Files
triggerdotdev--trigger.dev/.server-changes
github-actions[bot] f8aacacb8f chore: release v4.5.14 (#4813)
## 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>
2026-08-28 21:39:08 +01:00
..

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

  1. Engineer adds a .server-changes/ file in their PR
  2. Files accumulate on main as PRs merge
  3. The changeset release PR includes these in its summary
  4. 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