89 lines
3.8 KiB
Markdown
89 lines
3.8 KiB
Markdown
# Session: 2026-03-15 15:01:30 UTC
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- **Session Key**: agent:knowledge-base:main
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- **Session ID**: 66c8ed24-257c-4c62-ad84-c0912acb2c47
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- **Source**: feishu
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## Conversation Summary
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assistant: ✅ New session started · model: zhipu/glm-5
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user: A new session was started via /new or /reset. Execute your Session Startup sequence now - read the required files before responding to the user. Then 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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assistant: 收到，蒋先生。我来处理这个B站视频，添加到知识库。
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assistant: 📚 蒋先生，新的一天开始了。作为您的私人秘书，我已准备好协助您处理工作和生活中的各项事务。请问今天有什么需要我帮助的？
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user: Note: The previous agent run was aborted by the user. Resume carefully or ask for clarification.
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Conversation info (untrusted metadata):
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```json
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{
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"message_id": "om_x100b545cca14e8a4c4dcc592a9c425d",
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"sender_id": "ou_9351c287f42069fa30366ac641d24df7",
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"sender": "张青",
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"timestamp": "Sun 2026-03-15 18:22 GMT+8"
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}
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```
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Sender (untrusted metadata):
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```json
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{
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"label": "张青 (ou_9351c287f42069fa30366ac641d24df7)",
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"id": "ou_9351c287f42069fa30366ac641d24df7",
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"name": "张青"
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}
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```
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[message_id: om_x100b545cca14e8a4c4dcc592a9c425d]
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张青: 【2-3月宏观经济运行状态复盘与推演 + 2026年政府工作报告解读 | 【阿周的Eureka】-哔哩哔哩】 https://b23.tv/NGR0Ul5 添加到知识库
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assistant: 好的，蒋先生。我来将这个B站视频添加到知识库。
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assistant: 已安排代理处理深度分析任务，正在生成分析报告...
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assistant: ✅ 深度分析完成！正在归档到知识库...
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assistant: ✅ **完成！**
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**标题:** 2-3月宏观经济运行状态复盘与推演 + 2026年政府工作报告解读
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**作者:** 阿周的Eureka
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**时长:** 7:16
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**处理结果:**
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- 解析: ✅ B站视频 BV16cNMzpExh
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- 元数据: ✅ 已提取
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- 内容: ✅ 已获取字幕
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- 深度分析: ✅ 完成
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- 归档: ✅ ~/work/zq/30.资源/AI分析/2026-03-15/
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**摘要:**
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本视频对2026年2-3月宏观经济数据进行复盘，结合政府工作报告解读全年政策基调。主要涵盖：物价系统温和回暖、社融创新高、PMI走势、财政货币政策方向，以及对房地产和基建投资的分析推演。
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user: Conversation info (untrusted metadata):
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```json
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{
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"message_id": "om_x100b545c9fd988a4b4bcc03ec7b3368",
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"sender_id": "ou_9351c287f42069fa30366ac641d24df7",
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"sender": "张青",
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"timestamp": "Sun 2026-03-15 18:42 GMT+8"
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}
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```
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Sender (untrusted metadata):
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```json
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{
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"label": "张青 (ou_9351c287f42069fa30366ac641d24df7)",
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"id": "ou_9351c287f42069fa30366ac641d24df7",
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"name": "张青"
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}
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```
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[message_id: om_x100b545c9fd988a4b4bcc03ec7b3368]
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张青: https://www.zhihu.com/question/1936375725931361485/answer/2003232153480226496?share_code=P3Sg6A8B8rNK&utm_psn=2016585020039517457 添加到知识库
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assistant: 已安排代理处理深度分析任务...
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assistant: ✅ **完成！**
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**标题:** 怎么成为一个 AI Agent 工程师？
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**平台:** 知乎问答
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**处理结果:**
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- 解析: ✅ 知乎问答
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- 内容获取: ✅ 已提取
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- 深度分析: ✅ 完成
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- 归档: ✅ ~/work/zq/30.资源/AI分析/2026-03-15/
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**摘要:**
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文章分享了从机械专业转行成为 AI Agent 工程师的实战经验。核心路径：1) 掌握大模型 API 调用与提示词控制；2) 学会让模型调用工具（检索、函数执行）；3) 解决工程化问题（上下文管理、稳定性）；4) 用具体项目成果量化简历能力。
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