langchain.js
    Preparing search index...

    Module @langchain/langgraph-sdk - v0.1.6

    LangGraph JS/TS SDK

    This repository contains the JS/TS SDK for interacting with the LangGraph REST API.

    To get started with the JS/TS SDK, install the package

    yarn add @langchain/langgraph-sdk
    

    You will need a running LangGraph API server. If you're running a server locally using langgraph-cli, SDK will automatically point at http://localhost:8123, otherwise you would need to specify the server URL when creating a client.

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

    const client = new Client();

    // List all assistants
    const assistants = await client.assistants.search({
    metadata: null,
    offset: 0,
    limit: 10,
    });

    // We auto-create an assistant for each graph you register in config.
    const agent = assistants[0];

    // Start a new thread
    const thread = await client.threads.create();

    // Start a streaming run
    const messages = [{ role: "human", content: "what's the weather in la" }];

    const streamResponse = client.runs.stream(
    thread["thread_id"],
    agent["assistant_id"],
    {
    input: { messages },
    }
    );

    for await (const chunk of streamResponse) {
    console.log(chunk);
    }

    To generate documentation, run the following commands:

    1. Generate docs.

       yarn typedoc
      
    2. Consolidate doc files into one markdown file.

       npx concat-md --decrease-title-levels --ignore=js_ts_sdk_ref.md --start-title-level-at 2 docs > docs/js_ts_sdk_ref.md
      
    3. Copy js_ts_sdk_ref.md to MkDocs directory.

       cp docs/js_ts_sdk_ref.md ../../docs/docs/cloud/reference/sdk/js_ts_sdk_ref.md
      

    Modules

    auth
    client
    index
    logging
    react
    react-ui
    react-ui/server