## Summary
Currently, every triggered run follows a two-step path through Redis:
1. **Enqueue** — A Lua script atomically adds the message to a queue
sorted set (ordered by priority-adjusted timestamp)
2. **Dequeue** — A debounced `processQueueForWorkerQueue` job fires
~500ms later, checks concurrency limits, removes the message from the
sorted set, and pushes it to a worker queue (Redis list) where workers
pick it up via `BLPOP`
This means every run pays at least ~500ms of latency between being
triggered and being available for a worker to execute, even when the
queue is empty and concurrency is wide open.
### What changed
The enqueue Lua scripts now atomically decide whether to **skip the
queue sorted set entirely** and push directly to the worker queue. This
happens inside the same Lua script that handles normal enqueue, so the
decision is atomic with respect to concurrency bookkeeping.
A run takes the **fast path** when all of these are true:
- **Fast path is enabled** for this worker queue (gated per
`WorkerInstanceGroup`)
- **No available messages** in the queue (`ZRANGEBYSCORE` finds nothing
with score ≤ now) — this respects priority ordering and allows fast path
even when the queue has future-scored messages (e.g. nacked retries with
delay)
- **Environment concurrency** has capacity
- **Queue concurrency** has capacity (including per-concurrency-key
limits for CK queues)
When the fast path is taken:
- The message is stored and pushed directly to the worker queue
(`RPUSH`)
- Concurrency slots are claimed (`SADD` to the same sets used by the
normal dequeue path)
- The `processQueueForWorkerQueue` job is **not scheduled** (no work to
do)
- TTL sorted set is skipped (the `expireRun` worker job handles TTL
independently)
When any condition fails, the existing slow path runs unchanged.
### Rollout gating
- **Development environments**: Fast path is always enabled
- **Production environments**: Gated by a new `enableFastPath` boolean
on `WorkerInstanceGroup` (defaults to `false`), allowing
region-by-region rollout
### Rolling deploy safety
Each process registers its own Lua scripts via `defineCommand`
(identified by SHA hash). Old and new processes never share scripts. The
Redis data structures are fully compatible in both directions — ack,
nack, and release operations work identically regardless of which path a
message took.
## Test plan
- [x] Fast path taken when queue is empty and concurrency available
- [x] Slow path when `enableFastPath` is false
- [x] Slow path when queue has available messages (respects priority
ordering)
- [x] Fast path when queue only has future-scored messages
- [x] Slow path when env concurrency is full
- [x] Fast-path message can be acknowledged correctly
- [x] Fast-path message can be nacked and re-enqueued to the queue
sorted set
- [x] Run all existing run-queue tests (ack, nack, CK, concurrency
sweeper, dequeue) to verify no regressions
- [x] Typecheck passes for run-engine and webapp
Add TTL (time-to-live) defaults at task-level and config-level, with
precedence: per-trigger > task > config > dev default (10m).
Docs PR: #3200 (merge after packages are released)
For human reviewer:
- Check if Redis connection + code makes sense
- Check CLI methods (it's on a hotpath)
- Check DB Migrations and new tables
## ✅ Checklist
- [x] I have followed every step in the [contributing
guide](https://github.com/triggerdotdev/trigger.dev/blob/main/CONTRIBUTING.md)
- [x] The PR title follows the convention.
- [x] I ran and tested the code works
---
## Testing
Spawning new CLI / Dashboard notifications, check MVP, check if failures
not produce any problems with CLI/Dashboard
---
## Changelog
Added notifications mechanism for Dashboard and CLI
---
## Screenshots
💯
Adds three new top-level columns to the ClickHouse task_runs_v2 table
primarily for analytics:
- `trigger_source` / `root_trigger_source` - extracted from the existing
TaskRun.annotations JSON during WAL
replication
- `is_warm_start` - new nullable boolean on TaskRun in Postgres, set in
the existing taskRun.update() at attempt
start (no additional write). null until the first attempt starts.
Run region is already available via the existing `worker_queue` column
in ClickHouse.
Adds an `annotations` JSONB column to task runs that captures where and
how each run was triggered.
This enables filtering and analyzing trigger origins without querying up
the run tree. Also enables making scheduling decisions based on the
trigger source, e.g., use separate affinities for scheduled runs.
Each run records:
- **triggerSource**: who initiated it (sdk, api, dashboard, cli, mcp,
schedule)
- **triggerAction**: what kind of action (trigger, replay, test)
- **rootTriggerSource**: the trigger source of the root ancestor,
propagated through the entire run
tree
- **rootScheduleId**: schedule id, in case the run tree was triggered
from a schedule
Currently the main motivation for annotations it to determine whether a
run is part of a schedule-originated tree without traversing ancestors.
### A couple of design considerations
- **Decoupled source from method**: triggerSource and triggerAction are
separate fields to avoid
combinatorial explosion (every new source × every new action)
- **Server-side first**: all annotation values are primarily determined
on the server, only a minor SDK change needed
- **Forward-compatible**: annotation fields use
`z.enum([...]).or(anyString)` so new values can be
added without breaking validation; we currently don't need an explicit
version field for annotations.
Note: `metadata` would have been a more fitting name for the db column,
as it is consistent with other tables where we store this type of
information. It is already in use to store user metadata though, so we
go with `annotations` instead.
- Full prompt management UI: list, detail, override, and version
management for AI prompts defined with `prompts.define()`
- Rich AI span inspectors for all AI SDK operations with token usage,
messages, and prompt context
- Real-time generation tracking with live polling and filtering
## Prompt management
Define prompts in your code with `prompts.define()`, then manage
versions and overrides from the dashboard without redeploying:
```typescript
import { task, prompts } from "@trigger.dev/sdk";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
import { z } from "zod";
const supportPrompt = prompts.define({
id: "customer-support",
model: "gpt-4o",
variables: z.object({
customerName: z.string(),
plan: z.string(),
issue: z.string(),
}),
content: `You are a support agent for Acme SaaS.
Customer: {{customerName}} ({{plan}} plan)
Issue: {{issue}}
Respond with empathy and precision.`,
});
export const supportTask = task({
id: "handle-support",
run: async (payload) => {
const resolved = await supportPrompt.resolve({
customerName: payload.name,
plan: payload.plan,
issue: payload.issue,
});
const result = await generateText({
model: openai(resolved.model ?? "gpt-4o"),
system: resolved.text,
prompt: payload.issue,
...resolved.toAISDKTelemetry(),
});
return { response: result.text };
},
});
```
The prompts list page shows each prompt with its current version, model,
override status, and a usage sparkline over the last 24 hours.
From the prompt detail page you can:
- **Create overrides** to change the prompt template or model without
redeploying. Overrides take priority over the deployed version when
`prompt.resolve()` is called.
- **Promote** any code-deployed version to be the current version
- **Browse generations** across all versions with infinite scroll and
live polling for new results
- **Filter** by version, model, operation type, and provider
- **View metrics** (total generations, avg tokens, avg cost, latency)
broken down by version
## AI span inspectors
Every AI SDK operation now gets a custom inspector in the run trace
view:
- **`ai.generateText` / `ai.streamText`** — Shows model, token usage,
cost, the full message thread (system prompt, user message, assistant
response), and linked prompt details
- **`ai.generateObject` / `ai.streamObject`** — Same as above plus the
JSON schema and structured output
- **`ai.toolCall`** — Shows tool name, call ID, and input arguments
- **`ai.embed`** — Shows model and the text being embedded
For generation spans linked to a prompt, a "Prompt" tab shows the prompt
metadata, the input variables passed to `resolve()`, and the template
content from the prompt version.
All AI span inspectors include a compact timestamp and duration header.
## Other improvements
- Resizable panel sizes now persist across page refreshes (patched
`@window-splitter/state` to fix snapshot restoration)
- Run page panels also persist their sizes
- Fixed `<div>` inside `<p>` DOM nesting warnings in span titles and
chat messages
- Added Operations and Providers filters to the AI metrics dashboard
## Screenshots
<img width="3680" height="2392" alt="CleanShot 2026-03-21 at 10 14
17@2x"
src="https://github.com/user-attachments/assets/f3e59989-a2fa-4990-a9d0-3cacda431868"
/>
<img width="3680" height="2392" alt="CleanShot 2026-03-21 at 10 15
37@2x"
src="https://github.com/user-attachments/assets/2f2d02df-2d2b-44fb-ac6f-9153f6a6c387"
/>
<img width="3680" height="2392" alt="CleanShot 2026-03-21 at 10 15
54@2x"
src="https://github.com/user-attachments/assets/baa161e0-ef91-4fa4-a55f-986b71cccdf0"
/>
- Automatic LLM cost enrichment for AI SDK spans (streamText,
generateText, generateObject) or any other spans that use semantic
gen_ai attributes with support for 145+ models
- New AI span inspector sidebar showing model, tokens, cost, messages,
tool calls, and response text
- LLM metrics dual-write to ClickHouse `llm_metrics_v1` table for
analytics
- LLM metrics built-in dashboard (unlinked at the moment)
- Provider cost fallback — uses gateway/OpenRouter reported costs from
`providerMetadata` when registry pricing is unavailable
- Prefix-stripping for gateway/OpenRouter model names (e.g.
`mistral/mistral-large-3` matches `mistral-large-3` pricing)
- Admin dashboard for managing LLM model pricing (list, create, edit,
delete, search, test pattern matching)
- Missing models detection page — queries ClickHouse for unpriced models
with sample spans and Claude Code-ready prompts for adding pricing
- AI span seed script (`pnpm run db:seed:ai-spans`) with 51 spans across
12 provider systems for local dev testing
- UI fixes: `completionTokens`/`promptTokens` aliases,
`ai.response.object` display for generateObject, cache read/write token
breakdown
## Screenshots:
<img width="1030" height="104" alt="CleanShot 2026-03-17 at 16 48 54@2x"
src="https://github.com/user-attachments/assets/bc8fccda-e48b-4d0c-bfb1-e620064e5979"
/>
<img width="1094" height="1512" alt="CleanShot 2026-03-17 at 16 49
23@2x"
src="https://github.com/user-attachments/assets/c2424569-d07e-4d67-a436-e8250043a1ee"
/>
<img width="1074" height="1412" alt="CleanShot 2026-03-17 at 16 49
18@2x"
src="https://github.com/user-attachments/assets/22342ac4-4769-45d1-a328-a24fb9a82a50"
/>
<img width="1012" height="2292" alt="CleanShot 2026-03-17 at 16 39
01@2x"
src="https://github.com/user-attachments/assets/59e327d1-6652-4293-8be0-bb8326e5fbc5"
/>
<img width="3680" height="2392" alt="CleanShot 2026-03-15 at 08 29
38@2x"
src="https://github.com/user-attachments/assets/1f77beb8-de67-495b-b890-bcdb8d7f1fe8"
/>
---------
Co-authored-by: James Ritchie <james@trigger.dev>
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>
- New User onboarding questions added and stored in a new
`onboardingData` col
- Keeps the same Org creation screen and stores the data in the same
format in same DB column
- New Org onboarding questions addded and stored in a new
`onboardingData` col
https://github.com/user-attachments/assets/244e4bae-f74d-4ed4-a545-92c9b927e98b
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Summary
- Implemented metrics dashboards with a built-in dashboard and custom
dashboards
- Added a "Big number” display type
What changed
- New data format for metric layouts and saving/editing layouts
(editing, saving, cancel revert)
- QueryWidget usable on Query page and Metrics dashboards
- Time filtering, auto-reloading and timeBucket() auto-bin support
- Filters added to metrics; widget popover/improved history and blank
states
- Side menu:
- Metrics/Insights section with icons, colors, padding, collapsible
behavior and reordering of custom dashboards
- Move action logic into service for reuse and API querying; refactor
reordering for reuse
<!-- devin-review-badge-begin -->
---
<a
href="https://app.devin.ai/review/triggerdotdev/trigger.dev/pull/3019"
target="_blank">
<picture>
<source media="(prefers-color-scheme: dark)"
srcset="https://static.devin.ai/assets/gh-open-in-devin-review-dark.svg?v=1">
<img
src="https://static.devin.ai/assets/gh-open-in-devin-review-light.svg?v=1"
alt="Open with Devin">
</picture>
</a>
<!-- devin-review-badge-end -->
---------
Co-authored-by: James Ritchie <james@trigger.dev>
Summary
- Query: add time limits, performance improvements, and styling updates
Changes
- Add ClickHouse output_text and error_text columns with indexes
- Automatically use _text columns for JSON based on query pattern;
support JSON column data prefixes
- Add idempotency key and scope columns
- Add enforcedWhereClause for tenant and time restrictions, instead of
the old tenant stuff.
- Implement basic time filter limiting and set default time period based
on plan; show message when results are clipped
- UX: resizable code area (including vertical splits), collapsible
sidebar, fix table/chart vertical sizing, max height for chart legend in
fullscreen
- Styling and UI tweaks: improved chart legend styling, more chart
colours, thinner line chart stroke, pricing callout color, improved
layout for callouts
- Features: generate and save AI titles
<!-- devin-review-badge-begin -->
---
<a
href="https://app.devin.ai/review/triggerdotdev/trigger.dev/pull/2953">
<picture>
<source media="(prefers-color-scheme: dark)"
srcset="https://static.devin.ai/assets/gh-open-in-devin-review-dark.svg?v=1">
<img
src="https://static.devin.ai/assets/gh-open-in-devin-review-light.svg?v=1"
alt="Open with Devin">
</picture>
</a>
<!-- devin-review-badge-end -->
## Summary
- Adds `IF NOT EXISTS` to the migration that adds
`idempotencyKeyOptions` column to prevent errors if the column already
exists
## Migration Checksum Fix
If you've already applied the previous version of this migration, you'll
need to update the checksum in your `_prisma_migrations` table to match
the new migration file.
**Previous checksum:**
`f8876e274e3f7735312275eb24a9c4b40f512ac12a286b2de3add47f66df5b27`
**New checksum:**
`0620a914ddbaf01279576274432e51c41f41502cd4c8de38621625380750e397`
### Fix instructions
Run this SQL command against your database:
```sql
UPDATE "_prisma_migrations"
SET checksum = '0620a914ddbaf01279576274432e51c41f41502cd4c8de38621625380750e397'
WHERE migration_name = '20260116154810_add_idempotency_key_options_to_task_run';
```
This updates the stored checksum to match the modified migration file,
allowing future migrations to proceed without checksum mismatch errors.
## Test plan
- [x] Verified migration applies cleanly on fresh database
- [ ] Verified checksum update works on database with previous migration
applied
🤖 Generated with [Claude Code](https://claude.com/claude-code)
What changed
- Upgraded recharts to 2.15.2
- Added multiple chart types and components: big number, line, stacked,
bar (including zoomable & reference line), big dataset bar, and usage
graph
- Implemented custom legend with animated values, tooltip showing x-axis
data, and hover/highlight behaviors for stacks and legend
- Added loading, no-data, and invalid chart states plus loading spinners
and improved loading animations/layout
- Storybook integration: initial charts setup, separate chart files,
alphabetized menu, chart state toggles, and story updates
- Interaction & UX improvements: zooming (drag/select), crosshair
pointer, show/select dates while zooming, prevent text selection on
drag, hide mouse wheel zoom, capped legend items, axis/legend styling
tweaks, better spacing, and min-height for charts
- Data & state handling: moved date data to route for unified zooming,
moved chartState to main Chart component, moved hard-coded/mock data out
of components, and set chart data when zooming to start/end dates
- Performance & animation: turned off/reduced chart animations, sped up
animated numbers, removed hover transitions for bars
- New UI primitives and layout: Card component, small card updates, SVG
icons, improved segmented control and popover variants, table
improvements (resizable columns, filtering, sorting, scrolling fixes)
- Various fixes and polish: tooltip style fixes, legend value updates,
hover/leave state resets, bar width fixes for small datasets,
type/import fixes, and numerous small style/typo tweaks
---------
Co-authored-by: James Ritchie <james@trigger.dev>
## Summary
- Store the original user-provided idempotency key and scope alongside
the hash
- Expose `ctx.run.idempotencyKey` as the user-provided key (not the
hash)
- Add `ctx.run.idempotencyKeyScope` to show the scope ("run", "attempt",
or "global")
<img width="539" height="450" alt="CleanShot 2026-01-19 at 11 40 46"
src="https://github.com/user-attachments/assets/b6f42991-697e-4314-a164-aef77b8fd25c"
/>
## Problem
Idempotency keys were hashed (SHA-256) before storage, making debugging
difficult since users couldn't see the value they originally set or
search for runs by idempotency key.
## Solution
Attach metadata to the `String` object returned by
`idempotencyKeys.create()` using a Symbol, extract it in the SDK before
the API call, and store it in the database alongside the hash.
```typescript
const key = await idempotencyKeys.create("my-key", { scope: "global" });
await childTask.triggerAndWait(payload, { idempotencyKey: key });
// In child task:
ctx.run.idempotencyKey // "my-key" (previously showed the hash)
ctx.run.idempotencyKeyScope // "global"
```
Test plan
- Trigger task with idempotencyKeys.create() using different scopes (run, attempt, global)
- Verify ctx.run.idempotencyKey returns user-provided key
- Verify ctx.run.idempotencyKeyScope returns correct scope
- Verify PostgreSQL stores idempotencyKeyOptions JSON
- Verify ClickHouse receives idempotency_key_user and idempotency_key_scope via replication
---------
Co-authored-by: James Ritchie <james@trigger.dev>
Closes #<issue>
## ✅ Checklist
- [ ] I have followed every step in the [contributing
guide](https://github.com/triggerdotdev/trigger.dev/blob/main/CONTRIBUTING.md)
- [ ] The PR title follows the convention.
- [ ] I ran and tested the code works
---
## Testing
_[Describe the steps you took to test this change]_
---
## Changelog
_[Short description of what has changed]_
---
## Screenshots
_[Screenshots]_
💯
---------
Co-authored-by: Matt Aitken <matt@mattaitken.com>
Summary
- Add nullable projectId field to TaskScheduleInstance.
- Create an index for TaskScheduleInstance.environmentId (added only if
it doesn’t exist, handled concurrently).
- Ensure TaskScheduleInstance.projectId is set everywhere in the
codebase.
Backfilling projectIds, once this is live
```sql
UPDATE "TaskScheduleInstance" tsi
SET "projectId" = ts."projectId"
FROM "TaskSchedule" ts
WHERE tsi."taskScheduleId" = ts."id";
```
It’s useful to know when they were modified for debugging and auditing.
For existing rows createdAt and updatedAt are set to now() during the
migration, to avoid a nullable column.
TRQL (pronounced Treacle like the delicious British dark sweet syrup) is
the TRiggerQueryLanguage. It allows users to safely write queries on
their data. The queries are safely turned into ClickHouse queries which
are tenant-safe and not SQL injectable.
https://github.com/user-attachments/assets/bbfca473-b3fc-4150-8fe6-79e8840a2d29
This started out as a translation of HogQL by PostHog from Python to
TypeScript.
Features
- Tenant safe queries.
- Many underlying ClickHouse features including functions and
aggregations.
- Virtual columns, which are exposed to users as real columns but are
actually expressions.
- Transformations of data types and where clauses.
- Simple JSON path querying.
- Limits on execution time.
- Reporting of query statistics.
## Query page
There’s a new Query page (currently behind a feature flag) where you can
write TRQL queries and execute them against your environment, project or
organization.
Features
- Executing TRQL queries
- Syntax highlighting and errors
- Autocomplete
- AI generation/editing of queries
- Help and examples
- Table with auto-inferred data types from the table schema
- Table cell renderers for our special types like Run ids, environments,
machines, tasks, queues, etc.
- Copy/export as CSV/JSON
- Line and bar graphs with grouping and stacking
- History of queries
Adds support for **debounced task runs** - when triggering a task with a
debounce key, subsequent triggers with the same key will reschedule the
existing delayed run instead of creating new runs. This continues until
no new triggers occur within the delay window.
## Usage
```typescript
await myTask.trigger({ userId: "123" }, {
debounce: {
key: "user-123-update",
delay: "5s",
mode: "leading", // default
}
});
```
- **key**: Scoped to the task identifier
- **delay**: How long to wait before executing (supports duration
strings like `"5s"`, `"1m"`)
- **mode**: Either `"leading"` or `"trailing"`. Leading debounce will
use the payload and options from the first run created with the debounce
key. Trailing will use payload and options from the last run.
### "trailing" mode overrides
When using `mode: "trailing"` with debounce, the following options are
updated from the **last** trigger:
- **`payload`** - The task input data
- **`metadata`** - Run metadata
- **`tags`** - Run tags (replaces existing tags)
- **`maxAttempts`** - Maximum retry attempts
- **`maxDuration`** - Maximum compute time
- **`machine`** - Machine preset (cpu/memory)
## Behavior
- **First run wins**: The first trigger creates the run, subsequent
triggers push its execution time later
- **Idempotency keys take precedence**: If both are specified,
idempotency is checked first
- **Max duration**: Configurable via `DEBOUNCE_MAX_DURATION_MS` env var
(default: 10 minutes)
Works with `triggerAndWait` - parent runs correctly block on the
debounced run.
New batch trigger system with larger payloads, streaming ingestion,
larger batch sizes, and a fair processing system.
This PR introduces a new `FairQueue` abstraction inspired by our own
`RunQueue` that enables multi-tenant fair queueing with concurrency
limits. The new `BatchQueue` is built on top of the `FairQueue`, and
handles processing Batch triggers in a fair manner with per-environment
concurrency limits defined per-org. Additionally, there is a global
concurrency limit to prevent the BatchQueue system from creating too
many runs too quickly, which can cause downstream issues.
For this new BatchQueue system we have a completely new batch trigger
creation and ingestion system. Previously this was a single endpoint
with a single JSON body that defined details about the batch as well as
all the items in the batch.
We're introducing a two-phase batch trigger ingestion system. In the
first phase, the BatchTaskRun record is created (and possibly rate
limited). The second phase is another endpoint that accepts an NDJSON
body with each line being a single item/run with payload and options.
At ingestion time all items are added to a queue, in order, and then
processed by the BatchQueue system.
## New batch trigger rate limits
This PR implements a new batch trigger specific rate limit, configured
on the `Organization.batchRateLimitConfig` column, and defaults using
these environment variables:
- `BATCH_RATE_LIMIT_REFILL_RATE` defaults to 10
- `BATCH_RATE_LIMIT_REFILL_INTERVAL` the duration interval, defaults to
`"10s"`
- `BATCH_RATE_LIMIT_MAX` defaults to 1200
This rate limiter is scoped to the environment ID and controls how many
runs can be submitted via batch triggers per interval. The SDK handles
the retrying side.
## Batch queue concurrency limits
The new column `Organization.batchQueueConcurrencyConfig` now defines an
org specific `processingConcurrency` value, with a backup of the env var
`BATCH_CONCURRENCY_LIMIT_DEFAULT` which defaults to 10. This controls
how many batch queue items are processed concurrently per environment.
There is also a global rate limit for the batch queue set via the
`BATCH_QUEUE_GLOBAL_RATE_LIMIT` which defaults to being disabled. If
set, the entire batch queue system won't process more than
`BATCH_QUEUE_GLOBAL_RATE_LIMIT` items per second. This allows
controlling the maximum number of runs created per second via batch
triggers.
## Batch trigger settings
- `STREAMING_BATCH_MAX_ITEMS` controls the maximum number of items in a
single batch
- `STREAMING_BATCH_ITEM_MAXIMUM_SIZE` controls the maximum size of each
item in a batch
- `BATCH_CONCURRENCY_DEFAULT_CONCURRENCY` controls the default
environment concurrency
- `BATCH_QUEUE_DRR_QUANTUM` how many credits each environment gets each
round for the DRR scheduler
- `BATCH_QUEUE_MAX_DEFICIT` the maximum deficit for the DRR scheduler
- `BATCH_QUEUE_CONSUMER_COUNT` how many queue consumers to run
- `BATCH_QUEUE_CONSUMER_INTERVAL_MS` how frequently they poll for items
in the queue
### Configuration Recommendations by Use Case
**High-throughput priority (fairness acceptable at 0.98+):**
```env
BATCH_QUEUE_DRR_QUANTUM=25
BATCH_QUEUE_MAX_DEFICIT=100
BATCH_QUEUE_CONSUMER_COUNT=10
BATCH_QUEUE_CONSUMER_INTERVAL_MS=50
BATCH_CONCURRENCY_DEFAULT_CONCURRENCY=25
```
**Strict fairness priority (throughput can be lower):**
```env
BATCH_QUEUE_DRR_QUANTUM=5
BATCH_QUEUE_MAX_DEFICIT=25
BATCH_QUEUE_CONSUMER_COUNT=3
BATCH_QUEUE_CONSUMER_INTERVAL_MS=100
BATCH_CONCURRENCY_DEFAULT_CONCURRENCY=5
```
This PR applies a small change to the deployments table to keep track
of:
- where the deployment was triggered from
- build server metadata, if the build server was involved
This PR adds support for CLI deployments using the native build server.
**Background**
The deployment command currently does the following:
- bundles the code
- submits the build context to our external build provider and waits for
the build
- triggers deployment state transitions using the platform API
Upstream build provider outages cause issue with deployments,
potentially blocking deployments entirely. We recently introduced the
`--force-local-build` flag as a fallback to enable deployment without a
dependency on the upstream build provider, though it requires users to
have docker in their systems. This PR continues that work by providing a
remote build path which uses our own build server and does not rely on
the external provider.
**Changes in this PR**
Introduced the new `--native-build-server` flag, which does the
following:
- scans all files relevant for the Trigger deployment and evaluates
ignore rules
- packages it up in an archive and uploads it as a deployment artifact
- queues the deployment and triggers the build
- streams logs from the build server
This no longer relies on external build services. Also deployment state
transitions happen on the server-side, giving us more flexibility to
evolve the flow and schemas of related deployment API endpoints. In
general it gives us better control of the whole build and deployment
process. This path will eventually become the default.
The `--detach` flag is also new, allowing to trigger deployments without
waiting for the result.
The deployment artifacts are uploaded via pre-signed URLs to avoid
unnecessary load on the platform. The new `/artifacts` endpoint
generates the pre-signed URLs; size limits are enforced on s3. This
endpoint is deliberately generic, we could extend it in the future to
upload other artifacts client-side in a similar way, e.g., large payload
packets.
* Don't use the organization max concurrency anymore
* Early draft of the concurrency page
* WIP adding a new stepper input component
* Move stepper to be alphabetical
* When max value is reached, disabled the + button
* Show placeholder if you delete all numbers
* Make all the html input values available to the component
* Adds size variants
* Move stepper into its own component
* Work on showing the extra concurrency
* The purchase form styling and functionality (minus actually purchasing)
* New style for outline input fields
* Concurrency purchasing working
* Purchasing concurrency and quota emails working
* Improvements to the modal
* Show cost breakdown in the modal
* Fix for allocated concurrency including DEV
* Improved types
* Allocating concurrency is working
* Live updates total env concurrency
* Implemented reset
* Fix for concurrency allocation editing across multiple projects
* Tabular numbers
* Added an error from allocating concurrency
* Fixes for allocating concurrency where it didn't calculate correctly
* "Increase limit" link to concurrency page
* Indent environments
* Added Preview limit when updating concurrency for an org
* Show error when changing plan fails
* Added maximumProjectCount column to Org
* Limit project count and display a rich error toast (with title and button now)
* Added title and button to toasts. Use it for new project error
* @trigger.dev/platform 1.0.20
* Allow submitting zero concurrency so you can downgrade back to nothing
* Use the server as the truth for omitted environments
* Updated the pricing panels
---------
Co-authored-by: James Ritchie <james@trigger.dev>
* feat(queues): add ability to override concurrency limit via API and dashboard
* Updates the modal layout and tweaks copy
* Improves the dropdown menu item
* Popover supports both Button and LinkButton
* Right align the columns and fix the dropdown menu item styles
* Organize imports,
* Fix spinner icon in dropdown menu
* Remove unused props
* Adds a tooltip to the Concurrency override badge
* Fixes console error with popover menu
* typo
* Fixes incorrect className
* Minimal buttons to view runs
---------
Co-authored-by: Eric Allam <eallam@icloud.com>
* Add canceledAt to the deployment db schema
* Expose an api endpoint to cancel deployments
* Show the canceled status description in the dashboard
* Enable canceling deployments from the dashboard
* Show cancelation reason in the deployment details
* Make verifyProjectMembership a function for consistency
* Apply some good 🐰 suggestions
* Add installing status to the deployment db schema
* Replace the deployments /start endpoint with /progress
* Show the installing status in the dashboard
* Add installing status to the api schema and cli
* Add changeset
* Enable setting the initial status on deployment creation
* Expose endpoint to start deployments
* Extend build timeout on deployment start
* Use separate timeout value for queued deployments
* Add startedAt to the deployment schema
* Show the new startedAt instead of createdAt in the dashboard
* Show github user tag also in the deployment details page
* Show `pending` deployment status as `queued` in the dashboard
* Apply some good 🐰 suggestions
* Add missing return
This PR enables setting project build settings in the settings page:
root directory, install command and trigger config file path.
For most cases there should be no need to set these explicitly.
* Fix settigns page delete project width issue
* Apply a couple of touch-ups to the project settings page
* Add UI flow to connect gh repos
* Enabling adding another gh account in the ui
* Enable connecting a repo to a project
* Enable updating git settings
* Enable disconnecting gh repos from a project
* Remove prisma migration drifts
* Hide git settings when github app is disabled
* Fix migration order
* Avoid using `location` to avoid SSR issues
* Make branch tracking optional
* Disable save buttons when there are no field changes
* Disable delete project button unless the input matches the project slug
* Show connected repo connectedAt date
* Check that tracking branch exists when updating git settings
* Show tracking branch hint in the deployments page
* Fix positioning issue of the pagination pane in the deployments page
* Use mono font for branch names
* Add link to git settings
* Show tracking branch hint for the preview env too
* Add a confirmation prompt on repo disconnect
* Add link to configure repo access in gh
* Add rel prop to github links
* Automatically open repo connection modal after app installation
* Apply some fixes suggested by mr rabbit
* Fix flash cookie issue
* Extract project settings actions into a service
* Extract project settings loader into a presenter service
* Introduce neverthrow for error handling
* Try out neverthrow for error handling in the project setting flows
* Move env gh branch resolution to the presenter service
* Add schemas for gh app installations
* Implement gh app installation flow
* Make the gh app configs optional
* Add additional org check on gh app installation callback
* Save account handle and repo default branch on install
* Do repo hard deletes in favor of simplicity
* Disable github app by default
* Fix gh env schema union issue
* Use octokit's iterator for paginating repos
* Parse gh app install callback with a discriminated union
* Remove duplicate env vars
* Use bigint for github integer IDs
* Sanitize redirect paths in the gh installation and auth flow
* Regenerate migration after rebase on main to fix ordering
* Handle gh install updates separately from new installs
* Initial work on upgrading to 6.14.0
Set the output to node_modules still to make it easier
* Use ./generated Prisma folder, update types to fix issues
* Docker compose restart Clickhouse
* Prisma instrumentation update
* Docker
* Removed database dockerignore file, add generated prisma client to the top-level one
* Delete v3-catalog package.json
* Resolved pnpm lock file
* Log errors for very slow queries
* Create schema and migration for organization access tokens
* Add helpers for creating and authenticating OATs
* Adapt the auth service to also accept OATs
* Accept OATs in the whoami v2 endpoint
* Enable deployments with the CLI using OATs
* Avoid reading env variables directly in the token utils
* Remove duplicate cli token utils
* Validate ENCRYPTION_KEY length when parsing env vars
* Make token utils a server-only module
* Disallow revoking already revoked OATs
* Simplify generics in authenticateRequest
* Use 32 bytes mock encryption key in the test setup
* Update dummy encryption key values in tests and templates
* Add a column in the OATs table to differentiate between user and system generated
* Simplify args for v3ProjectPath
Co-authored-by: Matt Aitken <matt@mattaitken.com>
* Add index on org id and createdAt
* Avoid storing the encrypted oat token and its obfuscated version in the DB at all
It is a safer approach. Also we do not need to ever read the decrypted token value after creation.
* Fix prisma update condition
* Add token type to the OAT table index
* Accept OATs in the mcp auth flow
* Simplify env auth flow around the /projects endpoints
---------
Co-authored-by: Matt Aitken <matt@mattaitken.com>
* add tier scheduling support to supervisor
* add billing info to dequeued message w/o cache
* add cache with best effort invalidation
* fix invalidate circular dep
* add changeset
* use new plan type on runs as fallback during dequeue
* tidy up
* be more explicit with plan type fallback
* remove additional billing check from hot path
* switch to placement tags
* update changeset
* update platform package
* start using new entitlement response
* ensure skipChecks optimization validates at batch level
* add optional items to add to queue manager limits
* make the bool env helper only accept boolean defaults
* remove redundant private field
* update placement tag helper to prevent unsupported tags
* Map new allowedMasterQueues → allowedWorkerQueues
* ClickHouse worker_queue on task runs
* Added the Region to the run inspector
* Pass a region in when triggering
* Added a changeset
* Added triggering regions docs
* Added region to the ctx
* Fix for backfiller masterQueue/workerQueue
* Initial Regions page
* Fix for bad attribute name
* Switching regions is working. Some style improvements
* Use a dialog for confirmation, not great yet
* Added allowedMasterQueues
* Improves flag icons
* Improves the region switch modal with more info
* Adds “suggest a region” table row
* New icons for the buttons
* Improved the tooltip information
* New “small” badge style
* Make the default badge live in its column
* Better DO icon size
* Remove unused export of regions options
* Show upgrade message for free users to get static IPs
* Admins can view all regions and switch at will
---------
Co-authored-by: James Ritchie <james@trigger.dev>
* Add payload schema handling for task indexing
This change introduces support for handling payload schemas during task indexing. By incorporating the `payloadSchema` attribute into various components, we ensure that each task's payload structure is clearly defined and can be validated before processing.
- Updated the TaskManifest and task metadata structures to include an optional `payloadSchema` attribute. This addition allows for more robust validation and handling of task payloads.
- Enhanced several core modules to export and utilize the new `getSchemaToJsonSchema` function, providing easier conversion of schema types to JSON schemas.
- Modified the database schema to store the `payloadSchema` attribute, ensuring that the payload schema information is persisted.
- The change helps in maintaining consistency in data handling and improves the integrity of task data across the application.
* Refactor: Remove getSchemaToJsonSchema in favor of schemaToJsonSchema
The `getSchemaToJsonSchema` function was removed and replaced with `schemaToJsonSchema` across the codebase. This update introduces a new `@trigger.dev/schema-to-json` package to handle conversions of schema validation libraries to JSON Schema format, centralizing the functionality and improving maintainability.
- Removed `getSchemaToJsonSchema` exports and references.
- Added new schema conversion utility `@trigger.dev/schema-to-json`.
- Updated `trigger-sdk` package to utilize `schemaToJsonSchema` for payloads.
- Extensive testing coverage included to ensure conversion accuracy across various schema libraries including Zod, Yup, ArkType, Effect, and TypeBox.
- The update ensures consistent and reliable schema conversions, facilitating future enhancements and supporting additional schema libraries.
* Add support for Zod 4 in schema-to-json
This change enhances the schema-to-json package by adding support for Zod version 4, which introduces the native `toJsonSchema` method. This method facilitates a direct conversion of Zod schemas to JSON Schema format, improving performance and reducing reliance on the `zod-to-json-schema` library.
- Updated README to reflect Zod 4 support with native method and retained support for Zod 3 via existing library.
- Modified package.json to allow installation of both Zod 3 and 4 versions.
- Implemented handling for Zod 4 schemas in `src/index.ts` using their native method.
- Added a test case to verify the proper conversion of Zod 4 schemas to JSON Schema.
- Included a script for updating the package version based on the root package.json.
- Introduced a specific TypeScript config for source files.
* Revise schema-to-json for bundle safety and tests
The package @trigger.dev/schema-to-json has been revised to ensure bundle safety by removing direct dependencies on schema libraries such as Zod, Yup, and Effect. This change minimizes bundle size and enhances tree-shaking by allowing external conversion libraries to be utilized only at runtime if necessary. As a result, the README was updated to reflect this usage pattern.
- Introduced `initializeSchemaConverters` function to load necessary conversion libraries at runtime, keeping the base package slim.
- Adjusted test suite to initialize converters before tests, ensuring accurate testing of schema conversion capabilities.
- Updated `schemaToJsonSchema` function to dynamically check for availability of conversion libraries, improving flexibility without increasing the package size.
- Added configuration files for Vitest to support the new testing framework, reflecting the transition from previous test setups.
These enhancements ensure that only the schema libraries actively used in an application are bundled, optimizing performance and resource usage.
* Refine JSON Schema typing across packages
The changes introduce stricter typing for JSON Schema-related definitions, specifically replacing vague types with more precise ones, such as using `z.record(z.unknown())` instead of `z.any()` and `Record<string, unknown>` in place of `any`. This is part of an effort to better align with common practices and improve type safety in the packages.
- Updated the `payloadSchema` in several files to use `z.record(z.unknown())`, enhancing the type strictness and consistency with JSON Schema Draft 7 recommendations.
- Added `@types/json-schema` as a dependency, utilizing its definitions for improved type clarity and adherence to best practices in TypeScript.
- Modified various comments to explicitly mention JSON Schema Draft 7, ensuring developers are aware of the JSON Schema version being implemented.
- These adjustments are informed by research into how popular libraries and tools handle JSON Schema typing, aiming to integrate best practices for improved maintainability and interoperability.
* Add JSON Schema examples using various libraries
The change introduces extensive examples of using JSON Schemas in the 'references/hello-world' project within the 'trigger.dev' repository. These examples utilize libraries like Zod, Yup, and TypeBox for JSON Schema conversion and validation. The new examples demonstrate different use cases, including automatic conversion with schemaTask, manual schema provision, and schema conversion at build time. We also updated the dependencies in 'package.json' to include the necessary libraries for schema conversion and validation.
- Included examples of processing tasks with JSON Schema using libraries such as Zod, Yup, TypeBox, and ArkType.
- Showcased schema conversion techniques and type-safe JSON Schema creation.
- Updated 'package.json' to ensure all necessary dependencies for schema operations are available.
- Created illustrative scripts that cover task management from user processing to complex schema implementations.
* Refactor SDK to encapsulate schema-to-json package
The previous implementation required users to directly import and initialize functions from the `@trigger.dev/schema-to-json` package, which was not the intended user experience. This change refactors the SDK so that all necessary functions and types from `@trigger.dev/schema-to-json` are encapsulated within the `@trigger.dev/*` packages.
- The examples in `usage.ts` have been updated to clearly mark `@trigger.dev/schema-to-json` as an internal-only package.
- Re-export JSON Schema types and conversions in the SDK to improve developer experience (DX).
- Removed unnecessary direct dependencies on `@trigger.dev/schema-to-json` from user-facing code, ensuring initialization and conversion logic is handled internally.
- Replaced instances where users were required to manually perform schema conversions with automatic handling within the SDK for simplification and better maintainability.
* Add JSONSchema type for payloadSchema in tasks
The change was necessary to improve type safety by using a proper JSONSchema type definition instead of a generic Record<string, unknown>. This enhances the developer experience and ensures that task payloads conform to the JSON Schema Draft 7 specification. The JSONSchema type is now re-exported from the SDK for user convenience, hiding internal complexity and maintaining a seamless developer experience.
- Added JSONSchema type based on Draft 7 specification
- Updated task metadata and options to use JSONSchema type
- Hid internal schema conversion logic from users by re-exporting types from SDK
- Improved bundle safety and dependency management
* Add JSON schema testing and revert package dependencies
This commit introduces a comprehensive set of JSON schema testing within the monorepo, specifically adding a new test project in `references/json-schema-test`. This includes a variety of schema definitions and tasks utilizing multiple validation libraries to ensure robust type-checking and runtime validation.
Additionally, the dependency versions for `@effect/schema` have been adjusted from `^0.76.5` to `^0.75.5` to maintain compatibility across the project components. This ensures consistent behavior and compatibility with existing code bases without introducing breaking changes or unexpected behavior due to version discrepancies.
Key updates include:
- Added new test project with extensive schema validation tests.
- Ensured type safety across various task implementations.
- Reverted dependency versions to ensure compatibility.
- Created multiple schema tasks using libraries like Zod, Yup, and others for thorough testing.
* Refactor JSON Schema test files for clarity
Whitespace and formatting changes were applied across the `json-schema-test` reference project to enhance code readability and cohesion. This included removing unnecessary trailing spaces and ensuring consistent indentation patterns, which improves maintainability and readability by following the project's code style guidelines.
- Renamed JSONSchema type annotations to adhere to TypeScript conventions, ensuring that all schema definitions properly satisfy the JSONSchema interface.
- Restructured some object declarations for improved clarity, especially within complex schema definitions.
- These adjustments are crucial for better future maintainability, reducing potential developer errors when interacting with these test schemas.
* Fixed some stuff
* WIP
* we now convert schema to jsonSchema on the CLI side via the indexing
* Remove the json-schema-test reference project
* Improve schema-to-json peer deps and fix effect schema
* Explain the casting and match the version numbers
* Fixed a bunch more schema stuff
* Don't clean files that might be written to
* Don't use a custom version of vitest in the new package
* fix attw in schema-to-json
* First draft billing alerts page
* Budget alert form working
* Don't let free plan users change the billing alert amount
* Fix missing key in map in the form
* Disable queues/org from admin API endpoint
* Don't allow resuming if runsEnabled is false
* Refer to "Billing alerts" not "Plans"
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* Form missing dependencies fix
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* Deal with thrown errors, fix for duplicating email fields
* Added a RuntimeEnvironment organizationId index
---------
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* WIP
* Make release concurrency system extremely simple, everything just releases all the time
* update the deadlock detection to use the new lockedQueueReleaseConcurrencyOnWaitpoint column
* WIP new release concurrency system
* Remove releaseConcurrency and releaseConcurrencyOnWaitpoint
Also removed deadlock detection, and added environment burst concurrency
* Added new DEQUEUED status
Cleaned up the API run statuses, including now detecting new clients and not breaking older clients by adding an API version header to all requests
* Introduce the new "current dequeued concurrency set"
* Remove QUEUED_EXECUTING because we no longer "eagerly" release before checkpointing
* Remove waitpoint test for QUEUED_EXECUTING
* Add isWaiting
* Add changeset
* Use createdAt for ordering realtime runs instead of number
* Clarify the envCurrentDequeuedKey usage
* mock the db.server file to fix the tests
* Updated changset "EXECUTED" -> "EXECUTING"
---------
Co-authored-by: Matt Aitken <matt@mattaitken.com>
* Add ID of the replayedFrom run to the TaskRun schema
* Propagate the replayedFrom run ID in the replay flow
* Link the replayed run in the run details pane
Eric Allam
