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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@1.4.4 ### Patch Changes - [#2552](https://github.com/langchain-ai/langgraphjs/pull/2552) [`d662cbb`](https://github.com/langchain-ai/langgraphjs/commit/d662cbbc63eebdf1312e57d41908da1b9018e783) Thanks [@christian-bromann](https://github.com/christian-bromann)! - fix(langgraph): isolate concurrent singleton-agent invocations by thread `ensureLangGraphConfig` ignores the ambient `AsyncLocalStorage` `configurable` on root-level invokes that supply an invoke-time `thread_id` and have no nesting keys (ignoring graph-bound `.withConfig()` defaults). On a fresh top-level run the ambient `configurable` can belong to another concurrent invocation, so its keys — internal scratchpad/task-input as well as user keys like `tenant_id`/`user_id` — must not leak in; values the caller wants arrive through the explicit (bound + invoke-time) configs. Ambient nesting (`__pregel_read__`) and bound child graphs invoked from parent tasks are unaffected. This prevents cross-invocation leakage between concurrent `invoke()` calls on a shared compiled graph (e.g. BullMQ workers with `concurrency > 1`). Complements the config-merge fix that stopped shared graph-bound `metadata`/`configurable` objects from being mutated across invocations ([#2040](https://github.com/langchain-ai/langgraphjs/issues/2040)). - [#2553](https://github.com/langchain-ai/langgraphjs/pull/2553) [`1c2aa5b`](https://github.com/langchain-ai/langgraphjs/commit/1c2aa5bfeacd8b7463e3d5b6010daee26e9217e0) Thanks [@christian-bromann](https://github.com/christian-bromann)! - fix(langgraph): recognize JSON-erased `Overwrite` values across runtimes `Overwrite` already survives JSON serialization in JS because `Overwrite.toJSON()` emits the canonical `{ "__overwrite__": value }` sentinel. `_getOverwriteValue` now additionally recognizes the discriminator form `{ "type": "__overwrite__", value }` produced when a typed `Overwrite` from another runtime (e.g. a Python dataclass routed through the LangGraph API server) is serialized and its type is erased. This keeps `Overwrite` (and `DeltaChannel`) semantics intact across cross-runtime JSON boundaries. These delta-channel APIs remain Beta. ## @example/ai-elements@0.1.40 ### Patch Changes - Updated dependencies \[[`d662cbb`](https://github.com/langchain-ai/langgraphjs/commit/d662cbbc63eebdf1312e57d41908da1b9018e783), [`1c2aa5b`](https://github.com/langchain-ai/langgraphjs/commit/1c2aa5bfeacd8b7463e3d5b6010daee26e9217e0)]: - @langchain/langgraph@1.4.4 ## @examples/assistant-ui-claude@0.1.40 ### Patch Changes - Updated dependencies \[[`d662cbb`](https://github.com/langchain-ai/langgraphjs/commit/d662cbbc63eebdf1312e57d41908da1b9018e783), [`1c2aa5b`](https://github.com/langchain-ai/langgraphjs/commit/1c2aa5bfeacd8b7463e3d5b6010daee26e9217e0)]: - @langchain/langgraph@1.4.4 ## @examples/ui-angular@0.0.50 ### Patch Changes - Updated dependencies \[[`d662cbb`](https://github.com/langchain-ai/langgraphjs/commit/d662cbbc63eebdf1312e57d41908da1b9018e783), [`1c2aa5b`](https://github.com/langchain-ai/langgraphjs/commit/1c2aa5bfeacd8b7463e3d5b6010daee26e9217e0)]: - @langchain/langgraph@1.4.4 ## @examples/ui-multimodal@0.0.26 ### Patch Changes - Updated dependencies \[[`d662cbb`](https://github.com/langchain-ai/langgraphjs/commit/d662cbbc63eebdf1312e57d41908da1b9018e783), [`1c2aa5b`](https://github.com/langchain-ai/langgraphjs/commit/1c2aa5bfeacd8b7463e3d5b6010daee26e9217e0)]: - @langchain/langgraph@1.4.4 ## @examples/ui-react@0.0.26 ### Patch Changes - Updated dependencies \[[`d662cbb`](https://github.com/langchain-ai/langgraphjs/commit/d662cbbc63eebdf1312e57d41908da1b9018e783), [`1c2aa5b`](https://github.com/langchain-ai/langgraphjs/commit/1c2aa5bfeacd8b7463e3d5b6010daee26e9217e0)]: - @langchain/langgraph@1.4.4 ## langgraph@1.0.44 ### Patch Changes - Updated dependencies \[[`d662cbb`](https://github.com/langchain-ai/langgraphjs/commit/d662cbbc63eebdf1312e57d41908da1b9018e783), [`1c2aa5b`](https://github.com/langchain-ai/langgraphjs/commit/1c2aa5bfeacd8b7463e3d5b6010daee26e9217e0)]: - @langchain/langgraph@1.4.4 Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
AI Elements — Tool-Calling Agent Example
A self-contained chat interface built with AI Elements components and @langchain/react. It demonstrates how to build a production-quality agentic UI using AI Elements' composable component library.
What it shows
- Tool call rendering — each tool invocation is displayed with
Tool+ToolHeader+ToolContent+ToolInput+ToolOutput, updating live as the agent streams tool input and then the result. - Reasoning display — when the model emits reasoning tokens, a collapsible
Reasoningblock auto-opens during streaming and collapses when done. - Streaming messages —
Message+MessageContent+MessageResponserenders streaming markdown via Streamdown with full GFM support. - Loading skeleton — a
Shimmerplaceholder appears between the user's message and the first assistant token. - Conversation scroll —
Conversation+ConversationContent+ConversationScrollButtonauto-scrolls and shows a jump-to-bottom button when you scroll up. - Message actions —
MessageActions+MessageActionwith a copy button appears below the last assistant message once streaming completes. - Prompt input —
PromptInput+PromptInputBody+PromptInputTextarea+PromptInputFooter+PromptInputSubmitprovides a full-featured input bar. - Suggestions —
Suggestions+Suggestionshows preset prompts before the first message.
Agent
The backing LangGraph agent (packages/agents/src/agents/ai-elements.ts) is a createReactAgent with two simulated tools:
| Tool | Description |
|---|---|
get_weather |
Returns deterministic simulated weather data for any city |
web_search |
Returns three simulated search result objects for any query |
No external API keys are required for the tools.
Setup
Create a .env file in this folder (optional — defaults are provided):
VITE_LANGGRAPH_API_URL=http://localhost:2024 # default when running locally
VITE_LANGGRAPH_ASSISTANT_ID=ai_elements # matches langgraph.json
Run
Start the LangGraph agent server first:
bun run dev --filter=@langchain/playground-agents
Then start this preview app:
bun run dev --filter=@langchain/playground-preview-ai-elements
Open http://localhost:4600.
AI Elements components used
| Component | Source file |
|---|---|
Conversation, ConversationContent, ConversationScrollButton |
src/components/ai-elements/conversation.tsx |
Message, MessageContent, MessageResponse, MessageActions, MessageAction |
src/components/ai-elements/message.tsx |
PromptInput, PromptInputBody, PromptInputTextarea, PromptInputFooter, PromptInputSubmit |
src/components/ai-elements/prompt-input.tsx |
Tool, ToolHeader, ToolContent, ToolInput, ToolOutput |
src/components/ai-elements/tool.tsx |
Reasoning, ReasoningTrigger, ReasoningContent |
src/components/ai-elements/reasoning.tsx |
Suggestions, Suggestion |
src/components/ai-elements/suggestion.tsx |
Shimmer |
src/components/ai-elements/shimmer.tsx |
Components live in src/components/ai-elements/ and are owned by this package (shadcn/AI Elements registry style — copy-paste, not a node_modules import).
Vite path alias
AI Elements components use bare src/ imports (e.g. import { cn } from "src/lib/utils"). The vite.config.ts maps src → ./src to resolve these correctly in both dev and production builds.