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>
- Adds an end-to-end OTEL metrics pipeline: task workers collect and
export metrics via OpenTelemetry, the webapp ingests them into
ClickHouse, and they're queryable through the existing dashboard query
engine
- Workers emit process CPU/memory metrics (via
`@opentelemetry/host-metrics`) and Node.js runtime metrics (event loop
utilization, event loop delay, heap usage)
- Users can create custom metrics in their tasks via
`otel.metrics.getMeter()` from `@trigger.dev/sdk`
- Metrics are automatically tagged with run context (run ID, task slug,
machine, worker version) so they can be sliced per-run, per-task, or
per-machine
- The TSQL query engine gains metrics table support with typed attribute
columns, `prettyFormat()` for human-readable values, and per-schema time
bucket thresholds
- Includes reference tasks
(`references/hello-world/src/trigger/metrics.ts`) demonstrating
CPU-intensive, memory-ramp, bursty workload, and custom metrics patterns
## What changed
### Metrics collection (packages/core, packages/cli-v3)
- **Metrics export pipeline** — `TracingSDK` now sets up a
`MeterProvider` with a `PeriodicExportingMetricReader` that chains
through `TaskContextMetricExporter` (adds run context attributes) and
`BufferingMetricExporter` (batches exports to reduce overhead)
- **Host metrics** — Enabled `@opentelemetry/host-metrics` for process
CPU, memory, and system-level metrics
- **Node.js runtime metrics** — New `nodejsRuntimeMetrics.ts` module
using `performance.eventLoopUtilization()`, `monitorEventLoopDelay()`,
and `process.memoryUsage()` to emit 6 observable gauges
- File system and diskio metrics
- **Custom metrics** — Exposed `otel.metrics` from `@trigger.dev/sdk` so
users can create counters, histograms, and gauges in their tasks
- **Machine ID** — Stable per-worker machine identifier for grouping
metrics
- **Dev worker** — Drops `system.*` metrics to reduce noise, keeps
sending metrics between runs in warm workers
### Metrics ingestion (apps/webapp)
- **OTEL endpoint** — `otel.v1.metrics.ts` accepts OTEL metric export
requests (JSON and protobuf), converts to ClickHouse rows
- **ClickHouse schema** — `017_create_metrics_v1.sql` with 10-second
aggregation buckets, JSON attributes column, 60-day TTLs
### Query engine (internal-packages/tsql, apps/webapp)
- **Metrics query schema** — Typed columns for metric attributes
(`task_identifier`, `run_id`, `machine_name`, `worker_version`, etc.)
extracted from the JSON attributes column
- **`prettyFormat()`** — TSQL function that annotates columns with
format hints (`bytes`, `percent`, `durationSeconds`) for frontend
rendering without changing the underlying data
- **Per-schema time buckets** — Different tables can define their own
time bucket thresholds (metrics uses tighter intervals than runs)
- **AI query integration** — The AI query service knows about the
metrics table and can generate metric queries
- **Chart improvements** — Better formatting for byte values,
percentages, and durations in charts and tables
### Reference project
- **`references/hello-world/src/trigger/metrics.ts`** — 6 example tasks:
`cpu-intensive`, `memory-ramp`, `bursty-workload`, `sustained-workload`,
`concurrent-load`, `custom-metrics`
## Test plan
- [ ] Build all packages and webapp
- [ ] Start dev worker with hello-world reference project
- [ ] Run `cpu-intensive`, `memory-ramp`, and `custom-metrics` tasks
- [ ] Verify metrics in ClickHouse: `SELECT DISTINCT metric_name FROM
metrics_v1`
- [ ] Query via dashboard AI: "show me CPU utilization over time"
- [ ] Verify `prettyFormat` renders correctly in chart tooltips and
table cells
- [ ] Confirm dev worker drops `system.*` metrics but keeps `process.*`
and `nodejs.*`
Fixes an issue introduced in #3024.
The behavior for local builds in older CLI versions relies on
`externalBuildData` to be defined to distinguish from the self-hosting
local build path, even though it doesn't actually use the token.
## Summary
- Adds an optional `timeoutInSeconds` parameter (default 60s) to the
`wait_for_run_to_complete` MCP tool
- If the run doesn't complete within the timeout, returns the current
run state instead of blocking indefinitely
- Uses `AbortSignal.timeout()` combined with the existing MCP signal
Fixes#3032
## Summary
- When a child process crashes and a retry (`RETRY_IMMEDIATELY`) is
attempted on the same `TaskRunProcess`, `execute()` hangs forever
because the IPC send is silently skipped and the attempt promise can
never resolve
- This caused runner pods to stay up indefinitely with no heartbeats or
polls
- Fix: reject the attempt promise immediately when the child is not
connected, so the controller can proceed to warm start or exit
## Test plan
- [x] Added `taskRunProcess.test.ts` — verifies `execute()` rejects
promptly instead of hanging when the child process is dead
- [x] Deploy and verify no more stuck runner pods accumulate over time
This fixes a regression introduced in #2778 - stable sort is required
for deterministic builds, but we can safely preserve order for the user
package.json during package updates
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.
This PR makes our image builds deterministic and reproducible by
ensuring that identical source code always produces the same image
layers and image digest. This means that deployments where nothing has
changed will no longer invalidate the image cache in our worker cluster
nodes, thus avoid making the cold starts for runs worse.
**Context**
New deployments currently increase the cold start times for runs, as
they generate a new image which needs to be pulled in the worker cluster
where runs are executed. It happens also when the source code for the
deployment has not changed due to non-deterministic steps in our build
system. This addresses the latter issue by making builds reproducible.
**Main changes**
- Avoided baking `TRIGGER_DEPLOYMENT_ID` and
`TRIGGER_DEPLOYMENT_VERSION` in the image, we now pass these via the
supervisor instead.
- Used `json-stable-stringify` for consistent key ordering in the files
we generate for the build, e.g., `package.json`, `build.json`,
`index.json`.
- Removed `metafile.json` from the image contents as it is not actually
used in the container. This is only relevant for the `analyze` command.
- Added `SOURCE_DATE_EPOCH=0` and `rewrite-timestamp=true` to Docker
builds to normalize file timestamps.
- Removed some `timings` and `outputHashes` from build outputs and
manifests.
The builds are now reproducible for both native build server and Depot
paths. This should also lead to better image layer cache reuse in
general.
This will speed up ice cold starts (*) for two reasons:
- better compression ratio
- faster decompression
This is a minor release because zstd compression will now be enabled by
default for all deployments.
(*) ice cold starts happen when deploy images are not cached on the
worker node yet. These cold start durations are highly dependent on
image size and as it turns out, also the type of compression used.
<!-- CURSOR_SUMMARY -->
> [!NOTE]
> Centralizes SIGTERM handling in `DevSupervisor` and removes per-run
SIGTERM listeners in `DevRunController` to avoid
MaxListenersExceededWarning under high concurrency.
>
> - **Dev runtime**:
> - **SIGTERM handling**: Add centralized handler in
`packages/cli-v3/src/dev/devSupervisor.ts` to gracefully stop all run
controllers; unregisters on `shutdown()`.
> - **Cleanup**: Remove per-controller `SIGTERM` listener and handler
from `packages/cli-v3/src/entryPoints/dev-run-controller.ts` to reduce
event listeners and warnings.
> - **Changeset**: Add patch note in
`.changeset/fuzzy-ghosts-admire.md`.
>
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
5ad2f5341829cebf6fd37a3c616a2db5e4ad936a. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
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.
* stop deleting the first dev version files on the first change, prevents system failures
* prevent dev runs getting stuck in dequeued status by deleting workers
* add changeset
* Fix for the MCP tool that gets logs for debugging runs
This was broken when we changed the data on the backend that returns
log/span data from runs. We changed the data structured and the internal
API that the MCP client uses was failing to parse with the Zod schema
* add changeset
* Revert "add changeset"
This reverts commit 86eca836d5907fa0d0f8ac595d4d5ebade140514.
---------
Co-authored-by: nicktrn <55853254+nicktrn@users.noreply.github.com>
* Add an API endpoint to query remote build provider status
* Show local build hint for failed deployments when Depot is down
* Show the local build flag in the help output
* Add changeset
* Fix import
* Fix docs link
* chore(runner): move max duration logic into parent process
* chore(rsc): remove type-marker package.json
* add changeset
* chore(core): remove irrelevant test after our changes
* chore(core): clarify we don't care about the timeout promise
* Enable skipping image push during deployment finalization step
* Add endpoint to generate registry credentials for a deployment
* Add a --force-local-build flag to the deployment command to skip remote build
* Do not show the new flag in the help output
* Add changeset
* Remove registry login logs from onLog, not useful
* Rename var
* Update platform package to the latest version
* 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
* Add external build data and image platform to the get deployment endpoint
* If provided, attach to an existing deployment in the deploy command
* Check status for existing deployments
* Add changeset
* feat(engine): Improve execution stalls troubleshooting, align dev and prod behavior, adding heartbeats.yield utility
* A few improvements via the 🐇 review
* Allow treating EXECUTION stalls as OOM errors, improve the error message, add more information to the docs, improve resource monitor and add it to the docs
* Add changeset
* Add a CLI command to list and view env vars
* Add changeset
* Restrict pemissions on env files created with `env pull`
* Escape env vars when exporting to file
* Switch changeset to patch
* feat(mcp): add wait_for_run_to_complete tool so agents don't spam the get_run_details call after triggering
This also fixes the search docs MCP tool
* Install mcp using the latest tag, not the specific version
* 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>
* fix: span events are optional, as logs don't have them
* remove CI: true env var to prevent massive tool responses
* fix github resolver relative path
* prevent the dev command from asking for user input when not interactive
* Remove lodash.get because it's deprecated
* span output can be object other than an object, like a string
* prevent large traces from causing get_run_details failures
* Decreased max log lines, made it a tool input property
* Some install mcp tweaks
This PR adapts the deployment command to also evaluate build server env
variables when creating the git meta. The build server will initially
only support deployments triggered by the github app, but we might add
other git providers in the future.
Sticking to the GH actions naming convention for the env variables set
by the build server in favor of consistency.
* Only start an attempt if not finished. Send message to worker if pending executing
* Fix the exit process reason tet
* Fixed cancelling test since bug fix
The old behaviour was wrong for pending executing in the test
Eric Allam