change llm

agent.py

@@ -3,10 +3,9 @@ import os
 from dotenv import load_dotenv
 from typing import TypedDict, List, Dict, Any, Optional, Annotated
 
-from langchain_huggingface import HuggingFaceEmbeddings # Removed ChatHuggingFace, HuggingFaceEndpoint
+from langchain_huggingface import ChatHuggingFace, HuggingFaceEndpoint, HuggingFaceEmbeddings
 from langchain_google_genai import ChatGoogleGenerativeAI # Added ChatGoogleGenerativeAI
 
-
 from langgraph.graph import StateGraph, MessagesState, START, END
 from langgraph.graph.message import add_messages
 from langchain_core.messages import SystemMessage, HumanMessage, AnyMessage, AIMessage
@@ -157,15 +156,15 @@ tools = [
 # build graph function
 def build_graph():
     # llm
-    # Using ChatGoogleGenerativeAI as the LLM
-    llm = ChatGoogleGenerativeAI(
-        model="gemini-2.5-flash-preview-04-17",
-        google_api_key=GOOGLE_API_KEY
+    llm = HuggingFaceEndpoint(
+        repo_id="deepseek-ai/DeepSeek-V3-0324",
+        huggingfacehub_api_token=HUGGINGFACEHUB_API_TOKEN,
     )
     print(f"DEBUG: llm object = {llm}")
 
     # bind tools to llm
-    llm_with_tools = llm.bind_tools(tools)
+    chat = ChatHuggingFace(llm=llm, verbose=False)
+    llm_with_tools = chat.bind_tools(tools)
     print(f"DEBUG: llm_with_tools object = {llm_with_tools}")
 
     # generate AgentState and Agent graph