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library for interacting with the LangGraph API","maintainers":[{"name":"lc-oss-admin","email":"oss-admin@langchain.dev"},{"name":"langchain-security","email":"infra@langchain.dev"}],"readme":"# `@langchain/langgraph-sdk`\n\nThe JavaScript / TypeScript SDK for talking to a LangGraph API server.\nUse it to create and manage assistants, threads, runs, cron\nschedules, and the KV store — and, most importantly, to **stream**\ngraph executions in real time.\n\n📚 **[Full documentation](./docs/README.md)**\n\n## Install\n\n```bash\npnpm add @langchain/langgraph-sdk @langchain/core\n# or: npm install @langchain/langgraph-sdk @langchain/core\n# or: yarn add @langchain/langgraph-sdk @langchain/core\n```\n\n## Quick start\n\n```ts\nimport { Client } from \"@langchain/langgraph-sdk\";\n\nconst client = new Client({ apiUrl: \"http://localhost:2024\" });\n\n// Open a thread-centric stream (the recommended way to stream).\nconst thread = client.threads.stream({ assistantId: \"my-agent\" });\n\nawait thread.run.start({\n  input: { messages: [{ role: \"user\", content: \"hello\" }] },\n});\n\nfor await (const message of thread.messages) {\n  for await (const token of message.text) {\n    process.stdout.write(token);\n  }\n}\n\nconsole.log(await thread.output);\nawait thread.close();\n```\n\nWith no `apiUrl`, the SDK points at `http://localhost:2024` (the\ndefault `langgraph dev` URL).\n\n## What's in the SDK\n\n| Sub-client          | Purpose                                            | Docs                                                            |\n| ------------------- | -------------------------------------------------- | --------------------------------------------------------------- |\n| `client.threads`    | Create threads, manage state, and **stream** runs. | [Threads](./docs/threads.md) · [Streaming](./docs/streaming.md) |\n| `client.assistants` | CRUD for assistants (schemas, graphs, versions).   | [Assistants](./docs/assistants.md)                              |\n| `client.runs`       | Trigger / join / cancel runs without streaming.    | [Runs (legacy)](./docs/runs.md)                                 |\n| `client.crons`      | Schedule recurring runs.                           | [Crons](./docs/crons.md)                                        |\n| `client.store`      | Namespaced KV + semantic store.                    | [Store](./docs/store.md)                                        |\n\n### Streaming\n\n`client.threads.stream(...)` returns a [`ThreadStream`](./docs/streaming.md)\nwith typed, lazy projections for every aspect of a run:\n\n- `thread.messages` / `thread.toolCalls` — assembled chat output.\n- `thread.values` / `thread.output` — graph state and final answer.\n- `thread.interrupts` / `thread.interrupted` — human-in-the-loop.\n- `thread.subgraphs` / `thread.subagents` — nested / deep-agent work.\n- `thread.extensions.<name>` — typed custom server projections.\n- `thread.audio` / `thread.images` / `thread.video` / `thread.files`\n  — media.\n\n> **Deprecated.** The generator-based streaming APIs on\n> `client.runs.*` (`stream`, `joinStream`) and `client.threads.joinStream`\n> are preserved for backwards compatibility only. New code should use\n> `client.threads.stream(...)`. See\n> [Runs (legacy)](./docs/runs.md) for migration guidance.\n\n### Transports\n\nStreaming defaults to Server-Sent Events (SSE) over HTTP. You can\nswitch to WebSocket per-call or globally, or plug in a custom\n`AgentServerAdapter`:\n\n```ts\nconst thread = client.threads.stream({\n  assistantId: \"my-agent\",\n  transport: \"websocket\",\n});\n```\n\nSee [Transports](./docs/transports.md) for full details.\n\n## Framework adapters\n\nIf you're building a UI, use the framework-specific packages that\nwrap this SDK:\n\n- [`@langchain/langgraph-sdk/react`](../sdk-react/docs/README.md)\n- [`@langchain/langgraph-sdk/vue`](../sdk-vue/docs/README.md)\n- [`@langchain/langgraph-sdk/svelte`](../sdk-svelte/docs/README.md)\n- [`@langchain/langgraph-sdk/angular`](../sdk-angular/docs/README.md)\n\nUse the SDK directly when you need low-level control, run it from a\nnon-browser environment (Node.js server, edge workers, scripts), or\nintegrate into a framework that does not yet have a first-party\nadapter.\n\n## Architecture\n\nThe client code is organized into sub-client modules under\n`src/client/`:\n\n| Path                 | Module                                                    |\n| -------------------- | --------------------------------------------------------- |\n| `client/assistants/` | `AssistantsClient`                                        |\n| `client/threads/`    | `ThreadsClient` (includes the v2 `stream(...)` primitive) |\n| `client/runs/`       | `RunsClient` (legacy streaming + CRUD)                    |\n| `client/crons/`      | `CronsClient`                                             |\n| `client/store/`      | `StoreClient`                                             |\n| `client/stream/`     | `ThreadStream`, assemblers, transports                    |\n| `client/base.ts`     | `BaseClient`, shared config & helpers                     |\n| `client/index.ts`    | Main `Client` class & re-exports                          |\n\n## Change log\n\nSee [CHANGELOG.md](https://github.com/langchain-ai/langgraphjs/blob/main/libs/sdk/CHANGELOG.md).\n","readmeFilename":"README.md"}