feat(engine): the manager — chat orders, team, triage, verdicts, bootstrap
Phase 3 of the AI-workforce engine (TODO-agent-2): - engine/manager.py: ManagerTurns.chat (CREATE_TASK/PAUSE/RESUME/CANCEL, HIRE/UPDATE_EMPLOYEE/FIRE, KNOWLEDGE), triage (ASSIGN/REJECT/ASK_USER), final_review (COMPLETE/REVISE +cycle), error_review (RESOLVE_ERROR/CANCEL), bootstrap_team; post_user_message now delegates to it. - One billing path: call_model/BillingScope in runner.py is the single model entry point (fixes the agybot chat-billing bug). - Team changes capped at 3/turn, employee cap, last manager cannot be fired, hires pick a granted model of the requested tier strictly. - container_engine.py wires the real WorkforceBootstrapPort. - Fixes: REVISE is a body tag (prompt and parser now agree); ASSIGN employee="" means pick-for-me; the runner's protocol-error retry is capped by engine_max_protocol_retries (was unbounded until the turn timeout). - 20 new manager tests + regression tests; report in docs/plan/reports/agent-2-phase-3.md.
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@@ -59,6 +59,8 @@ _PROTOCOL_HINTS: dict[tuple[RoleKey, Mode], str] = {
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"تو مدیر هستی و کار را ارزیابی میکنی.\n"
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"برچسبهای مجاز:\n"
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'[[ASSIGN employee="نام کارمند" pipeline="plan_code_test"/]]\n'
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'اگر خودت باید کارمند را انتخاب کنی، بنویس [[ASSIGN employee="" '
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'pipeline="plan_code_test"/]] تا کممشغولترین انتخاب شود.\n'
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"[[REJECT reason=\"دلیل\"/]]\n"
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"[[ASK_USER]]سؤالت را اینجا بنویس[[/ASK_USER]]\n"
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'[[KNOWLEDGE kind="rule" key="..."]]قاعدهای که یاد گرفتی[[/KNOWLEDGE]]\n'
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@@ -92,7 +94,8 @@ _PROTOCOL_HINTS: dict[tuple[RoleKey, Mode], str] = {
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'[[KNOWLEDGE kind="rule|fact" key="..."]'
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"]]متن[[/KNOWLEDGE]]\n"
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"پاسخ متنیات برای کاربر نمایش داده میشود؛ برچسبها کنارش اجرا میشوند. "
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"کارها را اتمیک بساز و نگو که کدام فایلها را همزمان تغییر میدهند."
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"کارها را اتمیک بساز و طوری تقسیم کن که دو کار همزمان فایلهای یکسان را "
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"تغییر ندهند."
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),
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(RoleKey.PLANNER, Mode.WORK): (
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"تو برنامهریز هستی.\n"
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