v.docker.4.5.0
209 Commits
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 github-actions[bot]
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86ef3c4979 |
chore: release v4.5.0 (#3998)
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# Trigger.dev v4.5.0
4.5.0 is the GA of the AI Agents platform. Everything built during the
prerelease line (durable agents, Sessions, AI Prompts) is now stable on
the `latest` tag, alongside a set of SDK and runtime improvements.
## AI Agents (`chat.agent`)
Run Vercel AI SDK chat completions as durable Trigger.dev tasks instead
of fragile API routes. A conversation runs as one long-lived task keyed
on `chatId`, so it survives page refreshes, network blips, redeploys,
and crashes, and every turn is a span in the dashboard.
```ts
import { chat } from "@trigger.dev/sdk/ai";
import { streamText, stepCountIs } from "ai";
import { anthropic } from "@ai-sdk/anthropic";
export const myChat = chat.agent({
id: "my-chat",
run: async ({ messages, signal }) => {
return streamText({
...chat.toStreamTextOptions(), // system prompt, compaction, steering, telemetry
model: anthropic("claude-sonnet-4-5"),
messages,
abortSignal: signal,
stopWhen: stepCountIs(15),
});
},
});
```
## Sessions
The durable primitive underneath `chat.agent`, usable on its own: a
run-aware, bidirectional stream channel keyed on a stable `externalId`
whose `.in` / `.out` streams survive run boundaries (suspend, crash,
idle-timeout, redeploy). One Session spans many runs, which makes it a
good fit for agent inboxes and approval flows.
```ts
import { sessions } from "@trigger.dev/sdk";
// Create the session and trigger its first run (idempotent on externalId)
await sessions.start({
type: "inbox",
externalId: userId,
taskIdentifier: "inbox-agent",
});
const session = sessions.open(userId);
await session.in.send({ text: "hello" });
const stream = await session.out.read({ signal: AbortSignal.timeout(30_000) });
for await (const chunk of stream) console.log(chunk); // durable across run swaps
```
## AI Prompts
Define prompt templates as code, versioned on every deploy, and override
the text or model from the dashboard without redeploying
(environment-scoped). Each generation links back to its prompt version
for usage, cost, and latency.
```ts
import { prompts } from "@trigger.dev/sdk";
import { z } from "zod";
export const supportPrompt = prompts.define({
id: "customer-support",
model: "gpt-4o",
variables: z.object({ customerName: z.string(), issue: z.string() }),
content: `You are a support agent for Acme.
Customer: {{customerName}}
Issue: {{issue}}`,
});
// Honors any active dashboard override, else the current deployed version
const resolved = await supportPrompt.resolve({ customerName: "Alice", issue: "Can't log in" });
// resolved.text, resolved.model, resolved.version
```
## `useChat` integration
`useTriggerChatTransport` is a Vercel AI SDK `ChatTransport` that runs
`useChat` over Trigger.dev realtime with no API routes. Text, tool
calls, reasoning, and `data-*` parts stream natively, and it works with
AI SDK v5, v6, and now v7.
## First-turn fast path (`chat.headStart`)
Runs the first turn in your warm server process while the agent boots in
parallel, cutting cold-start time-to-first-chunk roughly in half
(measured ~2.8s to ~1.2s). Available via the new
`@trigger.dev/sdk/chat-server` subpath.
## Human-in-the-loop, stop, and steering
The agent control surface: tool approvals (`needsApproval` +
`addToolApprovalResponse`), client-driven stop-generation, mid-execution
steering (`pendingMessages`), and between-turn context injection
(`chat.inject` / `chat.defer`), all durable across the conversation.
## Agent Skills
`skills.define({ id, path })` bundles a `SKILL.md` folder into your
deploy image. The agent gets a one-line summary up front and loads the
full instructions plus scoped `bash` / `readFile` tools on demand
(progressive disclosure), so a capability is something the model reaches
for rather than a pre-declared typed tool.
## `trigger skills` for coding assistants
`trigger skills` installs version-pinned Trigger.dev skills plus a
bundled docs snapshot into Claude Code, Cursor, GitHub Copilot, and
Codex, so your assistant's Trigger.dev knowledge stays current with your
installed SDK version. `trigger init` now offers to set up the MCP
server and skills too.
## Model library
A new Models page in the dashboard: a catalog of models grouped by
provider with context window, capabilities, and input / output pricing
per 1M tokens, plus a "Your models" tab showing per-model usage, cost,
and cache-hit sparklines from your actual traffic.
## Dev branches
Run multiple local `trigger dev` sessions in parallel (separate git
worktrees or coding agents) without runs colliding, each isolated with
its own dashboard, via `trigger dev --branch <name>`.
## `TriggerClient`
An instantiable client so one process can trigger and read across
projects, environments, and preview branches, each with its own auth and
baseURL, with no shared global state.
```ts
import { TriggerClient } from "@trigger.dev/sdk";
const prod = new TriggerClient({ accessToken: process.env.TRIGGER_PROD_KEY });
const preview = new TriggerClient({
accessToken: process.env.TRIGGER_PREVIEW_KEY,
previewBranch: "signup-flow",
});
await prod.tasks.trigger("send-email", { to: "user@example.com" });
await preview.runs.list({ status: ["COMPLETED"] });
```
## SDK and runtime
- AI SDK 7 support (v5 and v6 still supported), with OpenTelemetry
telemetry auto-wired
- Large trigger-payload offload: trigger payloads at or above 128KB
upload to object storage automatically, using the same auth and baseURL
as the trigger call
- Region support on the runs API: filter runs by region and read each
run's executing region (also on MCP `list_runs`)
- Duplicate task-id detection: `dev` and `deploy` fail with a clear
error instead of silently overwriting
- `envvars.upload` gains an `isSecret` flag to import redacted secret
variables
- Retry hardening: `TASK_MIDDLEWARE_ERROR` now retries under the task's
retry policy
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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Matt Aitken
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536731a5d6 |
feat(clickhouse): infer mixed-type JSON arrays as Array(Dynamic) on insert (#4095)
## ✅ Checklist - [ ] I have followed every step in the [contributing guide](https://github.com/triggerdotdev/trigger.dev/blob/main/CONTRIBUTING.md) - [x] The PR title follows the convention. - [ ] I ran and tested the code works --- ## Testing `pnpm run typecheck --filter @internal/clickhouse` passes. This only adds a ClickHouse input-format setting to existing insert calls; the setting affects type inference for newly-inserted/merged data and is non-destructive to existing rows. --- ## Changelog Sets `input_format_json_infer_array_of_dynamic_from_array_of_different_types = 1` on every native-JSON insert path: - `task_runs_v2` (`output`, `error`) — `insertTaskRuns`, `insertTaskRunsCompactArrays`, and the async-insert variants - `task_events_v1` / `task_events_v2` (`attributes`) - `metrics_v1` - `sessions_v1` ### Why Our JSON columns contain arrays with mixed element types (e.g. `[{"key":"value"}, "string", "string"]`). With this setting off — which is the effective default under `24.12` compatibility — ClickHouse infers those as deeply nested unnamed `Tuple(JSON, Nullable(String), …)` types. ClickHouse 26.2 introduced `input_format_binary_max_type_complexity` (default 1000), and those tuple type trees exceeded the limit, causing background merges to fail with **Code 117**. With the setting on (the default since 25.8), mixed-type arrays are inferred as a single `Array(Dynamic)` — a simpler, flatter type representation that never approaches the complexity limit, even once the upstream default limit is restored. Setting this explicitly at insert time keeps behavior deterministic and version-controlled, so it does not depend on the server profile or a future compatibility bump. This is a forward-only change: it only affects newly inserted/merged data and does not rewrite existing parts. Our read path re-serializes these columns to strings (`toJSONString` via the materialized `*_text` columns), so the internal Tuple → Array(Dynamic) representation change is transparent to the application. ### Companion server-side setting To also apply this on the ClickHouse side (covers merges and any writes not going through these code paths), set it on the default user: ```sql ALTER USER default SETTINGS input_format_json_infer_array_of_dynamic_from_array_of_different_types = 1; ``` --- ## Screenshots _N/A_ 💯 🤖 Generated with [Claude Code](https://claude.com/claude-code) https://claude.ai/code/session_01AaChyhestFMBYBWh6bgcCF --- _Generated by [Claude Code](https://claude.ai/code/session_01AaChyhestFMBYBWh6bgcCF)_ --------- Co-authored-by: Claude <noreply@anthropic.com> |
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Chris Arderne
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1e6cc19088 |
chore(webapp): upgrade @conform-to to v1 (#4044)
## Summary Upgrades the dashboard form layer from `@conform-to` 0.9 to 1.x. No behaviour change is intended; this is the conform API migration only. conform 1.x peer-depends on `zod` `^3.21 || ^4`, so it runs on the current zod 3 and is a prerequisite for upgrading the repo to zod 4: conform 0.9 imports `ZodNativeEnum`, `ZodEffects`, and `ZodPipeline`, all removed in zod 4, so the webapp cannot build against zod 4 until conform is on 1.x. Landing this first (on zod 3) keeps the zod 4 PR focused on zod alone. ## Testing Did a bunch of local smoke tests and E2E playwright tests, several rounds of different reviewers, all clean. |
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Katia Bulatova
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cd9d20cc99 |
fix(webapp): accept invites for orgs with many projects (#4043)
Invite acceptance could fail for cloud organizations with many projects because the whole flow ran inside a single transaction and did too much work before it completed. In larger orgs, that pushed the transaction past its timeout and blocked the invite from being accepted. This PR moves the expensive parts of invite acceptance out of the transaction, excludes deleted projects from environment setup, fixes error handling on /invites, and adds regression coverage for the failure cases. |
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Katia Bulatova
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cc752cc375 |
fix(webapp): fetch run-scoped trace subtrees for large traces (#4024)
Fixed trace rendering for child and nested runs in large traces. Dashboard and trace API responses now load the requested run's trace subtree instead of depending on the run span appearing in the initial trace slice. |
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Eric Allam
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c8d085a541 |
fix(webapp): clamp oversized toast messages and quiet expected pause errors (#4077)
## Summary Two robustness fixes in the dashboard's error handling, found while testing the billing-limit pause/resume flow. ## Toast cookie overflow Toast messages are flashed into the `__message` session cookie, which the session store rejects once the serialized cookie passes the browser's ~4KB limit. Any call site that flashes a raw caught error (a verbose database or validation message, for example) could turn a toast into a failed request. `setErrorMessage` / `setSuccessMessage` now clamp the message length, so a toast can never overflow the cookie. This protects every toast helper at once. ## Pause/resume reporting Resuming an environment that is paused by a billing limit is an expected, user-actionable state, but `PauseEnvironmentService` threw it, and the service's catch reports every throw at error level. It now returns that case as a failure result, so callers still surface the message to the user while genuine errors keep reporting. |
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Eric Allam
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aae1c6a512 |
fix(schedule-engine,webapp): log out-of-entitlements scheduled triggers as warnings (#4067)
## Summary When a scheduled task fires for an organization that is out of entitlements, the trigger can't proceed. That's an expected outcome, but it was being logged at error level and surfaced as a failure. ## Fix The trigger callback now classifies an out-of-entitlements result as its own error type (`OUT_OF_ENTITLEMENTS`), and the schedule engine logs both that and the existing queue-limit result as warnings rather than errors. The run still doesn't fire and the `schedule_execution_failure` metric still records the outcome (now tagged `out_of_entitlements`), so nothing about observability or behavior changes beyond the log level. |
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Matt Aitken
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d720690073 |
feat(webapp): add region override to the bulk replay action (#4022)
## Summary When replaying runs in bulk from a deployed environment, you can now choose which region the replayed runs run in. The bulk action inspector shows an "Override region" dropdown that defaults to "Don't override", which keeps each run in its original region, so replaying a selection that spans multiple regions doesn't silently re-route anything. Pick a region and every matched run is replayed there instead. The dropdown only appears for the replay action in a deployed environment with more than one region available; cancel actions and development environments don't show it. ## Design The selected region is carried through the bulk action as a dedicated `replayRegion` param, kept separate from the run-list selection filters so it can't be confused with a region selection filter. When the action runs, each replay passes it through to the existing region override on the replay service, which already falls back to each run's original region when no override is set. "Don't override" is a sentinel value that the action normalizes away so the service only ever sees a real region or nothing. --------- Co-authored-by: Eric Allam <eric@trigger.dev> |
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James Ritchie
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b2b4c510e2 |
feat(webapp): improve task and dashboard activity charts (#4064)
## Summary Improves and unifies the run-activity charts by extracting a shared set of chart primitives and adopting them on the three task landing pages (agent, standard, scheduled), with the density and label fixes also carried over to the dashboard and custom query charts. Main changes a reviewer should know about: - **Shared primitives (DRY).** New `ChartCard` (title + maximize/fullscreen), `ChartSyncContext` (cross-chart hover + zoom state), `useXAxisTicks` (width-aware tick selection), `activityTimeAxis`, and `statusColors`, plus a server-side `activitySeries.server.ts` holding `chooseBucketSeconds`, status grouping, and the zero-fill helpers. The three task routes and both presenters were refactored onto these, removing roughly 3x duplicated tick logic, status-color tables, and bucket-ladder code. - **Denser bars on short ranges.** Server-side bucketing now uses `chooseBucketSeconds` (nice-interval ladder, ~72 target, capped at 120 buckets) instead of the hardcoded 1h/6h/1d ladder, so a 5m or 1h range no longer collapses into a single bar. - **Width-aware x-axis labels.** Labels are selected to fit the measured plot width (always first + last, evenly spaced, de-duplicated by rendered text), stay horizontal, and reflow on panel/window resize. Y-axis values default to compact form (8K, 1.2M) in `ChartBar`/`ChartLine`. - **Synced hover line.** Hovering one of the agent page's three charts draws a dashed vertical line at the same bucket on the *other* two, and suppresses it on the hovered chart. It is opt-in via `ChartSyncProvider`, so single-chart pages are unaffected. - **Maximize button.** Each chart gets a fullscreen dialog toggle (reuses the existing dashboard-widget pattern, `v` shortcut while hovered). - **Drag-to-zoom on task pages.** Dragging across a task chart sets the Time/Date filter (`from`/`to` URL params, clearing `period`/`cursor`), with a From/To tooltip shown during the drag. - **Custom query charts.** Long categorical x labels (run IDs, task names) middle-truncate and auto-rotate only when needed, and label thinning is now width-aware for both bar and line variants. Dashboard line-chart label density is also width-aware, tuned by a `TIME_AXIS_LABEL_SPACING_PX` constant. - **Tests.** 46 new unit tests for the pure logic (bucket selection, tick spacing, time-axis formatting, zoom range, truncation). ## Intentionally unchanged - **No click/drag zoom on the dashboard or custom query charts.** Drag-to-zoom is wired up on the task landing pages only; zooming the dashboard and custom charts is deliberately deferred to a separate follow-up PR. A plain click (without a drag) on a task chart is a no-op. - **The 25 mini activity charts on the Task list (`_index`) page are untouched.** They are hand-rolled raw-Recharts sparklines kept deliberately lightweight and do not use these primitives. - **Other raw-Recharts sparklines are untouched** (the usage sparkline, errors and prompts pages). - **No ClickHouse query semantics changed** beyond the bucket-interval parameter (same filters, same FINAL / `_is_deleted` handling). - **Webapp-only.** No public package (`packages/*`) changes, so there is no changeset; the `.server-changes/` entries cover it. --- ## Testing Added 46 unit tests covering server-side bucket selection, width-aware tick spacing, time-axis formatting, zoom-range math, and categorical label truncation (`pnpm --filter webapp run test`), and `pnpm run typecheck --filter webapp` passes. Manually exercised each task landing page (agent, standard, scheduled) plus the dashboard and custom query charts, stepping the Date/Time filter through 5m, 1h, 24h, 7d, and 30d to confirm dense bars on short ranges, non-overlapping labels that reflow on resize, the synced hover line across the agent charts, the maximize button, and drag-to-zoom updating the filter. --- ## Changelog The activity charts on the task landing pages and the dashboard and custom query charts now share one set of reusable primitives. X-axis labels are width-aware so they never overlap and reflow when a panel resizes, y-axis values are abbreviated (8K, 1.2M), and short time ranges render dense bars instead of collapsing into a single bar. Hovering any agent chart mirrors a vertical line on the others, every chart gains a maximize button, and dragging across a task chart zooms the Time/Date filter. Long categorical labels such as run IDs and task names middle-truncate and auto-rotate only when needed. --- https://github.com/user-attachments/assets/6be09e38-3a0e-4947-b6e3-4839daa2fbe0 |
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Eric Allam
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f1bd11a7ef |
feat(webapp): gracefully shut down the v3 engine behind a flag (#4017)
## Summary Adds a single env flag, `DEPRECATE_V3_ENABLED` (default off), that gracefully winds down the v3 engine (`RunEngineVersion.V1`). While it's off nothing changes, so self-hosted instances still on v3 keep working. When it's on: - Triggers that resolve to v3 are rejected with a clear, actionable error pointing at the [v4 migration guide](https://trigger.dev/docs/migrating-from-v3), instead of silently creating runs that never execute. This covers single triggers, batches, scheduled fires, replays, and `triggerAndWait`, which all funnel through one place. - The legacy `trigger dev` websocket used by v3 CLIs is closed with an upgrade message (v4 CLIs use a different dev transport). - The v3 shared-queue consumer refuses to start, so no deployed v3 runs are dequeued. - The v3 run-lifecycle background jobs (heartbeat timeout, TTL expiry, retry, resume batch/dependency, delayed-run enqueue, and scheduled fires) become no-ops, so abandoned v3 runs stop generating database load. This builds on the existing deploy deprecation flag, which already rejects v3 CLI deploys. ## Design Enforcement is read through one helper, `isV3Disabled()`. Every gate combines it with a per-run or per-project engine check (`isV3Disabled() && engine === "V1"`), so a v4 run that happens to reach a shared service behaves exactly as before. v4 (V2) is never affected. The flag is a hard switch, not a drain: when it's on, in-flight v3 runs are abandoned in place rather than failed or expired, which is the intended behaviour for the final shutdown. |
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Katia Bulatova
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b1987dc090 |
feat(webapp): billing limits — pause, reject, recovery, and settings UI (#3996)
## Summary Adds Billing Limits to the webapp. Customers can set a monthly spend cap. When usage crosses the limit, billable environments enter a grace period. If the limit is not resolved before grace expires, new triggers are rejected until the organization increases or removes the limit. |
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Eric Allam
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5d994577d6 |
fix(webapp): stop hydration errors on the Tasks page (#4058)
The Tasks page logged a burst of React hydration errors (#421, "this Suspense boundary received an update before it finished hydrating") on every load, one per task row for the Running and Activity cells. The page still worked, but it spammed the console. The Running and Activity (24h) cells stream in via Remix `defer()` + `<Suspense>`/`<Await>`, two boundaries per row. A streamed boundary stays in React's "hydrating" state until its data arrives; if the backing queries are slow enough that the data is still in flight after the page loads, a normal background re-render (a server-sent-events update, a panel layout effect, a revalidation) hits the boundary and React bails it to client rendering and throws #421. With N rows that is 2N errors. It never reproduced locally because those queries return instantly there. Fix: wrap the two cells in `ClientOnly` so they mount after hydration. The stats still load asynchronously (the task list renders immediately), but there is no longer an SSR boundary to bail. In the slow-query case those cells already client-rendered (that was the bail); this just makes it explicit and silent. Verified by simulating slow stat queries against a local build: the errors go from 2-per-row to zero, and the cells render correctly once the data resolves. |
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Chris Arderne
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df78ef96d9 |
feat: multi dev branches (#4023)
Closes this feature request: [https://triggerdev.featurebase.app/p/isolated-dev-sessions-for-multiple-local-trigger-dev-instances](https://triggerdev.featurebase.app/p/isolated-dev-sessions-for-multiple-local-trigger-dev-instances) ### Feature notes: - CLI `trigger dev` works as before - `trigger dev --branch my-branch` to create a new branch and run against it. - `trigger dev archive --branch my-branch` to archive (or in webapp). - New webapp page to manage and archive dev branches, currently feature flagged. ### Implementation details: - No changes to data model, no backfill. `isBranchableEnvironment` column is ignored for dev branches, we use `parentEnvironmentId IS NULL` instead. - `x-trigger-branch` overloaded for preview and dev branches - New `TRIGGER_DEV_BRANCH` env var available locally. `TRIGGER_PREVIEW_BRANCH` overloaded for child runs. - Lots of new glue code to sanitise the branch checks. ### Rollout - Deploy webapp/API changes (all backwards compatible) - Manual tests on some orgs - Deploy docs, release CLI, flip feature flag for webapp feature ### NB - `api.v1.projects.$projectRef.environments.ts` will return `isBranchableEnvironment: true` for all dev environments. ### Prerequisites - [x] Typecheck will not pass until we make a new release of `@trigger.dev/platform` and bump it here |
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nicktrn
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bc605eedaf |
fix(webapp): verify deployment image exists before finalizing (#4049)
A deployment could be marked deployed and promoted to current without its image ever landing in the registry. Finalize trusted the CLI: the v1 path never pushed or checked, and the v2/v3 path skips its own push when the CLI sends `skipPushToRegistry` - which the local-build path always does. In the happy path the CLI pushes the image itself, so this stayed latent. But any deviation - `--no-push`/`--load`, a push that lands in a different registry, or an old CLI - promoted a version whose image can't be pulled, so every run failed at pull time while the deploy itself reported success. This adds a registry existence check after push and before finalize. If the image isn't there, the deploy fails loudly instead of promoting a version that can't start. The check is ECR-only (a no-op for other registries, so self-hosted setups are unaffected) and uses `BatchGetImage`, which the deploy role already allows. It fails open on an ambiguous registry error so the check can't itself turn into a deploy outage. The image reference is the platform-generated value and the lookup is bound to the configured registry host; the CLI-supplied digest is validated before use. Can be turned off with `DEPLOY_IMAGE_VERIFICATION_ENABLED=0` for setups that push images out of band (e.g. an air-gapped registry the platform can't reach). refs TRI-11243 |
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Eric Allam
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2fa84ea124 |
feat(webapp): gate worker dequeues by worker queue via env var (#4030)
## Summary Adds a `RUN_ENGINE_DEQUEUE_DISABLED_WORKER_QUEUES` setting that refuses worker dequeue requests for the listed worker queues (or base regions), so their runs stay queued instead of being handed to workers that can't run them. Blocked dequeues are counted via a `run_engine.dequeue.blocked` OTel counter (labeled by `worker_queue` and `region`). |
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Eric Allam
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8890d7a258 |
feat(run-engine,webapp): always report worker queue length metrics (#4029)
## Summary The `runqueue.workerQueue.length` gauge only reported a worker queue's depth while runs were being dequeued from it. When dequeues stop, the metric goes stale or missing, so a queue that has backed up because nothing is draining it can't be alerted on. This adds a small observer that refreshes the observed set of worker queues from the `WorkerInstanceGroup` records on an interval, so every active worker queue (and its scheduled split variant) keeps reporting its length regardless of dequeue activity. The observer is off by default and enabled per service via `RUN_ENGINE_WORKER_QUEUE_OBSERVER_ENABLED`, reads from the read replica, and skips a configurable set of cloud providers (`RUN_ENGINE_WORKER_QUEUE_OBSERVER_EXCLUDED_CLOUD_PROVIDERS`, default `digitalocean`). When enabled it is the source of truth for the observed set, so the per-dequeue registration is skipped on that instance, and it groups by worker queue so the per-instance duplicates collapse to the true depth. Also removes the unused `GET`/`POST /api/v1/workers` endpoints. Their only consumer was a CLI command group that is no longer registered. ## Verification Verified end to end against a local stack: the gauge reports each worker queue's length with no dequeues happening, excludes the configured providers, includes hidden groups, and the removed endpoints return as if they never existed. Added a run-engine test (`workerQueueObservation.test.ts`). |
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nicktrn
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2c82d4c4d1 |
feat(supervisor): add cluster pod-count dequeue backpressure source (#4027)
Adds an in-process backpressure signal that pauses dequeuing when the
Kubernetes cluster is saturated, so work overflows cheaply in the queue
instead of piling up as unschedulable pods. Saturation is read by
scraping the apiserver's total pod-object count
(`apiserver_storage_objects{resource="pods"}`) and applying an
engage/release threshold with hysteresis - a single lightweight
aggregate scrape, not a pod listing.
Backpressure sources are now evaluated independently and OR'd: each
source has its own enable and dry-run flag, and the supervisor engages
if any enabled source trips. This adds the pod-count source alongside
the existing one without changing it, and is extensible to more sources
later. Off by default.
The scrape uses the in-cluster kubeconfig over `https` so TLS verifies
against the cluster CA (the fetch-options helper attaches the CA as an
`https.Agent`, which the global `fetch` ignores - that path silently
dropped the CA). Enabling the pod-count source requires the supervisor's
service account to be granted `get` on the `/metrics` non-resource URL;
that RBAC and the per-deployment env wiring are operator-side and live
elsewhere.
New config (pod-count source):
`TRIGGER_DEQUEUE_BACKPRESSURE_POD_COUNT_ENABLED` (default false),
`_POD_COUNT_DRY_RUN` (default true), `_POD_COUNT_ENGAGE` /
`_POD_COUNT_RELEASE` (hysteresis thresholds), `_POD_COUNT_REFRESH_MS`
(scrape interval, default 5s). The existing source's flags are
unchanged.
Observability: a `supervisor_cluster_pod_count` gauge, and the pod-count
monitor's metrics are namespaced (`supervisor_backpressure_pod_count_*`)
so the existing backpressure metrics keep their names.
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James Ritchie
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bb92935c72 |
feat(webapp): update task and cached task span icons (#4014)
## Summary Refreshes the SVG artwork for the main task icon and the cached task variant shown on the run trace span view. The cached icon (previously a hardcoded blue "T" in a dashed border) now lives alongside `TaskIcon` in `TaskIcon.tsx` and is drawn with `currentColor`, so it inherits the `text-tasks` theme color like the other span icons instead of ignoring it. The standalone `TaskCachedIcon.tsx` file is removed and its two import sites updated. |
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James Ritchie
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a90a495542 |
feat(webapp,database): show a Test column for agent sessions (#4011)
## Summary Sessions started from the agent Test playground were tagged with a `"playground"` tag that rendered in the Sessions table's Tags column. They are now flagged with a real `Session.isTest` boolean (mirroring `TaskRun.isTest`) and surfaced as a dedicated **Test** column with a check icon, to the left of Tags, on both the Sessions page and the Agent landing page, plus a matching **Test** property on the session detail page. This mirrors how Standard and Scheduled task runs already indicate test runs. ## Design `isTest` is a new `Session` column (Postgres) replicated into ClickHouse `sessions_v1` alongside the existing fields. The Sessions list reads `isTest` from Postgres for display (ClickHouse only supplies the ordered session IDs), so the column renders correctly without a ClickHouse backfill. The playground action now sets `isTest: true` on session create instead of writing the `"playground"` tag. The triggered run still carries `playground:true` in its own tags (unchanged). A migration backfills existing sessions, setting `isTest = true` and stripping the now-redundant `"playground"` tag where it is present, so the list and detail views render consistently without read-time tag filtering. |
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James Ritchie
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7efdbc8c4f |
feat(webapp): update task and tasks dashboard icons (#4013)
## Summary Updates the task icons used across the dashboard. `TaskIcon` and its small variant now use a new burst glyph, and `TasksIcon` adopts the previous task glyph (the rounded square). Both still render with `currentColor`, so they inherit text color exactly as before. Export names are unchanged, so every existing usage (side menu, task and queue views, run filters) picks up the new artwork with no other code changes. |
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Eric Allam
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c6f0769299 |
fix(webapp): bound logs search memory and fix pagination at scale (#4012)
## Summary The logs search page (behind a feature flag) ran ClickHouse out of memory when browsing back over long time ranges. This keeps it within bounded memory and fixes a pagination bug that could skip or duplicate rows at a page boundary. ## Fix Memory: the list query reads in sort-key order, which opens one read stream per part in the window, and on object storage those per-part read buffers dominate peak memory, so it scaled with the number of parts scanned. Two changes bound it: - The logs ClickHouse client caps the per-part read buffers via new env-tunable settings. The object-storage-only setting is opt-in, so it is never sent to a ClickHouse version that lacks it. - Recent-first window narrowing: rows come back newest first, so the presenter probes the most recent window and only widens toward the full requested range when a page is short. A busy environment fills a page from a few recent parts instead of scanning the whole range; a quiet one still returns every row in a couple of cheap reads. Correctness: the keyset cursor ordered on (triggered_timestamp, trace_id), which is not unique because the spans of a trace share both, so rows at a tie could be skipped or duplicated across pages. The cursor and ORDER BY now include span_id, and the cursor is versioned so stale cursors reset to the first page. Guards: the effective page size is capped, and the existing per-query memory limit lets a pathological wide browse fail with an error instead of taking the node down. ## ClickHouse 26.2 The memory fix relies on lazy materialization deferring the wide attributes column to the output rows, which only holds on 26.x. Cloud already runs 26.2, so this moves the dev stack, testcontainers, and CI to match. The ClickHouse test suite passes on 26.2. 🤖 Generated with [Claude Code](https://claude.com/claude-code) |
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Daniel Sutton
|
65c545da4e |
refactor(run-store,webapp,run-engine): route Postgres TaskRun reads through the run store (#3990)
## Summary Adds read methods to `RunStore` (`findRun`, `findRunOrThrow`, `findRuns`) and routes every Postgres read of `TaskRun` through them, mirroring how writes already go through the store. Behavior-preserving: each relocated read keeps its exact query, field selection, and database client (writer, replica, or transaction). This lets `TaskRun` reads be retargeted to a different backing store later without touching call sites. Stacked on #3981 (the write adapter); that PR is the base of this one. ## Scope In scope: the run engine, webapp services, presenters, and route loaders. Three reads that pulled `TaskRun` in through a parent model's relation `include` (alert delivery, batch results, attempt-dependency cancellation) are decomposed to fetch the run(s) through the store and stitch them back, since a relation include would not follow `TaskRun` to a new table. Left reading the existing table (out of scope): the legacy MarQS paths, the legacy trigger idempotency read, and one raw-SQL recovery script (commented for revisiting at cutover). ## Notes Reads default to the read replica; callers pass the writer or a transaction client wherever the original read did, so writer-vs-replica behavior is unchanged. |
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James Ritchie
|
a6400f96bf |
feat(webapp): segmented control for the task type filter (#3985)
## Summary Replaces the multi-select popover task type filter on the Tasks page with a single-select segmented control: **All** plus icon-only **Agent**, **Standard**, and **Scheduled** segments. Each segment has a tooltip showing its label and a number-key shortcut (0-3), and the search field no longer autofocuses so the shortcuts work on page load. ## ✅ Checklist - [x] I have followed every step in the [contributing guide](https://github.com/triggerdotdev/trigger.dev/blob/main/CONTRIBUTING.md) - [x] The PR title follows the convention. - [x] I ran and tested the code works |
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Oskar Otwinowski
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e98a547e6c | feat(sso): SAML/OIDC single sign-on (#3911) | ||
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James Ritchie
|
3fdfe214ed |
chore(webapp): add currency unit to agent LLM spend chart label (#3988)
## ✅ Checklist - [x] I have followed every step in the [contributing guide](https://github.com/triggerdotdev/trigger.dev/blob/main/CONTRIBUTING.md) - [x] The PR title follows the convention. - [x] I ran and tested the code works --- ## Testing Ran the webapp locally with the change applied; it compiles and serves. The edit only swaps the chart card title string from "LLM spend" to "LLM spend ($)" on the agent landing page. --- ## Changelog The agent dashboard "LLM spend" chart label now includes the currency unit, reading "LLM spend ($)". --- ## Screenshots _[Screenshots]_ 💯 |
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Matt Aitken
|
5740955357 |
feat(webapp): enforce RBAC permissions on run, prompt, member, and billing routes (#3948)
## Summary Several dashboard routes performed actions a restricted role should not be able to do (cancel or replay runs, manage prompt versions, invite and manage members, manage billing) without any permission check. This adds role-based permission enforcement to those routes, and disables the matching UI controls (with a tooltip) when the current role lacks permission. Covered actions: - Runs: cancel and replay (single, bulk create, bulk abort) - Prompts: create or edit override versions, and promote a version to current - Members: invite, resend invite, revoke invite - Billing: change plan, billing alerts, and the customer portal ## How Each affected route now goes through the `dashboardLoader` / `dashboardAction` route builders with an `authorization` block declaring the required permission (or a per-intent check where one route handles several intents). Existing tenancy and data-scoping queries are untouched; this only layers permission checks on top. The UI follows disable-don't-hide: controls stay visible but disabled with a "You don't have permission to ..." tooltip. Two reusable pieces support this: `checkPermissions(ability, checks)` turns a set of checks into a boolean map a loader returns to the client, and `PermissionButton` / `PermissionLink` disable the underlying control and show a tooltip when a permission flag is false. ## Behaviour No change in the default configuration: permissions are permissive, so every control stays enabled and every route behaves as before. The checks only take effect when an RBAC plugin is installed. This also makes role assignment on invite-accept non-fatal, so a failure there cannot block joining an org. Verified with `pnpm run typecheck --filter webapp`; `checkPermissions` has unit tests. |
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Daniel Sutton
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d34b699950 |
fix(webapp): capture Prisma infra errors and obfuscate leaked messages (#3960)
## Summary Prisma infrastructure failures (P1xxx-class: database unreachable, timed out, connection dropped, engine init/panic) carry the database hostname in their `.message`. This captures them centrally for observability and ensures they never reach API clients verbatim. ## Design A `$allOperations` client extension on the writer and replica clients logs infrastructure errors with the originating model and operation, then rethrows the **original** error unchanged — call sites that branch on `error.code` (unique-violation idempotency, not-found handling) and transaction retries keep working. Only infrastructure errors are logged; routine query/validation errors (P2xxx) are left alone. `$allOperations` can't see the transaction boundary (`$transaction` is a client method, not an operation), so infrastructure errors surfacing from `$transaction()` without a Prisma code — e.g. `PrismaClientInitializationError` — are logged separately at the transaction wrapper, where the existing coded-error path would otherwise miss them. `clientSafeErrorMessage()` swaps an infrastructure error's message for `"Internal Server Error"` at the API routes that previously returned `error.message` raw. Status codes, headers, and every non-infrastructure message are unchanged. ## Test plan - [x] P2002 / P2025 rethrow with code intact and are not logged - [x] Statement errors inside `$transaction` keep their code (retry logic intact) - [x] Raw queries wrapped without crashing on the undefined model - [x] A genuine connectivity failure is logged with model/operation/code - [x] `clientSafeErrorMessage` obfuscates infra messages, preserves all others - [x] `pnpm run typecheck --filter webapp` (12/12) ## Note Overlaps with #3391 (Prisma 7 migration) on `apps/webapp/app/db.server.ts` — coordinate rebasing. |
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nicktrn
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6bdf800a11 |
feat(clickhouse): replicate run plan type to task_runs_v2 (#3978)
Replicates `TaskRun.planType` into the `task_runs_v2` ClickHouse table so run analytics can group by plan type. Adds a `plan_type` column (goose migration `033`, `LowCardinality(String)`), the replication insert mapping, and the matching schema/column/type entries - same shape as the recent `region` addition. Write-once at trigger, so it just rides along on existing replicated rows. Internal analytics only; not exposed in the Query API. |
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github-actions[bot]
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015106d7fa |
chore: release v4.5.0-rc.7 (#3932)
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## Summary 7 improvements. ## Improvements - `@trigger.dev/sdk` now bundles the Trigger.dev agent skills and a curated snapshot of the docs those skills reference. The skills that `trigger skills` installs into your coding agent read this content from node_modules, so the guidance your AI assistant follows is pinned to the SDK version installed in your project and stays current across upgrades instead of going stale until the next reinstall. ([#3937](https://github.com/triggerdotdev/trigger.dev/pull/3937)) - Running a CLI command like `dev`, `deploy`, `preview`, or `update` before initializing a project no longer crashes with a raw `Cannot find matching package.json` stack trace. The CLI now detects the missing project and points you to `npx trigger.dev@latest init` instead. ([#3929](https://github.com/triggerdotdev/trigger.dev/pull/3929)) - The agent skills installed by `trigger skills` are now namespaced with a `trigger-` prefix (e.g. `trigger-authoring-tasks`, `trigger-getting-started`) so they don't collide with unrelated skills in your coding agent's skills directory. Adds a `trigger-cost-savings` skill for auditing and reducing compute spend (right-sizing machines, `maxDuration`, batching, debounce), and `@trigger.dev/sdk` now bundles the full Trigger.dev documentation so your agent can read the complete, version-pinned reference directly from node_modules. ([#3970](https://github.com/triggerdotdev/trigger.dev/pull/3970)) - The run span API response now includes `cachedCost` and `cacheCreationCost` on the `ai` object, alongside the existing `inputCost` / `outputCost` / `totalCost`. `inputCost` reflects only the non-cached input, so these fields let you reconstruct the full cost breakdown for prompt-cached calls. ([#3958](https://github.com/triggerdotdev/trigger.dev/pull/3958)) - `chat.headStart` now works with the `chat.customAgent` and `chat.createSession` backends, not only `chat.agent`. The warm step-1 response hands over to your loop the same way it does for a managed agent. ([#3963](https://github.com/triggerdotdev/trigger.dev/pull/3963)) In a `chat.customAgent` loop, consume the handover on turn 0: ```ts const conversation = new chat.MessageAccumulator(); const { isFinal, skipped } = await conversation.consumeHandover({ payload }); if (skipped) return; // warm handler aborted, so exit without a turn if (isFinal) { await chat.writeTurnComplete(); // step 1 is the response, no streamText } else { const result = streamText({ model, messages: conversation.modelMessages, tools }); // Pass originalMessages so the handed-over tool round merges into the // step-1 assistant instead of starting a new message. const response = await chat.pipeAndCapture(result, { originalMessages: conversation.uiMessages, }); if (response) await conversation.addResponse(response); } ``` With `chat.createSession`, the iterator surfaces it as `turn.handover`; call `turn.complete()` with no argument on a final handover. The lower-level `chat.waitForHandover()` and `accumulator.applyHandover()` are also exported for hand-rolled loops. - Cache your chat agent's system prompt with Anthropic prompt caching. `chat.toStreamTextOptions()` now emits the system prompt as a cacheable message when you opt in, so a large, stable system block is billed at cache-read rates on every turn instead of full price. ([#3952](https://github.com/triggerdotdev/trigger.dev/pull/3952)) ```ts // at the streamText call site (Anthropic sugar) streamText({ ...chat.toStreamTextOptions({ cacheControl: { type: "ephemeral" } }), messages, }); // provider-agnostic equivalent chat.toStreamTextOptions({ systemProviderOptions: { anthropic: { cacheControl: { type: "ephemeral" } } }, }); // or where the prompt is defined chat.prompt.set(SYSTEM_PROMPT, { providerOptions: { anthropic: { cacheControl: { type: "ephemeral" } } }, }); ``` Without an option, `system` stays a plain string. Pairs with a `prepareMessages` cache breakpoint to cache the conversation prefix across turns too. - Three fixes for custom agent loops (`chat.customAgent`, `chat.createSession`, and hand-rolled `MessageAccumulator` loops): ([#3936](https://github.com/triggerdotdev/trigger.dev/pull/3936)) - Continuation runs no longer replay already-answered user messages into the first turn. The `.in` resume cursor is now seeded before any listener attaches (the same boot logic `chat.agent` uses), so a chat that continues after a cancel, crash, or upgrade only sees genuinely new messages. - Steering a hand-rolled loop mid-stream no longer wipes the in-flight assistant response. `chat.pipeAndCapture` now stamps a server-generated message id on the stream, so a `prepareStep` injection keeps the partial text instead of replacing the message. - Task-backed tools (`ai.toolExecute`) now work from custom agent loops: the parent's session is threaded to the child run, so child tasks can stream progress into the chat with `chat.stream.writer({ target: "root" })` instead of failing with "session handle is not initialized". <details> <summary>Raw changeset output</summary> ⚠️⚠️⚠️⚠️⚠️⚠️ `main` is currently in **pre mode** so this branch has prereleases rather than normal releases. If you want to exit prereleases, run `changeset pre exit` on `main`. ⚠️⚠️⚠️⚠️⚠️⚠️ # Releases ## @trigger.dev/build@4.5.0-rc.7 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.7` ## trigger.dev@4.5.0-rc.7 ### Patch Changes - `@trigger.dev/sdk` now bundles the Trigger.dev agent skills and a curated snapshot of the docs those skills reference. The skills that `trigger skills` installs into your coding agent read this content from node_modules, so the guidance your AI assistant follows is pinned to the SDK version installed in your project and stays current across upgrades instead of going stale until the next reinstall. ([#3937](https://github.com/triggerdotdev/trigger.dev/pull/3937)) - Running a CLI command like `dev`, `deploy`, `preview`, or `update` before initializing a project no longer crashes with a raw `Cannot find matching package.json` stack trace. The CLI now detects the missing project and points you to `npx trigger.dev@latest init` instead. ([#3929](https://github.com/triggerdotdev/trigger.dev/pull/3929)) - The agent skills installed by `trigger skills` are now namespaced with a `trigger-` prefix (e.g. `trigger-authoring-tasks`, `trigger-getting-started`) so they don't collide with unrelated skills in your coding agent's skills directory. Adds a `trigger-cost-savings` skill for auditing and reducing compute spend (right-sizing machines, `maxDuration`, batching, debounce), and `@trigger.dev/sdk` now bundles the full Trigger.dev documentation so your agent can read the complete, version-pinned reference directly from node_modules. ([#3970](https://github.com/triggerdotdev/trigger.dev/pull/3970)) - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.7` - `@trigger.dev/build@4.5.0-rc.7` - `@trigger.dev/schema-to-json@4.5.0-rc.7` ## @trigger.dev/core@4.5.0-rc.7 ### Patch Changes - The run span API response now includes `cachedCost` and `cacheCreationCost` on the `ai` object, alongside the existing `inputCost` / `outputCost` / `totalCost`. `inputCost` reflects only the non-cached input, so these fields let you reconstruct the full cost breakdown for prompt-cached calls. ([#3958](https://github.com/triggerdotdev/trigger.dev/pull/3958)) ## @trigger.dev/python@4.5.0-rc.7 ### Patch Changes - Updated dependencies: - `@trigger.dev/sdk@4.5.0-rc.7` - `@trigger.dev/core@4.5.0-rc.7` - `@trigger.dev/build@4.5.0-rc.7` ## @trigger.dev/react-hooks@4.5.0-rc.7 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.7` ## @trigger.dev/redis-worker@4.5.0-rc.7 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.7` ## @trigger.dev/rsc@4.5.0-rc.7 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.7` ## @trigger.dev/schema-to-json@4.5.0-rc.7 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.7` ## @trigger.dev/sdk@4.5.0-rc.7 ### Patch Changes - `@trigger.dev/sdk` now bundles the Trigger.dev agent skills and a curated snapshot of the docs those skills reference. The skills that `trigger skills` installs into your coding agent read this content from node_modules, so the guidance your AI assistant follows is pinned to the SDK version installed in your project and stays current across upgrades instead of going stale until the next reinstall. ([#3937](https://github.com/triggerdotdev/trigger.dev/pull/3937)) - `chat.headStart` now works with the `chat.customAgent` and `chat.createSession` backends, not only `chat.agent`. The warm step-1 response hands over to your loop the same way it does for a managed agent. ([#3963](https://github.com/triggerdotdev/trigger.dev/pull/3963)) In a `chat.customAgent` loop, consume the handover on turn 0: ```ts const conversation = new chat.MessageAccumulator(); const { isFinal, skipped } = await conversation.consumeHandover({ payload }); if (skipped) return; // warm handler aborted, so exit without a turn if (isFinal) { await chat.writeTurnComplete(); // step 1 is the response, no streamText } else { const result = streamText({ model, messages: conversation.modelMessages, tools }); // Pass originalMessages so the handed-over tool round merges into the // step-1 assistant instead of starting a new message. const response = await chat.pipeAndCapture(result, { originalMessages: conversation.uiMessages, }); if (response) await conversation.addResponse(response); } ``` With `chat.createSession`, the iterator surfaces it as `turn.handover`; call `turn.complete()` with no argument on a final handover. The lower-level `chat.waitForHandover()` and `accumulator.applyHandover()` are also exported for hand-rolled loops. - Add `triggerConfig` support to `chat.headStart()` and `chat.openSession()`, so the auto-triggered handover-prepare run inherits tags, queue, machine, and other session trigger options the same way `chat.createStartSessionAction()` does. The `chat:{chatId}` tag is prepended automatically. ([#3963](https://github.com/triggerdotdev/trigger.dev/pull/3963)) ```ts export const POST = chat.headStart({ agentId: "my-agent", triggerConfig: { tags: ["org:acme"], queue: "chat" }, run: async ({ chat }) => streamText({ ...chat.toStreamTextOptions(), model }), }); ``` Because the session is created once on the first head-start turn and is idempotent on the chat id, this is the only place to set those options for a head-start chat's lifetime. `chat.createStartSessionAction()` now also forwards `maxDuration`, `region`, and `lockToVersion` so both session entry points stay consistent. - Cache your chat agent's system prompt with Anthropic prompt caching. `chat.toStreamTextOptions()` now emits the system prompt as a cacheable message when you opt in, so a large, stable system block is billed at cache-read rates on every turn instead of full price. ([#3952](https://github.com/triggerdotdev/trigger.dev/pull/3952)) ```ts // at the streamText call site (Anthropic sugar) streamText({ ...chat.toStreamTextOptions({ cacheControl: { type: "ephemeral" } }), messages, }); // provider-agnostic equivalent chat.toStreamTextOptions({ systemProviderOptions: { anthropic: { cacheControl: { type: "ephemeral" } } }, }); // or where the prompt is defined chat.prompt.set(SYSTEM_PROMPT, { providerOptions: { anthropic: { cacheControl: { type: "ephemeral" } } }, }); ``` Without an option, `system` stays a plain string. Pairs with a `prepareMessages` cache breakpoint to cache the conversation prefix across turns too. - Three fixes for custom agent loops (`chat.customAgent`, `chat.createSession`, and hand-rolled `MessageAccumulator` loops): ([#3936](https://github.com/triggerdotdev/trigger.dev/pull/3936)) - Continuation runs no longer replay already-answered user messages into the first turn. The `.in` resume cursor is now seeded before any listener attaches (the same boot logic `chat.agent` uses), so a chat that continues after a cancel, crash, or upgrade only sees genuinely new messages. - Steering a hand-rolled loop mid-stream no longer wipes the in-flight assistant response. `chat.pipeAndCapture` now stamps a server-generated message id on the stream, so a `prepareStep` injection keeps the partial text instead of replacing the message. - Task-backed tools (`ai.toolExecute`) now work from custom agent loops: the parent's session is threaded to the child run, so child tasks can stream progress into the chat with `chat.stream.writer({ target: "root" })` instead of failing with "session handle is not initialized". - The agent skills installed by `trigger skills` are now namespaced with a `trigger-` prefix (e.g. `trigger-authoring-tasks`, `trigger-getting-started`) so they don't collide with unrelated skills in your coding agent's skills directory. Adds a `trigger-cost-savings` skill for auditing and reducing compute spend (right-sizing machines, `maxDuration`, batching, debounce), and `@trigger.dev/sdk` now bundles the full Trigger.dev documentation so your agent can read the complete, version-pinned reference directly from node_modules. ([#3970](https://github.com/triggerdotdev/trigger.dev/pull/3970)) - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.7` ## @trigger.dev/plugins@4.5.0-rc.7 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.7` </details> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> |
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nicktrn
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7aa871f37b |
feat(webapp): plan-aware compute migration (#3957)
Adds an opt-in mechanism to route a configurable percentage of organizations onto the compute (MicroVM) backing of their region at trigger time, without changing their stored region settings. Routing is gated by three global feature flags - `computeMigrationEnabled`, `computeMigrationFreePercentage`, `computeMigrationPaidPercentage` - plus a per-org `computeMigrationEnabled` override that wins in both directions. A region's compute backing is resolved from a new `WorkerInstanceGroup.region` column: a container group and its MicroVM group share one geo `region`, so the migration swaps the resolved worker queue to the backing group's queue. Orgs are bucketed deterministically by id, so ramping a percentage down keeps a strict subset rather than reshuffling, and a region with no compute backing is never touched. Everything is off by default - behaviour is unchanged unless the flags are set. The flags and the worker-region groups are read on the trigger hot path from in-memory snapshots rather than the database: a small `createReloadingRegistry` helper loads each at startup and refreshes them on an interval, so no per-trigger query is added and a percentage or kill-switch change propagates within the reload interval. A cold replica whose snapshot hasn't loaded yet reads as not-migrated (the container path) and self-corrects on the next load - the same cold-start contract as the datastore / LLM-pricing registries, with a `reloading_registry_loaded` metric so a never-loaded registry is alertable. The same migration decision is consulted at deploy-time template creation so a migrated org gets a compute template built ahead of its first run. This runs in shadow mode (best-effort, never fails the deploy) by default, or - when the `computeMigrationRequireTemplate` flag is on - in required mode, built synchronously at deploy so the first run never builds on-demand and template errors surface at deploy time. So operators keep "which runs ran where" while customers only see geography: the run's actual worker queue is stored raw, and the geo region is stamped separately on `TaskRun.region` (and a new ClickHouse `region` column) at trigger time. Read surfaces - the dashboard, the API, and the Query/Logs page - show the geo region, falling back to the worker queue for runs written before the column existed. Minor follow-ups left out of scope: the percentage flags render as text inputs on the admin flags page (the catalog UI has no numeric control type yet), and `createReloadingRegistry` could later gain pub/sub for sub-second cross-replica propagation if the reload interval proves too slow. |
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James Ritchie
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5f2d437eb5 |
fix(webapp): Fix for task page search bar re-rendering bug (#3971)
## Summary Typing in the search bar on the task page could clear or reset the input mid-keystroke. This fixes the re-render race so the field stays stable while you type. ## Root cause Two things compounded: - `SearchInput`'s sync effect depended on `text`, so it re-ran on every keystroke and could overwrite the input with the URL/controlled value while focused. - Each task row unmounted and remounted its activity chart during the side-panel open/close animation (25 charts at once), forcing heavy re-renders that the search effect raced against. ## Fix - `SearchInput` now tracks the last synced value in a ref instead of comparing against `text`, keeping the effect off the keystroke path. It only writes to state when the incoming URL/controlled value actually changes, and never while the input is focused. - Activity charts are now hidden (`hidden` attribute) instead of unmounted during the panel animation, so the rows don't churn the tree and the resize stays smooth. --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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Eric Allam
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07a0e4ade9 |
feat(webapp): split Models into Your models and Model library tabs (#3958)
## Summary The Models page is now split into two tabs. **Your models** shows the models your project has actually used in the selected time range, with usage charts (cost over time, tokens over time, calls by model), a per-model table of calls / cost / avg TTFC / avg tokens-per-sec, and calls/tokens trend sparklines. **Model library** is the full catalog, reordered from alphabetical to a relevance-based provider order (Anthropic, OpenAI, Google, then the rest), newest models first within each provider, with a "New" badge on models released in the last 7 days. One time-range selector drives the whole Your models tab, so the charts, the table, and the sparklines all share the same window. Opening a model shows its own metrics with an independent range picker and a "View in AI metrics" link that opens the AI metrics dashboard filtered to that model. The active tab is kept in the URL so it survives a refresh and is shareable. ## Prompt caching & cost accuracy Both the Your models tab and the AI metrics dashboard now surface prompt-cache usage: a cache-savings column plus per-model cached-tokens and cache-hit-rate views, and a caching section on the dashboard (hit rate, cached tokens, estimated savings, and hit rate by model). Building this surfaced a cost bug. `input_tokens` is the total prompt count and already includes cache-read and cache-creation tokens, but the cost pipeline charged the full input at the input price and then added a separate cache line, so cached tokens were billed twice (and on Anthropic, cache reads were never discounted because their price is keyed differently). The input price now applies only to the non-cached remainder, with cache prices resolved across the provider-specific keys, so LLM cost and the cache hit-rate metric are accurate. Hit rate is computed as cached reads over total input. ## Notes Also fixes React "invalid DOM property" console warnings from the provider icons (the Llama and DeepSeek SVGs used raw `fill-rule` / `clip-rule` / `clip-path` attributes), which this page surfaces by rendering more provider icons. ## Screenshots **Your models tab:** usage charts and a per-model table with calls/tokens trend sparklines. <img width="2560" height="1267" alt="1-your-models-tab" src="https://github.com/user-attachments/assets/859bd24f-9047-4828-8bbb-83e5882846d6" /> **Model library:** provider-relevance ordering with a "New" badge on models released in the last 7 days. <img width="2560" height="1267" alt="2-model-library-tab" src="https://github.com/user-attachments/assets/46dd54b9-80f9-4922-ade9-5935b08dfebc" /> **Model detail, Metrics tab:** per-model range picker and a "View in AI metrics" link. <img width="2560" height="1267" alt="3-model-detail-metrics" src="https://github.com/user-attachments/assets/0f65d9d0-6142-4918-93f0-110bb277101a" /> **View in AI metrics:** the dashboard deep-linked and filtered to the selected model. <img width="2560" height="1267" alt="4-ai-metrics-filtered" src="https://github.com/user-attachments/assets/821f256c-e305-493c-98c7-eafaf2f57f83" /> |
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Oskar Otwinowski
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cf4aa7e918 |
fix(webapp): Vercel env var sync rejecting batches containing only reserved keys (#3966)
Fix Vercel onboarding wizard to properly filter out reserved TRIGGER_ env vars |
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Saadi Myftija
|
002b8458d5 |
feat(supervisor): verify warm-start delivery, cold-start silently lost dispatches (#3918)
⚒️ Publish Worker (v4) / build (supervisor) (push) Has been cancelled
### Problem Firestarter's `didWarmStart: true` means the response was written to a long-poll socket — not that the runner received it. A silently dead poller (no FIN, e.g. a VM torn down mid-poll) leaves the dispatched run stuck in `PENDING_EXECUTING` until the run engine's heartbeat redrive, and each redrive burns a queue redelivery toward `TASK_RUN_DEQUEUED_MAX_RETRIES`. ### Change After a warm-start hit, the supervisor retains the `DequeuedMessage` (TimerWheel, default 10s), then probes the existing `getLatestSnapshot` API. If the run is still on the exact dequeued snapshot, no runner ever acted — it falls through to the regular cold-create path. Recovery: ~10s + cold start, no new APIs, no CLI changes. - **Double-start safe**: `startRunAttempt` runs under a per-run lock and 409s stale snapshot ids, so a reviving runner and the fallback workload can't both execute; the loser exits before running anything. - **Probe errors → do nothing**: healthy runners legitimately act late during platform brownouts (nested attempt-start retries), so falling back on uncertainty would stampede duplicates. The heartbeat redrive stays as the backstop (also covers supervisor restarts dropping timers). - **Off by default**: `TRIGGER_WARM_START_VERIFY_ENABLED` (+ `TRIGGER_WARM_START_VERIFY_DELAY_MS`, 1–60s, default 10s). Disabled = complete no-op. Works for all workload managers (compute/k8s/docker) since it hooks the shared dequeue path. - Emits `warmstart.verify` wide events (`outcome: delivered | fallback | probe_error`), making the silent-loss rate directly measurable. |
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Chris Arderne
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19c0763a1e |
chore(webapp): prevent db:seed script hang (#3962)
Currently the `db:seed` script just hangs on success. This PR adds `process.exit(0)` to the finally block after db disconnect so the script exits properly. --------- Co-authored-by: Chris Arderne <chris@trigger.dev> |
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Katia Bulatova
|
530b388fc5 |
feat(webapp): hide self-serve billing UI for managed-billing orgs (#3898)
### Summary Self-serve billing UI is now hidden for managed-billing organizations. Plan pickers, upgrade actions, billing alerts, and related upgrade prompts are replaced with a "Contact us" option where appropriate. Uses the new showSelfServe subscription flag, defaulting to true for existing self-serve organizations. ### Testing - [x] billing pages render correctly for self-serve organizations. - [x] managed-billing organizations no longer see self-serve upgrade flows. - [x] "Contact us" actions are shown instead of upgrade actions where applicable. ### Changelog Hide self-serve billing flows for managed-billing organizations behind the new showSelfServe subscription flag. |
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James Ritchie
|
af526dea18 |
feat(webapp): chat AI UI improvements, new task landing pages and side menu (#3941)
Major dashboard restructure plus the new task landing pages and self-serve schedules add-on integration. ## Side menu - Full restructure: standalone Tasks / Runs / Sessions block at the top; new collapsible sections for AI, Observability, Deployments, Manage - Persisted collapse state per section in `dashboardPreferences` - New / updated icons across the menu - Dashboards section: built-in Run metrics + AI metrics + custom dashboards, with drag-to-reorder via ReactGridLayout (`DashboardList.tsx`) - DevPresence connection indicator in the env selector (DEV + V2) ## Tasks (`_index` — unified Tasks page) - Replaces the separated Agents / Standard / Schedules listing pages with one table - New `UnifiedTaskListPresenter` composes `TaskListPresenter` + `AgentListPresenter` (shared `currentWorker` lookup) - Columns: Type (with kind badge), ID, File, Running (numeric for tasks; running + suspended pills for agents), Activity (24h stacked-by-status), sticky menu - Search + "Task type" multi-select filter (URL-synced) - Client-side pagination at 25/page - Right-hand "useful links" panel (cookie-persisted state) - Live-reload SSE: page revalidates on `WORKER_CREATED` so onboarding `trigger dev` flips the blank state automatically ## Agent landing page (`/agents/$agentParam`) - New per-agent detail page - Top tabs (Sessions / Runs) toggle both the chart panel and the table - Three dashboard-style chart cards: Sessions/Runs activity, LLM spend, Tokens - `AgentDetailPresenter` queries ClickHouse for run activity, session activity (with FINAL on `sessions_v1`), and LLM cost/token activity from `llm_metrics_v1` - TimeFilter at the top drives all three charts - Sticky table header, resizable horizontal handle, sidebar with Test agent button + properties - Docs link → `ai-chat/overview` ## Standard Task landing page (`/tasks/standard/$taskParam`) - New per-task detail page mirroring the Agent layout - `TaskDetailPresenter` for activity + properties - Chart panel wrapped in a Card with "Runs by status" header - Top bar with title, TimeFilter, pagination - Right sidebar: Test task + identifier, queue, machine, retry, TTL, payload schema, etc. ## Scheduled Task landing page (`/tasks/scheduled/$taskParam`) - New per-task detail page mirroring the Agent / Standard layout - Top-bar actions (right → left): pagination, Bulk replay…, View all runs, TimeFilter, Create schedule - Connected schedules mini-table in the sidebar - **Self-serve schedules add-on integration** (reincarnated from the now-removed `/schedules` listing page during the `origin/main` merge): - Bottom usage bar pinned via `grid-rows-[auto_1fr_auto]` — progress ring + "X/Y of your schedules" + Purchase / Upgrade / Request CTA - At-limit "Create schedule" intercept dialog - `PurchaseSchedulesModal` extracted as a shared component (`apps/webapp/app/components/schedules/PurchaseSchedulesModal.tsx`) handling increase / decrease / above-quota / need-to-delete states - New resource action route at `/resources/orgs/$organizationSlug/schedules-addon` ## Sessions - Index page: list, filters, blank state, help tooltip rework - Detail page: combined input/output chronological view (replaces split tabs) - Improved raw-message view layout (full-height) - AI payload UI: `data-*` parts grouped under "AI SDK data parts:" label - `toSafeUrl` helper guards rendered URLs from streamed content - Fix: duplicate assistant content on inspector tab switch ## Playground (Test agent) - Restructured top menu; back button + agent-selector popover - Improved blank state - Recent agent chat history moved into the tabbed menu - Better message-scroll container (full height) ## Dashboards - New Dashboards landing page (`/dashboards`) — Run metrics, AI metrics, Create your own CTAs - `BuiltInDashboards` updated; new `TasksDashboardPresenter` for the tasks overview - Custom dashboards section gains drag-to-reorder; cosmetic fix for active-row drag-handle blending ## PageHeader / shared primitives - `PageTitle` gains an `accessory` prop supporting string (auto-wrapped in tooltip) and ReactNode - Help tooltips on Tasks, Runs, Sessions PageTitles explaining the concept and sub-categories - `Card` primitive used for dashboard-style chart panels throughout ## Code review fixes (last batch on this branch) - ClickHouse activity queries hardened: `FINAL` + `_is_deleted = 0` on `task_runs_v2` (ReplacingMergeTree); `organization_id` + `project_id` filters for sort-key prefix; `inserted_at` partition filter on `llm_metrics_v1` - `UnifiedTaskListPresenter`: shared `currentWorker` lookup; slug-collision guard in `mergeRunningStates`; off-by-one fixed in 24h bucket alignment - `ScheduleListPresenter`: halved platform RPCs by deriving limit from `currentPlan` instead of calling `getLimit` - Sessions detail: stopped IntersectionObserver / scroll listener re-attach on every chunk; `requestAnimationFrame` deferral on auto-scroll to avoid virtualizer race - URL hardening: `?types=` validated against known kinds; new `parseFiniteInt` helper applied to `from`/`to`/`page` params - AgentView: HITL resolution buffer now cleared once parts reach a terminal state (was an unbounded Map on long sessions); subscription effect deps documented with eslint suppression - `PurchaseSchedulesModal`: bundle state resets on each open instead of persisting stale drafts ## Manual testing Manual smoke-test plan is tracked under [TRI-10883](https://linear.app/triggerdotdev/issue/TRI-10883), broken into 20 sub-issues covering onboarding, self-serve schedules, side menu, the four landing pages, sessions, runs, dashboards, regressions and performance. 🤖 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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Eric Allam
|
ef998a518b |
fix(webapp): make native realtime change publishing fail-safe (#3946)
Two defensive fixes to the native realtime backend's run-change publishing (behind a feature flag, off by default), so turning it on can never destabilize the run lifecycle. **Never throws at the caller.** Publish sites run synchronously on the run-engine event bus and the metadata flush loop. The internal publish was already wrapped in try/catch, but lazy construction (singleton + metrics) and record encoding ran before that guard, so a throw could propagate into a run lifecycle operation. The public `publishChangeRecord` / `publishManyChangeRecords` helpers now wrap the whole call and log-and-drop on failure. **Bounds outage buffering.** The publisher connection caps `maxRetriesPerRequest` at 1 (vs ioredis's default of 20), so during a pub/sub Redis outage a publish rejects after ~1 reconnect cycle instead of holding commands in memory for ~20s. A dropped publish is latency-only, since the consumer has a periodic backstop full-resolve. The offline queue stays on, so the first publish after a process boots still flushes once the connection is ready. |
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Daniel Sutton
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a7312b1b86 |
fix(webapp): stop logging expected auth/restore conditions as errors (#3931)
Two expected, non-failure conditions were being logged at `error` level, which surfaces them as exceptions in error tracking and adds noise without signal. This downgrades both to `warn`. The first is the checkpoint-restore path when a `RESTORE` event already exists for a checkpoint — a benign idempotency skip on a duplicate or retried event. The second is the `/api/v1/token` endpoint when the authorization code is invalid or expired, which is the expected steady state while the CLI polls the endpoint during login; genuinely unexpected failures there still log at `error`. No behavior or response changes — the token endpoint still returns 400 in the same cases. |
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Katia Bulatova
|
85d93ffe0e |
perf(webapp): skip queue search count (#3925)
### Summary Queue searches previously executed both a count query and a page query with identical filters. This PR switches filtered searches to `hasMore` pagination, removing the extra count query while preserving existing search behavior. ### Testing cd apps/webapp && pnpm run test ./test/queueListSearch.test.ts --run passes ### Changelog Improve filtered queue search performance. |
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Eric Allam
|
034058bce1 |
feat(webapp): add task metadata cache resolution metrics (#3934)
## Summary Adds observability to the task metadata cache that backs the trigger hot path. Follow-up to #3930, which made locked-version triggers fall back to the primary when the read replica returns no row; this makes the cache's effectiveness (and that fallback) measurable instead of inferred. ## What it emits A single bounded counter `task_meta_cache.resolve`, labeled by lookup path (`locked` / `current`) and the source that satisfied it (`cache` / `replica` / `writer` / `miss`): - `cache / total` is the cache hit rate (its inverse is how cold the cache runs). - `writer / total` is how often the read replica returned empty for a row the primary had (the condition #3930 recovers from). Labels are bounded, with no per-env / worker / slug cardinality. TRI-10873 |
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Saadi Myftija
|
8b405711ac |
feat(supervisor): workload create duration histogram with backend and outcome labels (#3928)
Adds a `workload_create_duration_seconds` Prometheus histogram to the supervisor, observed around the workload manager `create()` call: - `backend` label: `kubernetes` | `compute` | `docker` — set once from the configured workload manager - `outcome` label: `success` | `error` — the per-outcome counts double as a create error rate Registered on the supervisor's existing metrics registry, so it's exposed on the existing `/metrics` endpoint with no config changes. Notes: - Covers cold creates only; warm starts and restores return before reaching `create()`. - A create may include backend-internal retries, so one observation can span multiple attempts. - Fixed low cardinality: 2 active label sets per deployment × 10 buckets. |
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Eric Allam
|
52320679ab |
fix(webapp): stop locked-version triggers failing on stale replica reads (#3930)
## Summary `triggerAndWait` (and other locked-version triggers) could intermittently fail with `Task '<id>' not found on locked version '<version>'` for a task that was registered on that version. The failures came in bursts and recovered on their own, so a retry minutes later would succeed. ## Root cause For a locked-version trigger, the queue resolver looks up the task's `BackgroundWorkerTask` metadata from the read replica (behind a Redis cache). On a cache miss it queried the replica, and a `null` result was treated as "task not registered" and turned into a non-retryable 422. A read replica can return an empty result for a row that already exists on the primary, so a momentarily-behind replica produced a false negative even though the locked worker (resolved on the primary in the same request) clearly had the task. ## Fix On a cache miss, when the replica returns no row the resolver now re-checks the primary before concluding the task is missing. If the primary has the row it is used (and the cache is back-filled); the error fires only when the primary genuinely lacks it, which is the only case where the 422 is correct. The extra read happens on the cache-miss-and-replica-empty path only, so the hot path is unchanged. Verified with a unit test (replica stub vs. real primary) and end-to-end against a local streaming replica with replication paused to reproduce the stale read. TRI-10868 |
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github-actions[bot]
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5fab8cafcf |
chore: release v4.5.0-rc.6 (#3870)
🚀 Publish Trigger.dev Docker / units (push) Failing after 4s
🚀 Publish Trigger.dev Docker / typecheck (push) Failing after 5s
🚀 Publish Trigger.dev Docker / publish-worker-v4 (push) Has been skipped
🚀 Publish Trigger.dev Docker / scan-webapp (push) Has been skipped
🚀 Publish Trigger.dev Docker / publish-webapp (push) Has been skipped
🚀 Publish Trigger.dev Docker / publish-worker (push) Has been skipped
🧭 Helm Chart Release / lint-and-test (push) Has been cancelled
🧭 Helm Chart Release / release (push) Has been cancelled
🚀 Publish Trigger.dev Docker / 📣 Dispatch main image (push) Has been cancelled
## Summary 7 improvements, 1 bug fix. ## Improvements - `trigger init` now sets up your AI coding assistant as part of project setup: pick the MCP server, the agent skills, or both, then scaffold with the CLI or hand off to your assistant. Adds a new `getting-started` agent skill that teaches assistants how to bootstrap Trigger.dev (install the SDK, write `trigger.config.ts`, create a first task, run `trigger dev`), so the AI-driven setup path works end to end. It ships in the CLI alongside the existing skills, version-matched to your SDK. ([#3872](https://github.com/triggerdotdev/trigger.dev/pull/3872)) - `dev` and `deploy` now fail with a clear error when two tasks are defined with the same id, including across different task types (e.g. a scheduled task and a regular task sharing an id). Previously the second definition silently overwrote the first, so one of the tasks would vanish with no warning. Task ids are detected as duplicates during indexing (naming each offending id and the files it was found in), and the same rule is enforced server-side when the background worker is registered. ([#3865](https://github.com/triggerdotdev/trigger.dev/pull/3865)) - `trigger skills` installs Trigger.dev agent skills into your coding agent so it knows how to write tasks, schedules, realtime, and chat.agent code. The skills ship with the CLI and are copied into each tool's native skills directory (Claude Code, Cursor, GitHub Copilot, and Codex / AGENTS.md), and `trigger dev` offers to install them on first run. ([#3868](https://github.com/triggerdotdev/trigger.dev/pull/3868)) - Reliability fixes for `chat.agent`. A user message sent while the agent is streaming is no longer delivered twice (which could run a duplicate turn), input appends now carry an idempotency key so a retried send can't duplicate a message, stopping a generation clears the streaming state so a page reload doesn't replay the stopped turn, and runs can now carry the full set of dashboard tags instead of being silently truncated. `onTurnComplete` now fires on errored turns (with the thrown error attached) and the failed turn's user message is persisted so it isn't lost on the next run. Custom agents and manual `chat.writeTurnComplete` callers now trim the output stream, sending a custom action no longer leaves a second stream reader running, and a long-lived `watch` subscription no longer grows its dedupe set without bound. ([#3891](https://github.com/triggerdotdev/trigger.dev/pull/3891)) - Continuation chat boots no longer stall for around 10 seconds before the first turn. The `session.in` resume cursor is now found with a non-blocking records read instead of draining an SSE long-poll (which always waited out its full 5 second inactivity window, twice per boot), the boot reads run concurrently, and chat snapshots carry the cursor so subsequent boots skip the scan entirely. ([#3907](https://github.com/triggerdotdev/trigger.dev/pull/3907)) - Record client-side dequeue API latency in the supervisor consumer pool as a Prometheus histogram (`queue_consumer_pool_dequeue_duration_seconds`, labelled by `outcome`: success/empty/error). ([#3887](https://github.com/triggerdotdev/trigger.dev/pull/3887)) - Add `GetProjectEnvironmentsResponseBody` and `ProjectEnvironment` schemas for the new `GET /api/v1/projects/{projectRef}/environments` endpoint, which lists the parent environments (dev, staging, preview, prod) a personal access token can access for a project. Dev is scoped to the token owner and branch (preview child) environments are excluded. ([#3880](https://github.com/triggerdotdev/trigger.dev/pull/3880)) ## Bug fixes - Fix two `chat.createSession()` bugs: stopping a generation no longer wedges the run (the turn loop raced a `totalUsage` promise that never settles after a stop-abort), and continuation runs now wait for the next message instead of invoking the model with an empty prompt. ([#3920](https://github.com/triggerdotdev/trigger.dev/pull/3920)) <details> <summary>Raw changeset output</summary> ⚠️⚠️⚠️⚠️⚠️⚠️ `main` is currently in **pre mode** so this branch has prereleases rather than normal releases. If you want to exit prereleases, run `changeset pre exit` on `main`. ⚠️⚠️⚠️⚠️⚠️⚠️ # Releases ## @trigger.dev/build@4.5.0-rc.6 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.6` ## trigger.dev@4.5.0-rc.6 ### Patch Changes - `trigger init` now sets up your AI coding assistant as part of project setup: pick the MCP server, the agent skills, or both, then scaffold with the CLI or hand off to your assistant. Adds a new `getting-started` agent skill that teaches assistants how to bootstrap Trigger.dev (install the SDK, write `trigger.config.ts`, create a first task, run `trigger dev`), so the AI-driven setup path works end to end. It ships in the CLI alongside the existing skills, version-matched to your SDK. ([#3872](https://github.com/triggerdotdev/trigger.dev/pull/3872)) - `dev` and `deploy` now fail with a clear error when two tasks are defined with the same id, including across different task types (e.g. a scheduled task and a regular task sharing an id). Previously the second definition silently overwrote the first, so one of the tasks would vanish with no warning. Task ids are detected as duplicates during indexing (naming each offending id and the files it was found in), and the same rule is enforced server-side when the background worker is registered. ([#3865](https://github.com/triggerdotdev/trigger.dev/pull/3865)) - `trigger skills` installs Trigger.dev agent skills into your coding agent so it knows how to write tasks, schedules, realtime, and chat.agent code. The skills ship with the CLI and are copied into each tool's native skills directory (Claude Code, Cursor, GitHub Copilot, and Codex / AGENTS.md), and `trigger dev` offers to install them on first run. ([#3868](https://github.com/triggerdotdev/trigger.dev/pull/3868)) ```bash trigger skills --target claude-code ``` Replaces the previous `install-rules` command, which stays as an alias. - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.6` - `@trigger.dev/build@4.5.0-rc.6` - `@trigger.dev/schema-to-json@4.5.0-rc.6` ## @trigger.dev/core@4.5.0-rc.6 ### Patch Changes - Reliability fixes for `chat.agent`. A user message sent while the agent is streaming is no longer delivered twice (which could run a duplicate turn), input appends now carry an idempotency key so a retried send can't duplicate a message, stopping a generation clears the streaming state so a page reload doesn't replay the stopped turn, and runs can now carry the full set of dashboard tags instead of being silently truncated. `onTurnComplete` now fires on errored turns (with the thrown error attached) and the failed turn's user message is persisted so it isn't lost on the next run. Custom agents and manual `chat.writeTurnComplete` callers now trim the output stream, sending a custom action no longer leaves a second stream reader running, and a long-lived `watch` subscription no longer grows its dedupe set without bound. ([#3891](https://github.com/triggerdotdev/trigger.dev/pull/3891)) - Continuation chat boots no longer stall for around 10 seconds before the first turn. The `session.in` resume cursor is now found with a non-blocking records read instead of draining an SSE long-poll (which always waited out its full 5 second inactivity window, twice per boot), the boot reads run concurrently, and chat snapshots carry the cursor so subsequent boots skip the scan entirely. ([#3907](https://github.com/triggerdotdev/trigger.dev/pull/3907)) - Record client-side dequeue API latency in the supervisor consumer pool as a Prometheus histogram (`queue_consumer_pool_dequeue_duration_seconds`, labelled by `outcome`: success/empty/error). ([#3887](https://github.com/triggerdotdev/trigger.dev/pull/3887)) - `dev` and `deploy` now fail with a clear error when two tasks are defined with the same id, including across different task types (e.g. a scheduled task and a regular task sharing an id). Previously the second definition silently overwrote the first, so one of the tasks would vanish with no warning. Task ids are detected as duplicates during indexing (naming each offending id and the files it was found in), and the same rule is enforced server-side when the background worker is registered. ([#3865](https://github.com/triggerdotdev/trigger.dev/pull/3865)) - Add `GetProjectEnvironmentsResponseBody` and `ProjectEnvironment` schemas for the new `GET /api/v1/projects/{projectRef}/environments` endpoint, which lists the parent environments (dev, staging, preview, prod) a personal access token can access for a project. Dev is scoped to the token owner and branch (preview child) environments are excluded. ([#3880](https://github.com/triggerdotdev/trigger.dev/pull/3880)) ## @trigger.dev/python@4.5.0-rc.6 ### Patch Changes - Updated dependencies: - `@trigger.dev/sdk@4.5.0-rc.6` - `@trigger.dev/core@4.5.0-rc.6` - `@trigger.dev/build@4.5.0-rc.6` ## @trigger.dev/react-hooks@4.5.0-rc.6 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.6` ## @trigger.dev/redis-worker@4.5.0-rc.6 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.6` ## @trigger.dev/rsc@4.5.0-rc.6 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.6` ## @trigger.dev/schema-to-json@4.5.0-rc.6 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.6` ## @trigger.dev/sdk@4.5.0-rc.6 ### Patch Changes - Reliability fixes for `chat.agent`. A user message sent while the agent is streaming is no longer delivered twice (which could run a duplicate turn), input appends now carry an idempotency key so a retried send can't duplicate a message, stopping a generation clears the streaming state so a page reload doesn't replay the stopped turn, and runs can now carry the full set of dashboard tags instead of being silently truncated. `onTurnComplete` now fires on errored turns (with the thrown error attached) and the failed turn's user message is persisted so it isn't lost on the next run. Custom agents and manual `chat.writeTurnComplete` callers now trim the output stream, sending a custom action no longer leaves a second stream reader running, and a long-lived `watch` subscription no longer grows its dedupe set without bound. ([#3891](https://github.com/triggerdotdev/trigger.dev/pull/3891)) - Continuation chat boots no longer stall for around 10 seconds before the first turn. The `session.in` resume cursor is now found with a non-blocking records read instead of draining an SSE long-poll (which always waited out its full 5 second inactivity window, twice per boot), the boot reads run concurrently, and chat snapshots carry the cursor so subsequent boots skip the scan entirely. ([#3907](https://github.com/triggerdotdev/trigger.dev/pull/3907)) - Fix `chat.headStart` when `hydrateMessages` is registered. The warm route's step-1 partial now reaches the agent's accumulator on the hydrate path, so `onTurnComplete` carries the full first turn (the head-start user message included), tool-call handovers resume from step 2 instead of re-running step 1, and the assistant `messageId` stays stable across the handover. ([#3907](https://github.com/triggerdotdev/trigger.dev/pull/3907)) - Preserve reasoning parts across the `chat.headStart` handover. Extended-thinking models' step-1 reasoning now lands in the durable session history (and `onTurnComplete`) under the same assistant `messageId`, with provider metadata intact so Anthropic thinking signatures survive replays. ([#3907](https://github.com/triggerdotdev/trigger.dev/pull/3907)) - Fix two `chat.createSession()` bugs: stopping a generation no longer wedges the run (the turn loop raced a `totalUsage` promise that never settles after a stop-abort), and continuation runs now wait for the next message instead of invoking the model with an empty prompt. ([#3920](https://github.com/triggerdotdev/trigger.dev/pull/3920)) - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.6` ## @trigger.dev/plugins@4.5.0-rc.6 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.6` </details> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> |
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Eric Allam
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a04cdffda6 |
fix(webapp): stop replica lag from double-triggering session runs and 404ing fresh sessions (#3914)
## Summary Two read-replica races on the session APIs could break chats whose first activity lands inside the replication window (or any time the replica lags): 1. A session's first `.in` append or `.out` subscribe could fail with a 404 for a session that exists on the writer, because the route resolved the Session row on the replica only. 2. `ensureRunForSession` probed run liveness on the replica, so a probe miss on a run triggered moments earlier was judged "run is dead" and a second live run was spawned for the same session. Both runs then consumed the same input stream, producing duplicated turns and doubled responses (and doubled LLM cost). ## Fix Liveness now re-probes the writer before declaring the current run dead (the old code already fell back to the writer, but only to recover the friendlyId, after the wrong verdict was made). Session resolution on the append and subscribe/init routes goes through a new `resolveSessionWithWriterFallback`, which stays replica-first on the hot path and only touches the writer on a miss. Reproduced and verified against a local streaming replica with an artificial apply delay: pre-fix, a send immediately after session creation reliably produced either the 404 or two executing runs with a doubled response; post-fix, the same flow produces exactly one run and one response. Also rides along: the local docker replica's default apply delay drops from 150ms to a realistic 20ms (override via `REPLICA_APPLY_DELAY` when you want to deliberately widen the race window). |
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Matt Aitken
|
f48c89752c |
perf(webapp): parallelize streaming batch-item ingest (#3777)
## Problem
The item-streaming endpoint of the two-phase batch API (`POST
/api/v3/batches/:batchId/items`) processed streamed items strictly
sequentially. For a batch of many large payloads, each offloaded to
object storage inline, this serialized N object-store round-trips inside
a single request and could exceed Node's default `server.requestTimeout`
(300s). The webapp then returned `408`, which the SDK reads as `408
terminated` and retries up to 5 times, turning a slow ingest into a
failure that takes tens of minutes to surface.
## Fix
Ingest now runs through `p-map` over the NDJSON async iterable with
bounded concurrency (`STREAMING_BATCH_INGEST_CONCURRENCY`, default 10):
- `p-map` pulls lazily from the stream, so at most `concurrency` items
are read and in-flight at once. Peak memory stays bounded to roughly
`concurrency × STREAMING_BATCH_ITEM_MAXIMUM_SIZE` and request-body
backpressure is preserved.
- Set the env to `1` for fully sequential ingestion (escape hatch).
## Why this is safe (ordering and idempotency unchanged)
- Ordering derives from each item's index (enqueue `timestamp =
batch.createdAt + index`), not enqueue order.
- Dedup is atomic per index in `enqueueBatchItem`.
- The NDJSON parser now stamps oversized-item markers with their emit
position, removing the consumer's sequential `lastIndex` assumption (the
only order-dependent bit).
- The count-check and conditional-seal path is untouched.
## Scope
This speeds up every batch ingested through the streaming endpoint, not
just large-payload batches. Each item does a per-item Redis enqueue
regardless of size, and those now overlap. Large payloads benefit most
because they add an object-store offload round-trip on top of the
enqueue.
## Verification
Added an integration test (`streamBatchItems.test.ts`) that drives the
real service against Postgres + Redis + RunEngine and times a 150-item
batch at increasing concurrency. Object-store offload is modelled as a
fixed per-item latency (local round-trips are too small to compare
meaningfully):
```
runCount=150
large payloads (10ms/item offload):
concurrency=1 1739ms
concurrency=10 192ms (9.1x faster)
concurrency=50 57ms (30.7x faster)
small payloads (Redis enqueue only, no offload):
concurrency=1 90ms
concurrency=10 24ms (3.7x faster)
```
The test asserts correctness at every concurrency (all items accepted,
sealed, enqueued exactly once), that parallel ingest beats the
sequential floor, and that the small-payload case is strictly faster
than sequential, so the win is not specific to large payloads.
Also exercised end-to-end over real HTTP against a local server: a
20-item batch (12MB body) ingests and seals, a re-stream of the sealed
batch returns `sealed: true` with zero re-accepted items (idempotent
retry), and an oversized item still seals at its correct index.
Existing coverage stays green: concurrent ingest of a 100-item batch,
in-flight processing never exceeding the configured concurrency,
concurrent dedup on streaming retry, and emit-position marker indexing.
## Follow-ups (not in this PR)
- SDK pre-offload of large item payloads (send `application/store` refs
instead of raw blobs) to remove object-store work from the request hot
path and shrink the request body.
- Optional `server.requestTimeout` bump as a safety net.
## CI fix
Added `.github/workflows/codeql.yml` to replace GitHub's automatic
("dynamic") CodeQL scanning. The dynamic setup was failing to upload
SARIF results because the auto-generated `GITHUB_TOKEN` lacked the
`security-events: write` permission. The explicit workflow grants that
permission at the job level and pins all actions to commit SHAs,
consistent with the repo's security conventions.
## ✅ Checklist
- [ ] I have followed every step in the [contributing
guide](https://github.com/triggerdotdev/trigger.dev/blob/main/CONTRIBUTING.md)
- [ ] The PR title follows the convention.
- [ ] I ran and tested the code works
---
## Testing
- Integration test (`streamBatchItems.test.ts`) validates correctness
and performance at concurrency 1, 10, and 50 for both large and small
payloads.
- End-to-end verified over real HTTP: 20-item/12MB batch ingests and
seals, idempotent retry returns `sealed: true`, oversized item seals at
correct index.
---
## Changelog
Streaming batch ingest now processes items with bounded concurrency
instead of one at a time, so batches of many large payloads ingest far
faster and no longer time out. Concurrency is configurable via
`STREAMING_BATCH_INGEST_CONCURRENCY` (default 10); set it to 1 for fully
sequential ingestion.
---
## Screenshots
_[Screenshots]_
💯
---------
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
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|
Eric Allam
|
954ee5c572 |
fix(webapp): deliver realtime changes with current content when the read replica lags (#3910)
## Summary When the realtime runs feed (the backend behind the `realtimeBackend` feature flag) hydrates a change from a Postgres read replica, the read can race the replica's apply of the very write that triggered it. The delivered row then carries the previous change's content, and an isolated final change (for example a last `metadata.set` before a run goes quiet) is not corrected until the roughly 20 second backstop poll. Measured against a replica with deliberate apply delay, every delivery trailed exactly one change behind and a final change stranded for the full backstop interval. ## Fix Publishers stamp each change record with the committed row's `updatedAt`, taken from writes they already perform, so the stamp costs no extra queries. The router delays its wake hydrate until the replica's measured lag has passed, anchored to that timestamp: a record that has already spent longer than the lag in transit is hydrated immediately, so only the racing leading edge ever waits. After hydrating, a tripwire compares each row against its record's watermark. Still-stale rows are withheld and retried briefly, and each detection feeds the lag estimate. If retries run out, the rows are delivered anyway (liveness over freshness) and follow-up re-hydrates emit the fresh version through the normal working-set diff once the replica catches up, with the backstop as the terminal net. Replica lag is sampled reader-side only, and only while feeds are active. Aurora reports live lag via `aurora_replica_status()`; vanilla Postgres can only report "caught up or not" (mid-apply lag is not honestly measurable from a replica), so tripwire observations floor the estimate there. Deployments without a replica resolve to zero lag and skip the gate entirely. Tunables live under `REALTIME_BACKEND_NATIVE_REPLICA_LAG_*`, and `realtime_native.stale_hydrates` plus `realtime_native.replica_lag_estimate_ms` make replica health observable. Two adjacent fixes: a metadata update that writes nothing no longer publishes a change record, and buffered parent and root metadata operations now publish when the flusher writes them, so those changes wake live feeds instead of waiting for the backstop. For local testing, `docker-compose` gains an opt-in `database-replica` service (compose profile `replica`) with a configurable `recovery_min_apply_delay`, which reproduces replica-lag behavior deterministically. With the gate disabled this rig reproduces the one-change-behind delivery exactly; with it enabled, deliveries arrive with current content at roughly the true replica lag, across write rates faster and slower than the lag itself. |
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|
Eric Allam
|
8dc77c0ccd |
fix(webapp): only load env var values for displayed environments (#3903)
## Summary The environment variables page loaded every variable value in the project, unfiltered by environment. Archiving a preview branch does not delete its environment variable value rows, so projects that churn preview branches accumulate values forever, and every page view loaded all of them. On large projects this made the page loader take many seconds and stalled the server while deserializing the oversized result. ## Fix The presenter now loads the displayed environments first and filters the `values` relation to those environment IDs. That matches the display semantics exactly (per-user dev environments and active branch environments included), and the lookup is covered by the existing unique index on `(variableId, environmentId)`. Values in archived branch environments are no longer fetched at all. Covered by a new testcontainers test asserting that values from active environments (including branch environments) are returned while archived branch environments are excluded. |
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|
Eric Allam
|
187c0476c3 |
perf(webapp): shrink run trace loader payload and add trace span cap controls (#3906)
## Summary The run trace page loader serialized every span's raw OTel events (with full properties) into the response, even though the tree UI only renders the derived `timelineEvents` and the span detail panel refetches what it needs. On event-heavy traces that inflated both the loader payload and the server-side heap copies built per request. This PR keeps raw span events server-side and pairs that with a few related trace-view improvements: - A new optional `TRACE_VIEW_EMERGENCY_SPAN_CAP` env var (unset by default) clamps the trace summary and detailed trace summary span limits on both event store paths, including the public run trace endpoint, so operators can bound trace query sizes in one place without retuning the per-store limits. - The TreeView virtualizer resolved every rendered row with a linear scan over the whole tree (and `getNodeProps` did the same via `findIndex`); rows now resolve through memoized id lookup maps, which matters once traces reach tens of thousands of spans. - The run stream SSE lookup now applies the same organization membership scoping as the rest of the run page presenters, for consistency. Behavior is unchanged by default: the trace tree renders from the same `timelineEvents` it always has, and the new cap only takes effect when set. |
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|
DKP
|
93b4715967 |
feat(webapp): hipaa baa add-on on paid pricing tiers (#3904)
## Summary HIPAA BAA is offered as a paid add-on on every paid plan. Each paid tier on the in-app pricing card now has a "HIPAA BAA add-on" row with a "Request a BAA" link that opens the existing contact dialog pre-filled with a new `hipaa` inquiry type, prompting the user for their company name and a brief description of the PHI workload. The contact form's `feedbackTypes` are restructured to match the marketing /contact form: every inquiry type carries a Plain label ID and a "Contact form: ..." thread title, so threads land in Plain identically whether they come from the dashboard or the marketing site. The included-compute line on each tier also picks up the credits wording from the marketing pricing page, and the Enterprise tier lifts its title above the features row. |