Langgraph checkpointer Plugin for Mysql
Project description
Unfazed Checkpointer
unfazed-checkoutpointer is a unfazed plugin for langgraph.
important:
- only support async methods now.
- only support mysql/tidb protocol now.
reference docs:
Usage
Install unfazed-checkpointer
make sure you already installed unfazed
pip install unfazed-checkpointer
Migrate the DB
currently we only support mysql or tidb
# for the first migration
unfazed-cli init-db
# for the upgrade
unfazed-cli migrate
unfazed-cli upgrade
Use it in your code
import uuid
from langchain_core.runnables import RunnableConfig
from langgraph.graph import END, START, StateGraph
from langgraph.types import Command as LangGraphCommand
from langgraph.types import interrupt
from unfazed_checkpointer.services import TortoiseCheckpointSaver
# ==================== State & Nodes ====================
class SimpleState(t.TypedDict):
foo: str
bar: t.Annotated[list[str], operator.add]
class InterruptState(t.TypedDict):
foo: str
bar: t.Annotated[list[str], operator.add]
def interrupt_node(state: InterruptState) -> dict[str, t.Any]:
"""Runs second, interrupts and modifies foo on resume."""
approved = interrupt("Do you want to proceed?")
return {"foo": f"a-approved:{approved}", "bar": ["a"]}
async def main():
workflow = StateGraph(SimpleState)
workflow.add_node("node", interrupt_node)
workflow.add_edge(START, "node")
workflow.add_edge("node", END)
checkpointer = TortoiseCheckpointSaver()
graph = workflow.compile(checkpointer=checkpointer)
thread_id = str(uuid.uuid4())
config: RunnableConfig = {"configurable": {"thread_id": thread_id}}
await graph.ainvoke(
t.cast(SimpleState, {"foo": "init", "bar": ["init"]}), config
)
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