changed model

doli4.py

@@ -109,6 +109,17 @@ def dolibarr_interface(method: str, endpoint: str, api_key=os.getenv("DOLIBARR_A
         logger.error(f"Unexpected error in dolibarr_interface: {e}")
         return json.dumps({"error": f"Unexpected error: {str(e)}"}, indent=2)
 
+def format_api_response(api_result, max_items=10):
+    try:
+        data = json.loads(api_result)
+        if isinstance(data, list) and len(data) > max_items:
+            truncated = data[:max_items]
+            truncated.append({"info": f"Showing first {max_items} results. Ask for more if needed."})
+            return json.dumps(truncated, indent=2)
+        return api_result
+    except Exception:
+        return api_result  # fallback if not JSON
+
 class OpenAIDolibarrAgent:
     def __init__(self, openai_api_key: str, dolibarr_api_key: str, base_url: str = None):
         self.client = openai.OpenAI(api_key=openai_api_key, base_url=base_url)
@@ -237,7 +248,8 @@ Current date: """ + datetime.now().strftime("%Y-%m-%d")
 
     def execute_dolibarr_call(self, method: str, endpoint: str, payload: str = "") -> str:
         """Execute the actual Dolibarr API call"""
-        return dolibarr_interface(method, endpoint, self.dolibarr_api_key, payload)
+        raw_result = dolibarr_interface(method, endpoint, self.dolibarr_api_key, payload)
+        return format_api_response(raw_result)
 
     def chat(self, message: str, history: List[List[str]]) -> str:
         """Main chat function that processes user messages"""
@@ -245,7 +257,9 @@ Current date: """ + datetime.now().strftime("%Y-%m-%d")
             # Convert Gradio history to OpenAI format
             messages = [{"role": "system", "content": self.system_prompt}]
             
-            for human_msg, assistant_msg in history:
+            # Only keep the last 6 messages (3 user/assistant pairs)
+            max_history = 6
+            for human_msg, assistant_msg in history[-max_history:]:
                 if human_msg:
                     messages.append({"role": "user", "content": human_msg})
                 if assistant_msg:
@@ -257,7 +271,7 @@ Current date: """ + datetime.now().strftime("%Y-%m-%d")
             # Call OpenAI API with functions
             logger.info("Sending request to Nebius API...")
             response = self.client.chat.completions.create(
-                model="gpt-3.5-turbo",  # or gpt-4 "Qwen/Qwen3-235B-A22B",
+                model="gpt-4.1-mini",#"gpt-3.5-turbo",  # or gpt-4 "Qwen/Qwen3-235B-A22B",
                 messages=messages,
                 functions=self.functions,
                 function_call="auto",
@@ -296,7 +310,7 @@ Current date: """ + datetime.now().strftime("%Y-%m-%d")
                     # Get final response
                     logger.info("Getting final response from Nebius...")
                     final_response = self.client.chat.completions.create(
-                        model="gpt-3.5-turbo",#"Qwen/Qwen3-235B-A22B",
+                        model="gpt-4.1-mini",#"gpt-3.5-turbo",#"Qwen/Qwen3-235B-A22B",
                         messages=messages,
                         max_tokens=1500
                     )