Update app.py

app.py

@@ -10,7 +10,7 @@ import unicodedata
 from typing import TypedDict, Annotated, Any, List, Optional
  
 from huggingface_hub import InferenceClient
- 
+from openai import OpenAI
 from langchain_core.messages import AnyMessage, HumanMessage, SystemMessage, AIMessage, ToolMessage
 from langchain_core.tools import tool
 from langchain_community.tools import DuckDuckGoSearchRun
@@ -148,11 +148,11 @@ class BasicAgent:
         self.tools_by_name = {t.name: t for t in self.tools_list}
  
         # InferenceClient diretto — usa la Serverless Inference API HF
-        self.client = InferenceClient(
-            api_key=os.getenv("HF_TOKEN"),
+        client = OpenAI(
+            api_key=os.getenv("GROQ_API_KEY"),
+            base_url="https://api.groq.com/openai/v1"
         )
-         
-        # Schema OpenAI dei tool per passarli al client
+                # Schema OpenAI dei tool per passarli al client
         self.tools_schema = [_tool_to_openai_schema(t) for t in self.tools_list]
  
         # Grafo LangGraph per gestire il loop ReAct
@@ -203,13 +203,9 @@ class BasicAgent:
         sys_msg = SystemMessage(content=SYSTEM_PROMPT)
         hf_messages = self._messages_to_hf_format([sys_msg] + state["messages"])
  
-        response = self.client.chat_completion(
-            model="Qwen/Qwen2.5-7B-Instruct",            
+        response = self.client.chat.completions.create(
+            model="llama-3.3-70b-versatile",
             messages=hf_messages,
-            tools=self.tools_schema,
-            tool_choice="auto",
-            max_tokens=512,
-            temperature=0,
         )
  
         choice = response.choices[0].message