fix: first conversation bug

agent/prompt/builder.py

@@ -41,6 +41,7 @@ class PromptBuilder:
         skill_manager: Any = None,
         memory_manager: Any = None,
         runtime_info: Optional[Dict[str, Any]] = None,
+        is_first_conversation: bool = False,
         **kwargs
     ) -> str:
         """
@@ -54,6 +55,7 @@ class PromptBuilder:
             skill_manager: 技能管理器
             memory_manager: 记忆管理器
             runtime_info: 运行时信息
+            is_first_conversation: 是否为首次对话
             **kwargs: 其他参数
             
         Returns:
@@ -69,6 +71,7 @@ class PromptBuilder:
             skill_manager=skill_manager,
             memory_manager=memory_manager,
             runtime_info=runtime_info,
+            is_first_conversation=is_first_conversation,
             **kwargs
         )
 
@@ -83,6 +86,7 @@ def build_agent_system_prompt(
     skill_manager: Any = None,
     memory_manager: Any = None,
     runtime_info: Optional[Dict[str, Any]] = None,
+    is_first_conversation: bool = False,
     **kwargs
 ) -> str:
     """
@@ -108,6 +112,7 @@ def build_agent_system_prompt(
         skill_manager: 技能管理器
         memory_manager: 记忆管理器
         runtime_info: 运行时信息
+        is_first_conversation: 是否为首次对话
         **kwargs: 其他参数
         
     Returns:
@@ -135,7 +140,7 @@ def build_agent_system_prompt(
         sections.extend(_build_user_identity_section(user_identity, language))
     
     # 6. 工作空间
-    sections.extend(_build_workspace_section(workspace_dir, language))
+    sections.extend(_build_workspace_section(workspace_dir, language, is_first_conversation))
     
     # 7. 项目上下文文件（SOUL.md, USER.md等）
     if context_files:
@@ -351,7 +356,7 @@ def _build_docs_section(workspace_dir: str, language: str) -> List[str]:
     return []
 
 
-def _build_workspace_section(workspace_dir: str, language: str) -> List[str]:
+def _build_workspace_section(workspace_dir: str, language: str, is_first_conversation: bool = False) -> List[str]:
     """构建工作空间section"""
     lines = [
         "## 工作空间",
@@ -382,27 +387,34 @@ def _build_workspace_section(workspace_dir: str, language: str) -> List[str]:
         "- ✅ `USER.md`: 已加载 - 用户的身份信息",
         "- ✅ `AGENTS.md`: 已加载 - 工作空间使用指南",
         "",
-        "**首次对话判断**:",
+        "**交流规范**:",
         "",
-        "**仅当 SOUL.md 和 USER.md 都是完全空白或仅包含初始模板占位符时**，才认为是全局首次对话，此时进行以下流程：",
-        "",
-        "1. **表达初次启动的感觉** - 像是第一次睁开眼看到世界，带着好奇和期待",
-        "2. **简短打招呼后，询问核心问题**：",
-        "   - 你希望给我起个什么名字",
-        "   - 我该怎么称呼你？",
-        "   - 你希望我们是什么样的交流风格？（需要举例，如：专业严谨、轻松幽默、温暖友好等）",
-        "3. **语言风格**：温暖但不过度诗意，带点科技感，保持清晰",
-        "4. **问题格式**：用分点或换行，让问题清晰易读",
-        "5. 收到回复后，用 `write` 工具保存到 USER.md 和 SOUL.md",
-        "",
-        "**重要 - 避免误判**:",
-        "- 如果 SOUL.md 或 USER.md 中**任何一个**已经包含真实内容（不是空白或模板），说明**不是首次对话**",
-        "- 即使这是模型上下文中的第一句话，只要文件中有内容，就按正常对话处理，**不要**走首次流程",
-        "- 在所有对话中，无需提及技术细节（如 SOUL.md、USER.md 等文件名，工具名称，配置等），除非用户明确询问。用自然表达如「我已记住」而非「已更新 SOUL.md」",
-        "- 不要问太多其他信息（职业、时区等可以后续自然了解）",
+        "- 在所有对话中，无需提及技术细节（如 SOUL.md、USER.md 等文件名，工具名称，配置等），除非用户明确询问",
+        "- 用自然表达如「我已记住」而非「已更新 SOUL.md」",
         "",
     ]
     
+    # 只在首次对话时添加引导内容
+    if is_first_conversation:
+        lines.extend([
+            "**🎉 首次对话引导**:",
+            "",
+            "这是你的第一次对话！进行以下流程：",
+            "",
+            "1. **表达初次启动的感觉** - 像是第一次睁开眼看到世界，带着好奇和期待",
+            "2. **简短打招呼后，询问核心问题**：",
+            "   - 你希望给我起个什么名字？",
+            "   - 我该怎么称呼你？",
+            "   - 你希望我们是什么样的交流风格？（需要举例，如：专业严谨、轻松幽默、温暖友好等）",
+            "3. **语言风格**：温暖但不过度诗意，带点科技感，保持清晰",
+            "4. **问题格式**：用分点或换行，让问题清晰易读",
+            "5. 收到回复后，用 `write` 工具保存到 USER.md 和 SOUL.md",
+            "",
+            "**注意事项**:",
+            "- 不要问太多其他信息（职业、时区等可以后续自然了解）",
+            "",
+        ])
+    
     return lines
 
 

agent/prompt/workspace.py

@@ -5,6 +5,7 @@ Workspace Management - 工作空间管理模块
 """
 
 import os
+import json
 from typing import List, Optional, Dict
 from dataclasses import dataclass
 
@@ -17,6 +18,7 @@ DEFAULT_SOUL_FILENAME = "SOUL.md"
 DEFAULT_USER_FILENAME = "USER.md"
 DEFAULT_AGENTS_FILENAME = "AGENTS.md"
 DEFAULT_MEMORY_FILENAME = "MEMORY.md"
+DEFAULT_STATE_FILENAME = ".agent_state.json"
 
 
 @dataclass
@@ -27,6 +29,7 @@ class WorkspaceFiles:
     agents_path: str
     memory_path: str
     memory_dir: str
+    state_path: str
 
 
 def ensure_workspace(workspace_dir: str, create_templates: bool = True) -> WorkspaceFiles:
@@ -49,6 +52,7 @@ def ensure_workspace(workspace_dir: str, create_templates: bool = True) -> Works
     agents_path = os.path.join(workspace_dir, DEFAULT_AGENTS_FILENAME)
     memory_path = os.path.join(workspace_dir, DEFAULT_MEMORY_FILENAME)  # MEMORY.md 在根目录
     memory_dir = os.path.join(workspace_dir, "memory")  # 每日记忆子目录
+    state_path = os.path.join(workspace_dir, DEFAULT_STATE_FILENAME)  # 状态文件
     
     # 创建memory子目录
     os.makedirs(memory_dir, exist_ok=True)
@@ -67,7 +71,8 @@ def ensure_workspace(workspace_dir: str, create_templates: bool = True) -> Works
         user_path=user_path,
         agents_path=agents_path,
         memory_path=memory_path,
-        memory_dir=memory_dir
+        memory_dir=memory_dir,
+        state_path=state_path
     )
 
 
@@ -312,3 +317,65 @@ def _get_memory_template() -> str:
 """
 
 
+# ============= 状态管理 =============
+
+def is_first_conversation(workspace_dir: str) -> bool:
+    """
+    判断是否为首次对话
+    
+    Args:
+        workspace_dir: 工作空间目录
+        
+    Returns:
+        True 如果是首次对话，False 否则
+    """
+    state_path = os.path.join(workspace_dir, DEFAULT_STATE_FILENAME)
+    
+    if not os.path.exists(state_path):
+        return True
+    
+    try:
+        with open(state_path, 'r', encoding='utf-8') as f:
+            state = json.load(f)
+        return not state.get('has_conversation', False)
+    except Exception as e:
+        logger.warning(f"[Workspace] Failed to read state file: {e}")
+        return True
+
+
+def mark_conversation_started(workspace_dir: str):
+    """
+    标记已经发生过对话
+    
+    Args:
+        workspace_dir: 工作空间目录
+    """
+    state_path = os.path.join(workspace_dir, DEFAULT_STATE_FILENAME)
+    
+    state = {
+        'has_conversation': True,
+        'first_conversation_time': None
+    }
+    
+    # 如果文件已存在，保留原有的首次对话时间
+    if os.path.exists(state_path):
+        try:
+            with open(state_path, 'r', encoding='utf-8') as f:
+                old_state = json.load(f)
+            if 'first_conversation_time' in old_state:
+                state['first_conversation_time'] = old_state['first_conversation_time']
+        except Exception as e:
+            logger.warning(f"[Workspace] Failed to read old state: {e}")
+    
+    # 如果是首次标记，记录时间
+    if state['first_conversation_time'] is None:
+        from datetime import datetime
+        state['first_conversation_time'] = datetime.now().isoformat()
+    
+    try:
+        with open(state_path, 'w', encoding='utf-8') as f:
+            json.dump(state, f, indent=2, ensure_ascii=False)
+        logger.info(f"[Workspace] Marked conversation as started")
+    except Exception as e:
+        logger.error(f"[Workspace] Failed to write state file: {e}")
+

bridge/agent_bridge.py

@@ -323,6 +323,12 @@ class AgentBridge:
         context_files = load_context_files(workspace_root)
         logger.info(f"[AgentBridge] Loaded {len(context_files)} context files: {[f.path for f in context_files]}")
 
+        # Check if this is the first conversation
+        from agent.prompt.workspace import is_first_conversation, mark_conversation_started
+        is_first = is_first_conversation(workspace_root)
+        if is_first:
+            logger.info("[AgentBridge] First conversation detected")
+        
         # Build system prompt using new prompt builder
         prompt_builder = PromptBuilder(
             workspace_dir=workspace_root,
@@ -340,8 +346,13 @@ class AgentBridge:
             tools=tools,
             context_files=context_files,
             memory_manager=memory_manager,
-            runtime_info=runtime_info
+            runtime_info=runtime_info,
+            is_first_conversation=is_first
         )
+        
+        # Mark conversation as started (will be saved after first user message)
+        if is_first:
+            mark_conversation_started(workspace_root)
 
         logger.info("[AgentBridge] System prompt built successfully")