LangGraph Quickstart

A minimal LangGraph research graph. Clone, set your key, deploy — done.

Deploy in 3 steps

1. Clone & install

git clone https://github.com/Crewship/langgraph-quickstart.git
cd langgraph-quickstart
# install Crewship CLI tool
curl -fsSL crewship.dev/install | bash
pip install -e .

2. Set your API key

crewship env set OPENAI_API_KEY=sk-...

Using a different provider? Swap the ChatOpenAI import in graph.py and set the matching key — e.g. ANTHROPIC_API_KEY for Claude, GROQ_API_KEY for Groq (free tier).

3. Deploy

crewship deploy

That's it. Your research graph is live.

Run locally (optional)

cp .env.example .env   # add your OPENAI_API_KEY
python main.py

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What's inside

A two-node graph powered by GPT-4o mini:

• researcher — finds 5 key points about a topic
• reporter — turns them into a short markdown report

Change the topic in main.py.

Customise

• Graph logic → graph.py
• Entry point → main.py

Learn more

• LangGraph documentation
• LangChain docs