## Summary
The replay side of the mollifier:
- `DrainerHandler`: reads buffered snapshots and replays them through
`engine.trigger` to materialise PG rows.
- `RunEngine.createCancelledRun`: new public method the handler uses to
write CANCELED rows directly from snapshots (bypass queue + waitpoint,
emit `runCancelled`). Tolerates the cjson empty-table tags edge case
found during validation.
- Drainer fairness: org → env rotation so a heavy env doesn't starve
light ones in the same org.
- Stale-entry sweep + telemetry + alertable gauge so a stuck/offline
drainer surfaces in alerts.
Both the drainer and sweep default-off; nothing fires unless flagged on
(`TRIGGER_MOLLIFIER_DRAINER_ENABLED`,
`TRIGGER_MOLLIFIER_STALE_SWEEP_ENABLED`).
Stacked on the trigger-time decisions PR.
## Test plan
- [x] \`pnpm run typecheck --filter webapp\` passes
- [x] \`pnpm run test --filter webapp
test/mollifierDrainerHandler.test.ts\` passes
- [x] \`pnpm run test --filter webapp test/mollifierStaleSweep.test.ts\`
passes
- [x] \`pnpm run test --filter @internal/run-engine
src/engine/tests/createCancelledRun.test.ts\` passes
- [x] \`pnpm run test --filter @trigger.dev/redis-worker
packages/redis-worker/src/mollifier/drainer.test.ts\` passes
---
## Ship-gate follow-up fix
**Drainer writes SYSTEM_FAILURE on max-attempts exhaustion.** Adds an
`onTerminalFailure` callback on `MollifierDrainerOptions` so the
customer's run lands a SYSTEM_FAILURE PG row even when the drainer
exhausts `MAX_ATTEMPTS` on a retryable PG error (previously
`buffer.fail()` was called with no row written → silent data loss). The
callback runs before `buffer.fail()` on every terminal path
(non-retryable AND max-attempts-exhausted), and re-throwing a retryable
error from the callback causes the drainer to requeue rather than fail.
Bumps `@trigger.dev/redis-worker` to a **minor** changeset (additive
option + new exported types). Includes 5 unit tests covering both
terminal causes plus the requeue-on-retryable-callback-failure path and
no-callback back-compat.
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
## Summary
`concurrencyKey` validation accepted only `z.string().optional()` on the
single-trigger and V2/V3 batch endpoints, and the Phase-2 streaming
NDJSON endpoint accepted `z.record(z.unknown()).optional()` for the
entire `options` field. Callers passing `concurrencyKey: someNumericId`
(e.g. `payload.userId`) either failed schema validation on the first two
paths or sailed through on Phase-2 and then failed downstream at
`prisma.taskRun.create` with `Argument concurrencyKey: Expected String
or Null, provided Int`.
The schema now accepts `string | number` for `concurrencyKey` and
stringifies on the way in, across all three paths. The Phase-2 NDJSON
`options` is tightened to reuse the strict
`BatchTriggerTaskItem.options` shape so it validates identically to the
V2/V3 batch endpoints.
A defensive `typeof === "number"` coercion at the `engine.trigger` call
site in `RunEngineTriggerTaskService` covers in-flight Redis-stored
batch items enqueued before the schema fix — those items are rebuilt
from a `Record<string, unknown>` shape that bypasses the new schema and
would otherwise continue failing for up to their TTL.
## Test plan
- [x] `packages/core/src/v3/schemas/batchItemNDJSON.test.ts` — unit
tests covering numeric→string coercion, string passthrough, no-options,
and rejection of non-string/non-number shapes across
`TriggerTaskRequestBody`, `BatchTriggerTaskItem`, and `BatchItemNDJSON`.
- [x] `apps/webapp/test/engine/triggerTask.test.ts` — `containerTest`
simulating the in-flight Redis batch-item shape (numeric
`concurrencyKey` via `Record<string, unknown>`), verifies the run is
created with `concurrencyKey: "51262"`. Without the worker coercion, the
test reproduces the production stack at `prisma.taskRun.create`.
- [x] `pnpm run typecheck --filter webapp` clean.
- [x] `pnpm run build --filter @trigger.dev/core --filter
@trigger.dev/sdk --filter trigger.dev` clean.
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
## Summary
The trigger hot path's mollifier integration:
- `mollifyTrigger`: when the gate trips, write the engine.trigger
snapshot to the buffer and return a synthesised QUEUED response.
Postgres write is deferred to drainer-replay (next PR in the stack).
- Pre-gate idempotency-key claim: same-key triggers serialise through
Redis so a burst lands in PG / buffer exactly once.
- Read-fallback extensions: `findRunByIdWithMollifierFallback` for the
trigger-time idempotency lookup that must see buffered runs.
- Gate bypasses: `debounce`, `oneTimeUseToken`,
`parentTaskRunId`/`triggerAndWait` skip the mollify path entirely.
- `triggerTask` + `IdempotencyKeyConcern` wired to the above.
All behaviour gated by the master `TRIGGER_MOLLIFIER_ENABLED` switch;
off-state hot path is unchanged (the gate is not even consulted).
Stacked on the buffer extensions PR.
## Test plan
- [x] \`pnpm run typecheck --filter webapp\` passes
- [x] \`pnpm run test --filter webapp test/mollifierMollify.test.ts\`
passes
- [x] \`pnpm run test --filter webapp
test/mollifierIdempotencyClaim.test.ts\` passes
- [x] \`pnpm run test --filter webapp
test/mollifierReadFallback.test.ts\` passes
- [x] \`pnpm run test --filter webapp test/mollifierGate.test.ts\`
passes
- [x] \`pnpm run test --filter webapp test/engine/triggerTask.test.ts\`
passes
---
## Ship-gate follow-up fixes
- **Batch items bypass the mollifier gate** — fixes
`BatchTaskRunItem_taskRunId_fkey` FK violation on batch triggers when
the gate trips. End-state is a drainer-side `BatchTaskRunItem`
create-on-materialise; batch traffic passes through the gate until that
lands.
- **IdempotencyKeyConcern honours buffered-run TTL on expiry** —
buffered path now clears expired idempotency claims (read-side) and
resets the buffer's `mollifier:idempotency:*` SETNX binding (write-side)
so a re-trigger past the customer's TTL lands as a fresh run instead of
echoing the stale buffered runId.
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
## Summary
Buffer-side data layer used by the rest of the mollifier phase-3 stack.
- `buffer.ts` gains entry inspection (`getEntry`), idempotency lookup
(`lookupIdempotency`), in-place snapshot mutation (`mutateSnapshot`),
and dwell tracking. All atomic via Lua.
- `mollifierSnapshot.server.ts`: shared `MollifierSnapshot` type plus
(de)serialise helpers.
- Drops the entry-TTL config and its env var. The drainer is the
recovery mechanism; an entry that survives the drainer should surface as
a stale-sweep alert, not silently TTL away.
Adds methods to the buffer interface; nothing consumes them yet.
Subsequent PRs in the stack wire trigger-time mollify, read-fallback,
and mutation paths against this surface.
## Test plan
- [x] \`pnpm run typecheck --filter webapp\` passes
- [x] \`pnpm run test --filter @trigger.dev/redis-worker
packages/redis-worker/src/mollifier/buffer.test.ts\` passes
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Added `OrganizationDataStore` which allows orgs to have data stored in
specific separate services.
For now this is just used for ClickHouse. When using ClickHouse we get a
client for the factory and pass in the org id.
Particular care has to be made with two hot-insert paths:
1. RunReplicationService
2. OTLPExporter
---------
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: Claude <noreply@anthropic.com>
## Summary
- Introduce the Mollifier: a Redis-backed buffer for `trigger()` API
calls during traffic spikes, with a per-env trip evaluator and a drainer
ack-loop.
- Phase 1 is dual-write monitoring — every mollified trigger is buffered
to Redis AND continues to `engine.trigger`. No customer-facing behaviour
change.
- Telemetry events: `mollifier.would_mollify`, `mollifier.buffered`,
`mollifier.drained`, plus the `mollifier.decisions` counter.
- Gated behind a feature flag (default off).
## Test plan
- [x] `pnpm run test --filter @trigger.dev/redis-worker`
- [x] `pnpm run test --filter webapp -- mollifier`
- [x] Manual: with flag off, no behaviour change vs main
- [x] Manual: with flag on + threshold lowered, observe
`mollifier.buffered` + `mollifier.drained` log pairs with matching
`runId`
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
## Summary
The trigger-task hotpath used to early-return without a DB query when a
caller passed both a queue override and a per-trigger TTL — the hottest
configuration on the trigger API. Adding `triggerSource` to the resolver
so the runs-list "Source" filter could distinguish STANDARD / SCHEDULED
/
AGENT runs removed those early-returns, costing +2 DB queries per
trigger
on non-locked calls and +1 on locked calls.
This change caches `BackgroundWorkerTask` metadata (`ttl`,
`triggerSource`,
`queueId`, `queueName`) in Redis so the resolver can satisfy every
caller
configuration with a single `HGET` on the warm path. PG fallback on miss
back-fills the cache.
Follow-up to #3542.
## Design
Two key spaces:
- `task-meta:env:{envId}` — the "current worker" view, refreshed at
every
deploy promotion. 24h safety TTL.
- `task-meta:by-worker:{workerId}` — used for `lockToVersion` triggers.
Immutable post-create. 30d sliding TTL so historical workers age out.
Cache writes use Lua scripts via `defineCommand` so `DEL` + `HSET` +
`EXPIRE` land atomically — concurrent readers never see the empty
intermediate state of a naive pipeline. Read-path back-fill uses
single-field upserts so concurrent back-fills don't wipe each other's
siblings.
The cache lives behind its own `TASK_META_CACHE_REDIS_*` env-var prefix
that falls back to the default `REDIS_*` set, so operators can route the
cache to a dedicated Redis instance if they want.
The service/instance file split (`taskMetadataCache.server.ts` for the
pure class, `taskMetadataCacheInstance.server.ts` for the env-wired
singleton) mirrors the existing `runsReplicationService` /
`runsReplicationInstance` pattern.
## Test plan
- [ ] `pnpm run typecheck --filter webapp`
- [ ] `pnpm run test ./test/engine/triggerTask.test.ts --run` — 8
existing tests untouched + 5 new tests covering warm cache, cold
miss with back-fill, queue + ttl path, by-worker vs env keyspace,
and the promotion cache write
- [ ] End-to-end against a dev worker: registering writes both keyspaces
with the expected TTLs, and `redis-cli HGETALL
"tr:task-meta:env:<envId>"`
returns the cached entries
## Benchmark
Measured `DefaultQueueManager.resolveQueueProperties` against a real
Postgres + Redis (vitest `containerTest`, single-host docker). 500
sequential calls and 2,000 parallel calls (concurrency=50) per scenario,
request shaped as `{ taskId, queue: "bench-queue", ttl: "5m" }` — the
hot path this PR restores.
```
sequential (one in flight at a time):
[noop cache (baseline)] n=500 mean=1.423ms p50=1.394ms p95=1.735ms p99=2.629ms max=11.100ms
[redis cache, cold ] n=500 mean=1.346ms p50=1.283ms p95=1.688ms p99=2.463ms max=5.058ms
[redis cache, warm ] n=500 mean=0.084ms p50=0.078ms p95=0.105ms p99=0.156ms max=1.129ms
speedup (warm vs baseline, sequential): 16.95x
parallel (concurrency=50):
[noop cache (baseline)] n=2000 mean=10.069ms p50=8.850ms p95=14.718ms p99=31.887ms total=405ms ops/s=4,940
[redis cache, warm ] n=2000 mean=0.614ms p50=0.568ms p95=1.189ms p99=1.432ms total=25ms ops/s=80,389
throughput speedup (warm vs baseline, parallel): 16.27x
```
Read:
- **Warm cache cuts resolver latency 17×** at p50 — from ~1.4 ms to ~78
µs per call.
- **Cold cache is on par with baseline** — the extra `HGET` miss adds
<50 µs against the two Postgres queries that follow, so the worst case
is not worse than today.
- **Under burst load (50 concurrent triggers)**, the baseline's p99
jumps to ~32 ms as Postgres connections queue up; warm stays at ~1.4 ms.
The cache moves the saturation point from ~5k ops/s (PG pool) to ~80k
ops/s (single-client Redis pipelining).
Caveats: single-host docker, local Postgres + Redis, resolver-only
measurement (excludes the rest of the trigger transaction). Prod adds
region-local Redis RTT (~0.3–0.8 ms) which shifts warm absolute numbers
up but keeps the ratio intact.
Adds Sessions, a durable, run-aware stream primitive that scopes
session.in / session.out records to a session (not a single run).
Records survive run boundaries; reconnect-from-last-event-id is built in.
Server foundation:
- New /realtime/v1/sessions/:session/:io/append + /records routes
- sessionRunManager + sessionsRepository + clickhouseSessionsRepository
- mintRunToken for short-lived per-session tokens
- s2Append retry-with-backoff + undici cause diagnostics
- /api/v[12]/packets/* exempt from customer rate limits
- BackgroundWorker schema gains taskKind enum (TASK, AGENT, SCHEDULED)
- TaskRun.taskKind column + clickhouse 029_add_task_kind_to_task_runs_v2
Core types:
- new sessionStreams, inputStreams, realtimeStreams packages in @trigger.dev/core
- session-streams-api / realtime-streams-api surface
Sessions dashboard UI (the primitive's own viewer):
- /sessions index + detail routes
- SessionsTable, SessionFilters, SessionStatus, CloseSessionDialog
- AGENT/SCHEDULED filter in RunFilters + TaskTriggerSource
Includes the sessions-primitive changeset.
## Summary
Consolidates the webapp's authentication and authorization into a small
set of route helpers, replacing the ad-hoc `requireUser` /
`requireUserId` / `authenticatedEnvironmentForAuthentication` calls
scattered across routes. Same security model, but the per-request flow
(authenticate → authorize → load) now lives in one place per route
family.
Introduces a plugin seam (`@trigger.dev/plugins`) that lets the cloud
build install a richer RBAC implementation without touching webapp code.
The OSS fallback keeps the pre-RBAC permissive behaviour intact, so
self-hosted deployments work unchanged.
Adds a comprehensive end-to-end auth test suite that didn't exist before
— 193 `it()` blocks (vitest reports ~199 after `it.each` expansion)
covering API key, PAT and JWT auth across the public API surface, plus
dashboard session auth for admin pages.
## Changes
### Plugin contract — `@trigger.dev/plugins`
`RoleBaseAccessController` interface authoritative for both OSS
(fallback) and cloud (enterprise plugin):
- `authenticateBearer(request, { allowJWT? })` — API-key / public-JWT
auth, returns env + ability
- `authenticateSession(request, { userId, organizationId?, projectId?
})` — dashboard auth, caller resolves `userId` from the session cookie
and passes it in (no `helpers.getSessionUserId` callback — decouples the
plugin host from session-cookie code)
- `authenticatePat(request, { organizationId?, projectId? })` — PAT
auth, returns identity + `lastAccessedAt` so the host can throttle the
per-request update
- `authenticateAuthorize*` variants for the auth-and-check-in-one-call
cases
- `isUsingPlugin(): Promise<boolean>` — capability flag for UI /
branching where plugin-present-ness matters; replaces the
sentinel-string coupling that had `personalAccessToken.server` matching
`"RBAC plugin not installed"` literally
### Dashboard auth (started, partial rollout)
Admin and settings pages migrated to a unified `dashboardLoader` /
`dashboardAction` helper that authenticates the session, runs an
authorization check, and exposes the result to the route. Other
dashboard routes still on the old pattern; remaining migration tracked
in TRI-8730.
Migrated routes:
- `admin.*` (14 admin / back-office / feature-flags / LLM-models /
notifications / orgs / concurrency pages)
- `_app.orgs.$organizationSlug.settings.team`
- `_app.orgs.$organizationSlug.settings.roles`
### API / realtime / engine auth (complete for the migrated families)
71 routes migrated to a unified `apiBuilder` that centralizes Bearer /
PAT / Public-JWT authentication and applies the per-route authorization
check before the handler runs. Includes:
- `api.v1.*` and `api.v2.*` and `api.v3.*` — tasks, runs, batches,
queues, prompts, deployments, query, sessions, waitpoints, packets,
workers, idempotency keys
- `realtime.v1.*` — runs, batches, sessions, streams
- `engine.v1.*` — dev / worker-action protocols
29 routes still on the legacy `authenticateApiRequest*` helpers —
tracked as a post-deploy follow-up in TRI-9228.
Multi-resource auth direction is now explicit at the call site via
`anyResource(...)` (OR) and `everyResource(...)` (AND). Bare arrays no
longer typecheck — fixes a class of bug where a JWT scoped to one
resource could implicitly access others under OR semantics.
PAT auth path consolidated: was three DB queries per request (legacy
`authenticateApiRequestWithPersonalAccessToken` findFirst +
`rbac.authenticatePat` join + `lastAccessedAt` update). Now one query in
the steady state — plugin returns `lastAccessedAt`, host smart-skips the
update via JS-side throttle when fresh.
Side effect: action aliases preserved historic JWT scope semantics where
the new model is stricter (e.g. a `write:tasks` JWT now also satisfies
`trigger` / `batchTrigger` / `update` actions on the same resource —
matched at the auth boundary, not in the route handler).
### Backwards-compat fixes
The strict-match model regressed several real-world JWT shapes. Each
preserved via explicit `anyResource(...)` entries in the route's authz
block:
- **Batch retrieve routes** (`api.v1.batches.$batchId`, `api.v2.*`,
`realtime.v1.batches.*`) accept `read:runs` JWTs again (pre-RBAC
literal-match superScope behaviour)
- **Runs list routes** (`api.v1.runs`, `realtime.v1.runs`) accept
type-level `read:tasks` / `read:tags` on unfiltered queries (matched the
legacy `Object.keys` iteration semantic)
- **PAT/OAT auth shape** normalized through `toAuthenticated` so all
auth methods return the same slim `AuthenticatedEnvironment` (was:
API-key returned the slim shape but PAT/OAT returned raw Prisma
`Decimal` / no `orgMember`)
- **Scope `:` preservation** in resource ids — `read:tags:env:staging`
now correctly identifies the tag id as `env:staging`, not `env`
### Slim `AuthenticatedEnvironment`
Extracted to `@trigger.dev/core/v3/auth/environment` — a structural
shape independent of `@trigger.dev/database`. The plugin contract
returns this; webapp consumers import from there; the cloud plugin
(Drizzle) returns the same shape without Prisma's `Decimal` class
leaking into the public surface. Lets internal-packages (run-engine,
etc.) refer to `AuthenticatedEnvironment` without pulling Prisma in.
### Auth test suite (new — `*.e2e.full.test.ts`)
193 e2e tests run against a real spawned webapp + Postgres (no mocks).
Coverage matrix:
- **API key auth** — read / write / trigger / batchTrigger / deploy
actions across runs, batches, deployments, prompts, queues, query,
sessions, input-streams, waitpoints, tasks, idempotency keys; multi-key
resources (a run carries batch / tag / task identifiers — auth must
accept any matching scope)
- **Personal Access Token auth** — comprehensive matrix: scope match,
scope mismatch, missing scope, expired token, malformed token
- **Public JWT auth** — sub-vs-URL environment resolution, expired JWTs,
signature verification, scope checking, otu (one-time-use) token
semantics, branch-environment signing-key fallback
- **Dashboard session auth** — admin-only pages reject non-admins;
per-action gating
- **Cross-cutting edge cases** — revoked API key grace window, JWT
cross-environment isolation, MissingResource branch behaviour
### Hygiene cleanups
- Deleted dead `app/services/authorization.server.ts` (legacy
`checkAuthorization` + types — no live consumers post-migration) and its
orphaned test
- Dropped the never-populated `scopes` field from
`ApiAuthenticationResultSuccess`
- `scheduleEmail` moved out of `email.server.ts` into its own module —
breaks a `commonWorker → marqs/V1` import chain that was poisoning the
auth test graph
- OSS Roles page shows a deployment-aware empty state ("Roles aren't
available in this self-hosted deployment" vs the plan-upsell copy) via
`rbac.isUsingPlugin()`
- Team action handler: explicit per-intent ability gates
(`manage:billing` for purchase-seats, `manage:members` for set-role +
remove-member with self-leave carve-out)
### Cross-repo coordination
All public-package contract changes paired in `triggerdotdev/cloud#763`
(rbac-packages branch) — the enterprise plugin implements the same
`RoleBaseAccessController` interface against Drizzle.
## Test plan
- [x] `pnpm run typecheck --filter webapp` clean
- [x] `pnpm --filter webapp exec vitest run --config
vitest.e2e.full.config.ts` — 193/193 pass (requires Docker for
testcontainers)
- [x] Spot-check an authed API endpoint with a valid + invalid API key
against a local stack
- [x] Spot-check the migrated admin pages render and gate non-admins
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
## Summary
Move from a single shared S2 basin to **per-org basins** with retention
tied to the org's billing plan. Stops S2 from deleting streams out from
under live chat sessions when basin retention fires before the chat
ends, and unlocks per-org cost attribution.
OSS / s2-lite installs are unaffected: provisioning is gated by
`REALTIME_STREAMS_PER_ORG_BASINS_ENABLED` (default `false`), and the
read precedence falls back to the global basin env var when an entity
has no stamped basin.
```
basin = run.streamBasinName ?? session.streamBasinName ?? env.REALTIME_STREAMS_S2_BASIN
```
## Design
Three nullable `streamBasinName` columns (`Organization`, `TaskRun`,
`Session`) plus a provisioner that idempotently creates the basin and
reconfigures retention on plan changes. The trigger and session-create
paths stamp the org's basin onto new rows; the realtime read path picks
the basin from the entity context.
Admin routes back-fill existing orgs and force-reconfigure a single org.
## Test plan
- [x] `pnpm run typecheck --filter webapp --filter @internal/run-engine`
- [x] Backfill admin route end-to-end (provision + DB stamp + S2 basin
config).
- [x] Reconfigure on plan change (all retention tiers).
- [x] chat.agent multi-turn drives streams into the per-org basin.
- [x] Legacy fallback when entity has no stamped basin.
- [x] Provisioner is a no-op when the flag is off.
## Summary
Several boundary catches and customer-input validation paths were
logging at `error` level for failures the system already handles
gracefully — disconnect on auth failure, return undefined, skip retries,
etc. This batch routes them to `warn` (which stays in stdout) or counts
them as OTel metrics, so visibility is preserved without surfacing them
as alerts.
## Changes
**New helper / pattern:**
- `apiBuilder.server.ts` — `logBoundaryError(message, error, url)`
inspects the inner error type at loader/action boundary catches;
downgrades to `warn` for `AbortError`, `ServiceValidationError`, and
`EngineServiceValidationError`.
- `platform.v3.server.ts` — `platform_client.failures_total` OTel
counter with `{function, kind}` labels; helper
`recordPlatformFailure(fn, kind)` replaces the previous error-level
logging across all `BillingClient` wrappers.
**Log-level downgrades:**
- `handleSocketIo.server.ts` — `Worker authentication failed` → warn
(system disconnects on failure; refs TRI-8863)
- `waitpointSystem.ts` — when `runStatus === "CANCELED"` in the
suspended-without-checkpoint branch, skip the throw and warn instead
(benign cancel-vs-resume race, nothing to resume)
- `runAttemptSystem.ts` — `flushedMetadata` parse/validate failures →
warn (customer-side data shape, system returns gracefully)
- `batch-queue/index.ts` — final-attempt failures with
`result.skipRetries` → warn (callbacks already opted out of retry, e.g.
queue size limit hit)
- `queryPerformanceMonitor.server.ts` — slow queries → warn
(observability signal, not an application error)
- `timeoutDeployment.server.ts` — deployment-state mismatch in the
timeout job → warn (timeout-vs-completion race)
**Inner error preservation:**
- `waitpointCompletionPacket.server.ts` — `logger.error(uploadError)`
before throwing the `ServiceValidationError` wrapper, so the underlying
upload error stays visible.
## Why
The pattern across all of these is the same: a boundary log treated any
thrown/returned error as `error` regardless of cause, even when the
cause was an expected, system-handled condition (client disconnect,
customer quota, race condition, schema validation of customer data).
That made the logs noisy and made it harder to spot real bugs.
Where the underlying signal is still useful operationally (slow queries,
billing call failures), we route it to OTel metrics with low-cardinality
labels so dashboards and alerts can be tuned independently of error
logs.
## Test plan
- [ ] `pnpm run typecheck --filter webapp`
- [ ] `pnpm run build --filter @internal/run-engine`
- [ ] Trigger a run on hello-world and verify task lifecycle is
unaffected
- [ ] Cancel a suspended run and verify the cancel-while-suspended
branch in `waitpointSystem.ts` returns `{status: "skipped"}` instead of
throwing
- [ ] Confirm `platform_client.failures_total` counter shows up in
metrics with `{function, kind}` labels when the billing client errors
## Problem
When `batchTrigger()` is called with large payloads, each item's payload
is uploaded to R2 server-side during the streaming loop before being
enqueued. This makes the loop slow — around 3 seconds per item. Workers
pick up and execute each item as it's enqueued, running concurrently
with the ongoing stream.
For the last item in the batch, a race exists between the streaming loop
finishing and the batch completion cleanup:
1. The loop enqueues the last item and returns from `enqueueBatchItem()`
2. A waiting worker picks up the item almost instantly and executes it
3. `recordSuccess()` fires, `processedCount` hits the expected total,
`finalizeBatch()` runs
4. `cleanup()` deletes all Redis keys for the batch, including
`enqueuedItemsKey`
5. The streaming loop exits and calls `getBatchEnqueuedCount()` — reads
the now-deleted key — returns 0
The count check finds `enqueuedCount (0) !== batch.runCount`, falls
through to a Postgres fallback, but the fallback only checked `sealed`.
The BatchQueue completion path sets `status = COMPLETED` in Postgres
without setting `sealed = true` (that's the streaming endpoint's job),
so the fallback misses it too.
This causes the endpoint to return `sealed: false`. The SDK treats this
as retryable and retries up to 5 times with exponential backoff. Each
retry calls `enqueueBatchItem()`, which reads the batch meta key from
Redis — also deleted by `cleanup()` — and throws "Batch not found or not
initialized" (500). The final retry gets a 422 because the batch is
already COMPLETED, which the SDK does not retry, causing an `ApiError`
to be thrown from `await batchTrigger()` in the parent run — even though
all child runs completed successfully.
## Fix
In the Postgres fallback inside `StreamBatchItemsService`, also check
`status === "COMPLETED"` alongside `sealed`. This covers the
fast-completion path where the BatchQueue finishes all runs before the
streaming endpoint gets to seal the batch normally.
Also switches `findUnique` to `findFirst` per webapp convention.
---------
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Replace the expensive DISTINCT query for task filter dropdowns with a
dedicated TaskIdentifier registry table backed by Redis. Environments
migrate automatically on their next deploy, with a transparent fallback
to the legacy query for unmigrated environments. Also fixes duplicate
dropdown entries when a task changes trigger source, and adds
active/archived grouping for removed tasks. Moves BackgroundWorkerTask
reads in the trigger hot path to the read replica.
The TaskRun.runTags string array already stores tag names, making the
TaskRunTag M2M relation redundant write overhead. Remove createTags
calls, connect: tags, and join table writes from both V1 and V2 trigger
paths. Simplify the add-tags API to just push to runTags directly.
A single "fetch failed" from the object store was aborting the entire
batch stream with no retry. Added p-retry (3 attempts, 500ms-2s backoff)
around ploadPacketToObjectStore so transient network errors self-heal
server-side instead of propagating to the SDK.
This allows seamless migration to different object storage.
Existing runs that have offloaded payloads/outputs will continue to use
the default object store (configured using `OBJECT_STORE_*` env vars).
You can add additional stores by setting new env vars:
- `OBJECT_STORE_DEFAULT_PROTOCOL` this determines where new run large
payloads will get stored.
- If you set that you need to set new env vars for that protocol.
Example:
```
OBJECT_STORE_DEFAULT_PROTOCOL=“s3"
OBJECT_STORE_S3_BASE_URL=https://s3.us-east-1.amazonaws.com
OBJECT_STORE_S3_ACCESS_KEY_ID=<val>
OBJECT_STORE_S3_SECRET_ACCESS_KEY=<val>
OBJECT_STORE_S3_REGION=us-east-1
OBJECT_STORE_S3_SERVICE=s3
```
---------
Co-authored-by: nicktrn <55853254+nicktrn@users.noreply.github.com>
## Summary
Currently, every triggered run follows a two-step path through Redis:
1. **Enqueue** — A Lua script atomically adds the message to a queue
sorted set (ordered by priority-adjusted timestamp)
2. **Dequeue** — A debounced `processQueueForWorkerQueue` job fires
~500ms later, checks concurrency limits, removes the message from the
sorted set, and pushes it to a worker queue (Redis list) where workers
pick it up via `BLPOP`
This means every run pays at least ~500ms of latency between being
triggered and being available for a worker to execute, even when the
queue is empty and concurrency is wide open.
### What changed
The enqueue Lua scripts now atomically decide whether to **skip the
queue sorted set entirely** and push directly to the worker queue. This
happens inside the same Lua script that handles normal enqueue, so the
decision is atomic with respect to concurrency bookkeeping.
A run takes the **fast path** when all of these are true:
- **Fast path is enabled** for this worker queue (gated per
`WorkerInstanceGroup`)
- **No available messages** in the queue (`ZRANGEBYSCORE` finds nothing
with score ≤ now) — this respects priority ordering and allows fast path
even when the queue has future-scored messages (e.g. nacked retries with
delay)
- **Environment concurrency** has capacity
- **Queue concurrency** has capacity (including per-concurrency-key
limits for CK queues)
When the fast path is taken:
- The message is stored and pushed directly to the worker queue
(`RPUSH`)
- Concurrency slots are claimed (`SADD` to the same sets used by the
normal dequeue path)
- The `processQueueForWorkerQueue` job is **not scheduled** (no work to
do)
- TTL sorted set is skipped (the `expireRun` worker job handles TTL
independently)
When any condition fails, the existing slow path runs unchanged.
### Rollout gating
- **Development environments**: Fast path is always enabled
- **Production environments**: Gated by a new `enableFastPath` boolean
on `WorkerInstanceGroup` (defaults to `false`), allowing
region-by-region rollout
### Rolling deploy safety
Each process registers its own Lua scripts via `defineCommand`
(identified by SHA hash). Old and new processes never share scripts. The
Redis data structures are fully compatible in both directions — ack,
nack, and release operations work identically regardless of which path a
message took.
## Test plan
- [x] Fast path taken when queue is empty and concurrency available
- [x] Slow path when `enableFastPath` is false
- [x] Slow path when queue has available messages (respects priority
ordering)
- [x] Fast path when queue only has future-scored messages
- [x] Slow path when env concurrency is full
- [x] Fast-path message can be acknowledged correctly
- [x] Fast-path message can be nacked and re-enqueued to the queue
sorted set
- [x] Run all existing run-queue tests (ack, nack, CK, concurrency
sweeper, dequeue) to verify no regressions
- [x] Typecheck passes for run-engine and webapp
Add TTL (time-to-live) defaults at task-level and config-level, with
precedence: per-trigger > task > config > dev default (10m).
Docs PR: #3200 (merge after packages are released)
Queue limit ServiceValidationErrors were being logged at error level.
These are
expected validation rejections, not bugs.
- Add logLevel property to ServiceValidationError (webapp + run-engine)
- Set logLevel: warn on all queue limit throws
- Schedule engine: detect queue limit failures and log as warn
- Redis-worker: respect logLevel on thrown errors
Adds an `annotations` JSONB column to task runs that captures where and
how each run was triggered.
This enables filtering and analyzing trigger origins without querying up
the run tree. Also enables making scheduling decisions based on the
trigger source, e.g., use separate affinities for scheduled runs.
Each run records:
- **triggerSource**: who initiated it (sdk, api, dashboard, cli, mcp,
schedule)
- **triggerAction**: what kind of action (trigger, replay, test)
- **rootTriggerSource**: the trigger source of the root ancestor,
propagated through the entire run
tree
- **rootScheduleId**: schedule id, in case the run tree was triggered
from a schedule
Currently the main motivation for annotations it to determine whether a
run is part of a schedule-originated tree without traversing ancestors.
### A couple of design considerations
- **Decoupled source from method**: triggerSource and triggerAction are
separate fields to avoid
combinatorial explosion (every new source × every new action)
- **Server-side first**: all annotation values are primarily determined
on the server, only a minor SDK change needed
- **Forward-compatible**: annotation fields use
`z.enum([...]).or(anyString)` so new values can be
added without breaking validation; we currently don't need an explicit
version field for annotations.
Note: `metadata` would have been a more fitting name for the db column,
as it is consistent with other tables where we store this type of
information. It is already in use to store user metadata though, so we
go with `annotations` instead.
Gracefully handle oversized batch items instead of aborting the stream.
When an NDJSON batch item exceeds the maximum size, the parser now emits
an error marker instead of throwing, allowing the batch to seal
normally. The oversized item becomes a pre-failed run with
`PAYLOAD_TOO_LARGE` error code, while other items in the batch process
successfully. This prevents `batchTriggerAndWait` from seeing connection
errors and retrying with exponential backoff.
Also fixes the NDJSON parser not consuming the remainder of an oversized
line split across multiple chunks, which caused "Invalid JSON" errors on
subsequent lines.
This PR implements a new run TTL system and queue size limits to prevent
unbounded queue growth which should help prevent situations where queues
enter a "death spiral" where the queue will never be able to catch up.
The main/correct way to battle this situation is to enforce a maximum
TTL on all runs (e.g. up to 14 days) where runs that have been queued
for that maximum TTL will get auto-expired, making room for newer runs
to execute. This required creating a new TTL system that can handle
higher workloads and is now deeply integrated into the RunQueue. When
runs are enqueued with a TTL, they are added to their normal queue as
well as to the TTL queue. When runs are dequeued, they are removed from
both their normal queue and the TTL queue. If runs are dequeued by the
TTL system, they are removed from their normal queue. Both these
dequeues happen automatically so there is no race condition.
The TTL expiration system is also made reliable by expiring runs via a
Redis worker, which is enqueued to atomically inside the TTL dequeue lua
script.
### Optional associated waitpoints
Additionally, this PR implements an optimization where runs that aren't
triggered with a dependent parent run will no longer create an
associated waitpoint. Associated waitpoints are then lazily created if a
dependent run wants to wait for the child run post-facto (via debounce
or idempotency), which is a rare situation but is possible. This means
fewer waitpoint creations but also fewer waitpoint completions for runs
with no dependencies.
### Environment Queue Limits
Prevents any single queue growing too large by enforcing queue size
limits at trigger time.
- Queue size checks happen at trigger time - runs are rejected if queue
would exceed limit
- Dashboard UI shows queue limits on both the Queues page and a new
Limits page
- In-memory caching for queue size checks to reduce Redis load
### Batch trigger fixes
Currently when a batch item cannot be created for whatever reason (e.g.
queue limits) the run will never get created, which means a stalled run
if using `batchTriggerAndWait`. We've updated the system to handle this
differently: now when a batch item cannot be triggered and converted
into a run, we will eventually (after retrying 8 times up to 30s) we
will create a "pre-failed" run with the error details, correctly
resolving the batchTriggerAndWait.
## Summary
- Store the original user-provided idempotency key and scope alongside
the hash
- Expose `ctx.run.idempotencyKey` as the user-provided key (not the
hash)
- Add `ctx.run.idempotencyKeyScope` to show the scope ("run", "attempt",
or "global")
<img width="539" height="450" alt="CleanShot 2026-01-19 at 11 40 46"
src="https://github.com/user-attachments/assets/b6f42991-697e-4314-a164-aef77b8fd25c"
/>
## Problem
Idempotency keys were hashed (SHA-256) before storage, making debugging
difficult since users couldn't see the value they originally set or
search for runs by idempotency key.
## Solution
Attach metadata to the `String` object returned by
`idempotencyKeys.create()` using a Symbol, extract it in the SDK before
the API call, and store it in the database alongside the hash.
```typescript
const key = await idempotencyKeys.create("my-key", { scope: "global" });
await childTask.triggerAndWait(payload, { idempotencyKey: key });
// In child task:
ctx.run.idempotencyKey // "my-key" (previously showed the hash)
ctx.run.idempotencyKeyScope // "global"
```
Test plan
- Trigger task with idempotencyKeys.create() using different scopes (run, attempt, global)
- Verify ctx.run.idempotencyKey returns user-provided key
- Verify ctx.run.idempotencyKeyScope returns correct scope
- Verify PostgreSQL stores idempotencyKeyOptions JSON
- Verify ClickHouse receives idempotency_key_user and idempotency_key_scope via replication
---------
Co-authored-by: James Ritchie <james@trigger.dev>
Adds support for **debounced task runs** - when triggering a task with a
debounce key, subsequent triggers with the same key will reschedule the
existing delayed run instead of creating new runs. This continues until
no new triggers occur within the delay window.
## Usage
```typescript
await myTask.trigger({ userId: "123" }, {
debounce: {
key: "user-123-update",
delay: "5s",
mode: "leading", // default
}
});
```
- **key**: Scoped to the task identifier
- **delay**: How long to wait before executing (supports duration
strings like `"5s"`, `"1m"`)
- **mode**: Either `"leading"` or `"trailing"`. Leading debounce will
use the payload and options from the first run created with the debounce
key. Trailing will use payload and options from the last run.
### "trailing" mode overrides
When using `mode: "trailing"` with debounce, the following options are
updated from the **last** trigger:
- **`payload`** - The task input data
- **`metadata`** - Run metadata
- **`tags`** - Run tags (replaces existing tags)
- **`maxAttempts`** - Maximum retry attempts
- **`maxDuration`** - Maximum compute time
- **`machine`** - Machine preset (cpu/memory)
## Behavior
- **First run wins**: The first trigger creates the run, subsequent
triggers push its execution time later
- **Idempotency keys take precedence**: If both are specified,
idempotency is checked first
- **Max duration**: Configurable via `DEBOUNCE_MAX_DURATION_MS` env var
(default: 10 minutes)
Works with `triggerAndWait` - parent runs correctly block on the
debounced run.
New batch trigger system with larger payloads, streaming ingestion,
larger batch sizes, and a fair processing system.
This PR introduces a new `FairQueue` abstraction inspired by our own
`RunQueue` that enables multi-tenant fair queueing with concurrency
limits. The new `BatchQueue` is built on top of the `FairQueue`, and
handles processing Batch triggers in a fair manner with per-environment
concurrency limits defined per-org. Additionally, there is a global
concurrency limit to prevent the BatchQueue system from creating too
many runs too quickly, which can cause downstream issues.
For this new BatchQueue system we have a completely new batch trigger
creation and ingestion system. Previously this was a single endpoint
with a single JSON body that defined details about the batch as well as
all the items in the batch.
We're introducing a two-phase batch trigger ingestion system. In the
first phase, the BatchTaskRun record is created (and possibly rate
limited). The second phase is another endpoint that accepts an NDJSON
body with each line being a single item/run with payload and options.
At ingestion time all items are added to a queue, in order, and then
processed by the BatchQueue system.
## New batch trigger rate limits
This PR implements a new batch trigger specific rate limit, configured
on the `Organization.batchRateLimitConfig` column, and defaults using
these environment variables:
- `BATCH_RATE_LIMIT_REFILL_RATE` defaults to 10
- `BATCH_RATE_LIMIT_REFILL_INTERVAL` the duration interval, defaults to
`"10s"`
- `BATCH_RATE_LIMIT_MAX` defaults to 1200
This rate limiter is scoped to the environment ID and controls how many
runs can be submitted via batch triggers per interval. The SDK handles
the retrying side.
## Batch queue concurrency limits
The new column `Organization.batchQueueConcurrencyConfig` now defines an
org specific `processingConcurrency` value, with a backup of the env var
`BATCH_CONCURRENCY_LIMIT_DEFAULT` which defaults to 10. This controls
how many batch queue items are processed concurrently per environment.
There is also a global rate limit for the batch queue set via the
`BATCH_QUEUE_GLOBAL_RATE_LIMIT` which defaults to being disabled. If
set, the entire batch queue system won't process more than
`BATCH_QUEUE_GLOBAL_RATE_LIMIT` items per second. This allows
controlling the maximum number of runs created per second via batch
triggers.
## Batch trigger settings
- `STREAMING_BATCH_MAX_ITEMS` controls the maximum number of items in a
single batch
- `STREAMING_BATCH_ITEM_MAXIMUM_SIZE` controls the maximum size of each
item in a batch
- `BATCH_CONCURRENCY_DEFAULT_CONCURRENCY` controls the default
environment concurrency
- `BATCH_QUEUE_DRR_QUANTUM` how many credits each environment gets each
round for the DRR scheduler
- `BATCH_QUEUE_MAX_DEFICIT` the maximum deficit for the DRR scheduler
- `BATCH_QUEUE_CONSUMER_COUNT` how many queue consumers to run
- `BATCH_QUEUE_CONSUMER_INTERVAL_MS` how frequently they poll for items
in the queue
### Configuration Recommendations by Use Case
**High-throughput priority (fairness acceptable at 0.98+):**
```env
BATCH_QUEUE_DRR_QUANTUM=25
BATCH_QUEUE_MAX_DEFICIT=100
BATCH_QUEUE_CONSUMER_COUNT=10
BATCH_QUEUE_CONSUMER_INTERVAL_MS=50
BATCH_CONCURRENCY_DEFAULT_CONCURRENCY=25
```
**Strict fairness priority (throughput can be lower):**
```env
BATCH_QUEUE_DRR_QUANTUM=5
BATCH_QUEUE_MAX_DEFICIT=25
BATCH_QUEUE_CONSUMER_COUNT=3
BATCH_QUEUE_CONSUMER_INTERVAL_MS=100
BATCH_CONCURRENCY_DEFAULT_CONCURRENCY=5
```
* Cancel run events which then propogate cancellation status to span ancestors
* WIP
* convert closing cached run spans to new system
* converted expired complete span event to new method
* move v3 over to new methods
* Convert getDetailedTraceSummary to use the new ancestor override stuff
* remove debug logs
* Don't return UNSPECIFIED task events in getRunEvents
* fix the call site for cancelling run event in v3
* Add changeset
* remove methods
* fix: external traces now respect parent sampling, and prevent broken traces when there is no external trace context
* Add changeset
* improve trace flag handling and better internal host checking
* the traceFlags are now being properly passed through as a number
* add tier scheduling support to supervisor
* add billing info to dequeued message w/o cache
* add cache with best effort invalidation
* fix invalidate circular dep
* add changeset
* use new plan type on runs as fallback during dequeue
* tidy up
* be more explicit with plan type fallback
* remove additional billing check from hot path
* switch to placement tags
* update changeset
* update platform package
* start using new entitlement response
* ensure skipChecks optimization validates at batch level
* add optional items to add to queue manager limits
* make the bool env helper only accept boolean defaults
* remove redundant private field
* update placement tag helper to prevent unsupported tags
* Map new allowedMasterQueues → allowedWorkerQueues
* ClickHouse worker_queue on task runs
* Added the Region to the run inspector
* Pass a region in when triggering
* Added a changeset
* Added triggering regions docs
* Added region to the ctx
* Fix for backfiller masterQueue/workerQueue
* WIP
* Make release concurrency system extremely simple, everything just releases all the time
* update the deadlock detection to use the new lockedQueueReleaseConcurrencyOnWaitpoint column
* WIP new release concurrency system
* Remove releaseConcurrency and releaseConcurrencyOnWaitpoint
Also removed deadlock detection, and added environment burst concurrency
* Added new DEQUEUED status
Cleaned up the API run statuses, including now detecting new clients and not breaking older clients by adding an API version header to all requests
* Introduce the new "current dequeued concurrency set"
* Remove QUEUED_EXECUTING because we no longer "eagerly" release before checkpointing
* Remove waitpoint test for QUEUED_EXECUTING
* Add isWaiting
* Add changeset
* Use createdAt for ordering realtime runs instead of number
* Clarify the envCurrentDequeuedKey usage
* mock the db.server file to fix the tests
* Updated changset "EXECUTED" -> "EXECUTING"
---------
Co-authored-by: Matt Aitken <matt@mattaitken.com>
* Add ID of the replayedFrom run to the TaskRun schema
* Propagate the replayedFrom run ID in the replay flow
* Link the replayed run in the run details pane
* useSearchParams has
* useSearchParams has
* useSearchParams has
* Consistent way to get the run filters
* Consistent way to get the run filters
* Consistent way to get the run filters
* Initial work on the new bulk actions
* Initial work on the new bulk actions
* Initial work on the new bulk actions
* WIP actions and filtering
* WIP actions and filtering
* WIP actions and filtering
* Empty filter arrays are set to undefined
* Empty filter arrays are set to undefined
* Empty filter arrays are set to undefined
* WIP prisma schema
Removed extra runtimeEnvironmentId
* WIP prisma schema
Removed extra runtimeEnvironmentId
* WIP prisma schema
Removed extra runtimeEnvironmentId
* Migrations
* Migrations
* Migrations
* BulkActionGroup changed some columns around
* BulkActionGroup changed some columns around
* BulkActionGroup changed some columns around
* New badge variant, removed unused ones
* New badge variant, removed unused ones
* New badge variant, removed unused ones
* Bulk action button
* Bulk action button
* Bulk action button
* Make the next runs page the default now
* Make the next runs page the default now
* Make the next runs page the default now
* Improved the RadioButton style
* Improved the RadioButton style
* Improved the RadioButton style
* Remove the old bulk action bar
* Remove the old bulk action bar
* Remove the old bulk action bar
* More UI progress
* More UI progress
* More UI progress
* Lots of UI changes to the Runs page
* Lots of UI changes to the Runs page
* Lots of UI changes to the Runs page
* Fixed period filter resetting everything
* Fixed period filter resetting everything
* Fixed period filter resetting everything
* Improved the Switch secondary style
* Improved the Switch secondary style
* Improved the Switch secondary style
* Buggy filter fixes
* Buggy filter fixes
* Buggy filter fixes
* Improved the filter display and fixed a bug with search param from object
* Improved the filter display and fixed a bug with search param from object
* Improved the filter display and fixed a bug with search param from object
* Clear button is minimal
* Clear button is minimal
* Clear button is minimal
* Using a presenter now
* Using a presenter now
* Using a presenter now
* Bulk actions are created, but not actually processed (yet)
* Bulk actions are created, but not actually processed (yet)
* Bulk actions are created, but not actually processed (yet)
* Bulk replay/cancel is working
* Bulk replay/cancel is working
* Bulk replay/cancel is working
* Multiple fixes, added bulk column to PG
* Multiple fixes, added bulk column to PG
* Multiple fixes, added bulk column to PG
* Bulk action run filtering working using CH
* Bulk action run filtering working using CH
* Bulk action run filtering working using CH
* Replay setting the bulk id on the runs
* Replay setting the bulk id on the runs
* Replay setting the bulk id on the runs
* Properly cap the time when doing a bulk action
* Properly cap the time when doing a bulk action
* Properly cap the time when doing a bulk action
* If the bulk action isn't recent, add it to the dropdown anyway
* If the bulk action isn't recent, add it to the dropdown anyway
* If the bulk action isn't recent, add it to the dropdown anyway
* Blank version of the bulk actions page
* Blank version of the bulk actions page
* Blank version of the bulk actions page
* Individually selected runs working
* Individually selected runs working
* Individually selected runs working
* Use selected mode if runs are checked
* Use selected mode if runs are checked
* Use selected mode if runs are checked
* Added the modal
* Added the modal
* Added the modal
* Marked the old bulk actions stuff as deprecated
* Marked the old bulk actions stuff as deprecated
* Marked the old bulk actions stuff as deprecated
* Renamed bulk action file
* Renamed bulk action file
* Renamed bulk action file
* Bulk run filter with the name and a default
* Bulk run filter with the name and a default
* Bulk run filter with the name and a default
* WIP on bulk actions page
* WIP on bulk actions page
* WIP on bulk actions page
* Updated panel, added new truncated id component
* Updated panel, added new truncated id component
* Updated panel, added new truncated id component
* Style improvements to the radio buttons
* Style improvements to the radio buttons
* Style improvements to the radio buttons
* Added an option action completion email
* Added an option action completion email
* Added an option action completion email
* Adds a blank state for the bulk actions page
* Adds a blank state for the bulk actions page
* Adds a blank state for the bulk actions page
* Nicer completed email
* Nicer completed email
* Nicer completed email
* Don't open the bulk action panel if there are no runs
* Don't open the bulk action panel if there are no runs
* Don't open the bulk action panel if there are no runs
* Runs blank state and bulk action accordion
* Runs blank state and bulk action accordion
* Runs blank state and bulk action accordion
* Updates secondary/small switch style
* Updates secondary/small switch style
* Updates secondary/small switch style
* Pagination buttons no longer split in twain (WIP)
* Pagination buttons no longer split in twain (WIP)
* Pagination buttons no longer split in twain (WIP)
* Aborting working
* Aborting working
* Aborting working
* Bulk action live reloading
* Bulk action live reloading
* Bulk action live reloading
* ListPagination works correctly in all states
* ListPagination works correctly in all states
* ListPagination works correctly in all states
* Run page, show friendlyId instead of number
* Run page, show friendlyId instead of number
* Run page, show friendlyId instead of number
* Bulk action help open by default if you have none
* Bulk action help open by default if you have none
* Bulk action help open by default if you have none
* Extra status filtering step because of replication delay
* Extra status filtering step because of replication delay
* Extra status filtering step because of replication delay
* Wider bulk action onboarding
* Wider bulk action onboarding
* Wider bulk action onboarding
* More sensible widths on the bulk action side panel
* More sensible widths on the bulk action side panel
* More sensible widths on the bulk action side panel
* Border color tweak to the RadioButton
* Border color tweak to the RadioButton
* Border color tweak to the RadioButton
* Improved the accordion component hover states
* Improved the accordion component hover states
* Improved the accordion component hover states
* Updates the bulk action blank state images to the latest UI
* Updates the bulk action blank state images to the latest UI
* Updates the bulk action blank state images to the latest UI
* Added R and C shortcuts back in
* Added R and C shortcuts back in
* Added R and C shortcuts back in
* Fix for selecting a single run
* Fix for selecting a single run
* Fix for selecting a single run
* Improved exit icon, added shortcut to modal
* Improved exit icon, added shortcut to modal
* Improved exit icon, added shortcut to modal
* Tidy imports
* Tidy imports
* Tidy imports
* Tidy imports
* Tidy imports
* Tidy imports
* Tidy imports
* Tidy imports
* Tidy imports
* Tidy imports
* Fix for grid layout when 1 page of bulk actions visible
* Fix for grid layout when 1 page of bulk actions visible
* Fix for grid layout when 1 page of bulk actions visible
* Removed the ... on the abort button
* Removed the ... on the abort button
* Removed the ... on the abort button
* Removed the ... on the abort button
* Animate the progress bar
* Set TZ="UTC" in the env example
* Filter summary in the bulk inspector
* Improves the pagination styling
* Improves the pagination styling
* Delete old bulk action routes
* Removed old Postgres RunListPresenter
* Retry any replication error where the message contains "timeout"
* Increase wait to make test less flaky
* The test was using run id instead of friendly id
* Safer array access
* Remove error log if there's a bad status
* Nicer frontend type safety with the bulk action and mode
* Switched a log to a debug log
* Retry replication unless the error is a known non-retry error
Flip the strategy to retry by default
* Make ClickHouse required
* Backfill run replication admin API endpoint
* Set a CLICKHOUSE_URL for unit tests
---------
Co-authored-by: James Ritchie <james@trigger.dev>
* Introduce request idempotency to prevent duplicate triggers
* Implement request idempotency on trigger
* Use x-trigger-request-idempotency-key header instead
Plus cleanup shared logic in the routes
* Add changeset
* Oops, lets not hardcode a 408
* A couple of improvements
* Fix incorrect logs on new schedule engine triggered taskss
Also added the ability to recover schedules in the schedule engine via an Admin API endpoint in the new schedule engine
* Fixed schedule recovery failing test
Daniel Sutton