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-validation@1.1.0 ### Minor Changes - [#2503](https://github.com/langchain-ai/langgraphjs/pull/2503) [`6e850fb`](https://github.com/langchain-ai/langgraphjs/commit/6e850fbabc842bb495352fbd6ef424c67ab0948f) Thanks [@jkennedyvz](https://github.com/jkennedyvz)! - fix(langgraph-checkpoint-validation): align node engine with vitest ## @langchain/langgraph-api@1.3.0 ### Minor Changes - [#2505](https://github.com/langchain-ai/langgraphjs/pull/2505) [`cad31b4`](https://github.com/langchain-ai/langgraphjs/commit/cad31b42f001a87fcdf57c4c084c655c8762b6a5) Thanks [@christian-bromann](https://github.com/christian-bromann)! - Consolidate the protocol session's channel inference, channel-set validation, and namespace prefix matching onto the shared `@langchain/langgraph/stream` helpers instead of maintaining local copies. This removes duplicated logic across `session/index.mts`, `session/namespace.mts`, `session/internal-types.mts`, and `service.mts`. This also aligns SSE event-sink filtering (`matchesSinkFilter`) with the WebSocket subscription matcher: both now normalize dynamic namespace suffixes (e.g. a `["fetcher"]` namespace filter matches an event emitted under `["fetcher:<uuid>"]`). Previously the SSE path used a stricter exact-segment match. Because the session now imports `@langchain/langgraph/stream`, the `@langchain/langgraph` peer dependency floor is raised to `^1.3.6` (the first release that ships the `/stream` entrypoint). ### Patch Changes - Updated dependencies \[]: - @langchain/langgraph-ui@1.3.0 ## @langchain/langgraph-checkpoint-sqlite@1.0.2 ### Patch Changes - [#2504](https://github.com/langchain-ai/langgraphjs/pull/2504) [`e8a0940`](https://github.com/langchain-ai/langgraphjs/commit/e8a09409ac4a997012e78081160c91188ebe39fc) Thanks [@jackjin1997](https://github.com/jackjin1997)! - fix: `SqliteSaver.list({}, { filter })` now honors arbitrary metadata keys (e.g. `tenant_id`, `env`), matching the behavior of the MongoDB, Postgres, and Redis checkpointers. Previously only `source`, `step`, and `parents` were honored — any other key was silently dropped, returning unfiltered results. ## @langchain/langgraph-cli@1.3.0 ### Patch Changes - Updated dependencies \[[`cad31b4`](https://github.com/langchain-ai/langgraphjs/commit/cad31b42f001a87fcdf57c4c084c655c8762b6a5)]: - @langchain/langgraph-api@1.3.0 ## @langchain/langgraph@1.3.7 ### Patch Changes - [#2505](https://github.com/langchain-ai/langgraphjs/pull/2505) [`cad31b4`](https://github.com/langchain-ai/langgraphjs/commit/cad31b42f001a87fcdf57c4c084c655c8762b6a5) Thanks [@christian-bromann](https://github.com/christian-bromann)! - Add the `@langchain/langgraph/stream` entrypoint — a transport-agnostic backend toolkit for building custom servers on top of the v2 streaming protocol. Alongside the existing `StreamChannel` and `convertToProtocolEvent`, it exposes subscription primitives, typed against a minimal `MatchableEvent` shape so they work on both the core `ProtocolEvent` and the wire-level `Event` from `@langchain/protocol`: - `inferChannel(event)` — map an event to its subscription `Channel` (named `custom:<name>` channels included). - `matchesSubscription(event, definition)` — decide whether a buffered event should be delivered for a `SubscribeParams` filter, honoring channel, namespace prefix/depth, and an optional `since` replay cursor. - `isPrefixMatch(namespace, prefix)` / `normalizeNamespaceSegment(segment)` — namespace prefix matching with dynamic-suffix normalization (e.g. `fetcher:<uuid>` matches the `fetcher` prefix). - `SUPPORTED_CHANNELS` / `isSupportedChannel(value)` — the recognized channel set and a guard for validating subscription requests. - Updated dependencies \[[`cad31b4`](https://github.com/langchain-ai/langgraphjs/commit/cad31b42f001a87fcdf57c4c084c655c8762b6a5)]: - @langchain/langgraph-sdk@1.9.19 ## @langchain/langgraph-sdk@1.9.19 ### Patch Changes - [#2505](https://github.com/langchain-ai/langgraphjs/pull/2505) [`cad31b4`](https://github.com/langchain-ai/langgraphjs/commit/cad31b42f001a87fcdf57c4c084c655c8762b6a5) Thanks [@christian-bromann](https://github.com/christian-bromann)! - Deduplicate the client stream transports: the protocol transport now shares the SSE decoder and `IterableReadableStream` helpers with the legacy transport instead of carrying its own copies. Removes the redundant `transport/decoder.ts` and `transport/stream.ts` shims (and a dead `StreamPart` re-export), importing the shared utilities from `utils/sse.ts` directly. No public API or behavior change. ## @langchain/angular@1.0.19 ### Patch Changes - Updated dependencies \[[`cad31b4`](https://github.com/langchain-ai/langgraphjs/commit/cad31b42f001a87fcdf57c4c084c655c8762b6a5)]: - @langchain/langgraph-sdk@1.9.19 ## @langchain/react@1.0.19 ### Patch Changes - Updated dependencies \[[`cad31b4`](https://github.com/langchain-ai/langgraphjs/commit/cad31b42f001a87fcdf57c4c084c655c8762b6a5)]: - @langchain/langgraph-sdk@1.9.19 ## @langchain/svelte@1.0.19 ### Patch Changes - Updated dependencies \[[`cad31b4`](https://github.com/langchain-ai/langgraphjs/commit/cad31b42f001a87fcdf57c4c084c655c8762b6a5)]: - @langchain/langgraph-sdk@1.9.19 ## @langchain/vue@1.0.19 ### Patch Changes - Updated dependencies \[[`cad31b4`](https://github.com/langchain-ai/langgraphjs/commit/cad31b42f001a87fcdf57c4c084c655c8762b6a5)]: - @langchain/langgraph-sdk@1.9.19 ## @langchain/langgraph-ui@1.3.0 ## @example/ai-elements@0.1.34 ### Patch Changes - Updated dependencies \[[`cad31b4`](https://github.com/langchain-ai/langgraphjs/commit/cad31b42f001a87fcdf57c4c084c655c8762b6a5)]: - @langchain/langgraph@1.3.7 - @langchain/react@1.0.19 ## @examples/assistant-ui-claude@0.1.34 ### Patch Changes - Updated dependencies \[[`cad31b4`](https://github.com/langchain-ai/langgraphjs/commit/cad31b42f001a87fcdf57c4c084c655c8762b6a5)]: - @langchain/langgraph@1.3.7 - @langchain/react@1.0.19 ## @examples/ui-angular@0.0.44 ### Patch Changes - Updated dependencies \[[`cad31b4`](https://github.com/langchain-ai/langgraphjs/commit/cad31b42f001a87fcdf57c4c084c655c8762b6a5), [`cad31b4`](https://github.com/langchain-ai/langgraphjs/commit/cad31b42f001a87fcdf57c4c084c655c8762b6a5)]: - @langchain/langgraph@1.3.7 - @langchain/langgraph-sdk@1.9.19 - @langchain/angular@1.0.19 ## @examples/ui-multimodal@0.0.20 ### Patch Changes - Updated dependencies \[[`cad31b4`](https://github.com/langchain-ai/langgraphjs/commit/cad31b42f001a87fcdf57c4c084c655c8762b6a5)]: - @langchain/langgraph@1.3.7 - @langchain/react@1.0.19 ## @examples/ui-react@0.0.20 ### Patch Changes - Updated dependencies \[[`cad31b4`](https://github.com/langchain-ai/langgraphjs/commit/cad31b42f001a87fcdf57c4c084c655c8762b6a5), [`cad31b4`](https://github.com/langchain-ai/langgraphjs/commit/cad31b42f001a87fcdf57c4c084c655c8762b6a5)]: - @langchain/langgraph@1.3.7 - @langchain/langgraph-sdk@1.9.19 - @langchain/react@1.0.19 ## langgraph@1.0.39 ### Patch Changes - Updated dependencies \[[`cad31b4`](https://github.com/langchain-ai/langgraphjs/commit/cad31b42f001a87fcdf57c4c084c655c8762b6a5)]: - @langchain/langgraph@1.3.7 Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
@langchain/vue
Vue SDK for building AI-powered applications with Deep Agents, LangChain and LangGraph.
The package ships a Composition-API–first binding built on top of
the v2 streaming protocol. useStream returns a small, always-on
root handle (values, messages, isLoading, error, …) and
pushes anything namespaced (subagents, subgraphs, media, submission
queue, per-message metadata) behind ref-counted use* selectors
so components only pay for the data they actually consume.
Upgrading from
0.x? Seedocs/v1-migration.mdfor the complete matrix of option, return-shape, and transport changes.
Highlights
- v2-native streaming protocol. Session-based transport with
automatic re-attach on remount — no
reconnectOnMount/joinStreamdance. - Composition-API first. Everything is a
ShallowRef/ComputedRef, auto-disposed viaonScopeDisposewhen the scope unmounts. - Selector-based subscriptions. Namespaced data (subagents, subgraphs, media) streams only when a component actually mounts the matching selector composable, and releases on unmount.
- Discriminated transports. Hosted Agent Server and custom adapters are two arms of a single typed union — mixing them is a compile-time error.
- Agent-brand type inference.
useStream<typeof agent>()unwraps state, tool calls, and subagent state maps from an agent brand. - Multimodal media streams. Built-in assembly for audio,
images, video, and files, with ready-to-use
<img>/<audio>/<video>players. <Suspense>friendly.hydrationPromiselets you gateasync setup()on initial hydration.
Installation
npm install @langchain/vue @langchain/core
Peer dependencies: vue (^3.4.0), @langchain/core (^1.0.1).
Quick start
<script setup lang="ts">
import { useStream } from "@langchain/vue";
const stream = useStream({
assistantId: "agent",
apiUrl: "http://localhost:2024",
});
function onSubmit() {
void stream.submit({ messages: [{ type: "human", content: "Hello!" }] });
}
</script>
<template>
<div>
<div v-for="(msg, i) in stream.messages" :key="msg.id ?? i">
{{ typeof msg.content === "string" ? msg.content : JSON.stringify(msg.content) }}
</div>
<button :disabled="stream.isLoading" @click="onSubmit">
Send
</button>
</div>
</template>
Reactive fields on the handle are Vue refs (ShallowRef /
ComputedRef). In <script setup>, read them with .value:
stream.messages.value, stream.isLoading.value. In <template>,
Vue auto-unwraps refs, so prefer the shorter
stream.messages / stream.isLoading form.
Documentation
In-depth guides live in docs/:
- API reference —
useStreamoptions and return shape. - Selectors — ref-counted readers for namespaced / scoped data.
- Transports — SSE, WebSocket, and custom
AgentServerAdapterimplementations. - Custom transports — implementing
AgentServerAdapteragainst your own backend, with a worked walkthrough ofexamples/ui-react-transport. - Interrupts & headless tools — pausing a run, responding to interrupts, registering browser-side tools.
- Forking from a message — edit / retry flows
with
useMessageMetadata+submit({ forkFrom }). - Submission queue — inspecting and cancelling enqueued submits.
- Subagents & subgraphs — rendering per-subagent messages, tool calls, and state via scoped selectors.
- Multimodal media — audio / image / video / file streams with built-in players.
- Sharing a stream —
provideStream,useStreamContext, and theLangChainPluginapp-level defaults. - Suspense-style hydration — gating
async setup()onhydrationPromise. - Type safety — brand inference, generics, and the exported helper types.
- Testing — mounting components with mock streams or real dev servers.
- Migrating from 0.x — full diff of options, return shape, and transport classes.
Playground
For complete end-to-end examples with full agentic UIs, visit the LangChain UI Playground.
License
MIT