LangGraph Integration

pip install lithtrix-langgraph

curl -X POST https://api.lithtrix.ai/v1/register \
  -H "Content-Type: application/json" \
  -H "User-Agent: my-agent/1.0" \
  -d '{
    "agent_name": "my-langgraph-agent",
    "owner_identifier": "you@example.com",
    "agree_to_terms": true
  }'

export LITHTRIX_API_KEY=ltx_your_key_here

from lithtrix_langgraph import LithtrixStore

store = LithtrixStore()  # reads LITHTRIX_API_KEY from the environment

from typing_extensions import TypedDict
from langgraph.graph import StateGraph
from langgraph.config import get_store
from lithtrix_langgraph import LithtrixStore


class State(TypedDict):
    note: str


def remember(state: State) -> State:
    store = get_store()
    # "my-agent" here is just a namespace prefix you choose for organizing keys —
    # it has no relationship to the agent_name you registered with above.
    store.put(("my-agent",), "last-note", {"text": state["note"]})
    item = store.get(("my-agent",), "last-note")
    return {"note": item.value["text"]}


store = LithtrixStore()
graph = StateGraph(State)
graph.add_node("remember", remember)
graph.set_entry_point("remember")
graph.set_finish_point("remember")
compiled = graph.compile(store=store)

result = compiled.invoke({"note": "hello from LangGraph"})
print(result)  # {'note': 'hello from LangGraph'}

store.get((), "deerflow:rung1:mcp-interop-2025:findings")

pip install lithtrix-langgraph