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langgraphjs/libs/sdk-angular
github-actions[bot] 1f11df2668 chore: version packages (#2364)
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# Releases
## @langchain/angular@1.0.0

### Major Changes

- [#2314](https://github.com/langchain-ai/langgraphjs/pull/2314)
[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb)
Thanks [@christian-bromann](https://github.com/christian-bromann)! - Add
the Angular event streaming integration.

Angular applications can now build on the shared event streaming runtime
with
    `useStream`, `injectStream`, `StreamService`, `provideStream`,
`provideStreamDefaults`, `injectProjection`, and selector helpers for
messages,
values, tool calls, custom channels, extensions, media, message
metadata, and
submission queues. The integration supports thread switching, run
submission,
reattachment, interrupts, WebSocket and SSE/custom transports, headless
tools,
    subgraphs, subagents, and typed event projections.

    This release also adds Angular-specific media helpers, including
`injectMediaUrl` and selectors for audio, images, video, and files. The
package
now exports the shared stream, media, transport, headless-tool, and type
    inference types needed to compose strongly typed streaming UIs.

The documentation has been refreshed with guides for dependency
injection,
`injectStream`, selectors, transports, custom transports, interrupts,
submission queues, headless tools, subagents/subgraphs, type safety,
testing,
    and migration from the previous SDK surface.

### Patch Changes

- Updated dependencies
\[[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb),
[`d1e2fda`](https://github.com/langchain-ai/langgraphjs/commit/d1e2fda1b1165e122362780a62ab8d2ebff9f9b9)]:
    -   @langchain/langgraph-sdk@1.9.0

## @langchain/react@1.0.0

### Major Changes

- [#2314](https://github.com/langchain-ai/langgraphjs/pull/2314)
[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb)
Thanks [@christian-bromann](https://github.com/christian-bromann)! - Add
the React event streaming integration.

React applications can now use the shared event streaming runtime
through
`useStream`, `useProjection`, `useSuspenseStream`, `StreamProvider`, and
focused selector hooks for messages, values, tool calls, custom
channels,
extensions, media, message metadata, and submission queues. The new
integration
    supports thread-scoped runs, reattachment, interrupts, WebSocket and
SSE/custom transports, headless tools, subgraphs, subagents, typed
stream
    extensions, and strongly typed state/tool-call inference.

This release also adds media helpers for streaming UI experiences,
including
`useMediaURL`, `useAudioPlayer`, and `useVideoPlayer`, plus selectors
for
audio, images, video, and files. Shared transport, media, protocol
event,
message metadata, and discovery types are exported from the package so
React
components can compose richer streaming interfaces without deep imports.

    The package documentation and tests have been expanded around custom
transports, selectors, interrupts, multimodal streaming, suspense,
submission
queues, headless tools, subagents, type safety, and migration from the
previous
    streaming API.

### Patch Changes

- Updated dependencies
\[[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb),
[`d1e2fda`](https://github.com/langchain-ai/langgraphjs/commit/d1e2fda1b1165e122362780a62ab8d2ebff9f9b9)]:
    -   @langchain/langgraph-sdk@1.9.0

## @langchain/svelte@1.0.0

### Major Changes

- [#2314](https://github.com/langchain-ai/langgraphjs/pull/2314)
[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb)
Thanks [@christian-bromann](https://github.com/christian-bromann)! - Add
the Svelte event streaming integration.

Svelte applications can now use the shared event streaming runtime
through
`useStream`, `useProjection`, context helpers, and selector runes for
messages,
values, tool calls, custom channels, extensions, media, message
metadata, and
submission queues. The integration supports thread-scoped runs,
reattachment,
interrupts, WebSocket and SSE/custom transports, headless tools,
subgraphs,
subagents, typed stream extensions, and strongly typed state/tool-call
    inference.

This release also adds Svelte media helpers, including `useMediaURL`,
`useAudioPlayer`, and `useVideoPlayer`, plus selectors for audio,
images,
video, and files. Shared transport, media, protocol event, message
metadata,
and discovery types are exported from the package so Svelte components
can
    compose streaming interfaces without deep imports.

The package now includes focused documentation and tests for context,
custom
    transports, selectors, interrupts, hydration, submission queues,
subscriptions, headless tools, subagents, type safety, and migration
from the
    previous streaming API.

### Patch Changes

- Updated dependencies
\[[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb),
[`d1e2fda`](https://github.com/langchain-ai/langgraphjs/commit/d1e2fda1b1165e122362780a62ab8d2ebff9f9b9)]:
    -   @langchain/langgraph-sdk@1.9.0

## @langchain/vue@1.0.0

### Major Changes

- [#2314](https://github.com/langchain-ai/langgraphjs/pull/2314)
[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb)
Thanks [@christian-bromann](https://github.com/christian-bromann)! - Add
the Vue event streaming integration.

Vue applications can now use the shared event streaming runtime through
`useStream`, `useProjection`, `provideStream`, `useStreamContext`, and
selector composables for messages, values, tool calls, custom channels,
extensions, media, message metadata, and submission queues. The
integration
    supports thread-scoped runs, reattachment, interrupts, WebSocket and
SSE/custom transports, headless tools, subgraphs, subagents, typed
stream
    extensions, and strongly typed state/tool-call inference.

    This release also adds Vue media helpers, including `useMediaURL`,
`useAudioPlayer`, and `useVideoPlayer`, plus selectors for audio,
images,
video, and files. Shared transport, media, protocol event, message
metadata,
and discovery types are exported from the package so Vue components can
build
    rich streaming UIs without deep imports.

The package documentation and tests now cover API usage, custom
transports,
forking, interrupts, multimodal streaming, selectors, shared streams,
subagents, suspense, submission queues, transports, type safety, and
migration
    from the previous streaming API.

### Patch Changes

- Updated dependencies
\[[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb),
[`d1e2fda`](https://github.com/langchain-ai/langgraphjs/commit/d1e2fda1b1165e122362780a62ab8d2ebff9f9b9)]:
    -   @langchain/langgraph-sdk@1.9.0

## @langchain/langgraph-api@1.2.0

### Minor Changes

- [#2314](https://github.com/langchain-ai/langgraphjs/pull/2314)
[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb)
Thanks [@christian-bromann](https://github.com/christian-bromann)! - Add
the thread-scoped event streaming protocol used by the new SDK streaming
    clients.

This release adds protocol routes for WebSocket and SSE/HTTP streaming,
including thread-local command handling, filtered subscriptions, event
replay,
state inspection, checkpoint listing/forking, interrupt input, agent
tree
queries, and run start/resume commands. Stream events are normalized
into the
canonical protocol shape with ordered sequence IDs so clients can safely
dedupe, resume subscriptions, and coordinate multiple projections from
the same
    run.

The experimental embed server now supports the same protocol flow, so
embedded
graphs can serve the new SDK transports without standing up a separate
LangGraph API deployment. The server also gains protocol session tests
and
fixture graphs covering deep agents, interrupts, subgraphs, and SDK
transport
    behavior.

### Patch Changes

-   Updated dependencies \[]:
    -   @langchain/langgraph-ui@1.2.0

## @langchain/langgraph@1.3.0

### Minor Changes

- [#2314](https://github.com/langchain-ai/langgraphjs/pull/2314)
[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb)
Thanks [@christian-bromann](https://github.com/christian-bromann)! - Add
the in-process event streaming runtime behind `streamEvents`.

LangGraph now exposes the core primitives for event-based streaming,
including
`StreamChannel`, `StreamMux`, `GraphRunStream`, `SubgraphRunStream`,
native
stream transformers, and protocol event conversion utilities. These APIs
let
graphs emit ordered protocol events, derive additional projections,
expose
custom stream channels, and bridge in-process runs to remote SDK
clients.

The runtime includes built-in transformers for messages, values,
lifecycle
    events, and subgraph discovery. It also adds support for transformer
registration during graph execution, forwarding remote `StreamChannel`
output,
subgraph-aware event routing, event log multiplexing, and
checkpoint-aware
    values streams.

This release also expands test coverage across Pregel streaming, event
    conversion, stream muxing, stream channels, run streams, lifecycle
transformers, subgraph transformers, and type-level streaming behavior.

### Patch Changes

- Updated dependencies
\[[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb),
[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb),
[`d1e2fda`](https://github.com/langchain-ai/langgraphjs/commit/d1e2fda1b1165e122362780a62ab8d2ebff9f9b9)]:
    -   @langchain/langgraph-checkpoint@1.0.2
    -   @langchain/langgraph-sdk@1.9.0

## @langchain/langgraph-sdk@1.9.0

### Minor Changes

- [#2314](https://github.com/langchain-ai/langgraphjs/pull/2314)
[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb)
Thanks [@christian-bromann](https://github.com/christian-bromann)! - Add
the framework-agnostic event streaming SDK.

    The SDK now includes a thread-focused streaming client built around
`ThreadStream`, `SubscriptionHandle`, message assembly, media assembly,
typed
stream extensions, and pluggable protocol transports. Applications can
stream
over SSE or WebSocket, provide custom agent-server adapters, subscribe
to
values/messages/tools/custom/lifecycle/checkpoint channels, inspect and
fork
state, respond to interrupts, and replay or dedupe ordered event
streams.

This release also adds the reusable stream runtime used by the React,
Vue,
    Svelte, and Angular packages: `StreamController`, `StreamStore`,
`ChannelRegistry`, projection factories, subagent/subgraph discovery,
submission queue coordination, message metadata tracking, root message
projection, media projections, and helper types for agent/deep-agent
state and
    tool-call inference.

The client package has been reorganized into focused modules for
assistants,
threads, runs, store, protocol streaming, transports, media, messages,
and UI
helpers. New SDK documentation covers configuration, assistants,
threads, runs,
store, streaming, transports, extensions, interrupts, messages, media,
    subagents, and subgraphs.

### Patch Changes

- [#2363](https://github.com/langchain-ai/langgraphjs/pull/2363)
[`d1e2fda`](https://github.com/langchain-ai/langgraphjs/commit/d1e2fda1b1165e122362780a62ab8d2ebff9f9b9)
Thanks [@cwlbraa](https://github.com/cwlbraa)! - Add a `returnMinimal`
option to `threads.update`.

## @langchain/langgraph-checkpoint@1.0.2

### Patch Changes

- [#2314](https://github.com/langchain-ai/langgraphjs/pull/2314)
[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb)
Thanks [@christian-bromann](https://github.com/christian-bromann)! -
Improve `MemorySaver` diagnostics when checkpoint writes are missing a
      `thread_id`.

The in-memory checkpointer now explains why `configurable.thread_id` is
required and includes a concrete `graph.stream(..., { configurable: {
    thread_id } })` example in the error message. This makes the new
thread-oriented event streaming flows easier to debug when an
application
      forgets to provide durable thread configuration.

## @langchain/langgraph-cli@1.2.0

### Patch Changes

- Updated dependencies
\[[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb)]:
    -   @langchain/langgraph-api@1.2.0

## @langchain/langgraph-ui@1.2.0



## @example/ai-elements@0.1.15

### Patch Changes

- Updated dependencies
\[[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb),
[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb)]:
    -   @langchain/langgraph@1.3.0
    -   @langchain/react@1.0.0

## @examples/assistant-ui-claude@0.1.15

### Patch Changes

- Updated dependencies
\[[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb),
[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb)]:
    -   @langchain/langgraph@1.3.0
    -   @langchain/react@1.0.0

## @examples/ui-angular@0.0.25

### Patch Changes

- Updated dependencies
\[[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb),
[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb),
[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb),
[`d1e2fda`](https://github.com/langchain-ai/langgraphjs/commit/d1e2fda1b1165e122362780a62ab8d2ebff9f9b9)]:
    -   @langchain/langgraph@1.3.0
    -   @langchain/langgraph-sdk@1.9.0
    -   @langchain/angular@1.0.0

## @examples/ui-multimodal@0.0.1

### Patch Changes

- Updated dependencies
\[[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb),
[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb)]:
    -   @langchain/langgraph@1.3.0
    -   @langchain/react@1.0.0

## @examples/ui-react@0.0.1

### Patch Changes

- Updated dependencies
\[[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb),
[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb),
[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb),
[`d1e2fda`](https://github.com/langchain-ai/langgraphjs/commit/d1e2fda1b1165e122362780a62ab8d2ebff9f9b9)]:
    -   @langchain/langgraph@1.3.0
    -   @langchain/langgraph-sdk@1.9.0
    -   @langchain/react@1.0.0

## langgraph@1.0.32

### Patch Changes

- Updated dependencies
\[[`085a07f`](https://github.com/langchain-ai/langgraphjs/commit/085a07f569b6d7d79728eb7eb6eb3a0c67fcdefb)]:
    -   @langchain/langgraph@1.3.0

---------

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Hunter Lovell <hunter@hntrl.io>
2026-05-05 00:41:45 -07:00
..
2026-05-05 00:41:45 -07:00
2026-05-05 00:41:45 -07:00

@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? See docs/v1-migration.md for 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 an AgentServerAdapter.
  • Ref-counted selectors. injectMessages, injectValues, injectToolCalls, media selectors, submission queue — the first consumer opens a subscription, the last one's DestroyRef closes 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 legacy branch / fetchStateHistory trio.
  • DI-native. provideStream for subtree sharing, provideStreamDefaults for app-wide config, StreamService for class-based wrappers.
  • Typed end-to-end. Pass typeof agent as 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/:

Playground

For complete end-to-end examples, visit the LangChain UI Playground.

License

MIT