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Update trigger#4
tylerc-govsignals wants to merge 1369 commits into
GovSignals:ConProgramming/two-phase-deployfrom
triggerdotdev:main

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✅ Checklist

  • I have followed every step in the contributing guide
  • 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]

💯

d-csand others added 30 commits July 3, 2026 11:05
…n-ops split base) (#4112)
## What
Foundation for the run-ops database split: an isomorphic **id-shape
residency classifier** and the **ksuid mint primitives**, added to
`@trigger.dev/core` under `v3/isomorphic`.
- **`runOpsResidency.ts`** — classifies a run id by its shape: 25-char
cuid → `LEGACY`, 27-char ksuid → `NEW`. Pure and environment-free (safe
on both client and server).
- **`friendlyId.ts`** — ksuid mint primitives and id helpers.
- Both exported via `v3/isomorphic/index.ts`.
## Why
This is the **base of a stacked series** implementing the run-ops DB
split (routing run-execution data to a dedicated database by id-shape).
Later PRs in the series consume this classifier and these primitives to
route reads and writes across the two databases.
On its own this PR is **purely additive** — new isomorphic helpers with
unit tests, no runtime wiring, and no behaviour change to existing code
paths.
## Tests
Unit tests for the classifier (`runOpsResidency.test.ts`) and the id /
mint primitives (`friendlyId.test.ts`).
## Notes
- Draft, stacked on `main`; subsequent PRs in the series build on top of
this one.
- A changeset for `@trigger.dev/core` will be added before this is
marked ready for review.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…migration runner (#4113)
## What
The **dedicated run-ops database** foundation for the split: a
standalone Prisma package plus the infra to run and migrate it.
- **`internal-packages/run-ops-database`** — a new Prisma package
(`@internal/run-ops-database`) whose schema mirrors the run-execution
tables that will live on the dedicated DB, with its own generated
client, migrations, and migration runner.
- **`prisma/schema.parity.test.ts`** — a parity test that guards the
run-ops schema against drift from the control-plane schema for the
mirrored tables.
- **Docker** — a Postgres 17 service (`docker/Dockerfile.postgres17`,
`docker/docker-compose.yml`) so the dedicated DB is available locally
under the run-ops compose profile.
- **Testcontainers** — hetero fixtures (PG14 legacy + PG17 dedicated) so
later PRs can exercise cross-database behaviour with real containers
rather than mocks.
## Why
This is the **second PR in the run-ops split stack**, stacked on the
core primitives. It stands up the dedicated database and its tooling.
There is **no runtime wiring** into the webapp here — the app does not
read or write this DB yet; that arrives in later PRs. On its own this PR
only adds a package, a docker service, and test fixtures.
## Tests
Schema-parity test for the run-ops schema; hetero testcontainer fixture
smoke test.
## Notes
- Draft, **stacked on #4112** (`runops/pr01-core-residency`). Review
that one first; this diff is against it.
- Server-change / changeset note to be added at stack-assembly time.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
## Summary
`pnpm run db:seed` failed with `SyntaxError: The requested module
'./app/models/organization.server' does not provide an export named
'createOrganization'`, even though that export exists. Renaming the seed
entry
point from `seed.mts` to `seed.ts` runs it as CommonJS and fixes the
failure.
No seed logic changes.
## Root cause
`seed.mts` is an ES module, but the server modules it imports (`.ts`
files, and
no package declares `"type": "module"`) resolve as CommonJS. tsx
compiles those
to CommonJS using esbuild's getter-based export shape
(`Object.defineProperty(exports, name, { get })`), which Node's
`cjs-module-lexer` does not detect when it links the ESM importer. The
named
exports look absent, so linking throws before any code runs.
The seed only ever needed the `.mts` extension: it has no top-level
`await` and
no `import.meta`. Running it as `.ts` keeps the whole import chain
CommonJS to
CommonJS and never crosses the lexer boundary. Verified the seed runs to
completion after the change.
Possibly caused by Node 22 upgrade?
…res-version compat tests (#4114)
## What
- Adds `composeTaskRunVersion` to `@internal/clickhouse` (exported from
the package index). It packs a small `originGeneration` epoch into the
top 8 bits of the ReplacingMergeTree version and keeps the producer's
own LSN in the low 56 bits, so `task_runs_v2` rows replicated from more
than one Postgres producer become globally comparable while preserving
in-producer ordering. Single-producer setups never call it and keep
using the raw LSN version.
- Adds unit coverage for the helper in `taskRuns.test.ts` (bit layout,
ordering, epoch precedence, range validation).
- Adds two run-engine tests that exercise the cross-Postgres-version
testcontainer fixture:
- `heteroPostgresFixture.test.ts` — a smoke test asserting byte-identity
and identical `ORDER BY` (under a pinned ICU collation) across two
different Postgres major versions.
- `crossVersionCompat.test.ts` — mirrors the run-engine's real raw-SQL
surfaces and asserts byte-identical, ordering-identical results across
the two versions. Ships with an env-gated block (skipped by default)
that can be pointed at a real dedicated database in CI.
## Why
Third PR in the run-ops split stack. It is purely additive: it
introduces one new exported helper plus tests and changes no runtime
call sites, so on its own it has no runtime behavior change. It lays
down the version-composition primitive and the cross-version
compatibility proof that later PRs in the stack rely on.
## Tests
- New unit tests for `composeTaskRunVersion` in
`internal-packages/clickhouse/src/taskRuns.test.ts` (run against a real
ClickHouse testcontainer).
- New cross-version tests in
`internal-packages/run-engine/src/engine/tests/` running against real
Postgres containers of two different major versions (no mocks). The
env-gated dedicated-database block is skipped unless its URL is set.
## Notes
Draft, **stacked on #4113** (`runops/pr02-db-foundation`). Review that
first; this diff is against it.
Server-change / changeset note to be added at stack-assembly time.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
## Summary
Stable v4 Docker image builds now also publish `v4` and `latest` tags,
giving Docker-based self-hosters a maintained floating tag to use after
a stable release. The Kubernetes guide now uses the current Helm chart
line and current pinned examples, so new installs and upgrades resolve
to the 4.5 chart line instead of the 4.0 line.
## Design
The publish workflows add the floating tags only for stable `v4.x.x`
image tags. Prerelease and `main` builds keep their existing tags.
<!-- ccr-slack-attribution -->
_Requested by **Eric Allam** · [Slack
thread](https://triggerdotdev.slack.com/archives/C061L2MHW93/p1783083021892389?thread_ts=1783083021.892389&cid=C061L2MHW93)_
## ✅ Checklist
- [ ] 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.
- [ ] I ran and tested the code works
---
## Testing
N/A — this change only removes two changeset markdown files; there are
no code changes to test.
---
## Changelog
### What changed
Removes two `@trigger.dev/core` changesets that were added for changes
that are not user-facing package changes:
- `.changeset/runops-core-residency.md` — internal run-ops residency
classifier + ksuid mint/decode primitives
- `.changeset/telnet-dev-logs.md` — dev-only
`@trigger.dev/core/v3/telnetLogServer` module
### Why
Per the convention that changesets should only be added when there are
actual user-facing package changes, these two do not qualify. Removing
them keeps the release (currently the automated v4.5.1 PR #4126) from
bumping `@trigger.dev/core` for internal/dev-only additions.
---
_Generated by [Claude
Code](https://claude.ai/code/session_019xCdLwoozZm4Gr5ZHLYiws)_
Co-authored-by: Claude <noreply@anthropic.com>
## Summary
Getting the CLI talking to a local instance meant the browser magic-link
login, which is no good when you're driving things headlessly (an agent,
a container, or just no browser to hand). The seed already prints dev
secret keys for the batch-limit orgs, so it now also mints a personal
access token for the seeded `local@trigger.dev` user and prints a
ready-to-run `export TRIGGER_ACCESS_TOKEN=...` next to them.
Re-seeding stays idempotent: it decrypts and reprints the existing
`local-dev-cli` token rather than piling up a new one on every run.
<!-- GitButler Footer Boundary Top -->
---
This is **part 2 of 2 in a stack** made with GitButler:
- <kbd>&nbsp;2&nbsp;</kbd> #4135 👈 - <kbd>&nbsp;1&nbsp;</kbd> #4137
<!-- GitButler Footer Boundary Bottom -->
---------
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
…4145)
`db:migrate` ran `prisma migrate deploy` for
`@internal/run-ops-database`, which requires the dedicated run-ops DB
(:5434) that isn't up in a default local — breaking local `db:migrate`
for everyone; excluding it with `--filter=!@internal/run-ops-database`
restores it.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Adds a lefthook `pre-push` job that runs the same checks as CI
code-quality (`oxfmt --check .` + `oxlint .`), so formatting/lint
failures are caught locally before they reach a PR. Uses the existing
lefthook setup - no new tooling.
Caveat noted in the config: GitButler uses its own git implementation
and only runs hooks when "Run hooks" is enabled in its per-project
settings; with that off, this protects plain `git push`. Enable that
setting to have it fire on `but push` too.
## What
Introduces the run-store routing seam and the run-engine read seams that
let run lifecycle operations be dispatched to either the control-plane
database or a separately-generated run-ops database, depending on where
a run/batch resides.
- **run-store** (`internal-packages/run-store`): adds `runOpsStore.ts`
and substantially expands `PostgresRunStore.ts` so the store can resolve
residency and route reads/writes to the correct backing client.
`types.ts` grows the routing/residency types; `NoopRunStore.ts` is
removed.
- **run-engine** (`internal-packages/run-engine`): adds
`engine/controlPlaneResolver.ts` and routes the per-system read paths
(dequeue, enqueue, waitpoint, checkpoint, run-attempt, ttl, delayed-run,
execution-snapshot, pending-version, debounce, batch) through the
resolver/store instead of talking to a single Prisma client directly.
`engine/errors.ts`, `engine/types.ts`, and `engine/index.ts` are
extended to support injecting the store/resolver.
Three fixes are included on top of the seam work:
- `c6cadd85f` — routes read-your-writes to the owning store's
**writer**, not its lagging replica, so an operation immediately reading
back what it just wrote sees a consistent result.
- `05c912e05` — normalizes run-ops-generation Prisma errors to the
control-plane error class at the store **write boundary**, so
`instanceof` checks and the `P2002` → 422 handling continue to work
across the separately-generated run-ops Prisma client.
- `88d12907f` — resolves NEW-resident batches in
`ApiBatchResultsPresenter` by routing the batch read through the store,
so a dedicated-DB batch resolves instead of returning 404.
The change is heavily test-first: the bulk of the diff is new
unit/integration coverage for the store routing, residency, and each
run-engine system's control-plane resolver path.
## Why
PR4 of the run-ops split stack (PR1–PR3 land the ClickHouse
test-container and earlier plumbing). This PR is the read-path
foundation: it adds the seam and read-routing but leaves the write path
to route through the same seam in a later PR. Behavior-changing where
the three fixes above touch existing read-your-writes /
error-normalization / batch-resolution paths; otherwise additive (new
store module, new resolver, injectable dependencies with existing
single-client behavior preserved when no dedicated store is configured).
## Tests
Extensive new vitest coverage under `run-store/src/*.test.ts` (routing,
residency, dual-schema select, cross-generation error normalization,
read-after-write, idempotency dedup, mixed residency, waitpoint
co-location) and `run-engine/src/engine/**/*.test.ts` (per-system
`controlPlaneResolver` tests, injectability, block-edge residency,
waitpoint read residency, trigger-create routing, lifecycle router).
Testcontainers-backed; no mocks.
## Notes
Draft, **stacked on #4114** (`runops/pr03-clickhouse-tc`). Review that
first; this diff is against it.
Server-change / changeset note to be added at stack-assembly time.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…ing (#4117)
## What
Wires the run-ops split into the webapp: database topology, environment
flags, split-mode gating, and the control-plane resolver/cache layer
that the run-store and run-engine seams from the previous PR plug into.
- **DB topology & env** (`apps/webapp/app/db.server.ts`,
`env.server.ts`, `entry.server.tsx`): adds the run-ops database
clients/topology and the environment variables that configure and gate
the split.
- **runOpsMigration module** (new
`apps/webapp/app/v3/runOpsMigration/`): the webapp-side machinery —
`splitMode.server.ts`, `controlPlaneResolver.server.ts` +
`controlPlaneCache.server.ts`, `readThrough.server.ts`,
`crossSeamGuard.server.ts`, `distinctDbSentinel.server.ts`, id-minting
helpers (`mintBatchFriendlyId`, `runOpsMintKind`,
`resolveInheritedMintKind`), `runOpsCascadeCleanup.server.ts`, the split
read gate, and route/unblock catalogs.
- **Store/engine wiring** (`app/v3/runStore.server.ts`,
`runEngine.server.ts`, `runEngineHandlers.server.ts` + new
`runEngineHandlersShared.server.ts`): points the webapp's store/engine
construction at the resolver, and factors shared handler logic out so
both seams use one path.
- **Read-path touch-ups**: `runtimeEnvironment.server.ts`,
`eventRepository/index.server.ts`, `taskRunHeartbeatFailed.server.ts`,
`engineVersion.server.ts` route their run/environment lookups
read-through the resolver.
- `413a94511` — interlocks split mode against the native realtime
backend so the two aren't enabled in an incompatible combination (see
`.server-changes/run-ops-split-realtime-interlock.md`).
- `dc74c57fd` — drops the earlier "known-migrated" read layer; residency
is determined by id-shape only.
## Why
PR5 of the run-ops split stack. This is the webapp foundation layer: it
stands up the DB topology, flags, and resolver/cache the rest of the
stack depends on, and repoints webapp read paths through the resolver.
Additive when the split is not enabled (existing single-DB behavior
preserved behind flags); behavior-changing on the read-through paths and
the realtime interlock.
## Tests
New vitest coverage across `apps/webapp/test/` and colocated
`*.server.test.ts` files: db topology, split mode, split read gate,
cross-seam guard, mint cutover / flip latency, control-plane cache,
control-plane resolver, distinct-db sentinel, read-through loaders
(route loaders, run-detail loaders, `findEnvironmentFromRun`), and the
run-engine handlers. Testcontainers-backed; no mocks. `pnpm-lock.yaml`
synced for the two new webapp deps.
## Notes
Draft, **stacked on #4116** (`runops/pr04-store-engine`). Review that
first; this diff is against it.
Server-change / changeset note to be added at stack-assembly time.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
… routing, run lifecycle (#4118)
## What
Routes the webapp write path through the run-ops split seam:
trigger/batch minting, idempotency-key resolution, and the run-lifecycle
services now determine residency and dispatch writes to the correct
store.
- **Trigger & batch** (`runEngine/services/triggerTask.server.ts`,
`batchTrigger.server.ts`, `createBatch.server.ts`,
`streamBatchItems.server.ts`, `v3/services/batchTriggerV3.server.ts`):
mint ids with the run-ops-aware minting and route creation/streaming
through the store; batch children inherit the parent's residency.
- **Idempotency** (`runEngine/concerns/idempotencyKeys.server.ts` + new
`idempotencyResidency.server.ts`): idempotency-key lookup/dedup is
residency-aware so a keyed retrigger resolves against the store that
owns the original run.
- **Run lifecycle services** (`createCheckpoint`,
`createTaskRunAttempt`, `enqueueDelayedRun`, `expireEnqueuedRun`,
`finalizeTaskRun`, `resumeBatchRun`, `cancelDevSessionRuns`,
`executeTasksWaitingForDeploy`, `triggerFailedTask`): resolve their
target run through the store rather than a fixed client.
- **Reads that fan out from writes** (`runsRepository` +
`clickhouseRunsRepository`, `BulkActionV2` + batch read-through,
realtime `sessions`/`runReader`, alerts
`deliverAlert`/`performTaskRunAlerts`): route through the read-through
resolver.
- `9535ae63d` — resolves the parent run through an injectable run store
in `TriggerFailedTaskService`.
- `bf8f7c881` — drops the "known-migrated" concept from write-path and
read repos; residency is id-shape only.
- `515b897ea` — self-defaults `resolveWaitpointThroughReadThrough` to
the safe run-ops clients.
## Why
PR6 of the run-ops split stack. This is the write-path counterpart to
the read foundation in the previous PRs: with it in place, both reads
and writes route through the seam. Additive when the split is disabled
(id-shape resolution collapses to the control-plane client);
behavior-changing on the minting, idempotency, and lifecycle paths when
enabled.
## Tests
Large new/expanded vitest suite under `apps/webapp/test/` and colocated
service tests: trigger-task and batch-trigger store routing, residency
inheritance, idempotency dedup residency + legacy-authority, bulk-action
read routing, cancel-dev-session routing, alerts store routing,
runs-repository read-through, realtime session/run-reader read-through
and stream-registration routing, and the waitpoint read-through default.
Testcontainers-backed; no mocks.
## Notes
Draft, **stacked on #4117** (`runops/pr05-webapp-foundation`). Review
that first; this diff is against it.
Server-change / changeset note to be added at stack-assembly time.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…#4119)
## What
Extends the ClickHouse runs-replication service to fan in from multiple
Postgres sources (the control-plane DB and the run-ops DB) instead of a
single source, plus the admin operations to run and observe it.
- **Multi-source fan-in** (`services/runsReplicationService.server.ts`,
new `runsReplicationInstance.server.ts`,
`runsReplicationGlobal.server.ts`): factors the replication service into
per-source instances and a coordinator so a single ClickHouse target is
fed from more than one Postgres source.
- **Admin ops** (`routes/admin.api.v1.runs-replication.status.ts`,
`admin.api.v1.runs-replication.backfill.ts`,
`v3/services/adminWorker.server.ts`): adds a status endpoint reporting
per-source replication state and updates the backfill entrypoint for the
multi-source shape.
## Why
PR7 of the run-ops split stack, and the final piece: once run state can
live in a separate run-ops DB (earlier PRs), the analytics replication
into ClickHouse has to consume both sources so runs remain queryable
regardless of residency. Behavior-changing for the replication service
internals; the ClickHouse-facing output is unchanged (still one runs
stream), and single-source operation is preserved when the split is not
enabled.
## Tests
New vitest coverage: `runsReplicationInstance.test.ts` (per-source
instance behavior) and `runsReplicationService.part8`/`part9` suites
exercising the multi-source coordinator. Testcontainers-backed
(ClickHouse + Postgres); no mocks.
## Notes
Draft, **stacked on #4118** (`runops/pr06-write-path`). Review that
first; this diff is against it.
Server-change / changeset note to be added at stack-assembly time.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
#4142)
Tested to confirm that Claude Code picks up the `@AGENTS.md`
automatically with no agent turns.
…4151)
## Problem
`LogicalReplicationClient` uses a Redlock leader lock to guarantee a
single active consumer per Postgres logical replication slot. The lock
resource was keyed on the client `name`:
```
logical-replication-client:${this.options.name}
```
A slot permits exactly one consumer, so the lock's job is to serialize
consumers **of a given slot**. Keying it on `name` breaks that whenever
two clients target the same slot with different names — most notably
across a rolling deploy where the client `name` changes but `slotName`
does not. Both acquire *distinct* locks, both consider themselves
leader, and the second to reach `START_REPLICATION` hits `replication
slot "<slot>" is active for PID <n>`. Because that query was
fire-and-forget and its failure was only logged (no retry), the consumer
stopped and replication stalled until the process was restarted.
## Fix
**1. Key the leader lock on `slotName`** — the actual single-consumer
resource:
```
logical-replication-client:${this.options.slotName}
```
Consumers of the same slot now contend on the same lock and hand off
cleanly across restarts/deploys; different slots stay independent.
`name` is kept for logging and the pg `application_name`.
**2. Self-healing resubscribe** (`resubscribeOnFailure`, opt-in) —
instead of logging-and-dying, a client re-subscribes with exponential
backoff after a lost election or a failed `START_REPLICATION`, so a
rolling deploy self-heals: the incoming pod retries until the draining
pod releases the slot, then takes over. Safety:
- `#cleanupAttempt()` unconditionally ends the pg client (freeing the
walsender) and releases the leader lock before rescheduling — retries
never leak connections/locks.
- `shutdown()` sets an intentional-stop latch re-checked after every
`await` in `subscribe()` (and aborts the lock-acquire spin), so a
resubscribe can never race or outlive an intentional shutdown.
- Backoff resets only on genuine stream start, so a permanently stuck
slot backs off to the ceiling and logs loudly rather than tight-looping;
an epoch guard neutralises stale `START_REPLICATION` catches.
Runs- and sessions-replication opt in and use `shutdown()` for all
intentional stops.
**3. Observability** — the admin runs-replication status route probed
the old name-keyed Redis key (would report `leader:false` for every
source after fix#1); now probes the slot-keyed key.
## Tests
`internal-packages/replication/src/client.test.ts` (real Postgres +
Redis containers):
- same-slot/different-name → second client must not double-lead or race
into "slot is active" (the regression)
- a failing `START_REPLICATION` retry loop must not leak connections or
locks
- `shutdown()` during an in-flight `subscribe()` must not leave a zombie
leader
- `subscribe()` after `shutdown()` re-arms `resubscribeOnFailure`
- self-heals once the leader releases the slot
Plus the multi-source wiring test updated to the slot-keyed lock keys.
## Rollout
With the self-healing resubscribe, this ships as a **plain rolling
deploy** — the incoming pods retry across the one-time lock-key
transition and take over once the old pods drain (a brief replication
stall that the durable slot replays on reconnect — no data loss). No
stop-before-start required.
…4150)
## What
Adds the ability to **automatically migrate the dedicated run-ops
database** (the NEW DB in the run-ops split), matching how every other
database in the system is migrated. Follow-up to the run-ops split
activation.
## Changes
- **Migrate runner** — new
`internal-packages/run-ops-database/scripts/migrate.mjs`, exposed as
`db:migrate:deploy` / `db:migrate:status`. Connects via
`RUN_OPS_DATABASE_URL` (the same var the app uses) and expands `${VAR}`
refs like Prisma's dotenv.
- **Self-host** — `docker/scripts/entrypoint.sh` runs the run-ops
migration on boot when the DB is configured, gated by
`SKIP_RUN_OPS_MIGRATIONS`. Single-DB installs never set the URL, so it's
a clean no-op.
- **Single env-var family** — the run-ops DB is now addressed by one
canonical `RUN_OPS_*` family, connect path and migrations resolving the
identical URL:
- `RUN_OPS_DATABASE_URL` (writer) — replaces `TASK_RUN_DATABASE_URL`
- `RUN_OPS_LEGACY_DATABASE_URL` — replaces
`TASK_RUN_LEGACY_DATABASE_URL`
- `RUN_OPS_DATABASE_READ_REPLICA_URL` — replaces
`TASK_RUN_DATABASE_READ_REPLICA_URL`
- the old `TASK_RUN_*` aliases, the `??` coalesce, the
`runOpsNewDatabaseUrl` indirection, and the migrate-only `directUrl` are
all removed (consumers read `env.RUN_OPS_DATABASE_URL` directly).
`directUrl` was dropped because it was only ever used by `prisma
migrate` (never the app runtime) to bypass a pooler for advisory locks —
premature here since the run-ops connection isn't wired to the app yet.
If a pooler is later introduced for the app, a direct URL can be
reintroduced then.
## Safety
- **Pure rename** — nothing deployed sets any `TASK_RUN_*` var (the
split isn't activated anywhere yet; `.env.example`, docker-compose, and
cloud already use `RUN_OPS_*`), so there is no config migration.
- **Single-DB / self-host** — no new required env var; entrypoint and
migrate are no-ops when `RUN_OPS_DATABASE_URL` is unset.
- **Cloud** — runs migrations as pre-deploy ECS tasks (companion cloud
PR), calling these same `db:migrate:deploy` / `db:migrate:status`
commands.
## Verification
- Live migration against a fresh scratch DB with only
`RUN_OPS_DATABASE_URL` set: both migrations applied, no `P1012`/`P1013`;
`${VAR}` expansion, idempotent re-run, `status`, and no-op skip all
pass.
- Schema parity 4/4; `typecheck --filter webapp` 18/18; affected
split/replication tests 34/34.
## Scope
This delivers automatic migrations only. Enabling the app to *use* the
new DB (setting `RUN_OPS_DATABASE_URL` + `RUN_OPS_SPLIT_ENABLED` on the
service) is a separate activation step.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…4152)
## Summary
The **Run ID** and **Batch ID** filters on the runs list, batches list,
and logs view rejected valid IDs. The input showed an error and the
**Apply** button stayed disabled, so filtering by an affected run or
batch ID from the dashboard was impossible.
The filter validators hard-coded exact friendly-id character lengths.
Friendly IDs come in three generations that all still exist in the data
(`<prefix>_` plus a 21-char nanoid, a 25-char cuid, or a 27-char ksuid),
and the hard-coded lengths never covered all three at once.
## Fix
All the ID filter validators (run, batch, waitpoint, schedule) now share
one helper, `makeFriendlyIdValidator`
(`apps/webapp/app/utils/friendlyId.ts`), which validates by prefix plus
a base62 body of any known generator length (21 / 25 / 27). The cuid and
ksuid lengths are sourced from core so the helper tracks any future
change to those formats. Unit tests assert it accepts the output of the
real id generators and rejects malformed input.
Downstream was already unaffected: run/batch route params and
URL-applied filters use unconstrained validation, so only the manual
filter inputs needed the fix.
…ID) (#4154)
## Problem
The run-ops split mints NEW-store run ids as **27-char base62 KSUIDs**.
The supervisor writes the run id into the Kubernetes pod name
(`runner-<id>`), and pod names must be DNS-1123 labels (lowercase
`[a-z0-9-]`) — so uppercase base62 ids make k8s reject the pod (422) and
**those runs never launch** (they loop in `PENDING_EXECUTING` until the
heartbeat-stall handler nacks them, forever). `.toLowerCase()` can't fix
it: base62 has both `A`(10) and `a`(36) as distinct symbols, so folding
collides distinct ids and destroys sort order.
## Fix: change the encoding, not the structure
Mint a **26-char lowercase base32hex** run id:
```
run_<24-char base32hex core><region char><version char>
[ 6-byte ms timestamp ][ 9 CSPRNG bytes ]
```
- **base32hex** (RFC 4648 §7, alphabet `0-9a-v`): lowercase,
order-preserving, DNS-safe; 15 bytes → exactly 24 chars, no padding.
Hand-rolled encode/decode (no new dependency).
- **48-bit ms timestamp** in the leading bytes → plain string sort ==
creation order at millisecond resolution.
- **72 bits CSPRNG** entropy; PK unique constraint is the backstop (no
retry loop).
- **region / version** are raw positional chars (read via one `charAt`
before decoding/routing), version = `"1"`.
DNS-safe from birth and hyphen-free, so **firekeeper is unchanged** —
`runner-<id>-attempt-N` → strip `runner-`, cut at first hyphen still
recovers the exact id incl. region+version.
## Residency discriminator: length → version char
`classifyKind`/`classifyResidency` (`runOpsResidency.ts`) previously
distinguished NEW vs LEGACY by **id length**. That gets ambiguous with a
third format. It now discriminates on the **version char at a fixed
position** (`isRunOpsIdBody`: 26 chars, `[25] === "1"`, base32hex
alphabet) → NEW; everything else → LEGACY. Total, never throws. The
`Residency` (NEW/LEGACY) contract the routing store consumes is
unchanged; the `"ksuid"` `ResidencyKind` label is retained only because
it's the persisted `runOpsMintKsuid` feature-flag value.
## Scope / verification
- Generator + discriminator in `@trigger.dev/core` isomorphic; mint path
+ all id-shape call sites swept (~40 webapp files); changeset added
(`@trigger.dev/core` patch).
- Core unit tests (encode/decode round-trip + property, generator shape,
ms sort-order incl. intra-second, parse partitioned-vs-legacy,
firekeeper round-trip): **24 pass**. `@trigger.dev/core` builds; webapp
typechecks; format/lint clean.
## Open decisions (flagged, not silently chosen)
1. **Backward-compat**: existing 27-char base62 KSUID runs now classify
LEGACY. On test cloud these are the broken/looping runs that never
completed, so this is acceptable — but worth a conscious call before
prod. No transitional length-recognition added (keeps the discriminator
clean).
2. **Storage collation**: the sort guarantee is byte-order — if the
run-ops id column is `TEXT` with default locale collation it's silently
not honored. Confirm whether `COLLATE "C"` / `BYTEA` is needed on the
run-ops schema.
3. **Region sourcing** wiring — see `regionCharForRegion` /
`REGION_CODES`.
---
## ⚠️ Required migration — deploy in lockstep
This PR renames a persisted feature-flag key/value and an env var. These
are **not** changed by the code alone and must be migrated when this
deploys, or affected orgs silently fall back to `cuid` minting (no crash
— `defaultValue: "cuid"`):
1. **Env var** (terraform): `RUN_OPS_MINT_KSUID_ENABLED` →
`RUN_OPS_MINT_ENABLED` (carry the value over).
2. **DB** `organization.featureFlags`: migrate both the key and value
together:
- key `runOpsMintKsuid` → `runOpsMintKind`
- value `"ksuid"` → `"runOpsId"`
Until an org's flag row is migrated, its `runOpsMintKind` lookup misses
and it mints `cuid` (legacy) — so no NEW-store ids for that org until
the data lands.
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…reaks publish) (#4156)
## Build-blocker hotfix
`publish.yml` on `main` is failing to build the image after #4154
merged:
```
@trigger.dev/database:generate: Error: Cannot find module '/triggerdotdev/scripts/retry-prisma-generate.mjs'
… ERROR: process "/bin/sh -c pnpm run generate" did not complete successfully: exit code: 1
```
## Cause
#4154 (Windows-CI hardening) changed the `generate` scripts of
`@trigger.dev/database` and `@internal/run-ops-database` to call `node
../../scripts/retry-prisma-generate.mjs`. But `docker/Dockerfile`'s
`builder` stage does `COPY docker/scripts ./scripts` (replacing the
scripts dir) and then copies back only the specific root scripts it
needs (`updateVersion.ts`, `bundleSdkDocs.ts`) before `RUN pnpm run
generate` — the new `retry-prisma-generate.mjs` wasn't copied, so `pnpm
run generate` can't find it and the image build fails.
`publish.yml` only runs on push to `main` (not on PRs), so #4154's PR CI
never built the image and this slipped through.
## Fix
One line — copy the retry script alongside the other root scripts before
the generate step:
```dockerfile
COPY --chown=node:node scripts/retry-prisma-generate.mjs scripts/retry-prisma-generate.mjs
```
## Verification
Built locally with `docker build --target builder` (the stage that runs
`pnpm run generate`) to confirm the generate step now passes — result
appended once it finishes.
No changeset / `.server-changes` — Dockerfile/build-only change, no
package or server-runtime change.
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…4157)
## What
Adds the missing `COPY scripts/retry-prisma-generate.mjs` to the
supervisor `Containerfile` builder stage, before `RUN pnpm run
generate`.
## Why
The `generate` scripts in `internal-packages/database` and
`internal-packages/run-ops-database` shell out to
`scripts/retry-prisma-generate.mjs`. The supervisor build never copied
that file into the image, so `pnpm run generate` failed:
```
@internal/run-ops-database:generate: Error: Cannot find module '/app/scripts/retry-prisma-generate.mjs'
```
This is the same failure class as #4156 (webapp Dockerfile). The
supervisor `Containerfile` is the **only other** build file that runs
`pnpm run generate` — the coordinator / docker-provider /
kubernetes-provider Containerfiles don't, so this completes the fix.
## Verification
Local `docker build` of the supervisor `Containerfile` builder target —
result appended below once the build completes.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…eplication source (#4160)
## Summary
The run-ops runs-replication source now takes its connection URL from
`RUN_REPLICATION_RUN_OPS_DATABASE_URL`, required whenever the run-ops
split is enabled.
The runs replicator speaks the Postgres streaming replication protocol,
which cannot run through a transaction pooler, so it needs its own
direct endpoint separate from the app's `RUN_OPS_DATABASE_URL` (which
may point at a pooler). When the split is on and this is unset, boot
fails via `SplitReplicationMisconfiguredError` rather than silently
falling back to a wrong endpoint.
…eads on the resume path (#4163)
## Summary
On the run-ops split, NEW-residency runs could hang. Time-based waits
(`wait.for`, `wait.until`, `delay`, waitpoint tokens),
`batchTriggerAndWait`, and attempt starts stalled and never resumed.
Each was a run-ops read or update that hit the wrong database: either
the owning store's read replica when it needed read-your-writes, or the
wrong store entirely because it routed by an id that does not encode
residency.
## Fixes
**Waitpoint resume (the main hang).** The managed resume path reads a
run's completed waitpoints by snapshot id
(`findSnapshotCompletedWaitpointIds`). Snapshot ids are cuids, which
always classify to the legacy store, so a NEW run's join rows (which
live on the new store) were never found. The resumed run saw zero
completed waitpoints and hung. It now fans out across both stores and
merges, like its sibling readers.
**Batch completion.** Batch item completion
(`updateManyBatchTaskRunItems`) routed by the item id, which is also a
cuid, so a NEW batch's items were updated on the wrong store, matched
zero rows, and the batch was treated as already complete (its parent's
`batchTriggerAndWait` then hung). It now routes by the batch id, which
does encode residency, matching the sibling `countBatchTaskRunItems`.
**Read-your-writes on the resume path.** The block-time
pending-waitpoint check (`countPendingWaitpoints`) and the attempt-start
lock check (`findRun` in `startRunAttempt`) both read the owning store's
replica with no read-your-writes guarantee, so a just-committed
waitpoint completion or dequeue lock could be missed under replica lag
and strand the run. Both now read the owning primary.
Each fix ships with a two-database store or engine test that reproduces
the hang and passes with the fix.
Extend the SSO plugin contract for directory sync and apply membership
effects
from the accounts webhook worker: provision users in mapped groups (role
from
group mapping, else the org default role), deprovision on removal, and
keep a
sticky-removal tombstone so JIT never silently re-adds a removed user.
JIT and
Directory Sync coexist; roles default to Developer (the JIT default-role
picker
has no 'None'). Changing a group's role in the dashboard re-applies it
to that
group's current members immediately. The Directory Sync settings section
(group→role mapping, external-domain + manual-membership policy,
deferred Save)
appears once a domain is verified — independent of SSO — gated by the
hasSso
flag. The settings page polls the whole page while entitled with
override-aware
drafts so in-progress edits are never clobbered.
…sume (#4164)
## Summary
On the run-ops database split, a run that waits (`triggerAndWait`,
`batchTriggerAndWait`, `wait.forToken`) could hang forever after its
wait had already completed. The runner reads a resume from
`/snapshots/since` exactly once: if that read returned the resume
snapshot without its completed-waitpoints, the runner logged "executing
without completed waitpoints", advanced its cursor, and never re-read
it, so the awaiting run never continued.
## Root cause
The resume snapshot and its completed-waitpoint rows were written as two
separate commits. This regressed when the split replaced Prisma's atomic
nested `connect` with an FK-free insert (in
[#4163](#4163)), and
`/snapshots/since` is served from a read replica. A fetch landing in the
sub-millisecond gap between the two commits, or a multi-reader replica
serving the snapshot from a different point in time than its join rows,
delivered an empty resume. Because the runner consumes each snapshot
once and treats an empty resume as terminal, a single stale read was
fatal and produced a permanent, nondeterministic hang.
## Fixes
- Commit a snapshot and its completed-waitpoint links in one
transaction, restoring the atomicity the split removed.
- Repair the completed-waitpoints from the owning primary when a
multi-reader replica serves the snapshot without its join rows. This
covers single-waitpoint resumes, which carry no
`completedWaitpointOrder` and so were missed by the count-based repair.
- Read the primary in the checkpoint `WAIT_FOR_BATCH` pre-check, so a
batch that already resumed is not re-suspended into a stall.
- Fall back to the primary when a waitpoint token misses both read
replicas, so a token completed immediately after it was minted no longer
returns a spurious 404.
- Route batch-item creation by `batchTaskRunId`, consistent with the
batch-completion count and the row's foreign key.
- Reject control-plane-only relation selects on the dedicated schema
with a clear error instead of an opaque Prisma failure, and stop
`createDateTimeWaitpoint` bypassing residency routing through a caller
transaction.
Verified against the deployed split topology: a resume snapshot and its
completed-waitpoints are now always delivered together, so the runner
can no longer drop a resume.
ericallamand others added 30 commits August 5, 2026 15:52
## Summary
Every Prisma client built its connection URL with a `connection_timeout`
query param, but the Postgres connector's parameter is
`connect_timeout`. The misspelled param is silently ignored, so all
clients fell back to Prisma's 5s default instead of the configured
timeout. When establishing a new connection briefly took longer than 5s
(for example during connection spikes), it failed with `Can't reach
database server` even though the database was healthy.
## Fix
All four client builders now construct their connection URL through one
shared helper (`buildPrismaConnectionUrl`) that sets `connect_timeout`,
so the configured value actually applies, and the parameter name lives
in exactly one place. Covered by a unit test.
…ion (#4512)
## Summary
Triggering a run with a very large `priority` could fail run creation
outright with an opaque database error. `priority` is multiplied by 1000
and stored in a 32-bit integer column, with nothing bounding it, so a
big enough value overflowed the column and the create failed. The
trigger now caps the value to the highest supported priority instead of
erroring, so the run is still created.
## Fix
`priorityMs` (the stored `priority * 1000`) now goes through a
`clampPriorityMs` helper before the write. It rounds to a whole number
and clamps into the column range at both ends, so only a valid integer
ever reaches the column and an out-of-range priority caps rather than
failing. Single and batch triggers share the write path, so both are
covered.
## Summary
Allow projects using TypeScript 7 to enable `emitDecoratorMetadata()`
without adding the TypeScript 6 compiler to every Trigger.dev CLI
installation. Addresses #4500.
## Fix
The extension now resolves TypeScript from the project and
feature-detects the legacy compiler API. TypeScript 5 and 6 continue
using the project's compiler, while TypeScript 7 projects can install
Microsoft's optional `@typescript/typescript6` compatibility package
alongside TypeScript 7.
When no compatible compiler API is available, the build reports an
actionable installation error. The extension documentation includes
setup commands for npm, pnpm, and Bun.
Verified with TypeScript 5, TypeScript 6, TypeScript 7 with and without
the compatibility package, emitted decorator metadata, packed ESM and
CommonJS consumers, package export checks, and typechecking.
…4515)
## Summary
Follow-on to #4513. The database connect timeout is now honored, but a
single global value has to serve three separate databases at once
(control-plane, legacy run-ops, and run-ops). This adds optional
per-client overrides for the Prisma pool and connect timeouts, one pair
for the writer and one for the read replica of each of the three
databases, each falling back to the shared `DATABASE_POOL_TIMEOUT` /
`DATABASE_CONNECTION_TIMEOUT` when unset.
That lets one database's clients run a fail-fast connect timeout (with a
bounded pool wait) while another keeps more headroom, without a single
knob forcing the same tradeoff everywhere. No behavior change until an
override is set.
It also tags each client's queries with its specific datasource
(`control-plane` / `legacy-run-ops` / `run-ops`, writer or replica) via
the `db.datasource` span attribute, so telemetry can attribute
connection behavior to a specific database instead of just
writer-vs-replica.
## Summary
On the run-ops store, creating a run could intermittently fail with a
"Transaction already closed" error, and the run would never be created.
Single-write run creates no longer run inside an interactive
transaction, so a brief database write stall can't blow the transaction
budget and drop the run.
## Fix
The dedicated run-ops `createRun` / `createFailedRun` wrapped a single
nested `taskRun.create` in an interactive `$transaction`. Its default 5s
budget is wall-clock from `BEGIN`, so when a write briefly stalls the
transaction expires before the create completes and throws, even though
the statement itself is fast at the database.
A single-write create does not need an interactive transaction: Prisma's
implicit nested create is already atomic and holds no app-side budget,
so it now runs directly. Only the `triggerAndWait` path (run plus its
associated waitpoint, two writes that must commit together) keeps an
interactive transaction, now with headroom over the default.
Verified with a red/green test against the real split topology
(reproduces the exact expiry on the unchanged code, green after) and an
end-to-end run created and completed through the dedicated store.
…s comment lookup (#4507)
## Findings addressed
- **Report bot edited the wrong comment.** The comment-lookup step
matched on the marker body text with no author predicate, so it would
silently PATCH a human's comment that happened to quote the marker
(GitHub gates comment editing on write access, not authorship, so it
never 403'd). Now constrained to `.user.login == "github-actions[bot]"`,
the same identity `helm-prerelease.yml` already pins.
- **A required check asserted facts about the whole webapp namespace.**
`webappSymbols.test.ts` asserted that nobody anywhere in `apps/webapp`
(walking locals, params, object keys) declares names like
`createJWT`/`updateEnvVars`, so an unrelated PR naming a local variable
failed a required check with a message pointing at nothing. Those
negative self-tests move onto a package-owned fixture tree; the positive
resolution assertions stay required (their absence rotted the tool
before) but now name the list to edit.
- **The suite ran twice on shared paths.** `obsmap` and `internal` path
filters shared four generic paths (`package.json`, both lockfiles,
`pr_checks.yml`), so any lockfile bump ran the observability-map suite
in both jobs. Dropped from `obsmap` (where `internal` already covers
them). The test that should have caught it only checked the package's
own source path; it now asserts the two filters' path intersection is
empty.
- **PR-comment footer** reworded: it said the report gates nothing,
which is true of the report but misled now that the tool's test suite
does gate webapp PRs. Names both failure directions and where to read
the rules.
- **Nightly corpus** comment corrected (stale entry count; the
failure-notification gap is documented, not silently implied).
## Review
Two adversarial reviewers ran over the diff; both findings were verified
and fixed: a hollow fixture assertion (a shared name satisfied either
walker branch — now one name per declaration form, revert-confirmed) and
a filter-intersection test that could be fooled by apostrophes in
comment prose (now strips comment lines first). Full package suite green
(877 passed), typecheck and format clean.
Adds a shared `pageMeta()` helper and 74 route declarations, so a title
reads `run_abc | Runs | Trigger.dev` — the specific thing first, then
the page. Org pages also carry the organization: `Team | Acme |
Trigger.dev`. Inside a project no scope is added, because the dashboard
switches projects in every tab at once.
Page names are unchanged; what's new is that a page says which one it is
at all. Three wording changes on purpose: the queue page now names the
queue, the model page names the model, and entity pages carry their
section.
## Summary
Projects can create, inspect, expire, and revoke multiple API keys for
each environment. Plaintext values are shown only at creation; stored
credentials are hashed and the API keys page displays only an obfuscated
suffix afterward.
Self-hosted installations support full-access additional keys by
default. Authorization extensions can provide additional access presets
and optional task selection. Additional keys can also mint scoped public
access tokens through the Trigger.dev API without receiving the
environment signing key.
## Feature notes
- Only admin+ can create API keys (Developer can make in Development
branch).
- JWT self-signing will be a server call when used with new `_ak_` keys.
- JWTs with long expiry can keep working even with api key deleted (gets
priveleges from api key, signed with root key)
- Unfiltered session listings intentionally preserve the existing broad
task-read behavior. Filtered listings enforce task-level scopes for
every requested task.
- Buffered runs without a task identifier are not safely authorizable,
so cancel/replay requests fail closed rather than resolving an unscoped
run.
- Batch and waitpoint endpoints intentionally return server-minted,
narrowly scoped public tokens to all callers. These tokens have bounded
lifetimes and may remain valid until expiry after API-key revocation.
## Deployment notes
Deploy the management UI and public-token endpoint with new key creation
disabled. Enable creation for selected organizations after the
authentication path and released SDK have been verified, then expand
availability gradually.
Revoking an API key prevents new bearer requests and new token minting.
Public tokens already minted by that key remain valid until their own
expiration because they are signed by the environment signing key.
## TODO
- [x] Add "Created by" to the key table
- [x] Document that streamed batch ingestion is non-atomic and may
partially accept items before a validation or authorization error.
## Follow-ups
- [x] Add an organization-level feature flag for the API key management
UI and creation action.
- [x] Document rollout ordering: enable additional-key lookup before
enabling issuance.
- [x] Add a system-wide gate that can stop new key issuance without
disabling authentication for existing keys.
- [x] Replace the generic SDK compatibility warning with the first
published compatible version. Old SDK will mint an unusable token if
given an `_ak_` key.
- [x] Add public documentation covering creation, storage, expiration,
revocation, SDK compatibility, and public-token lifetime behavior.
- [x] Add observability for key creation, revocation, policy preparation
failures, and public-token mint failures.
- [ ] Exercise create, copy-once display, authenticate, mint, expire,
and revoke flows end to end before broad enablement.
…environment (#4508)
## What
Rate-limit the API by **environment** rather than per API key.
Previously the limiter keyed its bucket on the hash of the full
`Authorization` header — one bucket per key. With additional environment
API keys (`tr_*_sk_*`), an environment can mint many keys and each got
its own full bucket, so more keys = higher effective rate limit. This
collapses all of an environment's keys onto a single shared
per-environment bucket, so the ceiling is exactly the configured limit
regardless of key mix.
## How
- `authorizationRateLimitMiddleware` now lets the override return `{
config?, identifier? }`. `identifier`, when present, is the rate limit
bucket key; otherwise it falls back to the hashed `Authorization` header
(unchanged legacy behavior, still used by `engineRateLimiter` and any
unauthenticated fallthrough).
- `apiRateLimiter`'s override resolves the environment id and uses it as
the identifier:
- **Additional keys** (`isAdditionalApiKey`) resolve via a new
`resolveAdditionalApiKeyRateLimitScope()` — a **scope-agnostic** keyHash
→ (environmentId, org limiter config) lookup. It is deliberately
permissive (restricted keys resolve too) because it's used **only for
bucketing, never as an auth decision** — request auth still goes through
the RBAC bearer controller, which enforces scopes. Revoked/expired keys
are excluded so they can't hold a bucket warm.
- **Root/legacy keys** reuse the environment already resolved by
`authenticateAuthorizationHeader` and key on `environment.id` too.
- The identifier is always the stable environment id, never the secret
key (which can rotate and would split the bucket).
- The whole override result is cached per key by the existing SWR cache,
so **no extra per-request lookup and no separate Redis mapping** is
added.
## Behavior notes
- Root + additional keys of the same environment now share one bucket
(ceiling = configured limit, not a multiple of it). Restricted
additional keys are included — they were the biggest gap, since they
authenticate via the RBAC controller and previously fell back to per-key
buckets.
- **Public JWTs** keep their existing fixed-window, per-token bucketing.
- One-time bucket reset on deploy (bucket keys change); harmless.
## Tests
- New: two tokens resolving to the same identifier share one bucket.
- New: with no identifier, bucketing stays per-key (legacy behavior
preserved).
- Updated existing override tests to the new `{ config }` return shape.
Base: `feat/multi-keys-surface`. Closes TRI-12888.
…ent (#4519)
## Summary
Adds a docs page for developers who already have a working Vercel AI SDK
chat app (`useChat` on the client, an `app/api/chat/route.ts` calling
`streamText`) and want to move it to `chat.agent`. There was no page
covering that path. `ai-chat/upgrade-guide` reads like it should be the
one, but it covers moving prerelease `chat.agent` code to the Sessions
release, which is a different reader.
The page is structured around what stays, what goes, and what is new,
because the reassuring part of this migration is how much is untouched:
the `streamText` call, model config, tool definitions, `useChat`, and
all message rendering carry over as-is. What gets deleted is the route
handler, the persistence glue wired into it, and any resumable-stream
setup. What is new is the agent task, two server actions, and
`useTriggerChatTransport`.
Covers moving tools onto the agent config so `toModelOutput` survives
past turn one, where existing database persistence goes
(`hydrateMessages` plus the turn hooks), a short section on what
durability you get once you are across, a note that
Hono/SvelteKit/Express follow the same shape, and a gotchas list built
from the mistakes this specific migration produces.
## Head Start
The one thing this migration makes worse is the opening response of a
new chat. The route handler answered out of a warm process; the agent
run has to be dequeued and booted first. That is the complaint the page
has to answer head on, so Head Start gets a full section rather than a
closing aside, plus a callout up top next to the "what changes" table so
nobody plans the migration without knowing it exists.
The section walks the four steps: splitting tool schemas away from tool
executes (the bundle-isolation constraint the whole feature rests on),
building the handler, mounting it back at `app/api/chat/route.ts` with
the original auth check wrapped around it, and the transport option.
Both server actions stay, because Head Start only owns the first turn.
Three gotchas go with it: a slow first turn without Head Start, Head
Start on but the route bundle still heavy, and the route timing out
because the handler holds the SSE response open for the whole turn
rather than just step 1.
The coding-agent prompt names Head Start as explicitly out of scope, so
an agent handed the migration does not attempt the tool split
unprompted.
Also fixes the `chat.headStart` example on `ai-chat/fast-starts`, which
set `stopWhen: stepCountIs(15)` after the spread.
`toStreamTextOptions()` pins `stopWhen` to `stepCountIs(1)`, so
overriding it makes the warm handler run steps the agent is supposed to
own (and `stepCountIs` was never imported in that snippet either).
## Migration prompt
The page also ships a copy-pasteable prompt for handing the migration to
a coding agent. It tells the agent to run `npx trigger.dev@latest
skills` first, so it picks up guidance version-pinned to the SDK
actually installed in the project, then read `quick-start.md`,
`frontend.md`, and `reference.md` (with `llms.txt` as the index) before
editing anything. The instructions are explicit about preserving the
existing model, prompt, and tool schemas rather than rewriting them.
Registered in `docs.json` under Agents, directly after Quick Start, so
it is picked up by the generated `llms.txt` and the per-page `.md`
variants.
…array (#4520)
Passing `debounce` in the per-item options of a batch trigger did
nothing when the items were an array. The option was accepted by the
types and by the API, then dropped before the request went out, so every
item created its own run instead of collapsing onto the debounce key.
Four public entry points were affected: `task.batchTrigger`,
`task.batchTriggerAndWait`, `tasks.batchTrigger`, and
`tasks.batchTriggerAndWait`. The streaming (async iterable) forms of the
same calls were already correct, as were `batch.trigger`,
`batch.triggerAndWait`, `batch.triggerByTask`, and
`batch.triggerByTaskAndWait`.
`useTaskTrigger` in `@trigger.dev/react-hooks` had the same silent drop
on the single-trigger path, so that is fixed here too. It also drops
`machine`, `priority`, `region`, `idempotencyKeyTTL`, and
`idempotencyKeyOptions`; those are left alone, since forwarding them is
a behaviour change beyond this bug.
Each batch item builder constructs its options field by field, which is
why one of them could fall behind without anything catching it.
TypeScript did not help: the literal is returned from a `.map` callback
inside `Promise.all`, so excess-property checking never fired against
the `BatchItemNDJSON[]` annotation, and the server's schema silently
strips unknown keys. A misspelled option name therefore reproduced this
bug with no compile error and no server error. Every builder now ends in
`satisfies BatchItemNDJSON`, which does catch it:
```
error TS2561: Object literal may only specify known properties, but 'debounceTYPO'
does not exist in type '{ ... debounce?: {...} | undefined; }'.
Did you mean to write 'debounce'?
```
The new test drives all six public batch surfaces in both array and
async-iterable form and asserts on the NDJSON that actually reaches the
wire. Each item carries a distinct debounce key so the test catches a
wrong item-to-option pairing, not just a wholesale drop.
Fixes#3304
…ast on an unusable maxDelay (#4521)
Debouncing with a `delay` longer than an hour did nothing at all.
The engine applied a server-side ceiling on how long a debounced run
could be pushed back, measured from the run's `createdAt` and defaulting
to one hour. A run is only pushed back while its new execution time
stays inside that ceiling, so a `delay` at or above it could never push
anything: the waiting run was released, the trigger started its own run,
and the next trigger repeated it. A `delay: "12h"` produced one run per
trigger, each correctly delayed by 12h, with no error raised and nothing
on the run to show the debounce key had been ignored.
The ceiling is now unset by default. A debounce key with no `maxDelay`
keeps collapsing triggers for as long as they keep arriving, which is
what the docs have always described. Self-hosters who want a bound can
still set `RUN_ENGINE_MAXIMUM_DEBOUNCE_DURATION_MS`.
That has a consequence worth stating plainly, so the docs now carry a
warning for it: with no `maxDelay`, a continuously triggered key never
executes. Set `maxDelay` when the work has to happen eventually.
**Failing fast on an unusable `maxDelay`.** A caller who sets `maxDelay`
no longer than their `delay` hits exactly the dead end described above,
so that pair is now rejected at trigger time instead of silently
behaving as if no debounce were set:
```
debounce.maxDelay (1h) must be longer than debounce.delay (12h). A debounced run is only
pushed back while it stays inside maxDelay, so with these values every trigger would create
its own run.
```
An unparseable `maxDelay` is rejected too, rather than quietly falling
back to no bound at all, and so is a `delay` given as a date rather than
a duration, which could never work because the value is re-applied on
every push.
The same check runs against a configured server ceiling, so a
self-hosted deployment that sets
`RUN_ENGINE_MAXIMUM_DEBOUNCE_DURATION_MS` gets the error rather than the
silent failure this PR is about. With no `maxDelay` and no configured
ceiling, which is the default, there is nothing to conflict with and
nothing is rejected.
The docs, the `TriggerOptions` JSDoc and the engine option all now state
that the room available to push is the gap between `delay` and
`maxDelay`. The run engine suite gains the case that motivated this:
four triggers on one key with a 12h delay now collapse to a single run.
## Summary
`syncDeclarativeSchedules` runs on every background-worker creation
(every deploy, and every file save during `trigger dev`). It issued one
instance-delete per declarative schedule the current worker no longer
declares, in a loop, and the overwhelming majority of those deletes
matched zero rows. This collapses the loop into at most two set-based
statements and skips the instance delete entirely when the current
environment owns no instance of the schedule.
## Why so many, and mostly no-op
The loop runs once per entry in `missingSchedules`, which starts as
every DECLARATIVE schedule for the whole project across all its
environments (the query filters only by `projectId`). A schedule leaves
that set only when a declared task matches it by `taskIdentifier`
**and** the schedule already has an instance in the current environment.
That last clause is the amplifier. When a task's schedule has no
instance in the current environment, the create branch inserts a
brand-new `TaskSchedule` row with an instance for this environment
rather than adding an instance to the existing row. So the same
scheduled task, once it has run in dev and been deployed to prod, exists
as two separate schedule rows: one carrying a dev instance, one carrying
a prod instance.
On a dev worker sync of that project:
- the dev-instance row matches the declared task and is removed from the
set
- the prod-instance row has the same `taskIdentifier` but no dev
instance, so it stays in the set and gets `deleteMany(taskScheduleId =
prodRow, environmentId = dev)`, which matches zero rows
So every declarative task that has been synced in another environment
contributes one guaranteed no-op delete per sync, and the count scales
with (declarative tasks x environments), plus any leftover rows from
renamed or removed tasks. A project does not need to have dropped a
schedule to generate these; it just needs the same declarative tasks
present in more than one environment, which is the normal
develop-in-dev, deploy-to-prod case.
## Fix
The candidate schedules are already loaded with their instances, so the
branch is decided in memory:
- schedules with no instances (or only current-environment instances)
are removed in a single `taskSchedule.deleteMany`
- schedules that still have another environment's instance have only the
current environment's instance detached, in a single
`taskScheduleInstance.deleteMany`, and only when such an instance
actually exists
Behavior is unchanged (cascade delete still removes the instances of a
deleted schedule); the difference is statement count. A zero-row delete
writes no WAL and creates no dead tuples, so the removed work was pure
query and commit overhead.
Verified with a testcontainer test (red before, green after) counting
the emitted deletes across the no-op, batched-detach, and
schedule-delete cases, and end to end through `trigger dev`: three
declarative schedules created, surviving a re-sync, then two removed in
a single batched delete with the third preserved.
Implementing PlanetScale Insights improvement.
## Summary
Validating a schedule (creating or updating one through the API or the
dashboard, and deploying a project that declares schedules) looks up the
newest version of a task by slug. That lookup reads *every* version of
the task and sorts them to return one. A project gains a row per task on
every deploy, so the work grows with the project's age: the oldest
projects pay the most, and dev-mode redeploys make it worse. This was
picked because it was the largest single consumer of database time on
the schedules path, and the fix is a sort key with no index behind it.
## Fix
`BackgroundWorkerTask` is indexed on `(projectId, slug)`, which serves
the equality but not the `ORDER BY createdAt DESC`. Postgres seeks the
index, then bitmap-scans and top-N sorts the whole group to produce a
single row. Adding `createdAt` to the index lets it scan backward and
stop at the first row.
The same call site also selected all 21 columns, including five JSON
blobs, to read one field (`triggerSource`), so it now selects that field
alone.
## Benchmark
Local Postgres 17, 997,000 seeded rows / 748 MB, group sizes chosen to
match the distribution seen in production.
| Group size | Before | After |
| --- | --- | --- |
| 15,000 versions of one task | 11.118 ms, 1,510 buffers, 15,000 rows
scanned | 0.027 ms, 4 buffers, 1 row |
| 2,000 versions of one task | 2.081 ms, 1,455 buffers, 2,000 rows
scanned | 0.022 ms, 4 buffers, 1 row |
```
before: Limit -> Sort (top-N heapsort) -> Bitmap Heap Scan
after: Limit -> Index Scan Backward using BackgroundWorkerTask_projectId_slug_createdAt_idx
```
An ascending index scanned backward is enough here, so no descending
index is needed.
## Impact and risk
Real-world gain lands between the two rows above and scales with how
many deploys a project has accumulated. Projects with few deploys will
see little change, since there is barely anything to sort.
The new index costs noticeably more than the existing two-column one: 43
MB against 7.3 MB on the benchmark rig. Adding `createdAt` makes every
key unique, which defeats btree deduplication, so this is a real disk
and write cost rather than a rounding error. Writes to this table happen
at deploy time, not on the run path, so the write amplification is
acceptable. The existing `(projectId, slug)` index is now a redundant
prefix and could be dropped, but this PR keeps it so index usage can be
observed before removing it.
Behavior is unchanged: same predicate, same ordering, same row returned.
The narrowed select is the only code change, and the field it keeps is
the only one the caller read.
Deploy note: the migration is
`20260806100000_add_background_worker_task_project_id_slug_created_at_index`
and uses `CREATE INDEX CONCURRENTLY IF NOT EXISTS`, so it can be
pre-applied by hand before the deploy.
…rigger (#4527)
## What
A trigger request carrying a Unicode NUL (`U+0000`) in the **idempotency
key** or **debounce key** reached `prisma.taskRun.create()` and failed
the insert, so the caller got an opaque 500 and the run was never
created.
These two keys are stored in `jsonb` columns (`idempotencyKeyOptions`,
`debounce`), and Postgres rejects a NUL inside a `jsonb` value with
`SQLSTATE 22P05` ("unsupported Unicode escape sequence ... cannot be
converted to text"). This fix strips the NUL from both keys at the
single trigger-input chokepoint (`#buildEngineTriggerInput`), which
every trigger path flows through (single, batch item, mollified, and
drainer replay).
Stripping matches the existing precedent for run errors and task events.
It does not change dedup behaviour: the idempotency **dedup identity**
is the hashed key (a clean 64-char digest), computed independently of
the raw key we clean, so dedup keeps working exactly as before. For
debounce the key is used directly, so the cleaned key also becomes the
grouping key, an acceptable change for input that is already malformed.
## Why not payload / metadata / tags
Those are `text` columns fed by `JSON.stringify`, which escapes a NUL to
a safe escape sequence, so they do not hit this failure on the normal
JSON path. (A raw NUL in a `text` column throws a different code,
`22021`, and is not what triggers this issue.) The observed failures are
the `jsonb` `22P05` variant, which is only reachable via the two key
fields.
## Evidence
Red then green (containerTest, real Postgres): with the fix reverted,
triggering through the real service with a NUL in
`idempotencyKeyOptions.key` / `debounce.key` fails with the exact
`22P05` signature; with the fix, the run is created and the stored key
has the NUL removed.
Full-stack e2e (isolated stack, real HTTP): `POST
/api/v1/tasks/:taskId/trigger` with a NUL inside
`idempotencyKeyOptions.key` (`"acme<NUL>inc"`) and, separately,
`debounce.key` (`"grp<NUL>1"`):
- both returned `HTTP 200` with a created run (previously `500`)
- stored `idempotencyKeyOptions` = `{ "key": "acmeinc", "scope": "run"
}` (7 chars, NUL removed)
- stored `debounce.key` = `"grp1"` (4 chars, NUL removed)
- both runs render in the dashboard
Unit tests cover the helper (strip, no-op fast path, object-reference
reuse, null/undefined pass-through).
## Rollout / rollback
Server-only webapp change, no flag. Zero behaviour change for clean
input; only affects inputs that previously 500'd. Rollback is a straight
revert, no data migration.
## Known limitation
A raw NUL in a plain-string idempotency key (not created via
`idempotencyKeys.create()`) lands in a `text` column and throws `22021`
instead. That variant is not addressed here because stripping it would
change the dedup identity, so it warrants a separate decision. Not
observed in practice.
refs TRI-13030
Adds [NERLOE](https://github.com/NERLOE ) to the list of vouched outside
contributors so their PRs aren't auto-closed by the vouch check.
…e sampling applies (#4532)
## What
The internal tracing `ParentBasedSampler` in `tracer.server.ts` left
`remoteParentSampled` at its default of `AlwaysOn`. Any request arriving
with a `traceparent` whose sampled flag was set got recorded in full,
bypassing `INTERNAL_OTEL_TRACE_SAMPLING_RATE` entirely. Because the SDK
propagates its (always-sampled) trace context on calls back to the
platform from inside running tasks, the large majority of API server
spans inherited a sampled parent and ignored the divisor. The sampling
knob was effectively inert on the busiest service.
This registers a custom propagator
(`NonInheritingTraceContextPropagator`) that stops adopting the inbound
trace as the parent:
- `inject` still delegates to the standard W3C trace + baggage
propagators, so outbound propagation is unchanged.
- `extract` drops the parent span (`trace.deleteSpan`) while preserving
baggage, so every incoming request roots its own trace and the ratio
sampler applies uniformly.
`remoteParentSampled` is also set to the ratio sampler as a
belt-and-suspenders fallback, in case an inbound sampled parent ever
reaches the sampler another way.
Two effects: the divisor becomes effective on the API server, and the
API no longer stitches onto (and inflates) the propagated task-run
traces, which is where the very large, un-thinnable trace chains came
from. Rooting each request removes those chains rather than only
diluting them.
Only the internal APM trace pipeline
(`INTERNAL_OTEL_TRACE_EXPORTER_URL`) is affected. The user-facing
run-trace pipeline (`otel.v1.traces` -> ClickHouse) is a separate path
and is untouched. The only consumer of the global propagator's `extract`
is the OTel HTTP/Express auto-instrumentation, so the blast radius is
inbound-request trace shape.
## Evidence (local full-stack red/green, divisor 10)
A local OTLP/JSON sink counting spans; a driver fires N requests at a
real endpoint, each carrying a distinct sampled `traceparent`, then
counts how many spans/traces carry that run's marker.
| run | code | sent | kept traces | kept fraction |
| --- | --- | --- | --- | --- |
| before | unmodified | 500 | 500 | 1.00 |
| after | this PR | 500 | 67 | 0.134 |
| after | this PR | 2000 | 213 | 0.1065 |
Before: 100% of inherited-sampled requests kept, divisor ignored. After:
~10% kept (the divisor), converging on it at larger N. In every
after-run each kept request is a single self-rooted trace (kept spans ==
kept distinct traces), confirming the inherited chains are gone, not
just thinned. `typecheck` passes.
## Rollout / rollback
No flag. Behavior stays governed by the existing
`INTERNAL_OTEL_TRACE_SAMPLING_RATE`. Rollback is a straight revert with
no data migration.
## Notes
Internal dashboards that count raw span or request volume from this
pipeline will read lower once this ships. That is expected: those counts
were inflated by the bypass, not a real drop in traffic.
Latency/percentile monitors retain plenty of samples at the current
divisor.
refs TRI-13031
## Summary
Prisma expands `in` / `notIn` into one bind parameter per element, so
every distinct list
length is a separate prepared statement. Where the length tracks data
volume (a batch size,
a run-graph fan-out, a prior query's id set) one call site can mint
hundreds of them. Each
is used about once, but inserting it evicts an entry that was being
reused, so the cost
lands on unrelated queries sharing the pooler's statement cache. An
unbounded list also
risks the 65535 bind-parameter ceiling.
`boundedIn()` pads a filter list to the next power of two by repeating
its last element.
`IN` and `NOT IN` ignore duplicates, so results are unchanged, and a
call site drops from
one statement per length to at most `log2(cap)`. Applied to all existing
sites.
## Enforcement
Two oxlint rules require the helper: a list filter must be an inline
array literal or a
`boundedIn()` call.
- The first covers filters reached through `where` / `having` /
`cursor`, and deliberately
never descends into `data`, `create`, `update`, `set` or `equals`. A key
named `in` in
those positions is user data, not a predicate, and rewriting it would
corrupt what gets
stored or compared.
- The second covers bare filter objects passed to where-building
helpers, which the first
cannot see. It found five sites in the run-graph batch loaders that were
otherwise
invisible.
Both rules follow filters through the shapes they are actually written
in: conditional
expressions, logical-and objects, spread-conditional properties,
computed keys, and call
arguments. An array literal only counts as fixed-arity when nothing
spreads into it, since
`[...new Set(ids)]` has a runtime length. Twelve sites were hidden
behind those shapes
until the rules handled them.
Scoped to `in` and `notIn`. The scalar-list filters `hasSome` and
`hasEvery` compile to
`&& $1` and `@> $1`, passing the whole array as a single bind parameter,
so their arity never
reaches the statement text and there is nothing to bound.
Both rules are `error`, so new call sites fail CI. That ratchet has
already caught four
sites added by other PRs while this one was in review.
## Notes
`boundedIn` pads by repeating rather than with null: `x NOT IN (a, b,
NULL)` is never true,
so null-padding a `notIn` filter would silently return no rows. Lists
above 32768 are
returned unchanged so padding can never push a query past the parameter
limit.
Route modules reach the helper through `~/db.server` rather than
importing the database
barrel directly, since a value import of that barrel into a module that
also exports a React
component is only safe while dead-code elimination prunes it.
Measured on a local rig: 300 distinct list lengths produce 300 prepared
statements
unpadded, 10 padded. Verified end-to-end against a local stack with the
full task-suite
sweep, which surfaced no regressions.
## What
Adds an opt-in path to run each Prisma client through
**`@prisma/adapter-pg`** (the node-postgres driver) instead of the
built-in engine driver, controlled by a **per-client env var, all off by
default**:
| env var | client |
|---|---|
| `CONTROL_PLANE_DATABASE_WRITER_DRIVER_ADAPTER` | control-plane writer
|
| `CONTROL_PLANE_DATABASE_REPLICA_DRIVER_ADAPTER` | control-plane
replica |
| `RUN_OPS_DATABASE_WRITER_DRIVER_ADAPTER` | new run-ops writer |
| `RUN_OPS_DATABASE_REPLICA_DRIVER_ADAPTER` | new run-ops replica |
| `RUN_OPS_LEGACY_DATABASE_WRITER_DRIVER_ADAPTER` | legacy run-ops
writer |
| `RUN_OPS_LEGACY_DATABASE_REPLICA_DRIVER_ADAPTER` | legacy run-ops
replica |
With every flag unset the construction path is byte-identical to today
(`datasources` URL + Rust engine), so this is inert until a flag is
turned on. Per-client granularity allows enabling the adapter only where
it's wanted.
## How
- Enables the `driverAdapters` preview feature on both schemas
(`@trigger.dev/database` and `@internal/run-ops-database`). This keeps
the **Rust query engine** — it does NOT add `queryCompiler` — so query
behavior, result types, and engine tracing spans are unchanged.
- A shared `buildDriverAdapterPool` builds each client's `pg.Pool` with
an explicit `max`, a bounded `connectionTimeoutMillis` (the
node-postgres pool otherwise waits unbounded on acquire), and an
`onPoolError` handler (an unhandled idle-connection error would
otherwise crash the process). Threaded through all four client builders
via a `useDriverAdapter` flag.
- Adds `@prisma/adapter-pg` + `@types/pg` to the webapp; `pg` is already
pinned at `8.15.6` (adapter-pg 6.x requires `pg < 8.17`).
## Connect-failure handling (the important correctness/security bit)
Under the adapter an unreachable DB no longer surfaces as
`PrismaClientInitializationError` / `P1001`; it becomes a `P2010`
"Database not reachable: <host>" (or a raw
`ECONNREFUSED`/`ENOTFOUND`-class error). Two handlers are updated so a
client on the adapter behaves like today:
- **`isInfrastructureError`** now recognizes those shapes (P2010 with a
connectivity message, and raw connectivity errno codes). Without this,
the DB **hostname would leak into API-client-facing errors** and the
failure would go unlogged. Security-relevant.
- **`isPrismaRetriableError`** treats the adapter's pool-acquire timeout
("timeout exceeded when trying to connect") as retriable, preserving the
`P2024` retry behavior the adapter otherwise drops.
## Evidence
Validated on an isolated stack that mirrors the production DB topology
(chained PgBouncers in front of writer + reader):
- **Behavioral parity:** raw-query results and Prisma error codes/`meta`
are byte-identical between the engine driver and the adapter across the
queried shapes (unique-constraint `meta.target`, record-not-found,
transaction-timeout, serialization-failure, etc.).
- **Feature matrix:** a full 380-project queue-ay pass shows no
adapter-caused regressions — pass/fail parity between adapter-off and
adapter-on, with the residual failures being pre-existing
known-failures/flakes common to both.
## Rollout / rollback
All flags default off; enable per client via env var, roll back by
unsetting and redeploying (no data migration). Recommended first target
is a single writer; enable one client at a time.
## Follow-ups (not in this PR)
- `$metrics`-based pool observability is removed under the adapter (the
Prometheus route + `db.pool.connections.*` instruments); the metrics
replacement (via `pg.Pool` counters) lands in a separate PR.
- Note for operators: on the adapter path, interactive-transaction
`maxWait` does not bound pool acquisition — `connectionTimeoutMillis`
does.
## Note on connection-string parameters
The adapter pool is built from the base DSN, so Prisma-specific DSN
parameters that node-postgres does not understand are not honored when a
client is on the adapter:
- **Prisma TLS spellings** (`sslaccept`, `sslcert`, etc.) —
node-postgres uses `sslmode`/`ssl` instead. Our production DSNs do not
use these Prisma-specific TLS params, but any deployment whose DSN
relies on them must be checked before enabling a flag.
- `pgbouncer=true` and `statement_cache_size` — effectively moot under
the adapter, which uses no persistent named prepared statements.
`connection_limit`, `pool_timeout`, and `schema` are handled explicitly
(passed as `max`/`connectionTimeoutMillis` and PrismaPg's `{schema}`
option).
refs TRI-13039
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
## Summary
Bumps the transitive `mermaid` in the lockfile from `11.14.0` to
`11.16.1`.
`mermaid` has no direct dependents here. It arrives through
`streamdown`,
which declares it as a hard dependency even though diagram rendering is
gated
behind the optional `@streamdown/mermaid` plugin, which we don't
install.
`streamdown@2.5.0` is its latest release, and its declared range
(`^11.12.2`)
already permits `11.16.1`, so this was a stale lockfile pin rather than
a
range conflict.
Done as a scoped override rather than a bare lockfile refresh, so the
floor
survives a lockfile regenerated from an older base:
```json
"mermaid@>=11 <11.16.1": "^11.16.1"
```
Net effect is 96 fewer lockfile lines, contained to mermaid's own
subtree.
`11.16.1` swapped out its parser, so the `langium` / `chevrotain@12` /
`vscode-languageserver-*` chain drops in favour of a single
`@chevrotain/types`, and `lodash-es` and `uuid@11` are no longer pulled
at
all.
The override goes away once `streamdown` makes `mermaid` an optional
peer of
its diagram plugin instead of a hard dependency.
…4544)
When the health report had no start-latency measurement for the window,
it printed a confident "p95 0ms" and graded it healthy. It now shows
"unknown" for that metric and skips grading it, so an absent measurement
can't read as a green signal.
A genuinely measured 0ms is still shown as 0ms: the loader keeps "no
measurement" distinct from a measured zero instead of coercing both to
0.
…layers (#4551)
Deploy images previously shipped node_modules and the bundled task code
in a single layer, so every deploy re-pushed and re-pulled the full
dependency tree even when nothing in it changed. The generated
Containerfile now copies `/app/node_modules` as its own layer and the
app files separately. With unchanged dependencies the dependency layer
is identical across deploys, so registries and workers already have it
and only the code layer moves.
…r adapter (#4541)
## What
Follow-up to #4539. The driver-adapter work is inert until a client
flips to the pg driver adapter, but the moment one does, our database
observability degrades: the OTel metrics pipeline reads pool stats from
Prisma's `$metrics`, which is owned by the Rust engine's `quaint` pool.
Under the adapter, `pg.Pool` owns the pool, so those gauges read zero.
The pipeline also only ever scraped a single client (the control-plane
writer singleton).
This PR makes database metrics driver-agnostic and per-client:
- Every configured client registers a metrics source: control-plane
writer/replica, run-ops writer/replica, legacy writer/replica.
Previously only the control-plane writer singleton was scraped.
- Each OTel instrument is observed per client with `db_client` and
`db_driver` (`quaint` | `pg-adapter`) attributes. `db_client` uses our
canonical datasource-role labels (`control-plane-writer`,
`control-plane-replica`, `run-ops-writer`, `run-ops-replica`,
`legacy-run-ops-writer`, `legacy-run-ops-replica`) — the same strings
used for the `db.datasource` span attribute, so a metric and a trace
point at the same pool.
- Pool figures come from the authoritative source per driver:
- **pg-adapter**: `pg.Pool` (`totalCount`/`idleCount`/`waitingCount`,
plus cumulative opened/closed from `connect`/`remove` events).
- **quaint**: the Rust engine's `$metrics` pool gauges/counters, exactly
as before.
- Query counters and duration histograms still come from `$metrics` for
both drivers (the Rust engine executes queries in both cases).
- New `db.pool.connections.waiting` gauge (pg.Pool exposes this; quaint
reports 0).
- Stops exporting Prisma metrics from the Prometheus `/metrics` route.
Pool observability now lives entirely in the OTel pipeline, per driver,
per client.
## Why
So we can flip any client (including the control-plane writer, the
primary desync-fix target) to the driver adapter without losing pool
visibility. Existing dashboards keyed on the same metric names keep
working; they gain a per-client dimension.
## Testing
Unit (`apps/webapp/app/utils/databaseMetrics.server.test.ts`): the pure
normalizer — quaint reads pool from `$metrics`; adapter reads pool from
`pg.Pool` and keeps engine query metrics; `busy` never goes negative;
graceful zeroing when `$metrics` is unavailable (adapter still reports
live pool figures).
Live smoke test against a prod-shaped local stack: three
physically-distinct Postgres DBs (control-plane, run-ops, legacy) behind
dual PgBouncers, split mode on, with a mix of adapter and quaint
clients. Reading the actual emitted OTel metrics, every pool shows up as
its own series:
```
db.pool.connections.total{db_client="control-plane-writer", db_driver="pg-adapter"} = 1
db.pool.connections.total{db_client="control-plane-replica", db_driver="quaint"} = 1
db.pool.connections.total{db_client="run-ops-writer", db_driver="pg-adapter"} = 1
db.pool.connections.total{db_client="run-ops-replica", db_driver="quaint"} = 1
db.pool.connections.total{db_client="legacy-run-ops-writer", db_driver="quaint"} = 1
db.pool.connections.total{db_client="legacy-run-ops-replica",db_driver="quaint"} = 1
db.client.queries.total{db_client="control-plane-writer",db_driver="pg-adapter"} = incrementing
db.client.queries.duration.count{db_client="control-plane-writer",db_driver="pg-adapter"} = incrementing
```
Confirms: metrics are attributed per pool with the correct driver;
adapter pools' figures come from `pg.Pool`; and query counters/duration
histograms keep incrementing under the pg adapter. Also verified
`/metrics` (Prometheus) now returns zero `prisma_*` series while still
serving the app's own metrics.
`pnpm run typecheck --filter webapp` passes.
## Notes
- `/metrics` (Prometheus) no longer includes `prisma_*` series. Anything
scraping that endpoint for Prisma metrics should read the equivalent
`db.*` metrics from the OTel exporter instead.
- **PgBouncer + `?schema=` gotcha (separate from this PR, worth flagging
for rollout):** since #4539 parses `?schema=` from the DSN and passes `{
schema }` to the adapter, node-postgres sends `search_path` as a startup
parameter. A transaction-mode PgBouncer rejects that with `FATAL:
unsupported startup parameter: search_path`. Our prod control-plane DSNs
use the default `public` schema with no `?schema=` param, so this is
latent, but any client we flip to the adapter must not carry `?schema=`
in its DSN (or the pooler needs `ignore_startup_parameters =
search_path`).
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
… stop seq-scanning (#4554)
## Why this change
Deleting a `ProjectAlertChannel` fires the FK cascade `DELETE FROM ONLY
"ProjectAlert" WHERE $1 = "channelId"`. That cascade is scan-shaped:
with no index on `channelId`, it reads the entire `ProjectAlert` table
to find the few child rows belonging to the deleted channel. The parent
`DELETE ProjectAlertChannel` does almost no work itself; its latency is
dominated by this cascade. `ProjectAlert` is append-heavy and grows over
time, so the scan cost only increases.
## Diagnosis
`ProjectAlert` had no index on `channelId` (only `pkey` + a `friendlyId`
unique). The cascade therefore did a full sequential scan of the whole
table. The sibling `ProjectAlertStorage` cascade on the same delete is
index-backed and stays fast, which isolates the missing index as the
cause.
## Change
Add `@@index([channelId])` on `ProjectAlert`, created with `CREATE INDEX
CONCURRENTLY IF NOT EXISTS` so `prisma migrate deploy` stays safe on a
live table.
## Benchmark (local, seeded)
Local Postgres seeded with 1,000,000 `ProjectAlert` rows across 50
channels (~20k rows per channel), `EXPLAIN (ANALYZE, BUFFERS)` on the
cascade delete:
| | before | after |
|---|---|---|
| plan | Seq Scan (1M rows) | Bitmap Index Scan |
| direct child delete | 740 ms | 22 ms |
| parent delete `ProjectAlert_channelId_fkey` trigger | 77.7 ms | 23.8
ms |
## Expected impact
The cascade drops from a full-table sequential scan to a targeted index
lookup. The win grows with the table: the more rows in `ProjectAlert`,
the more a scan costs and the more the index saves, so the benefit is
larger than the seeded numbers above.
## Risks
- One extra btree to maintain on every `ProjectAlert` insert; acceptable
for a single-column index on a high-insert table, and it should be
pre-created before the migration deploys (per the repo index rules).
- No behavior change: no rows orphaned, no ordering or result-set
change, read paths untouched.
## Follow-up
`ProjectAlert`'s other cascade FK columns (`projectId`, `environmentId`,
`workerDeploymentId`) are also unindexed, but their parents are
soft-deleted rather than physically removed, so those cascades do not
currently fire. Lower priority unless a hard-delete path is introduced.
…cret deletes stop seq-scanning (#4555)
## Why this change
`EnvironmentVariableValue.valueReference` is an `onDelete: SetNull`
foreign key. Deleting a `SecretReference` (the env var edit/delete path
for secret values) fires the cascade `UPDATE ONLY
"EnvironmentVariableValue" SET "valueReferenceId" = NULL WHERE $1 =
"valueReferenceId"`. That cascade is scan-shaped: with no index on
`valueReferenceId`, it reads the entire table to find the rows
referencing the deleted secret. The parent `SecretReference` delete does
almost no work itself; its latency is dominated by this cascade.
## Diagnosis
`EnvironmentVariableValue` was indexed on `environmentId` and
`(variableId, environmentId)`, but not on `valueReferenceId`. The SET
NULL cascade therefore did a full sequential scan of the whole table.
Two sibling SET NULL cascades on the same delete
(`OrganizationIntegration.tokenReferenceId`,
`User.mfaSecretReferenceId`) are index-backed and stay fast, which
isolates the missing index as the cause.
## Change
Add `@@index([valueReferenceId])` on `EnvironmentVariableValue`, created
with `CREATE INDEX CONCURRENTLY IF NOT EXISTS` so `prisma migrate
deploy` stays safe on a live table.
## Benchmark (local, seeded)
Local Postgres seeded with 1,000,000 `EnvironmentVariableValue` rows,
`EXPLAIN (ANALYZE, BUFFERS)` on the SET NULL cascade with zero matching
rows (the worst case: reads the whole table, affects nothing):
| | before | after |
|---|---|---|
| plan | Seq Scan (1M rows) | Bitmap Index Scan |
| execution | 183 ms | 2.8 ms |
In a variant where the secret matched several thousand rows, the parent
`SecretReference` delete's
`EnvironmentVariableValue_valueReferenceId_fkey` trigger dropped from
216 ms to 88 ms (the residual is the heap work of nulling those rows).
## Expected impact
The cascade drops from a full-table sequential scan to a targeted index
lookup. The win grows with the table, so the benefit is larger than the
seeded numbers above.
## Risks
- One extra btree to maintain on `EnvironmentVariableValue` writes;
small, single-column, and it should be pre-created before the migration
deploys (per the repo index rules).
- No behavior change: same rows nulled, no ordering or result-set
change, read paths untouched.
Companion to the same fix on `ProjectAlert.channelId`.
Adds [Jakub-Vacek](https://github.com/Jakub-Vacek) to the list of
vouched outside contributors so their PRs aren't auto-closed by the
vouch check.
…ueue (#4560)
## Summary
Adds an opt-in path to serve a run's per-run configuration reads from
the control-plane read replica instead of the primary, reducing primary
database load during task execution. The managed-worker dequeue resolves
each run's environment, organization, and environment variables before
starting the run; those rows are stable for the life of a run, so they
can safely come from the replica.
Gated by `CONTROL_PLANE_DEQUEUE_READS_FROM_REPLICA`, defaulting to `"0"`
(reads from the primary, unchanged from today). Set it to `"1"` to route
the reads to the replica. The env-var read is scoped to the
dequeue/resolution path (`resolveVariablesForEnvironment`); dashboard
env-var reads and writes always stay on the primary. When no read
replica is configured, `$replica` transparently falls back to the
writer, so single-database self-host is unchanged either way.
Verified end-to-end against a real primary/replica split, in both
`trigger dev` and deployed (managed-worker) runs: with the flag on, env
vars inject correctly and a value set immediately before triggering a
deployed run is present on the run.
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@tylerc-govsignals@d-cs@carderne@1stvamp@nicktrn@0ski@matt-aitken@ericallam@samejr@D-K-P@kathiekiwi@isshaddad@myftija