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feat(config): switch to thinking model and enhance memory system

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jinli.yl 2026-02-10 03:12:19 +08:00
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142
reme/agent/chat/fs_cli.yaml
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@ -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]</previous-summary>
[has_previous_summary]
[has_previous_summary]The above is a summary of our previous conversation. Use it as context to maintain continuity.
[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]<previous-summary>
[has_previous_summary]{previous_summary}
[has_previous_summary]</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。

13
reme/agent/fs/fs_compactor.py
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@ -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", "")

4
reme/agent/fs/fs_summarizer.py
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@ -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,
),

81
reme/agent/fs/fs_summarizer.yaml
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@ -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>
{conversation}
</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.
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}
</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。

4
reme/config/fs.yaml
View file

@ -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

106
reme/reme_fs.py
View file

@ -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()

729
tests/test_fs_compactor.py
View file

@ -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？""",
),
]

446
tests/test_fs_summary.py
View file

@ -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__":