webapp-dashboard-agent-api
117 Commits
| Author | SHA1 | Message | Date | |
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cd252801eb |
feat: dashboard agent - package upgrades (#3793)
1. in webapp folder update ai-sdk to 6.x.x 2. update vitest to 4.xx |
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e21b68cc5f |
feat(webapp): dashboard parity for mollifier-buffered runs (#3757)
## Summary Dashboard surfaces handle buffered runs by falling back to the mollifier snapshot: - Run detail, span detail, streams view (`_app.../runs.\$runParam`, `resources.../spans.\$spanParam`, `resources.../streams.\$streamKey`). - Redirect routes (`@.runs.\$runParam`, `runs.\$runParam`, `projects.v3.\$projectRef.runs.\$runParam`). - Action routes — cancel / replay / idempotency-reset / debug — under `resources.taskruns/...` and `resources.../idempotencyKey.reset`. - Logs download. - Realtime subscription route + per-run resource (`realtime.v1.runs.\$runId`, `resources.../realtime.v1.*`). - `CancelRunDialog` gains an `onCancelSubmitted` callback so submit isn't raced by the Radix `DialogClose` wrapper. Stacked on the mutations PR. ## Test plan - [x] \`pnpm run typecheck --filter webapp\` passes - [x] \`pnpm run test --filter webapp test/mollifierRealtimeRunResource.test.ts\` passes - [x] \`pnpm run test --filter webapp test/mollifierRealtimeRunResourceBuffer.test.ts\` passes - [x] \`pnpm run test --filter webapp test/mollifierRealtimeSubscription.test.ts\` passes - [x] Manual smoke: trigger a buffered run, open it in the dashboard, replay/cancel from the UI --- ## Ship-gate follow-up fixes - **Auto-redirect to root span on direct nav** — loader sets `?span=` from root span (PG) or buffered snapshot spanId before 302'ing, so bookmark/share-link/direct-nav doesn't leave the panel collapsed. - **RunPresenter switches from `findFirstOrThrow` to `findFirst` + typed `RunNotInPgError`** — kills the per-poll `PrismaClient error` log spam for buffered runs without changing the route-loader's fallback flow. - **Span detail panel renders for buffered runs** — `SpanPresenter.call` now falls back to `findRunByIdWithMollifierFallback` + `buildSyntheticSpanRun` instead of returning undefined and triggering the "Event not found" toast loop. - **Logs download for buffered runs returns a gzipped placeholder line** — replaces the 404 with a content-encoded line explaining the run is queued. Same org-membership gate as the PG path. - **Admin Debug-Run button hidden for buffered runs + SpanRun circular type alias broken** (squashed) — buttons gate on a new `isBuffered` flag on the synthetic SpanRun. Required grounding SpanRun in `SpanPresenter.getRun` to break a circular type alias TS no longer tolerates once `isBuffered` is a literal field on the shape. - **Replay action requires user auth + org-membership** (🚩 Devin finding) — `action` was unauthenticated and the PG `findFirst` had no org filter, so any caller with a valid `runParam` could replay any run. Buffered fallback inherited the same gap. Fixed to mirror the cancel route. --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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e1950778e2 |
feat(webapp): mollifier API mutations on buffered runs (#3756)
## Summary Cancel, replay, reschedule, metadata, tags, and idempotency-key-reset now succeed against a run that's still in the mollifier buffer. Mutations are applied to the buffered snapshot via Lua CAS; the drainer carries the mutation forward when it replays. Primitives added: - `mutateWithFallback` — PG-first / buffer-fallback resolver with bounded-wait safety net for entries that transition mid-mutation. - `applyMetadataMutation` — buffered metadata PUT mirroring the PG-side retry loop with CAS atomicity. - `resolveRunForMutation` — discriminated-union resolver used by route `findResource` so the route builder's pre-action 404 check sees buffered runs. Routes wired (whole files, no GET/POST splits): - `api.v2.runs.\$runParam.cancel.ts` - `api.v1.runs.\$runParam.replay.ts` - `api.v1.runs.\$runParam.reschedule.ts` - `api.v1.runs.\$runId.metadata.ts` - `api.v1.runs.\$runId.tags.ts` - `resetIdempotencyKey.server.ts` Stacked on the reads PR. ## Test plan - [x] \`pnpm run typecheck --filter webapp\` passes - [x] \`pnpm run test --filter webapp test/mollifierMutateWithFallback.test.ts\` passes - [x] \`pnpm run test --filter webapp test/mollifierApplyMetadataMutation.test.ts\` passes - [x] \`pnpm run test --filter webapp test/mollifierResolveRunForMutation.test.ts\` passes --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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a1dc3c5ae1 |
feat(webapp): mollifier API GET read-fallback — synthetic primitives + route wiring (#3755)
## Summary Synthesise QUEUED/FAILED responses from the mollifier buffer when a TaskRun row hasn't landed in Postgres yet. Wires the synthesis into: - `ApiRetrieveRunPresenter` - v1 trace GET route - v1 spans GET route - attempts route gains a GET loader (fixes pre-existing Remix "no loader" 400) The `readFallback` infra itself lives on the trigger PR (consumed by `IdempotencyKeyConcern`); this PR adds the route-level synthetic-rendering primitives. Stacked on the replay PR. ## Test plan - [x] \`pnpm run typecheck --filter webapp\` passes - [x] \`pnpm run test --filter webapp test/mollifierSyntheticRedirectInfo.test.ts\` passes - [x] \`pnpm run test --filter webapp test/mollifierSyntheticSpanRun.test.ts\` passes --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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4745754a7a |
feat(webapp,run-engine): mollifier drainer replay + stale sweep + cancelled-run engine API (#3754)
## 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> |
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20a676d2ed |
fix(core,webapp): coerce numeric concurrencyKey to string (#3789)
## 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> |
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577f35eebe |
feat(webapp): mollifier trigger-time decisions — mollify, claim, read fallback (#3753)
## 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> |
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3924aa4adb |
feat(redis-worker,webapp): mollifier buffer extensions + snapshot type (#3752)
## 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> |
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9cb6fd17c3 |
fix(webapp): idempotent DeploymentBackgroundWorker creation (#3772)
Make `POST /api/v1/deployments/:deploymentId/background-workers` idempotent so client-side retries no longer collide on the `BackgroundWorker` `(project, env, version)` unique index. Helps make deployments more resilient against the class of indexing failures that surfaces in the dashboard as "Indexing timed out", e.g. during transient database issues. |
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816986d44e |
fix(webapp): treat Phase 2 batch-stream retries as idempotent (TRI-9944) (#3766)
Returns sealed:true when a fast-completing batchTrigger races the stream finalisation, instead of throwing 422/BatchTriggerError. |
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90bbbd1c44 |
fix(webapp): recover from ClickHouse JSON parse failures on out-of-range integers (#3759)
## Summary Second class of poisoned-row failure in the runs replication path. PR #3708 plugged lone UTF-16 surrogates; this one handles bare JSON integer literals outside ClickHouse's `Int64`..`UInt64` range. Recovery stays purely reactive — the existing `sanitizeRows` walker just gains an extra branch, so the hot replication path pays nothing on healthy rows. Fixes the still-firing customer-facing symptom from [TRI-9755](https://linear.app/triggerdotdev/issue/TRI-9755): `scan-social-profiles` runs continued to be stranded in `EXECUTING` on the Tasks page after #3708 deployed. CloudWatch showed `Dropped batch — ClickHouse JSON parse error but sanitizer found nothing to fix` firing **8/8 times** since the previous deploy (zero successful sanitizations). Root cause: upstream JS Number precision loss on a 21-digit Google Plus ID (`117039831458782873093` → `117039831458782870000`) — the precision-lossy value still serialises as a bare integer that exceeds `UInt64.MAX`, which ClickHouse rejects with `INCORRECT_DATA`. ## How the bug ships The customer task emits an output containing a Poshmark profile's `spec_format`: ```json {"key":"gp_id","proper_key":"Gp Id","value":117039831458782870000,"type":"int"} ``` That value is `1.17e20` — comfortably above `UInt64.MAX` (`1.84e19`) but comfortably below `1e21`. `Number.prototype.toString` only switches to exponential form at `|value| >= 1e21`, so `JSON.stringify` emits the bare token `117039831458782870000` and the ClickHouse `JSON(max_dynamic_paths)` column fails with: ``` Code: 117. DB::Exception: Cannot parse JSON object here: {…}: (while reading the value of key output): (at row 1) : While executing ParallelParsingBlockInputFormat. (INCORRECT_DATA) (version 25.12.x) ``` Same error verbatim as prod. The same number quoted (`"117039831458782870000"`) inserts fine — ClickHouse's dynamic JSON column accepts a `String` subtype on the same path. ## What changed `apps/webapp/app/v3/eventRepository/sanitizeRowsOnParseError.server.ts`: - New private `isUnsafeJsonInteger(value)` helper — true iff `value` is a finite integer-valued JS Number where `|value| < 1e21` (so `JSON.stringify` emits integer form, not exponent) **and** `value` falls outside `[Int64.MIN, UInt64.MAX]`. - `sanitizeUnknownInPlace` gains a number-branch: when the predicate holds, replace the Number with `String(value)`. The downstream JSON column dynamic-types the path as String for that row — fine, since the value was already precision-lossy upstream (no JS Number above 2^53 is numerically meaningful anyway). - Float-valued numbers, large floats (>= 1e21), NaN and Infinity are left alone — `JSON.stringify` emits them with exponents or as `null`, both of which ClickHouse accepts. `apps/webapp/test/sanitizeRowsOnParseError.test.ts`: four new unit tests + an extension to `sanitizeRows` covering surrogate + integer fixes counted together across rows. The unit suite now covers: - Positive value above `UInt64.MAX` (`117039831458782870000` — the actual prod value) - Negative value below `Int64.MIN` - Boundary values pass through (`42`, `Number.MAX_SAFE_INTEGER`, `2^63`) - Non-integer numbers untouched (floats, `1e25`, NaN, Infinity) - The actual `scan-social-profiles` nested shape — finds the offending `gp_id` deep inside `output.data.profiles[].spec_format[].platform_variables[].value` `.server-changes/runs-replication-bigint-recovery.md` — release notes entry. ## Why reactive, not pre-flight `#prepareJson` runs millions of times per day on the replication hot path. Walking every JSON tree to look for oversized integers would add bounded-but-real CPU on every healthy row. `sanitizeRows` only fires after a ClickHouse parse-error rejection, which is a few times a day platform-wide. Extending it costs effectively zero on healthy traffic and gains us recovery on the rare poisoned row. ## Verification - Reproduced 1:1 in a throwaway Docker `clickhouse/clickhouse-server:25.12.11.4` (closest available to the prod `25.12.1.1579` build). Pre-sanitize JSON fails with the exact prod error; post-sanitize JSON inserts cleanly and the row is readable with `gp_id` stored as a String subtype. - `pnpm --filter webapp exec vitest run test/sanitizeRowsOnParseError.test.ts` — 22/22 passing (18 existing + 4 new). - `pnpm run typecheck --filter webapp` — clean. ## Test plan - [x] `pnpm run typecheck --filter webapp` - [x] Unit tests pass against new + existing cases - [x] End-to-end Docker ClickHouse repro confirms recovery - [ ] Post-deploy: confirm `Sanitizing batch after ClickHouse JSON parse error` warns fire instead of `Dropped batch …` errors when `scan-social-profiles` outputs trip CH again - [ ] Post-deploy: confirm `permanentlyDroppedBatches` counter stops climbing in `/stp/trigger-app-prod/ecs/replication/service-container/process-logs` ## What this does NOT do - Doesn't backfill the ~120k+ existing stranded `EXECUTING` rows in production. Same as #3708 — that needs a reconciliation/backfill sweep (separate ticket — TRI-9755 fix #3). - Doesn't address the upstream root cause (the customer task emitting a JS-Number-precision-lossy big int). That's a customer-task concern; our replication path needs to be robust to whatever shape arrives. 🤖 Generated with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com> |
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2fcc484a2b |
fix(webapp): route OrganizationDataStoresRegistry writes through the writer prisma (#3722)
## Bug
The `OrganizationDataStoresRegistry` singleton in
`apps/webapp/app/services/dataStores/organizationDataStoresRegistryInstance.server.ts`
was constructed with `$replica`. That client was then used by both the
polling read path *and* by `addDataStore` / `updateDataStore` /
`deleteDataStore` (and their backing `SecretStore.setSecret` upserts).
The write methods route through the read replica, which Postgres rejects
with **error code 25006**:
```
Invalid prisma.secretStore.upsert() invocation:
ConnectorError(ConnectorError { user_facing_error: None, kind: QueryError(PostgresError {
code: "25006",
message: "cannot execute INSERT in a read-only transaction",
...
}), transient: false })
```
User-visible symptom: the admin `/admin/data-stores` "Add data store"
form returns a 400 with this error wrapped, so no
`OrganizationDataStore` row can ever be created via the UI.
The read path (`loadFromDatabase` polling + `SecretStore.getSecret`) is
unaffected because `findMany` + secret read are read-only.
## Fix
Change the registry constructor to take both a writer and a replica:
```ts
constructor(writer: PrismaClient, replica: PrismaClient | PrismaReplicaClient)
```
- `loadFromDatabase()` keeps using `_replica` (and its
`SecretStore.getSecret` calls) — these are background cache-fillers, not
on user-latency-sensitive paths.
- `addDataStore` / `updateDataStore` / `deleteDataStore` (and their
`SecretStore.setSecret` / `deleteSecret` calls) now use `_writer`.
`organizationDataStoresRegistryInstance.server.ts` passes `(prisma,
$replica)` from `~/db.server`. Test sites that constructed with
`(prisma)` now pass `(prisma, prisma)` — the testcontainer exposes a
single client, so the writer/replica split collapses to one connection.
## Files
-
`apps/webapp/app/services/dataStores/organizationDataStoresRegistry.server.ts`
— constructor + read/write split
-
`apps/webapp/app/services/dataStores/organizationDataStoresRegistryInstance.server.ts`
— pass `prisma` alongside `$replica`
- `apps/webapp/test/organizationDataStoresRegistry.test.ts` — 14 call
sites bumped
- `apps/webapp/test/clickhouseFactory.test.ts` — 5 call sites bumped
## Test plan
- [x] Existing `organizationDataStoresRegistry.test.ts` +
`clickhouseFactory.test.ts` still pass (constructor sites updated;
behavior unchanged for tests).
- [ ] After deploy to test cloud, retry `/admin/data-stores` "Add data
store" form for the HIPAA org — should now succeed and the row should
appear.
- [ ] Verify the registry's polling reload picks up the new row within
`ORGANIZATION_DATA_STORES_RELOAD_INTERVAL_MS` (60s default) and the
factory starts routing to the org-scoped instance.
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1015876b98 |
feat(webapp): user-based Sentry attribution with tenant tags (#3678)
## Summary
Stamp every Sentry event with the signed-in user and the tenant (org /
project / env) the request belongs to, so "Users Impacted" counts
distinct humans and events become filterable per tenant.
**Design after review (current):**
- `user.id = real user cuid` (from `requireUser`). "Users Impacted"
counts humans, not tenants.
- Tenant context (org / project / env slugs, IDs, env type) moves
entirely onto tags: `org_slug`, `project_slug`, `env_slug`, `org_id`,
`project_id`, `project_ref`, `environment_id`, `env_type`, plus
`impersonating` when set.
- Backed by an `AsyncLocalStorage` scope established at the HTTP entry.
Each entry point fills what it knows; loaders enrich the same scope with
what they already have.
**Zero new database queries.** The middleware does a regex match only.
Dashboard loaders that already query Prisma gain a couple of extra
selected columns; nothing new round-trips.
## How it's wired
- **Express middleware (`tenantContextResolver.server.ts`)** — parses
the URL with a regex and always opens an ALS scope. Populates whatever
subset of slugs is present: `/orgs/:o` → just `orgSlug`;
`/orgs/:o/projects/:p` adds `projectSlug`; the full triple adds
`envSlug`. Non-tenant paths get an empty scope so loaders can still
enrich.
- **`_app/route.tsx`** — already calls `requireUser`. Adds
`tenantContext.enrich({ userId: user.id })` for every authenticated
dashboard request. No new query.
- **Env layout loader (`_app.orgs.$o.projects.$p.env.$e/route.tsx`)** —
its existing `prisma.project.findFirst` gains two columns in `select`
(`externalRef`, `organization.id`). After it picks an env, calls
`tenantContext.enrich({ orgId, projectId, projectRef, envId, envType
})`. Same query, +2 columns.
- **API path (`apiBuilder.server.ts`)** — wraps every handler in
`tenantContext.run(tenantContextFromAuthEnvironment(authenticationResult.environment),
…)`. The mapper pulls `userId` from `env.orgMember?.userId` (already
selected by `authIncludeBase` — no schema change). Covers
`createLoaderApiRoute`, `createActionApiRoute`, and
`createMultiMethodApiRoute`.
- **Event processor (`sentryTenantContext.server.ts`)** — registered in
`entry.server.tsx` so it lives in the Remix bundle and shares the same
`tenantContext` ALS instance as the middleware and loaders. Stamps
whatever's present; nothing forced.
## Example events from local verification
| URL | `user.id` | Tags |
|-----|-----------|------|
| `/orgs/:o/projects/:p/env/:e/...` | real user cuid | `org_slug`,
`project_slug`, `env_slug`, `org_id`, `project_id`, `project_ref`,
`environment_id`, `env_type` |
| `/orgs/:o/settings` (non-env-scoped) | real user cuid | `org_slug`
only |
| API request with `orgMember` | `orgMember.userId` | full tenant set |
| API request without `orgMember` | (unset) | full tenant set |
## Trade-offs
1. On env-scoped pages, errors that fire before the env layout loader's
enrich callback runs get slugs + `user.id` but not the tenant IDs /
`env_type`. Realistic errors deep in async work get the full set. (Same
race as before, narrower window now that slugs/`user.id` are populated
up-front by the middleware and `_app` enrich.)
2. API requests where the environment has no `orgMember` get tenant tags
but no `user.id`. Those events still show in the issue but don't
contribute to "Users Impacted".
## Out of scope (deferred)
Background workers (`redis-worker`, `schedule-engine`) and socket
handlers. Those entry points don't set `tenantContext.run` yet — their
events ship without tenant attribution until each is wired in a
follow-up.
## Tests
31 unit tests across 4 files. New tests notably cover:
- `parseTenantPath`: org-only, org+project, and full-triple URL
variants.
- `tenantContext.enrich`: in-place patch, no-op outside `run()`,
concurrent-scope isolation, empty-scope + enrich pattern (for non-tenant
pages).
- `tenantContextFromAuthEnvironment`: with and without `orgMember` —
verifies the API path's `user.id` mapping.
- `addTenantContextToEvent`: empty scope, userId-only, slugs-only, full
enrichment, conditional tag emission, preservation of prior `event.user`
fields.
## Test plan
- [ ] `pnpm run typecheck --filter webapp`
- [ ] `pnpm run test --filter webapp -- test/tenantContext.test.ts
test/sentryTenantContext.test.ts test/tenantContextResolver.test.ts
test/tenantContextFromAuthEnvironment.test.ts`
- [ ] Local manual: with `SENTRY_DSN` set, hit a dashboard URL and an
API route, confirm the captured events carry `user.id` + the expected
tag set in Sentry.
- [ ] After ship: confirm "Users Impacted" on a real Sentry issue
reflects distinct users (not tenants).
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
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71d98b4e6b |
Support for org-scoped ClickHouse (#3333)
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> |
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d343727021 |
fix(webapp,sdk): keep chat.agent snapshots on one object store (#3679)
(`OBJECT_STORE_BASE_URL`) and a named protocol provider
(`OBJECT_STORE_DEFAULT_PROTOCOL=s3`), chat.agent session snapshot writes
landed in the named provider but reads fell through to the default — so
the recovery boot couldn't find the snapshot it had just written.
After a mid-stream cancel, the missing snapshot triggered a fallback
replay path that dropped the user's follow-up message, leaving the chat
stuck in `submitted` indefinitely.
Fix:
- New `/api/v1/sessions/:id/snapshot-url` route handles PUT + GET
symmetrically — both prefix unprefixed keys with
`OBJECT_STORE_DEFAULT_PROTOCOL` so they always round-trip through the
same store.
- `Session.chatSnapshotStoragePath` persists the resolved URI on first
write so future protocol changes don't strand existing snapshots.
Reads prefer the stored URI and fall back to the computed default for
pre-column sessions.
- SDK calls `createChatSnapshotUploadUrl` / `getChatSnapshotUrl`; the
generic v1/v2 packets endpoints are unchanged.
## Test plan
- [x] Configure local with two providers (R2 default + MinIO `s3` named)
and `OBJECT_STORE_DEFAULT_PROTOCOL=s3`.
- [x] Reproduce hang: send a message, cancel mid-stream, send another —
without the fix it hangs in `submitted`; with the fix it streams.
- [x] Snapshot lands in the `s3`-protocol bucket and
`Session.chatSnapshotStoragePath` is set after first write.
- [x] SDK unit tests pass; webapp typecheck passes.
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6b46a34c46 |
fix(webapp): return 404 instead of 500 for missing env/project/schedule loaders (#3663)
## Summary
- Dashboard loaders for runs / sessions / batches / schedule-detail
threw bare `Error("X not found")` when a slug didn't resolve. Remix
surfaces this as a 500 and Sentry captures it via auto-instrumentation,
producing ongoing noise from real users following stale preview-branch
or deleted-resource links (the URLs in those Sentry events all carry
`?_data=routes/...`, i.e. client-side revalidation, not full-page
navigation).
- Added a `throwNotFound(statusText)` helper in
`app/utils/httpErrors.ts` that throws a Response with status 404,
matching the established pattern in sibling routes (agents, alerts,
bulk-actions, etc.).
- Migrated 5 loader sites to `throwNotFound` (4× "Environment not
found", 1× "Schedule not found").
- Migrated 1 loader site (`runs._index` project branch) to
`redirectWithErrorMessage("/", request, "Project not found")` to match
the pre-existing convention used by every other dashboard route's
project-not-found branch.
- Intentionally **not** touched: bare `throw new Error("X not found")`
inside `resources.*` action routes (sit inside try/catch blocks that
already redirect with a flash message), the invariant assertion in
`vercel.connect.tsx`, and the admin config check in
`admin.api.v1.runs-replication.backfill.ts`.
## Where the fix is visible
Normal browser navigation to these URLs doesn't reach the buggy loaders
— the parent env-layout
(`_app.orgs.$organizationSlug.projects.$projectParam.env.$envParam/route.tsx`)
already filters missing envs/projects and redirects/404s before the
child loader runs. The bug fires exclusively when Remix calls a single
child loader via `?_data=routes/...`, which happens during client-side
navigation or `useRevalidator`. That matches every Sentry event URL.
## Test plan
- [x] Unit test for the new helper —
`apps/webapp/test/httpErrors.test.ts`
- [x] `pnpm run typecheck --filter webapp` clean
- [x] Manual verification via Playwright on `main` vs this branch (6
cases): main returns 500 for each defective `_data` URL; branch returns
404 or 204 + `X-Remix-Redirect` as designed
- [x] Verified user-visible 404 catch boundary on `schedules/<missing>`
(the one case reachable via normal nav)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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f91b96efb7 | feat(sdk,core): preserve chat.agent context after cancel / OOM / crash (#3671) | ||
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02d61afc1c |
fix(webapp): sanitize OTel attributes on ClickHouse JSON parse rejection (#3659)
Before fix: <img width="1264" height="987" alt="image" src="https://github.com/user-attachments/assets/24b8b85c-b89f-4109-9004-8d6af61d2849" /> After fix: <img width="1264" height="987" alt="image" src="https://github.com/user-attachments/assets/89bbc587-c50a-45ab-b203-dbe91028e918" /> |
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906d5fafb6 |
feat(mollifier): trigger burst smoothing — Phase 1 (monitoring) (#3614)
## 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> |
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82853debea |
feat(webapp,core,sdk,cli): bound session.out via per-turn trim (#3644)
## Summary Long-running chat agents were filling `session.out` forever — every `chat.agent` turn appended to the same S2 stream with no trim, and the Sessions dashboard re-streamed the entire history from `seq_num=0` on every page load. After this change the agent appends an S2 `trim` command record after each `trigger:turn-complete`, pointing back at the previous turn-complete's seq_num. `session.out` stays roughly one turn long at steady state, regardless of session age. `trigger:turn-complete` and `trigger:upgrade-required` move from `chunk.type`-shaped data records into header-form control records under a uniform `trigger-control` namespace. Built-in transports (`TriggerChatTransport`, `AgentChat`, the dashboard's `AgentView`) handle the new shape transparently. Custom transports need a one-line filter on the `trigger-control` header — see the rewritten "Records on session.out" section in the client-protocol docs. The Sessions detail page in the dashboard fetches the agent's per-turn S3 snapshot via a presigned URL and seeds the transcript view, then SSE-tails from the snapshot's `lastOutEventId`. Bandwidth and time-to-first-render scale with unread turns instead of session lifetime. Resume contract is now explicit: single-turn-boundary resume always works (the prior turn-complete is still on the stream), the S2 trim is eventually consistent over 10-60s, and multi-turn-away resume falls back to a snapshot reload. |
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454f0c949a |
perf(webapp): cache task metadata in Redis for the trigger hotpath (#3625)
## 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. |
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5022769f70 |
fix(webapp): retry on version collision when initializing a deployment (#3610)
Concurrent `POST /api/v1/deployments` requests for the same environment race on the `WorkerDeployment(environmentId, version)` unique constraint. Both requests read the same latest deployment via `findFirst`, compute the same next version via `calculateNextBuildVersion`, and both attempt `prisma.workerDeployment.create()` — one wins, the other crashes with Prisma `P2002`. The bug is a classic TOCTOU between the version read and the version write; it's been latent since the version-assignment logic was first added but only fires when two deploys land within milliseconds of each other (CI matrices, retried CLI calls, webhook-triggered redeploys). ## Approach Extracts the version assignment + create into a small helper `createDeploymentWithNextVersion` (`apps/webapp/app/v3/services/initializeDeployment/createDeploymentWithNextVersion.server.ts`). The helper retries on `P2002 (environmentId, version)` up to 5 times with randomised 5–50ms jitter so N concurrent racers don't loop in lockstep. Each attempt re-reads the latest version, recomputes via `calculateNextBuildVersion`, and re-runs the caller's `buildData` callback so version-dependent fields (image ref tag, friendlyId) are always consistent with the version actually persisted. A `logger.warn` fires per collision so the retry rate is observable in production logs. When retries are exhausted, the helper throws a dedicated `DeploymentVersionCollisionError` carrying `environmentId`, `attempts`, and `lastAttemptedVersion`, with the original `PrismaClientKnownRequestError` attached as `cause`. Sentry walks the `cause` chain natively, so contention exhaustion shows up as a distinguishable wrapper exception linked to the underlying `P2002` rather than a generic unique-constraint violation that looks identical to every other duplicate-key bug. The behavioural change is limited to "catch P2002 and retry instead of crashing." The image ref computation stays inside the builder callback (same call site as before the refactor), so ECR / non-ECR behaviour, S2 stream creation order, and all downstream side effects are unchanged. ## Non-goals - No new database migrations, no schema changes, no isolation-level / locking changes. A serialisable transaction or advisory lock would also fix this; retry-on-conflict is the smaller change that keeps the existing version-allocation logic intact. - Does not touch the analogous `calculateNextBuildVersion` call in `createBackgroundWorker.server.ts`, which likely has the same race shape against `BackgroundWorker`'s unique constraint — flagged as a follow-up. ## Test plan - [x] `pnpm run typecheck --filter webapp` passes (no new errors in the modified files). - [x] Three real-Postgres tests in `apps/webapp/test/createDeploymentWithNextVersion.test.ts` via `containerTest`: - 5 concurrent calls all produce distinct, persistable versions (`Set(versions).size === concurrency`). The naive read-then-create version of the helper fails this test with the exact same `P2002` seen in production; the retry version passes. - Non-`P2002` errors raised from the `buildData` callback propagate immediately without retry, builder invoked exactly once. - With `maxRetries: 0`, concurrent racers surface the wrapped `DeploymentVersionCollisionError` (not a raw `P2002`); `environmentId`, `attempts`, `lastAttemptedVersion` are populated and `error.cause.code === "P2002"`. - [x] Existing `apps/webapp/test/getDeploymentImageRef.test.ts` still green (the file was untouched in the final diff). ## Follow-ups (not in this PR) - `createBackgroundWorker.server.ts` likely has the same TOCTOU shape against its background-worker version unique constraint — should use the same helper. - Sentry visibility check: confirm `error.cause` chain renders as a linked exception in the Sentry UI when the wrapped error fires (requires a sandboxed triggering of the exhaustion path). Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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16720a5e62 |
feat(sdk): chat.agent — runtime + browser transport
Adds the chat.agent({...}) task definition (server runtime) and the
browser-side TriggerChatTransport + AgentChat that drives it from a
React or Next.js app. The runtime sits on top of the Sessions primitive
and handles the durable conversational task lifecycle.
Server runtime:
- chat.agent({...}) — session-aware task definition
- Lifecycle hooks: onChatStart, onTurnStart, onTurnComplete, onAction,
onValidateMessages, hydrateMessages
- chat.history read primitives for HITL flows
- chat.local, chat.headStart, chat.handover, oomMachine
- Delta-only wire + S3 snapshot reconstruction at run boot
- Actions are no longer turns
Browser transport:
- TriggerChatTransport (ai-sdk Transport): delta-only wire sends,
SSE reconnection with lastEventId resume, stop/abort cleanup,
dynamic accessToken refresh
- AgentChat: direct programmatic API
- useTriggerChatTransport (React hook)
- chat-tab-coordinator: cross-tab leader election
Includes the chat-agent, chat-agent-delta-wire-snapshots,
chat-history-read-primitives, chat-head-start, chat-actions-no-turn,
chat-session-attributes, agent-skills, and mock-chat-agent-test-harness
changesets.
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e4981d1b11 |
feat(webapp): consolidate auth path + add comprehensive auth tests (#3499)
## 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>
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749dc467f1 |
feat(webapp): link Sentry events to OTel traces via trace_id (#3531)
## Summary Stamps the active OpenTelemetry `trace_id` and `span_id` onto every Sentry event captured from the webapp, so engineers can copy a `trace_id` from a Sentry issue and search for the corresponding trace in any OTel-aware backend. Also adds an `otel_sampled` tag to indicate whether the trace was head-sampled — a cheap signal for whether the link will resolve to span data or hit a missing trace. ## Why Sentry and OTel were OTel-disconnected: `apps/webapp/sentry.server.ts` initialised Sentry with `skipOpenTelemetrySetup: true`, and no error-capture site (`logger.server.ts`, the Remix-wrapped `handleError`, the root `ErrorBoundary`) attached OTel context to the event. With many spans/sec across services, getting from a Sentry issue to its trace was guesswork. ## Approach Single global Sentry event processor, registered immediately after `Sentry.init`. On each event it reads `trace.getActiveSpan()?.spanContext()` via `@opentelemetry/api`, then writes: - `event.contexts.trace.trace_id` and `event.contexts.trace.span_id` (Sentry's native trace context fields) - `event.tags.otel_sampled` = `"true"` | `"false"` (derived from `traceFlags`) If no active span (module-load errors, scheduled timers without a context, primary cluster process), the processor returns the event unmodified — Sentry's default propagation context fills in. Implementation is co-located in `apps/webapp/sentry.server.ts` (no separate helper module — `sentry.server.ts` is built standalone by esbuild and a separate import would have required a new bundling step). Helper functions are exported so the unit tests can reach them without re-running `Sentry.init`. ## Non-goals (deliberate) - No sample rate change. ~95% of Sentry events will carry a `trace_id` that returns no spans in the tracing backend (head-sampled out). The `otel_sampled` tag makes that obvious at a glance. Raising find-rate is a separate conversation with cost trade-offs. - No user/org tags or `Sentry.setUser` (would need auth-helper + per-request scope wiring across multiple worker entrypoints — separate ticket). - Webapp image only. No changes to supervisor or CLI workers. ## Test plan - [x] Unit tests in `apps/webapp/test/sentryTraceContext.server.test.ts` — 9 tests covering: helper returns \`undefined\` with no active span; returns \`traceId\`/\`spanId\`/\`sampled=true\` for a recording span; returns \`sampled=false\` for a non-recording span; processor leaves the event unchanged with no active span; processor stamps \`trace_id\`/\`span_id\` onto \`contexts.trace\`; preserves existing \`contexts.trace\` fields; tags \`otel_sampled\` correctly for both sampled and non-sampled cases; never throws if \`@opentelemetry/api\` access throws. - [x] \`pnpm run typecheck --filter webapp\` passes. - [x] Manually verified end-to-end against a sandboxed Sentry project: confirmed both sampled and non-sampled traces correctly populate \`contexts.trace.trace_id\` matching the OTel ids logged from the loader, and the \`otel_sampled\` tag appears with the expected value. Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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45ec23cc73 |
feat(webapp): app auto session logout (#3473)
<img width="2284" height="2028" alt="CleanShot 2026-05-01 at 18 53 50@2x" src="https://github.com/user-attachments/assets/4f58cbb1-0168-40fb-a523-017f2ba625a1" /> ## Performance - **Per-request DB hit**: `getUserId` runs `getEffectiveSessionDuration` (User lookup + Org `aggregate`) on *every* authenticated request, including each fetcher poll. Consider caching the effective duration in the session cookie with a short TTL (e.g. 60s) and revalidating in the background. - **Double session commit in `root.tsx`**: `getUser` already runs the expiry check; then `commitAuthenticatedSessionLazy` commits the cookie again. Fine, but doubles `Set-Cookie` headers on every page load — worth a quick perf check. ## Correctness / Edge cases - **Lazy backfill assumes a root.tsx hit first**: users whose first post-deploy request is a fetcher/API route (`/resources/*`) skip the backfill until they navigate to a page. Not a security hole, but `getUserId` could backfill itself for completeness. - **No upper bound on `Organization.maxSessionDuration`**: admin API accepts `1` second, which would instant-logout every member on next request. Add a `min(60)` (or `min(300)` to match the lowest user option) to the Zod schema. - **No clock-skew tolerance**: `isSessionExpired` is exact-millisecond. Multi-instance deploys with skewed clocks could log users out a few seconds early/late. Probably fine for the 5-min minimum, but worth noting. ## Security - **Auto-logout audit log lacks IP/orgId**: HIPAA forensics typically wants source IP and which org context. Currently logs only `userId` + path. IP isn't PII for audit purposes; orgIds help correlate. Add both. - **Cookie `Max-Age` is 1 year regardless of user's setting**: intentional (server-side `issuedAt` is the source of truth), but reviewers will ask. Add a one-line comment on the cookie config explaining why. ## API surface - **`maxSessionDuration` is admin-PAT only**: no in-app UI for org owners to set/change their own cap. If this is "Trigger staff sets it during HIPAA onboarding", say so in the PR description; otherwise add an org-settings UI. - **Auto-submit dropdown has no confirmation**: misclicking "5 minutes" immediately shortens the user's session window with no undo. Consider a save button or 3-sec undo toast. ## Schema / migration - **`User.sessionDuration NOT NULL DEFAULT 31556952`**: instant on PG 11+ (metadata-only), but call out in the PR description so reviewers don't worry about a table rewrite on the User table. - **No DB-level constraint matching `SESSION_DURATION_OPTIONS`**: if the option list changes, existing users keep orphaned values. The dropdown's tag-along behaviour hides this — fine for now, but if you ever drop an option you'll need a backfill. ## UX - **Session expiry only fires on next request**: an idle authenticated tab keeps showing UI past the cap (until SSE/polling catches it, ~60s). Add a client-side timer based on the user's effective duration that triggers a fetcher to `/account` or `/logout` at expiry. - **No "you were signed out" message on logout**: users hitting their cap are bounced to `/` with no explanation. Was intentionally reverted in this PR — call that out so reviewers don't request it. ## Tests - Unit coverage on `sessionDuration.server.ts` is solid (215 lines). Missing: integration test for `getUserId` → expired session → redirect to `/logout`, and one for the loader's clamping fix (the most recent bug). Add at least the second one to lock in the regression. --------- Co-authored-by: Matt Aitken <matt@mattaitken.com> Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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04bdf4b90b |
perf(webapp): throttle PAT + OAT lastAccessedAt writes to once per 5 min (#3493)
## Summary
Each successful PAT (`PersonalAccessToken`) or OAT
(`OrganizationAccessToken`) authentication issues a `prisma.X.update({
lastAccessedAt: new Date() })` to bump the timestamp. For tokens used at
high frequency (CLI clients, integrations) this generates a per-request
DB write that is mostly redundant — the `lastAccessedAt` field is only
surfaced on the settings page so users can decide which tokens to
revoke, and "within the last 5 minutes" is plenty of granularity for
that.
## Design
Replace each unconditional `update` with a conditional `updateMany`
whose `WHERE` requires the existing `lastAccessedAt` to be `NULL` or
strictly older than 5 minutes:
```ts
await prisma.personalAccessToken.updateMany({
where: {
id: personalAccessToken.id,
OR: [
{ lastAccessedAt: null },
{ lastAccessedAt: { lt: new Date(Date.now() - PAT_LAST_ACCESSED_THROTTLE_MS) } },
],
},
data: { lastAccessedAt: new Date() },
});
```
The conditional runs inside the SQL `UPDATE`, so concurrent auths can't
race into a double-write.
No schema change. No migration. No new infrastructure. Throttle is a
hardcoded constant (`5 * 60 * 1000`) — easy to revisit.
## Test plan
- [x] `pnpm run typecheck --filter webapp`
- [x] `pnpm vitest run ./test/services/personalAccessToken.test.ts
./test/services/organizationAccessToken.test.ts` — 6/6 pass, verifying
the throttle `WHERE` clause is constructed correctly and the `update` is
skipped on token-not-found / wrong-prefix paths
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c69e939c34 |
feat: Sessions - bidirectional durable agent streams (#3417)
> ⚠️ **Not released yet.** This PR is the server-side foundation only. The SDK changes that customers will actually use (`chat.agent` migration, `chat.createStartSessionAction`, `useTriggerChatTransport` updates) live on a separate branch and ship together in an upcoming `@trigger.dev/sdk` prerelease. Until that prerelease is published, this surface is reachable only via direct HTTP. ## What this gives Trigger.dev users A new first-class primitive, **Session**, for durable, task-bound, bidirectional I/O that outlives any single run. Sessions are the run manager for `chat.agent` going forward, and they unblock anything else that needs "one identifier, many runs over time" with a stable channel pair the client can write to and subscribe to. ### Use cases unblocked - **Chat agents that persist across many runs.** One session per chat (keyed on your own `chatId` via `externalId`), turns 1..N attach to the same Session, the UI subscribes once and keeps receiving output as new runs take over. - **Approval loops and long-running tasks with user feedback.** The task waits on `.in`, the client writes to `.in`, the server enforces no-writes-after-close. - **Workflow progress streams that live past the run.** Subscribe to `.out` after the task finishes to replay history. - **Resume-next-day flows.** A session is a durable row, not a transient stream. Send a message a day later and the server triggers a fresh run on the same session. ### How it works (Session-as-run-manager) A Session row is task-bound (`taskIdentifier` + `triggerConfig` are required) and owns its current run via `currentRunId` + `currentRunVersion` for optimistic claim. Three trigger paths: 1. **Session create** — `POST /api/v1/sessions` creates the row and triggers the first run synchronously. 2. **Append-time probe** — `POST /realtime/v1/sessions/:session/in/append` checks if the current run is alive; if it has terminated (idle exit, crash, etc.), the server triggers a new run before processing the append. 3. **End-and-continue handoff** — `POST /api/v1/sessions/:session/end-and-continue`, called by the running agent, triggers a fresh run and atomically swaps `currentRunId`. Used by `chat.requestUpgrade()` for version handoffs. Every triggered run is recorded in the `SessionRun` audit table with a reason (`initial`, `continuation`, `upgrade`, `manual`). ## Public API surface ### Control plane - `POST /api/v1/sessions` — create. Idempotent on `(env, externalId)`. Triggers the first run, returns the session and a session-scoped public access token. Returns 409 if the upserted row is already closed. - `GET /api/v1/sessions/:session` — retrieve by friendlyId (`session_abc...`) or by your own externalId (server disambiguates by prefix). - `GET /api/v1/sessions` — list with filters (`type`, `tag`, `taskIdentifier`, `externalId`, derived `status` ACTIVE/CLOSED/EXPIRED, created-at range) and cursor pagination. Backed by ClickHouse. - `PATCH /api/v1/sessions/:session` — update tags / metadata / externalId. - `POST /api/v1/sessions/:session/close` — terminate. Idempotent, hard-blocks new server-brokered writes. - `POST /api/v1/sessions/:session/end-and-continue` — agent-only handoff to a fresh run. ### Realtime - `PUT /realtime/v1/sessions/:session/:io` — initialize a channel. Returns S2 credentials in headers so high-throughput clients can write direct to S2. - `GET /realtime/v1/sessions/:session/:io` — SSE subscribe. Supports Last-Event-ID resume and an opt-in `X-Peek-Settled: 1` header that fast-closes the stream when the upstream is already settled (`trigger:turn-complete`), eliminating long-poll wait on reconnect-on-reload paths. - `POST /realtime/v1/sessions/:session/:io/append` — server-side appends. - `POST /api/v1/runs/:runFriendlyId/session-streams/wait` — runs wait on a session stream as a waitpoint, with a race-check to avoid suspending if data already landed. ### Auth scopes `sessions` is a new resource type. `read:sessions:{id}`, `write:sessions:{id}`, `admin:sessions:{id}` flow through the existing JWT validator. Session-scoped public access tokens minted by the server replace browser-held trigger-task tokens for chat-style flows — the browser never sees a run identifier or a run-scoped token in steady state. ## What's coming after this PR - **SDK + chat.agent migration**: separate branch, separate PR, ships in the next `@trigger.dev/sdk` prerelease alongside this server deploy. Customers using the prerelease `chat.agent` will follow the [upgrade guide](https://github.com/triggerdotdev/trigger.dev/blob/docs/tri-7532-ai-sdk-chat-transport-and-chat-task-system/docs/ai-chat/upgrade-guide.mdx). - **Dashboard surfaces**: dedicated agent list, agent playground, agent view on the run dashboard. Tracking separately. ## Implementation notes - **Postgres `Session` table**: scalar scoping columns (`projectId`, `runtimeEnvironmentId`, `environmentType`, `organizationId`) without FKs, matching the January TaskRun FK-removal decision. Point-lookup indexes only — list queries go to ClickHouse. Terminal markers (`closedAt`, `expiresAt`) are write-once. - **ClickHouse `sessions_v1`**: ReplacingMergeTree, partitioned by month, ordered by `(org_id, project_id, environment_id, created_at, session_id)`. Tags indexed via `tokenbf_v1` skip index. - **`SessionsReplicationService`**: mirrors `RunsReplicationService` exactly — leader-locked logical replication consumer, `ConcurrentFlushScheduler`, retry with exponential backoff + jitter, identical metric shape. Dedicated slot + publication so the two consume independently. - **S2 keys**: `sessions/{addressingKey}/{out|in}`. The existing `runs/{runId}/{streamId}` key format for run-scoped streams is untouched. - **Optimistic claim**: `ensureRunForSession` triggers a run upfront (cheap to cancel if it loses the race), then attempts an `updateMany` keyed on `currentRunVersion`. Loser cancels its triggered run and reuses the winner's. No DB lock held across the trigger. ### What did NOT change Run-scoped `streams.pipe` / `streams.input` and the existing `/realtime/v1/streams/{runId}/...` routes are unchanged. Sessions are net-new — not a reshaping of the current streams API. ## Deploy notes - Set `SESSION_REPLICATION_CLICKHOUSE_URL` and `SESSION_REPLICATION_ENABLED=1` to enable the replication consumer. - The `Session` table needs `REPLICA IDENTITY FULL` set on the prod source DB before the publication is created (same one-time DDL we did for `TaskRun`). Required for delete events to carry full column values. - Cross-form authorization on the `GET /api/v1/sessions/:session` loader (a JWT minted for either form authorizes both URL forms). Action routes are URL-form-specific, matching how the SDK mints PATs. ## Verification - Webapp typecheck clean (10/10). - `apps/webapp/test/sessionsReplicationService.test.ts` — round-trip tests for insert/update/delete through Postgres logical replication into ClickHouse via testcontainers. - Live end-to-end against local dev: create + retrieve (both forms) + update + close, `.out.initialize` + `.out.append` x2 + `.in.send` + `.out.subscribe` over SSE, list with all filter combinations + pagination, `end-and-continue` swap, `X-Peek-Settled` fast-close (verified in browser via reconnect-on-reload and via curl). Replicated row lands in ClickHouse within ~1s. - Multi-round Devin + CodeRabbit review feedback addressed (read-after-write paths use `prisma` writer, info-leak on auth-routes masked as 403, peek-settled discriminator parsing fix, etc.). ## Test plan - [ ] `pnpm run typecheck --filter webapp` - [ ] `pnpm run test --filter webapp ./test/sessionsReplicationService.test.ts --run` - [ ] Start the webapp with `SESSION_REPLICATION_CLICKHOUSE_URL` and `SESSION_REPLICATION_ENABLED=1`. Confirm the slot and publication auto-create on boot. - [ ] `POST /api/v1/sessions` and verify the row replicates to `trigger_dev.sessions_v1` within a couple of seconds. - [ ] `POST /api/v1/sessions/:id/close`, then confirm `POST /realtime/v1/sessions/:id/out/append` returns 400. - [ ] Reuse a closed session's `externalId` on `POST /api/v1/sessions` and confirm 409. - [ ] `GET /realtime/v1/sessions/:id/out` with `X-Peek-Settled: 1` after a turn completes and confirm `X-Session-Settled: true` response header + immediate close. |
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8aa1e55588 |
test: e2e auth baseline tests + webapp testcontainer infrastructure (#3438)
Adds a minimal end-to-end test harness that spawns the compiled webapp as a child process against a throwaway Postgres container, plus a baseline of 8 auth-behaviour tests. These tests will be used as a regression check before and after the upcoming apiBuilder RBAC migration to confirm auth behaviour is unchanged. ## What's included **`internal-packages/testcontainers/src/webapp.ts`** (new) Spawns `build/server.js` with a dynamically allocated port, polls `/healthcheck`, and exposes `WebappInstance` and `startTestServer()` (postgres container + webapp + PrismaClient in one call). Key details: - Uses `process.execPath` so the correct Node binary is found in forked test processes - Sets `NODE_PATH` to `node_modules/.pnpm/node_modules` so pnpm-hoisted transitive deps (e.g. `eventsource-parser`) resolve correctly inside the subprocess - Overrides both `PORT` and `REMIX_APP_PORT` so Vite's automatic `.env` loading doesn't override the dynamically allocated port **`internal-packages/testcontainers/package.json`** Adds `./webapp` sub-path export so tests can `import from "@internal/testcontainers/webapp"`. **`internal-packages/testcontainers/src/index.ts`** Exports `createPostgresContainer` (used internally by `webapp.ts`). **`apps/webapp/test/helpers/seedTestEnvironment.ts`** (new) Creates a minimal org → project → environment row set with random suffixes. **`apps/webapp/test/api-auth.e2e.test.ts`** (new) 8 tests across two suites: - API-key bearer: valid key (auth passes, 404), missing header (401), invalid key (401), error body shape - JWT bearer: valid JWT on JWT-enabled route (passes), valid JWT on non-JWT route (401), empty-scope JWT (403), wrong signing key (401) ## How to run ```bash # Build required first (one-time) pnpm run build --filter webapp cd apps/webapp && pnpm exec vitest run test/api-auth.e2e.test.ts ``` ## Test plan - [x] All 8 tests pass against the current webapp build - [x] Webapp healthcheck returns 200 on startup - [ ] CI passes --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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fc71e7dd75 |
fix: handle fast-completion race in batch streaming seal check (#3427)
## 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> |
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79b6053e13 |
feat(server): add TaskIdentifier registry to replace expensive distinct query (#3368)
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. |
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def21b26b6 |
fix(batch): retry R2 upload on transient failure in BatchPayloadProcessor (#3331)
⚒️ Publish Worker (v4) / build (supervisor) (push) Has been cancelled
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. |
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68e88d0d71 |
Object Storage seamless migration (#3275)
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> |
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0977c56efe |
Errors (versions) (#3187)
- Added versions filtering on the Errors list and page - Added errors stacked bars to the graph on the individual error page --------- Co-authored-by: James Ritchie <james@trigger.dev> |
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38559480c9 |
feat: replicate trigger_source, root_trigger_source, and is_warm_start to ClickHouse (#3274)
Adds three new top-level columns to the ClickHouse task_runs_v2 table primarily for analytics: - `trigger_source` / `root_trigger_source` - extracted from the existing TaskRun.annotations JSON during WAL replication - `is_warm_start` - new nullable boolean on TaskRun in Postgres, set in the existing taskRun.update() at attempt start (no additional write). null until the first attempt starts. Run region is already available via the existing `worker_queue` column in ClickHouse. |
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1cfc296c6b |
feat(ai): LLM metrics tracking and AI span inspector (#3213)
- Automatic LLM cost enrichment for AI SDK spans (streamText, generateText, generateObject) or any other spans that use semantic gen_ai attributes with support for 145+ models - New AI span inspector sidebar showing model, tokens, cost, messages, tool calls, and response text - LLM metrics dual-write to ClickHouse `llm_metrics_v1` table for analytics - LLM metrics built-in dashboard (unlinked at the moment) - Provider cost fallback — uses gateway/OpenRouter reported costs from `providerMetadata` when registry pricing is unavailable - Prefix-stripping for gateway/OpenRouter model names (e.g. `mistral/mistral-large-3` matches `mistral-large-3` pricing) - Admin dashboard for managing LLM model pricing (list, create, edit, delete, search, test pattern matching) - Missing models detection page — queries ClickHouse for unpriced models with sample spans and Claude Code-ready prompts for adding pricing - AI span seed script (`pnpm run db:seed:ai-spans`) with 51 spans across 12 provider systems for local dev testing - UI fixes: `completionTokens`/`promptTokens` aliases, `ai.response.object` display for generateObject, cache read/write token breakdown ## Screenshots: <img width="1030" height="104" alt="CleanShot 2026-03-17 at 16 48 54@2x" src="https://github.com/user-attachments/assets/bc8fccda-e48b-4d0c-bfb1-e620064e5979" /> <img width="1094" height="1512" alt="CleanShot 2026-03-17 at 16 49 23@2x" src="https://github.com/user-attachments/assets/c2424569-d07e-4d67-a436-e8250043a1ee" /> <img width="1074" height="1412" alt="CleanShot 2026-03-17 at 16 49 18@2x" src="https://github.com/user-attachments/assets/22342ac4-4769-45d1-a328-a24fb9a82a50" /> <img width="1012" height="2292" alt="CleanShot 2026-03-17 at 16 39 01@2x" src="https://github.com/user-attachments/assets/59e327d1-6652-4293-8be0-bb8326e5fbc5" /> <img width="3680" height="2392" alt="CleanShot 2026-03-15 at 08 29 38@2x" src="https://github.com/user-attachments/assets/1f77beb8-de67-495b-b890-bcdb8d7f1fe8" /> --------- Co-authored-by: James Ritchie <james@trigger.dev> |
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dbbe9f77f9 |
feat(cli): Expand and improve the MCP server and dev CLI command (#3224)
## Summary Major expansion of the MCP server (14 → 25 tools), context efficiency optimizations, new API endpoints, and a fix for the dev CLI leaking build directories on disk. ### New MCP tools - **Query & analytics**: `get_query_schema`, `query`, `list_dashboards`, `run_dashboard_query` — query your data using TRQL directly from AI assistants - **Profile management**: `whoami`, `list_profiles`, `switch_profile` — see and switch CLI profiles per-project (persisted to `.trigger/mcp.json`) - **Dev server control**: `start_dev_server`, `stop_dev_server`, `dev_server_status` — start/stop `trigger dev` and stream build output - **Task introspection**: `get_task_schema` — get payload schema for a specific task (split out from `get_current_worker` to reduce context) ### New API endpoints - `GET /api/v1/query/schema` — discover TRQL tables and columns (server-driven, multi-table) - `GET /api/v1/query/dashboards` — list built-in dashboard widgets and their queries ### New features - **`--readonly` flag** — hides write tools (`deploy`, `trigger_task`, `cancel_run`) so agents can't make changes - **`read:query` JWT scope** — new authorization scope for query endpoints, with per-table granularity (`read:query:runs`, `read:query:llm_metrics`, etc.) - **Paginated trace output** — `get_run_details` now paginates trace events via cursor, caching the full trace in a temp file so subsequent pages don't re-fetch - **MCP tool annotations** — all tools now have `readOnlyHint`/`destructiveHint` annotations for clients that support them - **Project-scoped profile persistence** — `switch_profile` saves to `.trigger/mcp.json` (gitignored), automatically loaded on next MCP server start ### Context optimizations - `get_query_schema` requires a table name — returns one table's schema instead of all tables (60-80% fewer tokens) - `get_current_worker` no longer inlines payload schemas — use `get_task_schema` for specific tasks - Query results formatted as text tables instead of JSON (~50% fewer tokens for flat data) - `cancel_run`, `list_deploys`, `list_preview_branches` formatted as text instead of raw `JSON.stringify()` - Schema and dashboard API responses cached (1hr and 5min respectively) ### Bug fixes - Fixed `search_docs` failing due to renamed upstream Mintlify tool (`SearchTriggerDev` → `search_trigger_dev`) - Fixed `list_deploys` failing when deployments have null `runtime`/`runtimeVersion` fields (fixes #3139) - Fixed `list_preview_branches` crashing due to incorrect response shape access - Fixed `metrics` table column documented as `value` instead of `metric_value` in query docs - Fixed `/api/v1/query` not accepting JWT auth (added `allowJWT: true`) ### Dev CLI build directory fix The dev CLI was leaking `build-*` directories in `.trigger/tmp/` on every rebuild, accumulating hundreds of MB over time (842MB observed). Three layers of protection added: 1. **During session**: deprecated workers are pruned (capped at 2 retained) when no active runs reference them, preventing unbounded accumulation 2. **On SIGKILL/crash**: the watchdog process now cleans up `.trigger/tmp/` when it detects the parent CLI was killed 3. **On next startup**: existing `clearTmpDirs()` wipes any remaining orphans ## Test plan - [ ] `pnpm run mcp:smoke` — 17 automated smoke tests for all read-only MCP tools - [ ] `pnpm run mcp:test list` — verify 25 tools registered (21 in `--readonly` mode) - [ ] `pnpm run mcp:test --readonly list` — verify write tools hidden - [ ] Manual: start dev server, trigger task, rebuild multiple times, verify build dirs stay capped at 4 - [ ] Manual: SIGKILL the dev CLI, verify watchdog cleans up `.trigger/tmp/` - [ ] Verify new API endpoints return correct data: `GET /api/v1/query/schema`, `GET /api/v1/query/dashboards` 🤖 Generated with [Claude Code](https://claude.com/claude-code) |
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5f359be286 |
feature: Errors page (#3172)
A top-level Errors page that aggregates errors from failed runs with occurrences metrics. https://github.com/user-attachments/assets/8f0ef55e-90dd-4faa-9051-59f4665181e4 Errors are “fingerprinted” so similar errors are grouped together (e.g. has an ID in the error message). You can view an individual error to view a timeline of when it fired, the runs, and bulk replay them. |
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8003923598 |
feat(server): Gracefully handle oversized batch items instead of aborting the stream (#3137)
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. |
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ae46e3f7c8 |
feat(server): New TTL system, enforce max queue length limits, lazy waitpoint creation (#2980)
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. |
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9b21f8d322 |
feat(webapp): Vercel integration (#2994)
Vercel integration Desc + Vid coming soon For human reviewer: - check the db schema - check if posthog user attribution call is correct (telemetry.server.ts & `referralSource`) <!-- devin-review-badge-begin --> --- <a href="https://app.devin.ai/review/triggerdotdev/trigger.dev/pull/2994" target="_blank"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://static.devin.ai/assets/gh-open-in-devin-review-dark.svg?v=1"> <img src="https://static.devin.ai/assets/gh-open-in-devin-review-light.svg?v=1" alt="Open with Devin"> </picture> </a> <!-- devin-review-badge-end --> |
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36168b3eb6 |
feat(sdk): expose user-provided idempotency key and scope in task context (#2903)
## 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>
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bb253400a2 |
perf(runs-replication): Improve the CPU efficiency and throughput of the runs replication to clickhouse (#2866)
## Summary Optimizes the runs replication service for better CPU efficiency and throughput when inserting task runs into ClickHouse. ### Key Changes - **Switch to compact array format** - Uses `JSONCompactEachRowWithNames` instead of `JSONEachRow` for ClickHouse inserts, reducing JSON serialization overhead - **Type-safe tuple arrays** - Introduces `TaskRunInsertArray` and `PayloadInsertArray` tuple types with compile-time column order validation - **Pre-sorted batch inserts** - Sorts inserts by primary key before flushing for better ClickHouse insert performance - **Programmatic index generation** - `TASK_RUN_INDEX` and `PAYLOAD_INDEX` are generated from column arrays to prevent manual synchronization errors ### Files Changed - `runsReplicationService.server.ts` - Core optimization to use compact array inserts - `@internal/clickhouse` - Added `insertCompactRaw` method and tuple types - `taskRuns.ts` - Column definitions, index constants, and insert functions --------- Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com> |
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9942518e49 |
TRQL/Query improvements (#2870)
Summary - Improve query experience and safety across ClickHouse and TSQL. Changes - Display JSON columns when in non-pretty mode (no longer show [Object Object]). - Sanitize ClickHouse errors originating from TSQL. - Remove tenant details from errors. - Add AI-assisted error-fixing for queries. - Improve code quality and readability. - Provide autocomplete support for enum values. - Enforce limits on ClickHouse queries (10s query limit). - Add org-level and global concurrency limits. - Warn and train AI to avoid SELECT *; when used, only return core columns and show info. - If AI suggests no time range, default to past 7 days. - Format the default query for readability. - Add an admin-only EXPLAIN button. - Prevent impersonation queries from being saved to history. |
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49df40cb11 |
TRQL and the Query page (#2843)
TRQL (pronounced Treacle like the delicious British dark sweet syrup) is the TRiggerQueryLanguage. It allows users to safely write queries on their data. The queries are safely turned into ClickHouse queries which are tenant-safe and not SQL injectable. https://github.com/user-attachments/assets/bbfca473-b3fc-4150-8fe6-79e8840a2d29 This started out as a translation of HogQL by PostHog from Python to TypeScript. Features - Tenant safe queries. - Many underlying ClickHouse features including functions and aggregations. - Virtual columns, which are exposed to users as real columns but are actually expressions. - Transformations of data types and where clauses. - Simple JSON path querying. - Limits on execution time. - Reporting of query statistics. ## Query page There’s a new Query page (currently behind a feature flag) where you can write TRQL queries and execute them against your environment, project or organization. Features - Executing TRQL queries - Syntax highlighting and errors - Autocomplete - AI generation/editing of queries - Help and examples - Table with auto-inferred data types from the table schema - Table cell renderers for our special types like Run ids, environments, machines, tasks, queues, etc. - Copy/export as CSV/JSON - Line and bar graphs with grouping and stacking - History of queries |
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57ba2528b2 | feat(runs): use metrics instead of spans in the Runs Replication service (#2851) | ||
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3875bb292a |
feat(engine): run debounce system (#2794)
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.
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a999d9ea3f |
feat(engine): Batch trigger reloaded (#2779)
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 ``` |
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668559ec1a | fix(streams): buffer v1 streams on read to prevent split chunks (#2669) | ||
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536d9fa217 | feat(realtime): Realtime streams v2 (#2632) |