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Add teaching Python agent CLI with Poetry and CI
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docs/16-python-implementation-notes.md
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docs/16-python-implementation-notes.md
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# 16. Python 实现注意事项
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## 1. 实现原则
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目标不是逐字复刻原实现,而是用 Python 重建同样的产品能力结构。
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## 2. 模块建议
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建议 Python 项目按以下模块拆:
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- `runtime/`:query loop, orchestration
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- `messages/`:message schemas
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- `tools/`:tool registry and execution
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- `permissions/`:permission engine
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- `memory/`:memory loading and retrieval
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- `tasks/`:background task model
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- `storage/`:transcript and session persistence
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- `agents/`:agent definitions
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- `extensions/`:skills/plugins/mcp
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- `verification/`:verification runner
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## 3. 推荐先用的数据模型
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优先用:
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- `pydantic` / `dataclasses` 定义消息与状态
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- `sqlite` 或 JSONL 先做 transcript
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- 明确的 service 层代替隐式全局状态
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## 4. 不要过早做的事
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- 不要先优化 UI
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- 不要先做复杂并发
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- 不要先支持十几种 agent
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- 不要把 memory 做成向量库重系统
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## 5. 第一阶段的最佳目标
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先做出一个:
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- 结构清晰
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- transcript 可回放
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- message 模型稳定
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- verification 能跑
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- compact 能工作
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的 Python core runtime。
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## 6. 推荐里程碑
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### Milestone 1
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- message model
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- query loop
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- basic tools
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- transcript
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### Milestone 2
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- permissions
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- memory
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- resume
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- compact
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### Milestone 3
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- verification agent
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- simple skill loading
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- background local agent tasks
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### Milestone 4
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- MCP / plugin minimal support
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- worktree isolation
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- richer UI
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