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]]:
    """Custom embedding function for semantic search."""
    # Implementation using your preferred embedding model
    return [[0.1, 0.2, ...] for _ in texts]  # dims-dimensional vectors

{
    "$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"
    },
    "api_version": "0.2"
}

{
    "$schema": "https://langgra.ph/schema.json",
    "graphs": {
        "chat": "./src/graph.ts:graph"
    }
}

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

langgraph [OPTIONS] COMMAND [ARGS]

npx @langchain/langgraph-cli [OPTIONS] COMMAND [ARGS]

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

langgraph dev [OPTIONS]

npx @langchain/langgraph-cli dev [OPTIONS]

langgraph build [OPTIONS]

npx @langchain/langgraph-cli build [OPTIONS]

langgraph up [OPTIONS]

npx @langchain/langgraph-cli 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"}'

npx @langchain/langgraph-cli dockerfile [OPTIONS] SAVE_PATH

npx @langchain/langgraph-cli dockerfile -c langgraph.json Dockerfile

FROM langchain/langgraphjs-api:20

ADD . /deps/agent

RUN cd /deps/agent && yarn install

ENV LANGSERVE_GRAPHS='{"agent":"./src/react_agent/graph.ts:graph"}'

WORKDIR /deps/agent

RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts