triggerdotdev/issue/TRI-12863)) **Agent message quota.** The Free-plan allowance becomes a real server-side limit with a durable counter. New `agent_message_usage` table keyed `(organization_id, period)` — deliberately not joined to chats, so deleting a chat can't free quota within the period. Both send paths count one user message (wakes never count) and refuse at the cap with `403 message_quota_reached`, which the client renders as an upgrade panel, never a silent drop. The refusal code is a single shared constant on both sides. **Watch limits.** A watch whose window exceeds the plan's `agentWatchMaxHours`, or that would push the org past its `agentWatchers` count, is refused with `watch_limit_reached` (409 on the API, an upgrade hint on the card). Plan limits only tighten the existing code ceilings (`min(plan, 24h)`, per-chat cap of 3 still applies). A plan limit of zero means zero, not unlimited. Questions answerable instantly are answered before any plan refusal — a one-shot consumes no slot and never sees an upgrade nag. **Fails open by design.** Cloud ships the actual per-plan numbers separately (TRI-12863 P0). Until then absent limits resolve to the unlimited sentinel and the upgrade UI is gated on billing presence — self-hosted sees no cap, no upsell, with tests proving the fallback. Both quotas are nudges, not security boundaries: a failing limit read never blocks a send. ## Component gallery An admin-only gallery of every agent card state: five `storybook.agent-*` pages (chat UI, view blocks, report, investigation, watch) with their shared shell and manifest, demo fixtures, two demo-only cards, toast examples, and the screenshot script. No LLM and no data — every state renders from fixtures under `dashboard-agent/demo/`, never reachable from a production path. Designers and reviewers can look at every state, including the report states, without seeding anything. ## And fixes **SDK: watch-mode chat subscriptions survive quiet windows** (TRI-13065, TRI-13070) — watch mode keeps reconnecting across empty long-poll windows and only stops on abort or a settled session; a passive subscriber can no longer stop a turn it doesn't own (`stopOnAbort` is explicit, default off). Review findings fixed alongside: a superseded stream's async teardown no longer removes the live successor's abort controller or multi-tab claim, and stopping a generation hands the chat back to the user's other tabs. **Query boundary pinned end-to-end** ([TRI-11165](https://linear.app/triggerdotdev/issue/TRI-11165)) — a route-level test drives `api.v1.query` with a real signed environment JWT (writes refused before ClickHouse, a read passes); `readonly=1` made non-overridable; a per-turn cap stops the model burning a turn rewriting a query it can't fix (deterministic SQL errors only — busy/transport rejections don't count). **chat.agent durability regression suite** ([TRI-11166](https://linear.app/triggerdotdev/issue/TRI-11166)) — testcontainers-backed coverage of the two audit criticals (cross-tenant isolation, no duplicate mid-stream turn, both control-broken) plus crash-resume, cursor-based refresh, clean rollback of a mid-write turn failure (torn by a real constraint violation), and OOM-restart replay. **Investigation sweep backoff** — stale investigations get an attempt counter and backoff so a poison row can't pin the sweep queue head (migration `0005`: `sweep_attempts`, `last_sweep_attempt_at`). ## Screenshots <img width="1440" height="791" alt="Screenshot 2026-08-06 at 00 36 19" src="https://github.com/user-attachments/assets/6a68cd42-8580-469d-afe7-e28d1eef18e1" /> 🤖 Generated with [Claude Code](https://claude.com/claude-code)
Build and deploy fully‑managed AI agents and workflows
Website | Docs | Issues | Example projects | Feature requests | Public roadmap | Self-hosting
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.
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Long-running without timeouts: Execute your tasks with absolutely no timeouts, unlike AWS Lambda, Vercel, and other serverless platforms.
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Durability, retries & queues: Build rock solid agents and AI applications using our durable tasks, retries, queues and idempotency.
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True runtime freedom: Customize your deployed tasks with system packages – run browsers, Python scripts, FFmpeg and more.
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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.
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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.

