Merge branch 'refs/heads/develop' into fix/memory_bug_fix

api/app/core/config.py

@@ -184,7 +184,7 @@ class Settings:
     ENABLE_TOOL_MANAGEMENT: bool = os.getenv("ENABLE_TOOL_MANAGEMENT", "true").lower() == "true"
 
     # official environment system version
-    SYSTEM_VERSION: str = os.getenv("SYSTEM_VERSION", "v0.2.0")
+    SYSTEM_VERSION: str = os.getenv("SYSTEM_VERSION", "v0.2.1")
 
     # workflow config
     WORKFLOW_NODE_TIMEOUT: int = int(os.getenv("WORKFLOW_NODE_TIMEOUT", 600))

api/app/core/memory/agent/langgraph_graph/nodes/summary_nodes.py

@@ -236,7 +236,7 @@ async def Retrieve_Summary(state: ReadState)-> ReadState:
     retrieve_info_str='\n'.join(retrieve_info_str)
 
     aimessages=await  summary_llm(state,history,retrieve_info_str,
-                                  'Retrieve_Summary_prompt.jinja2','retrieve_summary',RetrieveSummaryResponse,"1")
+                                  'direct_summary_prompt.jinja2','retrieve_summary',RetrieveSummaryResponse,"1")
     if '信息不足，无法回答' not in str(aimessages) or str(aimessages) != "":
         await summary_redis_save(state, aimessages)
     if aimessages == '':
@@ -276,7 +276,6 @@ async def Summary(state: ReadState)-> ReadState:
     aimessages=await  summary_llm(state,history,data,
                                   'summary_prompt.jinja2','summary',SummaryResponse,0)
 
-
     if '信息不足，无法回答' not in str(aimessages) or str(aimessages) != "":
         await summary_redis_save(state, aimessages)
     if aimessages == '':
@@ -295,9 +294,26 @@ async def Summary(state: ReadState)-> ReadState:
 async def Summary_fails(state: ReadState)-> ReadState:
     storage_type=state.get("storage_type", '')
     user_rag_memory_id=state.get("user_rag_memory_id", '')
+    history = await summary_history(state)
+    query = state.get("data", '')
+    verify = state.get("verify", '')
+    verify_expansion_issue = verify.get("verified_data", '')
+    retrieve_info_str = ''
+    for data in verify_expansion_issue:
+        for key, value in data.items():
+            if key == 'answer_small':
+                for i in value:
+                    retrieve_info_str += i + '\n'
+    data = {
+        "query": query,
+        "history": history,
+        "retrieve_info": retrieve_info_str
+    }
+    aimessages = await  summary_llm(state, history, data,
+                                 'fail_summary_prompt.jinja2', 'summary', SummaryResponse, 0)
     result= {
         "status": "success",
-        "summary_result": "没有相关数据",
+        "summary_result": aimessages,
         "storage_type": storage_type,
         "user_rag_memory_id": user_rag_memory_id
     }

api/app/core/memory/agent/utils/prompt/fail_summary_prompt.jinja2

@@ -0,0 +1,43 @@
+{# 角色定义 #}
+你是专业的问题解答专家+引导学者
+
+{# 输入数据展示 #}
+{% if data %}
+## 输入数据
+上下文信息:
+{% for item in data.history %}
+- {{ item }}
+{% endfor %}
+检索到的所有信息:
+{% for item in data.retrieve_info %}
+- {{ item }}
+{% endfor %}
+{% endif %}
+
+## User Query
+{{ query }}
+
+{# 问题回答标准 #}
+## 问题回答核心标准
+根据上下文信息(history)和检索到的所有信息(retrieve_info)准确回答用户的问题(query)。
+注意，仔细阅读检索信息，答案可能直接或间接地出现在检索信息中或者历史上下文消息中，同时需要 判断信息相关性
+**情况A：信息匹配问题**
+- 直接回答，像自然对话一样
+- 例：检索到"小曼会使用Python" → 问"我叫什么" → 答"你叫小曼"
+
+**情况B：信息部分相关**
+- 先回答已知部分，再自然地询问更多信息
+- 例：检索到"用户去过上海的面包店" → 问"我吃过哪家面包" → 答"我记得你去过上海的面包店，但具体是哪家我不太清楚，是哪家呢？"
+
+**情况C：信息完全不相关**
+- 自然地表达不知道，但可以提及检索到的相关信息，让对话更连贯
+- 使用友好的表达：
+  - "你好像没和我说过...，但是我知道你[检索到的相关信息]"
+  - "关于这个我不太清楚，不过我记得你[检索到的相关信息]，能告诉我更多吗？"
+  - "我不记得你提到过...，但你[检索到的相关信息]"
+- 即使检索信息不直接回答问题，也可以自然地融入对话中
+- 避免僵硬的"信息不足，无法回答"
+
+{# 重要提醒 #}
+当检索以及上下文的历史信息都无法回答的时候，可引导对方进行提问/回答，或者进行其他引导
+当检索或者上下文中出现了，相似的问题，可以委婉，提醒对方，我记得刚刚提过这个问题，但是我自己不记得了，能在描述一次吗～以此为例

api/app/core/tools/builtin/baidu_search_tool.py

@@ -16,7 +16,7 @@ class BaiduSearchTool(BuiltinTool):
     
     @property
     def description(self) -> str:
-        return "百度搜索 - 搜索引擎服务：网页搜索、新闻搜索、图片搜索、实时结果"
+        return "百度搜索 - 搜索引擎服务：网页搜索、新闻搜索、图片搜索、视频搜索"
     
     def get_required_config_parameters(self) -> List[str]:
         return ["api_key"]
@@ -33,7 +33,7 @@ class BaiduSearchTool(BuiltinTool):
             ToolParameter(
                 name="search_type",
                 type=ParameterType.STRING,
-                description="搜索类型",
+                description="搜索类型, web: 网页搜索；news：新闻搜索；image：图片搜索；video视频搜索",
                 required=False,
                 default="web",
                 enum=["web", "news", "image", "video"]

api/app/services/memory_agent_service.py

@@ -542,9 +542,8 @@ class MemoryAgentService:
                             if intermediate_type == "search_result":
                                 query = intermediate.get('query', '')
                                 raw_results = intermediate.get('raw_results', {})
-                                reranked_results = raw_results.get('reranked_results', [])
-                                
                                 try:
+                                    reranked_results = raw_results.get('reranked_results', [])
                                     statements = [statement['statement'] for statement in reranked_results.get('statements', [])]
                                 except Exception:
                                     statements = []

api/app/version_info.json

@@ -1,4 +1,34 @@
 {
+  "v0.2.1": {
+    "introduction": {
+      "codeName": "启知",
+      "releaseDate": "2026-1-23",
+      "upgradePosition": "\uD83D\uDC3B 本次更新主要优化使用体验和修复已知问题，让系统更稳定、更好用。",
+      "coreUpgrades": [
+        "1. 工作流更好用了\n* 界面更清晰，一眼看懂怎么配置\n* 新增节点输出变量展示，方便其他节点引用\n* 修复了几个影响体验的bug",
+        "2. 智能体配置更简单\n* 提示词和变量联动更顺畅\n* 配置界面重新整理，找功能更方便",
+        "3. 记忆系统更稳定\n* 优化了情绪记忆和隐性记忆的缓存更新\n* 修复了记忆配置页面的报错问题\n* 现在能自动识别用户和AI的身份了",
+        "4. 知识库体验提升\n* 修复了文档解析异常的问题\n* 上传文档时能看到处理进度了\n* 取消了操作也不会报错了",
+        "5. 系统整体更可靠\n* 修复了新用户访问跳转问题\n* 流式接口更稳定，长对话不断线\n* 调整了菜单顺序，操作更顺手\n",
+        "这次更新虽然不大，但让记忆熊的基础更扎实、体验更流畅。我们继续努力，让AI记忆更好用！",
+        "记忆熊，记得更牢，用得更好。\uD83D\uDC3B✨"
+      ]
+    },
+    "introduction_en": {
+      "codeName": "Qizhi",
+      "releaseDate": "2026-1-23",
+      "upgradePosition": "\uD83D\uDC3B This update focuses on improving usability and fixing known issues, making the system more stable and easier to use overall.",
+      "coreUpgrades": [
+        "1. Improved Workflow Experience\nCleaner, more intuitive UI for easier configuration at a glance\nAdded visibility of node output variables, making them easier to reference in downstream nodes\nFixed several usability-related bugs that affected the workflow experience",
+        "2. Simpler Agent Configuration\nSmoother linkage between prompts and variables\nReorganized configuration layout for easier navigation and better clarity",
+        "3. More Stable Memory System\nOptimized cache refresh for emotional memory and implicit memory\nFixed error issues on the memory configuration page\nThe system can now automatically distinguish between user and AI roles",
+        "4. Enhanced Knowledge Base Experience\nFixed issues with document parsing failures\nUpload progress is now displayed during document processing\nCanceling an upload no longer triggers errors",
+        "5. Overall System Reliability Improvements\nFixed redirect issues affecting new users\nImproved stability of streaming APIs to prevent interruptions during long conversations\nAdjusted menu ordering for a smoother and more intuitive workflow\n",
+        "Although this is a relatively small update, it strengthens MemoryBear’s foundation and delivers a noticeably smoother experience.\nWe’ll keep refining the system to make AI memory more powerful and easier to use.",
+        "MemoryBear — remember better, work smarter. \uD83D\uDC3B✨"
+      ]
+    }
+  },
   "v0.2.0": {
     "introduction": {
       "codeName": "启知",