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feat(langgraph): add set_node_defaults() to StateGraph#7747

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Sydney Runkle (sydney-runkle) merged 9 commits into
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May 11, 2026
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feat(langgraph): add set_node_defaults() to StateGraph#7747
Sydney Runkle (sydney-runkle) merged 9 commits into
mainfrom
long/default-err-handler

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@longquanzheng

@longquanzheng Quanzheng Long (longquanzheng) commented May 8, 2026

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Add StateGraph.set_node_defaults() — a fluent builder method for setting graph-wide node policies in one place. Per-node values from add_node() always take precedence. Defaults are applied at compile() time.

graph = (
    StateGraph(State)
    .set_node_defaults(
        retry_policy=RetryPolicy(max_attempts=3),
        error_handler=my_fallback_handler,
        timeout=TimeoutPolicy(run_timeout=30),
    )
    .add_node("a", node_a)
    .add_node("b", node_b, retry_policy=custom)  # overrides default
    .add_edge(START, "a")
    .compile()
)

Error handlers are never invoked on error-handler nodes themselves — handler failures fail the run. Not inherited by subgraphs.

Supported defaults

set_node_defaults() kwarg Fallback for add_node(...) kwarg Applies to error-handler nodes?
retry_policy retry_policy Yes
cache_policy cache_policy No — caching handler results is unsafe
error_handler error_handler No — handlers must never catch themselves
timeout timeout Yes

Changes

  • libs/langgraph/langgraph/graph/state.py — new _NodeDefaults dataclass, set_node_defaults() method on StateGraph; compile() applies builder defaults to node specs with per-branch rules for which defaults apply to error-handler nodes.
  • libs/langgraph/tests/test_retry.py — 14 new tests covering all four policy types, per-node override precedence, chaining, combined retry+handler, handler exclusion, RunnableConfig injection, and name collision.

Verification

make format, make lint, make test all passing in libs/langgraph.

@longquanzheng Quanzheng Long (longquanzheng) changed the title done feat(langgraph): add default_error_handler to StateGraph.compile() May 8, 2026

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one other idea -- do we also want to support:

  • default node retry policy?
  • default node cache policy?

if we do, do we want a cleaner API (not just 3 new args)

and another note, i've heard requests for graph level timeouts as well... that would be implemented differently though (it's not a node default)

Comment thread libs/langgraph/langgraph/graph/state.py Outdated
debug: bool = False,
name: str | None = None,
transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
default_error_handler: StateNode[Any, ContextT] | None = None,

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ok actually, i think might be cleaner in StateGraph.__init__

that way we can just manage this in add_node :)

can we TAL at that alternative?

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great feedback. change to set_defaults for now.

@longquanzheng Quanzheng Long (longquanzheng) changed the title feat(langgraph): add default_error_handler to StateGraph.compile() feat(langgraph): add set_defaults() and default_error_handler to StateGraph May 8, 2026
Comment thread libs/langgraph/langgraph/graph/state.py Outdated
self._add_schema(self.input_schema, allow_managed=False)
self._add_schema(self.output_schema, allow_managed=False)

def set_defaults(

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set_node_defaults?

Comment thread libs/langgraph/langgraph/graph/state.py Outdated
self.output_schema = cast(type[OutputT], output_schema or state_schema)
self.context_schema = context_schema

self._default_retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None

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self._node_defaults.retry_policy? and similar

Comment thread libs/langgraph/langgraph/graph/state.py Outdated
debug: bool = False,
name: str | None = None,
transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
default_error_handler: StateNode[Any, ContextT] | None = None,

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let's remove this arg to compile and just expose the set_defaults method

…r_handler compile arg

Consolidate the four `_default_*` builder fields into a single
`_NodeDefaults` dataclass and apply defaults via a tight
`_apply_node_defaults` loop in `compile()`. Per-spec mutation already
fills every node's policy before Pregel sees it, so the redundant
graph-level `retry_policy`/`cache_policy` pass-through is dropped.
@sydney-runkle

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question here is where we want to apply defaults
if we do it in compile, then the order of set_node_defaults and add_node doesn't matter
but it feels cleaner if when you add a node, the policy gets attached (so you could inspect the nodes and see)
but i don't really want to enforce this in 2 places

@sydney-runkle

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if we supported on init as opposed to a method, we could enforce at node addition time

…efaults=...) and apply at add_node time

Promote the internal _NodeDefaults dataclass to a public NodeDefaults
constructor arg. Defaults are resolved per-spec inside add_node, so
compile() no longer needs an apply pass. The synthetic default
error-handler node is materialized in __init__ when set, and add_node's
existing duplicate-name guard now naturally rejects user nodes that
collide with it.
…h(node_defaults=...) and apply at add_node time"

This reverts commit d04b1c4.
@longquanzheng Quanzheng Long (longquanzheng) changed the title feat(langgraph): add set_defaults() and default_error_handler to StateGraph feat(langgraph): add set_node_defaults() to StateGraph May 11, 2026

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a few things that might be odd here -- nodes don't have the correct retry policy / error handler / timeout until compile time :/

@sydney-runkle Sydney Runkle (sydney-runkle) merged commit 3db82d5 into main May 11, 2026
67 checks passed
@sydney-runkle Sydney Runkle (sydney-runkle) deleted the long/default-err-handler branch May 11, 2026 23:37
Sydney Runkle (sydney-runkle) pushed a commit to langchain-ai/docs that referenced this pull request May 19, 2026
## Summary

- Add a new `## Graph-wide defaults with set_node_defaults` section to
the LangGraph fault tolerance page
- Documents the new `set_node_defaults()` method on `StateGraph`
introduced in
[langchain-ai/langgraph#7747](langchain-ai/langgraph#7747)
- Covers: overview with full example, precedence rules, default error
handler (with `RunnableConfig`), applicability matrix, and scope note
- Updated the intro bullet list to reference the new section
- Added a Limitations bullet for subgraph inheritance

## Links

- Linear:
https://linear.app/langchain/issue/DOC-1112/update-langgraph-fault-tolerance-page-based-on-pr-7747
- Slack:
https://langchain.slack.com/archives/C09G1T60QV9/p1779224166104029
- Reference PR: langchain-ai/langgraph#7747

## Verification

Not run; docs-only copy change.

## Reviewers

Requested review from: @npentrel, @lnhsingh

Co-authored-by: Docs Bot <brace@langchain.dev>
Christian Bromann (christian-bromann) added a commit to langchain-ai/langgraphjs that referenced this pull request Jun 1, 2026
… policy defaults

Port of langchain-ai/langgraph#7747. Adds a fluent setNodeDefaults({ retryPolicy?, cachePolicy? }) builder method that sets graph-wide node policy defaults, resolved at compile() time so call order is irrelevant. Per-node addNode values always take precedence. Defaults are not inherited by subgraphs.

Scoped to the retryPolicy/cachePolicy node policies that exist in JS today; Python's error_handler/timeout defaults are out of scope because those node features do not yet exist in the JS engine.
Christian Bromann (christian-bromann) pushed a commit to langchain-ai/langgraphjs that referenced this pull request Jun 10, 2026
This PR was opened by the [Changesets
release](https://github.com/changesets/action) GitHub action. When
you're ready to do a release, you can merge this and the packages will
be published to npm automatically. If you're not ready to do a release
yet, that's fine, whenever you add more changesets to main, this PR will
be updated.


# Releases
## @langchain/langgraph-checkpoint@1.1.0

### Minor Changes

- [#2452](#2452)
[`a8e7659`](a8e7659)
Thanks [@christian-bromann](https://github.com/christian-bromann)! - Add
`DeltaChannel` and the writes-history saver API (beta).

`DeltaChannel` is a reducer channel that stores only a sentinel in
checkpoint
blobs instead of the full accumulated value, reconstructing state on
read by
replaying ancestor writes through a batch reducer. This avoids
re-serializing
the entire accumulated value at every step (e.g. long message
histories).

- `DeltaChannel(reducer, { snapshotFrequency })` in
`@langchain/langgraph` —
count-based snapshot cadence (default `snapshotFrequency=1000`) plus a
system bound `DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT` (default 5000, env
        `LANGGRAPH_DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT`).
- `messagesDeltaReducer` — a batching-invariant messages reducer that
coerces
        raw object/string writes, for use with `DeltaChannel`.
- `BaseCheckpointSaver.getDeltaChannelHistory({ config, channels })`
(beta) —
walks the parent chain returning per-channel `{ writes, seed? }`, with a
        direct-storage override in `MemorySaver`.
- `counters_since_delta_snapshot` added to `CheckpointMetadata`;
`DeltaSnapshot`
        serialization support in the JSON+ serializer.

Reconstruction is wired through the Pregel read/execution paths
(initialization,
`getState`, `updateState`, local reads) and `exit` durability
accumulates and
anchors delta writes so threads remain reconstructible without forcing
    snapshots.

### Patch Changes

- [#2450](#2450)
[`2f6d873`](2f6d873)
Thanks [@christian-bromann](https://github.com/christian-bromann)! - Add
node-level timeouts.

A `timeout` option is now supported on `StateGraph.addNode`, the
functional API
(`task`/`entrypoint`), and the `Send` constructor. Pass a number of
milliseconds
    for a hard wall-clock cap, or a `TimeoutPolicy` for finer control:

    ```ts
    import { TimeoutPolicy } from "@langchain/langgraph";

    // hard wall-clock cap on each attempt
    builder.addNode("agent", agentFn, { timeout: 60_000 });

    // full control
    builder.addNode("agent", agentFn, {
      timeout: {
        runTimeout: 60_000, // hard wall-clock cap, never refreshed
        idleTimeout: 10_000, // cap on time without observable progress
        refreshOn: "auto", // "auto" | "heartbeat"
      },
    });

    // per-task override
    new Send("agent", state, { timeout: { idleTimeout: 5_000 } });
    ```

    When a timeout fires, a `NodeTimeoutError` (carrying `node`, `kind`
(`"run"`/`"idle"`), `timeout`, `elapsed`, `runTimeout`, `idleTimeout`)
is raised,
the attempt's buffered writes are dropped, and the node's `AbortSignal`
is
aborted. `idleTimeout` is refreshed by observable progress (writes,
custom
stream-writer calls, child-task scheduling, callback events) or an
explicit
    `runtime.heartbeat()` call. The timer resets per retry attempt, and
    `NodeTimeoutError` is retryable under the default retry policy.

Ports langchain-ai/langgraph#7599,
[#7646](https://github.com/langchain-ai/langgraphjs/issues/7646), and
[#7659](https://github.com/langchain-ai/langgraphjs/issues/7659).

## @langchain/langgraph@1.4.0

### Minor Changes

- [#2449](#2449)
[`d12d269`](d12d269)
Thanks [@christian-bromann](https://github.com/christian-bromann)! - Add
cooperative, between-superstep graph draining via `RunControl`.

    A new `RunControl` (exported from `@langchain/langgraph`) exposes
`requestDrain(reason)` plus read-only `drainRequested` / `drainReason`.
Pass it
through the new `control` option on `invoke` / `stream` / `streamEvents`
(and the
functional API). It is surfaced on `runtime.control`, so nodes can read
it or call
    `requestDrain()` themselves, and it is propagated into subgraphs.

When a drain is requested, the Pregel loop checks the flag at the top of
each
superstep (after the previous step's writes are applied and
checkpointed): if more
tasks remain it saves the checkpoint and throws the new `GraphDrained`
error (also
under `durability: "exit"`), so the run can be resumed later from the
same config.
If the graph naturally finishes on that tick it returns normally and the
caller can
inspect `control.drainRequested`. A drain requested inside a subgraph
bubbles up and
stops the parent at its next boundary. Draining never cancels work that
is already
running — pair it with an `AbortSignal` if you need a hard upper bound.

- [#2452](#2452)
[`a8e7659`](a8e7659)
Thanks [@christian-bromann](https://github.com/christian-bromann)! - Add
`DeltaChannel` and the writes-history saver API (beta).

`DeltaChannel` is a reducer channel that stores only a sentinel in
checkpoint
blobs instead of the full accumulated value, reconstructing state on
read by
replaying ancestor writes through a batch reducer. This avoids
re-serializing
the entire accumulated value at every step (e.g. long message
histories).

- `DeltaChannel(reducer, { snapshotFrequency })` in
`@langchain/langgraph` —
count-based snapshot cadence (default `snapshotFrequency=1000`) plus a
system bound `DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT` (default 5000, env
        `LANGGRAPH_DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT`).
- `messagesDeltaReducer` — a batching-invariant messages reducer that
coerces
        raw object/string writes, for use with `DeltaChannel`.
- `BaseCheckpointSaver.getDeltaChannelHistory({ config, channels })`
(beta) —
walks the parent chain returning per-channel `{ writes, seed? }`, with a
        direct-storage override in `MemorySaver`.
- `counters_since_delta_snapshot` added to `CheckpointMetadata`;
`DeltaSnapshot`
        serialization support in the JSON+ serializer.

Reconstruction is wired through the Pregel read/execution paths
(initialization,
`getState`, `updateState`, local reads) and `exit` durability
accumulates and
anchors delta writes so threads remain reconstructible without forcing
    snapshots.

- [#2451](#2451)
[`d65a920`](d65a920)
Thanks [@christian-bromann](https://github.com/christian-bromann)! -
feat(langgraph): add node-level error handlers

`StateGraph.addNode(name, fn, { errorHandler })` now accepts a
first-class
node-level error handler. The handler runs ONLY after the failing node's
`retryPolicy` is exhausted, so retry and handling stay decoupled. It
receives a
typed `NodeError { node, error }` and the typed node input state, can
return a
state update, and can route to a recovery branch via `new Command({ goto
})`
    (saga / compensation flows).

Failure provenance is checkpointed (via a reserved `ERROR_SOURCE_NODE`
write) so
handlers observe the same context after a checkpoint resume. Uncaught
node
errors without a handler still abort the run as before, and
`GraphBubbleUp`
    errors (such as `interrupt()`) are never swallowed by a handler.

`StateGraph.setNodeDefaults({ errorHandler })` now also accepts a
graph-wide
default handler. It is materialized at `compile()` as a single shared
handler
and invoked for every regular node that does not set its own
`errorHandler`. A
per-node handler always takes precedence, the default never catches a
failure
raised by an error-handler node itself (handler failures fail the run),
and the
    default is not inherited by subgraphs.

    Ports the Python feature from langchain-ai/langgraph#7233.

- [#2450](#2450)
[`2f6d873`](2f6d873)
Thanks [@christian-bromann](https://github.com/christian-bromann)! - Add
node-level timeouts.

A `timeout` option is now supported on `StateGraph.addNode`, the
functional API
(`task`/`entrypoint`), and the `Send` constructor. Pass a number of
milliseconds
    for a hard wall-clock cap, or a `TimeoutPolicy` for finer control:

    ```ts
    import { TimeoutPolicy } from "@langchain/langgraph";

    // hard wall-clock cap on each attempt
    builder.addNode("agent", agentFn, { timeout: 60_000 });

    // full control
    builder.addNode("agent", agentFn, {
      timeout: {
        runTimeout: 60_000, // hard wall-clock cap, never refreshed
        idleTimeout: 10_000, // cap on time without observable progress
        refreshOn: "auto", // "auto" | "heartbeat"
      },
    });

    // per-task override
    new Send("agent", state, { timeout: { idleTimeout: 5_000 } });
    ```

    When a timeout fires, a `NodeTimeoutError` (carrying `node`, `kind`
(`"run"`/`"idle"`), `timeout`, `elapsed`, `runTimeout`, `idleTimeout`)
is raised,
the attempt's buffered writes are dropped, and the node's `AbortSignal`
is
aborted. `idleTimeout` is refreshed by observable progress (writes,
custom
stream-writer calls, child-task scheduling, callback events) or an
explicit
    `runtime.heartbeat()` call. The timer resets per retry attempt, and
    `NodeTimeoutError` is retryable under the default retry policy.

Ports langchain-ai/langgraph#7599,
[#7646](https://github.com/langchain-ai/langgraphjs/issues/7646), and
[#7659](https://github.com/langchain-ai/langgraphjs/issues/7659).

- [#2461](#2461)
[`801d955`](801d955)
Thanks [@christian-bromann](https://github.com/christian-bromann)! - Add
`StateGraph.setNodeDefaults()` for setting graph-wide node policy
defaults (`retryPolicy`, `cachePolicy`). Per-node values passed to
`addNode` always take precedence, and defaults are resolved at
`compile()` time so call order does not matter. Defaults are not
inherited by subgraphs. Ports Python's `set_node_defaults()`
(langchain-ai/langgraph#7747).

### Patch Changes

- [#2179](#2179)
[`01c67df`](01c67df)
Thanks [@christian-bromann](https://github.com/christian-bromann)! -
fix(core): time travel replay/fork for graphs with interrupts and
subgraphs

Ports Python fixes for stale RESUME writes during replay, wrong subgraph
checkpoint loading during time travel, missing fork checkpoints on
replay, and direct-to-subgraph time travel.

- [#2514](#2514)
[`9e0201d`](9e0201d)
Thanks [@christian-bromann](https://github.com/christian-bromann)! -
fix(schema): expose StateSchema JSON schemas for Studio introspection

    Route StateSchema runtime definitions through getJsonSchema() and
    getInputJsonSchema() so LangGraph Studio receives state, input, and
    context schemas when graphs use the StateSchema primitive.

Fixes [#2466](#2466)

- [#2471](#2471)
[`9b96f60`](9b96f60)
Thanks [@christian-bromann](https://github.com/christian-bromann)! -
perf(core): skip debug checkpoint snapshots when not streaming them

Avoid building full-state `mapDebugCheckpoint` payloads on every tick
when
    no consumer subscribed to `checkpoints` or `debug` stream modes. v3
companion checkpoint envelopes are unchanged (they come from values
metadata).

- [#2472](#2472)
[`8e06ace`](8e06ace)
Thanks [@christian-bromann](https://github.com/christian-bromann)! -
perf(core): index pending writes for O(1) task-prep lookups

Build a PendingWritesIndex once per \_prepareNextTasks call so resume
and
skip-done-task checks avoid repeated linear scans over
checkpointPendingWrites.

- [#2473](#2473)
[`a8b0036`](a8b0036)
Thanks [@christian-bromann](https://github.com/christian-bromann)! -
perf(core): optimize applyWrites, interrupt seen, and channel errors

Reduce allocations in \_applyWrites, fix O(N²) interrupt versions_seen
updates,
skip stack traces on EmptyChannelError control flow, and cache task
lists in
    the pregel loop and runner.

- [#2444](#2444)
[`4096933`](4096933)
Thanks [@christian-bromann](https://github.com/christian-bromann)! -
feat(remote): add RemoteGraph v3 streaming support

Expose the v3 `streamEvents` surface for `RemoteGraph` by adapting
remote SDK thread streams to the local `GraphRunStream` shape.

- Updated dependencies
\[[`a8e7659`](a8e7659),
[`2f6d873`](2f6d873)]:
    -   @langchain/langgraph-checkpoint@1.1.0

## @langchain/langgraph-checkpoint-mongodb@1.3.4

### Patch Changes

- [#2517](#2517)
[`67a4f8d`](67a4f8d)
Thanks [@jackjin1997](https://github.com/jackjin1997)! - fix:
`MongoDBSaver.putWrites` now honors `WRITES_IDX_MAP`, pinning special
channels (`__error__`, `__scheduled__`, `__interrupt__`, `__resume__`)
to fixed negative indices instead of the call-local ordinal. Previously
a mixed `putWrites([[...regular...], [INTERRUPT, …]], taskId)` placed
the INTERRUPT at a positive idx that could collide with a regular write
at the same `(task_id, idx)`, and the unconditional `$set` upsert
silently overwrote whichever row landed there first. The
conflict-resolution clause now matches the Postgres / SQLite (TS and
Python) checkpointers: `$set` only when every channel is a special one,
`$setOnInsert` otherwise.

## @langchain/langgraph-checkpoint-postgres@1.0.3

### Patch Changes

- [#2512](#2512)
[`375c73f`](375c73f)
Thanks [@jackjin1997](https://github.com/jackjin1997)! - fix: reject SQL
`LIKE` wildcards (`%`, `_`) and the backslash escape character in
`PostgresStore` namespace labels. `BaseStore.search()` matches
namespaces via `namespace_path LIKE ${prefix}%`, and these characters in
caller-supplied namespace labels are interpreted as wildcards by
Postgres even through a bound parameter — letting a namespace prefix of
`["%"]` match every namespace in the store across tenants.
`validateNamespace` now throws for these characters at all `search` /
`get` / `put` entrypoints, keeping store-wide consistency. CWE-1336.

## @langchain/langgraph-checkpoint-redis@1.0.8

### Patch Changes

- [#2518](#2518)
[`9182ea3`](9182ea3)
Thanks [@jackjin1997](https://github.com/jackjin1997)! - fix:
`RedisSaver.putWrites` now honors `WRITES_IDX_MAP`, pinning special
channels (`__error__`, `__scheduled__`, `__interrupt__`, `__resume__`)
to fixed negative indices in their Redis key
(`checkpoint_write:…:<idx>`) instead of the call-local ordinal.
Previously a mixed `putWrites([[…regular…], [INTERRUPT, …]], taskId)`
placed the INTERRUPT key at the positive idx of its position in the
batch, where a peer task's regular write at the same idx would overwrite
it via the unconditional `JSON.SET`. The conflict-resolution clause now
matches Postgres / SQLite / MongoDB: unguarded `JSON.SET` when every
write is a special channel, `JSON.SET … NX` (insert-or-ignore)
otherwise.

## @langchain/langgraph-checkpoint-sqlite@1.0.3

### Patch Changes

- [#2516](#2516)
[`f6a6d26`](f6a6d26)
Thanks [@jackjin1997](https://github.com/jackjin1997)! - fix:
`SqliteSaver.putWrites` now honors `WRITES_IDX_MAP`, pinning special
channels (`__error__`, `__scheduled__`, `__interrupt__`, `__resume__`)
to fixed negative indices instead of the call-local ordinal. Previously
a follow-up `putWrites([[INTERRUPT, …]], taskId)` for the same
checkpoint silently `REPLACE`d the regular write previously stored at
`idx=0` for that task, losing data. The conflict-resolution clause also
now matches the Python checkpointer contract: `OR REPLACE` only when
every channel is a special one (so e.g. INTERRUPT→RESUME state
transitions overwrite), `OR IGNORE` otherwise.

## @langchain/angular@1.0.21

### Patch Changes

- [#2515](#2515)
[`49b8c1a`](49b8c1a)
Thanks [@christian-bromann](https://github.com/christian-bromann)! -
fix: make AnyStream a true supertype so selector hooks need no cast

    A concrete `useStream<typeof agent>()` handle was not assignable to
    `AnyStream` because generic-computed covariant members (`toolCalls`,
`values`) don't widen under `any` — `InferToolCalls<any>[]` resolves to
`AssembledToolCall<…, never>[]`, narrower than a concrete handle.
Override
    those members with their widest forms (preserving each framework's
reactivity wrapper — plain arrays for React/Svelte, `ShallowRef` for
Vue,
`Signal` for Angular) so the message/tool/value selector hooks accept a
    fully-typed stream without an `as AnyStream` cast.

## @langchain/react@1.0.21

### Patch Changes

- [#2515](#2515)
[`49b8c1a`](49b8c1a)
Thanks [@christian-bromann](https://github.com/christian-bromann)! -
fix: make AnyStream a true supertype so selector hooks need no cast

    A concrete `useStream<typeof agent>()` handle was not assignable to
    `AnyStream` because generic-computed covariant members (`toolCalls`,
`values`) don't widen under `any` — `InferToolCalls<any>[]` resolves to
`AssembledToolCall<…, never>[]`, narrower than a concrete handle.
Override
    those members with their widest forms (preserving each framework's
reactivity wrapper — plain arrays for React/Svelte, `ShallowRef` for
Vue,
`Signal` for Angular) so the message/tool/value selector hooks accept a
    fully-typed stream without an `as AnyStream` cast.

## @langchain/svelte@1.0.21

### Patch Changes

- [#2515](#2515)
[`49b8c1a`](49b8c1a)
Thanks [@christian-bromann](https://github.com/christian-bromann)! -
fix: make AnyStream a true supertype so selector hooks need no cast

    A concrete `useStream<typeof agent>()` handle was not assignable to
    `AnyStream` because generic-computed covariant members (`toolCalls`,
`values`) don't widen under `any` — `InferToolCalls<any>[]` resolves to
`AssembledToolCall<…, never>[]`, narrower than a concrete handle.
Override
    those members with their widest forms (preserving each framework's
reactivity wrapper — plain arrays for React/Svelte, `ShallowRef` for
Vue,
`Signal` for Angular) so the message/tool/value selector hooks accept a
    fully-typed stream without an `as AnyStream` cast.

## @langchain/vue@1.0.21

### Patch Changes

- [#2515](#2515)
[`49b8c1a`](49b8c1a)
Thanks [@christian-bromann](https://github.com/christian-bromann)! -
fix: make AnyStream a true supertype so selector hooks need no cast

    A concrete `useStream<typeof agent>()` handle was not assignable to
    `AnyStream` because generic-computed covariant members (`toolCalls`,
`values`) don't widen under `any` — `InferToolCalls<any>[]` resolves to
`AssembledToolCall<…, never>[]`, narrower than a concrete handle.
Override
    those members with their widest forms (preserving each framework's
reactivity wrapper — plain arrays for React/Svelte, `ShallowRef` for
Vue,
`Signal` for Angular) so the message/tool/value selector hooks accept a
    fully-typed stream without an `as AnyStream` cast.

## @example/ai-elements@0.1.36

### Patch Changes

- Updated dependencies
\[[`01c67df`](01c67df),
[`d12d269`](d12d269),
[`a8e7659`](a8e7659),
[`49b8c1a`](49b8c1a),
[`9e0201d`](9e0201d),
[`9b96f60`](9b96f60),
[`8e06ace`](8e06ace),
[`d65a920`](d65a920),
[`2f6d873`](2f6d873),
[`a8b0036`](a8b0036),
[`4096933`](4096933),
[`801d955`](801d955)]:
    -   @langchain/langgraph@1.4.0
    -   @langchain/react@1.0.21

## @examples/assistant-ui-claude@0.1.36

### Patch Changes

- Updated dependencies
\[[`01c67df`](01c67df),
[`d12d269`](d12d269),
[`a8e7659`](a8e7659),
[`49b8c1a`](49b8c1a),
[`9e0201d`](9e0201d),
[`9b96f60`](9b96f60),
[`8e06ace`](8e06ace),
[`d65a920`](d65a920),
[`2f6d873`](2f6d873),
[`a8b0036`](a8b0036),
[`4096933`](4096933),
[`801d955`](801d955)]:
    -   @langchain/langgraph@1.4.0
    -   @langchain/react@1.0.21

## @examples/ui-angular@0.0.46

### Patch Changes

- Updated dependencies
\[[`01c67df`](01c67df),
[`d12d269`](d12d269),
[`a8e7659`](a8e7659),
[`49b8c1a`](49b8c1a),
[`9e0201d`](9e0201d),
[`9b96f60`](9b96f60),
[`8e06ace`](8e06ace),
[`d65a920`](d65a920),
[`2f6d873`](2f6d873),
[`a8b0036`](a8b0036),
[`4096933`](4096933),
[`801d955`](801d955)]:
    -   @langchain/langgraph@1.4.0
    -   @langchain/angular@1.0.21

## @examples/ui-multimodal@0.0.22

### Patch Changes

- Updated dependencies
\[[`01c67df`](01c67df),
[`d12d269`](d12d269),
[`a8e7659`](a8e7659),
[`49b8c1a`](49b8c1a),
[`9e0201d`](9e0201d),
[`9b96f60`](9b96f60),
[`8e06ace`](8e06ace),
[`d65a920`](d65a920),
[`2f6d873`](2f6d873),
[`a8b0036`](a8b0036),
[`4096933`](4096933),
[`801d955`](801d955)]:
    -   @langchain/langgraph@1.4.0
    -   @langchain/react@1.0.21

## @examples/ui-react@0.0.22

### Patch Changes

- Updated dependencies
\[[`01c67df`](01c67df),
[`d12d269`](d12d269),
[`a8e7659`](a8e7659),
[`49b8c1a`](49b8c1a),
[`9e0201d`](9e0201d),
[`9b96f60`](9b96f60),
[`8e06ace`](8e06ace),
[`d65a920`](d65a920),
[`2f6d873`](2f6d873),
[`a8b0036`](a8b0036),
[`4096933`](4096933),
[`801d955`](801d955)]:
    -   @langchain/langgraph@1.4.0
    -   @langchain/react@1.0.21

## langgraph@1.0.40

### Patch Changes

- Updated dependencies
\[[`01c67df`](01c67df),
[`d12d269`](d12d269),
[`a8e7659`](a8e7659),
[`9e0201d`](9e0201d),
[`9b96f60`](9b96f60),
[`8e06ace`](8e06ace),
[`d65a920`](d65a920),
[`2f6d873`](2f6d873),
[`a8b0036`](a8b0036),
[`4096933`](4096933),
[`801d955`](801d955)]:
    -   @langchain/langgraph@1.4.0

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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