♻️ Add log of llm input

♻️ Add log of llm input

Author: WMC001

frontend/public/locales/en/common.json

@@ -165,11 +165,6 @@
     "More accurate Q&A experience"
   ],
   "page.loginPrompt.githubSupport": "⭐️ Nexent is still growing, please help me by starring on <1>GitHub</1>, thank you.",
-  "page.loginPrompt.title": "Welcome to Nexent",
-  "page.loginPrompt.register": "Create New Account",
-  "page.loginPrompt.login": "Log in to account",
-  "page.loginPrompt.intro": "Please log in to your account to access this page.",
-  "page.loginPrompt.githubSupport": "Support us on GitHub",
   "page.loginPrompt.noAccount": "Don't have an account yet? Click the \"Register\" button to create your exclusive account~",
   "page.adminPrompt.title": "Oh, you are not an administrator",
   "page.adminPrompt.close": "OK",
@@ -182,9 +177,6 @@
     "Create and publish exclusive smart Agents",
     "Integrate and configure your own tools"
   ],
-  "page.adminPrompt.title": "Access Denied",
-  "page.adminPrompt.intro": "You don't have permission to access this page. Please contact an administrator to request elevated privileges.",
-  "page.adminPrompt.githubSupport": "⭐️ Nexent is still growing, please help me by starring on <1>GitHub</1>, thank you.",
   "page.adminPrompt.becomeAdmin": "💡 Want to become an administrator? Please visit the <1>official contact page</1> to apply for an administrator account.",
 
   "chatStreamMessage.appIconAlt": "App Icon",

frontend/public/locales/zh/common.json

@@ -165,11 +165,6 @@
     "更精准的问答体验"
   ],
   "page.loginPrompt.githubSupport": "⭐️ Nexent还在成长中，帮帮我到<1>GitHub</1>加星支持我吧，谢谢你。",
-  "page.loginPrompt.title": "欢迎使用 Nexent",
-  "page.loginPrompt.register": "注册账户",
-  "page.loginPrompt.login": "登录账户",
-  "page.loginPrompt.intro": "请登录您的账户以访问此页面。",
-  "page.loginPrompt.githubSupport": "在 GitHub 上支持我们",
   "page.loginPrompt.noAccount": "还没有账号？点击\"注册\"按钮创建您的专属账号~",
   "page.adminPrompt.title": "啊哦，您不是管理员",
   "page.adminPrompt.close": "好的",
@@ -182,9 +177,6 @@
     "制作和发布专属智能Agent",
     "集成和配置自有工具"
   ],
-  "page.adminPrompt.title": "暂无权限",
-  "page.adminPrompt.intro": "您暂时没有权限访问该页面，请联系管理员为您提升权限。",
-  "page.adminPrompt.githubSupport": "⭐️ Nexent还在成长中，帮帮我到<1>GitHub</1>加星支持我吧，谢谢你。",
   "page.adminPrompt.becomeAdmin": "💡 想成为管理员？请访问<1>官网联系页</1>，申请管理员账号。",
 
   "chatStreamMessage.appIconAlt": "应用图标",

sdk/nexent/core/agents/core_agent.py

@@ -113,6 +113,60 @@ def __init__(self, observer: MessageObserver, prompt_templates: Dict[str, Any] |
         self.observer = observer
         self.stop_event = threading.Event()
 
+    def _log_model_call_parameters(self, input_messages: List[ChatMessage], stop_sequences: List[str], additional_args: Dict[str, Any]) -> None:
+        """
+        Log model call parameters with content truncation for readability.
+
+
+        Args:
+            input_messages: List of chat messages being sent to the model
+            stop_sequences: Stop sequences for the model
+            additional_args: Additional arguments passed to the model
+        """
+        try:
+            # Convert messages to serializable format and truncate
+            messages_data = []
+            for msg in input_messages:
+                msg_dict = msg.model_dump() if hasattr(msg, 'model_dump') else (
+                    msg.__dict__ if hasattr(msg, '__dict__') else str(msg)
+                )
+                messages_data.append(msg_dict)
+
+            # Format as JSON with truncation for readability
+            messages_json = json.dumps(messages_data, indent=2, ensure_ascii=False, default=str)
+            truncated_messages = truncate_content(messages_json, max_length=1000)
+
+            # Format stop sequences
+            stop_seq_str = ", ".join(f'"{seq}"' for seq in stop_sequences) if stop_sequences else "None"
+
+            # Format additional args (excluding sensitive data)
+            safe_args = {}
+            for key, value in additional_args.items():
+                if key.lower() in ['api_key', 'token', 'password', 'secret']:
+                    safe_args[key] = "***REDACTED***"
+                else:
+                    safe_args[key] = value
+
+            args_str = json.dumps(safe_args, indent=2, ensure_ascii=False) if safe_args else "None"
+
+            # Create log content
+            log_content = f"""Input Messages ({len(input_messages)} total):
+{truncated_messages}
+
+Stop Sequences: [{stop_seq_str}]
+Additional Args:
+{args_str}"""
+
+            self.logger.log_markdown(
+                content=log_content,
+                title="MODEL INPUT PARAMETERS",
+                level=LogLevel.INFO
+            )
+
+        except Exception as e:
+            # Don't let logging errors break the model call
+            self.logger.log(f"Failed to log model call parameters: {e}", level=LogLevel.WARNING)
+
     def _step_stream(self, memory_step: ActionStep) -> Generator[Any]:
         """
         Perform one step in the ReAct framework: the agent thinks, acts, and observes the result.
@@ -129,10 +183,15 @@ def _step_stream(self, memory_step: ActionStep) -> Generator[Any]:
         memory_step.model_input_messages = input_messages
         stop_sequences = ["<END_CODE>", "Observation:", "Calling tools:", "<END_CODE"]
 
+        # Prepare additional arguments
+        additional_args: dict[str, Any] = {}
+        if self._use_structured_outputs_internally:
+            additional_args["response_format"] = CODEAGENT_RESPONSE_FORMAT
+
+        # Log model call parameters before execution
+        self._log_model_call_parameters(input_messages, stop_sequences, additional_args)
+
         try:
-            additional_args: dict[str, Any] = {}
-            if self._use_structured_outputs_internally:
-                additional_args["response_format"] = CODEAGENT_RESPONSE_FORMAT
             chat_message: ChatMessage = self.model(input_messages,
                                                    stop_sequences=stop_sequences, **additional_args)
             memory_step.model_output_message = chat_message