52 lines
1.3 KiB
Markdown
52 lines
1.3 KiB
Markdown
# Agent Completion Research Site
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中文研究文档,用网页呈现“Agent 如何证明完成、验证器怎样误判、失败后如何恢复”的
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全文审计结论。
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首页是当前研究结论,旧的 K1412 Agent Evaluation v1 说明页保留在:
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```text
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/evaluation-v1.html
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```
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网页是阅读层,事实源仍是:
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- `research/completion-verification/findings.md`
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- `research/completion-verification/evidence-ledger.md`
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## Build Evidence Data
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证据浏览器由 Markdown 账本确定性生成:
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```bash
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python3 evaluation-site/build_research_data.py
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python3 evaluation-site/build_research_data.py --check
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```
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`tools/check_project.py` 会检查生成数据的 SHA-256、40 篇全文池、37 篇审计记录和
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26 篇核心证据,防止网页与研究源漂移。
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## Local Preview
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```bash
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python3 -m http.server 4173 --directory evaluation-site
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```
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打开:
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```text
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research document: http://127.0.0.1:4173/
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archived v1 report: http://127.0.0.1:4173/evaluation-v1.html
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```
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## Production
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- app slug: `agent-eval`
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- container port: `8080`
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- health path: `/health`
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- public URL: `https://agent-eval.k1412.top/`
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- deployment: k1412 Unraid Compose Manager
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- NAS host port: `12005`
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生产部署必须使用不可变镜像,并在这里和项目状态文档中记录最终 tag。
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