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@ai-sdk/harness-deepagents\n\nA [HarnessV1](../harness) adapter that runs [Deep Agents](https://github.com/langchain-ai/deepagentsjs)\n(LangChain's LangGraph-based agent harness) as a coding-agent runtime inside an\nAI SDK sandbox.\n\nThis is a **bridge-backed** harness: the Deep Agents runtime runs inside the\nsandbox via a Node bridge (`node bridge.mjs`) built on the shared\n`@ai-sdk/harness/bridge` runtime, while the host adapter drives turns over a\nWebSocket.\n\n> **Status: happy-path validated.** The host adapter (`doStart` + session:\n> `doPromptTurn`/`doStop`/`doDestroy`) and the Node bridge (driving the\n> `deepagents` npm package via `createDeepAgent` + `streamEvents`) are validated\n> end-to-end against a live Vercel Sandbox: text generation, streaming,\n> multi-turn memory, and host-executed tools all work. Turn continuation,\n> suspend/detach, cross-process resume, and built-in tool approvals throw\n> `HarnessCapabilityUnsupportedError` and are follow-ups.\n\n## Setup\n\n```bash\npnpm add @ai-sdk/harness-deepagents @ai-sdk/harness\n```\n\nThe harness installs the\nbridge's Node dependencies (the `deepagents` package and LangChain) into its\nbootstrap directory via `pnpm` at startup.\n\n## Usage\n\n```ts\nimport { HarnessAgent } from '@ai-sdk/harness/agent';\nimport { deepAgents } from '@ai-sdk/harness-deepagents';\nimport { createVercelNetworkSandboxSession } from '@ai-sdk/sandbox-vercel';\n\nconst agent = new HarnessAgent({\n  harness: deepAgents,\n});\nconst sandboxSession = await createVercelNetworkSandboxSession({\n  runtime: 'node24',\n  ports: [4000],\n  template: await agent.getSandboxTemplate(),\n});\nconst session = await agent.createSession({ sandboxSession });\ntry {\n  console.log(\n    (await agent.generate({ session, prompt: 'Inspect this project.' })).text,\n  );\n} finally {\n  await session.destroy();\n  await sandboxSession.destroy();\n}\n```\n\n## Auth\n\nDeep Agents uses the Anthropic client directly or through AI Gateway. With no\nmode configured, the adapter prefers ambient AI Gateway credentials and falls\nback to ambient Anthropic credentials. Pass an authentication environment to\nuse programmatically resolved credentials without reading `process.env`:\n\n```ts\nconst agent = new HarnessAgent({\n  harness: createDeepAgents({\n    auth: { ANTHROPIC_API_KEY: token },\n  }),\n  model: 'anthropic/claude-sonnet-4.5',\n});\n```\n\n## Built-in tools\n\n| Common name | Native (LangGraph) tool |\n| ----------- | ----------------------- |\n| `read`      | `read_file`             |\n| `write`     | `write_file`            |\n| `bash`      | `shell`                 |\n| `grep`      | `search`                |\n\nSee the [harness docs](https://ai-sdk.dev/docs) for broader concepts.\n","readmeFilename":""}