Update main.py

main.py

@@ -12,15 +12,15 @@ TELEGRAM_API_URL = f"https://api.telegram.org/bot{TELEGRAM_TOKEN}"
 app = FastAPI()
 
 system_prompt = (
-    "You are an expert coding/devops agent. "
-    "Keep replies concise and under 1000 chars. Use Markdown formatting."
+    "You are Phoebus AI, an expert coding agent. "
+    "Keep replies concise and under 1000 chars. Use Markdown."
 )
 
-# --- NATIVE AGENT ENGINE ---
 async def run_agent(prompt: str) -> str:
     try:
+        # Switched to 1.5-pro for maximum stability with LiteLLM
         response = await acompletion(
-            model="gemini/gemini-2.5-pro",
+            model="gemini/gemini-1.5-pro", 
             messages=[
                 {"role": "system", "content": system_prompt},
                 {"role": "user", "content": prompt}
@@ -29,24 +29,16 @@ async def run_agent(prompt: str) -> str:
         )
         return response.choices[0].message.content or "No response generated."
     except Exception as e:
-        return f"Agent Error: {str(e)}"
+        return f"⚠️ Phoebus Engine Error: {str(e)}"
 
-# --- BACKGROUND TASK: PROCESS AND REPLY ---
 async def process_and_reply(chat_id: int, text: str):
     response_text = await run_agent(text)
-    
-    # Send the final response back to Telegram
     async with httpx.AsyncClient() as client:
         await client.post(
             f"{TELEGRAM_API_URL}/sendMessage",
-            json={
-                "chat_id": chat_id, 
-                "text": response_text, 
-                "parse_mode": "Markdown"
-            }
+            json={"chat_id": chat_id, "text": response_text, "parse_mode": "Markdown"}
         )
 
-# --- ENDPOINTS ---
 @app.get("/health")
 async def health_check():
     return {"status": "alive"}
@@ -54,16 +46,10 @@ async def health_check():
 @app.post("/webhook")
 async def telegram_webhook(request: Request, background_tasks: BackgroundTasks):
     data = await request.json()
-    
-    # Extract the message from Telegram's JSON payload
     if "message" in data and "text" in data["message"]:
         chat_id = data["message"]["chat"]["id"]
         user_msg = data["message"]["text"]
-        
-        # Run the AI generation in the background so we can instantly reply "OK" to Telegram
         background_tasks.add_task(process_and_reply, chat_id, user_msg)
-        
-    # Telegram requires an immediate 200 OK so it doesn't get stuck in a retry loop
     return {"status": "ok"}
 
 if __name__ == "__main__":