auto backup 2026-04-28 08:10:01
This commit is contained in:
parent
cfb32ae659
commit
87f8fdb2df
@ -1 +1 @@
|
||||
751
|
||||
760
|
||||
5
memory/2026-04-27-0821.md
Normal file
5
memory/2026-04-27-0821.md
Normal file
@ -0,0 +1,5 @@
|
||||
# Session: 2026-04-27 08:21:58 UTC
|
||||
|
||||
- **Session Key**: agent:xiaokui:feishu:direct:ou_088ee79216826be4a24af44f7268f880
|
||||
- **Session ID**: 825131a3-5730-4e55-84c7-889a198b6e0e
|
||||
- **Source**: feishu
|
||||
83
memory/2026-04-27-request-timed-out-before-a-res.md
Normal file
83
memory/2026-04-27-request-timed-out-before-a-res.md
Normal file
@ -0,0 +1,83 @@
|
||||
# Session: 2026-04-27 08:29:56 UTC
|
||||
|
||||
- **Session Key**: agent:xiaokui:feishu:direct:ou_088ee79216826be4a24af44f7268f880
|
||||
- **Session ID**: 5c5edad3-7178-4762-ae0e-a444a5afcbd1
|
||||
- **Source**: feishu
|
||||
|
||||
## Conversation Summary
|
||||
|
||||
assistant: ✅ New session started · model: cloudsway/MaaS_Cl_Opus_4.6_20260205_cache (default: volcengine/doubao-seed-2-0-pro-260215)
|
||||
user: System: [2026-04-27 16:09:50 GMT+8] Feishu[xiaokui] DM | 李若松 (ou_088ee79216826be4a24af44f7268f880) [msg:om_x100b51c5d215d8b0b39c6d58edb8124]
|
||||
System: [2026-04-27 16:10:46 GMT+8] Feishu[xiaokui] DM | 李若松 (ou_088ee79216826be4a24af44f7268f880) [msg:om_x100b51c5ee99f4a4b343b6165ebefc5]
|
||||
System: [2026-04-27 16:10:46 GMT+8] Model switched to deepseekv4 (deepseek/deepseek-v4-pro).
|
||||
System: [2026-04-27 16:21:51 GMT+8] Feishu[xiaokui] DM | 李若松 (ou_088ee79216826be4a24af44f7268f880) [msg:om_x100b51c587297884b3b6bbc00c3ed23]
|
||||
System: [2026-04-27 16:21:51 GMT+8] Model switched to opus (cloudsway/MaaS_Cl_Opus_4.6_20260205_cache).
|
||||
System: [2026-04-27 16:21:58 GMT+8] Feishu[xiaokui] DM | 李若松 (ou_088ee79216826be4a24af44f7268f880) [msg:om_x100b51c58490048cb3dc6c687b08798]
|
||||
|
||||
A new session was started via /new or /reset. Run your Session Startup sequence - 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.
|
||||
Current time: Monday, April 27th, 2026 — 4:21 PM (Asia/Shanghai) / 2026-04-27 08:21 UTC
|
||||
assistant:
|
||||
|
||||
Let me run the session startup sequence.
|
||||
assistant: Now let me identify the sender.
|
||||
assistant: 当前消息来自李若松(ou_088ee79216826be4a24af44f7268f880),根据USER.md,李若松的user_id是`4aagb443`,是技术负责人,拥有最高权限。身份确认完毕。
|
||||
|
||||
若松,当前用的是 Opus 模型(默认模型是 doubao-seed-2-0-pro)。有什么需要处理的?
|
||||
user: System: [2026-04-27 16:29:02 GMT+8] Feishu[xiaokui] DM | 李若松 (ou_088ee79216826be4a24af44f7268f880) [msg:om_x100b51c5aa1be880b4c4218503a24dc]
|
||||
|
||||
Conversation info (untrusted metadata):
|
||||
```json
|
||||
{
|
||||
"message_id": "om_x100b51c5aa1be880b4c4218503a24dc",
|
||||
"sender_id": "ou_088ee79216826be4a24af44f7268f880",
|
||||
"sender": "李若松",
|
||||
"timestamp": "Mon 2026-04-27 16:29 GMT+8"
|
||||
}
|
||||
```
|
||||
|
||||
Sender (untrusted metadata):
|
||||
```json
|
||||
{
|
||||
"label": "李若松 (ou_088ee79216826be4a24af44f7268f880)",
|
||||
"id": "ou_088ee79216826be4a24af44f7268f880",
|
||||
"name": "李若松"
|
||||
}
|
||||
```
|
||||
|
||||
我们要进行一项大工程:
|
||||
构建一个 互动组件配置json生成的 skill。
|
||||
|
||||
目标是: 给定一个规范的原始剧本格式,根据其中给定的 组件类型、知识点、组件配置,
|
||||
|
||||
进行以下工作:
|
||||
-组件类型匹配
|
||||
-知识点匹配
|
||||
-互动组件 AI衍生字段生产 (关键提示词,在skill文件夹内部 单独列出来)
|
||||
-组件配置json生成
|
||||
|
||||
这里的中间数据 和 最终 配置数据 可以考虑先写入本地的数据库。
|
||||
|
||||
后续会开发 html展示 和 数据推送到 公司数据库的skill。
|
||||
|
||||
这个skill是一个大工程, 可以先建立对应的目录, 我们一步步拆解、验证。
|
||||
assistant: 明白,这是一个系统性工程。先建目录结构,然后我们逐步拆解。
|
||||
|
||||
在动手之前,我需要先对齐几个关键信息:
|
||||
|
||||
**1. 输入侧 — 原始剧本格式**
|
||||
- 原始剧本是什么格式?(飞书文档/Excel/JSON/其他)
|
||||
- 能否提供一份样例剧本,让我理解字段结构?
|
||||
|
||||
**2. 组件体系**
|
||||
- "互动组件"有哪些类型?(比如选择题、拖拽、填空、对话等)
|
||||
- 每种组件的配置JSON结构是否有现成的规范文档?
|
||||
- "知识点"是预定义的知识点库,还是从剧本中提取?
|
||||
|
||||
**3. AI衍生字段**
|
||||
- "AI衍生字段"具体指什么?(比如根据知识点自动生成干扰项、提示语、评分标准?)
|
||||
- 有没有已有的示例,展示从原始剧本到最终配置JSON的完整转换过程?
|
||||
|
||||
**4. 本地数据库**
|
||||
- 用现有的MySQL(vala_test库),还是用SQLite做本地轻量存储?
|
||||
|
||||
先把这些搞清楚,我同步把目录框架建好。你可以直接甩文档或样例过来。
|
||||
Loading…
Reference in New Issue
Block a user