max-compute-seconds
7257 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 Matt Aitken
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e785924d5d |
fix(cli): resolve maxComputeSeconds in validateConfig for bypass cases
If a user exports a trigger.config plain object without going through defineConfig() (TypeScript allows it), validation previously rejected the new maxComputeSeconds field with an error mentioning maxDuration. Mirror the SDK boundary's resolution at the CLI boundary so downstream internals (which still read maxDuration) keep working. |
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Matt Aitken
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11fc7a2297 | Updated the error and link to the docs | ||
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Matt Aitken
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2588556b44 |
chore(references): use maxComputeSeconds in hello-world for manual testing
- trigger.config.ts: top-level maxComputeSeconds - example.ts: per-task maxComputeSeconds on maxDurationTask - example.ts: per-trigger override on triggerAndWait Variable name maxDurationTask kept since it labels the legacy fixture concept; the payload.maxDuration field is unrelated to the SDK property and untouched. |
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Matt Aitken
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785460f6cd | chore: changeset for maxComputeSeconds | ||
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Matt Aitken
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73c9a40e2f | feat(cli): use maxComputeSeconds in init templates | ||
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Matt Aitken
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ee662cb79c | test(sdk): cover maxComputeSeconds precedence in defineConfig and helper | ||
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Matt Aitken
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9206b98a63 |
feat(sdk): resolve maxComputeSeconds at user-facing boundaries
- defineConfig: resolves maxComputeSeconds ?? maxDuration into maxDuration - new resolveMaxComputeSeconds helper for shared.ts - task definitions, trigger and batchTrigger options funnel through helper Internal references to maxDuration (run engine, queues, DB) are unchanged. |
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Matt Aitken
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bed21070e5 | feat(core): add maxComputeSeconds, deprecate maxDuration in user-facing types | ||
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Eric Allam
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c80b85e2cf |
docs(ai-chat): atomic onTurnComplete writes + Anthropic prose (#3693)
## Summary Three post-merge fixes for the AI Agents docs (#3226), all caught by review after merge. ## Fixes - **`onTurnComplete` examples now use `db.$transaction`** — both the Database persistence "Complete example" and the Lifecycle hooks reference example were doing two separate `await` calls (`db.chat.update` then `db.chatSession.upsert`). That's the exact non-atomic pattern the warning earlier on the persistence page calls out as ❌: a refresh between the two writes reads a stale `lastEventId` and duplicates the assistant message on resume. Both examples now use the recommended atomic form. - **Background injection self-review prose aligned with the code** — the prose said "gpt-4o-mini" but the example above it had been swapped to `claude-haiku-4-5`. The Anthropic-sweep script only touched code blocks; this prose line wasn't picked up. ## Test plan - [x] Both updated examples use `db.$transaction([...])` - [x] Prose matches the model used in the code block - [ ] Mintlify deployment passes |
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Eric Allam
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80bb600cd5 |
docs(ai-chat): AI Agents documentation for v4.5 (#3226)
## Summary Lands the full AI Agents documentation surface alongside the v4.5 release candidate of `@trigger.dev/sdk`. Covers `chat.agent` end to end — defining agents, lifecycle hooks, the frontend transport, sub-agents, recovery from cancel/crash/OOM, AI Prompts integration — and the Sessions primitive that backs it. ## Coverage - **Conceptual**: Overview, Quick Start, How it works. - **Building agents**: Backend (`chat.agent` / `chat.createSession` / raw primitives), Lifecycle hooks, Frontend transport, Server-side `AgentChat`, Sessions reference, `chat.local` state primitive, TypeScript types. - **Features**: AI Prompts integration, Fast starts (Preload + Head Start), Compaction, Pending Messages (steering), Background Injection (`chat.inject` + `chat.defer`), Actions (undo / regenerate / edit), Error handling. - **Patterns (13)**: Sub-agents, Branching conversations, Code sandbox, Database persistence, Persistence and replay, HITL, Tool result auditing, Large payloads, Agent skills, OOM resilience, Recovery boot, Trusted edge signals, Version upgrades. - **Reference**: API Reference, Client Protocol (wire format), Testing harness (`mockChatAgent`), MCP server tools, Upgrade guide, Changelog. ## Structure changes - Top-level nav: AI → **Agents**, with sub-groups for *Building agents / Features / Patterns / Reference*. - New RC banner snippet on every page links to the supported AI SDK versions table on the API Reference. - All examples use Anthropic with `stopWhen: stepCountIs(15)`. --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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github-actions[bot]
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0b5b817a49 |
chore: release v4.5.0-rc.1 (#3691)
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## Summary 2 bug fixes. ## Bug fixes - Fix `chat.agent` skills silently missing in `trigger dev` for projects whose task files read `process.env` at module top level (e.g. a third-party SDK client initialized at import). Skill folders now bundle into `.trigger/skills/` reliably regardless of which env vars are set when the CLI launches. ([#3690](https://github.com/triggerdotdev/trigger.dev/pull/3690)) - Fix `COULD_NOT_FIND_EXECUTOR` when a task's definition is loaded via `await import(...)` from inside another task's `run()`. The runtime workers now register such tasks with a sentinel file context, and the catalog logs a one-time warning per task id. ([#3688](https://github.com/triggerdotdev/trigger.dev/pull/3688)) <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.1 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.1` ## trigger.dev@4.5.0-rc.1 ### Patch Changes - Fix `chat.agent` skills silently missing in `trigger dev` for projects whose task files read `process.env` at module top level (e.g. a third-party SDK client initialized at import). Skill folders now bundle into `.trigger/skills/` reliably regardless of which env vars are set when the CLI launches. ([#3690](https://github.com/triggerdotdev/trigger.dev/pull/3690)) - Fix `COULD_NOT_FIND_EXECUTOR` when a task's definition is loaded via `await import(...)` from inside another task's `run()`. The runtime workers now register such tasks with a sentinel file context, and the catalog logs a one-time warning per task id. ([#3688](https://github.com/triggerdotdev/trigger.dev/pull/3688)) - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.1` - `@trigger.dev/build@4.5.0-rc.1` - `@trigger.dev/schema-to-json@4.5.0-rc.1` ## @trigger.dev/core@4.5.0-rc.1 ### Patch Changes - Fix `COULD_NOT_FIND_EXECUTOR` when a task's definition is loaded via `await import(...)` from inside another task's `run()`. The runtime workers now register such tasks with a sentinel file context, and the catalog logs a one-time warning per task id. ([#3688](https://github.com/triggerdotdev/trigger.dev/pull/3688)) ## @trigger.dev/plugins@4.5.0-rc.1 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.1` ## @trigger.dev/python@4.5.0-rc.1 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.1` - `@trigger.dev/build@4.5.0-rc.1` - `@trigger.dev/sdk@4.5.0-rc.1` ## @trigger.dev/react-hooks@4.5.0-rc.1 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.1` ## @trigger.dev/redis-worker@4.5.0-rc.1 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.1` ## @trigger.dev/rsc@4.5.0-rc.1 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.1` ## @trigger.dev/schema-to-json@4.5.0-rc.1 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.1` ## @trigger.dev/sdk@4.5.0-rc.1 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.1` </details> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>helm-v4.5.0-rc.1 v.docker.4.5.0-rc.1 v4.5.0-rc.1 |
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Eric Allam
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5ddb81ac8d |
fix(cli): stop chat.agent skills silently disappearing from trigger dev (#3690)
## Summary `trigger.dev dev` was silently dropping registered `chat.agent` skills for any project whose task files read `process.env` at module top level — e.g. a third-party SDK client initialized at import. The agent would boot fine, but `skill.local()` failed at runtime with `ENOENT` because the skill folder was never copied into `.trigger/skills/`. ## Design The CLI ran two indexer passes in dev: the worker's own indexer (with the full env it eventually executes tasks in), and a separate skill-discovery indexer with only the CLI process's env. Top-level reads of vars like `TRIGGER_API_URL` imported cleanly in the worker pass and threw in the skill pass — the latter caught the error, warned, and skipped skill copying. Failure was silent enough that `skill.local()` only surfaced it at task runtime. The skill registry is already part of the worker manifest. This PR drops the duplicate pass and copies skill folders from that manifest after the worker initializes. One indexer instead of two; a bad `SKILL.md` now surfaces as a startup error instead of silently disappearing skills. Deploy is unaffected — its skill discovery uses the project's environment variables (fetched via the API, which fills in `TRIGGER_API_URL` etc.), so the dev failure mode doesn't reach there. ## Test plan - [x] New `references/agent-skills` reference project with `skills.define` + a task that calls `skill.local()` and runs a bundled script - [x] On `main`, adding a top-level `process.env.TRIGGER_API_URL!.includes(...)` read in any task file reproduces the symptom: warning at dev startup, no `.trigger/skills/` folder, `skill.local()` fails with ENOENT - [x] On this branch, same project boots clean and `skill.local()` works end-to-end - [x] Deploy still works end-to-end with the new reference project |
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nicktrn
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dbf9b4e7e5 |
fix(core,cli): register tasks loaded via dynamic import during run (#3688)
On a warm worker process, a task whose `task()` definition is loaded via `await import(...)` from inside another task's `run()` could end up permanently missing from the catalog: the `task()` call fired with no `_currentFileContext` set, `registerTaskMetadata` silently returned, and Node's ESM module cache then blocked the worker's setContext + re-import recovery from ever firing the call again. Subsequent runs of that task on the same warm process failed with `COULD_NOT_FIND_EXECUTOR` until the process hit `maxExecutionsPerProcess` and exited. All five of these had to coincide on the same worker for the bug to surface: 1. `processKeepAlive` enabled (so catalog state survives across runs). 2. A `run()` function (or lifecycle hook) does `await import(...)`. 3. The import's transitive static graph reaches a `task()` / `schemaTask()` call. 4. The task containing the dynamic import is the **first** task to run on a given warm worker process — so the dropped `task()` calls fire on this process for the first time, are silently dropped, and Node's module cache locks the wrong outcome in. 5. A subsequent run for one of the dropped task ids lands on the same warm worker before it recycles. The runtime workers now set a sentinel file context (`<no-context>`) around the `executor.execute(...)` call, so `task()` invocations firing during a run register normally. The catalog detects the sentinel and emits a one-time `console.warn` per task id so the pattern stays visible without spamming. The indexer never sets this context, so deploy-time behavior is unchanged. Repro is `references/hello-world/src/trigger/dynamicImportRepro*.ts`. Verified end-to-end against a deployed image with firestarter warm-starts on: pre-fix saw `COULD_NOT_FIND_EXECUTOR` on children that landed on the parent-poisoned worker; post-fix all 23/23 runs succeeded and the warning surfaces in the parent's run trace. |
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github-actions[bot]
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acfba02409 |
chore: release v4.5.0-rc.0 (#3563)
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## Summary 44 improvements, 1 bug fix. ## Improvements - **AI Prompts** — define prompt templates as code alongside your tasks, version them on deploy, and override the text or model from the dashboard without redeploying. Prompts integrate with the Vercel AI SDK via `toAISDKTelemetry()` (links every generation span back to the prompt) and with `chat.agent` via `chat.prompt.set()` + `chat.toStreamTextOptions()`. ([#3629](https://github.com/triggerdotdev/trigger.dev/pull/3629)) - **Code-defined, deploy-versioned templates** — define with `prompts.define({ id, model, config, variables, content })`. Every deploy creates a new version visible in the dashboard. Mustache-style placeholders (`{{var}}`, `{{#cond}}...{{/cond}}`) with Zod / ArkType / Valibot-typed variables. - **Dashboard overrides** — change a prompt's text or model from the dashboard without redeploying. Overrides take priority over the deployed "current" version and are environment-scoped (dev / staging / production independent). - **Resolve API** — `prompt.resolve(vars, { version?, label? })` returns the compiled `text`, resolved `model`, `version`, and labels. Standalone `prompts.resolve<typeof handle>(slug, vars)` for cross-file resolution with full type inference on slug and variable shape. - **AI SDK integration** — spread `resolved.toAISDKTelemetry({ ...extra })` into any `generateText` / `streamText` call and every generation span links to the prompt in the dashboard alongside its input variables, model, tokens, and cost. - **`chat.agent` integration** — `chat.prompt.set(resolved)` stores the resolved prompt run-scoped; `chat.toStreamTextOptions({ registry })` pulls `system`, `model` (resolved via the AI SDK provider registry), `temperature` / `maxTokens` / etc., and telemetry into a single spread for `streamText`. - **Management SDK** — `prompts.list()`, `prompts.versions(slug)`, `prompts.promote(slug, version)`, `prompts.createOverride(slug, body)`, `prompts.updateOverride(slug, body)`, `prompts.removeOverride(slug)`, `prompts.reactivateOverride(slug, version)`. - **Dashboard** — prompts list with per-prompt usage sparklines; per-prompt detail with Template / Details / Versions / Generations / Metrics tabs. AI generation spans get a custom inspector showing the linked prompt's metadata, input variables, and template content alongside model, tokens, cost, and the message thread. - Adds `onBoot` to `chat.agent` — a lifecycle hook that fires once per worker process picking up the chat. Runs for the initial run, preloaded runs, AND reactive continuation runs (post-cancel, crash, `endRun`, `requestUpgrade`, OOM retry), before any other hook. Use it to initialize `chat.local`, open per-process resources, or re-hydrate state from your DB on continuation — anywhere the SAME run picking up after suspend/resume isn't enough. ([#3543](https://github.com/triggerdotdev/trigger.dev/pull/3543)) - **AI SDK `useChat` integration** — a custom [`ChatTransport`](https://sdk.vercel.ai/docs/ai-sdk-ui/transport) (`useTriggerChatTransport`) plugs straight into Vercel AI SDK's `useChat` hook. Text streaming, tool calls, reasoning, and `data-*` parts all work natively over Trigger.dev's realtime streams. No custom API routes needed. - **First-turn fast path (`chat.headStart`)** — opt-in handler that runs the first turn's `streamText` step in your warm server process while the agent run boots in parallel, cutting cold-start TTFC by roughly half (measured 2801ms → 1218ms on `claude-sonnet-4-6`). The agent owns step 2+ (tool execution, persistence, hooks) so heavy deps stay where they belong. Web Fetch handler works natively in Next.js, Hono, SvelteKit, Remix, Workers, etc.; bridge to Express/Fastify/Koa via `chat.toNodeListener`. New `@trigger.dev/sdk/chat-server` subpath. - **Multi-turn durability via Sessions** — every chat is backed by a durable Session that outlives any individual run. Conversations resume across page refreshes, idle timeout, crashes, and deploys; `resume: true` reconnects via `lastEventId` so clients only see new chunks. `sessions.list` enumerates chats for inbox-style UIs. - **Auto-accumulated history, delta-only wire** — the backend accumulates the full conversation across turns; clients only ship the new message each turn. Long chats never hit the 512 KiB body cap. Register `hydrateMessages` to be the source of truth yourself. - **Lifecycle hooks** — `onPreload`, `onChatStart`, `onValidateMessages`, `hydrateMessages`, `onTurnStart`, `onBeforeTurnComplete`, `onTurnComplete`, `onChatSuspend`, `onChatResume` — for persistence, validation, and post-turn work. - **Stop generation** — client-driven `transport.stopGeneration(chatId)` aborts mid-stream; the run stays alive for the next message, partial response is captured, and aborted parts (stuck `partial-call` tools, in-progress reasoning) are auto-cleaned. - **Tool approvals (HITL)** — tools with `needsApproval: true` pause until the user approves or denies via `addToolApprovalResponse`. The runtime reconciles the updated assistant message by ID and continues `streamText`. - **Steering and background injection** — `pendingMessages` injects user messages between tool-call steps so users can steer the agent mid-execution; `chat.inject()` + `chat.defer()` adds context from background work (self-review, RAG, safety checks) between turns. - **Actions** — non-turn frontend commands (undo, rollback, regenerate, edit) sent via `transport.sendAction`. Fire `hydrateMessages` + `onAction` only — no turn hooks, no `run()`. `onAction` can return a `StreamTextResult` for a model response, or `void` for side-effect-only. - **Typed state primitives** — `chat.local<T>` for per-run state accessible from hooks, `run()`, tools, and subtasks (auto-serialized through `ai.toolExecute`); `chat.store` for typed shared data between agent and client; `chat.history` for reading and mutating the message chain; `clientDataSchema` for typed `clientData` in every hook. - **`chat.toStreamTextOptions()`** — one spread into `streamText` wires up versioned system [Prompts](https://trigger.dev/docs/ai/prompts), model resolution, telemetry metadata, compaction, steering, and background injection. - **Multi-tab coordination** — `multiTab: true` + `useMultiTabChat` prevents duplicate sends and syncs state across browser tabs via `BroadcastChannel`. Non-active tabs go read-only with live updates. - **Network resilience** — built-in indefinite retry with bounded backoff, reconnect on `online` / tab refocus / bfcache restore, `Last-Event-ID` mid-stream resume. No app code needed. - **Sessions** — a durable, run-aware stream channel keyed on a stable `externalId`. A Session is the unit of state that owns a multi-run conversation: messages flow through `.in`, responses through `.out`, both survive run boundaries. Sessions back the new `chat.agent` runtime, and you can build on them directly for any pattern that needs durable bi-directional streaming across runs. ([#3542](https://github.com/triggerdotdev/trigger.dev/pull/3542)) - Add `ai.toolExecute(task)` so you can wire a Trigger subtask in as the `execute` handler of an AI SDK `tool()` while defining `description` and `inputSchema` yourself — useful when you want full control over the tool surface and just need Trigger's subtask machinery for the body. ([#3546](https://github.com/triggerdotdev/trigger.dev/pull/3546)) - Type `chat.createStartSessionAction` against your chat agent so `clientData` is typed end-to-end on the first turn: ([#3684](https://github.com/triggerdotdev/trigger.dev/pull/3684)) - Add `region` to the runs list / retrieve API: filter runs by region (`runs.list({ region: "..." })` / `filter[region]=<masterQueue>`) and read each run's executing region from the new `region` field on the response. ([#3612](https://github.com/triggerdotdev/trigger.dev/pull/3612)) - Add `TRIGGER_BUILD_SKIP_REWRITE_TIMESTAMP=1` escape hatch for local self-hosted builds whose buildx driver doesn't support `rewrite-timestamp` alongside push (e.g. orbstack's default `docker` driver). ([#3618](https://github.com/triggerdotdev/trigger.dev/pull/3618)) - Reject overlong `idempotencyKey` values at the API boundary so they no longer trip an internal size limit on the underlying unique index and surface as a generic 500. Inputs are capped at 2048 characters — well above what `idempotencyKeys.create()` produces (a 64-character hash) and above any realistic raw key. Applies to `tasks.trigger`, `tasks.batchTrigger`, `batch.create` (Phase 1 streaming batches), `wait.createToken`, `wait.forDuration`, and the input/session stream waitpoint endpoints. Over-limit requests now return a structured 400 instead. ([#3560](https://github.com/triggerdotdev/trigger.dev/pull/3560)) - **AI SDK `useChat` integration** — a custom [`ChatTransport`](https://sdk.vercel.ai/docs/ai-sdk-ui/transport) (`useTriggerChatTransport`) plugs straight into Vercel AI SDK's `useChat` hook. Text streaming, tool calls, reasoning, and `data-*` parts all work natively over Trigger.dev's realtime streams. No custom API routes needed. - **First-turn fast path (`chat.headStart`)** — opt-in handler that runs the first turn's `streamText` step in your warm server process while the agent run boots in parallel, cutting cold-start TTFC by roughly half (measured 2801ms → 1218ms on `claude-sonnet-4-6`). The agent owns step 2+ (tool execution, persistence, hooks) so heavy deps stay where they belong. Web Fetch handler works natively in Next.js, Hono, SvelteKit, Remix, Workers, etc.; bridge to Express/Fastify/Koa via `chat.toNodeListener`. New `@trigger.dev/sdk/chat-server` subpath. - **Multi-turn durability via Sessions** — every chat is backed by a durable Session that outlives any individual run. Conversations resume across page refreshes, idle timeout, crashes, and deploys; `resume: true` reconnects via `lastEventId` so clients only see new chunks. `sessions.list` enumerates chats for inbox-style UIs. - **Auto-accumulated history, delta-only wire** — the backend accumulates the full conversation across turns; clients only ship the new message each turn. Long chats never hit the 512 KiB body cap. Register `hydrateMessages` to be the source of truth yourself. - **Lifecycle hooks** — `onPreload`, `onChatStart`, `onValidateMessages`, `hydrateMessages`, `onTurnStart`, `onBeforeTurnComplete`, `onTurnComplete`, `onChatSuspend`, `onChatResume` — for persistence, validation, and post-turn work. - **Stop generation** — client-driven `transport.stopGeneration(chatId)` aborts mid-stream; the run stays alive for the next message, partial response is captured, and aborted parts (stuck `partial-call` tools, in-progress reasoning) are auto-cleaned. - **Tool approvals (HITL)** — tools with `needsApproval: true` pause until the user approves or denies via `addToolApprovalResponse`. The runtime reconciles the updated assistant message by ID and continues `streamText`. - **Steering and background injection** — `pendingMessages` injects user messages between tool-call steps so users can steer the agent mid-execution; `chat.inject()` + `chat.defer()` adds context from background work (self-review, RAG, safety checks) between turns. - **Actions** — non-turn frontend commands (undo, rollback, regenerate, edit) sent via `transport.sendAction`. Fire `hydrateMessages` + `onAction` only — no turn hooks, no `run()`. `onAction` can return a `StreamTextResult` for a model response, or `void` for side-effect-only. - **Typed state primitives** — `chat.local<T>` for per-run state accessible from hooks, `run()`, tools, and subtasks (auto-serialized through `ai.toolExecute`); `chat.store` for typed shared data between agent and client; `chat.history` for reading and mutating the message chain; `clientDataSchema` for typed `clientData` in every hook. - **`chat.toStreamTextOptions()`** — one spread into `streamText` wires up versioned system [Prompts](https://trigger.dev/docs/ai/prompts), model resolution, telemetry metadata, compaction, steering, and background injection. - **Multi-tab coordination** — `multiTab: true` + `useMultiTabChat` prevents duplicate sends and syncs state across browser tabs via `BroadcastChannel`. Non-active tabs go read-only with live updates. - **Network resilience** — built-in indefinite retry with bounded backoff, reconnect on `online` / tab refocus / bfcache restore, `Last-Event-ID` mid-stream resume. No app code needed. - Retry `TASK_PROCESS_SIGSEGV` task crashes under the user's retry policy instead of failing the run on the first segfault. SIGSEGV in Node tasks is frequently non-deterministic (native addon races, JIT/GC interaction, near-OOM in native code, host issues), so retrying on a fresh process often succeeds. The retry is gated by the task's existing `retry` config + `maxAttempts` — same path `TASK_PROCESS_SIGTERM` and uncaught exceptions already use — so tasks without a retry policy still fail fast. ([#3552](https://github.com/triggerdotdev/trigger.dev/pull/3552)) - The public interfaces for a plugin system. Initially consolidated authentication and authorization interfaces. ([#3499](https://github.com/triggerdotdev/trigger.dev/pull/3499)) - Add MollifierBuffer and MollifierDrainer primitives for trigger burst smoothing. ([#3614](https://github.com/triggerdotdev/trigger.dev/pull/3614)) ## Bug fixes - Fix `LocalsKey<T>` type incompatibility across dual-package builds. The phantom value-type brand no longer uses a module-level `unique symbol`, so a single TypeScript compilation that resolves the type from both the ESM and CJS outputs (which can happen under certain pnpm hoisting layouts) no longer sees two structurally-incompatible variants of the same type. ([#3626](https://github.com/triggerdotdev/trigger.dev/pull/3626)) <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/sdk@4.5.0-rc.0 ### Minor Changes - **AI Prompts** — define prompt templates as code alongside your tasks, version them on deploy, and override the text or model from the dashboard without redeploying. Prompts integrate with the Vercel AI SDK via `toAISDKTelemetry()` (links every generation span back to the prompt) and with `chat.agent` via `chat.prompt.set()` + `chat.toStreamTextOptions()`. ([#3629](https://github.com/triggerdotdev/trigger.dev/pull/3629)) ```ts import { prompts } from "@trigger.dev/sdk"; import { generateText } from "ai"; import { openai } from "@ai-sdk/openai"; import { z } from "zod"; export const supportPrompt = prompts.define({ id: "customer-support", model: "gpt-4o", config: { temperature: 0.7 }, variables: z.object({ customerName: z.string(), plan: z.string(), issue: z.string(), }), content: `You are a support agent for Acme. Customer: {{customerName}} ({{plan}} plan) Issue: {{issue}}`, }); const resolved = await supportPrompt.resolve({ customerName: "Alice", plan: "Pro", issue: "Can't access billing", }); const result = await generateText({ model: openai(resolved.model ?? "gpt-4o"), system: resolved.text, prompt: "Can't access billing", ...resolved.toAISDKTelemetry(), }); ``` **What you get:** - **Code-defined, deploy-versioned templates** — define with `prompts.define({ id, model, config, variables, content })`. Every deploy creates a new version visible in the dashboard. Mustache-style placeholders (`{{var}}`, `{{#cond}}...{{/cond}}`) with Zod / ArkType / Valibot-typed variables. - **Dashboard overrides** — change a prompt's text or model from the dashboard without redeploying. Overrides take priority over the deployed "current" version and are environment-scoped (dev / staging / production independent). - **Resolve API** — `prompt.resolve(vars, { version?, label? })` returns the compiled `text`, resolved `model`, `version`, and labels. Standalone `prompts.resolve<typeof handle>(slug, vars)` for cross-file resolution with full type inference on slug and variable shape. - **AI SDK integration** — spread `resolved.toAISDKTelemetry({ ...extra })` into any `generateText` / `streamText` call and every generation span links to the prompt in the dashboard alongside its input variables, model, tokens, and cost. - **`chat.agent` integration** — `chat.prompt.set(resolved)` stores the resolved prompt run-scoped; `chat.toStreamTextOptions({ registry })` pulls `system`, `model` (resolved via the AI SDK provider registry), `temperature` / `maxTokens` / etc., and telemetry into a single spread for `streamText`. - **Management SDK** — `prompts.list()`, `prompts.versions(slug)`, `prompts.promote(slug, version)`, `prompts.createOverride(slug, body)`, `prompts.updateOverride(slug, body)`, `prompts.removeOverride(slug)`, `prompts.reactivateOverride(slug, version)`. - **Dashboard** — prompts list with per-prompt usage sparklines; per-prompt detail with Template / Details / Versions / Generations / Metrics tabs. AI generation spans get a custom inspector showing the linked prompt's metadata, input variables, and template content alongside model, tokens, cost, and the message thread. See [/docs/ai/prompts](https://trigger.dev/docs/ai/prompts) for the full reference — template syntax, version resolution order, override workflow, and type utilities (`PromptHandle`, `PromptIdentifier`, `PromptVariables`). - Adds `onBoot` to `chat.agent` — a lifecycle hook that fires once per worker process picking up the chat. Runs for the initial run, preloaded runs, AND reactive continuation runs (post-cancel, crash, `endRun`, `requestUpgrade`, OOM retry), before any other hook. Use it to initialize `chat.local`, open per-process resources, or re-hydrate state from your DB on continuation — anywhere the SAME run picking up after suspend/resume isn't enough. ([#3543](https://github.com/triggerdotdev/trigger.dev/pull/3543)) ```ts const userContext = chat.local<{ name: string; plan: string }>({ id: "userContext" }); export const myChat = chat.agent({ id: "my-chat", onBoot: async ({ clientData, continuation }) => { const user = await db.user.findUnique({ where: { id: clientData.userId } }); userContext.init({ name: user.name, plan: user.plan }); }, run: async ({ messages, signal }) => streamText({ model: openai("gpt-4o"), messages, abortSignal: signal }), }); ``` Use `onBoot` (not `onChatStart`) for state setup that must run every time a worker picks up the chat — `onChatStart` fires once per chat and won't run on continuation, leaving `chat.local` uninitialized when `run()` tries to use it. - **AI Agents** — run AI SDK chat completions as durable Trigger.dev agents instead of fragile API routes. Define an agent in one function, point `useChat` at it from React, and the conversation survives page refreshes, network blips, and process restarts. ([#3543](https://github.com/triggerdotdev/trigger.dev/pull/3543)) ```ts import { chat } from "@trigger.dev/sdk/ai"; import { streamText } from "ai"; import { openai } from "@ai-sdk/openai"; export const myChat = chat.agent({ id: "my-chat", run: async ({ messages, signal }) => streamText({ model: openai("gpt-4o"), messages, abortSignal: signal }), }); ``` ```tsx import { useChat } from "@ai-sdk/react"; import { useTriggerChatTransport } from "@trigger.dev/sdk/chat/react"; const transport = useTriggerChatTransport({ task: "my-chat", accessToken, startSession }); const { messages, sendMessage } = useChat({ transport }); ``` **What you get:** - **AI SDK `useChat` integration** — a custom [`ChatTransport`](https://sdk.vercel.ai/docs/ai-sdk-ui/transport) (`useTriggerChatTransport`) plugs straight into Vercel AI SDK's `useChat` hook. Text streaming, tool calls, reasoning, and `data-*` parts all work natively over Trigger.dev's realtime streams. No custom API routes needed. - **First-turn fast path (`chat.headStart`)** — opt-in handler that runs the first turn's `streamText` step in your warm server process while the agent run boots in parallel, cutting cold-start TTFC by roughly half (measured 2801ms → 1218ms on `claude-sonnet-4-6`). The agent owns step 2+ (tool execution, persistence, hooks) so heavy deps stay where they belong. Web Fetch handler works natively in Next.js, Hono, SvelteKit, Remix, Workers, etc.; bridge to Express/Fastify/Koa via `chat.toNodeListener`. New `@trigger.dev/sdk/chat-server` subpath. - **Multi-turn durability via Sessions** — every chat is backed by a durable Session that outlives any individual run. Conversations resume across page refreshes, idle timeout, crashes, and deploys; `resume: true` reconnects via `lastEventId` so clients only see new chunks. `sessions.list` enumerates chats for inbox-style UIs. - **Auto-accumulated history, delta-only wire** — the backend accumulates the full conversation across turns; clients only ship the new message each turn. Long chats never hit the 512 KiB body cap. Register `hydrateMessages` to be the source of truth yourself. - **Lifecycle hooks** — `onPreload`, `onChatStart`, `onValidateMessages`, `hydrateMessages`, `onTurnStart`, `onBeforeTurnComplete`, `onTurnComplete`, `onChatSuspend`, `onChatResume` — for persistence, validation, and post-turn work. - **Stop generation** — client-driven `transport.stopGeneration(chatId)` aborts mid-stream; the run stays alive for the next message, partial response is captured, and aborted parts (stuck `partial-call` tools, in-progress reasoning) are auto-cleaned. - **Tool approvals (HITL)** — tools with `needsApproval: true` pause until the user approves or denies via `addToolApprovalResponse`. The runtime reconciles the updated assistant message by ID and continues `streamText`. - **Steering and background injection** — `pendingMessages` injects user messages between tool-call steps so users can steer the agent mid-execution; `chat.inject()` + `chat.defer()` adds context from background work (self-review, RAG, safety checks) between turns. - **Actions** — non-turn frontend commands (undo, rollback, regenerate, edit) sent via `transport.sendAction`. Fire `hydrateMessages` + `onAction` only — no turn hooks, no `run()`. `onAction` can return a `StreamTextResult` for a model response, or `void` for side-effect-only. - **Typed state primitives** — `chat.local<T>` for per-run state accessible from hooks, `run()`, tools, and subtasks (auto-serialized through `ai.toolExecute`); `chat.store` for typed shared data between agent and client; `chat.history` for reading and mutating the message chain; `clientDataSchema` for typed `clientData` in every hook. - **`chat.toStreamTextOptions()`** — one spread into `streamText` wires up versioned system [Prompts](https://trigger.dev/docs/ai/prompts), model resolution, telemetry metadata, compaction, steering, and background injection. - **Multi-tab coordination** — `multiTab: true` + `useMultiTabChat` prevents duplicate sends and syncs state across browser tabs via `BroadcastChannel`. Non-active tabs go read-only with live updates. - **Network resilience** — built-in indefinite retry with bounded backoff, reconnect on `online` / tab refocus / bfcache restore, `Last-Event-ID` mid-stream resume. No app code needed. See [/docs/ai-chat](https://trigger.dev/docs/ai-chat/overview) for the full surface — quick start, three backend approaches (`chat.agent`, `chat.createSession`, raw task), persistence and code-sandbox patterns, type-level guides, and API reference. - Add read primitives to `chat.history` for HITL flows: `getPendingToolCalls()`, `getResolvedToolCalls()`, `extractNewToolResults(message)`, `getChain()`, and `findMessage(messageId)`. These lift the accumulator-walking logic that customers building human-in-the-loop tools were re-implementing into the SDK. ([#3543](https://github.com/triggerdotdev/trigger.dev/pull/3543)) Use `getPendingToolCalls()` to gate fresh user turns while a tool call is awaiting an answer. Use `extractNewToolResults(message)` to dedup tool results when persisting to your own store — the helper returns only the parts whose `toolCallId` is not already resolved on the chain. ```ts const pending = chat.history.getPendingToolCalls(); if (pending.length > 0) { // an addToolOutput is expected before a new user message } onTurnComplete: async ({ responseMessage }) => { const newResults = chat.history.extractNewToolResults(responseMessage); for (const r of newResults) { await db.toolResults.upsert({ id: r.toolCallId, output: r.output, errorText: r.errorText }); } }; ``` - **Sessions** — a durable, run-aware stream channel keyed on a stable `externalId`. A Session is the unit of state that owns a multi-run conversation: messages flow through `.in`, responses through `.out`, both survive run boundaries. Sessions back the new `chat.agent` runtime, and you can build on them directly for any pattern that needs durable bi-directional streaming across runs. ([#3542](https://github.com/triggerdotdev/trigger.dev/pull/3542)) ```ts import { sessions, tasks } from "@trigger.dev/sdk"; // Trigger a task and subscribe to its session output in one call const { runId, stream } = await tasks.triggerAndSubscribe("my-task", payload, { externalId: "user-456", }); for await (const chunk of stream) { // ... } // Enumerate existing sessions (powers inbox-style UIs without a separate index) for await (const s of sessions.list({ type: "chat.agent", tag: "user:user-456" })) { console.log(s.id, s.externalId, s.createdAt, s.closedAt); } ``` See [/docs/ai-chat/overview](https://trigger.dev/docs/ai-chat/overview) for the full surface — Sessions powers the durable, resumable chat runtime described there. ### Patch Changes - Add Agent Skills for `chat.agent`. Drop a folder with a `SKILL.md` and any helper scripts/references next to your task code, register it with `skills.define({ id, path })`, and the CLI bundles it into the deploy image automatically — no `trigger.config.ts` changes. The agent gets a one-line summary in its system prompt and discovers full instructions on demand via `loadSkill`, with `bash` and `readFile` tools scoped per-skill (path-traversal guards, output caps, abort-signal propagation). ([#3543](https://github.com/triggerdotdev/trigger.dev/pull/3543)) ```ts const pdfSkill = skills.define({ id: "pdf-extract", path: "./skills/pdf-extract" }); chat.skills.set([await pdfSkill.local()]); ``` Built on the [AI SDK cookbook pattern](https://ai-sdk.dev/cookbook/guides/agent-skills) — portable across providers. SDK + CLI only for now; dashboard-editable `SKILL.md` text is on the roadmap. - Add `ai.toolExecute(task)` so you can wire a Trigger subtask in as the `execute` handler of an AI SDK `tool()` while defining `description` and `inputSchema` yourself — useful when you want full control over the tool surface and just need Trigger's subtask machinery for the body. ([#3546](https://github.com/triggerdotdev/trigger.dev/pull/3546)) ```ts const myTool = tool({ description: "...", inputSchema: z.object({ ... }), execute: ai.toolExecute(mySubtask), }); ``` `ai.tool(task)` (`toolFromTask`) keeps doing the all-in-one wrap and now aligns its return type with AI SDK's `ToolSet`. Minimum `ai` peer raised to `^6.0.116` to avoid cross-version `ToolSet` mismatches in monorepos. - Stamp `gen_ai.conversation.id` (the chat id) on every span and metric emitted from inside a `chat.task` or `chat.agent` run. Lets you filter dashboard spans, runs, and metrics by the chat conversation that produced them — independent of the run boundary, so multi-run chats correlate cleanly. No code changes required on the user side. ([#3543](https://github.com/triggerdotdev/trigger.dev/pull/3543)) - Type `chat.createStartSessionAction` against your chat agent so `clientData` is typed end-to-end on the first turn: ([#3684](https://github.com/triggerdotdev/trigger.dev/pull/3684)) ```ts import { chat } from "@trigger.dev/sdk/ai"; import type { myChat } from "@/trigger/chat"; export const startChatSession = chat.createStartSessionAction<typeof myChat>("my-chat"); // In the browser, threaded from the transport's typed startSession callback: const transport = useTriggerChatTransport<typeof myChat>({ task: "my-chat", startSession: ({ chatId, clientData }) => startChatSession({ chatId, clientData }), // ... }); ``` `ChatStartSessionParams` gains a typed `clientData` field — folded into the first run's `payload.metadata` so `onPreload` / `onChatStart` see the same shape per-turn `metadata` carries via the transport. The opaque session-level `metadata` field is unchanged. - Unit-test `chat.agent` definitions offline with `mockChatAgent` from `@trigger.dev/sdk/ai/test`. Drives a real agent's turn loop in-process — no network, no task runtime — so you can send messages, actions, and stop signals via driver methods, inspect captured output chunks, and verify hooks fire. Pairs with `MockLanguageModelV3` from `ai/test` for model mocking. `setupLocals` lets you pre-seed `locals` (DB clients, service stubs) before `run()` starts. ([#3543](https://github.com/triggerdotdev/trigger.dev/pull/3543)) The broader `runInMockTaskContext` harness it's built on lives at `@trigger.dev/core/v3/test` — useful for unit-testing any task code, not just chat. - Add `region` to the runs list / retrieve API: filter runs by region (`runs.list({ region: "..." })` / `filter[region]=<masterQueue>`) and read each run's executing region from the new `region` field on the response. ([#3612](https://github.com/triggerdotdev/trigger.dev/pull/3612)) - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.0` ## @trigger.dev/build@4.5.0-rc.0 ### Patch Changes - Add Agent Skills for `chat.agent`. Drop a folder with a `SKILL.md` and any helper scripts/references next to your task code, register it with `skills.define({ id, path })`, and the CLI bundles it into the deploy image automatically — no `trigger.config.ts` changes. The agent gets a one-line summary in its system prompt and discovers full instructions on demand via `loadSkill`, with `bash` and `readFile` tools scoped per-skill (path-traversal guards, output caps, abort-signal propagation). ([#3543](https://github.com/triggerdotdev/trigger.dev/pull/3543)) ```ts const pdfSkill = skills.define({ id: "pdf-extract", path: "./skills/pdf-extract" }); chat.skills.set([await pdfSkill.local()]); ``` Built on the [AI SDK cookbook pattern](https://ai-sdk.dev/cookbook/guides/agent-skills) — portable across providers. SDK + CLI only for now; dashboard-editable `SKILL.md` text is on the roadmap. - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.0` ## trigger.dev@4.5.0-rc.0 ### Patch Changes - Add Agent Skills for `chat.agent`. Drop a folder with a `SKILL.md` and any helper scripts/references next to your task code, register it with `skills.define({ id, path })`, and the CLI bundles it into the deploy image automatically — no `trigger.config.ts` changes. The agent gets a one-line summary in its system prompt and discovers full instructions on demand via `loadSkill`, with `bash` and `readFile` tools scoped per-skill (path-traversal guards, output caps, abort-signal propagation). ([#3543](https://github.com/triggerdotdev/trigger.dev/pull/3543)) ```ts const pdfSkill = skills.define({ id: "pdf-extract", path: "./skills/pdf-extract" }); chat.skills.set([await pdfSkill.local()]); ``` Built on the [AI SDK cookbook pattern](https://ai-sdk.dev/cookbook/guides/agent-skills) — portable across providers. SDK + CLI only for now; dashboard-editable `SKILL.md` text is on the roadmap. - Add `TRIGGER_BUILD_SKIP_REWRITE_TIMESTAMP=1` escape hatch for local self-hosted builds whose buildx driver doesn't support `rewrite-timestamp` alongside push (e.g. orbstack's default `docker` driver). ([#3618](https://github.com/triggerdotdev/trigger.dev/pull/3618)) - The CLI MCP server's agent-chat tools (`start_agent_chat`, `send_agent_message`, `close_agent_chat`) now run on the new Sessions primitive, so AI assistants driving a `chat.agent` get the same idempotent-by-`chatId`, durable-across-runs behavior the browser transport gets. Required PAT scopes go from `write:inputStreams` to `read:sessions` + `write:sessions`. ([#3546](https://github.com/triggerdotdev/trigger.dev/pull/3546)) - MCP `list_runs` tool: add a `region` filter input and surface each run's executing region in the formatted summary. ([#3612](https://github.com/triggerdotdev/trigger.dev/pull/3612)) - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.0` - `@trigger.dev/build@4.5.0-rc.0` - `@trigger.dev/schema-to-json@4.5.0-rc.0` ## @trigger.dev/core@4.5.0-rc.0 ### Patch Changes - Add Agent Skills for `chat.agent`. Drop a folder with a `SKILL.md` and any helper scripts/references next to your task code, register it with `skills.define({ id, path })`, and the CLI bundles it into the deploy image automatically — no `trigger.config.ts` changes. The agent gets a one-line summary in its system prompt and discovers full instructions on demand via `loadSkill`, with `bash` and `readFile` tools scoped per-skill (path-traversal guards, output caps, abort-signal propagation). ([#3543](https://github.com/triggerdotdev/trigger.dev/pull/3543)) ```ts const pdfSkill = skills.define({ id: "pdf-extract", path: "./skills/pdf-extract" }); chat.skills.set([await pdfSkill.local()]); ``` Built on the [AI SDK cookbook pattern](https://ai-sdk.dev/cookbook/guides/agent-skills) — portable across providers. SDK + CLI only for now; dashboard-editable `SKILL.md` text is on the roadmap. - Reject overlong `idempotencyKey` values at the API boundary so they no longer trip an internal size limit on the underlying unique index and surface as a generic 500. Inputs are capped at 2048 characters — well above what `idempotencyKeys.create()` produces (a 64-character hash) and above any realistic raw key. Applies to `tasks.trigger`, `tasks.batchTrigger`, `batch.create` (Phase 1 streaming batches), `wait.createToken`, `wait.forDuration`, and the input/session stream waitpoint endpoints. Over-limit requests now return a structured 400 instead. ([#3560](https://github.com/triggerdotdev/trigger.dev/pull/3560)) - **AI Agents** — run AI SDK chat completions as durable Trigger.dev agents instead of fragile API routes. Define an agent in one function, point `useChat` at it from React, and the conversation survives page refreshes, network blips, and process restarts. ([#3543](https://github.com/triggerdotdev/trigger.dev/pull/3543)) ```ts import { chat } from "@trigger.dev/sdk/ai"; import { streamText } from "ai"; import { openai } from "@ai-sdk/openai"; export const myChat = chat.agent({ id: "my-chat", run: async ({ messages, signal }) => streamText({ model: openai("gpt-4o"), messages, abortSignal: signal }), }); ``` ```tsx import { useChat } from "@ai-sdk/react"; import { useTriggerChatTransport } from "@trigger.dev/sdk/chat/react"; const transport = useTriggerChatTransport({ task: "my-chat", accessToken, startSession }); const { messages, sendMessage } = useChat({ transport }); ``` **What you get:** - **AI SDK `useChat` integration** — a custom [`ChatTransport`](https://sdk.vercel.ai/docs/ai-sdk-ui/transport) (`useTriggerChatTransport`) plugs straight into Vercel AI SDK's `useChat` hook. Text streaming, tool calls, reasoning, and `data-*` parts all work natively over Trigger.dev's realtime streams. No custom API routes needed. - **First-turn fast path (`chat.headStart`)** — opt-in handler that runs the first turn's `streamText` step in your warm server process while the agent run boots in parallel, cutting cold-start TTFC by roughly half (measured 2801ms → 1218ms on `claude-sonnet-4-6`). The agent owns step 2+ (tool execution, persistence, hooks) so heavy deps stay where they belong. Web Fetch handler works natively in Next.js, Hono, SvelteKit, Remix, Workers, etc.; bridge to Express/Fastify/Koa via `chat.toNodeListener`. New `@trigger.dev/sdk/chat-server` subpath. - **Multi-turn durability via Sessions** — every chat is backed by a durable Session that outlives any individual run. Conversations resume across page refreshes, idle timeout, crashes, and deploys; `resume: true` reconnects via `lastEventId` so clients only see new chunks. `sessions.list` enumerates chats for inbox-style UIs. - **Auto-accumulated history, delta-only wire** — the backend accumulates the full conversation across turns; clients only ship the new message each turn. Long chats never hit the 512 KiB body cap. Register `hydrateMessages` to be the source of truth yourself. - **Lifecycle hooks** — `onPreload`, `onChatStart`, `onValidateMessages`, `hydrateMessages`, `onTurnStart`, `onBeforeTurnComplete`, `onTurnComplete`, `onChatSuspend`, `onChatResume` — for persistence, validation, and post-turn work. - **Stop generation** — client-driven `transport.stopGeneration(chatId)` aborts mid-stream; the run stays alive for the next message, partial response is captured, and aborted parts (stuck `partial-call` tools, in-progress reasoning) are auto-cleaned. - **Tool approvals (HITL)** — tools with `needsApproval: true` pause until the user approves or denies via `addToolApprovalResponse`. The runtime reconciles the updated assistant message by ID and continues `streamText`. - **Steering and background injection** — `pendingMessages` injects user messages between tool-call steps so users can steer the agent mid-execution; `chat.inject()` + `chat.defer()` adds context from background work (self-review, RAG, safety checks) between turns. - **Actions** — non-turn frontend commands (undo, rollback, regenerate, edit) sent via `transport.sendAction`. Fire `hydrateMessages` + `onAction` only — no turn hooks, no `run()`. `onAction` can return a `StreamTextResult` for a model response, or `void` for side-effect-only. - **Typed state primitives** — `chat.local<T>` for per-run state accessible from hooks, `run()`, tools, and subtasks (auto-serialized through `ai.toolExecute`); `chat.store` for typed shared data between agent and client; `chat.history` for reading and mutating the message chain; `clientDataSchema` for typed `clientData` in every hook. - **`chat.toStreamTextOptions()`** — one spread into `streamText` wires up versioned system [Prompts](https://trigger.dev/docs/ai/prompts), model resolution, telemetry metadata, compaction, steering, and background injection. - **Multi-tab coordination** — `multiTab: true` + `useMultiTabChat` prevents duplicate sends and syncs state across browser tabs via `BroadcastChannel`. Non-active tabs go read-only with live updates. - **Network resilience** — built-in indefinite retry with bounded backoff, reconnect on `online` / tab refocus / bfcache restore, `Last-Event-ID` mid-stream resume. No app code needed. See [/docs/ai-chat](https://trigger.dev/docs/ai-chat/overview) for the full surface — quick start, three backend approaches (`chat.agent`, `chat.createSession`, raw task), persistence and code-sandbox patterns, type-level guides, and API reference. - Stamp `gen_ai.conversation.id` (the chat id) on every span and metric emitted from inside a `chat.task` or `chat.agent` run. Lets you filter dashboard spans, runs, and metrics by the chat conversation that produced them — independent of the run boundary, so multi-run chats correlate cleanly. No code changes required on the user side. ([#3543](https://github.com/triggerdotdev/trigger.dev/pull/3543)) - Fix `LocalsKey<T>` type incompatibility across dual-package builds. The phantom value-type brand no longer uses a module-level `unique symbol`, so a single TypeScript compilation that resolves the type from both the ESM and CJS outputs (which can happen under certain pnpm hoisting layouts) no longer sees two structurally-incompatible variants of the same type. ([#3626](https://github.com/triggerdotdev/trigger.dev/pull/3626)) - Unit-test `chat.agent` definitions offline with `mockChatAgent` from `@trigger.dev/sdk/ai/test`. Drives a real agent's turn loop in-process — no network, no task runtime — so you can send messages, actions, and stop signals via driver methods, inspect captured output chunks, and verify hooks fire. Pairs with `MockLanguageModelV3` from `ai/test` for model mocking. `setupLocals` lets you pre-seed `locals` (DB clients, service stubs) before `run()` starts. ([#3543](https://github.com/triggerdotdev/trigger.dev/pull/3543)) The broader `runInMockTaskContext` harness it's built on lives at `@trigger.dev/core/v3/test` — useful for unit-testing any task code, not just chat. - Retry `TASK_PROCESS_SIGSEGV` task crashes under the user's retry policy instead of failing the run on the first segfault. SIGSEGV in Node tasks is frequently non-deterministic (native addon races, JIT/GC interaction, near-OOM in native code, host issues), so retrying on a fresh process often succeeds. The retry is gated by the task's existing `retry` config + `maxAttempts` — same path `TASK_PROCESS_SIGTERM` and uncaught exceptions already use — so tasks without a retry policy still fail fast. ([#3552](https://github.com/triggerdotdev/trigger.dev/pull/3552)) - Add `region` to the runs list / retrieve API: filter runs by region (`runs.list({ region: "..." })` / `filter[region]=<masterQueue>`) and read each run's executing region from the new `region` field on the response. ([#3612](https://github.com/triggerdotdev/trigger.dev/pull/3612)) - **Sessions** — a durable, run-aware stream channel keyed on a stable `externalId`. A Session is the unit of state that owns a multi-run conversation: messages flow through `.in`, responses through `.out`, both survive run boundaries. Sessions back the new `chat.agent` runtime, and you can build on them directly for any pattern that needs durable bi-directional streaming across runs. ([#3542](https://github.com/triggerdotdev/trigger.dev/pull/3542)) ```ts import { sessions, tasks } from "@trigger.dev/sdk"; // Trigger a task and subscribe to its session output in one call const { runId, stream } = await tasks.triggerAndSubscribe("my-task", payload, { externalId: "user-456", }); for await (const chunk of stream) { // ... } // Enumerate existing sessions (powers inbox-style UIs without a separate index) for await (const s of sessions.list({ type: "chat.agent", tag: "user:user-456" })) { console.log(s.id, s.externalId, s.createdAt, s.closedAt); } ``` See [/docs/ai-chat/overview](https://trigger.dev/docs/ai-chat/overview) for the full surface — Sessions powers the durable, resumable chat runtime described there. ## @trigger.dev/plugins@4.5.0-rc.0 ### Patch Changes - The public interfaces for a plugin system. Initially consolidated authentication and authorization interfaces. ([#3499](https://github.com/triggerdotdev/trigger.dev/pull/3499)) - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.0` ## @trigger.dev/python@4.5.0-rc.0 ### Patch Changes - Updated dependencies: - `@trigger.dev/sdk@4.5.0-rc.0` - `@trigger.dev/core@4.5.0-rc.0` - `@trigger.dev/build@4.5.0-rc.0` ## @trigger.dev/react-hooks@4.5.0-rc.0 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.0` ## @trigger.dev/redis-worker@4.5.0-rc.0 ### Patch Changes - Add MollifierBuffer and MollifierDrainer primitives for trigger burst smoothing. ([#3614](https://github.com/triggerdotdev/trigger.dev/pull/3614)) MollifierBuffer (`accept`, `pop`, `ack`, `requeue`, `fail`, `evaluateTrip`) is a per-env FIFO over Redis with atomic Lua transitions for status tracking. `evaluateTrip` is a sliding-window trip evaluator the webapp gate uses to detect per-env trigger bursts. MollifierDrainer pops entries through a polling loop with a user-supplied handler. The loop survives transient Redis errors via capped exponential backoff (up to 5s), and per-env pop failures don't poison the rest of the batch — one env's blip is logged and counted as failed for that tick. Rotation is two-level: orgs at the top, envs within each org. The buffer maintains `mollifier:orgs` and `mollifier:org-envs:${orgId}` atomically with per-env queues, so the drainer walks orgs → envs directly without an in-memory cache. The `maxOrgsPerTick` option (default 500) caps how many orgs are scheduled per tick; for each picked org, one env is popped (rotating round-robin within the org). An org with N envs gets the same per-tick scheduling slot as an org with 1 env, so tenant-level drainage throughput is determined by org count rather than env count. - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.0` ## @trigger.dev/rsc@4.5.0-rc.0 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.0` ## @trigger.dev/schema-to-json@4.5.0-rc.0 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.0` </details> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>v.docker.4.5.0-rc.0 v4.5.0-rc.0 helm-v4.5.0-rc.0 |
||
|
Eric Allam
|
422f9f0bb2 |
ci: unblock changesets release PRs (#3687)
## Summary Two CI workflows were blocking the v4.5.0-rc.0 release PR (#3563) and would block every future changeset release PR. ### 1. `changesets-pr.yml` — self-report `All PR Checks` The changesets bot pushes commits authored by `GITHUB_TOKEN`. By GitHub design, `GITHUB_TOKEN`-authored pushes can't trigger downstream workflows (loop-prevention). That means `pr_checks.yml` never fires on release-PR commits, leaving the required `All PR Checks` status permanently `Expected — Waiting for status to be reported`. The PR can't merge. The fix: after `changesets/action` creates the PR, post a `success` check with the exact `All PR Checks` context onto the PR's head SHA. GitHub's required-check evaluation is satisfied by any check with the right context name — the source doesn't have to be `pr_checks.yml`. **Why this is safe:** the release PR only mechanically bumps `package.json`, `pnpm-lock.yaml`, and `CHANGELOG.md` from changesets that were already on `main` (and already ran full CI when they merged). If a human ever pushes a commit to `changeset-release/main`, `pr_checks.yml` fires on that push (real user, not `GITHUB_TOKEN`) and posts its own `All PR Checks` status — last write wins for the same context on the same SHA, so the human-push result overrides the auto-success. ### 2. `vouch-check-pr.yml` — exempt `github-actions[bot]` The `require-draft` job auto-closes any non-draft PR whose author is not a `MEMBER`/`OWNER`/`COLLABORATOR`, with an explicit allowlist for `devin-ai-integration[bot]` and `dependabot[bot]`. The changesets bot publishes as `github-actions[bot]` with `author_association: CONTRIBUTOR`, so every release PR was getting auto-closed on open with a "please re-open as draft" comment. Add `github-actions[bot]` to the exemption list. ## Test plan - [ ] After merge, the next changeset bot push to `changeset-release/main` should post `All PR Checks: success` on the release PR's head SHA, and the PR should not get auto-closed by `Vouch - Check PR`. - [ ] Confirm `pr_checks.yml` still fires + gates normal (human-authored) PRs to `main`. |
||
|
Eric Allam
|
89d085a496 |
fix(references): repair ai-chat typecheck against current wire shape (#3685)
## Summary Pre-existing typecheck errors in `references/ai-chat` against the current SDK shape. Unblocks `pnpm exec tsc --noEmit` in the reference project. ## What changed Three categories of fixes inside `references/ai-chat`. No SDK changes. ### 1. `payload.messages` → `payload.message` The wire payload is now delta-only — one new message per trigger, optional. Old code in two raw-task files reads `payload.messages` (plural array) which no longer exists. ```ts // before const messages = await conversation.addIncoming(currentPayload.messages, ...); // after const messages = await conversation.addIncoming( currentPayload.message ? [currentPayload.message] : [], ... ); ``` Same fix to the `chat.messages.on` handler, reading `msg.message` (singular) instead of `msg.messages[length - 1]`. ### 2. `clientData` non-null assertion in `cf-trust-test` `ChatTurnContext.clientData` is typed as `?: TClientData` on `onTurnStart` / `run` event objects even when the agent declares a `clientDataSchema`. The runtime validates against the schema before the hook fires, so it's structurally non-null — but TypeScript can't know that. Non-null assert for now. Follow-up worth filing: narrow `ChatTurnContext.clientData` to non-optional when the agent has a `clientDataSchema`. Same friction the docs friction-test subagent flagged. ### 3. `stress-emit.parseConfig` retyped against `ModelMessage[]` The `run` callback hands `messages: ModelMessage[]`, not `UIMessage[]`. Update `parseConfig` to accept `ModelMessage[]` and pull text from `content` (string or array-of-parts). ## Test plan - [x] `pnpm exec tsc --noEmit` in `references/ai-chat` passes (was 8 errors, now 0) |
||
|
Eric Allam
|
9ff410bfa4 |
feat(sdk): type chat.createStartSessionAction against your chat agent (#3684)
## Summary
Type `chat.createStartSessionAction` against the chat agent so
`clientData` is typed end-to-end on the first turn. Closes the gap where
`useTriggerChatTransport`'s `startSession` callback already hands you a
typed `clientData` (via the transport generic) but the server-side
action couldn't accept it without untyped routing through the `metadata`
field.
## Design
`ChatStartSessionParams` gains a typed `clientData` field via the new
generic:
```ts
export type ChatStartSessionParams<TChat extends AnyTask = AnyTask> = {
chatId: string;
clientData?: InferChatClientData<TChat>;
triggerConfig?: Partial<SessionTriggerConfig>;
metadata?: Record<string, unknown>;
};
function createChatStartSessionAction<TChat extends AnyTask = AnyTask>(
taskId: string,
options?: CreateChatStartSessionActionOptions
): (params: ChatStartSessionParams<TChat>) => Promise<ChatStartSessionResult>
```
When provided, `clientData` is folded into the first run's
`triggerConfig.basePayload.metadata`, so `onPreload` / `onChatStart` see
the same shape per-turn `metadata` carries via the transport. The opaque
session-level `metadata` field stays exactly as before — it lands on the
Session row, not the run payload.
## Usage
```ts
// actions.ts
import { chat } from "@trigger.dev/sdk/ai";
import type { myChat } from "@/trigger/chat";
export const startChatSession = chat.createStartSessionAction<typeof myChat>("my-chat");
```
```tsx
// Chat.tsx
const transport = useTriggerChatTransport<typeof myChat>({
task: "my-chat",
accessToken: ({ chatId }) => mintChatAccessToken(chatId),
startSession: ({ chatId, clientData }) =>
startChatSession({ chatId, clientData }),
});
```
## Test plan
- [x] `pnpm run build --filter @trigger.dev/sdk` passes
- [ ] Verify a `chat.agent` with `clientDataSchema` reads the typed
clientData from `onPreload` payload metadata on the first turn
|
||
|
Eric Allam
|
d343727021 |
fix(webapp,sdk): keep chat.agent snapshots on one object store (#3679)
(`OBJECT_STORE_BASE_URL`) and a named protocol provider
(`OBJECT_STORE_DEFAULT_PROTOCOL=s3`), chat.agent session snapshot writes
landed in the named provider but reads fell through to the default — so
the recovery boot couldn't find the snapshot it had just written.
After a mid-stream cancel, the missing snapshot triggered a fallback
replay path that dropped the user's follow-up message, leaving the chat
stuck in `submitted` indefinitely.
Fix:
- New `/api/v1/sessions/:id/snapshot-url` route handles PUT + GET
symmetrically — both prefix unprefixed keys with
`OBJECT_STORE_DEFAULT_PROTOCOL` so they always round-trip through the
same store.
- `Session.chatSnapshotStoragePath` persists the resolved URI on first
write so future protocol changes don't strand existing snapshots.
Reads prefer the stored URI and fall back to the computed default for
pre-column sessions.
- SDK calls `createChatSnapshotUploadUrl` / `getChatSnapshotUrl`; the
generic v1/v2 packets endpoints are unchanged.
## Test plan
- [x] Configure local with two providers (R2 default + MinIO `s3` named)
and `OBJECT_STORE_DEFAULT_PROTOCOL=s3`.
- [x] Reproduce hang: send a message, cancel mid-stream, send another —
without the fix it hangs in `submitted`; with the fix it streams.
- [x] Snapshot lands in the `s3`-protocol bucket and
`Session.chatSnapshotStoragePath` is set after first write.
- [x] SDK unit tests pass; webapp typecheck passes.
|
||
|
Eric Allam
|
aec7e0a93d |
perf(webapp): index EnvironmentVariableValue.environmentId (#3675)
Env-var lookups via `GET /api/v1/projects/:projectRef/envvars/:slug/:name` run a Prisma `findMany` on `EnvironmentVariableValue` filtered by `environmentId` + `isSecret`. The only existing indexes are the primary key and a unique on `(variableId, environmentId)`, so `environmentId` is never the leading column — the planner falls back to a Parallel Seq Scan over the whole table to find what is, in practice, a handful of rows per environment. Two changes: - Add a btree index on `EnvironmentVariableValue(environmentId)` so the planner switches to an index scan. The composite `(variableId, environmentId)` unique stays in place; the new index is purely additive. - Route the `findMany` inside `getEnvironmentWithRedactedSecrets` through the read replica via a new `replicaClient` constructor param on the repository (defaulting to `$replica`, mirroring how `prismaClient` defaults to `prisma`). Writes and read-after-write methods stay on the primary. ## Test plan - [ ] `pnpm run typecheck --filter webapp` - [ ] Confirm `EXPLAIN` plan flips from Parallel Seq Scan to an index scan - [ ] Existing env-var route tests still pass |
||
|
Daniel Sutton
|
6b46a34c46 |
fix(webapp): return 404 instead of 500 for missing env/project/schedule loaders (#3663)
## Summary
- Dashboard loaders for runs / sessions / batches / schedule-detail
threw bare `Error("X not found")` when a slug didn't resolve. Remix
surfaces this as a 500 and Sentry captures it via auto-instrumentation,
producing ongoing noise from real users following stale preview-branch
or deleted-resource links (the URLs in those Sentry events all carry
`?_data=routes/...`, i.e. client-side revalidation, not full-page
navigation).
- Added a `throwNotFound(statusText)` helper in
`app/utils/httpErrors.ts` that throws a Response with status 404,
matching the established pattern in sibling routes (agents, alerts,
bulk-actions, etc.).
- Migrated 5 loader sites to `throwNotFound` (4× "Environment not
found", 1× "Schedule not found").
- Migrated 1 loader site (`runs._index` project branch) to
`redirectWithErrorMessage("/", request, "Project not found")` to match
the pre-existing convention used by every other dashboard route's
project-not-found branch.
- Intentionally **not** touched: bare `throw new Error("X not found")`
inside `resources.*` action routes (sit inside try/catch blocks that
already redirect with a flash message), the invariant assertion in
`vercel.connect.tsx`, and the admin config check in
`admin.api.v1.runs-replication.backfill.ts`.
## Where the fix is visible
Normal browser navigation to these URLs doesn't reach the buggy loaders
— the parent env-layout
(`_app.orgs.$organizationSlug.projects.$projectParam.env.$envParam/route.tsx`)
already filters missing envs/projects and redirects/404s before the
child loader runs. The bug fires exclusively when Remix calls a single
child loader via `?_data=routes/...`, which happens during client-side
navigation or `useRevalidator`. That matches every Sentry event URL.
## Test plan
- [x] Unit test for the new helper —
`apps/webapp/test/httpErrors.test.ts`
- [x] `pnpm run typecheck --filter webapp` clean
- [x] Manual verification via Playwright on `main` vs this branch (6
cases): main returns 500 for each defective `_data` URL; branch returns
404 or 204 + `X-Remix-Redirect` as designed
- [x] Verified user-visible 404 catch boundary on `schedules/<missing>`
(the one case reachable via normal nav)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
|
||
|
Eric Allam
|
f91b96efb7 | feat(sdk,core): preserve chat.agent context after cancel / OOM / crash (#3671) | ||
|
Eric Allam
|
12d2125148 |
fix(sdk,core,build): SDK hardening pass (#3670)
## Summary Five hardening fixes across `@trigger.dev/sdk`, `@trigger.dev/core`, and `@trigger.dev/build`. - `tasks.triggerAndSubscribe` now forwards caller `requestOptions` (custom API keys, per-request overrides) to the underlying `apiClient.triggerTask` call instead of silently dropping them. - `SSEStreamSubscription` no longer retries permanent client errors forever. The default `nonRetryableStatuses` widens from `[404, 410]` to `[400, 404, 409, 410, 422]`, so a malformed session-stream request fails fast instead of busy-looping under bounded backoff. - Session writer falls back to manually wiring the caller's `AbortSignal` on Node 18, where `AbortSignal.any` is unavailable. Caller-driven cancellation now propagates on every supported runtime. - `TriggerChatTransport` throws immediately when a `chat.handover` response is missing `X-Trigger-Chat-Access-Token`, instead of silently downgrading every subsequent turn back to the handover path. `dispose()` aborts every active `session.out` subscription before tearing the coordinator down, so unmount/navigation no longer leaves SSE readers in flight. - Removed the experimental `@trigger.dev/build/extensions/secureExec` build extension. It will return alongside the sandbox feature it was built to support. ## Test plan - [ ] `pnpm run build --filter @trigger.dev/sdk --filter @trigger.dev/core --filter @trigger.dev/build` - [ ] `pnpm --filter @trigger.dev/sdk test --run` (183 tests, including chat / chat-server / sessions / handover) - [ ] `pnpm --filter @trigger.dev/core test --run` - [ ] Manually trigger a `chat.handover` whose response strips `X-Trigger-Chat-Access-Token`, and confirm the transport throws synchronously rather than degrading. - [ ] Unmount a chat UI mid-stream and confirm the active `session.out` SSE connection closes immediately. |
||
|
Iss
|
204a766bb1 |
feat(webapp): expose is_warm_start in TRQL runs schema (#3667)
Add is_warm_start to TRQL runs schema so warm vs cold start data is queryable |
||
|
Eric Allam
|
436b7a9ea1 |
fix(webapp): fold S2 token scope into access-token cache key (#3668)
## Summary
The S2 access-token cache key was `${basin}:${streamPrefix}` — purely
server-derived but blind to the **scope/ops list** hardcoded one method
away. When the ops list changes in code (e.g. #3644 added `trim` so
`chat.agent`'s per-turn trim chain can issue `AppendRecord.trim()`),
pre-deploy tokens still in cache get returned to SDK callers for up to
the token's TTL (24h default), surfacing as `Operation not permitted`
403s on any op outside the old scope.
## Fix
Lift the ops list to a module constant and fold its sorted-join
fingerprint into the cache key:
```ts
const S2_TOKEN_OPS = ["append", "create-stream", "trim"] as const;
const S2_TOKEN_OPS_FINGERPRINT = [...S2_TOKEN_OPS].sort().join(",");
// in getS2AccessToken
const cacheKey = `${this.basin}:${this.streamPrefix}:${S2_TOKEN_OPS_FINGERPRINT}`;
// in s2IssueAccessToken
scope: { /* ... */ ops: [...S2_TOKEN_OPS], /* ... */ }
```
The fingerprint is derived from the single source of truth, so any
future scope change auto-invalidates without anyone remembering to bump
a literal version. The Unkey L1 (in-memory LRU) and L2 (Redis) layers
share the same key derivation, so both reset together on the next deploy
with no manual cache busting.
## Test plan
- [ ] `pnpm run typecheck --filter webapp`
- [ ] Run a multi-turn `chat.agent` chat via `references/ai-chat` and
confirm no `chat.agent: trim failed; will retry next turn` warn span
fires across turn-completes.
|
||
|
Oskar Otwinowski
|
2fbac48e0d |
feat(webapp): prompt to clear TRIGGER_VERSION on disabling Vercel atomic deployments (#3666)
- Ask user if they want to remove TRIGGER_VERSION when they disable atomic deployments, and explain what is the situation if they leave it as it is - Install TRIGGER_SECRET keys as sensitive values in Vercel <img width="1136" height="714" alt="image" src="https://github.com/user-attachments/assets/a7351da1-5b2a-44e5-acdd-d30c9359f3ed" /> <img width="1136" height="714" alt="image" src="https://github.com/user-attachments/assets/e773ede2-74cb-438e-811c-338f678d2f7d" /> <img width="1136" height="714" alt="image" src="https://github.com/user-attachments/assets/c7b235a8-e06d-48d3-ac28-c5c9aacc6069" /> |
||
|
Eric Allam
|
e825409f0e |
ci(release): exit changeset pre mode before snapshot prerelease (#3665)
## Summary The prerelease (snapshot) path of the release workflow fails immediately whenever `main` carries an active `.changeset/pre.json` (i.e. during an in-progress RC cycle, like the current v4 RC): ``` 🦋 error Snapshot release is not allowed in pre mode 🦋 To resolve this exit the pre mode by running `changeset pre exit` ``` This blocks `chat-prerelease` snapshots from main even though the snapshots are unrelated to the RC cycle. Adds a conditional `changeset pre exit` step right before `Snapshot version` in the prerelease job. The job runs on a checkout with `persist-credentials: false`, so the `pre.json` deletion stays on the runner's working tree — main's persisted pre-mode state is untouched, and v4 RC publishes keep working normally. ## Test plan - [ ] Re-run the `🦋 Changesets Release` workflow with `type=prerelease`, `ref=main`, `prerelease_tag=chat-prerelease` and confirm it gets past the snapshot step and publishes. - [ ] Confirm `.changeset/pre.json` on `main` is unchanged after the run. |
||
|
Daniel Sutton
|
2f261e5e69 |
fix(webapp): catch loader/action throws before Remix serializes them (#3664)
## Summary Companion to #3536, which patched routes that already had a leaking `catch (e) { return json({error: e.message}, 500) }`. That pattern can't reach routes which have no catch in the first place — when those throw, Remix's default error path serializes `error.message` into the response body, and the SDK then wraps the leaked string as `TriggerApiError`. Across 28 raw api.v1 loaders/actions plus one dashboard polling endpoint, each handler now: - Wraps its body in `try { ... } catch (error) { ... }`. - Re-throws `Response` instances so auth helpers' `throw json(...)` / `throw redirect(...)` pass through unchanged. - Logs non-Response errors via `logger.error` so server-side visibility is preserved. - Returns a generic body — `{"error": "Internal Server Error"}` 500 for raw API routes, or `{ changelogs: [] }` 200 for the polling widget (degrade silently across transient blips; the consumer hook already coped with empty payloads). For six routes where #3536 left an inner try/catch covering only a service call (`alertChannels`, `batches.results`, `deployments.finalize`, `deployments.background-workers`, `deployments.promote`, `projects.background-workers`): an outer try/catch is added so auth/parsing failures are also sanitized. Inner typed-error handling (`ServiceValidationError` → 422 with message, etc.) is preserved exactly. For two routes whose existing catch returned 400 + `error.message` (`api.v1.authorization-code`, `api.v1.orgs.\$orgParam.projects` action): the body is sanitized to a generic per-route string. **Status code stays 400** — clients that key on the 4xx/5xx distinction (and the SDK's no-retry-on-4xx behavior) are unaffected. ## Test plan - [x] \`pnpm run typecheck --filter webapp\` - [x] Per-route synthetic-throw probe: inject \`throw new Error("SYNTHETIC ...")\` at the top of each catch'd try, curl the route with a dummy bearer, confirm the response body is the generic shape and that the synthetic message lands server-side via \`logger.error\`. 29 routes verified. - [x] Real-P1001 probe on the envvars loader: \`docker stop database\` mid-flight, confirm response is generic 500 (not the leaked Prisma message). - [x] Sampled legitimate 4xx/2xx paths across each pattern variant (naked-wrap, partial-expanded, 400-preserved) to confirm the wraps don't interfere with normal control flow. |
||
|
nicktrn
|
5dacab0c72 |
fix: validate email format on magic link login (#3660)
Reject non-email strings at the magic link form instead of accepting any string and proceeding through rate-limit / authenticator steps. |
||
|
Oskar Otwinowski
|
02d61afc1c |
fix(webapp): sanitize OTel attributes on ClickHouse JSON parse rejection (#3659)
Before fix: <img width="1264" height="987" alt="image" src="https://github.com/user-attachments/assets/24b8b85c-b89f-4109-9004-8d6af61d2849" /> After fix: <img width="1264" height="987" alt="image" src="https://github.com/user-attachments/assets/89bbc587-c50a-45ab-b203-dbe91028e918" /> |
||
|
Eric Allam
|
427d9e078a |
feat(sdk): functional baseURL and fetch override on chat transports (#3655)
## Summary
`TriggerChatTransport`, `AgentChat`, and `chat.createStartSessionAction`
now accept a string-or-function `baseURL` so callers can route per
endpoint — e.g. `.in/append` through a trusted edge proxy while keeping
`.out` SSE direct. The same surfaces add a `fetch` override for header
injection, custom retries, or proxy rewrites that go beyond URL routing.
SSE GETs are covered too via a new `fetchClient` option on
`SSEStreamSubscription`.
```ts
// TriggerChatTransport / AgentChat — endpoints: "in" | "out"
baseURL: ({ endpoint }) =>
endpoint === "out" ? DIRECT : PROXY,
fetch: (url, init, ctx) => {
init.headers = new Headers(init.headers);
init.headers.set("traceparent", currentTraceparent());
return globalThis.fetch(url, init);
},
// chat.createStartSessionAction — endpoints: "sessions" | "auth"
chat.createStartSessionAction("my-agent", {
baseURL: ({ endpoint }) => (endpoint === "sessions" ? PROXY : DIRECT),
});
```
`streamBaseURL` on `TriggerChatTransport` is kept as a backwards-compat
alias and continues to win for the `"out"` endpoint when set.
Plain-string `baseURL` still applies to every endpoint, matching prior
behavior.
|
||
|
Eric Allam
|
8b98e21b4b |
fix(sdk,core): cache realtime-stream credentials per slot with refresh on writer failure (#3658)
## Summary Hot-loop writers — `streams.writer` / `streams.pipe` on the run-scoped side, `chat.response.write` / `chat.stream.*` on the session side — were issuing a fresh `PUT` to mint S2 credentials for every chunk. On run streams, each PUT also pushed the streamId onto `TaskRun.realtimeStreams`, so a chat-agent turn writing N chunks produced N PUTs and N duplicate array pushes against the same row. The SDK now caches the initialize response per cache slot: `(runId, key)` for run streams, the session id for session streams. First call PUTs as before; subsequent calls reuse the cached promise. Hot-loop writers do one PUT per slot for the lifetime of the cache. S2 access tokens have a 1-day TTL. If a writer's `wait()` rejects (auth error, expired token, network blip), the cache evicts the matching slot so the next call re-PUTs and mints fresh credentials, identity-checked so a concurrent caller's fresh promise isn't accidentally cleared. ## chat.agent guardrail `streams.pipe / writer / append / read` called inside a `chat.agent` run now logs a one-time warning pointing at `chat.response.write` / `chat.stream.*` — `streams.*` is run-scoped and isn't visible on the chat session. The ai-chat docs are updated to drop the old guidance toward run-scoped streams. |
||
|
Daniel Sutton
|
906d5fafb6 |
feat(mollifier): trigger burst smoothing — Phase 1 (monitoring) (#3614)
## Summary - Introduce the Mollifier: a Redis-backed buffer for `trigger()` API calls during traffic spikes, with a per-env trip evaluator and a drainer ack-loop. - Phase 1 is dual-write monitoring — every mollified trigger is buffered to Redis AND continues to `engine.trigger`. No customer-facing behaviour change. - Telemetry events: `mollifier.would_mollify`, `mollifier.buffered`, `mollifier.drained`, plus the `mollifier.decisions` counter. - Gated behind a feature flag (default off). ## Test plan - [x] `pnpm run test --filter @trigger.dev/redis-worker` - [x] `pnpm run test --filter webapp -- mollifier` - [x] Manual: with flag off, no behaviour change vs main - [x] Manual: with flag on + threshold lowered, observe `mollifier.buffered` + `mollifier.drained` log pairs with matching `runId` --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
||
|
Eric Allam
|
6c9f1f197e |
chore: parameterize docker host ports and wire s2-lite by default (#3642)
## Summary
Two papercuts new contributors hit running this repo locally:
1. Fresh clones default to v1 (Redis-only) realtime streams, so Sessions
and `chat.agent` error with `"S2 configuration is missing"`, even though
the `s2` service is already in `docker/docker-compose.yml` and pre-seeds
a `trigger-local` basin. Wire `REALTIME_STREAMS_S2_*` to it in
`.env.example` so the new-contributor flow just works. (Also drop the s2
healthcheck: the image is distroless, so the `wget` check always reports
unhealthy.)
2. Two clones can't both run `pnpm run docker` because ports, project
name, and container names are all hardcoded. Parameterize every host
port as `${VAR:-default}`, drive the project name via
`COMPOSE_PROJECT_NAME` (with a top-level `name:` field as the default),
prefix container names with `${CONTAINER_PREFIX:-}`, and pass
`--env-file .env` so compose reads the same root `.env` the webapp does.
The "Running multiple instances side by side" block in `.env.example`
lists every overridable knob.
Also split the optional services (`electric-shard-1`, `ch-ui`,
`toxiproxy`, `nginx-h2`, `otel-collector`, `prometheus`, `grafana`) into
`docker-compose.extras.yml` behind a new `pnpm run docker:full` script.
The core stack keeps everything the webapp actually needs to boot:
postgres, redis, electric, minio, clickhouse + migrator, s2-lite.
Defaults match every previous hardcoded value, so existing setups keep
working without touching `.env`.
## Test plan
- [x] `pnpm run docker` on a clean clone brings up the core services on
the standard ports under the `triggerdotdev-docker` project name.
- [x] Setting `COMPOSE_PROJECT_NAME=triggerdotdev-docker-alt` + the
`*_HOST_PORT` overrides in `.env` brings up a second stack alongside the
default one with no port or container-name clashes.
- [x] Webapp boots cleanly against the default `.env.example` values;
`/healthcheck` returns 200, no S2 errors.
- [x] s2-lite basin `trigger-local` accepts an append + read via the
same REST endpoints the webapp uses.
- [x] `pnpm run docker:full` brings up the optional services alongside
the core ones in the same project.
|
||
|
Eric Allam
|
82853debea |
feat(webapp,core,sdk,cli): bound session.out via per-turn trim (#3644)
## Summary Long-running chat agents were filling `session.out` forever — every `chat.agent` turn appended to the same S2 stream with no trim, and the Sessions dashboard re-streamed the entire history from `seq_num=0` on every page load. After this change the agent appends an S2 `trim` command record after each `trigger:turn-complete`, pointing back at the previous turn-complete's seq_num. `session.out` stays roughly one turn long at steady state, regardless of session age. `trigger:turn-complete` and `trigger:upgrade-required` move from `chunk.type`-shaped data records into header-form control records under a uniform `trigger-control` namespace. Built-in transports (`TriggerChatTransport`, `AgentChat`, the dashboard's `AgentView`) handle the new shape transparently. Custom transports need a one-line filter on the `trigger-control` header — see the rewritten "Records on session.out" section in the client-protocol docs. The Sessions detail page in the dashboard fetches the agent's per-turn S3 snapshot via a presigned URL and seeds the transcript view, then SSE-tails from the snapshot's `lastOutEventId`. Bandwidth and time-to-first-render scale with unread turns instead of session lifetime. Resume contract is now explicit: single-turn-boundary resume always works (the prior turn-complete is still on the stream), the S2 trim is eventually consistent over 10-60s, and multi-turn-away resume falls back to a snapshot reload. |
||
|
Eric Allam
|
f88d4018cc |
fix(webapp): dedupe realtimeStreams array push on stream create (#3653)
## Summary
The PUT handler at `/realtime/v1/streams/:runId/:target/:streamId` ran
`taskRun.update({ realtimeStreams: { push: streamId } })` on every call,
even when the `streamId` was already present. SDK call patterns that
re-initialize the same stream key on every chunk produce a per-write row
UPDATE, duplicate entries pile up in the array, and the row-lock + TOAST
rewrite cost grows unbounded on long-running stream sessions.
## Fix
Mirror the sibling append handler: read the array first and only push
when the `streamId` isn't already present. Identical behavior for
first-time stream creation; repeat creates short-circuit to a single
indexed read. The dashboard's per-run stream listing keeps working
because the first create still records the entry.
## Test plan
- [ ] A fresh PUT for a new `(run, streamId)` adds the entry to the
array
- [ ] A repeat PUT for the same pair leaves the array unchanged
- [ ] 404 is returned when the run doesn't exist; 400 when the run is
completed
|
||
|
Daniel Sutton
|
9623e88b05 |
fix(webapp): collapse Prisma P1001 errors into a single Sentry issue (#3632)
## Summary
- Adds a `beforeSend` rule in `apps/webapp/sentry.server.ts` that
collapses Prisma `P1001` ("Can't reach database server") errors into a
single Sentry issue regardless of which call site threw, by setting
`event.fingerprint = ["prisma-p1001-db-unreachable"]` and tagging
`db_unreachable:true`.
- Matches both `err.code === "P1001"` (Prisma's `KnownRequestError` when
a connection drops mid-query) and `err.errorCode === "P1001"`
(`InitializationError` when the client fails to connect at startup).
- Implemented as a small extensible `FINGERPRINT_RULES` table so further
fan-out errors can be added with one entry.
## Verification
End-to-end verified locally with `debug: true` on the SDK:
- Real Prisma `P1001` thrown from a loader (DB stopped mid-request) is
captured by Sentry's Remix auto-instrumentation
- `beforeSend` fires with `originalException.code === "P1001"`, rule
matches
- `event.fingerprint = ["prisma-p1001-db-unreachable"]` and
`tags.db_unreachable = "true"` applied
- Event lands in Sentry under the new fingerprint
## Test plan
- [ ] Deploy to staging; confirm P1001 events appear under a single
`prisma-p1001-db-unreachable` issue rather than fanning out
- [ ] Confirm `db_unreachable:true` tag is filterable in Sentry
- [ ] Verify non-P1001 errors are unaffected (event passes through
`beforeSend` untouched)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
|
||
|
Eric Allam
|
55fa2d4967 |
fix(cli): TRIGGER_BUILD_SKIP_REWRITE_TIMESTAMP escape hatch for local self-hosted builds (#3618)
## Summary Local self-hosted deploys (`trigger deploy --local-build --push --builder orbstack` or any other buildx setup using the **docker** driver) fail at the push step with: ``` ERROR: failed to build: failed to solve: exporter option "rewrite-timestamp" conflicts with "unpack" ``` The docker driver auto-enables `unpack=true` when pushing, and that's incompatible with `rewrite-timestamp` (which the CLI sets for reproducible-build hashing). Adds a simple env-var opt-out so contributors can keep using their default builder. The flag is only read by the local-build code path; remote/cloud builds are unaffected. ```bash TRIGGER_BUILD_SKIP_REWRITE_TIMESTAMP=1 \ pnpm exec trigger deploy --profile default --local-build --push --builder orbstack ``` The trade-off: skipping `rewrite-timestamp` means layer timestamps reflect actual build time, so two identical builds produce different layer hashes. Fine for a local-dev registry; the only real consumer of timestamp-stability is registry-layer cache hit rates. ## Test plan - [x] Manual: ran `trigger deploy --profile default --local-build --push --builder orbstack` against the localhost webapp + a local Docker registry on port 5001 — first failed with the rewrite-timestamp/unpack error, then succeeded after setting `TRIGGER_BUILD_SKIP_REWRITE_TIMESTAMP=1`. - [x] Full chat.agent smoke sweep (15 tests, including suspend/resume, deepResearch subtask, AgentChat orchestrator) against the deployed image — all pass. 🤖 Generated with [Claude Code](https://claude.com/claude-code) |
||
|
Eric Allam
|
627e059298 |
feat(trigger-sdk): add streamBaseURL to TriggerChatTransport (#3641)
`TriggerChatTransport` had a single `baseURL` option covering both the
`.in/append` POSTs and the long-lived `.out` SSE subscription. Customers
wanting to route the SSE through a proxy (e.g. a Cloudflare worker
capturing JA4 fingerprints for bot detection) had to send every append
through the proxy too, adding a hop to every user message.
New optional `streamBaseURL` overrides the SSE base URL only; appends
keep using `baseURL`. Falls back to `baseURL` when unset, so existing
transports are unchanged.
```ts
const transport = new TriggerChatTransport({
task: "ai-chat",
baseURL: "https://api.trigger.dev",
streamBaseURL: "https://chat-proxy.example.com",
accessToken,
startSession,
});
```
Verified with a new test in `chat.test.ts` that asserts `.in/append`
routes through `baseURL` and `.out` SSE routes through `streamBaseURL`.
All existing tests still pass.
|
||
|
nicktrn
|
a8280f125c |
ci: fix code path filter negation (#3637)
`dorny/paths-filter` defaults to OR semantics across the pattern array, so the leading `**` matched every file and the `!...` excludes were no-ops. The `code` filter has been returning `true` for every PR since #3615. Split into two filter steps: `code` moves into its own step with `predicate-quantifier: every` so excludes actually subtract. The two re-include workflow files become a separate `typecheck_self` filter that the `typecheck` job ORs into its `if:`. Side effect: workflow-file-only PRs that don't touch `pr_checks.yml` or `typecheck.yml` no longer trigger typecheck. Previously they did because the filter was broken-true. |
||
|
Eric Allam
|
05d3ab1059 |
docs(clickhouse): require max+1 numbering and idempotent DDL (#3633)
## Summary Codify two rules for ClickHouse migration authors that came out of the 029/030 ordering incident on the TRI-9367 test cloud deploy: 1. **Number files to `max(existing) + 1`, never slot in below the latest.** Goose runs in strict mode in the cloud deploy pipeline and refuses to apply a missing version below the current version — slotting a file in below an already-applied number blocks the next deploy. 2. **DDL must be idempotent** (`ADD COLUMN IF NOT EXISTS`, `DROP COLUMN IF EXISTS`, `CREATE TABLE IF NOT EXISTS`, etc.) so a retry or out-of-order apply (`goose up --allow-missing` for local recovery, manual fixups) is a no-op rather than an error. ## Where the rules live - `internal-packages/clickhouse/CLAUDE.md` — full rules + example for migration authors (and AI agents writing migrations). - `.claude/REVIEW.md` — added a 🔴 finding under "What makes a 🔴 Important finding" so PR reviewers flag either fault as blocking. The existing migration files are left untouched; the idempotency requirement applies going forward. ## Test plan - [ ] Next ClickHouse migration PR uses `IF NOT EXISTS` / `IF EXISTS` forms - [ ] No new migration files numbered below an already-applied version on test/prod |
||
|
Eric Allam
|
032b5a117a |
fix(clickhouse): renumber task_kind migration 029 → 031 (#3631)
## Summary Renumber `029_add_task_kind_to_task_runs_v2.sql` → `031_add_task_kind_to_task_runs_v2.sql` to fix a deploy-blocking out-of-order migration, and make the DDL idempotent with `ADD COLUMN IF NOT EXISTS` / `DROP COLUMN IF EXISTS`. ## Root cause - Migration `030_create_sessions_v1.sql` landed on main on 2026-04-28 (PR #3417) and was applied to test cloud ClickHouse on a subsequent deploy. Current goose version on test ClickHouse: **30**. - Migration `029_add_task_kind_to_task_runs_v2.sql` was authored later on 2026-05-10 as part of the Sessions primitive PR series (`be1a6cf8`). - The next test cloud deploy failed because goose strict-mode refused to apply a missing version *before* the current version: ``` goose run: error: found 1 missing migrations before current version 30: version 29: 029_add_task_kind_to_task_runs_v2.sql ``` ## Fix 1. **Rename to `031_*`** (next available number after 030). Goose now treats it as a new migration after 030 and applies it cleanly on test/prod where the column does not yet exist. 2. **Make the DDL idempotent** (`ADD COLUMN IF NOT EXISTS`). The original 029 may have been applied in environments that ran goose with `--allow-missing` (e.g. some local dev databases) — those would have the column already, and the rename causes goose to see 031 as new and re-attempt the ADD. Idempotent DDL keeps that path safe. The `Down` mirrors with `DROP COLUMN IF EXISTS`. ## Test plan - [ ] Test cloud deploy (after this lands) successfully runs the ClickHouse migration step - [ ] `task_kind` column shows up on `trigger_dev.task_runs_v2` post-migration - [ ] Local environments that had previously applied 029 do not error on the next `goose up` |
||
|
Eric Allam
|
5788573b4f |
chore: enter prerelease mode (rc) to ship v4.5.0-rc.0 (#3630)
## Summary Adds `.changeset/pre.json` to put the repo into changesets pre mode with dist-tag `rc`. After this merges, the changesets bot regenerates the existing release PR as `chore: release v4.5.0-rc.0`. Merging that PR publishes the first release candidate of 4.5.0 to npm under `@rc`. The pre-mode plumbing landed in #3628. The release content (chat.agent + sessions + ai prompts + dashboard server-changes) landed in #3629. ## What ships when the bot PR merges Under dist-tag `rc`: - `@trigger.dev/{sdk,core,build,react-hooks,redis-worker,plugins,python,rsc,schema-to-json}@4.5.0-rc.0` - `trigger.dev@4.5.0-rc.0` Plus: - Docker image `ghcr.io/triggerdotdev/trigger.dev:v4.5.0-rc.0` (immutable tag only — `:v4-beta` is not touched) - Helm chart `oci://ghcr.io/triggerdotdev/charts/trigger.dev:4.5.0-rc.0` - GitHub release `v4.5.0-rc.0` marked as Pre-release (no Latest badge) What does NOT happen: - npm `latest` stays at 4.4.6 - No marketing-site changelog PR (gated on `is_prerelease != 'true'`) - Docker `:latest` not touched (we never push it anyway in this repo) ## Iteration For subsequent rc.N: add a regular changeset to main, bot regenerates the release PR as `v4.5.0-rc.N`. Merge to ship. ## Exiting pre mode When ready to ship stable: `pnpm exec changeset pre exit`, push, merge regenerated PR. That publishes `4.5.0` under `latest` and fires the marketing-site dispatch. |
||
|
Eric Allam
|
eedde2793d |
chore: rewrite v4.5.0 release content around AI Agents (#3629)
## Summary
Refocuses the v4.5.0 changeset and server-changes content on the
public-facing AI features story, replacing the pre-release-internal diff
framing that had accumulated in `.changeset/` and `.server-changes/`.
Pairs with the RC support PR — the next bot regeneration will pick up
this content.
## What's in here
### Changeset rewrites
- **`chat-agent.md` rewritten as the headline AI Agents entry** —
written from the `docs/ai-chat/` surface (not from internal pre-release
diffs). Covers useChat integration, multi-turn durability via Sessions,
lifecycle hooks, stop generation, tool approvals (HITL), pending
messages + background injection, actions, typed state primitives,
`chat.toStreamTextOptions()`, multi-tab coordination, network
resilience, and the first-turn fast path (`chat.headStart`).
- **New `ai-prompts.md`** — announces the Prompts feature publicly for
the first time. Code-defined templates, deploy-versioning, dashboard
overrides, AI SDK telemetry integration, `chat.agent` integration via
`chat.prompt.set()` + `chat.toStreamTextOptions()`, full management SDK.
- **`sessions-primitive.md` expanded** — calls out
`tasks.triggerAndSubscribe()` and `sessions.list` as standalone
primitives (not just chat.agent infrastructure).
- **`chat-agent-on-boot-hook.md` trimmed** — drops "if you previously…"
pre-release migration framing.
- **Deletes 4 changesets** that described pre-release-internal
migrations or were circular ("groundwork for the upcoming chat.agent" —
chat.agent ships in the same release).
### Server-changes rewrites (`.server-changes/`)
Five new entries for the dashboard surface of the AI feature set:
- Agents list page
- Agent Playground
- Sessions dashboard
- Prompts dashboard (list with usage sparklines + detail with template /
Generations / Metrics / Versions tabs + override UI)
- Models registry (provider-grouped catalog with cross-tenant usage
metrics)
- AI generation span inspector on run traces
- Runs list Task source filter (Standard / Scheduled / Agent)
- Run-detail Agent view (segmented control)
Each entry is 1–2 sentences, no bullets, no implementation file paths —
fits as a single bullet in a future changelog.
Three older `.server-changes/` files were merged or split into the
cleaner taxonomy above and deleted.
## Out of scope
Non-AI-feature server-changes (admin-tabs, queue-length-cap fix,
worker-deployment race, streamdown upgrade, etc.) and changesets
(idempotency-key cap, sigsegv retry, locals-key fix, plugin auth, region
filters, etc.) are untouched.
|
||
|
Eric Allam
|
dfa3ede209 |
feat(ci): support release candidates via changesets pre mode (#3628)
## Summary Enables shipping `X.Y.Z-rc.N` prereleases of `@trigger.dev/*` via changesets pre mode. RCs publish under the `rc` npm dist-tag, never claim `latest`, and don't trigger marketing-site changelog PRs. The plumbing is hyphen-in-version detection in `release.yml` — no separate workflow, no opt-in flag at publish time. Validated end-to-end against a sandbox repo (real npm publishes, Docker builds, Helm chart pushes, GitHub releases) before porting back. Full RC lifecycle tested: pre enter → rc.0 → iterate to rc.1 → pre exit → stable. Plus interaction with the existing release-branch hotfix flow. ## What changes ### `release.yml` - New `is_prerelease` output (hyphen-in-version) - GitHub release adds `--prerelease` flag for RC publishes (Pre-release badge, not Latest) - `dispatch-changelog` job gated on `is_prerelease != 'true'` — no marketing-site PR per RC ### Docker workflows - Removes the `:v4-beta` floating tag entirely from `publish-webapp.yml` and `publish-worker-v4.yml`. v4 is GA; the tag is a misnomer and is already inconsistent with the npm side (npm `v4-beta` dist-tag was frozen at 4.0.4 months ago while Docker `:v4-beta` kept bumping). Self-hosters should pin to a versioned tag going forward — the last value of `:v4-beta` stays frozen wherever it currently points. ### CLI version-check fix (`packages/cli-v3/src/utilities/initialBanner.ts`) Switches the "new version available" comparison from JavaScript `localeCompare` to `semver.lt`. The old comparison handled `X.Y.Z-rc.N` vs `X.Y.Z` incorrectly — a user on `4.5.0-rc.0` would never be prompted to upgrade once `4.5.0` stable shipped (lex order put the prerelease ahead of the bare version). Real semver gets this right. Stable users were never affected: the check queries the `@latest` dist-tag, which by convention never points at a prerelease. ## How an RC actually publishes after this 1. `pnpm exec changeset pre enter rc` on main, push the `pre.json` 2. Bot regenerates the release PR as `chore: release v<X.Y.Z>-rc.0` 3. Merge → `release.yml` runs `changeset publish` which reads `pre.json.tag` and publishes under `--tag rc`. GitHub release marked Pre-release. No marketing-site dispatch. 4. Iterate by adding changesets normally; bot bumps to `rc.1`, `rc.2`, … 5. When ready: `pnpm exec changeset pre exit`, push, merge regenerated PR → stable ships under `latest` and the marketing-site dispatch fires. |
||
|
Eric Allam
|
4c42f6cc0b |
feat(webapp,core,cli): filter runs by region in dashboard, API, and MCP (#3612)
## Summary
Adds a Region column and Region filter (under More filters) to the runs
list dashboard, the same filter on the public runs list API
(`filter[region]`), and a matching `region` input on the MCP `list_runs`
tool. Each run's executing region is also surfaced as a new optional
`region` field on the runs list and run retrieve responses, populated
from the worker instance group's `masterQueue` identifier.
Useful when you run tasks across multiple regions and want to slice the
runs list — or your existing run-querying scripts — by where the run
actually executed.
## Design
The filter value in the URL / API is the `masterQueue` identifier (the
same string already persisted on `TaskRun` and replicated to ClickHouse
as `worker_queue`), so the query just becomes `worker_queue IN (...)`
with no server-side translation. The Region dropdown options come from a
new resource loader backed by `RegionsPresenter`, which now also exposes
`masterQueue` alongside the existing region metadata.
```ts
// public API
const runs = await runs.list({ region: ["us-east-1", "eu-west-1"] });
// each item: { id, status, ..., region?: "us-east-1" }
```
```ts
// MCP
list_runs({ environment: "prod", region: "us-east-1" })
```
|
||
|
Eric Allam
|
454f0c949a |
perf(webapp): cache task metadata in Redis for the trigger hotpath (#3625)
## Summary The trigger-task hotpath used to early-return without a DB query when a caller passed both a queue override and a per-trigger TTL — the hottest configuration on the trigger API. Adding `triggerSource` to the resolver so the runs-list "Source" filter could distinguish STANDARD / SCHEDULED / AGENT runs removed those early-returns, costing +2 DB queries per trigger on non-locked calls and +1 on locked calls. This change caches `BackgroundWorkerTask` metadata (`ttl`, `triggerSource`, `queueId`, `queueName`) in Redis so the resolver can satisfy every caller configuration with a single `HGET` on the warm path. PG fallback on miss back-fills the cache. Follow-up to #3542. ## Design Two key spaces: - `task-meta:env:{envId}` — the "current worker" view, refreshed at every deploy promotion. 24h safety TTL. - `task-meta:by-worker:{workerId}` — used for `lockToVersion` triggers. Immutable post-create. 30d sliding TTL so historical workers age out. Cache writes use Lua scripts via `defineCommand` so `DEL` + `HSET` + `EXPIRE` land atomically — concurrent readers never see the empty intermediate state of a naive pipeline. Read-path back-fill uses single-field upserts so concurrent back-fills don't wipe each other's siblings. The cache lives behind its own `TASK_META_CACHE_REDIS_*` env-var prefix that falls back to the default `REDIS_*` set, so operators can route the cache to a dedicated Redis instance if they want. The service/instance file split (`taskMetadataCache.server.ts` for the pure class, `taskMetadataCacheInstance.server.ts` for the env-wired singleton) mirrors the existing `runsReplicationService` / `runsReplicationInstance` pattern. ## Test plan - [ ] `pnpm run typecheck --filter webapp` - [ ] `pnpm run test ./test/engine/triggerTask.test.ts --run` — 8 existing tests untouched + 5 new tests covering warm cache, cold miss with back-fill, queue + ttl path, by-worker vs env keyspace, and the promotion cache write - [ ] End-to-end against a dev worker: registering writes both keyspaces with the expected TTLs, and `redis-cli HGETALL "tr:task-meta:env:<envId>"` returns the cached entries ## Benchmark Measured `DefaultQueueManager.resolveQueueProperties` against a real Postgres + Redis (vitest `containerTest`, single-host docker). 500 sequential calls and 2,000 parallel calls (concurrency=50) per scenario, request shaped as `{ taskId, queue: "bench-queue", ttl: "5m" }` — the hot path this PR restores. ``` sequential (one in flight at a time): [noop cache (baseline)] n=500 mean=1.423ms p50=1.394ms p95=1.735ms p99=2.629ms max=11.100ms [redis cache, cold ] n=500 mean=1.346ms p50=1.283ms p95=1.688ms p99=2.463ms max=5.058ms [redis cache, warm ] n=500 mean=0.084ms p50=0.078ms p95=0.105ms p99=0.156ms max=1.129ms speedup (warm vs baseline, sequential): 16.95x parallel (concurrency=50): [noop cache (baseline)] n=2000 mean=10.069ms p50=8.850ms p95=14.718ms p99=31.887ms total=405ms ops/s=4,940 [redis cache, warm ] n=2000 mean=0.614ms p50=0.568ms p95=1.189ms p99=1.432ms total=25ms ops/s=80,389 throughput speedup (warm vs baseline, parallel): 16.27x ``` Read: - **Warm cache cuts resolver latency 17×** at p50 — from ~1.4 ms to ~78 µs per call. - **Cold cache is on par with baseline** — the extra `HGET` miss adds <50 µs against the two Postgres queries that follow, so the worst case is not worse than today. - **Under burst load (50 concurrent triggers)**, the baseline's p99 jumps to ~32 ms as Postgres connections queue up; warm stays at ~1.4 ms. The cache moves the saturation point from ~5k ops/s (PG pool) to ~80k ops/s (single-client Redis pipelining). Caveats: single-host docker, local Postgres + Redis, resolver-only measurement (excludes the rest of the trigger transaction). Prod adds region-local Redis RTT (~0.3–0.8 ms) which shifts warm absolute numbers up but keeps the ratio intact. |
||
|
Daniel Sutton
|
bff4b46b22 |
fix(webapp): log Google auth conflict as warn instead of error (#3627)
## Summary A "Google auth conflict" Sentry alert fires whenever a user signs in via Google whose Google account is linked to one user row but whose Google-provided email is now on a *different* user row. The handler in `apps/webapp/app/models/user.server.ts:236` already does the right thing — it returns the existing auth-linked user and skips the update path so neither row gets mutated — but it logs the situation with `logger.error`, which routes to Sentry as an exception and pages the on-call channel. There's no exception to chase here: the branch is the intended outcome for a known data shape (user changed their email on one account after originally signing up via Google on another). Downgrading the call to `logger.warn` keeps the diagnostic record in our logs (with all the same context fields — email, both user IDs, authIdentifier) but stops it firing the production error alert. ## Change - `logger.error` → `logger.warn` for the conflict branch in `findOrCreateGoogleUser`. Context payload is unchanged. ## Test plan - [x] Typecheck only — there's no behavioural change to test, the log level is the entire diff. |
||
|
Eric Allam
|
ac02c0f709 |
fix(core): drop unique-symbol brand on LocalsKey to fix dual-package builds (#3626)
## Summary `LocalsKey<T>` (the type returned by `locals.create()`) was branded with a module-level `declare const __local: unique symbol`. Each such declaration is its own nominal type, and `tshy` emits separate `.d.ts` files for the ESM and CJS outputs — each gets its own `__local` symbol. Under certain pnpm hoisting layouts a single TypeScript compilation can resolve `LocalsKey` from both the ESM source path and the CJS dist path within the same call site, producing two structurally-incompatible variants of the same type. TS surfaces this as the misleading error: ``` Argument of type 'LocalsKey<X>' is not assignable to parameter of type 'LocalsKey<X>'. Property '[__local]' is missing in type 'LocalsKey<X>' but required in type 'BrandLocal<X>'. ``` The error has been hitting CI on PRs opened since the chat.agent stack landed (e.g. #3625 typecheck job), but doesn't reproduce on developer machines where the pnpm node_modules layout was built up incrementally. ## Fix Replace the `unique symbol` brand with an optional phantom field that carries `T` at the type level: ```ts // before declare const __local: unique symbol; type BrandLocal<T> = { [__local]: T }; export type LocalsKey<T> = BrandLocal<T> & { readonly id: string; readonly __type: unique symbol; }; // after export type LocalsKey<T> = { readonly id: string; readonly __type: symbol; /** Phantom carrier for the value type — never read at runtime. */ readonly __valueType?: T; }; ``` The ESM and CJS `.d.ts` outputs now produce structurally identical types, so cross-output resolution no longer produces a mismatch. `T` is still carried at the type level via the optional phantom field. The runtime shape is unchanged — `manager.ts` was already casting via `as unknown`, which is no longer needed. ## Test plan - [ ] `pnpm run typecheck --filter @trigger.dev/core --filter @trigger.dev/sdk` - [ ] `pnpm run build --filter @trigger.dev/core --filter @trigger.dev/sdk` (clean rebuild) — confirms the ESM and CJS dist `.d.ts` outputs no longer carry distinct `unique symbol` declarations - [ ] `pnpm --filter @trigger.dev/core test test/mockTaskContext.test.ts --run` - [ ] `pnpm --filter @trigger.dev/sdk test test/mockChatAgent.test.ts --run` |
||
|
nicktrn
|
0510fd6661 |
ci: skip typecheck for refs and non-code file PRs (#3624)
Follow-up to #3615. The `code` filter currently fires typecheck for any change outside `docs/`, `.changeset/`, `hosting/`, or `.github/` - so a docs-only PR like #3623 (touching `references/ai-chat/.env.example` + `README.md`) triggered the typecheck job. None of the `references/*` packages declare a `typecheck` script either, so even when a real code change lands there, `turbo run typecheck` skips them. Running the job is pure cost. Tightens the filter to also exclude: - `references/**` - playground projects, none of them contribute to `turbo run typecheck` today - `**/*.md` - markdown anywhere - `**/.env.example` - example env files anywhere Two known gaps left open: - references/ have no real CI typecheck coverage. Separate question - either add `typecheck` scripts to each (or top-level `tsc -p`), or accept playground status. - `changes` job still runs (it's a path-filter step) but the dependent jobs all skip on irrelevant PRs. |
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Eric Allam
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e59291e35f | docs(ai-chat): clarify local setup with .env.example (#3623) |