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langgraphjs/libs/sdk
github-actions[bot] 73ecaa0fb5 chore: version packages (#2536)
This PR was opened by the [Changesets
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be updated.


# Releases
## @langchain/langgraph-checkpoint@1.1.2

### Patch Changes

- [#2544](https://github.com/langchain-ai/langgraphjs/pull/2544)
[`4487214`](https://github.com/langchain-ai/langgraphjs/commit/448721449f0801009ba76b03dd2e9c16f900bbba)
Thanks [@christian-bromann](https://github.com/christian-bromann)! -
fix(langgraph): make concurrent DeltaChannel writes deterministic on
replay

Concurrent same-superstep writes to a `DeltaChannel` could reconstruct
from a
checkpoint differently than they were applied live, because live
execution
ordered them by task path while savers replayed them by task id. This
fixes that
    divergence in two complementary ways:

- Plain concurrent writes are now applied in the canonical `(task_id,
idx)`
order on both paths: `_applyWrites` orders them that way live, and the
`getDeltaChannelHistory` walk enforces the same order so reconstruction
matches live for every saver (Postgres, SQLite, MongoDB, Redis, and
custom).
- An `Overwrite` now wins its entire super-step: every sibling write in
the same
        step — before AND after the `Overwrite` — is discarded, matching
`BinaryOperatorAggregate`. This makes the result independent of the
(unstable)
ordering of concurrent fan-in writes; previously a plain write that
landed
        after an `Overwrite` in the same step was still folded in.

To keep reconstruction in sync with this `Overwrite` rule, any
`DeltaChannel`
that sees an `Overwrite` in a super-step is now force-snapshotted at the
next
checkpoint (and, under `"exit"` durability, in the final checkpoint).
The
post-overwrite value is materialized into `channel_values`, so a cold
read seeds
from that snapshot and never has to replay across the reset — making
live and
reconstructed state identical without changing the sparse-replay history
shape.
    These delta-channel APIs remain Beta.

- [#2531](https://github.com/langchain-ai/langgraphjs/pull/2531)
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b)
Thanks [@christian-bromann](https://github.com/christian-bromann)! -
fix(langgraph): forward task metadata and name subagents via
lc_agent_name

`mapDebugTasks` now forwards filtered user-meaningful task config
metadata
(including `lc_agent_name`) onto `tasks` stream payloads. The lifecycle
    transformer uses that metadata to set subagent `graph_name` from
`lc_agent_name` and recover `cause: { type: "toolCall", tool_call_id }`
from parent tool-dispatch tasks. Adds the shared
`EXCLUDED_METADATA_KEYS`
    constant to `@langchain/langgraph-checkpoint`. Ports langgraph#7928.

## @langchain/langgraph-checkpoint-redis@1.0.10

### Patch Changes

- [#2336](https://github.com/langchain-ai/langgraphjs/pull/2336)
[`25907eb`](https://github.com/langchain-ai/langgraphjs/commit/25907eb0be25258c26327c6c68c72bc828ee1cff)
Thanks [@MohMaherId](https://github.com/MohMaherId)! -
fix(langgraph-checkpoint-redis): persist and reconstruct full
`channel_values` across multi-node graphs.

`RedisSaver.put()` delta-filters `channel_values` to only the channels
written by the current node, but `getTuple()` had no reconstruction
logic — unlike `PostgresSaver` — so any multi-node graph whose last node
wrote a subset of channels silently lost the others. Each changed
channel is now persisted as a version-keyed `checkpoint_blob:*` entry in
`put()` and missing channels are reconstructed from those blobs on read.

`deleteThread()` now also deletes the `checkpoint_blob:*` keys. Without
this the blobs introduced above would orphan forever (memory growth) and
thread deletion would be incomplete, matching
`PostgresSaver.deleteThread()` parity.

When `ttlConfig.refreshOnRead` is enabled, reads now refresh the TTL of
the reconstructed `checkpoint_blob:*` keys alongside the checkpoint key.
Otherwise a read would keep the checkpoint alive while the blobs it
depends on expired, silently dropping reconstructed channels.

On write, `put()` now refreshes the TTL of every blob the checkpoint
references (the full `channel_versions` set), not just the channels
changed by the current node, so carried-over blobs from earlier nodes
expire in lockstep with the checkpoint doc. This write-side refresh is
independent of `refreshOnRead`. The per-channel blob writes also now run
in parallel.

Known limitation: with TTL enabled, a carried-over blob can still be
lost if it expires during an idle gap longer than `defaultTTL` (no read
or write refreshed it in time). When that happens the channel is left
cleanly absent on read rather than erroring. Fully closing this gap
(re-persisting expired blobs) is tracked as a follow-up.

## @langchain/langgraph@1.4.3

### Patch Changes

- [#2544](https://github.com/langchain-ai/langgraphjs/pull/2544)
[`4487214`](https://github.com/langchain-ai/langgraphjs/commit/448721449f0801009ba76b03dd2e9c16f900bbba)
Thanks [@christian-bromann](https://github.com/christian-bromann)! -
fix(langgraph): make concurrent DeltaChannel writes deterministic on
replay

Concurrent same-superstep writes to a `DeltaChannel` could reconstruct
from a
checkpoint differently than they were applied live, because live
execution
ordered them by task path while savers replayed them by task id. This
fixes that
    divergence in two complementary ways:

- Plain concurrent writes are now applied in the canonical `(task_id,
idx)`
order on both paths: `_applyWrites` orders them that way live, and the
`getDeltaChannelHistory` walk enforces the same order so reconstruction
matches live for every saver (Postgres, SQLite, MongoDB, Redis, and
custom).
- An `Overwrite` now wins its entire super-step: every sibling write in
the same
        step — before AND after the `Overwrite` — is discarded, matching
`BinaryOperatorAggregate`. This makes the result independent of the
(unstable)
ordering of concurrent fan-in writes; previously a plain write that
landed
        after an `Overwrite` in the same step was still folded in.

To keep reconstruction in sync with this `Overwrite` rule, any
`DeltaChannel`
that sees an `Overwrite` in a super-step is now force-snapshotted at the
next
checkpoint (and, under `"exit"` durability, in the final checkpoint).
The
post-overwrite value is materialized into `channel_values`, so a cold
read seeds
from that snapshot and never has to replay across the reset — making
live and
reconstructed state identical without changing the sparse-replay history
shape.
    These delta-channel APIs remain Beta.

- [#2531](https://github.com/langchain-ai/langgraphjs/pull/2531)
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b)
Thanks [@christian-bromann](https://github.com/christian-bromann)! -
fix(langgraph): merge instead of overwrite in `ensureLangGraphConfig`

`ensureLangGraphConfig` now per-key merges `callbacks`, `tags`,
`metadata`,
and `configurable` across configs instead of last-write-wins, so values
bound via `.withConfig({...})` survive when a later (e.g. invoke-time)
config supplies other keys. The merged dicts are fresh objects, fixing a
by-reference mutation of shared base configs. Also drops the
now-redundant
`combineCallbacks` workaround in `streamEvents`, which double-registered
and
    double-fired graph-bound callbacks.

- [#2531](https://github.com/langchain-ai/langgraphjs/pull/2531)
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b)
Thanks [@christian-bromann](https://github.com/christian-bromann)! -
fix(langgraph): preserve namespace nesting for imperative graph invokes

When a compiled graph is invoked from inside another graph's running
task
(e.g. a tool body calling `subAgent.invoke(...)`), the surrounding task
context — including the langgraph-internal nesting keys
(`__pregel_read`,
`__pregel_stream`, `checkpoint_ns`, the checkpoint map) — is propagated
    implicitly via `AsyncLocalStorage`. The base `Runnable.stream` calls
langchain-core's `ensureConfig`, which replaces the ambient
`configurable`
wholesale whenever the caller passes its own. Because `createAgent`
always
supplies a `configurable`, every tool-invoked sub-agent lost those keys,
ran
as a fresh root run, and had its streamed events flattened to the root
    namespace instead of nesting under the triggering task.

`Pregel.stream` now merges the ambient `configurable` underneath the
caller's
    (caller keys win per-key) when the ambient marks an active task
(`__pregel_read` present) but the explicit `configurable` is missing it.
Declared subgraph nodes (which already carry their own `__pregel_read`)
and
    top-level runs are unaffected.

- [#2537](https://github.com/langchain-ai/langgraphjs/pull/2537)
[`be09666`](https://github.com/langchain-ai/langgraphjs/commit/be096663f42fe7ea9355d6c0def4854e657866d8)
Thanks [@christian-bromann](https://github.com/christian-bromann)! -
fix(langgraph): dispatch stream messages handler inline

The v3 `messages` handler (`StreamProtocolMessagesHandler`, which powers
`run.messages`) only performs a synchronous `push()` onto the run's
stream, but
its callbacks were dispatched on LangChain's background callback queue
(the
default `awaitHandlers === false`). A model or tool call inside a nested
or
parallel task could therefore flush its `messages` chunk _after_ the
Pregel
loop returned and sealed the stream, where
`IterableReadableWritableStream.push`
silently drops chunks once closed. This surfaced as empty per-message
streams
(`sub.messages`) for subagents dispatched in parallel from a single
tools step.

The handler now sets `awaitHandlers = true` so its callbacks run inline
— every
push happens during the originating model/chain call while the stream is
still
open. This avoids the global over-wait, fake-timer deadlock, and
error-path
unhandled rejections that a blanket `awaitAllCallbacks()` drain before
close
    would have introduced.

- [#2531](https://github.com/langchain-ai/langgraphjs/pull/2531)
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b)
Thanks [@christian-bromann](https://github.com/christian-bromann)! -
fix(langgraph): forward task metadata and name subagents via
lc_agent_name

`mapDebugTasks` now forwards filtered user-meaningful task config
metadata
(including `lc_agent_name`) onto `tasks` stream payloads. The lifecycle
    transformer uses that metadata to set subagent `graph_name` from
`lc_agent_name` and recover `cause: { type: "toolCall", tool_call_id }`
from parent tool-dispatch tasks. Adds the shared
`EXCLUDED_METADATA_KEYS`
    constant to `@langchain/langgraph-checkpoint`. Ports langgraph#7928.

- [#2549](https://github.com/langchain-ai/langgraphjs/pull/2549)
[`bc667a9`](https://github.com/langchain-ai/langgraphjs/commit/bc667a998ae9909d15795387dad45048e8947219)
Thanks [@christian-bromann](https://github.com/christian-bromann)! -
fix(langgraph): support DeltaChannel fields in StateSchema

Add a `DeltaValue` state field (and a `MessagesDeltaValue` prebuilt) so
a
`DeltaChannel` can be declared via `StateSchema`, not just
`Annotation.Root` or
a raw channel map. `StateSchema` now maps `DeltaValue` to a
`DeltaChannel`
(forwarding `snapshotFrequency` and the value-schema default) and
validates its
    inputs/`Overwrite` updates like `ReducedValue`.

- Updated dependencies
\[[`4487214`](https://github.com/langchain-ai/langgraphjs/commit/448721449f0801009ba76b03dd2e9c16f900bbba),
[`2134c8a`](https://github.com/langchain-ai/langgraphjs/commit/2134c8a2c0bc8dd2ebea33e1191c8dd0c4b83236),
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b)]:
    -   @langchain/langgraph-checkpoint@1.1.2
    -   @langchain/langgraph-sdk@1.9.23

## @langchain/langgraph-sdk@1.9.23

### Patch Changes

- [#2545](https://github.com/langchain-ai/langgraphjs/pull/2545)
[`2134c8a`](https://github.com/langchain-ai/langgraphjs/commit/2134c8a2c0bc8dd2ebea33e1191c8dd0c4b83236)
Thanks [@christian-bromann](https://github.com/christian-bromann)! -
fix(sdk): avoid scoped stream resubscribe churn

Defer final projection disposal by one microtask so framework bindings
that release and immediately reacquire the same scoped projection during
reactive updates keep the existing stream subscription instead of
rotating through root-only and scoped SSE filters.

## @langchain/angular@1.0.24

### Patch Changes

- Updated dependencies
\[[`2134c8a`](https://github.com/langchain-ai/langgraphjs/commit/2134c8a2c0bc8dd2ebea33e1191c8dd0c4b83236)]:
    -   @langchain/langgraph-sdk@1.9.23

## @langchain/react@1.0.24

### Patch Changes

- Updated dependencies
\[[`2134c8a`](https://github.com/langchain-ai/langgraphjs/commit/2134c8a2c0bc8dd2ebea33e1191c8dd0c4b83236)]:
    -   @langchain/langgraph-sdk@1.9.23

## @langchain/svelte@1.0.24

### Patch Changes

- Updated dependencies
\[[`2134c8a`](https://github.com/langchain-ai/langgraphjs/commit/2134c8a2c0bc8dd2ebea33e1191c8dd0c4b83236)]:
    -   @langchain/langgraph-sdk@1.9.23

## @langchain/vue@1.0.24

### Patch Changes

- Updated dependencies
\[[`2134c8a`](https://github.com/langchain-ai/langgraphjs/commit/2134c8a2c0bc8dd2ebea33e1191c8dd0c4b83236)]:
    -   @langchain/langgraph-sdk@1.9.23

## @example/ai-elements@0.1.39

### Patch Changes

- Updated dependencies
\[[`4487214`](https://github.com/langchain-ai/langgraphjs/commit/448721449f0801009ba76b03dd2e9c16f900bbba),
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b),
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b),
[`be09666`](https://github.com/langchain-ai/langgraphjs/commit/be096663f42fe7ea9355d6c0def4854e657866d8),
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b),
[`bc667a9`](https://github.com/langchain-ai/langgraphjs/commit/bc667a998ae9909d15795387dad45048e8947219)]:
    -   @langchain/langgraph@1.4.3
    -   @langchain/react@1.0.24

## @examples/assistant-ui-claude@0.1.39

### Patch Changes

- Updated dependencies
\[[`4487214`](https://github.com/langchain-ai/langgraphjs/commit/448721449f0801009ba76b03dd2e9c16f900bbba),
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b),
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b),
[`be09666`](https://github.com/langchain-ai/langgraphjs/commit/be096663f42fe7ea9355d6c0def4854e657866d8),
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b),
[`bc667a9`](https://github.com/langchain-ai/langgraphjs/commit/bc667a998ae9909d15795387dad45048e8947219)]:
    -   @langchain/langgraph@1.4.3
    -   @langchain/react@1.0.24

## @examples/ui-angular@0.0.49

### Patch Changes

- Updated dependencies
\[[`4487214`](https://github.com/langchain-ai/langgraphjs/commit/448721449f0801009ba76b03dd2e9c16f900bbba),
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b),
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b),
[`2134c8a`](https://github.com/langchain-ai/langgraphjs/commit/2134c8a2c0bc8dd2ebea33e1191c8dd0c4b83236),
[`be09666`](https://github.com/langchain-ai/langgraphjs/commit/be096663f42fe7ea9355d6c0def4854e657866d8),
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b),
[`bc667a9`](https://github.com/langchain-ai/langgraphjs/commit/bc667a998ae9909d15795387dad45048e8947219)]:
    -   @langchain/langgraph@1.4.3
    -   @langchain/langgraph-sdk@1.9.23
    -   @langchain/angular@1.0.24

## @examples/ui-multimodal@0.0.25

### Patch Changes

- Updated dependencies
\[[`4487214`](https://github.com/langchain-ai/langgraphjs/commit/448721449f0801009ba76b03dd2e9c16f900bbba),
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b),
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b),
[`be09666`](https://github.com/langchain-ai/langgraphjs/commit/be096663f42fe7ea9355d6c0def4854e657866d8),
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b),
[`bc667a9`](https://github.com/langchain-ai/langgraphjs/commit/bc667a998ae9909d15795387dad45048e8947219)]:
    -   @langchain/langgraph@1.4.3
    -   @langchain/react@1.0.24

## @examples/ui-react@0.0.25

### Patch Changes

- Updated dependencies
\[[`4487214`](https://github.com/langchain-ai/langgraphjs/commit/448721449f0801009ba76b03dd2e9c16f900bbba),
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b),
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b),
[`2134c8a`](https://github.com/langchain-ai/langgraphjs/commit/2134c8a2c0bc8dd2ebea33e1191c8dd0c4b83236),
[`be09666`](https://github.com/langchain-ai/langgraphjs/commit/be096663f42fe7ea9355d6c0def4854e657866d8),
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b),
[`bc667a9`](https://github.com/langchain-ai/langgraphjs/commit/bc667a998ae9909d15795387dad45048e8947219)]:
    -   @langchain/langgraph@1.4.3
    -   @langchain/langgraph-sdk@1.9.23
    -   @langchain/react@1.0.24

## langgraph@1.0.43

### Patch Changes

- Updated dependencies
\[[`4487214`](https://github.com/langchain-ai/langgraphjs/commit/448721449f0801009ba76b03dd2e9c16f900bbba),
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b),
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b),
[`be09666`](https://github.com/langchain-ai/langgraphjs/commit/be096663f42fe7ea9355d6c0def4854e657866d8),
[`38cfe01`](https://github.com/langchain-ai/langgraphjs/commit/38cfe01ff02490ff6bcc86c66708ef671f2e0d4b),
[`bc667a9`](https://github.com/langchain-ai/langgraphjs/commit/bc667a998ae9909d15795387dad45048e8947219)]:
    -   @langchain/langgraph@1.4.3

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2026-06-17 15:34:21 -07:00
..
2026-06-17 15:34:21 -07:00
2025-07-02 21:26:14 +02:00
2026-06-17 15:34:21 -07:00
2025-07-02 21:26:14 +02:00

@langchain/langgraph-sdk

The JavaScript / TypeScript SDK for talking to a LangGraph API server. Use it to create and manage assistants, threads, runs, cron schedules, and the KV store — and, most importantly, to stream graph executions in real time.

📚 Full documentation

Install

pnpm add @langchain/langgraph-sdk @langchain/core
# or: npm install @langchain/langgraph-sdk @langchain/core
# or: yarn add @langchain/langgraph-sdk @langchain/core

Quick start

import { Client } from "@langchain/langgraph-sdk";

const client = new Client({ apiUrl: "http://localhost:2024" });

// Open a thread-centric stream (the recommended way to stream).
const thread = client.threads.stream({ assistantId: "my-agent" });

await thread.run.start({
  input: { messages: [{ role: "user", content: "hello" }] },
});

for await (const message of thread.messages) {
  for await (const token of message.text) {
    process.stdout.write(token);
  }
}

console.log(await thread.output);
await thread.close();

With no apiUrl, the SDK points at http://localhost:2024 (the default langgraph dev URL).

What's in the SDK

Sub-client Purpose Docs
client.threads Create threads, manage state, and stream runs. Threads · Streaming
client.assistants CRUD for assistants (schemas, graphs, versions). Assistants
client.runs Trigger / join / cancel runs without streaming. Runs (legacy)
client.crons Schedule recurring runs. Crons
client.store Namespaced KV + semantic store. Store

Streaming

client.threads.stream(...) returns a ThreadStream with typed, lazy projections for every aspect of a run:

  • thread.messages / thread.toolCalls — assembled chat output.
  • thread.values / thread.output — graph state and final answer.
  • thread.interrupts / thread.interrupted — human-in-the-loop.
  • thread.subgraphs / thread.subagents — nested / deep-agent work.
  • thread.extensions.<name> — typed custom server projections.
  • thread.audio / thread.images / thread.video / thread.files — media.

Deprecated. The generator-based streaming APIs on client.runs.* (stream, joinStream) and client.threads.joinStream are preserved for backwards compatibility only. New code should use client.threads.stream(...). See Runs (legacy) for migration guidance.

Transports

Streaming defaults to Server-Sent Events (SSE) over HTTP. You can switch to WebSocket per-call or globally, or plug in a custom AgentServerAdapter:

const thread = client.threads.stream({
  assistantId: "my-agent",
  transport: "websocket",
});

See Transports for full details.

Framework adapters

If you're building a UI, use the framework-specific packages that wrap this SDK:

Use the SDK directly when you need low-level control, run it from a non-browser environment (Node.js server, edge workers, scripts), or integrate into a framework that does not yet have a first-party adapter.

Architecture

The client code is organized into sub-client modules under src/client/:

Path Module
client/assistants/ AssistantsClient
client/threads/ ThreadsClient (includes the v2 stream(...) primitive)
client/runs/ RunsClient (legacy streaming + CRUD)
client/crons/ CronsClient
client/store/ StoreClient
client/stream/ ThreadStream, assemblers, transports
client/base.ts BaseClient, shared config & helpers
client/index.ts Main Client class & re-exports

Change log

See CHANGELOG.md.