## What
The environment variables settings page loaded **every** variable in the
project in one shot, with a nested `values` read plus a `valueReference`
(SecretReference) sub-load that was selected but never read. For a
project with many variables this pulled `variables × environments` value
rows (~18k for large projects) on every page load, plus a matching
~18k-row `SecretReference IN` query.
This paginates the presenter by variable key and removes the dead
include.
- Remove the never-read `valueReference: { select: { key } }` include →
the `SecretReference` query is gone entirely.
- Paginate the parent variable query: `count` + `orderBy key` +
`skip/take`, page size 50 → the value read is bounded to `pageSize ×
environments` per page.
- Scope the count and the page to variables that have a value in a
displayed environment (`values: { some: { environmentId: { in } } }`),
so `totalCount`/`totalPages` and the `skip/take` window match what
actually renders (no phantom empty pages from variables that live only
in archived branches or another member's dev env).
- Display order comes from the DB `orderBy: { key: "asc" }` — the
presenter no longer re-sorts each page with `localeCompare`, which under
pagination could disagree with the DB collation at page boundaries.
- The secret-value lookup (`SecretStore` keys) and the updater lookup
(`user` by id) are now scoped to the current page instead of the whole
project.
- Search moves server-side (variable key, case-insensitive) and drives
both the count and the page; the UI gains standard pagination controls.
## Why
The two correlated ~18k-row control-plane queries flagged in the ticket
come from this settings-page presenter, not from any hot path. Both are
index-covered (`rows_read == rows_returned`); the issue is the sheer
volume fetched in one burst. Bounding it per page removes the burst.
## Evidence
Measured on an isolated stack with a seeded project of 1000 variables ×
3 environments (3000 value rows), using Prisma's emitted-SQL log:
| | SecretReference query | value rows fetched |
| --- | --- | --- |
| before | 1 | 3000 |
| after | **0** | **150** (page 1) + one `count` |
`EXPLAIN` on Prisma's verbatim statements (index confirmed via
`enable_seqscan=off`; the local table is too small for the planner to
choose them by default):
- `count` (`WHERE projectId AND EXISTS(values in displayed envs)`) →
Hash Join: Index Scan on `EnvironmentVariable_pkey` + Bitmap Index Scan
on `EnvironmentVariableValue_environmentId_idx`
- paginated parent (`WHERE projectId AND EXISTS(...) ORDER BY key
LIMIT/OFFSET`) → Nested Loop Semi Join: Index Scan on
`EnvironmentVariable_projectId_key_key` (**no Sort node**) driving an
Index-Only Scan on
`EnvironmentVariableValue_variableId_environmentId_key`
- nested values (`variableId = ANY … AND environmentId = ANY …`) → index
scan on `EnvironmentVariableValue_environmentId_idx`
- `SecretStore` keys (`key = ANY …`) → index scan on
`SecretStore_key_idx`
No new index required. Verified in the browser on the seeded project: 20
pages, page navigation, server-side search (matches across all pages),
last page renders, no app console errors. `typecheck`, `oxlint`, `oxfmt`
all clean.
## Behavior change
The previous client-side search matched variable **name and value** (and
environment type / branch name). Values are encrypted at rest and
resolved separately, so they cannot be searched server-side under
pagination. Search is now **variable-name only**, server-side,
case-insensitive. Projects with fewer than one page of variables see no
pagination bar and no visible change.
## Rollout / rollback
Pure read-path change on a dashboard loader, no schema or data
migration. Rollback is a straight revert.
## Screenshots
<img width="2400" height="1794" alt="01-page1"
src="https://github.com/user-attachments/assets/d4a7effd-d167-4dd6-92f4-6e9174818acd"
/>
<img width="2400" height="1794" alt="02-search-single"
src="https://github.com/user-attachments/assets/cd113ca9-ff87-431f-b2f6-7f7d36f2b32a"
/>
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.
-
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.
-
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.

