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__":