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Add hard forwarding protocol for execution-agent updates
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- Current important exception / newer rule: **codex_worker** should use **primary** = `openai-codex/gpt-5.4`, prefer high/extra/xhigh thinking when available, and should **not auto-fallback** to another model. If its primary model is unavailable, report to Tao and let Tao decide the replacement model.
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- Current important exception / newer rule: **codex_worker** should use **primary** = `openai-codex/gpt-5.4`, prefer high/extra/xhigh thinking when available, and should **not auto-fallback** to another model. If its primary model is unavailable, report to Tao and let Tao decide the replacement model.
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- Additional long-lived execution agents initialized locally for repeat use: **docs_worker**, **qa_worker**, **ops_worker**.
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- Additional long-lived execution agents initialized locally for repeat use: **docs_worker**, **qa_worker**, **ops_worker**.
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- Execution-agent system needs a standardized dispatch/handoff layer: task input template, result format, blocker/escalation rules, and a **main-to-Tao forwarding rule**.
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- Execution-agent system needs a standardized dispatch/handoff layer: task input template, result format, blocker/escalation rules, and a **main-to-Tao forwarding rule**.
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- New hard rule: when an execution agent reports acceptance, milestone progress, blocker, or completion, **main must update Tao first before continuing with review/commit/next-step work**. If worker completion is not forwarded, treat that as a main-process failure rather than “still working”.
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- **Hard reporting/forwarding protocol (must-follow):**
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- Worker events that require immediate Tao-visible updates (no “I’ll summarize later”): **accepted**, **milestone result**, **blocked/failed**, **completion**, **agent switch decision**, **transition to review/commit/release**.
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- **Ordering constraint:** when a worker reports milestone/completion, main’s *first* action is to update Tao; only then proceed to review/commit/next dispatch.
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- **Failure definition:** if a worker has already reported completion and main has not forwarded it to Tao, that is a **main process failure**, not “task still in progress”.
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- Default 4-line update template: **who / status / output / next**.
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## 8) Watchdog / automation policy
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## 8) Watchdog / automation policy
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- Tao preference: avoid watchdog-style auto-restart automation.
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- Tao preference: avoid watchdog-style auto-restart automation.
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# 2026-03-08
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## Main ↔ execution agent 回包强制汇报协议(新增硬规则)
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Tao 指出问题本质:不是 worker 卡住,而是 main 没把“worker 已回包”当成必须立刻对 Tao 可见的状态变化。
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### 强制汇报事件(state-change triggers)
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只要出现任一情况,main 必须立刻向 Tao 汇报,不能继续闷头做后续工作:
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- 执行 Agent 已接单
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- 执行 Agent 给出里程碑结果
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- 执行 Agent blocked / failed
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- 执行 Agent 完成一轮交付
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- main 决定切换到另一个 Agent
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- main 决定从执行转入 review / commit / release
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### 转发义务(顺序硬约束)
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执行 Agent 一旦回 milestone/completion:
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1) main 的第一动作必须是给 Tao 发状态更新
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2) 然后才能做 review / commit / 下一步分派
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顺序不能反。
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### 极简汇报模板(默认 4 行)
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- 谁:哪个 Agent
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- 状态:ok / blocked / failed
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- 产出:改了什么
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- 下一步:我准备怎么接
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### 失败定义(狠规则)
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若执行 Agent 已经回包而 main 未向 Tao 转述:
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- 视为 main 的流程失败
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- 不是“任务还在进行中”
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### 建议的任务状态枚举(未来状态面板用)
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- planned
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- dispatched
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- in_progress
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- blocked
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- reviewing
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- done
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Next: 把以上规则写入长期记忆(MEMORY.md)并补进 execution-agent-dispatch skill。
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