fix: instantiate llm inside node in langgraph scaffold template

Author: radu-mocanu

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "uipath-langchain"
-version = "0.11.14"
+version = "0.11.15"
 description = "Python SDK that enables developers to build and deploy LangGraph agents to the UiPath Cloud Platform"
 readme = { file = "README.md", content-type = "text/markdown" }
 requires-python = ">=3.11"

src/uipath_langchain/_cli/_templates/main.py.template

@@ -3,8 +3,6 @@ from langgraph.graph import START, StateGraph, END
 from uipath_langchain.chat import UiPathChat
 from pydantic import BaseModel
 
-llm = UiPathChat(model="gpt-4o-mini-2024-07-18")
-
 
 class GraphState(BaseModel):
     topic: str
@@ -15,6 +13,7 @@ class GraphOutput(BaseModel):
 
 
 async def generate_report(state: GraphState) -> GraphOutput:
+    llm = UiPathChat(model="gpt-4o-mini-2024-07-18")
     system_prompt = "You are a report generator. Please provide a brief report based on the given topic."
     output = await llm.ainvoke(
         [SystemMessage(system_prompt), HumanMessage(state.topic)]