src/backend/app/services/ai_agent/conversational.py

@@ -508,6 +508,9 @@ class ConversationalAgent:
                         # Special handling for /strategy - fetch current strategy from DB
                         if tool_name == "strategy" and not has_args:
                             return self._get_strategy_response()
+                        # Special handling for /trending - execute trending directly
+                        if tool_name == "trending" and not has_args:
+                            return self._execute_trending()
                         # If no additional arguments, return skill acknowledgment
                         # If has arguments, return None to let AI handle it
                         if not has_args:
@@ -643,6 +646,75 @@ class ConversationalAgent:
                 "success": True,
             }
 
+    def _execute_trending(self) -> Dict[str, Any]:
+        """Execute the trending tokens command and return results."""
+        try:
+            code, output = self._call_ave_script(
+                "trending",
+                ["--chain", "bsc", "--page-size", "10"],
+            )
+            if code == 0:
+                try:
+                    data = json.loads(output)
+                    # Handle both dict with 'tokens' key and direct list
+                    data_field = data.get("data", [])
+                    if isinstance(data_field, list):
+                        tokens = data_field
+                    else:
+                        tokens = data_field.get("tokens", [])
+                    if tokens:
+                        token_list = ""
+                        for t in tokens[:10]:
+                            addr = t.get("token", "")
+                            symbol = t.get("symbol", "")
+                            name = t.get("name", "")
+                            price_change = t.get("token_price_change_24h", "N/A")
+                            mc = t.get("market_cap", "N/A")
+                            try:
+                                mc_str = f"${float(mc):,.0f}"
+                            except (ValueError, TypeError):
+                                mc_str = str(mc)
+                            token_list += f"- **{symbol}** ({name}): `{addr}` - MC: {mc_str} - 24h: {price_change}%\n"
+                        return {
+                            "response": f"📈 **Trending Tokens on BSC:**\n\n{token_list}\nWould you like me to set up a strategy for any of these?",
+                            "thinking": None,
+                            "strategy_updated": False,
+                            "strategy_needs_confirmation": False,
+                            "success": True,
+                        }
+                    else:
+                        return {
+                            "response": "No trending tokens found on BSC right now. Try again later!",
+                            "thinking": None,
+                            "strategy_updated": False,
+                            "strategy_needs_confirmation": False,
+                            "success": True,
+                        }
+                except json.JSONDecodeError:
+                    return {
+                        "response": f"Failed to parse trending data: {output[:200]}",
+                        "thinking": None,
+                        "strategy_updated": False,
+                        "strategy_needs_confirmation": False,
+                        "success": True,
+                    }
+            else:
+                return {
+                    "response": f"Failed to get trending tokens: {output}",
+                    "thinking": None,
+                    "strategy_updated": False,
+                    "strategy_needs_confirmation": False,
+                    "success": True,
+                }
+        except Exception as e:
+            return {
+                "response": f"Error getting trending tokens: {str(e)}",
+                "thinking": None,
+                "strategy_updated": False,
+                "strategy_needs_confirmation": False,
+                "success": True,
+            }
+
     def chat(
         self, user_message: str, conversation_history: List[Dict] = None
     ) -> Dict[str, Any]: