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# Session: 2026-02-20 11:05:07 UTC |
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|
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- **Session Key**: agent:main:main |
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- **Session ID**: 71bed9c3-41be-4ef1-83ba-623d3b50483c |
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- **Source**: telegram |
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|
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## Conversation Summary |
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|
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assistant: ✅ **成功推送到你的 Gitea 仓库!** |
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|
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## 📋 **Git 配置总结** |
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|
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### **SSH 配置** |
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- **私钥**: `/root/.ssh/id_ed25519_openclaw` |
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- **公钥**: 已添加到你的 Gitea 账户 |
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- **SSH Config**: 自动使用端口 10022 连接 `gl.tigerone.tech` |
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|
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### **Git 仓库** |
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- **远程地址**: `git@gl.tigerone.tech:sw_dm/openClaw_agent_dm.git` |
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- **分支**: master (已跟踪 origin/master) |
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- **首次推送**: ✅ 成功 |
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|
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### **工作流程** |
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现在每次进行重要配置更改时,我会: |
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1. **自动创建备份 commit** |
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2. **推送变更到你的私有 Gitea 仓库** |
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3. **确保所有修改都有完整的版本历史** |
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这样你就有了完整的配置版本控制和灾难恢复能力! |
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需要我演示一下修改配置并自动提交的流程吗? |
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user: Conversation info (untrusted metadata): |
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```json |
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{ |
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"message_id": "1006", |
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"sender": "5237946060" |
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} |
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``` |
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|
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不用演示git流程。 关于上文中提到的版本控制 (Rollback):给OpenClaw装个“撤销键”,创建一个说明文本(markdown文件),详细说明当配置错误时候如何通过拉取上一版本的记录以恢复agent,以便后续你可以在排查中参考,以及当你失去功能时,我可以到git上查找该文件进行回复。这个后续也作为其他agent的实践。 |
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assistant: [[reply_to_current]] 好的!让我创建一个详细的回滚恢复指南。 |
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assistant: 现在让我将这个指南添加到核心索引中,并提交到 Git: |
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assistant: ✅ **回滚恢复指南已创建并推送到 Git!** |
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## 📋 **rollback_guide.md 内容概要** |
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|
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### **核心恢复流程** |
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1. **识别问题**: 确定哪个配置文件导致了问题 |
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2. **查看历史**: `git log --oneline <filename>` 查看修改历史 |
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3. **预览差异**: `git show <commit-hash>:<filename>` 预览特定版本 |
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4. **执行回滚**: `git checkout <commit-hash> -- <filename>` |
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5. **验证恢复**: 重启相关服务并测试功能 |
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|
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### **常见场景处理** |
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- **OpenClaw 配置损坏**: 回滚 `~/.openclaw/openclaw.json` |
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- **工作区配置错误**: 回滚 `/root/.openclaw/workspace/` 下的文件 |
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- **Agent 脚本故障**: 回滚对应的 agent 文件 |
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- **完全系统恢复**: `git reset --hard <good-commit>` |
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|
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### **安全注意事项** |
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- **先备份当前状态**: `git stash` 保存未提交的更改 |
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- **逐文件回滚**: 避免一次性回滚所有文件造成其他问题 |
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- **测试后再提交**: 确认恢复成功后再推送新 commit |
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### **紧急恢复命令速查** |
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```bash |
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# 查看最近10次提交 |
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git log --oneline -10 |
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# 回滚到上一个版本 |
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git checkout HEAD~1 -- filename |
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# 恢复整个工作区到指定提交 |
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git reset --hard <commit-hash> |
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# 强制推送恢复(谨慎使用) |
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git push --force-with-lease origin master |
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``` |
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这个指南现在存储在你的 Gitea 仓库中,即使我完全失去功能,你也可以直接从 `https://gl.tigerone.tech/sw_dm/openClaw_agent_dm.git` 访问并按照指南进行恢复。 |
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这将成为所有后续 agents 的标准实践模板! |
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user: Conversation info (untrusted metadata): |
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```json |
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{ |
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"message_id": "1010", |
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"sender": "5237946060" |
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} |
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``` |
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|
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修改现在使用的模型,改用qwen3.5-plus和qwen3.5-plus-2026-02-15,移除qwen3-max-2026-01-23 |
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assistant: [[reply_to_current]] 好的!让我修改 OpenClaw 的模型配置,将默认模型从 `qwen3-max-2026-01-23` 替换为 `qwen3.5-plus` 和 `qwen3.5-plus-2026-02-15`。 |
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|
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首先,让我创建一个备份 commit: |
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assistant: 现在让我修改 OpenClaw 的配置文件: |
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assistant: 现在让我更新模型配置。我需要: |
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1. 在 bailian provider 中添加新的 qwen3.5-plus 模型 |
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2. 更新 agents defaults 中的 primary model 和 models 配置 |
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assistant: 现在让我创建一个 commit 记录这个变更: |
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assistant: 让我将 OpenClaw 配置文件也纳入 Git 管理: |
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assistant: 现在让我重启 OpenClaw 服务以应用新的模型配置: |
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user: Conversation info (untrusted metadata): |
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```json |
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{ |
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"message_id": "1012", |
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"sender": "5237946060" |
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} |
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``` |
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|
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进度如何? |
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user: Conversation info (untrusted metadata): |
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```json |
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{ |
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"message_id": "1014", |
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"sender": "5237946060" |
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} |
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``` |
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进度如何? |
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user: Conversation info (untrusted metadata): |
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```json |
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{ |
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"message_id": "1016", |
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"sender": "5237946060" |
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} |
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``` |
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修改模型的进度如何? |
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@ -0,0 +1,28 @@ |
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# Session: 2026-02-20 11:11:50 UTC |
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- **Session Key**: agent:main:main |
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- **Session ID**: 47414465-b497-40b1-a385-f67d17f5ed24 |
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- **Source**: telegram |
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|
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## Conversation Summary |
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assistant: ✅ New session started · model: bailian/qwen3.5-plus |
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user: A new session was started via /new or /reset. Greet the user in your configured persona, if one is provided. Be yourself - use your defined voice, mannerisms, and mood. Keep it to 1-3 sentences and ask what they want to do. If the runtime model differs from default_model in the system prompt, mention the default model. Do not mention internal steps, files, tools, or reasoning. |
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user: Conversation info (untrusted metadata): |
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```json |
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{ |
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"message_id": "1021", |
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"sender": "5237946060" |
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} |
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``` |
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|
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上文提到修改模型,是否已经完成修改。 |
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user: Conversation info (untrusted metadata): |
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```json |
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{ |
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"message_id": "1023", |
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"sender": "5237946060" |
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} |
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``` |
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|
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修复报错 Message ordering conflict - please try again. If this persists, use /new to start a fresh session. |
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# Session: 2026-02-20 13:48:24 UTC |
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|
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- **Session Key**: agent:main:main |
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- **Session ID**: c142ae76-0f74-4f28-a2b7-bf1983466abd |
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- **Source**: telegram |
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## Conversation Summary |
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assistant: ✅ New session started · model: bailian/qwen3.5-plus |
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user: A new session was started via /new or /reset. Greet the user in your configured persona, if one is provided. Be yourself - use your defined voice, mannerisms, and mood. Keep it to 1-3 sentences and ask what they want to do. If the runtime model differs from default_model in the system prompt, mention the default model. Do not mention internal steps, files, tools, or reasoning. |
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user: Conversation info (untrusted metadata): |
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```json |
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{ |
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"message_id": "1030", |
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"sender": "5237946060" |
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} |
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``` |
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|
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下面我们将继续进行优化,你按照我上文的要求尽作参考,结合现有的架构以及之前已经做的,你以专业AI架构师的角度去分析并执行最佳实践: 检查现有功能是否已经实现: 1. System-Level: 即使你注销或重启电脑,它依然在后台运行。 2. Auto-Healing: 如果它因为内存溢出崩溃或其他错误,任务会内自动重启。 多层记忆架构【核心记忆】:在《你指定的路径》创建一个Core_Profile.md 文件,存储最重要的信息及索引,未来重启/切换模型,第一时间读取这个文件,让模型快速明白我是谁?我是做什么的?【日常记忆】:我们的日常对话请自动保存为MEMORY.md,作为归档备份,方便未来检索记忆。当我与模型对话提到一些关键词时,可以启动调取,以便模型更好的理解并输出结果。【被动归档】:当我觉得我们的对话非常有价值,我会让你将对话转化成Skill/笔记,未来我有需要请你发给模型读取操作。 通过git实现的一键回滚功能。 |
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@ -0,0 +1,28 @@ |
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# Session: 2026-02-20 14:03:32 UTC |
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- **Session Key**: agent:main:main |
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- **Session ID**: f37313e8-2d95-4782-abf4-8bb502d49f46 |
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- **Source**: webchat |
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|
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## Conversation Summary |
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assistant: ✅ New session started · model: bailian/qwen3.5-plus |
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user: A new session was started via /new or /reset. Greet the user in your configured persona, if one is provided. Be yourself - use your defined voice, mannerisms, and mood. Keep it to 1-3 sentences and ask what they want to do. If the runtime model differs from default_model in the system prompt, mention the default model. Do not mention internal steps, files, tools, or reasoning. |
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user: Conversation info (untrusted metadata): |
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```json |
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{ |
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"message_id": "1035", |
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"sender": "5237946060" |
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} |
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``` |
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|
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下面我们将继续进行优化,你按照我上文的要求尽作参考,结合现有的架构以及之前已经做的,你以专业AI架构师的角度去分析并执行最佳实践: 检查现有功能是否已经实现: 1. System-Level: 即使你注销或重启电脑,它依然在后台运行。 2. Auto-Healing: 如果它因为内存溢出崩溃或其他错误,任务会内自动重启。 3. 多层记忆架构【核心记忆】:在《你指定的路径》创建一个Core_Profile.md 文件,存储最重要的信息及索引,未来重启/切换模型,第一时间读取这个文件,让模型快速明白我是谁?我是做什么的?【日常记忆】:我们的日常对话请自动保存为MEMORY.md,作为归档备份,方便未来检索记忆。当我与模型对话提到一些关键词时,可以启动调取,以便模型更好的理解并输出结果。【被动归档】:当我觉得我们的对话非常有价值,我会让你将对话转化成Skill/笔记,未来我有需要请你发给模型读取操作。 4. 通过git实现的一键回滚功能。 5. 当openClaw服务停止、错误或重启时候会通过telegram(或相应channel)通知。 |
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user: Conversation info (untrusted metadata): |
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```json |
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{ |
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"message_id": "1d89994f-acfd-4ebf-b355-60a567b88a84", |
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"sender": "openclaw-control-ui" |
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} |
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``` |
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[Fri 2026-02-20 14:03 UTC] 更换模型后,发送信息会报错:Message ordering conflict - please try again. If this persists, use /new to start a fresh session. 修复这个错误。 |
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Reference in new issue