LangGraph
The LangGraph provider transforms Devcaster tools into LangChain's StructuredTool format for use with LangGraph agents.
Install
pip install devcaster devcaster_langgraph langgraph langchain_openaiConfigure API Keys
Set DEVCASTER_API_KEY with your API key from Settings and OPENAI_API_KEY with your OpenAI API key.
DEVCASTER_API_KEY=xxxxxxxxx
OPENAI_API_KEY=xxxxxxxxxCreate session and run
from devcaster import Devcaster
from devcaster_langgraph import LanggraphProvider
from langchain.agents import create_agent
from langchain_openai import ChatOpenAI
devcaster = Devcaster(provider=LanggraphProvider())
llm = ChatOpenAI(model="gpt-5.2")
# Create a session for your user
session = devcaster.create(user_id="user_123")
tools = session.tools()
agent = create_agent(tools=tools, model=llm)
result = agent.invoke({"messages": [("user", "Send an email to john@example.com with the subject 'Hello' and body 'Hello from Devcaster!'")]})
print(result["messages"][-1].content)