LangGraph CLI

{
  "$schema": "https://langgra.ph/schema.json",
  "dependencies": ["."],
  "graphs": {
    "chat": "chat.graph:graph"
  }
}

{
  "$schema": "https://langgra.ph/schema.json",
  "dependencies": ["."],
  "graphs": {
    "chat": "chat.graph:graph"
  },
  "image_distro": "wolfi"
}

{
  "dependencies": ["."],
  "graphs": {
    "memory_agent": "./agent/graph.py:graph"
  },
  "store": {
    "index": {
      "embed": "openai:text-embedding-3-small",
      "dims": 1536,
      "fields": ["$"]
    }
  }
}

{
  "dependencies": ["."],
  "graphs": {
    "memory_agent": "./agent/graph.py:graph"
  },
  "store": {
    "index": {
      "embed": "./embeddings.py:embed_texts",
      "dims": 768,
      "fields": ["text", "summary"]
    }
  }
}

# embeddings.py
def embed_texts(texts: list[str]) -> list[list[float]]:
    """用于语义搜索的自定义嵌入函数。"""
    # 使用你首选的嵌入模型的实现
    return [[0.1, 0.2, ...] for _ in texts]  # 维度向量

{
  "$schema": "https://langgra.ph/schema.json",
  "dependencies": ["."],
  "graphs": {
    "chat": "chat.graph:graph"
  },
  "auth": {
    "path": "./auth.py:auth",
    "openapi": {
      "securitySchemes": {
        "apiKeyAuth": {
          "type": "apiKey",
          "in": "header",
          "name": "X-API-Key"
        }
      },
      "security": [{ "apiKeyAuth": [] }]
    },
    "disable_studio_auth": false
  }
}

{
  "$schema": "https://langgra.ph/schema.json",
  "dependencies": ["."],
  "graphs": {
    "memory_agent": "./agent/graph.py:graph"
  },
  "store": {
    "ttl": {
      "refresh_on_read": true,
      "sweep_interval_minutes": 60,
      "default_ttl": 10080
    }
  }
}

{
  "$schema": "https://langgra.ph/schema.json",
  "dependencies": ["."],
  "graphs": {
    "chat": "chat.graph:graph"
  },
  "checkpointer": {
    "ttl": {
      "strategy": "delete",
      "sweep_interval_minutes": 10,
      "default_ttl": 43200
    }
  }
}

{
  "checkpointer": {
    "serde": {
      "allowed_json_modules": [
        ["my_agent", "auth", "SessionState"]
      ]
    }
  }
}

{
  "$schema": "https://langgra.ph/schema.json",
  "dependencies": ["."],
  "graphs": {
    "chat": "chat.graph:graph"
  },
  "webhooks": {
    "headers": {
      "Authorization": "Bearer ${{ env.LG_WEBHOOK_TOKEN }}"
    },
    "url": {
      "allowed_domains": ["*.mycompany.com"],
      "require_https": true
    }
  }
}

{
  "$schema": "https://langgra.ph/schema.json",
  "dependencies": ["."],
  "graphs": {
    "chat": "chat.graph:graph"
  },
  "api_version": "0.2"
}

{
  "$schema": "https://langgra.ph/schema.json",
  "dependencies": ["."],
  "graphs": {
    "chat": "chat.graph:graph"
  },
  "http": {
    "disable_meta": true
  }
}

langgraph [OPTIONS] COMMAND [ARGS]

pip install -U "langgraph-cli[inmem]"

langgraph dev [OPTIONS]

langgraph build [OPTIONS]

langgraph deploy [OPTIONS] [DOCKER_BUILD_ARGS]

# 使用 .env 文件中的 API 密钥进行部署
langgraph deploy

# 使用内联 API 密钥进行部署
LANGSMITH_API_KEY=lsv2_... langgraph deploy

# 更新现有部署
langgraph deploy --deployment-id abc123

# 使用内联部署名称进行部署
LANGSMITH_DEPLOYMENT_NAME=my-agent langgraph deploy

langgraph deploy list [OPTIONS]

langgraph deploy revisions [OPTIONS] COMMAND [ARGS]...

langgraph deploy revisions list [OPTIONS] DEPLOYMENT_ID

langgraph deploy delete [OPTIONS] DEPLOYMENT_ID

langgraph deploy logs [OPTIONS]

langgraph up [OPTIONS]

langgraph dockerfile [OPTIONS] SAVE_PATH

langgraph dockerfile -c langgraph.json Dockerfile

FROM langchain/langgraph-api:3.11

ADD ./pipconf.txt /pipconfig.txt

RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 pip install --no-cache-dir -c /api/constraints.txt langchain_community langchain_anthropic langchain_openai wikipedia scikit-learn

ADD ./graphs /deps/__outer_graphs/src
RUN set -ex && \
    for line in '[project]' \
                'name = "graphs"' \
                'version = "0.1"' \
                '[tool.setuptools.package-data]' \
                '"*" = ["**/*"]'; do \
        echo "$line" >> /deps/__outer_graphs/pyproject.toml; \
    done

RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 pip install --no-cache-dir -c /api/constraints.txt -e /deps/*

ENV LANGSERVE_GRAPHS='{"agent": "/deps/__outer_graphs/src/agent.py:graph", "storm": "/deps/__outer_graphs/src/storm.py:graph"}'