feat: virtual company module, team projects, PWA dishes app, and startup scripts overhaul
- Add company module (3-tier org, CEO planning, parallel departments) - Add company orchestrator, knowledge extractor, presets, scheduler - Add company API endpoints, models, and frontend views - Add 今天吃啥 PWA app (69 dishes, real images, offline support) - Add team_projects output directory structure - Add unified manage.ps1 for service lifecycle - Add Windows startup guide v1.0 - Add TTS troubleshooting doc - Update frontend (AgentChat UX overhaul, new views) - Update backend (voice engine fix, multi-tenant, RBAC) - Remove deprecated startup scripts and old docs Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@@ -381,7 +381,7 @@ class AgentRuntime:
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plan = None
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# 3. ReAct 循环
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llm = _LLMClient(self.config.llm)
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llm = _LLMClient(self.config.llm, self.compaction_engine)
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tool_schemas = self.tool_manager.get_tool_schemas()
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has_tools = self.tool_manager.has_tools()
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steps: List[AgentStep] = []
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@@ -860,7 +860,7 @@ class AgentRuntime:
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plan = None
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# 3. ReAct 循环
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llm = _LLMClient(self.config.llm)
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llm = _LLMClient(self.config.llm, self.compaction_engine)
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tool_schemas = self.tool_manager.get_tool_schemas()
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has_tools = self.tool_manager.has_tools()
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steps: List[AgentStep] = []
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@@ -1752,10 +1752,11 @@ async def _llm_cache_set(key: str, value: str, ttl_ms: int):
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class _LLMClient:
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"""轻量 LLM 客户端包装,复用已有 LLMService 能力。"""
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def __init__(self, config: Any):
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def __init__(self, config: Any, compaction_engine: Any = None):
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from app.services.llm_service import llm_service
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self._service = llm_service
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self._config = config
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self.compaction_engine = compaction_engine
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async def chat(
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self,
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