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/angular
Angular SDK for building AI-powered applications with Deep Agents, LangChain and LangGraph.
The package ships a Signals-first API built on top of the v2 streaming
protocol. injectStream 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 inject* selectors so components
only pay for data they actually consume.
Upgrading from
0.x? Seedocs/v1-migration.mdfor the complete matrix of option, return-shape, and transport changes.
Installation
npm install @langchain/angular @langchain/core
Peer dependencies: @angular/core (^18.0.0 – ^21.0.0),
@langchain/core (^1.1.27).
Quick start
import { Component } from "@angular/core";
import { injectStream } from "@langchain/angular";
@Component({
standalone: true,
template: `
<div>
@for (msg of stream.messages(); track msg.id ?? $index) {
<div>{{ str(msg.content) }}</div>
}
<button
[disabled]="stream.isLoading()"
(click)="onSubmit()"
>
Send
</button>
</div>
`,
})
export class ChatComponent {
readonly stream = injectStream({
assistantId: "agent",
apiUrl: "http://localhost:2024",
});
str(v: unknown) {
return typeof v === "string" ? v : JSON.stringify(v);
}
onSubmit() {
void this.stream.submit({
messages: [{ type: "human", content: "Hello!" }],
});
}
}
injectStream must be called from an Angular injection context —
the host's DestroyRef owns the stream, so navigating away destroys
the controller automatically.
Features at a glance
- Signals everywhere. Messages, values, tool calls, interrupts,
loading/error state — all Angular
Signal<T>s you call as functions in templates. - One call, two transports. Same option bag targets either the
LangGraph Platform (SSE by default,
transport: "websocket"opt-in) or a custom backend through anAgentServerAdapter. - Ref-counted selectors.
injectMessages,injectValues,injectToolCalls, media selectors, submission queue — the first consumer opens a subscription, the last one'sDestroyRefcloses it. Components pay only for what they render. - Human-in-the-loop. Interrupts are first-class signals; resume or fork a specific pending interrupt with one call.
- Headless tools. Register browser-side tool implementations; the runtime dispatches matching interrupts and auto-resumes with the return value.
- Subagent & subgraph discovery. Lightweight snapshots at the root; scoped content (messages, tool calls, state) via the same selectors, targeted at a snapshot or namespace.
- Forking without history preload. Per-message metadata +
submit({ forkFrom })replaces the legacybranch/fetchStateHistorytrio. - DI-native.
provideStreamfor subtree sharing,provideStreamDefaultsfor app-wide config,StreamServicefor class-based wrappers. - Typed end-to-end. Pass
typeof agentas the first generic — state, tool args, and per-subagent state flow through to every selector.
Public stream types
Use StreamApi<T> when you need to name the return type of
injectStream, useStream, provideStream, or StreamService in
Angular code. It is the Angular-facing alias for the Signals-first
handle.
UseStreamResult<T> is also exported as a React-compatible alias for
the same shape. Prefer it only in shared utilities that are designed to
accept stream handles from multiple framework packages.
Documentation
In-depth guides live under docs/:
inject-stream.md— options + return-shape referencetransports.md— SSE, WebSocket, and customAgentServerAdaptercustom-transport.md— implementingAgentServerAdapteragainst your own backend, with a worked walkthrough ofexamples/ui-react-transportselectors.md— scoped reads (injectMessages,injectValues, media, channels, …)interrupts.md— handling and responding to interruptsbranching.md— forking viainjectMessageMetadata+submit({ forkFrom })submission-queue.md—injectSubmissionQueueandmultitaskStrategy: "enqueue"headless-tools.md— browser-side tool implementationssubagents-subgraphs.md— discovery snapshots and scoped contentdependency-injection.md—provideStream,provideStreamDefaults,StreamServicetype-safety.md— generics, agent inference, and public stream aliasestesting.md—STREAM_INSTANCEfakes and service overridesv1-migration.md— migrating from0.x
Playground
For complete end-to-end examples, visit the LangChain UI Playground.
License
MIT