Refactor agent.py to use HuggingFaceEndpoint for model initialization and add AgentState TypedDict for message structure

agent.py

@@ -4,8 +4,16 @@ from langgraph.graph import StateGraph, START, END
 from langchain_huggingface import ChatHuggingFace, HuggingFaceEndpoint, HuggingFacePipeline
 from langchain_core.messages import HumanMessage
 
-model = ChatHuggingFace(model = 'moonshotai/Kimi-K2.5', temperature = 0)
+# Base Hugging Face LLM used by the chat wrapper
+base_llm = HuggingFaceEndpoint(
+    repo_id="moonshotai/Kimi-K2.5",
+    task="text-generation",
+    temperature=0.0,
+    huggingfacehub_api_token=os.getenv("HUGGINGFACEHUB_API_TOKEN"),
+)
 
-class 
+model = ChatHuggingFace(llm=base_llm)
 
+class AgentState(TypedDict):
+    messages: List[Dict[str, Any]]