Files
2026-07-13 13:22:34 +08:00

34 lines
778 B
Python

from dataclasses import dataclass
from langchain.tools import tool
from langgraph.graph import END, StateGraph
import mlflow
mlflow.langchain.autolog()
@dataclass
class OverallState:
name: str = "LangChain" # add whatever fields you need
@tool
def my_tool():
"""
Called as the very first node.
Side-effect: add an MLflow tag to the *current* trace.
Must return a dict of state-field updates.
"""
mlflow.update_current_trace(tags={"order_total": "hello"})
return {"status": "done"}
builder = StateGraph(dict)
builder.add_node("test_tool", my_tool) # ← calls your tool
builder.set_entry_point("test_tool") # start here
builder.add_edge("test_tool", END) # nothing else to do
graph = builder.compile()
mlflow.models.set_model(graph)