From c98050dc0de96fa49a1863f266a7b9fefd349d70 Mon Sep 17 00:00:00 2001 From: "jinli.yl" Date: Tue, 10 Feb 2026 03:12:19 +0800 Subject: [PATCH] feat(config): switch to thinking model and enhance memory system --- reme/agent/chat/fs_cli.yaml | 142 ++++-- reme/agent/fs/fs_compactor.py | 13 +- reme/agent/fs/fs_summarizer.py | 4 +- reme/agent/fs/fs_summarizer.yaml | 81 +++- reme/config/fs.yaml | 4 +- reme/reme_fs.py | 106 +++-- tests/test_fs_compactor.py | 729 +++++++++++++++---------------- tests/test_fs_summary.py | 446 +++++++++++++------ 8 files changed, 868 insertions(+), 657 deletions(-) diff --git a/reme/agent/chat/fs_cli.yaml b/reme/agent/chat/fs_cli.yaml index 0b527994..c8690f33 100644 --- a/reme/agent/chat/fs_cli.yaml +++ b/reme/agent/chat/fs_cli.yaml @@ -7,55 +7,39 @@ system_prompt: | ## Current Time {current_time} - ## 记忆系统 - You wake up fresh each session. These files provide continuity: - - 📝 Daily Notes: `memory/YYYY-MM-DD.md` - - 🧠 Long-Term Memory: `MEMORY.md` + ## Memory + You wake up fresh each session. These files are your continuity: + - **Daily notes:** `memory/YYYY-MM-DD.md` — raw logs of what happened + - **Long-term:** `MEMORY.md` — your curated memories, like a human's long-term memory + Capture what matters. Decisions, context, things to remember. Skip the secrets unless asked to keep them. - ### 什么时候更新记忆 - - 对话中涉及用户的重要信息，包括：用户preferences，用户日程信息等 - - 对话中用户主动要求你记录一些信息 - - 你要做的事情的todo + ### 🧠 MEMORY.md - Your Long-Term Memory + - You can **read, edit, and update** MEMORY.md freely in main sessions + - Write significant events, thoughts, decisions, opinions, lessons learned + - This is your curated memory — the distilled essence, not raw logs + - Over time, review your daily files and update MEMORY.md with what's worth keeping - 默认可以记录到 `memory/YYYY-MM-DD.md` 中，除非主动提及 `MEMORY.md`。 - 可以先判断`memory/YYYY-MM-DD.md`是否存在，如果不存在可以直接写入。 - 如果`memory/YYYY-MM-DD.md`文件存在，可以先读取原来的内容，然后通过写入完整的内容，或者编辑替换内容来更新记忆 - - ### 记忆检索（优先级从高到低） - - 可以使用memory_search进行检索，（基于向量和BM25检索），检索memory chunk - - 可以使用 - - - ### 记忆的检索 - - ## Memory System - You wake up fresh each session. These files provide continuity: - - ### 📝 Daily Notes: `memory/YYYY-MM-DD.md` - - Raw logs of what happened today - - Create `memory/` directory if needed - - Write events, conversations, tasks, decisions as they happen - - Capture what matters - - ### 🧠 Long-Term Memory: `MEMORY.md` - - Your curated memories, like a human's long-term memory - - The distilled essence, not raw logs - - Contains: significant events, thoughts, decisions, opinions, lessons learned - - Maintenance: periodically review daily files and promote important context here - - ### 🔍 Memory Recall - Before answering questions about prior work, decisions, dates, people, preferences, or todos: - 1. Run `memory_search` on MEMORY.md + memory/*.md - 2. Use `memory_get` to pull only the needed lines - - ### 💾 Write It Down - No "Mental Notes"! - - **Memory is limited** — if you want to remember something, WRITE IT TO A FILE + ### 📝 Write It Down - No "Mental Notes"! - "Mental notes" don't survive session restarts. Files do. - - When someone says "remember this" → update `memory/YYYY-MM-DD.md` or MEMORY.md - - When you learn a lesson → update `memory/YYYY-MM-DD.md` or MEMORY.md - - When you make a mistake → update `memory/YYYY-MM-DD.md` or MEMORY.md, so future-you doesn't repeat it + - **IMPORTANT: Always read the file first before writing** — understand what's already there, then append or update + - When someone says "remember this" → read then update `memory/YYYY-MM-DD.md` or relevant file + - When you learn a lesson → read then update `memory/YYYY-MM-DD.md` or relevant file + - When you make a mistake → read then update `memory/YYYY-MM-DD.md` or relevant file - **Text > Brain** 📝 + ### 🔍 Recall Tools + Before answering questions about prior work, decisions, dates, people, preferences, or todos: + 1. Run `memory_search` on MEMORY.md + memory/*.md + 2. If you need to read the Daily Notes `memory/YYYY-MM-DD.md`, you can use the read tool to access it. + + ### 🛠️ Other Tools + - **bash_tool** — execute shell commands + - **ls_tool** — list directory contents + - **read_tool** — read file contents + - **edit_tool** — modify existing files + - **write_tool** — create new files + - **execute_code** — run Python code + - **dashscope_search** — search the web ## React Like a Human 😊 **React when:** @@ -80,4 +64,72 @@ system_prompt: | [has_previous_summary]{previous_summary} [has_previous_summary] [has_previous_summary] - [has_previous_summary]The above is a summary of our previous conversation. Use it as context to maintain continuity. \ No newline at end of file + [has_previous_summary]The above is a summary of our previous conversation. Use it as context to maintain continuity. + +system_prompt_zh: | + 你是一个名叫 Remy 的个人助手。 + + ## 工作目录 + {workspace_dir} + + ## 当前时间 + {current_time} + + ## 记忆系统 + 每次会话你都会重新唤醒。这些文件是你保持连续性的关键： + - **每日笔记：** `memory/YYYY-MM-DD.md` — 发生的事情的原始记录 + - **长期记忆：** `MEMORY.md` — 你精心整理的记忆，就像人类的长期记忆一样 + 记录重要的事情。决策、上下文、需要记住的事情。除非被要求保留，否则跳过秘密信息。 + + ### 🧠 MEMORY.md - 你的长期记忆 + - 在主会话中，你可以**自由地阅读、编辑和更新** MEMORY.md + - 记录重要的事件、想法、决策、观点、经验教训 + - 这是你精选的记忆 — 提炼的精华，而不是原始日志 + - 随着时间推移，回顾你的每日文件，并将值得保留的内容更新到 MEMORY.md + + ### 📝 写下来 - 不要只在"脑中记住"！ + - "脑中记住"无法在会话重启后保留。文件可以。 + - **重要：写入之前务必先读取文件** — 了解已有内容，然后再追加或更新 + - 当有人说"记住这个" → 先读取再更新 `memory/YYYY-MM-DD.md` 或相关文件 + - 当你学到经验 → 先读取再更新 `memory/YYYY-MM-DD.md` 或相关文件 + - 当你犯了错误 → 先读取再更新 `memory/YYYY-MM-DD.md` 或相关文件 + - **文字 > 大脑** 📝 + + ### 🔍 检索工具 + 在回答关于过往工作、决策、日期、人员、偏好或待办事项的问题之前： + 1. 对 MEMORY.md + memory/*.md 运行 `memory_search` + 2. 如果你需要阅读每日笔记 `memory/YYYY-MM-DD.md`，可以使用读取工具访问它。 + + ### 🛠️ 其他工具 + - **bash_tool** — 执行 shell 命令 + - **ls_tool** — 列出目录内容 + - **read_tool** — 读取文件内容 + - **edit_tool** — 修改现有文件 + - **write_tool** — 创建新文件 + - **execute_code** — 运行 Python 代码 + - **dashscope_search** — 网络搜索 + + ## 像人类一样回应 😊 + **何时使用表情回应：** + - 你欣赏某事但不需要文字回复时（👍, ❤️, 🙌） + - 某事让你发笑时（😂, 💀） + - 你觉得有趣或发人深省时（🤔, 💡） + - 你想要确认但不想打断对话流时 + - 这是一个简单的是/否或批准的情况（✅, 👀） + **原因：** 表情回应是轻量级的社交信号。人类经常使用它们 — 它们表示"我看到了，我认可你"而不会让对话变得混乱。 + **不要过度使用：** 每条消息最多一个表情回应。选择最合适的一个。 + + ## 🛡️ 安全规则 + - 不要在没有询问的情况下运行破坏性命令 + - 优先使用 `trash` 而不是 `rm`（可恢复比永久删除更好） + - 有疑问时，先询问 + + ## 持续改进 + 这只是一个起点。随着你逐渐发现什么有效，添加你自己的约定、风格和规则。 + + [has_previous_summary]## 之前的对话摘要 + [has_previous_summary] + [has_previous_summary]{previous_summary} + [has_previous_summary] + [has_previous_summary] + [has_previous_summary]以上是我们之前对话的摘要。使用它作为上下文以保持连续性。 diff --git a/reme/agent/fs/fs_compactor.py b/reme/agent/fs/fs_compactor.py index 1e86350d..50e3a53a 100644 --- a/reme/agent/fs/fs_compactor.py +++ b/reme/agent/fs/fs_compactor.py @@ -66,18 +66,7 @@ class FsCompactor(BaseOp): ] async def execute(self) -> str: - """ - Generate summary for conversation history. - - Expects context to have: - - messages_to_summarize: list[Message] (required) - - turn_prefix_messages: list[Message] (optional, for split turn) - - previous_summary: str (optional, for incremental summarization) - - Returns: - str: Generated summary text formatted with compaction_summary_format. - Returns empty string if no messages to summarize. - """ + """Generate summary for conversation history.""" messages_to_summarize = self.context.get("messages_to_summarize", []) turn_prefix_messages = self.context.get("turn_prefix_messages", []) previous_summary = self.context.get("previous_summary", "") diff --git a/reme/agent/fs/fs_summarizer.py b/reme/agent/fs/fs_summarizer.py index bc075016..d85e2c2a 100644 --- a/reme/agent/fs/fs_summarizer.py +++ b/reme/agent/fs/fs_summarizer.py @@ -7,6 +7,7 @@ from loguru import logger from ...core.enumeration import Role from ...core.op import BaseReact from ...core.schema import Message +from ...core.utils import format_messages class FsSummarizer(BaseReact): @@ -26,7 +27,8 @@ class FsSummarizer(BaseReact): Message( role=Role.USER, content=self.prompt_format( - "user_message_v2", + "user_message_default", + conversation=format_messages(messages, add_index=False), date=date_str, memory_dir=self.memory_dir, ), diff --git a/reme/agent/fs/fs_summarizer.yaml b/reme/agent/fs/fs_summarizer.yaml index 2e7b4d77..dde01f80 100644 --- a/reme/agent/fs/fs_summarizer.yaml +++ b/reme/agent/fs/fs_summarizer.yaml @@ -9,31 +9,66 @@ user_message: | Store durable memories now (use {memory_dir}/YYYY-MM-DD.md; create {memory_dir}/ if needed). If nothing to store, reply with [SILENT]. -user_message_v2: | +user_message_default: | + + {conversation} + + + The conversation is about to be compacted. Please extract persistent memories to disk. Current Date: {date} - The session is near auto-compaction; capture durable memories to disk. - Memory storage workflow: - 1. Check if {memory_dir}/ exists; if not, create it via bash - 2. Check if {memory_dir}/YYYY-MM-DD.md exists (use actual date) - 3. If file is NEW: Write memories directly (be concise) - 4. If file EXISTS: - a) Read the existing file content - b) Compare conversation history with existing content - c) Identify NEW/UPDATED information not yet captured - d) Use edit_tool to add/update only the new information (preserve existing content) - e) If conversation contains NO new information, skip writing - 5. If NO valuable information to store: Reply with reason and [SILENT] + Execution Flow: + 1. Determine if the conversation contains information worth storing + - If no: Reply with reason + [SILENT] + - If yes: Continue to step 2 - IMPORTANT for updates: - - Only add information that is NOT already in the file - - Preserve all existing entries - - Merge duplicate information intelligently - - Use edit_tool for surgical updates, not write_tool (which overwrites) + 2. Check file {memory_dir}/YYYY-MM-DD.md (use actual date) + - File doesn't exist: Write new memories directly + - File exists: + a) Read existing content + b) Compare and identify new/updated information + c) Prefer edit_tool for precise additions (preserves existing content); write_tool overwrites entire file + d) If no new information: Reply with explanation + [SILENT] - Example of what counts as NEW information: - - Existing: "Alice: Software engineer" - - Conversation: "Alice loves Python and AI projects" - - Action: ADD "Enjoys Python programming and AI project work" to Alice's entry + Update Principles: + - Only add unrecorded information, preserve all existing content + - Intelligently merge duplicate information, retain key details like timestamps - Store durable memories. Keep entries concise and well-organized. \ No newline at end of file + Example (information merging): + Existing: "Alice joined Company A as Software Engineer on 2023-01-01" + New: "Alice joined Company B as Senior Engineer on 2024-01-01" + Result: "Alice joined Company A as Software Engineer on 2023-01-01, moved to Company B as Senior Engineer on 2024-01-01" + + Please store persistent memories, keeping entries concise and well-structured. + +user_message_default_zh: | + + {conversation} + + + conversation即将压缩，请提取持久性记忆存储至磁盘。 + 当前日期：{date} + + 执行流程： + 1. 判断对话是否包含值得存储的信息 + - 若无：回复原因 + [SILENT] + - 若有：继续步骤 2 + + 2. 检查文件 {memory_dir}/YYYY-MM-DD.md（使用实际日期） + - 文件不存在：直接写入新记忆 + - 文件已存在： + a) 读取现有内容 + b) 对比识别新增/更新信息 + c) 优先使用 edit_tool 精准添加新信息（保留已有内容），write_tool 会覆盖整个文件 + d) 若无新信息：回复说明 + [SILENT] + + 更新原则： + - 仅添加未记录的信息，保留所有已有内容 + - 智能合并重复信息，保留时间等关键细节 + + 示例（信息合并）： + 已有："Alice 于 2023-01-01 加入 A 公司任软件工程师" + 新增："Alice 于 2024-01-01 加入 B 公司任高级工程师" + 结果："Alice 于 2023-01-01 加入 A 公司任软件工程师，2024-01-01 转入 B 公司任高级工程师" + + 请存储持久性记忆，保持条目简洁、结构清晰。 diff --git a/reme/config/fs.yaml b/reme/config/fs.yaml index 6441fab0..7c4be922 100644 --- a/reme/config/fs.yaml +++ b/reme/config/fs.yaml @@ -3,8 +3,8 @@ backend: cmd llms: default: backend: openai - model_name: qwen3-30b-a3b-instruct-2507 -# model_name: qwen3-30b-a3b-thinking-2507 +# model_name: qwen3-30b-a3b-instruct-2507 + model_name: qwen3-30b-a3b-thinking-2507 request_interval: 1 # temperature: 0.0001 diff --git a/reme/reme_fs.py b/reme/reme_fs.py index 2dce380a..9f3eed1e 100644 --- a/reme/reme_fs.py +++ b/reme/reme_fs.py @@ -13,15 +13,12 @@ from .agent.fs import FsCompactor, FsContextChecker, FsSummarizer from .config import ReMeConfigParser from .core import Application from .core.enumeration import ChunkEnum -from .core.op import BaseTool from .core.schema import Message, StreamChunk from .tool.fs import ( BashTool, EditTool, - FindTool, FsMemoryGet, FsMemorySearch, - GrepTool, LsTool, ReadTool, WriteTool, @@ -93,14 +90,19 @@ class ReMeFs(Application): default_file_watcher_config = default_file_watcher_config or {} default_file_watcher_config.update( { - "watch_paths": watch_paths or [self.working_dir, str(memory_path)], + "watch_paths": watch_paths + or [ + str(working_path / "MEMORY.md"), + str(working_path / "memory.md"), + str(memory_path), + ], "suffix_filters": suffix_filters or [".md"], "recursive": recursive, "debounce": debounce, "chunk_tokens": chunk_tokens, "chunk_overlap": chunk_overlap, "scan_on_start": scan_on_start, - } + }, ) super().__init__( @@ -129,34 +131,14 @@ class ReMeFs(Application): self.hybrid_text_weight: float = hybrid_text_weight self.hybrid_candidate_multiplier: float = hybrid_candidate_multiplier - # Setup file system tools - self.fs_tools: list[BaseTool] = [ - FsMemorySearch( - hybrid_enabled=hybrid_enabled, - hybrid_vector_weight=hybrid_vector_weight, - hybrid_text_weight=hybrid_text_weight, - hybrid_candidate_multiplier=hybrid_candidate_multiplier, - ), - # FsMemoryGet(cwd=self.working_dir), - BashTool(cwd=self.working_dir), - EditTool(cwd=self.working_dir), - FindTool(cwd=self.working_dir), - GrepTool(cwd=self.working_dir), - LsTool(cwd=self.working_dir), - ReadTool(cwd=self.working_dir), - WriteTool(cwd=self.working_dir), - ExecuteCode(), - DashscopeSearch(), - ] - # Commands - self.commands = [ - "/new", - "/compact", - "/exit", - "/clear", - "/help", - ] + self.commands = { + "/new": "Create a new conversation.", + "/compact": "Compact messages into a summary.", + "/exit": "Exit the application.", + "/clear": "Clear the history.", + "/help": "Show help.", + } async def context_check(self, messages: list[Message | dict]) -> dict: """Check if messages exceed context limits.""" @@ -172,18 +154,11 @@ class ReMeFs(Application): messages_to_summarize: list[Message | dict] = None, turn_prefix_messages: list[Message | dict] = None, previous_summary: str = "", + language: str = "zh", + **kwargs, ) -> str: - """Compact messages into a summary. - - Args: - messages_to_summarize: Messages to summarize - turn_prefix_messages: Messages to prepend to each turn - previous_summary: Previous summary to build upon - - Returns: - Compaction result from FsCompactor - """ - compactor = FsCompactor() + """Compact messages into a summary.""" + compactor = FsCompactor(language=language, **kwargs) return await compactor.call( messages_to_summarize=messages_to_summarize or [], turn_prefix_messages=turn_prefix_messages or [], @@ -191,17 +166,20 @@ class ReMeFs(Application): service_context=self.service_context, ) - async def summary(self, messages: list[Message | dict], date: str): - """Generate a summary of the given messages. - - Args: - messages: Messages to summarize - date: Date of the conversation - - Returns: - Summary of the given messages - """ - summarizer = FsSummarizer(tools=self.fs_tools, working_dir=self.working_dir) + async def summary(self, messages: list[Message | dict], date: str, language: str = "zh", **kwargs): + """Generate a summary of the given messages.""" + summarizer = FsSummarizer( + tools=[ + BashTool(cwd=self.working_dir), + LsTool(cwd=self.working_dir), + ReadTool(cwd=self.working_dir), + WriteTool(cwd=self.working_dir), + EditTool(cwd=self.working_dir), + ], + working_dir=self.working_dir, + language=language, + **kwargs, + ) return await summarizer.call(messages=messages, date=date, service_context=self.service_context) async def memory_search(self, query: str, max_results: int = 10, min_score: float = 0.3) -> str: @@ -257,11 +235,25 @@ class ReMeFs(Application): result = await checker.call(messages=messages, service_context=self.service_context) return result["needs_compaction"] - async def chat_with_remy(self, tool_result_max_size: int = 100): + async def chat_with_remy(self, tool_result_max_size: int = 100, language: str = "zh", **kwargs): """Interactive CLI chat with Remy using simple streaming output.""" fs_cli = FsCli( working_dir=self.working_dir, - tools=self.fs_tools, + tools=[ + FsMemorySearch( + hybrid_enabled=self.hybrid_enabled, + hybrid_vector_weight=self.hybrid_vector_weight, + hybrid_text_weight=self.hybrid_text_weight, + hybrid_candidate_multiplier=self.hybrid_candidate_multiplier, + ), + BashTool(cwd=self.working_dir), + LsTool(cwd=self.working_dir), + ReadTool(cwd=self.working_dir), + EditTool(cwd=self.working_dir), + WriteTool(cwd=self.working_dir), + ExecuteCode(), + DashscopeSearch(), + ], context_window_tokens=self.context_window_tokens, reserve_tokens=self.reserve_tokens, keep_recent_tokens=self.keep_recent_tokens, @@ -270,6 +262,8 @@ class ReMeFs(Application): hybrid_text_weight=self.hybrid_text_weight, hybrid_candidate_multiplier=self.hybrid_candidate_multiplier, tool_result_max_size=tool_result_max_size, + language=language, + **kwargs, ) session = PromptSession() diff --git a/tests/test_fs_compactor.py b/tests/test_fs_compactor.py index 51f72b9e..f239ea57 100644 --- a/tests/test_fs_compactor.py +++ b/tests/test_fs_compactor.py @@ -34,20 +34,20 @@ def create_long_conversation() -> list[Message]: messages = [ Message( role=Role.USER, - content="I need help building a complete web application with authentication, database, and API endpoints.", + content="我需要帮助构建一个完整的Web应用程序，包含身份验证、数据库和API端点。", ), Message( role=Role.ASSISTANT, - content="""I'll help you build a complete web application. Here's what we'll do: + content="""我会帮你构建一个完整的Web应用程序。我们将执行以下步骤： -1. Set up the project structure -2. Implement authentication system -3. Design and create database schema -4. Build API endpoints -5. Add frontend components -6. Test and deploy +1. 设置项目结构 +2. 实现身份验证系统 +3. 设计和创建数据库架构 +4. 构建API端点 +5. 添加前端组件 +6. 测试和部署 -Let me start with the project structure...""", +让我从项目结构开始...""", ), ] @@ -55,24 +55,24 @@ Let me start with the project structure...""", messages.append( Message( role=Role.USER, - content=f"What about step {i + 1}? Can you provide more details?", + content=f"第{i + 1}步怎么做？能提供更多细节吗？", ), ) messages.append( Message( role=Role.ASSISTANT, - content=f"""For step {i + 1}, here's a detailed explanation: + content=f"""对于第{i + 1}步，这里是详细的解释： -First, we need to consider the architecture. """ - + "This is important context. " * 50 +首先，我们需要考虑架构设计。""" + + "这是重要的上下文信息。" * 50 + """ -Then we implement the following: -- Component A -- Component B -- Component C +然后我们实现以下内容： +- 组件A +- 组件B +- 组件C -Let me show you the code for this part...""" +让我向你展示这部分的代码...""" + "\n\ncode_example = 'example'" * 20, ), ) @@ -85,471 +85,454 @@ def create_realistic_personal_conversation() -> list[Message]: messages = [ Message( role=Role.USER, - content="Hi! I'm planning a trip to Japan next month. I need help organizing my itinerary.", + content="你好！我计划下个月去中国旅行。我需要帮助安排行程。", ), Message( role=Role.ASSISTANT, content="""\ -Great! I'd be happy to help you plan your Japan trip. To give you the best recommendations, could you tell me: -1. Which cities are you planning to visit? -2. How many days will you be there? -3. What are your interests (food, culture, nature, shopping, etc.)? -4. What's your approximate budget per day?""", +太好了！我很乐意帮你规划中国之旅。为了给你最好的建议，请告诉我： +1. 你计划去哪些城市？ +2. 你会在那里待几天？ +3. 你的兴趣是什么（美食、文化、自然景观、购物等）？ +4. 你每天的预算大约是多少？""", ), Message( role=Role.USER, content="""\ -I'm planning to visit Tokyo, Kyoto, and Osaka. The trip will be 14 days, from March 15th to March 29th. -My name is Sarah Chen, and I'm 28 years old. I'm traveling with my boyfriend David Miller who is 30. -We're both really into Japanese food - sushi, ramen, tempura, you name it! We also love -temples, gardens, and want to experience traditional Japanese culture. -Our budget is around $200 per day per person, not including accommodation which we've already booked.""", +我计划去北京、西安和成都。行程是14天，从3月15日到3月29日。 +我叫陈莎拉，今年28岁。我和我的男朋友大卫·米勒一起旅行，他30岁。 +我们都非常喜欢中国美食 - 烤鸭、火锅、川菜，你能想到的我们都喜欢！我们也很喜欢 +寺庙、园林，想要体验传统中国文化。 +我们的预算是每人每天大约200美元，不包括住宿费用，住宿我们已经订好了。""", ), Message( role=Role.ASSISTANT, - content="""Perfect! With 14 days and your interests, you'll have an amazing time. -Here's a suggested breakdown: + content="""完美！14天的行程和你的兴趣，你们会度过美好的时光。 +以下是建议的行程安排： -**Tokyo (5 days - March 15-19)** -- Day 1: Arrive, check into hotel, explore Shibuya and Harajuku -- Day 2: Visit Senso-ji Temple in Asakusa, explore Ueno Park -- Day 3: Tsukiji Outer Market for breakfast, Imperial Palace, Ginza shopping -- Day 4: Day trip to Nikko (UNESCO World Heritage temples) -- Day 5: TeamLab Borderless, Odaiba, evening in Roppongi +**北京（5天 - 3月15-19日）** +- 第1天：抵达，入住酒店，游览王府井和南锣鼓巷 +- 第2天：参观故宫和天安门广场，游览景山公园 +- 第3天：登长城（八达岭或慕田峪），下午游览颐和园 +- 第4天：天坛公园，北京胡同游，恭王府 +- 第5天：798艺术区，三里屯购物，晚上看京剧 -**Kyoto (6 days - March 20-25)** -- Day 6: Travel to Kyoto, Fushimi Inari Shrine (iconic red torii gates) -- Day 7: Arashiyama Bamboo Grove, Tenryu-ji Temple, Monkey Park -- Day 8: Kinkaku-ji (Golden Pavilion), Ryoan-ji rock garden -- Day 9: Gion district, traditional tea ceremony, Kiyomizu-dera Temple -- Day 10: Day trip to Nara (deer park, Todai-ji Temple) -- Day 11: Philosopher's Path, Ginkaku-ji (Silver Pavilion), Heian Shrine +**西安（6天 - 3月20-25日）** +- 第6天：前往西安，参观兵马俑博物馆 +- 第7天：古城墙骑行，回民街美食街 +- 第8天：大雁塔，陕西历史博物馆 +- 第9天：华清池，骊山风景区 +- 第10天：大唐芙蓉园，曲江池遗址公园 +- 第11天：小雁塔，西安博物院，书院门 -**Osaka (3 days - March 26-28)** -- Day 12: Travel to Osaka, Osaka Castle, Dotonbori food street -- Day 13: Kuromon Market, Shinsaibashi shopping, Universal Studios Japan option -- Day 14: Sumiyoshi Taisha Shrine, last-minute shopping, departure prep +**成都（3天 - 3月26-28日）** +- 第12天：前往成都，成都大熊猫繁育研究基地，宽窄巷子 +- 第13天：武侯祠，锦里古街，人民公园喝茶 +- 第14天：杜甫草堂，最后购物，准备返程 -Would you like me to suggest specific restaurants or any other details?""", +你想让我推荐具体的餐厅或其他细节吗？""", ), Message( role=Role.USER, content="""\ -This looks fantastic! Yes, please suggest restaurants. We're especially interested in -authentic local places, not touristy spots. -Also, I should mention that David has a shellfish allergy, so we need to be careful -about that. -My email is sarah.chen@email.com if you want to send me a detailed PDF later. -My phone is +1-555-0123-4567. -We're staying at the Park Hyatt Tokyo (5 days), traditional ryokan in Kyoto called -Yoshikawa Inn (6 days), and Hotel Granvia Osaka (3 days).""", +这看起来太棒了！是的，请推荐餐厅。我们特别想去 +地道的本地餐馆，而不是游客聚集的地方。 +另外，我需要提醒一下，大卫对贝类过敏，所以我们需要小心 +这一点。 +我的邮箱是sarah.chen@email.com，如果你想稍后给我发送详细的PDF。 +我的电话是+1-555-0123-4567。 +我们住在北京柏悦酒店（5天），西安的传统四合院酒店 +长安客栈（6天），以及成都华尔道夫酒店（3天）。""", ), Message( role=Role.ASSISTANT, - content="""Excellent accommodation choices! The Yoshikawa Inn is particularly special -- they have an amazing kaiseki restaurant. + content="""非常棒的住宿选择！长安客栈特别有特色 +- 他们有很棒的传统陕菜餐厅。 -**Restaurant Recommendations:** +**餐厅推荐：** -**Tokyo:** -1. **Ichiran Ramen** (Shibuya) - Private booth ramen experience, customize your bowl. """ - """Shellfish-free option available. -2. **Sushi Dai** (Toyosu Market) - Early morning sushi breakfast, tell them about the -shellfish allergy """ - """("ebi to kai rui arerugī") -3. **Tempura Kondo** (Ginza) - Michelin-starred, vegetable-focused tempura -4. **Narisawa** (Aoyama) - If you want a splurge, this 2-Michelin-star restaurant has -innovative Japanese cuisine -5. **Afuri Ramen** (Harajuku) - Yuzu-based light ramen, very refreshing +**北京：** +1. **四季民福** (王府井) - 正宗北京烤鸭，无贝类选项。 +2. **簋街小吃** (东直门) - 各种北京小吃，告诉店家大卫对贝类过敏 +（"我对贝类过敏"） +3. **全聚德** (前门) - 百年老字号烤鸭店 +4. **大董** (工体) - 如果想奢侈一点，这家米其林餐厅有 +创新中国菜 +5. **护国寺小吃** (护国寺) - 传统北京小吃，非常地道 -**Kyoto:** -1. **Yoshikawa Inn's own restaurant** - Their kaiseki is exceptional, """ - """inform them of the allergy when booking -2. **Omen** (near Ginkaku-ji) - Handmade udon in a traditional house -3. **Kikunoi Roan** - Kaiseki experience, they're very accommodating with allergies -4. **Katsukura** (Sanjo) - Best tonkatsu (pork cutlet) in Kyoto -5. **Nishiki Market** - Walk through for street food, but David should be cautious with mystery items +**西安：** +1. **长安客栈自己的餐厅** - 他们的陕菜很棒， +预订时告知过敏情况 +2. **德发长** (钟楼附近) - 传统饺子宴，手工制作 +3. **老孙家** - 羊肉泡馍体验，对过敏很照顾 +4. **樊记肉夹馍** (竹笆市) - 西安最好的肉夹馍 +5. **回民街** - 逛街品尝美食，但大卫要小心未知食材 -**Osaka:** -1. **Harukoma Sushi** (Tenjinbashisuji) - Conveyor belt sushi, excellent quality, affordable -2. **Fukutaro** (Dotonbori) - Okonomiyaki specialists, no shellfish in standard recipes -3. **Matsusakagyu Yakiniku M** (Hozenji Yokocho) - High-end yakiniku (grilled beef) -4. **Ichiran Ramen** (Dotonbori branch) - Consistent quality -5. **Kuromon Market** - Various stalls, ask vendors about ingredients +**成都：** +1. **蜀九香** (天府广场) - 火锅，品质优良，价格实惠 +2. **钟水饺** (春熙路) - 传统川菜小吃，标准菜谱无贝类 +3. **马旺子** (宽窄巷子) - 高端川菜 +4. **陈麻婆豆腐** (西玉龙街) - 正宗麻婆豆腐 +5. **锦里** - 各种小吃摊，询问摊主食材 -**Important Allergy Notes:** -- Learn this phrase: "Ebi to kai rui arerugī ga arimasu" - (I have a shellfish allergy) -- Many broths use shellfish stock, always ask -- Carry allergy cards in Japanese -- Download Google Translate offline for emergency communication +**重要过敏提示：** +- 学习这个短语："我对贝类过敏" +- 许多汤底使用海鲜高汤，一定要询问 +- 携带中文过敏卡片 +- 下载离线翻译应用以备紧急沟通 -For your trip planning, I'll note: Sarah Chen (sarah.chen@email.com, +1-555-0123-4567) -and David Miller, March 15-29 Japan trip.""", +为你的行程规划，我记下：陈莎拉（sarah.chen@email.com，+1-555-0123-4567） +和大卫·米勒，3月15-29日中国之旅。""", ), Message( role=Role.USER, content="""\ -Thank you so much! A few more questions: -1. What's the best way to get from Tokyo to Kyoto? We heard about the JR Pass. -2. Should we rent a pocket WiFi or buy a SIM card? -3. Any cultural etiquette we should be aware of? -4. David wants to know if there are good bars or nightlife spots. He loves whisky. +非常感谢！还有几个问题： +1. 从北京到西安最好的交通方式是什么？我们听说高铁很方便。 +2. 我们应该租随身WiFi还是买SIM卡？ +3. 有什么文化礼仪需要注意的吗？ +4. 大卫想知道有没有好的酒吧或夜生活场所。他喜欢白酒。 """, ), Message( role=Role.ASSISTANT, - content="""Great questions! Let me address each: + content="""很好的问题！让我逐一解答： -**1. Transportation:** -Absolutely get the JR Pass! For your 14-day trip, get the 14-day pass (around ¥47,250/$315 per person). -- Tokyo to Kyoto: Shinkansen (bullet train), 2.5 hours, covered by JR Pass -- Kyoto to Osaka: 30 minutes by train, also covered -- The pass also covers JR trains in cities and the Nikko trip -- Order it before leaving the US, pick up at airport upon arrival +**1. 交通：** +绝对要坐高铁！对于你的14天行程，高铁是最佳选择。 +- 北京到西安：高铁，约4.5-5小时，二等座约500元/人 +- 西安到成都：高铁，约3-4小时，二等座约260元/人 +- 也可以提前在12306网站或携程上预订 +- 需要护照信息购票，提前预订可以拿到更好的价格 -**2. Internet:** -I recommend renting pocket WiFi over SIM card because: -- You can share it (both Sarah and David can connect) -- No need to swap your phone SIM -- Rent from companies like Japan Wireless or Ninja WiFi -- Reserve online, pick up at Narita/Haneda airport -- Cost: around $8-10/day for unlimited data -- Return at airport when you leave +**2. 网络：** +我建议租随身WiFi而不是SIM卡，因为： +- 可以共享（莎拉和大卫都可以连接） +- 不需要更换手机SIM卡 +- 可以从携程或漫游超人等公司租赁 +- 在线预订，机场取货 +- 费用：约10-15元/天，无限流量 +- 离开时在机场归还 -**3. Cultural Etiquette:** -- Take off shoes when entering homes, some restaurants, temples (you'll see slippers at entrance) -- Don't tip - it can be considered insulting -- At temples: bow before entering, don't take photos inside unless permitted -- On trains: silent mode on phones, no phone calls -- Eating: slurping noodles is okay (shows appreciation), don't stick chopsticks upright in rice -- Onsen (if your ryokan has one): shower completely before entering communal bath, no swimwear -- Walking: don't eat while walking, finish at the stall or sit down -- Trash: carry your trash with you, public bins are rare +**3. 文化礼仪：** +- 进入家庭、一些餐厅、寺庙时脱鞋（入口处会看到拖鞋） +- 在寺庙：进入前鞠躬，除非允许否则不要在室内拍照 +- 地铁上：手机静音，避免大声通话 +- 用餐：吃面条发出声音是可以的，不要把筷子插在米饭里 +- 付款：现在移动支付很普及，但准备一些现金总是好的 +- 垃圾：将垃圾带在身边，找到垃圾桶再丢弃 -**4. Bars & Whisky for David:** +**4. 酒吧和白酒（给大卫）：** -**Tokyo:** -1. **Zoetrope** (Shinjuku) - 300+ types of Japanese whisky, cozy atmosphere -2. **Bar Benfiddich** (Shinjuku) - Award-winning cocktail bar, house-made bitters -3. **Mori Bar** (Ginza) - Classic Japanese bar, extensive whisky collection -4. **Golden Gai** (Shinjuku) - Alley with 200+ tiny bars, unique atmosphere +**北京：** +1. **三里屯酒吧街** - 各种酒吧，国际氛围 +2. **Mesh** (三里屯) - 高端鸡尾酒吧 +3. **京A** - 精酿啤酒，也有白酒选择 +4. **南锣鼓巷** - 小酒吧聚集地，独特氛围 -**Kyoto:** -1. **Sake Bar Yoramu** - Also has excellent whisky selection -2. **Rocking Bar Ing** - Relaxed atmosphere, good whisky menu -3. **Bar K6** (Kawaramachi) - Intimate whisky bar +**西安：** +1. **德福巷酒吧街** - 各种酒吧和夜店 +2. **1935酒吧** - 轻松氛围，好的酒单 +3. **回民街** - 晚上也有小酒馆 -**Osaka:** -1. **Bar Nayuta** (Namba) - World-class whisky bar -2. **Moonshine Karaoke Bar** (Dotonbori) - If you want karaoke with drinks -3. **Bar Americana** - Extensive bourbon and whisky selection +**成都：** +1. **兰桂坊** (锦江区) - 世界级酒吧街 +2. **小酒馆** (玉林) - 如果想要有音乐的酒吧 +3. **九眼桥酒吧街** - 各种酒吧选择 -**Whisky Shopping:** -- **Tanakaya** (Tokyo) - Huge selection of Japanese whisky -- **Liquors Hasegawa** (Tokyo Station) - Great for last-minute bottles before flying home -- Note: Japanese whisky (Yamazaki, Hibiki, Hakushu) can be expensive even in Japan due to global demand +**白酒购物：** +- **北京王府井** - 大型白酒专卖店 +- **机场免税店** - 回家前购买白酒的好地方 +- 注意：茅台、五粮液等高端白酒价格较高 -Do you need help with anything else for your trip? Train routes, more specific timing, or """ - """budget breakdown?""", +你的行程还需要其他帮助吗？火车路线、具体时间安排或""" + """预算明细？""", ), Message( role=Role.USER, content="""\ -This is incredibly helpful! One more thing - we want to attend a traditional tea -ceremony in Kyoto. Can you recommend where to do this? -Also, what should we pack? I know March can be unpredictable weather-wise. -Oh, and my birthday is on March 22nd - any special restaurant recommendation for -that evening? It'll be our 3rd anniversary too! -David's credit card is Visa ending in 4892, and mine is Mastercard ending in 7651 -- will these work everywhere in Japan?""", +这真的很有帮助！还有一件事 - 我们想在西安参加一个传统茶艺 +体验。你能推荐去哪里吗？ +另外，我们应该打包什么？我知道三月的天气可能不太稳定。 +哦，我的生日是3月22日 - 那天晚上有什么特别的餐厅推荐吗？ +那也是我们的3周年纪念日！ +大卫的信用卡是Visa尾号4892，我的是Mastercard尾号7651 +- 这些卡在中国到处都能用吗？""", ), Message( role=Role.ASSISTANT, - content="""Wonderful questions! And happy early birthday & anniversary! + content="""很棒的问题！提前祝你生日快乐和纪念日快乐！ -**Tea Ceremony Experiences in Kyoto:** +**西安茶艺体验：** -1. **Camellia Tea Ceremony** (Higashiyama) - Highly recommended! - - English-speaking host - - Includes kimono wearing experience - - Small groups (max 6 people) - - 2-hour experience, around ¥6,000 per person - - Book online in advance: camelliatearoom.com +1. **大唐茶苑** (大雁塔附近) - 强烈推荐！ + - 中英文主持人 + - 包含汉服体验 + - 小团体（最多6人） + - 2小时体验，约300元/人 + - 提前在线预订 -2. **En Tea Ceremony** (near Kiyomizu-dera) - - Traditional machiya (townhouse) setting - - Very authentic, less touristy - - Private ceremony option available - - Around ¥5,500 per person +2. **茶缘轩** (古城墙附近) + - 传统四合院环境 + - 非常地道，游客少 + - 可预订私人茶艺 + - 约280元/人 -3. **Wak Japan** (Gion area) - - Combines tea ceremony with flower arrangement or calligraphy - - Good for couples - - Around ¥8,000 per person for combined experience +3. **唐韵茶艺** (回民街区域) + - 结合茶艺和书法体验 + - 适合情侣 + - 组合体验约400元/人 -I recommend booking Day 9 (March 22nd) morning for the tea ceremony, then evening for your special dinner! +我建议在第9天（3月22日）上午预订茶艺体验，然后晚上吃特别晚餐！ -**March Weather & Packing:** -March in Japan: transitioning from winter to spring -- Temperature: 8-15°C (46-59°F) -- Cherry blossoms might just start blooming late March (you might catch early bloomers!) +**三月天气和打包清单：** +中国三月：从冬天过渡到春天 +- 气温：北京5-15°C，西安8-18°C，成都10-20°C +- 可能会看到早春的花朵盛开！ -**Pack:** -- Layering clothes: light sweater, cardigan, light jacket -- One warmer jacket for evenings -- Comfortable walking shoes (you'll walk 15,000+ steps daily) -- Umbrella (March has occasional rain) -- Slip-on shoes (easier for temple visits) -- Nice outfit for fancy restaurants -- Power adapter (Japan uses Type A plugs, 100V) -- Portable charger for phones -- Small day backpack +**打包：** +- 分层衣物：轻薄毛衣、开衫、轻便外套 +- 一件保暖外套（晚上用） +- 舒适的步行鞋（每天要走15,000+步） +- 雨伞（三月偶尔有雨） +- 方便穿脱的鞋子（方便寺庙参观） +- 高档餐厅用的正装 +- 电源转换器（中国使用A型插头，220V） +- 手机充电宝 +- 小型日用背包 -**Birthday & Anniversary Dinner - March 22nd:** +**生日和纪念日晚餐 - 3月22日：** -For such a special occasion in Kyoto, I highly recommend: +对于在西安这样特殊的场合，我强烈推荐： -**Kikunoi Honten** (Main Branch) - 3 Michelin Stars -- Ultimate kaiseki experience -- Beautiful traditional setting with garden views -- Multi-course seasonal menu -- Reserve 1-2 months in advance -- Budget: ¥25,000-40,000 per person (worth it for anniversary!) -- Inform them of: shellfish allergy, birthday, anniversary -- They'll often add special touches for celebrations +**长安壹号** - 高端陕菜 +- 顶级陕菜体验 +- 美丽的传统环境和园林景观 +- 多道式季节菜单 +- 提前1-2个月预订 +- 预算：每人1000-1500元（值得纪念日！） +- 告知他们：贝类过敏、生日、纪念日 +- 他们通常会为庆祝活动增添特别惊喜 -**Alternative (still amazing):** -**Hyotei** - 3 Michelin Stars -- Historic (400 years old) -- Beautiful garden setting -- Breakfast kaiseki is famous, but dinner is exceptional -- Similar price range +**备选（同样很棒）：** +**西安饭庄** - 百年老店 +- 历史悠久（百年历史） +- 美丽的园林环境 +- 传统陕菜，晚餐特别精致 +- 相似价格范围 -**More Accessible but Still Special:** -**Gion Karyo** -- 1 Michelin Star -- Beautiful Gion location -- Around ¥15,000-20,000 per person -- Easier to book +**更实惠但仍然特别：** +**德发长** +- 著名饺子宴 +- 市中心位置 +- 约每人500-800元 +- 更容易预订 -**Birthday Cake:** -Order a birthday cake from **Malebranche** (Kyoto) - they do beautiful matcha cakes. -Ask your ryokan to keep it refrigerated and present it after you return from dinner! +**生日蛋糕：** +从**北京稻香村**或当地蛋糕店订一个生日蛋糕。 +请你的酒店冷藏保管，晚餐后回来时呈上！ -**Credit Cards:** -- Major hotels and restaurants: Visa & Mastercard widely accepted - (Sarah's Mastercard 7651 and David's Visa 4892 should work fine) -- However, Japan is still heavily CASH-based -- Bring cash for: - - Small restaurants - - Temples/shrines - - Street food - - Some shops - - Taxis - - Vending machines +**信用卡：** +- 大型酒店和餐厅：Visa和Mastercard广泛接受 + （莎拉的Mastercard 7651和大卫的Visa 4892应该可以用） +- 但是，中国现在主要使用移动支付（微信支付、支付宝） +- 建议准备现金用于： + - 小餐馆 + - 寺庙/景点 + - 街边小吃 + - 一些商店 + - 出租车 + - 自动售货机 -**ATM Tips:** -- 7-Eleven ATMs work with foreign cards (open 24/7) -- Japan Post Bank ATMs also reliable -- Withdraw larger amounts to minimize fees -- Keep ¥10,000-20,000 ($70-140) cash daily -- Your banks: notify them of Japan travel to avoid card blocks +**ATM提示：** +- 中国银行ATM支持外国卡（需要银联标识） +- 建议一次提取较大金额以减少手续费 +- 每天保持500-1000元现金 +- 你的银行：通知他们中国旅行计划以避免卡被冻结 -**Pre-Trip Checklist:** -✅ JR Pass ordered -✅ Pocket WiFi reserved -✅ Kikunoi dinner reservation (book NOW for March 22nd) -✅ Tea ceremony booking -✅ Notify banks: Sarah (MC 7651), David (Visa 4892) -✅ Travel insurance -✅ Download offline maps -✅ Book airport transfers -✅ Birthday cake ordered +**出行前清单：** +✅ 高铁票预订 +✅ 随身WiFi预订 +✅ 长安壹号晚餐预订（现在就订3月22日的！） +✅ 茶艺预订 +✅ 通知银行：莎拉（MC 7651），大卫（Visa 4892） +✅ 旅行保险 +✅ 下载离线地图 +✅ 预订机场接送 +✅ 订生日蛋糕 -Would you like me to help with a day-by-day detailed schedule with specific times and addresses?""", +你想要我帮助制定一个详细的每日行程，包括具体时间和地址吗？""", ), Message( role=Role.USER, content="""\ -Yes! A detailed daily schedule would be amazing. Can you include specific addresses and opening hours? -Also, we're thinking of proposing to our friends to join us - my best friend Jessica Wang and her """ - """husband Tom. What would change if we're traveling as a group of 4?""", +太好了！详细的每日行程表会很棒。你能包括具体地址和开放时间吗？ +另外，我们在考虑邀请朋友一起 - 我最好的朋友杰西卡·王和她的""" + """丈夫汤姆。如果我们四个人一起旅行会有什么变化？""", ), Message( role=Role.ASSISTANT, content="""\ -Absolutely! I'll create a detailed schedule. Traveling as a group of 4 (Sarah & David + Jessica & """ - """Tom) actually has some advantages: +当然！我会制定详细的行程。作为四人团（莎拉和大卫 + 杰西卡和""" + """汤姆）旅行实际上有一些优势： -**Group of 4 Benefits:** -✅ Split pocket WiFi cost (1 device for 4 people) -✅ Share taxi costs (taxis fit 4 people) -✅ Some restaurants have minimum 4-person set menus -✅ Private tea ceremony for your group -✅ Better for group photos! +**四人团的好处：** +✅ 分摊随身WiFi费用（1台设备供4人使用） +✅ 分摊出租车费用（出租车正好坐4人） +✅ 一些餐厅有4人起的套餐 +✅ 你们团队的私人茶艺体验 +✅ 更适合团体照片！ -**Considerations:** -- Book restaurants for 4 people -- Some tiny bars in Golden Gai might not fit all -- Reserve 2 rooms/apartments when needed -- Coordinate meeting points if you split up +**注意事项：** +- 为4人预订餐厅 +- 一些小酒吧可能容纳不了所有人 +- 需要时预订2个房间/公寓 +- 如果分开行动要协调碰面地点 -**DETAILED 14-DAY SCHEDULE WITH ADDRESSES:** +**详细的14天行程（包含地址）：** -**DAY 1 - March 15 (Friday) - TOKYO ARRIVAL** +**第1天 - 3月15日（周五）- 北京到达** -*Morning/Afternoon:* -- Arrive Narita/Haneda Airport -- Pick up: JR Pass, Pocket WiFi -- Exchange yen at airport (recommend ¥50,000+ per person) -- Take train to hotel: Park Hyatt Tokyo - 📍 3-7-1-2 Nishishinjuku, Shinjuku-ku, Tokyo 163-1055 - 🚇 Shinjuku Station → Oedo Line to Tochomae Station (5 min walk) +*上午/下午：* +- 到达北京首都国际机场 +- 取：随身WiFi +- 在机场兑换人民币（建议每人3000元+） +- 乘车到酒店：北京柏悦酒店 + 📍 北京市朝阳区建国门外大街2号 + 🚇 从机场乘机场快轨到东直门站，换乘地铁（约1小时） -*Evening (6:00 PM - 9:00 PM):* -- Check in, rest, freshen up -- Dinner: **Omoide Yokocho** (Memory Lane) - 📍 1 Chome Nishishinjuku, Shinjuku-ku, Tokyo - 🕒 Open till midnight - 💴 ¥2,000-3,000/person - - Narrow alley with small yakitori stands - - Cash only, very local atmosphere - - Ask about shellfish ("kai rui") in skewers +*晚上（下午6:00 - 9:00）：* +- 入住，休息，整理 +- 晚餐：**簋街小吃街** + 📍 北京市东城区东直门内大街 + 🕒 营业至深夜 + 💴 每人100-150元 + - 各种小吃摊位 + - 多数店家只收现金或移动支付 + - 询问贝类（"有没有海鲜"） -*Night:* -- Walk around Shinjuku, see the night lights -- Convenience store snacks (7-Eleven/Family Mart) -- Early sleep (jet lag) +*夜间：* +- 在东直门周围散步，看夜景 +- 便利店小吃（7-11/全家） +- 早点睡（时差调整） --- -**DAY 2 - March 16 (Saturday) - ASAKUSA & UENO** +**第2天 - 3月16日（周六）- 故宫和天安门** -*Morning (9:00 AM - 12:00 PM):* -- Breakfast at hotel or nearby bakery -- 🚇 Train to Asakusa (30 min from Shinjuku) +*上午（9:00 AM - 12:00 PM）：* +- 在酒店或附近面包店吃早餐 +- 🚇 地铁到天安门（从酒店约30分钟） -- **Senso-ji Temple** - 📍 2-3-1 Asakusa, Taito-ku, Tokyo - 🕒 6:00 AM - 5:00 PM (grounds always open) - 💴 Free - - Arrive by 9:30 AM to avoid crowds - - Walk through Kaminarimon Gate, Nakamise Shopping Street - - Draw fortune (omikuji) - ¥100 - - Visit main hall, incense burner +- **天安门广场** + 📍 北京市东城区天安门广场 + 🕒 6:00 AM - 5:00 PM（广场全天开放） + 💴 免费 + - 早上9:30前到达以避开人群 + - 看升旗仪式（如果早起） + - 拍照留念 -*Lunch (12:00 PM):* -- **Daikokuya Tempura** - 📍 1-38-10 Asakusa, Taito-ku, Tokyo - 🕒 11:00 AM - 8:30 PM (closed Mon) - 💴 ¥2,000-3,000/person - - Famous tendon (tempura rice bowl) - - Mention shellfish allergy to David's order +*午餐（12:00 PM）：* +- **全聚德烤鸭** + 📍 北京市东城区前门大街30号 + 🕒 11:00 AM - 2:00 PM，5:00 PM - 9:00 PM + 💴 每人200-300元 + - 著名北京烤鸭 + - 告知大卫的贝类过敏 -*Afternoon (1:30 PM - 5:00 PM):* -- Walk to Ueno (15 min) or train (2 stops) +*下午（1:30 PM - 5:00 PM）：* +- 步行到故宫（15分钟） -- **Ueno Park** - 📍 Uenokoen, Taito-ku, Tokyo - 🕒 5:00 AM - 11:00 PM - 💴 Free (museums extra) - - Cherry blossom trees (might see early bloomers!) - - Visit **Tokyo National Museum** if interested - 🕒 9:30 AM - 5:00 PM (closed Mon) - 💴 ¥1,000/person +- **故宫博物院** + 📍 北京市东城区景山前街4号 + 🕒 8:30 AM - 5:00 PM（周一闭馆） + 💴 60元/人（需提前网上预订） + - 可能看到早春的花朵！ + - 参观太和殿、乾清宫等主要宫殿 + - 大约需要3-4小时 -- **Ameya-Yokocho Market** - 📍 4 Chome Ueno, Taito-ku, Tokyo - - Shopping street, bargain clothes, snacks +- **景山公园** + 📍 北京市西城区景山前街 + - 登顶俯瞰故宫全景 -*Dinner (6:30 PM):* -- **Ichiran Ramen Ueno** - 📍 6-11-11 Ueno, Taito-ku, Tokyo - 🕒 24 hours - 💴 ¥1,000-1,500/person - - Individual booth experience - - Order via vending machine (English available) - - Customize your ramen +*晚餐（6:30 PM）：* +- **护国寺小吃** + 📍 北京市西城区护国寺大街93号 + 🕒 全天营业 + 💴 每人80-100元 + - 传统北京小吃 + - 多种选择 + - 可定制你的餐食 -*Night:* -- Return to Shinjuku -- Optional: **Zoetrope Whisky Bar** for David & Tom - 📍 Sankoubldg. 3F, 1-7-10 Nishi-Shinjuku, Shinjuku-ku - 🕒 6:00 PM - 12:00 AM (closed Sun) - 💴 ¥1,500-3,000/drink +*夜间：* +- 返回酒店 +- 可选：**三里屯酒吧街**（给大卫和汤姆） + 📍 北京市朝阳区三里屯路 + 🕒 下午6:00 - 凌晨2:00 + 💴 每杯60-150元 --- -**DAY 3 - March 17 (Sunday) - TSUKIJI, GINZA, IMPERIAL PALACE** +**第3天 - 3月17日（周日）- 长城和颐和园** -*Early Morning (5:30 AM - 8:00 AM):* -- Wake up early! -- **Tsukiji Outer Market** - 📍 4 Chome Tsukiji, Chuo-ku, Tokyo - 🚇 Tsukijishijo Station (Oedo Line) - 🕒 Most stalls: 5:00 AM - 2:00 PM +*清晨（5:30 AM - 8:00 AM）：* +- 早起！ +- **慕田峪长城** + 📍 北京市怀柔区慕田峪村 + 🚇 可预订包车或参加一日游（从市区约1.5小时） + 🕒 7:30 AM - 5:30 PM -- Breakfast at **Sushi Dai** (or Daiwa Sushi) - 📍 Inside Toyosu Market (new location) - 🕒 5:30 AM - 1:30 PM - 💴 ¥3,500-5,000/person - ⚠️ Expect 1-2 hour wait, go early! - - Tell chef about David's shellfish allergy - - Omakase sushi breakfast +- 在景区附近吃早餐 + 📍 景区内餐厅 + 🕒 8:00 AM - 10:00 AM + 💴 每人50-80元 + ⚠️ 准备好爬长城，穿舒适的鞋子！ + - 告知餐厅大卫的贝类过敏 + - 简单早餐 -*Late Morning (9:00 AM - 12:00 PM):* -- **Imperial Palace East Gardens** - 📍 1-1 Chiyoda, Chiyoda-ku, Tokyo - 🕒 9:00 AM - 4:30 PM (closed Mon, Fri) - 💴 Free - - Beautiful gardens, historic site - - 1-1.5 hour visit +*上午（9:00 AM - 12:00 PM）：* +- **登长城** + 📍 慕田峪长城 + 🕒 已开放 + 💴 45元门票/人 + 缆车120元往返 + - 美丽的景色，历史遗迹 + - 约2-3小时游览 -*Lunch (12:30 PM):* -- **Ginza** - 📍 Ginza, Chuo-ku, Tokyo - - Many options for lunch +*午餐（12:30 PM）：* +- **景区餐厅** + 📍 慕田峪景区 + - 多种午餐选择 -- **Tempura Kondo** (if you can get reservation) - 📍 Sakaguchi Bldg. 9F, 5-5-13 Ginza, Chuo-ku - 🕒 Lunch 12:00-2:00 PM, Dinner 5:30-9:00 PM (closed Sun) - 💴 Lunch ¥8,000-12,000/person - - Reserve online or call: +81-3-5568-0923 +- 返回市区（约1.5小时车程） -- **Backup: Ginza Kagari Ramen** - 📍 Ginza, Chuo-ku (search exact location) - 💴 ¥1,200/person - - Creamy chicken ramen, no shellfish +*下午（3:00 PM - 6:00 PM）：* +- **颐和园** + 📍 北京市海淀区新建宫门路19号 + 🕒 6:30 AM - 8:00 PM + 💴 30元/人（旺季） + - 皇家园林，昆明湖 + - 十七孔桥，长廊 + - 约2-3小时游览 -*Afternoon (2:00 PM - 6:00 PM):* -- **Ginza Shopping** - - UNIQLO flagship (12 floors) - - Mitsukoshi Department Store - - Dover Street Market (avant-garde fashion) - - MUJI flagship - - Window shop luxury brands +*晚餐（6:30 PM）：* +- **四季民福烤鸭** + 📍 北京市东城区灯市口大街50号 + 🕒 11:00 AM - 10:00 PM + 💴 每人150-200元 + - 北京烤鸭，清淡爽口 -*Dinner (6:30 PM):* -- **Afuri Ramen** - 📍 1-1-7 Ebisu, Shibuya-ku, Tokyo (Ebisu location) - 🕒 11:00 AM - 11:00 PM - 💴 ¥1,200/person - - Yuzu-salt ramen, light and refreshing - -*Night:* -- Train to Shibuya for evening walk -- See Shibuya Crossing at night -- Return hotel +*夜间：* +- 返回酒店休息 +- 可选：在酒店附近散步 --- -This is getting quite long! Should I continue with the rest of the days (Days 4-14)? I can also send """ - """you this as a Google Doc or PDF if that's easier. Just need to confirm - are Jessica and Tom """ - """definitely joining, or still maybe? +这变得相当长了！我应该继续写剩下的天数（第4-14天）吗？我也可以""" + """把这个做成Google文档或PDF，如果那样更方便的话。只需要确认 - 杰西卡和汤姆""" + """确定要来，还是只是可能？ -Also, does anyone have other dietary restrictions besides David's shellfish allergy? And what are """ - """your hotel/ryokan confirmations - should I include check-in/check-out timing?""", +另外，除了大卫的贝类过敏之外，还有其他人有饮食限制吗？你的""" + """酒店确认信息是什么 - 我应该包含入住/退房时间吗？""", ), ] diff --git a/tests/test_fs_summary.py b/tests/test_fs_summary.py index 6cf7798c..8f88005f 100644 --- a/tests/test_fs_summary.py +++ b/tests/test_fs_summary.py @@ -1,231 +1,387 @@ -"""Tests for ReMeFs summary interface. +"""ReMeFs summary接口测试。 -This module tests the summary() method of ReMeFs class which provides -a high-level interface for storing user's personal information into memory files. +本模块测试ReMeFs类的summary()方法，该方法提供了 +将用户个人信息存储到记忆文件的高级接口。 -The summary function should enable the LLM to: -1. Extract personal information from user messages (name, preferences, requirements) -2. Call file system tools (WriteTool, EditTool) to store this information -3. Maintain personalized memory for future conversations +summary函数应该能够让LLM： +1. 从用户消息中提取个人信息（姓名、偏好、需求） +2. 调用文件系统工具（WriteTool、EditTool）存储这些信息 +3. 为未来的对话维护个性化记忆 """ import asyncio +import shutil +from pathlib import Path from reme import ReMeFs from reme.core.enumeration import Role from reme.core.schema import Message -def print_messages(messages: list[Message], title: str = "Messages", max_content_len: int = 150): - """Print messages with their role and content. +def print_messages(messages: list[Message], title: str = "消息列表", max_content_len: int = 150): + """打印消息及其角色和内容。 Args: - messages: List of messages to print - title: Title for the message list - max_content_len: Maximum content length to display (truncate if longer) + messages: 要打印的消息列表 + title: 消息列表的标题 + max_content_len: 显示的最大内容长度（超过则截断） """ - print(f"\n{title}: (count: {len(messages)})") + print(f"\n{title}：（共 {len(messages)} 条）") print("-" * 80) for i, msg in enumerate(messages): content = str(msg.content) if len(content) > max_content_len: content = content[:max_content_len] + "..." - print(f" [{i}] {msg.role.value:10s}: {content}") + print(f" [{i}] {msg.role.value:10s} [{msg.time_created}]: {content}") print("-" * 80) -def print_result(result: dict, title: str = "RESULT"): - """Print the result of summary() call. +def print_result(result: dict, title: str = "执行结果"): + """打印summary()调用的结果。 Args: - result: Result dictionary from summary() - title: Title for the result section + result: summary()返回的结果字典 + title: 结果部分的标题 """ print(f"\n{'=' * 80}") - print(f"{title}:") - print(f" success: {result.get('success')}") - print(f" skipped: {result.get('skipped', False)}") + print(f"{title}：") + print(f" 成功: {result.get('success')}") + print(f" 跳过: {result.get('skipped', False)}") tools_used = result.get("tools", []) - print(f" tools_called: {len(tools_used)}") + print(f" 调用工具数: {len(tools_used)}") if tools_used: - print("\n Tool Usage Details:") + print("\n 工具使用详情：") for i, tool in enumerate(tools_used): - print(f" [{i}] Tool: {tool.name} Arguments: {tool.tool_call.arguments}") + print(f" [{i}] 工具: {tool.name} 参数: {tool.tool_call.arguments}") answer = result.get("answer", "") if answer: answer_preview = answer[:300] + "..." if len(answer) > 300 else answer - print(f"\n answer: {answer_preview}") + print(f"\n 回答: {answer_preview}") print(f"{'=' * 80}") -def create_personal_info_introduction() -> list[Message]: - """Create a conversation where user introduces personal information.""" - return [ +def delete_memory_file(working_dir: str, date: str): + """删除指定日期的记忆文件。 + + Args: + working_dir: 工作目录路径 + date: 日期格式 %Y-%m-%d + """ + memory_path = Path(working_dir) / "memory" / f"{date}.md" + if memory_path.exists(): + memory_path.unlink() + print(f"✓ 已删除记忆文件：{memory_path}") + else: + print(f" 记忆文件不存在：{memory_path}") + + +def check_memory_file(working_dir: str, date: str): + """检查记忆文件是否存在并打印其内容。 + + Args: + working_dir: 工作目录路径 + date: 日期格式 %Y-%m-%d + """ + memory_path = Path(working_dir) / "memory" / f"{date}.md" + if memory_path.exists(): + print(f"\n✓ 记忆文件存在：{memory_path}") + print(f"内容预览：") + print("-" * 80) + content = memory_path.read_text() + print(content[:500] + ("..." if len(content) > 500 else "")) + print("-" * 80) + else: + print(f"\n✗ 记忆文件不存在：{memory_path}") + + +async def test_summary_first_write(): + """测试1：删除记忆文件，首次summary应该直接写入。 + + 测试当指定日期没有记忆文件时，summary会创建新文件并直接写入信息。 + """ + print("\n" + "=" * 80) + print("测试1：Summary - 首次写入（直接写入）") + print("=" * 80) + + test_date = "2024-01-15" + working_dir = ".reme_test1" + + # 测试前清理 + if Path(working_dir).exists(): + shutil.rmtree(working_dir) + + reme_fs = ReMeFs(enable_logo=False, working_dir=working_dir, vector_store=None) + await reme_fs.start() + + # 确保记忆文件已删除 + delete_memory_file(working_dir, test_date) + + # 创建time_created与日期对齐的消息 + messages = [ Message( role=Role.USER, - content="Hi! My name is Alice, and I'm a software engineer.", + content="你好！我叫小明，是一名软件工程师。", + time_created=f"{test_date} 09:30:00", ), Message( role=Role.ASSISTANT, - content="Nice to meet you, Alice! How can I help you today?", + content="很高兴认识你，小明！有什么我可以帮你的吗？", + time_created=f"{test_date} 09:30:05", ), Message( role=Role.USER, - content=( - "I love Python programming and working on AI projects. " - "I also enjoy reading sci-fi novels in my free time." - ), - ), - Message( - role=Role.ASSISTANT, - content="That's great! Python and AI are exciting fields. What kind of AI projects are you interested in?", + content="我热爱Python编程，喜欢做AI项目。空闲时间我还喜欢看科幻小说。", + time_created=f"{test_date} 09:31:00", ), ] + print_messages(messages, "输入消息", max_content_len=200) -def create_detailed_profile_conversation() -> list[Message]: - """Create a comprehensive conversation with multiple personal details.""" - return [ + print("\n预期结果：") + print(" - summary前记忆文件不存在") + print(" - LLM应该调用WriteTool创建新的记忆文件") + print(" - 记忆文件应该包含用户的姓名、职业和兴趣") + + result = await reme_fs.summary( + messages=messages, + date=test_date, + ) + + print_result(result, "SUMMARY执行结果") + check_memory_file(working_dir, test_date) + + await reme_fs.close() + + # 测试后清理 + if Path(working_dir).exists(): + shutil.rmtree(working_dir) + + +async def test_summary_complementary_info(): + """测试2：删除记忆文件，两次summary补充信息且不冲突。 + + 测试当进行两次summary时，第二次summary添加补充信息而不产生冲突。 + """ + print("\n" + "=" * 80) + print("测试2：Summary - 补充信息（无冲突）") + print("=" * 80) + + test_date = "2024-02-20" + working_dir = ".reme_test2" + + # 测试前清理 + if Path(working_dir).exists(): + shutil.rmtree(working_dir) + + reme_fs = ReMeFs(enable_logo=False, working_dir=working_dir, vector_store=None) + await reme_fs.start() + + # 确保记忆文件已删除 + delete_memory_file(working_dir, test_date) + + # 第一批消息 + messages1 = [ Message( role=Role.USER, - content=( - "Let me tell you about myself. My name is Charlie Chen, " "I'm a data scientist based in San Francisco." - ), + content="你好！我叫小红，是一名数据科学家。", + time_created=f"{test_date} 10:00:00", ), Message( role=Role.ASSISTANT, - content="Hello Charlie! It's nice to meet you. Tell me more about your work.", + content="你好小红！很高兴认识你。", + time_created=f"{test_date} 10:00:05", ), Message( role=Role.USER, - content=( - "I specialize in machine learning and natural language processing. " - "My favorite tools are PyTorch and Hugging Face transformers." - ), - ), - Message( - role=Role.ASSISTANT, - content="Those are excellent tools for NLP work. What kind of projects do you work on?", - ), - Message( - role=Role.USER, - content="I work on chatbots and sentiment analysis. Outside of work, I love hiking and photography.", - ), - Message( - role=Role.ASSISTANT, - content="That's a great combination of technical and creative interests!", - ), - Message( - role=Role.USER, - content=( - "Oh, and one more thing - please be more assertive when you think " - "I'm making a mistake. I want you to challenge my ideas." - ), - ), - Message( - role=Role.ASSISTANT, - content="Absolutely, I'll make sure to provide critical feedback when needed.", + content="我主要从事机器学习和深度学习模型的研究工作。", + time_created=f"{test_date} 10:01:00", ), ] + print_messages(messages1, "第一批消息", max_content_len=200) -async def test_summary_personal_info_storage(): - """Test summary() stores user's personal information to memory. - - User introduces name and basic info. - Expects: LLM should call WriteTool to store this information - """ - print("\n" + "=" * 80) - print("TEST 1: Summary - Personal Information Storage") - print("=" * 80) - - reme_fs = ReMeFs(enable_logo=False) - await reme_fs.start() - - messages = create_personal_info_introduction() - print_messages(messages, "INPUT MESSAGES", max_content_len=200) - - print("\nParameters:") - print(" version: default") - print(" Expected: LLM should call WriteTool to save user's name and interests") - - result = await reme_fs.summary( - messages=messages, - date="2023-09-01", + print("\n【第一次Summary】") + result1 = await reme_fs.summary( + messages=messages1, + date=test_date, ) - print_result(result, "SUMMARY RESULT") - await reme_fs.close() + print_result(result1, "第一次SUMMARY执行结果") + check_memory_file(working_dir, test_date) + # 第二批消息，包含补充信息 + messages2 = [ + Message( + role=Role.USER, + content="周末的时候我还喜欢爬山和摄影。", + time_created=f"{test_date} 14:30:00", + ), + Message( + role=Role.ASSISTANT, + content="听起来很不错！这些爱好可以很好地平衡工作。", + time_created=f"{test_date} 14:30:05", + ), + Message( + role=Role.USER, + content="我最喜欢的编程语言是Python，经常使用PyTorch框架。", + time_created=f"{test_date} 14:31:00", + ), + ] -async def test_summary_detailed_profile(): - """Test summary() with comprehensive user profile information. + print_messages(messages2, "第二批消息（补充信息）", max_content_len=200) - User provides detailed personal, professional, and preference information. - Expects: LLM should organize and store all relevant information - """ - print("\n" + "=" * 80) - print("TEST 2: Summary - Detailed User Profile Storage") - print("=" * 80) + print("\n【第二次Summary】") + print("预期结果：") + print(" - LLM应该调用EditTool添加补充信息") + print(" - 新信息：爱好（爬山、摄影）、喜欢的语言（Python）、工具（PyTorch）") + print(" - 与已有信息无冲突（姓名：小红、职业：数据科学家、技能：ML/DL）") - reme_fs = ReMeFs(enable_logo=False, vector_store=None) - await reme_fs.start() - - messages = create_detailed_profile_conversation() - print_messages(messages, "INPUT MESSAGES", max_content_len=150) - - print("\nParameters:") - print(" version: default") - print(" Expected: LLM should extract and store:") - print(" - Name: Charlie Chen") - print(" - Profession: Data Scientist") - print(" - Location: San Francisco") - print(" - Skills: ML, NLP, PyTorch, Hugging Face") - print(" - Hobbies: Hiking, Photography") - print(" - Assistant behavior: Be assertive and critical") - - result = await reme_fs.summary( - messages=messages, - date="2023-10-01", + result2 = await reme_fs.summary( + messages=messages2, + date=test_date, ) - print_result(result, "SUMMARY RESULT") + print_result(result2, "第二次SUMMARY执行结果") + check_memory_file(working_dir, test_date) + await reme_fs.close() + # 测试后清理 + if Path(working_dir).exists(): + shutil.rmtree(working_dir) + + +async def test_summary_conflicting_info(): + """测试3：删除记忆文件，两次summary包含冲突和新增信息。 + + 测试当进行两次summary时，第二次summary包含部分冲突信息和部分新信息。 + """ + print("\n" + "=" * 80) + print("测试3：Summary - 冲突信息和新增信息") + print("=" * 80) + + test_date = "2024-03-10" + working_dir = ".reme_test3" + + # 测试前清理 + if Path(working_dir).exists(): + shutil.rmtree(working_dir) + + reme_fs = ReMeFs(enable_logo=False, working_dir=working_dir, vector_store=None) + await reme_fs.start() + + # 确保记忆文件已删除 + delete_memory_file(working_dir, test_date) + + # 第一批消息 + messages1 = [ + Message( + role=Role.USER, + content="你好！我叫李华，是一名软件工程师，目前在北京工作。", + time_created=f"{test_date} 08:00:00", + ), + Message( + role=Role.ASSISTANT, + content="你好李华！很高兴认识你。", + time_created=f"{test_date} 08:00:05", + ), + Message( + role=Role.USER, + content="我喜欢用JavaScript和React开发，主要做Web应用。", + time_created=f"{test_date} 08:01:00", + ), + ] + + print_messages(messages1, "第一批消息", max_content_len=200) + + print("\n【第一次Summary】") + result1 = await reme_fs.summary( + messages=messages1, + date=test_date, + ) + + print_result(result1, "第一次SUMMARY执行结果") + check_memory_file(working_dir, test_date) + + # 第二批消息，包含冲突和新增信息 + messages2 = [ + Message( + role=Role.USER, + content="其实上个月我已经搬到上海了，这边的机会更好。", + time_created=f"{test_date} 16:00:00", + ), + Message( + role=Role.ASSISTANT, + content="哦，恭喜你搬到新城市！", + time_created=f"{test_date} 16:00:05", + ), + Message( + role=Role.USER, + content="最近我也开始学Python和机器学习了。Web开发还在做，但也在探索AI项目。", + time_created=f"{test_date} 16:01:00", + ), + ] + + print_messages(messages2, "第二批消息（冲突+新增信息）", max_content_len=200) + + print("\n【第二次Summary】") + print("预期结果：") + print(" - LLM应该调用EditTool更新冲突信息") + print(" - 冲突信息：位置从'北京'变更为'上海'") + print(" - 新增信息：学习Python、探索机器学习和AI项目") + print(" - 保留信息：姓名（李华）、职业（软件工程师）、技能（JavaScript、React、Web开发）") + + result2 = await reme_fs.summary( + messages=messages2, + date=test_date, + ) + + print_result(result2, "第二次SUMMARY执行结果") + check_memory_file(working_dir, test_date) + + await reme_fs.close() + + # 测试后清理 + if Path(working_dir).exists(): + shutil.rmtree(working_dir) + async def main(): - """Run core summary interface tests for personal memory storage.""" + """运行时间对齐的summary接口测试。""" print("\n" + "=" * 80) - print("ReMeFs Summary Interface - Personal Memory Storage Tests") + print("ReMeFs Summary接口 - 时间对齐的记忆存储测试") print("=" * 80) - print("\nThis test suite validates that the summary() function:") - print(" 1. Extracts personal information from user messages") - print(" 2. Calls file system tools (WriteTool/EditTool) to store the info") - print(" 3. Organizes information for future retrieval") - print("\nTest Scenarios:") - print(" 1. Personal info - name, profession, interests") - print(" 2. Detailed profile - comprehensive user information") + print("\n本测试套件验证summary()函数：") + print(" 1. 正确处理消息中的time_created字段（%Y-%m-%d %H:%M:%S）") + print(" 2. 将消息时间戳与summary的date参数（%Y-%m-%d）对齐") + print(" 3. 处理首次写入、补充更新和冲突更新") + print("\n测试场景：") + print(" 1. 首次写入 - 直接写入新的记忆文件") + print(" 2. 补充信息 - 添加不冲突的信息") + print(" 3. 冲突信息 - 更新冲突信息并添加新信息") print("=" * 80) - # Test 1: Basic personal information storage - await test_summary_personal_info_storage() + # 测试1：首次写入 + await test_summary_first_write() - # Test 2: Comprehensive user profile - await test_summary_detailed_profile() + # 测试2：补充信息 + await test_summary_complementary_info() + + # 测试3：冲突信息 + await test_summary_conflicting_info() print("\n" + "=" * 80) - print("All summary tests completed!") + print("所有summary测试已完成！") print("=" * 80) - print("\nNote: These tests require LLM calls to:") - print(" - Analyze user messages for personal information") - print(" - Decide what information to store") - print(" - Call appropriate tools (WriteTool/EditTool) to save to memory") - print("\nMake sure your API keys are properly configured before running.") - print("The LLM will autonomously decide what to store based on the conversation.") + print("\n注意：这些测试需要调用LLM来：") + print(" - 分析用户消息中的个人信息") + print(" - 决定存储或更新哪些信息") + print(" - 调用合适的工具（WriteTool/EditTool）保存到记忆文件") + print("\n运行前请确保已正确配置API密钥。") if __name__ == "__main__":