## Summary 4 improvements, 1 bug fix. ## Improvements - Native build server deploys now show a single updating build log line by default; pass `--build-logs full` to stream every line (always used in CI and when output is not a terminal). ([#4817](https://github.com/triggerdotdev/trigger.dev/pull/4817)) - Realtime stream subscriptions can now refresh an expired access token and reconnect, via a new optional `refreshAccessToken` option on the client configuration and the React hooks. ([#4811](https://github.com/triggerdotdev/trigger.dev/pull/4811)) - Subscribe to a realtime stream from its latest record instead of replaying the whole history. Pass `from: "latest"` to `useRealtimeStream`, `streams.read()`, or `fetchStream` to start at the current tail (the latest record, then live updates) instead of replaying (a live "last value" view), and `maxParts` to keep the accumulated `parts` array bounded. A reconnect or remount resumes from the last record it saw, so no records are missed and none are replayed. `from: "latest"` needs a server that supports it; older servers safely fall back to a full replay. ([#4811](https://github.com/triggerdotdev/trigger.dev/pull/4811)) `useRealtimeStream` also gains a `lastEventId` option and returns the `lastEventId` of the last part seen, so you can persist the cursor (for example across a page reload) and resume exactly where you left off. An `onParts` callback delivers each throttled batch of parts with their event ids. ```tsx const { parts, lastEventId } = useRealtimeStream<Frame>(runId, "frames", { from: "latest", // skip history, start at the current tail maxParts: 1, // keep only the most recent frame lastEventId: savedCursor, // resume from a persisted cursor onParts: (batch) => save(batch.at(-1)?.id), // track the cursor accessToken, }); ``` - Added a `useSessionStream` React hook for reading a session's output or input channel in realtime. It accumulates records with automatic resume from the last record you received, and supports `from: "latest"` (start at the current tail, only new records after you connect), `maxRecords` (keep a bounded number of records in memory), a `lastEventId` resume cursor, and an `onRecords` callback that delivers each throttled batch of records with their event ids. ([#4811](https://github.com/triggerdotdev/trigger.dev/pull/4811)) ## Server changes These changes affect the self-hosted Docker image and Trigger.dev Cloud: - Task retries that wait in the queue no longer count against the queue's internal redelivery limit, so runs with many long-delay retries are not wrongly failed with TASK_RUN_DEQUEUED_MAX_RETRIES. ([#4810](https://github.com/triggerdotdev/trigger.dev/pull/4810)) <details> <summary>Raw changeset output</summary> # Releases ## @trigger.dev/build@4.5.14 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.14` ## trigger.dev@4.5.14 ### Patch Changes - Native build server deploys now show a single updating build log line by default; pass `--build-logs full` to stream every line (always used in CI and when output is not a terminal). ([#4817](https://github.com/triggerdotdev/trigger.dev/pull/4817)) - Updated dependencies: - `@trigger.dev/core@4.5.14` - `@trigger.dev/build@4.5.14` - `@trigger.dev/schema-to-json@4.5.14` ## @trigger.dev/core@4.5.14 ### Patch Changes - Realtime stream subscriptions can now refresh an expired access token and reconnect, via a new optional `refreshAccessToken` option on the client configuration and the React hooks. ([#4811](https://github.com/triggerdotdev/trigger.dev/pull/4811)) - Subscribe to a realtime stream from its latest record instead of replaying the whole history. Pass `from: "latest"` to `useRealtimeStream`, `streams.read()`, or `fetchStream` to start at the current tail (the latest record, then live updates) instead of replaying (a live "last value" view), and `maxParts` to keep the accumulated `parts` array bounded. A reconnect or remount resumes from the last record it saw, so no records are missed and none are replayed. `from: "latest"` needs a server that supports it; older servers safely fall back to a full replay. ([#4811](https://github.com/triggerdotdev/trigger.dev/pull/4811)) `useRealtimeStream` also gains a `lastEventId` option and returns the `lastEventId` of the last part seen, so you can persist the cursor (for example across a page reload) and resume exactly where you left off. An `onParts` callback delivers each throttled batch of parts with their event ids. ```tsx const { parts, lastEventId } = useRealtimeStream<Frame>(runId, "frames", { from: "latest", // skip history, start at the current tail maxParts: 1, // keep only the most recent frame lastEventId: savedCursor, // resume from a persisted cursor onParts: (batch) => save(batch.at(-1)?.id), // track the cursor accessToken, }); ``` ## @trigger.dev/python@4.5.14 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.14` - `@trigger.dev/sdk@4.5.14` - `@trigger.dev/build@4.5.14` ## @trigger.dev/react-hooks@4.5.14 ### Patch Changes - Realtime stream subscriptions can now refresh an expired access token and reconnect, via a new optional `refreshAccessToken` option on the client configuration and the React hooks. ([#4811](https://github.com/triggerdotdev/trigger.dev/pull/4811)) - Subscribe to a realtime stream from its latest record instead of replaying the whole history. Pass `from: "latest"` to `useRealtimeStream`, `streams.read()`, or `fetchStream` to start at the current tail (the latest record, then live updates) instead of replaying (a live "last value" view), and `maxParts` to keep the accumulated `parts` array bounded. A reconnect or remount resumes from the last record it saw, so no records are missed and none are replayed. `from: "latest"` needs a server that supports it; older servers safely fall back to a full replay. ([#4811](https://github.com/triggerdotdev/trigger.dev/pull/4811)) `useRealtimeStream` also gains a `lastEventId` option and returns the `lastEventId` of the last part seen, so you can persist the cursor (for example across a page reload) and resume exactly where you left off. An `onParts` callback delivers each throttled batch of parts with their event ids. ```tsx const { parts, lastEventId } = useRealtimeStream<Frame>(runId, "frames", { from: "latest", // skip history, start at the current tail maxParts: 1, // keep only the most recent frame lastEventId: savedCursor, // resume from a persisted cursor onParts: (batch) => save(batch.at(-1)?.id), // track the cursor accessToken, }); ``` - Added a `useSessionStream` React hook for reading a session's output or input channel in realtime. It accumulates records with automatic resume from the last record you received, and supports `from: "latest"` (start at the current tail, only new records after you connect), `maxRecords` (keep a bounded number of records in memory), a `lastEventId` resume cursor, and an `onRecords` callback that delivers each throttled batch of records with their event ids. ([#4811](https://github.com/triggerdotdev/trigger.dev/pull/4811)) - Updated dependencies: - `@trigger.dev/core@4.5.14` ## @trigger.dev/redis-worker@4.5.14 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.14` ## @trigger.dev/rsc@4.5.14 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.14` ## @trigger.dev/schema-to-json@4.5.14 ### Patch Changes - Updated dependencies: - `@trigger.dev/core@4.5.14` ## @trigger.dev/sdk@4.5.14 ### Patch Changes - Subscribe to a realtime stream from its latest record instead of replaying the whole history. Pass `from: "latest"` to `useRealtimeStream`, `streams.read()`, or `fetchStream` to start at the current tail (the latest record, then live updates) instead of replaying (a live "last value" view), and `maxParts` to keep the accumulated `parts` array bounded. A reconnect or remount resumes from the last record it saw, so no records are missed and none are replayed. `from: "latest"` needs a server that supports it; older servers safely fall back to a full replay. ([#4811](https://github.com/triggerdotdev/trigger.dev/pull/4811)) `useRealtimeStream` also gains a `lastEventId` option and returns the `lastEventId` of the last part seen, so you can persist the cursor (for example across a page reload) and resume exactly where you left off. An `onParts` callback delivers each throttled batch of parts with their event ids. ```tsx const { parts, lastEventId } = useRealtimeStream<Frame>(runId, "frames", { from: "latest", // skip history, start at the current tail maxParts: 1, // keep only the most recent frame lastEventId: savedCursor, // resume from a persisted cursor onParts: (batch) => save(batch.at(-1)?.id), // track the cursor accessToken, }); ``` - Updated dependencies: - `@trigger.dev/core@4.5.14` </details> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Server Changes
This directory tracks changes to server-only components (webapp, supervisor, etc.) that are not captured by changesets. Changesets only track published npm packages — server changes would otherwise go undocumented.
When to add a file
These entries are user-facing release notes, not a catalog of every change. The test is "would a user or customer care about this change?", not "did I touch a server app?". Add one only when a server-only change is something a user would notice, act on, or want to hear about (a feature, a bug fix they could have hit, a behavior or performance change they would feel). Skip it for internal-only or admin-only changes, refactors, test-only changes, chores, and performance tuning with no user-visible effect. Anyone who wants the exact history reads the commits. When in doubt, ask a maintainer rather than adding a note by default.
Server-only PRs: If your PR only changes apps/webapp/, apps/supervisor/, or other server components (and does NOT change anything in packages/) AND the change is user-facing, add a .server-changes/ file.
Mixed PRs (both packages and server): the changeset covers it, so no .server-changes/ file is needed. If the package change is internal and needs no changeset but the server change is user-facing, add a .server-changes/ file for it.
Package-only PRs: Just add a changeset as usual, when the change is user-facing.
File format
Create a markdown file with a descriptive name:
.server-changes/fix-batch-queue-stalls.md
With this format:
---
area: webapp
type: fix
---
Speed up batch queue processing by removing stalls and fixing retry race
Fields
- area (required):
webapp|supervisor - type (required):
feature|fix|improvement|breaking
Description
The body text (below the frontmatter) is a one-line description of the change. Keep it concise — it will appear in release notes.
Writing guidance
These entries are public-facing - they ship verbatim in user-visible release notes. A few rules to keep them clean:
- Write for the user, not the reviewer. Lead with what the user notices or has to do. If a reader who doesn't know the codebase can't tell what changed for them, rewrite it.
- One sentence is usually enough. The body is the bullet in the changelog. If you need a paragraph, you're probably describing the implementation rather than the change.
- Describe behavior, not implementation. Skip internal scopes, middleware names, library specifics, framework internals. Users care about what's different for them, not how it's wired.
- Never name internal tools or infra. Observability stacks, internal services, infra components, monitoring backends, CI surfaces, AWS specifics - none of these belong in user-facing notes.
Before / after:
- ❌ "The image verification step now parses the manifest's layer media types and returns a new result the finalizer rejects." (describes the wiring; a user can't act on it)
- ✅ "Deploying with an outdated CLI could produce an image that fails to start on every run. These deploys are now stopped before going live, with a message asking you to upgrade the CLI and re-deploy." (what the user sees and does)
Lifecycle
- Engineer adds a
.server-changes/file in their PR - Files accumulate on
mainas PRs merge - The changeset release PR includes these in its summary
- After the release merges, CI cleans up the consumed files
Examples
New feature:
---
area: webapp
type: feature
---
TRQL query language and the Query page
Bug fix:
---
area: webapp
type: fix
---
Fix schedule limit counting for orgs with custom limits
Improvement:
---
area: webapp
type: improvement
---
Use the replica for API auth queries to reduce primary load