{
  "markdown": "# Deep Agents Template\n\nDeployment template for a deep agent built with `create_deep_agent(...)`.\n\n## What this template gives you\n\n- A deployable deep agent graph at `src/deep_agent/graph.py`.\n- Explicit workflow prompt (plan, delegate, critique, finalize).\n- Two predefined sub-agents (`researcher`, `critic`).\n- Human-in-the-loop interrupts on `execute` and `write_file`.\n- A `uv`-managed local workflow with a small `Makefile` wrapper and starter tests.\n\n## Prerequisites\n\n- An API key for your model provider (Anthropic by default)\n- A [LangSmith](https://smith.langchain.com/) account (Plus plan or higher) to deploy\n\n## Quickstart\n\n1. Sync the project and configure environment:\n\n```bash\nuv sync\ncp .env.example .env\n```\n\n2. Start the dev server:\n\n```bash\nuv run langgraph dev\n```\n\n3. Deploy to LangSmith:\n\n```bash\nuv run langgraph deploy\n```\n\nSee the [CLI docs](https://docs.langchain.com/langsmith/cli#deploy) for deploy options.\n\nTo set up CI instead, push this repo to GitHub and configure your deployment through the LangSmith UI.\n\n## Tests and lint\n\n```bash\nmake test\nmake integration-tests\nmake lint\nmake format\n```\n\nIntegration tests are skipped unless `ANTHROPIC_API_KEY` is set.\n\n## Reference docs\n\n- Deep Agents overview: https://docs.langchain.com/oss/python/deepagents/overview\n- Deep Agents quickstart: https://docs.langchain.com/oss/python/deepagents/quickstart\n- LangSmith CLI: https://docs.langchain.com/langsmith/cli\n",
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}