v.docker.4.5.3
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| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 github-actions[bot]
|
9f76c92021 |
chore: release v4.5.3 (#4219)
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## Summary 1 improvement, 2 bug fixes. ## Breaking changes - Removed support for the end-of-life v3 `trigger dev` CLI. Starting a dev session with an old v3 CLI now returns an upgrade message instead of connecting - upgrade to the v4 CLI to continue using `trigger dev`. ([#4198](https://github.com/triggerdotdev/trigger.dev/pull/4198)) ## Bug fixes - Fix TS2742 ("inferred type cannot be named") when exporting a `chat.agent` from a project with declaration emit: `ChatTaskWirePayload` and `ChatInputChunk` are now declared in the public `@trigger.dev/sdk/chat` subpath, so inferred agent types emit portable declarations and the wire types are directly importable. ([#4218](https://github.com/triggerdotdev/trigger.dev/pull/4218)) ## Server changes These changes affect the self-hosted Docker image and Trigger.dev Cloud: - Reduce primary database load on the runs page by serving its empty-state check from ClickHouse instead of Postgres. ([#4202](https://github.com/triggerdotdev/trigger.dev/pull/4202)) - Fixed submitting your email on the login page reloading back to an empty form instead of showing the magic link confirmation screen. ([#4215](https://github.com/triggerdotdev/trigger.dev/pull/4215)) <details> <summary>Raw changeset output</summary> # Releases ## @trigger.dev/build@4.5.3 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.3` ## trigger.dev@4.5.3 ### Patch Changes - Updated dependencies: - `@trigger.dev/build@4.5.3` - `@trigger.dev/core@4.5.3` - `@trigger.dev/schema-to-json@4.5.3` ## @trigger.dev/python@4.5.3 ### Patch Changes - Updated dependencies: - `@trigger.dev/sdk@4.5.3` - `@trigger.dev/build@4.5.3` - `@trigger.dev/core@4.5.3` ## @trigger.dev/react-hooks@4.5.3 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.3` ## @trigger.dev/redis-worker@4.5.3 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.3` ## @trigger.dev/rsc@4.5.3 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.3` ## @trigger.dev/schema-to-json@4.5.3 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.3` ## @trigger.dev/sdk@4.5.3 ### Patch Changes - Fix TS2742 ("inferred type cannot be named") when exporting a `chat.agent` from a project with declaration emit: `ChatTaskWirePayload` and `ChatInputChunk` are now declared in the public `@trigger.dev/sdk/chat` subpath, so inferred agent types emit portable declarations and the wire types are directly importable. ([#4218](https://github.com/triggerdotdev/trigger.dev/pull/4218)) - Updated dependencies: - `@trigger.dev/core@4.5.3` ## @trigger.dev/core@4.5.3 </details> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> |
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|
Eric Allam
|
25254d0201 |
fix(sdk): make inferred chat agent types portable for declaration emit (#4218)
## Summary
Exporting a `chat.agent` from a project with `declaration: true` failed
with TS2742: the inferred type of the agent references
`ChatTaskWirePayload`, which was declared in an internal module not
reachable through the package exports map, so tsc could only name it via
a file path into `node_modules` and refused to emit. Consumers had to
hand-mirror the wire type and annotate their export.
## Fix
`ChatTaskWirePayload` and `ChatInputChunk` are now declared in
`@trigger.dev/sdk/chat` (a public subpath) and re-exported type-only
from the internal shared module, so every internal import is unchanged
and the browser/server module split is untouched. Declaration emit for
an inferred agent type now produces a portable specifier:
```ts
export declare const chatAgent: Task<"chat-agent", import("@trigger.dev/sdk/chat").ChatTaskWirePayload<MyUIMessage, MyClientData>, unknown>;
```
As a side effect the wire types are now directly importable, which is
what affected users were reconstructing by hand.
## Verification
Reproduced against the built 4.5.2-equivalent package: a consumer
fixture with declaration emit produced `import("<file
path>/ai-shared.js")` in its declaration (the TS2742 trigger); after the
fix the same fixture emits the public specifier with zero diagnostics. A
regression test now builds that consumer simulation in a temp directory
on every test run: it copies the built package into a fake node_modules
(copied, not symlinked, because tsc only applies exports-map naming to
real node_modules paths), compiles the fixture with the TypeScript API,
and asserts no errors, no relative-path imports, and no internal module
references in the emit.
|
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github-actions[bot]
|
188f008715 |
chore: release v4.5.2 (#4180)
## Summary 4 improvements, 5 bug fixes. ## Improvements - Add SDK and API client helpers for run bulk actions. ([#4105](https://github.com/triggerdotdev/trigger.dev/pull/4105)) - Large batch payloads now offload to object storage instead of riding inline in the trigger request. `batchTrigger` and `batchTriggerAndWait` (and the by-id and by-task variants) offload any per-item payload over 128KB before sending, the same way single `trigger` and `triggerAndWait` already do, so a big batch no longer blows past the API body limit. ([#4165](https://github.com/triggerdotdev/trigger.dev/pull/4165)) - Removed internal helpers that were only used by the end-of-life v3 self-hosted compute providers. ([#4194](https://github.com/triggerdotdev/trigger.dev/pull/4194)) - Add an `onEvent` callback to `TriggerChatTransport` / `useTriggerChatTransport` that emits typed lifecycle events for sends, stream connects, first chunk, and turn completion. Send-success metrics, time-to-first-token, and "sent but never answered" watchdogs become a few lines of client code. ([#4187](https://github.com/triggerdotdev/trigger.dev/pull/4187)) ```ts onEvent: (event) => { if (event.type === "message-sent") metrics.timing("chat.send_ms", event.durationMs); if (event.type === "first-chunk") metrics.timing("chat.ttft_ms", event.sinceSendMs ?? 0); }, ``` ## Bug fixes - fix(cli): honor the MCP server's `--dev-only` flag ([#4199](https://github.com/triggerdotdev/trigger.dev/pull/4199)) - Fix chat turns that throw (for example from an `onTurnStart` hook) leaking their message listener, which lost or duplicated messages sent during later turns. ([#4176](https://github.com/triggerdotdev/trigger.dev/pull/4176)) - Fix `chat.agent` and `chat.createSession` permanently dropping user messages when several arrived during a single turn: every buffered message is now dispatched as its own turn instead of only the first. ([#4176](https://github.com/triggerdotdev/trigger.dev/pull/4176)) - Fix chat continuation runs replaying already-answered messages: turns delivered while the run was suspended now advance the session.in resume cursor, so a new run picks up exactly where the previous one left off. ([#4176](https://github.com/triggerdotdev/trigger.dev/pull/4176)) - Fix `chat.createSession` swallowing a message sent shortly after stopping a turn: the turn's message listener now detaches when the stream settles, so those messages run as the next turn. ([#4176](https://github.com/triggerdotdev/trigger.dev/pull/4176)) <details> <summary>Raw changeset output</summary> # Releases ## @trigger.dev/build@4.5.2 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.2` ## trigger.dev@4.5.2 ### Patch Changes - fix(cli): honor the MCP server's `--dev-only` flag ([#4199](https://github.com/triggerdotdev/trigger.dev/pull/4199)) - Updated dependencies: - `@trigger.dev/core@4.5.2` - `@trigger.dev/build@4.5.2` - `@trigger.dev/schema-to-json@4.5.2` ## @trigger.dev/core@4.5.2 ### Patch Changes - Add SDK and API client helpers for run bulk actions. ([#4105](https://github.com/triggerdotdev/trigger.dev/pull/4105)) - Large batch payloads now offload to object storage instead of riding inline in the trigger request. `batchTrigger` and `batchTriggerAndWait` (and the by-id and by-task variants) offload any per-item payload over 128KB before sending, the same way single `trigger` and `triggerAndWait` already do, so a big batch no longer blows past the API body limit. ([#4165](https://github.com/triggerdotdev/trigger.dev/pull/4165)) - Removed internal helpers that were only used by the end-of-life v3 self-hosted compute providers. ([#4194](https://github.com/triggerdotdev/trigger.dev/pull/4194)) ## @trigger.dev/python@4.5.2 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.2` - `@trigger.dev/sdk@4.5.2` - `@trigger.dev/build@4.5.2` ## @trigger.dev/react-hooks@4.5.2 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.2` ## @trigger.dev/redis-worker@4.5.2 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.2` ## @trigger.dev/rsc@4.5.2 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.2` ## @trigger.dev/schema-to-json@4.5.2 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.2` ## @trigger.dev/sdk@4.5.2 ### Patch Changes - Add SDK and API client helpers for run bulk actions. ([#4105](https://github.com/triggerdotdev/trigger.dev/pull/4105)) - Fix chat turns that throw (for example from an `onTurnStart` hook) leaking their message listener, which lost or duplicated messages sent during later turns. ([#4176](https://github.com/triggerdotdev/trigger.dev/pull/4176)) - Fix `chat.agent` and `chat.createSession` permanently dropping user messages when several arrived during a single turn: every buffered message is now dispatched as its own turn instead of only the first. ([#4176](https://github.com/triggerdotdev/trigger.dev/pull/4176)) - Fix chat continuation runs replaying already-answered messages: turns delivered while the run was suspended now advance the session.in resume cursor, so a new run picks up exactly where the previous one left off. ([#4176](https://github.com/triggerdotdev/trigger.dev/pull/4176)) - Fix `chat.createSession` swallowing a message sent shortly after stopping a turn: the turn's message listener now detaches when the stream settles, so those messages run as the next turn. ([#4176](https://github.com/triggerdotdev/trigger.dev/pull/4176)) - Add an `onEvent` callback to `TriggerChatTransport` / `useTriggerChatTransport` that emits typed lifecycle events for sends, stream connects, first chunk, and turn completion. Send-success metrics, time-to-first-token, and "sent but never answered" watchdogs become a few lines of client code. ([#4187](https://github.com/triggerdotdev/trigger.dev/pull/4187)) ```ts onEvent: (event) => { if (event.type === "message-sent") metrics.timing("chat.send_ms", event.durationMs); if (event.type === "first-chunk") metrics.timing("chat.ttft_ms", event.sinceSendMs ?? 0); }, ``` - Large batch payloads now offload to object storage instead of riding inline in the trigger request. `batchTrigger` and `batchTriggerAndWait` (and the by-id and by-task variants) offload any per-item payload over 128KB before sending, the same way single `trigger` and `triggerAndWait` already do, so a big batch no longer blows past the API body limit. ([#4165](https://github.com/triggerdotdev/trigger.dev/pull/4165)) - Updated dependencies: - `@trigger.dev/core@4.5.2` ## @trigger.dev/plugins@4.5.2 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.2` </details> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> |
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|
Eric Allam
|
fbd86b6ee9 |
feat(sdk): onEvent observability callback on the chat transport (#4187)
## Summary
`sendMessage` from `useChat` gives no feedback about whether a message
actually reached the backend, and the `fetch` override is wire-level: it
requires knowing endpoint semantics, cannot attribute requests to
messages, and misses the headStart first-turn POST entirely. This adds a
typed `onEvent` observability callback to `TriggerChatTransport` /
`useTriggerChatTransport` so send-success metrics, time-to-first-token,
and "sent but never answered" watchdogs become a few lines of client
code.
## Example
```ts
const transport = useTriggerChatTransport({
task: "my-chat",
accessToken: ({ chatId }) => mintChatAccessToken(chatId),
onEvent: (event) => {
switch (event.type) {
case "message-sent":
// Durably acknowledged by the session's input stream, not just "request accepted".
metrics.increment("chat.message_sent", { source: event.source });
metrics.timing("chat.send_duration_ms", event.durationMs);
break;
case "message-send-failed":
metrics.increment("chat.message_send_failed", { status: event.status });
break;
case "first-chunk":
metrics.timing("chat.ttft_ms", event.sinceSendMs ?? 0);
break;
case "turn-completed":
metrics.timing("chat.turn_duration_ms", event.sinceSendMs ?? 0);
break;
}
},
});
```
## Design
One callback, one discriminated union (`ChatTransportEvent`):
- `message-sent` / `message-send-failed`: terminal send outcomes with
`messageId`, a `source` discriminator (submit, regenerate, steer,
action, stop, head-start), `durationMs`, `bodyBytes`, the append's
idempotency key (`partId`, also stored on the server-side record), and
error + HTTP status on failure. `message-sent` means the append was
durably acknowledged, after any internal token-refresh retries.
- `stream-connected` (with a `resumed` flag and the cursor it connected
from), `first-chunk` (chunk type plus `sinceSendMs` for
time-to-first-token), `turn-completed` (`sinceSendMs` full-turn latency
and the agent's committed input cursor), and `stream-error` follow the
response side, so a send can be paired with the answer that should
follow it. `messageId` on response events is client-side attribution
from the last turn-producing send on that chat.
Emissions sit at the transport's existing choke points, covering every
send path uniformly (including steering and headStart, which the fetch
override cannot observe). Exceptions thrown by the callback are
swallowed: observability can never break the chat. The React hook keeps
the callback live across renders instead of freezing the first-render
closure.
## Verification
Unit tests drive the transport directly with the `fetch` override as the
network stub (send success/failure per source, stream lifecycle, resumed
flag, field enrichment, callback exceptions swallowed). Verified
end-to-end against a realistic metrics setup in the ai-chat reference
app (counters, send-duration and TTFT histograms, and both watchdogs
built purely on these events): a healthy two-turn chat produces exactly
the expected event sequence and TTFT values; an oversized append records
`message_send_failed` with status 413; and killing the worker after a
durable send fires both `sent_but_no_stream` and `sent_but_unanswered`,
reproducing and detecting the "message disappeared" failure mode that
motivated this feature.
|
||
|
Wes Mason
|
76c37ecd24 |
feat(sdk,core,webapp): offload large batch payloads to object storage (#4165)
## Summary `batchTrigger` and `batchTriggerAndWait` (and the by-id and by-task variants) now offload any per-item payload over 128KB to object storage before sending, the same way single `trigger`/`triggerAndWait` already do since [#3785](https://github.com/triggerdotdev/trigger.dev/pull/3785). A batch of large items no longer inflates the request body past the API limit. ## Demo A live local run: `batchTriggerAndWait` of 5 items × 300KB (1.5MB total). Each item offloads to object storage, so the receiver run rows hold a 65-byte `application/store` pointer instead of the 300KB body, and every item round-trips (received == sent). <img width="1000" height="494" alt="batch large-payload offload demo" src="https://github.com/user-attachments/assets/77ae3958-97d6-4b5c-ab25-39b217caefbc" /> ## Design Both the array and streaming batch paths funnel through `executeBatchTwoPhase`, so offloading happens once there: each item is measured, then offloaded through the existing `conditionallyExportPacket` when it crosses 128KB, with bounded concurrency so a big batch doesn't fire an unbounded number of presigned PUTs. Because items are offloaded before the request, SDK batches arrive as small `application/store` references, so the server-side inline offload during item ingest (parallelised in [#3777](https://github.com/triggerdotdev/trigger.dev/pull/3777)) mostly no longer fires for them. Every trigger and item also carries its pre-offload serialised size as `options.payloadSize`. The trigger span records that value, so an offloaded payload shows its real size instead of the size of the small object-store reference (previously the span measured the reference). |
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|
Chris Arderne
|
aa74e68c71 |
feat(sdk): add bulk replay to api and sdk (#4105)
## Summary
Adds SDK and API support for run bulk actions. You can now create bulk
cancel or replay actions from `@trigger.dev/sdk` using run IDs or the
same filters as `runs.list()`, then retrieve, list, poll, or abort the
action by its `bulk_` handle.
Tests, docs, changesets added.
## Design
The dashboard bulk action service now accepts structured filters instead
of reading directly from a dashboard request, so the dashboard and API
share the same creation path. Replay actions created through the API are
attributed with the existing `api` trigger source, while
dashboard-created actions keep `dashboard`.
The SDK exposes the new surface under `runs.bulk.*`, including
`targetRegion` for replay region overrides and cursor pagination for
listing bulk actions.
## Filters and runIds
Nuance on filters. If `filter` is provided, it MUST have at least one
key. This is to remove the footgun of passing no filter and selecting
all runs.
```typescript
{ action: "cancel", runIds: ["run_1"] } // valid
{ action: "cancel", runIds: [] } // invalid, min(1)
{ action: "cancel", filter: { status: "FAILED" } } // valid
{ action: "cancel", filter: {} } // invalid
{ action: "cancel", filter: {}, runIds: ["run_1"] } // invalid
```
|
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Eric Allam
|
add0a7da0a |
fix(sdk,core): stop chat sessions dropping messages that arrive during a turn (#4176)
## Summary Sending a message to a chat whose run had ended could make the message vanish: the continuation run replayed already-answered messages, never processed the new one, and a page refresh lost it entirely. Chasing that report surfaced four composing message-loss bugs in the chat session runtime; this PR fixes all of them, each with a regression test. ## The fixes 1. **Stale resume cursor.** Records delivered while a run was suspended (the waitpoint path) advanced the SSE resume counter but not the committed-consume cursor, so the `session-in-event-id` header stamped on turn-completes went stale by one record per suspended turn. Continuation boots seed from that header, which is what made them replay already-processed messages. `session.in.wait()` now advances both cursors. 2. **Only the first buffered message dispatched.** Messages arriving during a turn are consumed into a buffer whose end-of-turn pickup dispatched only the first entry; the buffer was recreated each turn, so the rest were discarded, and since consuming a record commits the cursor the loss was permanent. A continuation boot's replay delivers several records back-to-back, which put the user's new message at index 1 or later. The buffer now outlives the turn and drains one message per turn in both `chat.agent` and `chat.createSession` (whose equivalent buffer was never read at all). 3. **Post-stop window in `chat.createSession`.** The turn's message listener stayed attached through the stopped turn's post-stream work, so a message sent shortly after stopping a turn was consumed into the dead steering queue and lost. The listener now detaches when the stream settles, matching the `chat.agent` loop. 4. **Handler leak on errored turns.** A turn that threw outside the streaming section (for example from an `onTurnStart` hook) leaked its message listener. Previously that silently lost mid-turn messages; with the loop-level buffer it would have duplicated them instead. The subscription handle is now detached by the turn's catch/finally, and `chat.createSession` defensively detaches its prior turn's listener when user code exits a turn without `complete()`/`done()`. ## Verification Reproduced end-to-end with the ai-chat reference project before the fix (message consumed but never answered, two replayed turns, gone on refresh) and verified after (single clean turn, survives refresh, turn-complete cursors strictly advancing). Regression tests in `packages/trigger-sdk/test/pending-message-drain.test.ts` cover all four, each verified red against the unfixed behavior. A smoke sweep of the standard chat scenarios (basic send, multi-turn, suspend/resume, mid-stream refresh, stop, steering, cancel + continue, and the `createSession` variant) passes on the final branch state. |
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github-actions[bot]
|
c584236937 |
chore: release v4.5.1 (#4126)
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## Summary 1 improvement. ## Improvements - Extend the SSO plugin contract with WorkOS Directory Sync (SCIM) support. ([#4148](https://github.com/triggerdotdev/trigger.dev/pull/4148)) <details> <summary>Raw changeset output</summary> # Releases ## @trigger.dev/build@4.5.1 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.1` ## trigger.dev@4.5.1 ### Patch Changes - Updated dependencies: - `@trigger.dev/build@4.5.1` - `@trigger.dev/core@4.5.1` - `@trigger.dev/schema-to-json@4.5.1` ## @trigger.dev/python@4.5.1 ### Patch Changes - Updated dependencies: - `@trigger.dev/build@4.5.1` - `@trigger.dev/core@4.5.1` - `@trigger.dev/sdk@4.5.1` ## @trigger.dev/react-hooks@4.5.1 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.1` ## @trigger.dev/redis-worker@4.5.1 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.1` ## @trigger.dev/rsc@4.5.1 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.1` ## @trigger.dev/schema-to-json@4.5.1 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.1` ## @trigger.dev/sdk@4.5.1 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.1` ## @trigger.dev/core@4.5.1 ## @trigger.dev/plugins@4.5.1 ### Patch Changes - Extend the SSO plugin contract with WorkOS Directory Sync (SCIM) support. ([#4148](https://github.com/triggerdotdev/trigger.dev/pull/4148)) - Updated dependencies: - `@trigger.dev/core@4.5.1` </details> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> |
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|
Chris Arderne
|
c7861be520 |
chore: activate no-unused-vars and import linters (#4096)
Once this is merged, oxlint is at a pretty sensible baseline. **Enable `no-unused-vars`, `typescript/consistent-type-imports`, and `import/no-duplicates` lint rules** Turns on three previously-disabled oxlint rules across the monorepo and fixes all violations: - **`no-unused-vars`** – enabled as an error with standard ignore patterns: unused function arguments are ignored by default (`args: "none"`), variables/caught errors/destructured array elements prefixed with `_` are allowed, and rest siblings are permitted. - **`typescript/consistent-type-imports`** – enforced as an error; all type-only imports now use the `import type` syntax. - **`import/no-duplicates`** – enforced as an error; duplicate import statements from the same module have been merged. The remaining commits clean up the violations found across the codebase: removing unused variables/imports/type aliases, adding `_` prefixes to intentionally unused bindings, fixing duplicate imports, and converting value imports to `import type` where appropriate. |
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github-actions[bot]
|
86ef3c4979 |
chore: release v4.5.0 (#3998)
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# Trigger.dev v4.5.0
4.5.0 is the GA of the AI Agents platform. Everything built during the
prerelease line (durable agents, Sessions, AI Prompts) is now stable on
the `latest` tag, alongside a set of SDK and runtime improvements.
## AI Agents (`chat.agent`)
Run Vercel AI SDK chat completions as durable Trigger.dev tasks instead
of fragile API routes. A conversation runs as one long-lived task keyed
on `chatId`, so it survives page refreshes, network blips, redeploys,
and crashes, and every turn is a span in the dashboard.
```ts
import { chat } from "@trigger.dev/sdk/ai";
import { streamText, stepCountIs } from "ai";
import { anthropic } from "@ai-sdk/anthropic";
export const myChat = chat.agent({
id: "my-chat",
run: async ({ messages, signal }) => {
return streamText({
...chat.toStreamTextOptions(), // system prompt, compaction, steering, telemetry
model: anthropic("claude-sonnet-4-5"),
messages,
abortSignal: signal,
stopWhen: stepCountIs(15),
});
},
});
```
## Sessions
The durable primitive underneath `chat.agent`, usable on its own: a
run-aware, bidirectional stream channel keyed on a stable `externalId`
whose `.in` / `.out` streams survive run boundaries (suspend, crash,
idle-timeout, redeploy). One Session spans many runs, which makes it a
good fit for agent inboxes and approval flows.
```ts
import { sessions } from "@trigger.dev/sdk";
// Create the session and trigger its first run (idempotent on externalId)
await sessions.start({
type: "inbox",
externalId: userId,
taskIdentifier: "inbox-agent",
});
const session = sessions.open(userId);
await session.in.send({ text: "hello" });
const stream = await session.out.read({ signal: AbortSignal.timeout(30_000) });
for await (const chunk of stream) console.log(chunk); // durable across run swaps
```
## AI Prompts
Define prompt templates as code, versioned on every deploy, and override
the text or model from the dashboard without redeploying
(environment-scoped). Each generation links back to its prompt version
for usage, cost, and latency.
```ts
import { prompts } from "@trigger.dev/sdk";
import { z } from "zod";
export const supportPrompt = prompts.define({
id: "customer-support",
model: "gpt-4o",
variables: z.object({ customerName: z.string(), issue: z.string() }),
content: `You are a support agent for Acme.
Customer: {{customerName}}
Issue: {{issue}}`,
});
// Honors any active dashboard override, else the current deployed version
const resolved = await supportPrompt.resolve({ customerName: "Alice", issue: "Can't log in" });
// resolved.text, resolved.model, resolved.version
```
## `useChat` integration
`useTriggerChatTransport` is a Vercel AI SDK `ChatTransport` that runs
`useChat` over Trigger.dev realtime with no API routes. Text, tool
calls, reasoning, and `data-*` parts stream natively, and it works with
AI SDK v5, v6, and now v7.
## First-turn fast path (`chat.headStart`)
Runs the first turn in your warm server process while the agent boots in
parallel, cutting cold-start time-to-first-chunk roughly in half
(measured ~2.8s to ~1.2s). Available via the new
`@trigger.dev/sdk/chat-server` subpath.
## Human-in-the-loop, stop, and steering
The agent control surface: tool approvals (`needsApproval` +
`addToolApprovalResponse`), client-driven stop-generation, mid-execution
steering (`pendingMessages`), and between-turn context injection
(`chat.inject` / `chat.defer`), all durable across the conversation.
## Agent Skills
`skills.define({ id, path })` bundles a `SKILL.md` folder into your
deploy image. The agent gets a one-line summary up front and loads the
full instructions plus scoped `bash` / `readFile` tools on demand
(progressive disclosure), so a capability is something the model reaches
for rather than a pre-declared typed tool.
## `trigger skills` for coding assistants
`trigger skills` installs version-pinned Trigger.dev skills plus a
bundled docs snapshot into Claude Code, Cursor, GitHub Copilot, and
Codex, so your assistant's Trigger.dev knowledge stays current with your
installed SDK version. `trigger init` now offers to set up the MCP
server and skills too.
## Model library
A new Models page in the dashboard: a catalog of models grouped by
provider with context window, capabilities, and input / output pricing
per 1M tokens, plus a "Your models" tab showing per-model usage, cost,
and cache-hit sparklines from your actual traffic.
## Dev branches
Run multiple local `trigger dev` sessions in parallel (separate git
worktrees or coding agents) without runs colliding, each isolated with
its own dashboard, via `trigger dev --branch <name>`.
## `TriggerClient`
An instantiable client so one process can trigger and read across
projects, environments, and preview branches, each with its own auth and
baseURL, with no shared global state.
```ts
import { TriggerClient } from "@trigger.dev/sdk";
const prod = new TriggerClient({ accessToken: process.env.TRIGGER_PROD_KEY });
const preview = new TriggerClient({
accessToken: process.env.TRIGGER_PREVIEW_KEY,
previewBranch: "signup-flow",
});
await prod.tasks.trigger("send-email", { to: "user@example.com" });
await preview.runs.list({ status: ["COMPLETED"] });
```
## SDK and runtime
- AI SDK 7 support (v5 and v6 still supported), with OpenTelemetry
telemetry auto-wired
- Large trigger-payload offload: trigger payloads at or above 128KB
upload to object storage automatically, using the same auth and baseURL
as the trigger call
- Region support on the runs API: filter runs by region and read each
run's executing region (also on MCP `list_runs`)
- Duplicate task-id detection: `dev` and `deploy` fail with a clear
error instead of silently overwriting
- `envvars.upload` gains an `isSecret` flag to import redacted secret
variables
- Retry hardening: `TASK_MIDDLEWARE_ERROR` now retries under the task's
retry policy
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
|
||
|
Chris Arderne
|
bfa902bd18 |
chore: enable more linters (#4080)
Re-enables ~15 oxlint rules that were blanket-disabled before. |
||
|
Chris Arderne
|
b54201f986 | chore: switch to oxfmt, oxlint - add ci checks (#3977) | ||
|
Eric Allam
|
c06005b353 |
feat(webapp,sdk): in-dashboard AI agent (#4018)
## Summary Adds an in-dashboard AI agent: a chat panel, reachable from any environment page, that answers questions about your runs, errors, tasks, and analytics, diagnoses why a run failed, charts your data, reads your connected repo's source, and answers product and how-to questions. It is gated behind the `hasDashboardAgentAccess` feature flag (global or per-org, default off), so this PR ships disabled: the launcher is hidden unless the flag is enabled. ## Design The agent runs as a standalone `chat.agent` Trigger task in its own internal package, with no access to the webapp database, Prisma, or ClickHouse. It reads the user's data over the public API, acting as the user via a short-lived delegated user-actor token minted server-side each turn (never in the browser), building on [#3997](https://github.com/triggerdotdev/trigger.dev/pull/3997). The error and analytics tools use [#4005](https://github.com/triggerdotdev/trigger.dev/pull/4005) and the TRQL query API. The first turn of a new chat streams from a warm webapp route (Head Start) while the durable agent boots in parallel. Structured answers (a run-failure diagnosis card, a live chart) render through a small typed view catalog rather than arbitrary markup. A knowledge lane forwards product and how-to questions to the support assistant. Conversation history lives in a separate Drizzle-backed store on its own Postgres schema, kept as a display read-model so it can never corrupt the agent's model context. The SDK changes add an `apiClient` option to `chat.createStartSessionAction` and `chat.headStart`, and keep the Head Start tool-approval tail intact across a custom `prepareMessages` hook so prompt caching and Head Start compose. |
||
|
github-actions[bot]
|
015106d7fa |
chore: release v4.5.0-rc.7 (#3932)
📚 Publish docs / publish (push) Has been cancelled
🚀 Publish Trigger.dev Docker / typecheck (push) Failing after 4s
🚀 Publish Trigger.dev Docker / publish-worker-v4 (push) Has been skipped
🚀 Publish Trigger.dev Docker / scan-webapp (push) Has been skipped
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🚀 Publish Trigger.dev Docker / publish-worker (push) Has been skipped
🚀 Publish Trigger.dev Docker / units (push) Failing after 5s
🧭 Helm Chart Release / lint-and-test (push) Has been cancelled
🧭 Helm Chart Release / release (push) Has been cancelled
🚀 Publish Trigger.dev Docker / 📣 Dispatch main image (push) Has been cancelled
## Summary 7 improvements. ## Improvements - `@trigger.dev/sdk` now bundles the Trigger.dev agent skills and a curated snapshot of the docs those skills reference. The skills that `trigger skills` installs into your coding agent read this content from node_modules, so the guidance your AI assistant follows is pinned to the SDK version installed in your project and stays current across upgrades instead of going stale until the next reinstall. ([#3937](https://github.com/triggerdotdev/trigger.dev/pull/3937)) - Running a CLI command like `dev`, `deploy`, `preview`, or `update` before initializing a project no longer crashes with a raw `Cannot find matching package.json` stack trace. The CLI now detects the missing project and points you to `npx trigger.dev@latest init` instead. ([#3929](https://github.com/triggerdotdev/trigger.dev/pull/3929)) - The agent skills installed by `trigger skills` are now namespaced with a `trigger-` prefix (e.g. `trigger-authoring-tasks`, `trigger-getting-started`) so they don't collide with unrelated skills in your coding agent's skills directory. Adds a `trigger-cost-savings` skill for auditing and reducing compute spend (right-sizing machines, `maxDuration`, batching, debounce), and `@trigger.dev/sdk` now bundles the full Trigger.dev documentation so your agent can read the complete, version-pinned reference directly from node_modules. ([#3970](https://github.com/triggerdotdev/trigger.dev/pull/3970)) - The run span API response now includes `cachedCost` and `cacheCreationCost` on the `ai` object, alongside the existing `inputCost` / `outputCost` / `totalCost`. `inputCost` reflects only the non-cached input, so these fields let you reconstruct the full cost breakdown for prompt-cached calls. ([#3958](https://github.com/triggerdotdev/trigger.dev/pull/3958)) - `chat.headStart` now works with the `chat.customAgent` and `chat.createSession` backends, not only `chat.agent`. The warm step-1 response hands over to your loop the same way it does for a managed agent. ([#3963](https://github.com/triggerdotdev/trigger.dev/pull/3963)) In a `chat.customAgent` loop, consume the handover on turn 0: ```ts const conversation = new chat.MessageAccumulator(); const { isFinal, skipped } = await conversation.consumeHandover({ payload }); if (skipped) return; // warm handler aborted, so exit without a turn if (isFinal) { await chat.writeTurnComplete(); // step 1 is the response, no streamText } else { const result = streamText({ model, messages: conversation.modelMessages, tools }); // Pass originalMessages so the handed-over tool round merges into the // step-1 assistant instead of starting a new message. const response = await chat.pipeAndCapture(result, { originalMessages: conversation.uiMessages, }); if (response) await conversation.addResponse(response); } ``` With `chat.createSession`, the iterator surfaces it as `turn.handover`; call `turn.complete()` with no argument on a final handover. The lower-level `chat.waitForHandover()` and `accumulator.applyHandover()` are also exported for hand-rolled loops. - Cache your chat agent's system prompt with Anthropic prompt caching. `chat.toStreamTextOptions()` now emits the system prompt as a cacheable message when you opt in, so a large, stable system block is billed at cache-read rates on every turn instead of full price. ([#3952](https://github.com/triggerdotdev/trigger.dev/pull/3952)) ```ts // at the streamText call site (Anthropic sugar) streamText({ ...chat.toStreamTextOptions({ cacheControl: { type: "ephemeral" } }), messages, }); // provider-agnostic equivalent chat.toStreamTextOptions({ systemProviderOptions: { anthropic: { cacheControl: { type: "ephemeral" } } }, }); // or where the prompt is defined chat.prompt.set(SYSTEM_PROMPT, { providerOptions: { anthropic: { cacheControl: { type: "ephemeral" } } }, }); ``` Without an option, `system` stays a plain string. Pairs with a `prepareMessages` cache breakpoint to cache the conversation prefix across turns too. - Three fixes for custom agent loops (`chat.customAgent`, `chat.createSession`, and hand-rolled `MessageAccumulator` loops): ([#3936](https://github.com/triggerdotdev/trigger.dev/pull/3936)) - Continuation runs no longer replay already-answered user messages into the first turn. The `.in` resume cursor is now seeded before any listener attaches (the same boot logic `chat.agent` uses), so a chat that continues after a cancel, crash, or upgrade only sees genuinely new messages. - Steering a hand-rolled loop mid-stream no longer wipes the in-flight assistant response. `chat.pipeAndCapture` now stamps a server-generated message id on the stream, so a `prepareStep` injection keeps the partial text instead of replacing the message. - Task-backed tools (`ai.toolExecute`) now work from custom agent loops: the parent's session is threaded to the child run, so child tasks can stream progress into the chat with `chat.stream.writer({ target: "root" })` instead of failing with "session handle is not initialized". <details> <summary>Raw changeset output</summary> ⚠️⚠️⚠️⚠️⚠️⚠️ `main` is currently in **pre mode** so this branch has prereleases rather than normal releases. If you want to exit prereleases, run `changeset pre exit` on `main`. ⚠️⚠️⚠️⚠️⚠️⚠️ # Releases ## @trigger.dev/build@4.5.0-rc.7 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.7` ## trigger.dev@4.5.0-rc.7 ### Patch Changes - `@trigger.dev/sdk` now bundles the Trigger.dev agent skills and a curated snapshot of the docs those skills reference. The skills that `trigger skills` installs into your coding agent read this content from node_modules, so the guidance your AI assistant follows is pinned to the SDK version installed in your project and stays current across upgrades instead of going stale until the next reinstall. ([#3937](https://github.com/triggerdotdev/trigger.dev/pull/3937)) - Running a CLI command like `dev`, `deploy`, `preview`, or `update` before initializing a project no longer crashes with a raw `Cannot find matching package.json` stack trace. The CLI now detects the missing project and points you to `npx trigger.dev@latest init` instead. ([#3929](https://github.com/triggerdotdev/trigger.dev/pull/3929)) - The agent skills installed by `trigger skills` are now namespaced with a `trigger-` prefix (e.g. `trigger-authoring-tasks`, `trigger-getting-started`) so they don't collide with unrelated skills in your coding agent's skills directory. Adds a `trigger-cost-savings` skill for auditing and reducing compute spend (right-sizing machines, `maxDuration`, batching, debounce), and `@trigger.dev/sdk` now bundles the full Trigger.dev documentation so your agent can read the complete, version-pinned reference directly from node_modules. ([#3970](https://github.com/triggerdotdev/trigger.dev/pull/3970)) - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.7` - `@trigger.dev/build@4.5.0-rc.7` - `@trigger.dev/schema-to-json@4.5.0-rc.7` ## @trigger.dev/core@4.5.0-rc.7 ### Patch Changes - The run span API response now includes `cachedCost` and `cacheCreationCost` on the `ai` object, alongside the existing `inputCost` / `outputCost` / `totalCost`. `inputCost` reflects only the non-cached input, so these fields let you reconstruct the full cost breakdown for prompt-cached calls. ([#3958](https://github.com/triggerdotdev/trigger.dev/pull/3958)) ## @trigger.dev/python@4.5.0-rc.7 ### Patch Changes - Updated dependencies: - `@trigger.dev/sdk@4.5.0-rc.7` - `@trigger.dev/core@4.5.0-rc.7` - `@trigger.dev/build@4.5.0-rc.7` ## @trigger.dev/react-hooks@4.5.0-rc.7 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.7` ## @trigger.dev/redis-worker@4.5.0-rc.7 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.7` ## @trigger.dev/rsc@4.5.0-rc.7 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.7` ## @trigger.dev/schema-to-json@4.5.0-rc.7 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.7` ## @trigger.dev/sdk@4.5.0-rc.7 ### Patch Changes - `@trigger.dev/sdk` now bundles the Trigger.dev agent skills and a curated snapshot of the docs those skills reference. The skills that `trigger skills` installs into your coding agent read this content from node_modules, so the guidance your AI assistant follows is pinned to the SDK version installed in your project and stays current across upgrades instead of going stale until the next reinstall. ([#3937](https://github.com/triggerdotdev/trigger.dev/pull/3937)) - `chat.headStart` now works with the `chat.customAgent` and `chat.createSession` backends, not only `chat.agent`. The warm step-1 response hands over to your loop the same way it does for a managed agent. ([#3963](https://github.com/triggerdotdev/trigger.dev/pull/3963)) In a `chat.customAgent` loop, consume the handover on turn 0: ```ts const conversation = new chat.MessageAccumulator(); const { isFinal, skipped } = await conversation.consumeHandover({ payload }); if (skipped) return; // warm handler aborted, so exit without a turn if (isFinal) { await chat.writeTurnComplete(); // step 1 is the response, no streamText } else { const result = streamText({ model, messages: conversation.modelMessages, tools }); // Pass originalMessages so the handed-over tool round merges into the // step-1 assistant instead of starting a new message. const response = await chat.pipeAndCapture(result, { originalMessages: conversation.uiMessages, }); if (response) await conversation.addResponse(response); } ``` With `chat.createSession`, the iterator surfaces it as `turn.handover`; call `turn.complete()` with no argument on a final handover. The lower-level `chat.waitForHandover()` and `accumulator.applyHandover()` are also exported for hand-rolled loops. - Add `triggerConfig` support to `chat.headStart()` and `chat.openSession()`, so the auto-triggered handover-prepare run inherits tags, queue, machine, and other session trigger options the same way `chat.createStartSessionAction()` does. The `chat:{chatId}` tag is prepended automatically. ([#3963](https://github.com/triggerdotdev/trigger.dev/pull/3963)) ```ts export const POST = chat.headStart({ agentId: "my-agent", triggerConfig: { tags: ["org:acme"], queue: "chat" }, run: async ({ chat }) => streamText({ ...chat.toStreamTextOptions(), model }), }); ``` Because the session is created once on the first head-start turn and is idempotent on the chat id, this is the only place to set those options for a head-start chat's lifetime. `chat.createStartSessionAction()` now also forwards `maxDuration`, `region`, and `lockToVersion` so both session entry points stay consistent. - Cache your chat agent's system prompt with Anthropic prompt caching. `chat.toStreamTextOptions()` now emits the system prompt as a cacheable message when you opt in, so a large, stable system block is billed at cache-read rates on every turn instead of full price. ([#3952](https://github.com/triggerdotdev/trigger.dev/pull/3952)) ```ts // at the streamText call site (Anthropic sugar) streamText({ ...chat.toStreamTextOptions({ cacheControl: { type: "ephemeral" } }), messages, }); // provider-agnostic equivalent chat.toStreamTextOptions({ systemProviderOptions: { anthropic: { cacheControl: { type: "ephemeral" } } }, }); // or where the prompt is defined chat.prompt.set(SYSTEM_PROMPT, { providerOptions: { anthropic: { cacheControl: { type: "ephemeral" } } }, }); ``` Without an option, `system` stays a plain string. Pairs with a `prepareMessages` cache breakpoint to cache the conversation prefix across turns too. - Three fixes for custom agent loops (`chat.customAgent`, `chat.createSession`, and hand-rolled `MessageAccumulator` loops): ([#3936](https://github.com/triggerdotdev/trigger.dev/pull/3936)) - Continuation runs no longer replay already-answered user messages into the first turn. The `.in` resume cursor is now seeded before any listener attaches (the same boot logic `chat.agent` uses), so a chat that continues after a cancel, crash, or upgrade only sees genuinely new messages. - Steering a hand-rolled loop mid-stream no longer wipes the in-flight assistant response. `chat.pipeAndCapture` now stamps a server-generated message id on the stream, so a `prepareStep` injection keeps the partial text instead of replacing the message. - Task-backed tools (`ai.toolExecute`) now work from custom agent loops: the parent's session is threaded to the child run, so child tasks can stream progress into the chat with `chat.stream.writer({ target: "root" })` instead of failing with "session handle is not initialized". - The agent skills installed by `trigger skills` are now namespaced with a `trigger-` prefix (e.g. `trigger-authoring-tasks`, `trigger-getting-started`) so they don't collide with unrelated skills in your coding agent's skills directory. Adds a `trigger-cost-savings` skill for auditing and reducing compute spend (right-sizing machines, `maxDuration`, batching, debounce), and `@trigger.dev/sdk` now bundles the full Trigger.dev documentation so your agent can read the complete, version-pinned reference directly from node_modules. ([#3970](https://github.com/triggerdotdev/trigger.dev/pull/3970)) - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.7` ## @trigger.dev/plugins@4.5.0-rc.7 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.7` </details> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> |
||
|
Eric Allam
|
0c839e8566 |
feat(sdk,cli): namespace agent skills with trigger- and add cost-savings (#3970)
## Summary Three improvements to the SDK-bundled agent skills (follow-up to the skills installer): - **`trigger-` namespace.** The installed skills (`authoring-tasks`, `getting-started`, …) had generic names that collide with unrelated skills in a shared agent skills directory. They're now prefixed — `trigger-authoring-tasks`, `trigger-getting-started`, etc. — matching the convention the public skills repo already uses. - **New `trigger-cost-savings` skill.** An MCP-driven cost audit: right-sizes machines, flags missing `maxDuration`, spots sequential triggers that could batch, and reviews schedule frequency, using `list_runs` / `get_run_details` for live analysis. - **Bundle the full docs.** `@trigger.dev/sdk` now bundles the entire "Documentation" section of the docs (157 pages) instead of a curated 55-page subset, so an agent has the complete, version-pinned reference in `node_modules`. ## How the bundling works `scripts/bundleSdkDocs.ts` now reads `docs/docs.json`, walks the "Documentation" dropdown, and copies every page under it into the SDK. The set tracks the docs navigation automatically — add a page to the nav and it ships, no skill edits needed. The API reference and Guides & examples dropdowns are intentionally excluded. A skill's `sources:` frontmatter is now informational only. The dropped idea of a dedicated `trigger-config` skill is replaced by references to the bundled build-extension docs (`config/extensions/*`) from the `trigger-authoring-tasks` config section and the chat-agent skills. |
||
|
Eric Allam
|
17482c0577 |
feat(sdk): chat.headStart handover for customAgent and createSession (#3963)
## Summary
`chat.headStart` (the warm step-1 fast path) previously handed its
response over only to `chat.agent`. This extends handover to the other
two backends: `chat.customAgent` consumes it with
`conversation.consumeHandover({ payload })` on turn 0, and
`chat.createSession` surfaces it as `turn.handover` (call
`turn.complete()` with no source to finalize a pure-text handover). The
low-level `chat.waitForHandover()` and `accumulator.applyHandover()` are
exported for hand-rolled loops.
It also adds `triggerConfig` to `chat.headStart()` and
`chat.openSession()`, so the auto-triggered handover-prepare run
inherits tags, queue, machine, and the other session run options the
same way `chat.createStartSessionAction()` does. The `chat:{chatId}` tag
is prepended automatically. Because the session is created once on the
first head-start turn (idempotent on the chat id), this is the only
place those options can be set for a head-start chat's lifetime.
## Fix: tool-call resume
When the warm step-1 hands over a pending tool call (rather than pure
text), the agent loop resumes that tool round. For it to merge cleanly
the pipe threads the spliced partial as `originalMessages`, so the
resumed tool-output chunk attaches to the handed-over tool-call instead
of throwing `No tool invocation found`. `MessageAccumulator.addResponse`
now also dedups by id (replace-in-place), so the persisted history
doesn't carry a duplicate assistant message when the resumed response
reuses the partial's id.
Incorporates the `triggerConfig` work from
[#3933](https://github.com/triggerdotdev/trigger.dev/pull/3933) by
@saasjesus, with `createStartSessionAction` extended to also forward
`maxDuration`, `region`, and `lockToVersion` so the two session entry
points stay consistent.
Verified end-to-end against a local environment: handover (pure-text and
tool-call) on both new backends, a `chat.agent` regression pass, and
`triggerConfig` tags and queue landing on the run.
---------
Co-authored-by: saasjesus <armin@chatarmin.com>
|
||
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Eric Allam
|
ab3a1e593a | docs: use one canonical definition of a Session everywhere (#3956) | ||
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Eric Allam
|
3b919994c1 |
feat(sdk): make the chat.agent system prompt cacheable (#3952)
## Summary
`chat.agent`'s system prompt (the `chat.prompt` text plus any skills
preamble) could not carry a provider cache breakpoint, so the largest
and most stable part of the prompt re-paid full input price on every
turn. `chat.toStreamTextOptions()` now emits the system prompt as a
structured message carrying `providerOptions` when you opt in, so a
provider can cache the system block. Without an option, `system` stays a
plain string, so existing behavior is unchanged.
## API
Three ways to opt in (most specific wins, no deep merge):
```ts
// Anthropic sugar
chat.toStreamTextOptions({ cacheControl: { type: "ephemeral" } });
// provider-agnostic (also covers Amazon Bedrock's cachePoint)
chat.toStreamTextOptions({ systemProviderOptions: { anthropic: { cacheControl: { type: "ephemeral" } } } });
// at the definition site
chat.prompt.set(SYSTEM_PROMPT, { providerOptions: { anthropic: { cacheControl: { type: "ephemeral" } } } });
```
The `cacheControl` shorthand is Anthropic-only; `systemProviderOptions`
is the general form. Pairs with a `prepareMessages` cache breakpoint to
cache the conversation prefix too.
Docs guide: https://github.com/triggerdotdev/trigger.dev/pull/3951
|
||
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Eric Allam
|
e092919c3f |
feat(sdk,cli): bundle agent skills + docs in the SDK for zero-drift (#3937)
## Summary `@trigger.dev/sdk` now ships the Trigger.dev agent skills and a curated snapshot of the docs those skills cite. The skills that `trigger skills` installs into your coding agent are thin pointers that read this bundled content from `node_modules`, so the guidance always matches the SDK version installed in your project. Previously the full skill text was copied into your repo at install time and went stale until you reinstalled after an upgrade. ## How it works The SDK's `files[]` now includes `skills/` (the full skill text) and `docs/` (a curated snapshot generated at build time). The docs manifest is derived from each skill's own `sources:` frontmatter, so a skill only ships the docs it references, and a skill that cites a missing doc fails the build. The CLI installs thin skills whose body points the agent at `node_modules/@trigger.dev/sdk/skills/<name>/SKILL.md` and `node_modules/@trigger.dev/sdk/docs/`. They keep the high-value "Common mistakes" anti-patterns inline so the trigger and the guardrails survive even if the agent does not follow the pointer. `getting-started` stays self-contained in the CLI because it runs before the SDK is installed. |
||
|
Eric Allam
|
1f1a3666ee |
fix(sdk): custom agent loop parity for continuations, steering, and subtasks (#3936)
## Summary
Three fixes that bring custom agent loops (`chat.customAgent`
hand-rolled loops and `chat.createSession`) up to the behavior
`chat.agent` users already get, and that the docs already promise:
- **Continuation runs no longer replay already-answered messages.** A
chat continuing after a cancel, crash, or upgrade re-delivered every
prior user message into the loop's first wait, so the model re-answered
an old message while the real new one had to arrive via steering. The
`.in` resume cursor is now seeded before any listener attaches, using
the same boot logic as `chat.agent`.
- **Mid-stream steering no longer wipes the in-flight response.**
`chat.pipeAndCapture` (also backing `turn.complete()`) streamed without
a server-generated message id, so a `prepareStep` injection regenerated
the assistant id mid-stream and the frontend replaced the partial
message, discarding everything streamed before the injection.
- **Task-backed tools now work from custom agent loops.** A child task
triggered via `ai.toolExecute` failed with "chat.agent session handle is
not initialized" because the parent's chatId only threaded from the
per-turn context that hand-rolled loops never set. It now falls back to
the session handle the `chat.customAgent` wrapper binds at run boot, so
children can stream progress into the chat with `chat.stream.writer({
target: "root" })` (the documented sub-agent pattern).
## Root cause on the replay fix
Attaching any `.in` listener (`chat.createStopSignal`,
`chat.messages.on`, the first wait) opens the SSE tail with
`Last-Event-ID` taken from the seq cursor at attach time. Custom loops
attached before any cursor existed, so S2 replayed from seq 0. The fix
resolves the cursor from the latest turn-complete header and seeds both
manager cursors (`setLastSeqNum` drives the SSE resume point,
`setLastDispatchedSeqNum` gates waiter dispatch) before attach;
`chat.createSession` now creates its stop signal lazily on the first
iteration, after the seed. Seeding only the first cursor after attach
does not work, which is why the earlier attempt at this was reverted.
All three were reproduced red-green against the references ai-chat
project: the replay repro showed the continuation wait consuming a stale
message in 403ms with the real message arriving via steering injection;
post-fix the wait consumes the real message directly with no injection.
Steering now preserves the full in-flight response, and the deepResearch
sub-agent streams its progress parts into a raw-loop parent. Existing
behavior verified unchanged: full SDK unit suite, `chat.agent` steering,
and stop-then-continue on `chat.createSession`.
|
||
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github-actions[bot]
|
5fab8cafcf |
chore: release v4.5.0-rc.6 (#3870)
🚀 Publish Trigger.dev Docker / units (push) Failing after 4s
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## Summary 7 improvements, 1 bug fix. ## Improvements - `trigger init` now sets up your AI coding assistant as part of project setup: pick the MCP server, the agent skills, or both, then scaffold with the CLI or hand off to your assistant. Adds a new `getting-started` agent skill that teaches assistants how to bootstrap Trigger.dev (install the SDK, write `trigger.config.ts`, create a first task, run `trigger dev`), so the AI-driven setup path works end to end. It ships in the CLI alongside the existing skills, version-matched to your SDK. ([#3872](https://github.com/triggerdotdev/trigger.dev/pull/3872)) - `dev` and `deploy` now fail with a clear error when two tasks are defined with the same id, including across different task types (e.g. a scheduled task and a regular task sharing an id). Previously the second definition silently overwrote the first, so one of the tasks would vanish with no warning. Task ids are detected as duplicates during indexing (naming each offending id and the files it was found in), and the same rule is enforced server-side when the background worker is registered. ([#3865](https://github.com/triggerdotdev/trigger.dev/pull/3865)) - `trigger skills` installs Trigger.dev agent skills into your coding agent so it knows how to write tasks, schedules, realtime, and chat.agent code. The skills ship with the CLI and are copied into each tool's native skills directory (Claude Code, Cursor, GitHub Copilot, and Codex / AGENTS.md), and `trigger dev` offers to install them on first run. ([#3868](https://github.com/triggerdotdev/trigger.dev/pull/3868)) - Reliability fixes for `chat.agent`. A user message sent while the agent is streaming is no longer delivered twice (which could run a duplicate turn), input appends now carry an idempotency key so a retried send can't duplicate a message, stopping a generation clears the streaming state so a page reload doesn't replay the stopped turn, and runs can now carry the full set of dashboard tags instead of being silently truncated. `onTurnComplete` now fires on errored turns (with the thrown error attached) and the failed turn's user message is persisted so it isn't lost on the next run. Custom agents and manual `chat.writeTurnComplete` callers now trim the output stream, sending a custom action no longer leaves a second stream reader running, and a long-lived `watch` subscription no longer grows its dedupe set without bound. ([#3891](https://github.com/triggerdotdev/trigger.dev/pull/3891)) - Continuation chat boots no longer stall for around 10 seconds before the first turn. The `session.in` resume cursor is now found with a non-blocking records read instead of draining an SSE long-poll (which always waited out its full 5 second inactivity window, twice per boot), the boot reads run concurrently, and chat snapshots carry the cursor so subsequent boots skip the scan entirely. ([#3907](https://github.com/triggerdotdev/trigger.dev/pull/3907)) - Record client-side dequeue API latency in the supervisor consumer pool as a Prometheus histogram (`queue_consumer_pool_dequeue_duration_seconds`, labelled by `outcome`: success/empty/error). ([#3887](https://github.com/triggerdotdev/trigger.dev/pull/3887)) - Add `GetProjectEnvironmentsResponseBody` and `ProjectEnvironment` schemas for the new `GET /api/v1/projects/{projectRef}/environments` endpoint, which lists the parent environments (dev, staging, preview, prod) a personal access token can access for a project. Dev is scoped to the token owner and branch (preview child) environments are excluded. ([#3880](https://github.com/triggerdotdev/trigger.dev/pull/3880)) ## Bug fixes - Fix two `chat.createSession()` bugs: stopping a generation no longer wedges the run (the turn loop raced a `totalUsage` promise that never settles after a stop-abort), and continuation runs now wait for the next message instead of invoking the model with an empty prompt. ([#3920](https://github.com/triggerdotdev/trigger.dev/pull/3920)) <details> <summary>Raw changeset output</summary> ⚠️⚠️⚠️⚠️⚠️⚠️ `main` is currently in **pre mode** so this branch has prereleases rather than normal releases. If you want to exit prereleases, run `changeset pre exit` on `main`. ⚠️⚠️⚠️⚠️⚠️⚠️ # Releases ## @trigger.dev/build@4.5.0-rc.6 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.6` ## trigger.dev@4.5.0-rc.6 ### Patch Changes - `trigger init` now sets up your AI coding assistant as part of project setup: pick the MCP server, the agent skills, or both, then scaffold with the CLI or hand off to your assistant. Adds a new `getting-started` agent skill that teaches assistants how to bootstrap Trigger.dev (install the SDK, write `trigger.config.ts`, create a first task, run `trigger dev`), so the AI-driven setup path works end to end. It ships in the CLI alongside the existing skills, version-matched to your SDK. ([#3872](https://github.com/triggerdotdev/trigger.dev/pull/3872)) - `dev` and `deploy` now fail with a clear error when two tasks are defined with the same id, including across different task types (e.g. a scheduled task and a regular task sharing an id). Previously the second definition silently overwrote the first, so one of the tasks would vanish with no warning. Task ids are detected as duplicates during indexing (naming each offending id and the files it was found in), and the same rule is enforced server-side when the background worker is registered. ([#3865](https://github.com/triggerdotdev/trigger.dev/pull/3865)) - `trigger skills` installs Trigger.dev agent skills into your coding agent so it knows how to write tasks, schedules, realtime, and chat.agent code. The skills ship with the CLI and are copied into each tool's native skills directory (Claude Code, Cursor, GitHub Copilot, and Codex / AGENTS.md), and `trigger dev` offers to install them on first run. ([#3868](https://github.com/triggerdotdev/trigger.dev/pull/3868)) ```bash trigger skills --target claude-code ``` Replaces the previous `install-rules` command, which stays as an alias. - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.6` - `@trigger.dev/build@4.5.0-rc.6` - `@trigger.dev/schema-to-json@4.5.0-rc.6` ## @trigger.dev/core@4.5.0-rc.6 ### Patch Changes - Reliability fixes for `chat.agent`. A user message sent while the agent is streaming is no longer delivered twice (which could run a duplicate turn), input appends now carry an idempotency key so a retried send can't duplicate a message, stopping a generation clears the streaming state so a page reload doesn't replay the stopped turn, and runs can now carry the full set of dashboard tags instead of being silently truncated. `onTurnComplete` now fires on errored turns (with the thrown error attached) and the failed turn's user message is persisted so it isn't lost on the next run. Custom agents and manual `chat.writeTurnComplete` callers now trim the output stream, sending a custom action no longer leaves a second stream reader running, and a long-lived `watch` subscription no longer grows its dedupe set without bound. ([#3891](https://github.com/triggerdotdev/trigger.dev/pull/3891)) - Continuation chat boots no longer stall for around 10 seconds before the first turn. The `session.in` resume cursor is now found with a non-blocking records read instead of draining an SSE long-poll (which always waited out its full 5 second inactivity window, twice per boot), the boot reads run concurrently, and chat snapshots carry the cursor so subsequent boots skip the scan entirely. ([#3907](https://github.com/triggerdotdev/trigger.dev/pull/3907)) - Record client-side dequeue API latency in the supervisor consumer pool as a Prometheus histogram (`queue_consumer_pool_dequeue_duration_seconds`, labelled by `outcome`: success/empty/error). ([#3887](https://github.com/triggerdotdev/trigger.dev/pull/3887)) - `dev` and `deploy` now fail with a clear error when two tasks are defined with the same id, including across different task types (e.g. a scheduled task and a regular task sharing an id). Previously the second definition silently overwrote the first, so one of the tasks would vanish with no warning. Task ids are detected as duplicates during indexing (naming each offending id and the files it was found in), and the same rule is enforced server-side when the background worker is registered. ([#3865](https://github.com/triggerdotdev/trigger.dev/pull/3865)) - Add `GetProjectEnvironmentsResponseBody` and `ProjectEnvironment` schemas for the new `GET /api/v1/projects/{projectRef}/environments` endpoint, which lists the parent environments (dev, staging, preview, prod) a personal access token can access for a project. Dev is scoped to the token owner and branch (preview child) environments are excluded. ([#3880](https://github.com/triggerdotdev/trigger.dev/pull/3880)) ## @trigger.dev/python@4.5.0-rc.6 ### Patch Changes - Updated dependencies: - `@trigger.dev/sdk@4.5.0-rc.6` - `@trigger.dev/core@4.5.0-rc.6` - `@trigger.dev/build@4.5.0-rc.6` ## @trigger.dev/react-hooks@4.5.0-rc.6 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.6` ## @trigger.dev/redis-worker@4.5.0-rc.6 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.6` ## @trigger.dev/rsc@4.5.0-rc.6 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.6` ## @trigger.dev/schema-to-json@4.5.0-rc.6 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.6` ## @trigger.dev/sdk@4.5.0-rc.6 ### Patch Changes - Reliability fixes for `chat.agent`. A user message sent while the agent is streaming is no longer delivered twice (which could run a duplicate turn), input appends now carry an idempotency key so a retried send can't duplicate a message, stopping a generation clears the streaming state so a page reload doesn't replay the stopped turn, and runs can now carry the full set of dashboard tags instead of being silently truncated. `onTurnComplete` now fires on errored turns (with the thrown error attached) and the failed turn's user message is persisted so it isn't lost on the next run. Custom agents and manual `chat.writeTurnComplete` callers now trim the output stream, sending a custom action no longer leaves a second stream reader running, and a long-lived `watch` subscription no longer grows its dedupe set without bound. ([#3891](https://github.com/triggerdotdev/trigger.dev/pull/3891)) - Continuation chat boots no longer stall for around 10 seconds before the first turn. The `session.in` resume cursor is now found with a non-blocking records read instead of draining an SSE long-poll (which always waited out its full 5 second inactivity window, twice per boot), the boot reads run concurrently, and chat snapshots carry the cursor so subsequent boots skip the scan entirely. ([#3907](https://github.com/triggerdotdev/trigger.dev/pull/3907)) - Fix `chat.headStart` when `hydrateMessages` is registered. The warm route's step-1 partial now reaches the agent's accumulator on the hydrate path, so `onTurnComplete` carries the full first turn (the head-start user message included), tool-call handovers resume from step 2 instead of re-running step 1, and the assistant `messageId` stays stable across the handover. ([#3907](https://github.com/triggerdotdev/trigger.dev/pull/3907)) - Preserve reasoning parts across the `chat.headStart` handover. Extended-thinking models' step-1 reasoning now lands in the durable session history (and `onTurnComplete`) under the same assistant `messageId`, with provider metadata intact so Anthropic thinking signatures survive replays. ([#3907](https://github.com/triggerdotdev/trigger.dev/pull/3907)) - Fix two `chat.createSession()` bugs: stopping a generation no longer wedges the run (the turn loop raced a `totalUsage` promise that never settles after a stop-abort), and continuation runs now wait for the next message instead of invoking the model with an empty prompt. ([#3920](https://github.com/triggerdotdev/trigger.dev/pull/3920)) - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.6` ## @trigger.dev/plugins@4.5.0-rc.6 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.6` </details> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> |
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Eric Allam
|
47834198fc |
fix(sdk): stop chat.createSession wedging on stop and erroring on continuation boots (#3920)
## Summary
Two `chat.createSession()` bugs that break chats at its abstraction
level:
1. **Stopping a generation wedged the run forever.** `turn.complete()`
bare-awaited the AI SDK's `totalUsage` promise, which never settles
after a stop-abort. The run stayed stuck inside the stopped turn (trace
shows a permanently partial `ai.streamText` span and no further `waiting
for next message`), so the chat could never take another message. Fixed
with the same 2s `Promise.race` guard `chat.agent`'s turn loop already
uses.
2. **Continuation runs invoked the model with an empty prompt.** The
first turn only waited for a message on `preload` boots. A continuation
run (spawned after a cancel, crash, or version upgrade) arrives with the
boot payload stripped, so the loop ran a turn with zero messages and
errored with `AI_InvalidPromptError: messages must not be empty`.
Message-less continuation boots now wait for the next session input
("waiting for first message (continuation)"), and `turn.continuation` is
preserved across the wait so user code can seed stored history off it.
Both reproduced and verified end-to-end against a live environment (stop
followed by a next turn; cancel followed by a continuation turn with
seeded history), plus the existing unit suite.
|
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Eric Allam
|
2b6d2492fe |
fix(sdk,core): head-start handover correctness and continuation boot latency (#3907)
## Summary Three related fixes for `chat.headStart` and continuation boots, found while investigating customer reports. **1. `chat.headStart` now works with `hydrateMessages`.** The turn-0 handover splice only ran on the default accumulation path, so agents registering `hydrateMessages` silently lost the warm route's step-1 response: pure-text turns fired `onTurnComplete` with no assistant message (and an empty durable write), tool-call turns re-ran step 1 from scratch under a fresh `messageId`, and the head-start user message never reached the hydrate hook at all. The first-turn history now reaches `hydrateMessages` as `incomingMessages`, and the splice runs after both accumulation branches, deduplicated by the handover `messageId`. **2. Reasoning parts survive the handover.** The synthesized partial only mapped text and tool-call parts, so an extended-thinking model's step-1 reasoning streamed to the browser but never reached durable history. Reasoning parts now map through with provider metadata, so Anthropic thinking signatures survive a UIMessage round trip on hydrate replays. **3. Continuation boots no longer stall for ~10 seconds.** The `.in` resume cursor was found by draining an SSE subscription that only closes after its 5 second inactivity window, and the scan ran twice per boot. It is now a non-blocking records read of the latest turn-complete header, runs at most once per boot, the boot reads run concurrently, and chat snapshots carry the cursor so subsequent boots skip the scan entirely. Measured locally on a cancel-then-continue repro: pre-turn continuation latency dropped from ~11s to ~0.5s. Every fix was verified red-green: new unit tests reproduced each failure before the fix, and end-to-end smoke tests against a live local stack covered both handover legs, reasoning persistence with extended thinking (including a follow-up turn that round-trips the persisted signed reasoning back to the provider), and the boot timing comparison. ## Rollout SDK-only; no server change required. A new SDK against a server that does not serialize record headers degrades to the existing no-cursor fallback. Old SDKs ignore the new snapshot field, and new SDKs fall back to the records scan on snapshots written before it existed. |
||
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Eric Allam
|
f5f29ceb26 |
fix(sdk,core): chat.agent delivery, idempotency, and recovery fixes (#3891)
## Summary A batch of reliability fixes for `chat.agent`: - A user message sent while the agent is streaming is no longer delivered twice (which could run a duplicate turn). - Input appends carry an idempotency key (`X-Part-Id`) so a retried send can't duplicate a message. - `onTurnComplete` now fires on errored turns with the thrown error attached, and the failed turn's user message is persisted so it isn't lost on the next run. - Stopping a generation clears the streaming state, so a page reload doesn't replay the stopped turn. - Custom agents and manual `chat.writeTurnComplete` callers trim the output stream, sending a custom action no longer leaves a second stream reader running, a long-lived `watch` subscription no longer grows its dedupe set without bound, promoting a queued message to steering no longer risks a double-send, and runs keep the full set of dashboard tags. The `X-Part-Id` header is accepted by current servers (they just don't dedupe on it yet), so this is safe to ship ahead of the matching server change. |
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Eric Allam
|
fa4804e6a7 | chore(core,sdk): move the AI SDK v7 forward-compat typecheck out of CI (#3854) | ||
|
Eric Allam
|
96f4c1bf2c |
chore(core,sdk): make the ai-v7 typecheck pass deterministic (#3847)
## Summary
The SDK and core packages run a second, forward-compat typecheck pass
(`tsc --noEmit -p tsconfig.ai-v7.json`) that remaps the `"ai"` import to
the ESM-only AI SDK 7 canary, so we catch source that only compiles
against one major. That pass inherited `composite: true` from the base
tsconfig, which makes `tsc` write a `.tsbuildinfo` even under
`--noEmit`.
Incremental buildinfo caches each file's resolved module format (CJS vs
ESM) and module resolution. When that state goes stale or is replayed,
the v7 pass can report spurious `TS1479` ("CommonJS module ... cannot
`require` an ECMAScript module") errors on the `"ai"` import even though
the source is fine in a clean checkout. Because this pass shares the
typecheck job that gates the Docker image publish, a spurious failure
there blocks publishing.
## Fix
Set `composite: false` and `incremental: false` on both
`tsconfig.ai-v7.json` files. The pass is `--noEmit` only, so it never
needed incremental state. Now each run is a clean, full check that
writes no buildinfo and can't replay stale resolution.
Verified: both `@trigger.dev/sdk` and `@trigger.dev/core` typecheck
green, and neither writes an ai-v7 `.tsbuildinfo` anymore.
|
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github-actions[bot]
|
a730faadfe |
chore: release v4.5.0-rc.5 (#3808)
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## Summary 1 new feature, 8 improvements, 1 bug fix. ## Highlights - Add optional `shouldPauseScaling` to the supervisor consumer pool scaling options to freeze scale-up while it returns true (scale-down stays allowed). ([#3836](https://github.com/triggerdotdev/trigger.dev/pull/3836)) ## Improvements - The MCP server no longer tells the AI agent to wait for a run to complete after every `trigger_task` call. Waiting is now opt-in: the agent only waits when you ask it to (for example "trigger and then wait for it to finish"). This avoids burning tokens polling runs you didn't need to block on and keeps responses clearer. ([#3838](https://github.com/triggerdotdev/trigger.dev/pull/3838)) - Update the bundled OpenTelemetry packages to their latest releases (`@opentelemetry/sdk-node` 0.218.0, `@opentelemetry/core` 2.7.1, `@opentelemetry/host-metrics` 0.38.3). ([#3810](https://github.com/triggerdotdev/trigger.dev/pull/3810)) - `envvars.upload` now accepts an optional `isSecret` flag, letting you create the imported variables as secret (redacted) environment variables. When omitted, variables default to non-secret. ([#3809](https://github.com/triggerdotdev/trigger.dev/pull/3809)) - Offload large trigger payloads to object storage before sending the trigger API request. The SDK uploads packets at or above the existing 128KB limit and sends an `application/store` pointer instead of embedding large JSON in the request body. `TriggerTaskRequestBody` now validates that `application/store` payloads are non-empty storage paths. ([#3785](https://github.com/triggerdotdev/trigger.dev/pull/3785)) - Make mollifier buffer and drainer internals configurable. `MollifierBuffer` now accepts `ackGraceTtlSeconds`, `maxRetriesPerRequest`, `reconnectStepMs`, and `reconnectMaxMs` options, and `MollifierDrainer` accepts `maxBackoffMs` and `backoffFloorMs`. All default to their previous hardcoded values, so existing behaviour is unchanged. ([#3822](https://github.com/triggerdotdev/trigger.dev/pull/3822)) - `MollifierDrainer` accepts a `drainBatchSize` option (default 1) that controls how many entries are popped per env per tick — in-flight handlers remain capped by the global `concurrency`. `MollifierBuffer` also gains `getDrainingCount()` / `listStaleDraining()`, backed by a new `mollifier:draining` ZSET maintained atomically with pop/ack/fail/requeue (observability-only). ([#3797](https://github.com/triggerdotdev/trigger.dev/pull/3797)) - Adds AI SDK 7 support. The `ai` peer range now includes v7, and the `chat.agent` / chat surfaces work against v7's ESM-only build. On v7, install `@ai-sdk/otel` alongside `ai` and the SDK registers it for you so `experimental_telemetry` spans keep flowing into your run traces (v7 stopped emitting them from `ai` core). v5 and v6 keep working unchanged. ([#3833](https://github.com/triggerdotdev/trigger.dev/pull/3833)) - `useTriggerChatTransport` now recovers when restored session state points at a session that no longer exists in the current environment ([#3816](https://github.com/triggerdotdev/trigger.dev/pull/3816)) ## Bug fixes - Fix `@trigger.dev/core` build: cast the underlying log record exporter when calling `forceFlush` so it typechecks against the updated OpenTelemetry `LogRecordExporter` type (which no longer declares `forceFlush`). ([#3829](https://github.com/triggerdotdev/trigger.dev/pull/3829)) <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.5 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.5` ## trigger.dev@4.5.0-rc.5 ### Patch Changes - The MCP server no longer tells the AI agent to wait for a run to complete after every `trigger_task` call. Waiting is now opt-in: the agent only waits when you ask it to (for example "trigger and then wait for it to finish"). This avoids burning tokens polling runs you didn't need to block on and keeps responses clearer. ([#3838](https://github.com/triggerdotdev/trigger.dev/pull/3838)) - Update the bundled OpenTelemetry packages to their latest releases (`@opentelemetry/sdk-node` 0.218.0, `@opentelemetry/core` 2.7.1, `@opentelemetry/host-metrics` 0.38.3). ([#3810](https://github.com/triggerdotdev/trigger.dev/pull/3810)) - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.5` - `@trigger.dev/build@4.5.0-rc.5` - `@trigger.dev/schema-to-json@4.5.0-rc.5` ## @trigger.dev/core@4.5.0-rc.5 ### Patch Changes - Add optional `shouldPauseScaling` to the supervisor consumer pool scaling options to freeze scale-up while it returns true (scale-down stays allowed). ([#3836](https://github.com/triggerdotdev/trigger.dev/pull/3836)) - Fix `@trigger.dev/core` build: cast the underlying log record exporter when calling `forceFlush` so it typechecks against the updated OpenTelemetry `LogRecordExporter` type (which no longer declares `forceFlush`). ([#3829](https://github.com/triggerdotdev/trigger.dev/pull/3829)) - `envvars.upload` now accepts an optional `isSecret` flag, letting you create the imported variables as secret (redacted) environment variables. When omitted, variables default to non-secret. ([#3809](https://github.com/triggerdotdev/trigger.dev/pull/3809)) ```ts await envvars.upload("proj_1234", "prod", { variables: { STRIPE_SECRET_KEY: "sk_live_..." }, isSecret: true, }); ``` - Offload large trigger payloads to object storage before sending the trigger API request. The SDK uploads packets at or above the existing 128KB limit and sends an `application/store` pointer instead of embedding large JSON in the request body. `TriggerTaskRequestBody` now validates that `application/store` payloads are non-empty storage paths. ([#3785](https://github.com/triggerdotdev/trigger.dev/pull/3785)) Payload uploads use the same resolved `ApiClient` as the trigger call (including `requestOptions.clientConfig`), not only the global `apiClientManager.client` — so custom `baseURL`, access token, and preview branch apply to both presign and trigger. - Update the bundled OpenTelemetry packages to their latest releases (`@opentelemetry/sdk-node` 0.218.0, `@opentelemetry/core` 2.7.1, `@opentelemetry/host-metrics` 0.38.3). ([#3810](https://github.com/triggerdotdev/trigger.dev/pull/3810)) ## @trigger.dev/plugins@4.5.0-rc.5 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.5` ## @trigger.dev/python@4.5.0-rc.5 ### Patch Changes - Updated dependencies: - `@trigger.dev/sdk@4.5.0-rc.5` - `@trigger.dev/core@4.5.0-rc.5` - `@trigger.dev/build@4.5.0-rc.5` ## @trigger.dev/react-hooks@4.5.0-rc.5 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.5` ## @trigger.dev/redis-worker@4.5.0-rc.5 ### Patch Changes - Make mollifier buffer and drainer internals configurable. `MollifierBuffer` now accepts `ackGraceTtlSeconds`, `maxRetriesPerRequest`, `reconnectStepMs`, and `reconnectMaxMs` options, and `MollifierDrainer` accepts `maxBackoffMs` and `backoffFloorMs`. All default to their previous hardcoded values, so existing behaviour is unchanged. ([#3822](https://github.com/triggerdotdev/trigger.dev/pull/3822)) - `MollifierDrainer` accepts a `drainBatchSize` option (default 1) that controls how many entries are popped per env per tick — in-flight handlers remain capped by the global `concurrency`. `MollifierBuffer` also gains `getDrainingCount()` / `listStaleDraining()`, backed by a new `mollifier:draining` ZSET maintained atomically with pop/ack/fail/requeue (observability-only). ([#3797](https://github.com/triggerdotdev/trigger.dev/pull/3797)) - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.5` ## @trigger.dev/rsc@4.5.0-rc.5 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.5` ## @trigger.dev/schema-to-json@4.5.0-rc.5 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.5` ## @trigger.dev/sdk@4.5.0-rc.5 ### Patch Changes - Adds AI SDK 7 support. The `ai` peer range now includes v7, and the `chat.agent` / chat surfaces work against v7's ESM-only build. On v7, install `@ai-sdk/otel` alongside `ai` and the SDK registers it for you so `experimental_telemetry` spans keep flowing into your run traces (v7 stopped emitting them from `ai` core). v5 and v6 keep working unchanged. ([#3833](https://github.com/triggerdotdev/trigger.dev/pull/3833)) - `useTriggerChatTransport` now recovers when restored session state points at a session that no longer exists in the current environment ([#3816](https://github.com/triggerdotdev/trigger.dev/pull/3816)) - Offload large trigger payloads to object storage before sending the trigger API request. The SDK uploads packets at or above the existing 128KB limit and sends an `application/store` pointer instead of embedding large JSON in the request body. `TriggerTaskRequestBody` now validates that `application/store` payloads are non-empty storage paths. ([#3785](https://github.com/triggerdotdev/trigger.dev/pull/3785)) Payload uploads use the same resolved `ApiClient` as the trigger call (including `requestOptions.clientConfig`), not only the global `apiClientManager.client` — so custom `baseURL`, access token, and preview branch apply to both presign and trigger. - Update the bundled OpenTelemetry packages to their latest releases (`@opentelemetry/sdk-node` 0.218.0, `@opentelemetry/core` 2.7.1, `@opentelemetry/host-metrics` 0.38.3). ([#3810](https://github.com/triggerdotdev/trigger.dev/pull/3810)) - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.5` </details> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> |
||
|
Eric Allam
|
8c9fee3933 |
feat(sdk): add AI SDK 7 support (#3833)
## Summary Adds support for Vercel AI SDK 7. The `ai` peer range now includes v7, and the `chat.agent` / chat surfaces work against v7's ESM-only build. v5 and v6 keep working unchanged, so this is additive. ## Telemetry on v7 On v7, model-call spans moved out of `ai` core into the separate `@ai-sdk/otel` adapter, so `experimental_telemetry` alone produces nothing until an integration is registered. Install `@ai-sdk/otel` alongside `ai@7` and the SDK registers it once per worker at chat agent boot, so spans keep flowing into run traces with no extra setup. If you (or a library you import) already register `@ai-sdk/otel`, the SDK detects the existing integration and skips its own registration, so you won't get duplicate spans. Set `TRIGGER_AI_SDK_OTEL_AUTOREGISTER=0` to disable auto-registration entirely. ## Notes `ai@7` is ESM-only, which tripped TS1479 in the SDK's CommonJS build. Runtime value imports from `ai` are isolated behind a paired ESM/CJS shim so both module formats resolve the right form; type-only imports stay as direct `import type` at their use sites. |
||
|
Katia Bulatova
|
bb7d7dc7d1 |
feat(sdk,core): offload large trigger payloads via object storage (#3785)
Adds backward-compatible support for large trigger payloads by reusing the existing object-storage packet flow. Large payloads are uploaded to object storage before the trigger request is sent. The trigger API receives a small application/store pointer payload instead of embedding large JSON bodies in the request. Small payload behavior is unchanged. |
||
|
Eric Allam
|
9818ad5240 |
fix(sdk): recover chat transport when a restored session no longer exists (#3816)
## Summary When a chat's restored session state points at a session that no longer exists in the current environment — for example a `sessions` entry that was persisted against a different trigger environment — `useTriggerChatTransport` assumed the session was live and never created a real one. The next message then failed with a 404 and the chat couldn't send. ## Fix `callWithAuthRetry` now treats a 404 from a session-PAT-authed call as "this session doesn't exist here". After the existing 401/403 token refresh, a 404 recreates the session via `startSession`, drops the stale `lastEventId` resume cursor (it pointed at another environment's stream), and retries the send once. When `startSession` isn't configured the transport throws a clear message instead of a bare 404. |
||
|
nicktrn
|
a9f756b260 |
chore: move reference projects to their own repo (#3812)
The reference/example projects (`references/`) now live in their own repo, https://github.com/triggerdotdev/references, so their heavy, frequently-changing dependencies are no longer part of this repo's lockfile and tooling. This removes them here and repoints everything that referenced them. - Deletes `references/`; updates the pnpm workspace + lockfile. - Clears the references-only CI rules and `.vscode` configs. - Repoints the docs (contributor/agent + one public page) to the new repo. - `seed.mts` keeps the local-dev projects (hello-world, d3-chat, realtime-streams). |
||
|
nicktrn
|
a4d8c9f65f |
chore(deps): update OpenTelemetry suite to 0.218.0 / 2.7.1 (#3810)
Brings the OpenTelemetry packages up to the latest coherent release
across the webapp and the published packages (`@trigger.dev/core`, the
CLI, `@trigger.dev/sdk`) plus
`internal-packages/{tracing,testcontainers}`:
- `@opentelemetry/sdk-node` 0.218.0
- `@opentelemetry/core` 2.7.1
- `@opentelemetry/host-metrics` 0.38.3
We were already on the otel 2.x line, so this is a same-major minor move
- the versions are pinned to `@opentelemetry/sdk-node@0.218.0`'s own
declared dependency set so the experimental (0.2xx) and stable (2.x)
packages stay coherent (mixing them is the usual otel breakage).
**One code change:** otel 0.215 made `forceFlush()` a required method on
`LogRecordExporter`, so `ExternalLogRecordExporterWrapper` (core's
tracing SDK) gains a `forceFlush()` that delegates to the underlying
exporter.
**Notable upgrades along the way:** OTLP exporters can take a custom
HTTP agent (connection pooling/keepAlive on the export path), HTTP
request headers are captured at span creation, and core hot-path perf
improvements in 2.6.1/2.7. `host-metrics` 0.37→0.38 is a clean upgrade.
Patch changeset added for the three published packages. References
projects are intentionally untouched.
Verified: `@trigger.dev/core` / CLI / `@trigger.dev/sdk` build, webapp +
`@internal/tracing` typecheck - all green.
|
||
|
github-actions[bot]
|
e0681d2394 |
chore: release v4.5.0-rc.4 (#3788)
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🧭 Helm Chart Release / release (push) Has been cancelled
## Summary 1 new feature, 5 improvements. ## Highlights - Mollifier `mutateSnapshot` now enforces a tag cap: an `append_tags` patch carrying `maxTags` returns `"limit_exceeded"` (writing nothing) when the deduped tag count would exceed the limit, so a buffered run can't accumulate more tags via the tags API than the trigger validator allows at creation. ([#3756](https://github.com/triggerdotdev/trigger.dev/pull/3756)) ## Improvements - Mollifier buffer extensions: idempotency dedup, an atomic `mutateSnapshot` API, metadata CAS, claim primitives, and a `MollifierSnapshot` type. The buffer's Redis client now reconnects with jittered backoff so a fleet of clients doesn't stampede Redis in lockstep after a blip. ([#3752](https://github.com/triggerdotdev/trigger.dev/pull/3752)) - Add `onTerminalFailure` callback to `MollifierDrainerOptions` so the customer's run lands a SYSTEM_FAILURE PG row even when the drainer exhausts `maxAttempts` on a retryable PG error. Previously, retryable-error exhaustion called `buffer.fail()` directly, which atomically marks FAILED + DELs the entry hash with no PG write — silent data loss when PG was unreachable across the full retry budget. The callback fires before `buffer.fail()` on any terminal path (`cause: "non-retryable"` or `"max-attempts-exhausted"`); throwing a retryable error from the callback causes the drainer to requeue rather than fail. ([#3754](https://github.com/triggerdotdev/trigger.dev/pull/3754)) - Bump `@s2-dev/streamstore` to `0.22.10` to fix a `TASK_RUN_UNCAUGHT_EXCEPTION` ("Invalid state: Unable to enqueue") when a `chat.agent` turn is aborted mid-stream. ([#3792](https://github.com/triggerdotdev/trigger.dev/pull/3792)) - Coerce numeric `concurrencyKey` values to string at the API boundary across `tasks.trigger`, `tasks.batchTrigger`, and the Phase-2 streaming batch endpoint. ([#3789](https://github.com/triggerdotdev/trigger.dev/pull/3789)) - Add a `tools` option to `chat.agent`. Declaring your tools here threads them into the SDK's internal `convertToModelMessages`, so each tool's `toModelOutput` is re-applied when prior-turn history is re-converted. ([#3790](https://github.com/triggerdotdev/trigger.dev/pull/3790)) <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/redis-worker@4.5.0-rc.4 ### Minor Changes - Mollifier buffer extensions: idempotency dedup, an atomic `mutateSnapshot` API, metadata CAS, claim primitives, and a `MollifierSnapshot` type. The buffer's Redis client now reconnects with jittered backoff so a fleet of clients doesn't stampede Redis in lockstep after a blip. ([#3752](https://github.com/triggerdotdev/trigger.dev/pull/3752)) - Add `onTerminalFailure` callback to `MollifierDrainerOptions` so the customer's run lands a SYSTEM_FAILURE PG row even when the drainer exhausts `maxAttempts` on a retryable PG error. Previously, retryable-error exhaustion called `buffer.fail()` directly, which atomically marks FAILED + DELs the entry hash with no PG write — silent data loss when PG was unreachable across the full retry budget. The callback fires before `buffer.fail()` on any terminal path (`cause: "non-retryable"` or `"max-attempts-exhausted"`); throwing a retryable error from the callback causes the drainer to requeue rather than fail. ([#3754](https://github.com/triggerdotdev/trigger.dev/pull/3754)) ### Patch Changes - Pipeline the per-entry `HGETALL` fetches in `MollifierBuffer.listEntriesForEnv`. The previous serial implementation issued one Redis round-trip per runId returned by `LRANGE`, which dominated stale-sweep wall-time at any meaningful backlog (at the sweep's default maxCount=1000, this is ~1000 RTTs per env per pass). Behaviour is unchanged — entries are still skipped when the entry hash has been torn down by a concurrent drainer ack/fail between the LRANGE and the HGETALL. ([#3752](https://github.com/triggerdotdev/trigger.dev/pull/3752)) - Mollifier `mutateSnapshot` now enforces a tag cap: an `append_tags` patch carrying `maxTags` returns `"limit_exceeded"` (writing nothing) when the deduped tag count would exceed the limit, so a buffered run can't accumulate more tags via the tags API than the trigger validator allows at creation. ([#3756](https://github.com/triggerdotdev/trigger.dev/pull/3756)) - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.4` ## @trigger.dev/build@4.5.0-rc.4 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.4` ## trigger.dev@4.5.0-rc.4 ### Patch Changes - Bump `@s2-dev/streamstore` to `0.22.10` to fix a `TASK_RUN_UNCAUGHT_EXCEPTION` ("Invalid state: Unable to enqueue") when a `chat.agent` turn is aborted mid-stream. ([#3792](https://github.com/triggerdotdev/trigger.dev/pull/3792)) - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.4` - `@trigger.dev/build@4.5.0-rc.4` - `@trigger.dev/schema-to-json@4.5.0-rc.4` ## @trigger.dev/core@4.5.0-rc.4 ### Patch Changes - Coerce numeric `concurrencyKey` values to string at the API boundary across `tasks.trigger`, `tasks.batchTrigger`, and the Phase-2 streaming batch endpoint. ([#3789](https://github.com/triggerdotdev/trigger.dev/pull/3789)) - Bump `@s2-dev/streamstore` to `0.22.10` to fix a `TASK_RUN_UNCAUGHT_EXCEPTION` ("Invalid state: Unable to enqueue") when a `chat.agent` turn is aborted mid-stream. ([#3792](https://github.com/triggerdotdev/trigger.dev/pull/3792)) ## @trigger.dev/plugins@4.5.0-rc.4 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.4` ## @trigger.dev/python@4.5.0-rc.4 ### Patch Changes - Updated dependencies: - `@trigger.dev/sdk@4.5.0-rc.4` - `@trigger.dev/core@4.5.0-rc.4` - `@trigger.dev/build@4.5.0-rc.4` ## @trigger.dev/react-hooks@4.5.0-rc.4 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.4` ## @trigger.dev/rsc@4.5.0-rc.4 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.4` ## @trigger.dev/schema-to-json@4.5.0-rc.4 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.4` ## @trigger.dev/sdk@4.5.0-rc.4 ### Patch Changes - Add a `tools` option to `chat.agent`. Declaring your tools here threads them into the SDK's internal `convertToModelMessages`, so each tool's `toModelOutput` is re-applied when prior-turn history is re-converted. ([#3790](https://github.com/triggerdotdev/trigger.dev/pull/3790)) ```ts chat.agent({ tools: { readFile, search }, run: async ({ messages, tools, signal }) => streamText({ model, messages, tools, abortSignal: signal }), }); ``` Also exports `InferChatUIMessageFromTools<typeof tools>` to derive the chat `UIMessage` type (typed tool parts) directly from a tool set. - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.4` </details> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> |
||
|
Eric Allam
|
e9e2ec1cfc |
fix(sdk): re-apply tool toModelOutput across chat.agent turns (#3790)
## Summary
`chat.agent` now takes a `tools` option. Until now tools only went to
`streamText` inside `run()`, so the SDK had no tools when it
re-converted the persisted `UIMessage` history at the start of each
turn. Any tool with a `toModelOutput` (raw image bytes into an image
content part, or a sub-agent transcript compressed to a summary) had its
transform applied on turn 1 and skipped from turn 2 onward, so the raw
output got JSON-stringified back into the prompt and the model lost the
transformed view.
Declaring `tools` on the config threads them into that conversion, so
`toModelOutput` runs on every turn. The resolved set is handed back,
typed, on the `run()` payload as `tools`:
```ts
const tools = { searchDocs, renderChart };
export const myChat = chat.agent({
tools,
run: async ({ messages, tools, signal }) =>
streamText({ ...chat.toStreamTextOptions({ tools }), messages, abortSignal: signal }),
});
```
`tools` also accepts a per-turn function for tools that depend on the
user or a feature flag. Only `inputSchema` and `toModelOutput` are read
during conversion, never `execute`. Also exports
`InferChatUIMessageFromTools<typeof tools>` to derive the chat
`UIMessage` type from a tool set. No behavior change for agents that
don't declare `tools`.
|
||
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github-actions[bot]
|
8f066ac389 |
chore: release v4.5.0-rc.3 (#3763)
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## Summary 1 improvement, 2 bug fixes. ## Improvements - Retry `TASK_MIDDLEWARE_ERROR` under the task's retry policy instead of failing the run on the first attempt. The error was already classified as retryable by `shouldRetryError`, but `shouldLookupRetrySettings` did not include it, so the retry flow fell through to `fail_run`. Fixes #3231. ([#3676](https://github.com/triggerdotdev/trigger.dev/pull/3676)) ## Bug fixes - Fix `TypeError` in `unflattenAttributes` when the input attribute map contains conflicting dotted key paths (e.g. both `a.b` set to a scalar and `a.b.c` set to a value). The path-walk loop now applies last-write-wins when a prior key wrote a primitive, null, or array at an intermediate slot, matching the existing precedent in `AttributeFlattener.addAttribute`. Callers no longer crash when handed malformed external attribute inputs. ([#3762](https://github.com/triggerdotdev/trigger.dev/pull/3762)) - Fix external trace context leaking across runs on warm-started workers with `processKeepAlive` enabled. Every subsequent run's attempt span was being exported with the first run's `traceId` and `parentSpanId`, breaking causal-chain navigation in external APM tools. Runs without an external trace context are unaffected. ([#3768](https://github.com/triggerdotdev/trigger.dev/pull/3768)) <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.3 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.3` ## trigger.dev@4.5.0-rc.3 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.3` - `@trigger.dev/build@4.5.0-rc.3` - `@trigger.dev/schema-to-json@4.5.0-rc.3` ## @trigger.dev/core@4.5.0-rc.3 ### Patch Changes - Retry `TASK_MIDDLEWARE_ERROR` under the task's retry policy instead of failing the run on the first attempt. The error was already classified as retryable by `shouldRetryError`, but `shouldLookupRetrySettings` did not include it, so the retry flow fell through to `fail_run`. Fixes #3231. ([#3676](https://github.com/triggerdotdev/trigger.dev/pull/3676)) - Fix `TypeError` in `unflattenAttributes` when the input attribute map contains conflicting dotted key paths (e.g. both `a.b` set to a scalar and `a.b.c` set to a value). The path-walk loop now applies last-write-wins when a prior key wrote a primitive, null, or array at an intermediate slot, matching the existing precedent in `AttributeFlattener.addAttribute`. Callers no longer crash when handed malformed external attribute inputs. ([#3762](https://github.com/triggerdotdev/trigger.dev/pull/3762)) - Fix external trace context leaking across runs on warm-started workers with `processKeepAlive` enabled. Every subsequent run's attempt span was being exported with the first run's `traceId` and `parentSpanId`, breaking causal-chain navigation in external APM tools. Runs without an external trace context are unaffected. ([#3768](https://github.com/triggerdotdev/trigger.dev/pull/3768)) ## @trigger.dev/plugins@4.5.0-rc.3 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.3` ## @trigger.dev/python@4.5.0-rc.3 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.3` - `@trigger.dev/build@4.5.0-rc.3` - `@trigger.dev/sdk@4.5.0-rc.3` ## @trigger.dev/react-hooks@4.5.0-rc.3 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.3` ## @trigger.dev/redis-worker@4.5.0-rc.3 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.3` ## @trigger.dev/rsc@4.5.0-rc.3 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.3` ## @trigger.dev/schema-to-json@4.5.0-rc.3 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.3` ## @trigger.dev/sdk@4.5.0-rc.3 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.0-rc.3` </details> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> |
||
|
github-actions[bot]
|
d34014ddcc |
chore: release v4.5.0-rc.2 (#3702)
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## Summary
3 improvements, 1 bug fix.
## Improvements
- The per-turn merge now overlays the wire copy's tool-part state
advancement onto the agent's existing chain — `state` + the matching
resolution field (`output` / `errorText` / `approval`) come from the
wire, everything else (text, reasoning, tool `input`, provider metadata)
stays whatever the snapshot or `hydrateMessages` returned. Previously a
full-message replace overwrote those fields with whatever the client
shipped, so a slimmed wire copy landed a tool call with no `arguments`
on the next LLM call. Covers `output-available` / `output-error` (HITL
`addToolOutput`) and `approval-responded` / `output-denied` (approval
flow).
- `TriggerChatTransport.sendMessages` and `AgentChat.sendRaw` now slim
assistant messages that carry advanced tool parts. The wire payload is
just `{ id, role, parts: [<state + resolution field>] }` for
`submit-message` continuations; everything else passes through.
Reasoning blobs and full tool inputs no longer ride the wire on every
`addToolOutput` / `addToolApproveResponse`, so continuation payloads
stay well under the `.in/append` cap on long agent loops.
- Add `TriggerClient` for running multiple SDK clients side-by-side,
each with its own auth, preview branch, and baseURL. Useful when a
single process needs to trigger tasks or read runs across multiple
projects, environments, or preview branches without mutating shared
global state.
([#3683](https://github.com/triggerdotdev/trigger.dev/pull/3683))
## Bug fixes
- Fix `chat.agent` HITL continuations on reasoning-heavy turns. Two
changes that work together:
([#3719](https://github.com/triggerdotdev/trigger.dev/pull/3719))
<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.2
### Patch Changes
- Updated dependencies:
- `@trigger.dev/core@4.5.0-rc.2`
## trigger.dev@4.5.0-rc.2
### Patch Changes
- Updated dependencies:
- `@trigger.dev/build@4.5.0-rc.2`
- `@trigger.dev/core@4.5.0-rc.2`
- `@trigger.dev/schema-to-json@4.5.0-rc.2`
## @trigger.dev/plugins@4.5.0-rc.2
### Patch Changes
- Updated dependencies:
- `@trigger.dev/core@4.5.0-rc.2`
## @trigger.dev/python@4.5.0-rc.2
### Patch Changes
- Updated dependencies:
- `@trigger.dev/sdk@4.5.0-rc.2`
- `@trigger.dev/build@4.5.0-rc.2`
- `@trigger.dev/core@4.5.0-rc.2`
## @trigger.dev/react-hooks@4.5.0-rc.2
### Patch Changes
- Updated dependencies:
- `@trigger.dev/core@4.5.0-rc.2`
## @trigger.dev/redis-worker@4.5.0-rc.2
### Patch Changes
- Updated dependencies:
- `@trigger.dev/core@4.5.0-rc.2`
## @trigger.dev/rsc@4.5.0-rc.2
### Patch Changes
- Updated dependencies:
- `@trigger.dev/core@4.5.0-rc.2`
## @trigger.dev/schema-to-json@4.5.0-rc.2
### Patch Changes
- Updated dependencies:
- `@trigger.dev/core@4.5.0-rc.2`
## @trigger.dev/sdk@4.5.0-rc.2
### Patch Changes
- Fix `chat.agent` HITL continuations on reasoning-heavy turns. Two
changes that work together:
([#3719](https://github.com/triggerdotdev/trigger.dev/pull/3719))
- The per-turn merge now overlays the wire copy's tool-part state
advancement onto the agent's existing chain — `state` + the matching
resolution field (`output` / `errorText` / `approval`) come from the
wire, everything else (text, reasoning, tool `input`, provider metadata)
stays whatever the snapshot or `hydrateMessages` returned. Previously a
full-message replace overwrote those fields with whatever the client
shipped, so a slimmed wire copy landed a tool call with no `arguments`
on the next LLM call. Covers `output-available` / `output-error` (HITL
`addToolOutput`) and `approval-responded` / `output-denied` (approval
flow).
- `TriggerChatTransport.sendMessages` and `AgentChat.sendRaw` now slim
assistant messages that carry advanced tool parts. The wire payload is
just `{ id, role, parts: [<state + resolution field>] }` for
`submit-message` continuations; everything else passes through.
Reasoning blobs and full tool inputs no longer ride the wire on every
`addToolOutput` / `addToolApproveResponse`, so continuation payloads
stay well under the `.in/append` cap on long agent loops.
Note: `onValidateMessages` receives the slim wire on HITL turns. If you
call `validateUIMessages` from `ai` against the full `messages` array it
will reject the slim assistant; filter to user messages (or skip on HITL
turns) — see the updated docstring on `onValidateMessages` for the
recommended pattern.
For `hydrateMessages` hooks that persist the chain, this release also
adds a small helper to the `@trigger.dev/sdk/ai` surface:
```ts
import { chat, upsertIncomingMessage } from "@trigger.dev/sdk/ai";
chat.agent({
hydrateMessages: async ({ chatId, trigger, incomingMessages }) => {
const record = await db.chat.findUnique({ where: { id: chatId } });
const stored = record?.messages ?? [];
if (upsertIncomingMessage(stored, { trigger, incomingMessages })) {
await db.chat.update({ where: { id: chatId }, data: { messages: stored }
});
}
return stored;
},
});
```
It pushes fresh user messages by id, no-ops on HITL continuations (the
incoming shares an id with the existing assistant — the runtime overlays
the new tool-state advance), and skips on non-`submit-message` triggers.
Returns `true` if it mutated `stored` so the caller knows whether to
persist.
Net effect: `chat.addToolOutput(...)` /
`chat.addToolApproveResponse(...)` on multi-step reasoning agents
(OpenAI Responses with `store: false`, Anthropic extended thinking,
etc.) no longer blows the cap and no longer corrupts the LLM input.
- Add `TriggerClient` for running multiple SDK clients side-by-side,
each with its own auth, preview branch, and baseURL. Useful when a
single process needs to trigger tasks or read runs across multiple
projects, environments, or preview branches without mutating shared
global state.
([#3683](https://github.com/triggerdotdev/trigger.dev/pull/3683))
```ts
import { TriggerClient } from "@trigger.dev/sdk";
const prod = new TriggerClient({ accessToken:
process.env.TRIGGER_PROD_KEY });
const preview = new TriggerClient({
accessToken: process.env.TRIGGER_PREVIEW_KEY,
previewBranch: "signup-flow",
});
await prod.tasks.trigger("send-email", payload);
await preview.runs.list({ status: ["COMPLETED"] });
```
- Updated dependencies:
- `@trigger.dev/core@4.5.0-rc.2`
## @trigger.dev/core@4.5.0-rc.2
</details>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
|
||
|
Eric Allam
|
75679c7518 |
fix(sdk): chat HITL continuations no longer break the next LLM call (#3719)
## Summary
Multi-step reasoning agents with HITL tools (OpenAI Responses with
`store: false`, Anthropic extended thinking, etc.) failed on
`chat.addToolOutput(...)` continuations — either the wire payload blew
the `.in/append` cap (reasoning blobs + tool inputs routinely > 512
KiB), or app-side slimming workarounds got overwritten server-side and
the next LLM call landed a tool call with no `arguments`. Both modes are
fixed.
## Design
The per-turn merge in `chat.agent` now overlays only the tool-part state
advances (`output-available` / `output-error` / `approval-responded` /
`output-denied`) from the wire copy onto the hydrated/snapshot chain.
Previously it replaced the entire message, which dropped `input`,
reasoning, and text from the LLM's view whenever the wire was slim.
In parallel, `TriggerChatTransport.sendMessages` and `AgentChat.sendRaw`
now slim the assistant message themselves on `submit-message`
continuations: ship `{ id, role, parts: [<resolved tool part only>] }`,
everything else reconstructed server-side from `hydrateMessages` or the
durable snapshot. Continuation payloads drop from 600 KiB – 1 MiB to ~1
KiB.
`references/ai-chat` `aiChatHydrated.hydrateMessages` now upserts by id
instead of pushing. With slim continuations, a blind push duplicates the
assistant id in the returned chain — the merge updates the first match,
the slim duplicate goes straight to `toModelMessages` with no `input`,
and the LLM 4xx's. This is the canonical pattern customers should mirror
in their own hydrate implementations.
## Test plan
- 11 new tests (slim helper unit + slim+merge integration for HITL,
approval, default no-hydrate branch)
- Full SDK suite: 239 tests pass across 19 files
- End-to-end sweep against `references/ai-chat`: 19 customer-side smoke
tests green; HITL wire bodies confirmed at ~1 KiB (was 600 KiB+); no
provider 4xx errors across OpenAI Responses or Anthropic
|
||
|
Eric Allam
|
832cf7220b |
feat(sdk,core): add TriggerClient for per-instance SDK configuration (#3683)
## Summary
`new TriggerClient({...})` exposes the management API (tasks, runs,
schedules, envvars, batch, queues, deployments, prompts, auth) as an
explicit instance with its own auth, preview branch, and baseURL.
Multiple clients can coexist in one process without mutating shared
global state — useful when a single service triggers across multiple
projects, environments, or preview branches.
```ts
import { TriggerClient } from "@trigger.dev/sdk";
const prod = new TriggerClient({ accessToken: process.env.TRIGGER_PROD_KEY });
const preview = new TriggerClient({
accessToken: process.env.TRIGGER_PREVIEW_KEY,
previewBranch: "signup-flow",
});
await prod.tasks.trigger("send-email", payload);
await preview.runs.list({ status: ["COMPLETED"] });
```
The existing global `configure()` API keeps working unchanged.
## Design
Instance methods enter an `AsyncLocalStorage`-backed scope (`sdkScope`)
before delegating to the existing module-level functions. The four
"pollution" points that previously read globals now consult the scope
first:
- `apiClientManager.{baseURL, accessToken, branchName}` and
`clientOrThrow` — identity fields are scope-only when scoped; `baseURL`
still falls back to `TRIGGER_API_URL` because plumbing (where the API
lives) is not identity.
- `taskContext.{ctx, worker, isWarmStart, isInsideTask}` — masked inside
an isolated scope so a `client.tasks.trigger(...)` from inside a task
doesn't leak the parent's `parentRunId` / `lockToVersion` / `isTest`
into a trigger that hits a different project.
- Inline `getEnvVar("TRIGGER_VERSION")` reads in `shared.ts` go through
a `scopedEnvVar` helper that returns `undefined` inside an isolated
scope.
The `TriggerClient` class itself is a thin wrapper that captures the
scope in its constructor and proxies each namespace method to enter that
scope before calling the existing impl. Generic inference (e.g.
`client.tasks.trigger<typeof t>(...)`) is preserved via `Pick<typeof ns,
keyof curatedSubset>` typings.
Two correctness fixes uncovered along the way are folded in:
- `apiClientManager.setGlobalAPIClientConfiguration` no longer silently
no-ops on the second call. `configure()` now actually overrides as users
expect (this is the root cause behind some "I changed the config but
nothing happened" reports).
- `apiClientManager.runWithConfig` (and therefore `auth.withAuth`) is
now backed by `sdkScope.withScope` instead of "mutate the global and
restore in finally". Two parallel `withAuth` calls with different
configs no longer stomp each other.
Surface curation: instance namespaces drop methods that don't make sense
per-instance — `batch.*AndWait` (runtime-dependent), `schedules.task` /
`schedules.timezones` (definition-time / stateless), `prompts.define`
(definition-time), `auth.configure` / `auth.withAuth` (global-only).
## Test plan
- [x] 9 runtime unit tests in `triggerClient.test.ts` cover: required
accessToken, instance auth + branch headers, no env fallback for
identity fields, no leakage between global and instance, four parallel
calls across two clients stay isolated, taskContext masking +
`inheritContext: true` override, `configure()` second-call override,
parallel `auth.withAuth` isolation.
- [x] 10 type-level assertions in `triggerClient.types.test.ts` using
`expectTypeOf` + `@ts-expect-error` lock in generic inference, return
type passthrough, overload preservation, and curated-surface drift.
- [x] Full SDK suite (219 tests) and core suite (530 tests) pass.
- [x] Webapp typecheck clean.
- [x] End-to-end smoke test against local webapp and a
freshly-provisioned cloud project — six concurrent multi-client triggers
all returned 200 with run IDs, headers per-client as expected.
- [ ] Reviewer: run `references/multi-client` per its `README.md` to
reproduce the smoke test locally.
## Try it
`references/multi-client` is a new reference workspace that exercises
this end-to-end:
- `src/trigger/echo.ts` — trivial target task
- `src/trigger/fanOut.ts` — opens two `TriggerClient`s from inside a
task, fires `echo` through each in parallel
- `src/external/main.ts` — external Node script with two clients
triggering `echo` sequentially and concurrently; logs every outgoing
request's `authorization` + `x-trigger-branch`
- `src/external/isolation.ts` — interleaves global `configure()` and an
instance call, asserts the captured fetch sequence shows no leakage
either way
|
||
|
github-actions[bot]
|
0b5b817a49 |
chore: release v4.5.0-rc.1 (#3691)
🚀 Publish Trigger.dev Docker / typecheck (push) Failing after 0s
🚀 Publish Trigger.dev Docker / publish-webapp (push) Has been skipped
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🧭 Helm Chart Release / release (push) Has been cancelled
## 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> |
||
|
github-actions[bot]
|
acfba02409 |
chore: release v4.5.0-rc.0 (#3563)
🚀 Publish Trigger.dev Docker / typecheck (push) Failing after 4s
🚀 Publish Trigger.dev Docker / units (push) Failing after 0s
🚀 Publish Trigger.dev Docker / publish-webapp (push) Has been skipped
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🧭 Helm Chart Release / lint-and-test (push) Has been cancelled
🧭 Helm Chart Release / release (push) Has been cancelled
## 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> |
||
|
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
|
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. |
||
|
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. |
||
|
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
|
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.
|
||
|
Eric Allam
|
16720a5e62 |
feat(sdk): chat.agent — runtime + browser transport
Adds the chat.agent({...}) task definition (server runtime) and the
browser-side TriggerChatTransport + AgentChat that drives it from a
React or Next.js app. The runtime sits on top of the Sessions primitive
and handles the durable conversational task lifecycle.
Server runtime:
- chat.agent({...}) — session-aware task definition
- Lifecycle hooks: onChatStart, onTurnStart, onTurnComplete, onAction,
onValidateMessages, hydrateMessages
- chat.history read primitives for HITL flows
- chat.local, chat.headStart, chat.handover, oomMachine
- Delta-only wire + S3 snapshot reconstruction at run boot
- Actions are no longer turns
Browser transport:
- TriggerChatTransport (ai-sdk Transport): delta-only wire sends,
SSE reconnection with lastEventId resume, stop/abort cleanup,
dynamic accessToken refresh
- AgentChat: direct programmatic API
- useTriggerChatTransport (React hook)
- chat-tab-coordinator: cross-tab leader election
Includes the chat-agent, chat-agent-delta-wire-snapshots,
chat-history-read-primitives, chat-head-start, chat-actions-no-turn,
chat-session-attributes, agent-skills, and mock-chat-agent-test-harness
changesets.
|
||
|
Eric Allam
|
be1a6cf8de |
feat: Sessions primitive — durable run-aware streams + dashboard
Adds Sessions, a durable, run-aware stream primitive that scopes session.in / session.out records to a session (not a single run). Records survive run boundaries; reconnect-from-last-event-id is built in. Server foundation: - New /realtime/v1/sessions/:session/:io/append + /records routes - sessionRunManager + sessionsRepository + clickhouseSessionsRepository - mintRunToken for short-lived per-session tokens - s2Append retry-with-backoff + undici cause diagnostics - /api/v[12]/packets/* exempt from customer rate limits - BackgroundWorker schema gains taskKind enum (TASK, AGENT, SCHEDULED) - TaskRun.taskKind column + clickhouse 029_add_task_kind_to_task_runs_v2 Core types: - new sessionStreams, inputStreams, realtimeStreams packages in @trigger.dev/core - session-streams-api / realtime-streams-api surface Sessions dashboard UI (the primitive's own viewer): - /sessions index + detail routes - SessionsTable, SessionFilters, SessionStatus, CloseSessionDialog - AGENT/SCHEDULED filter in RunFilters + TaskTriggerSource Includes the sessions-primitive changeset. |