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>

backend/app/agent_runtime/core.py

@@ -381,7 +381,7 @@ class AgentRuntime:
                 plan = None
 
         # 3. ReAct 循环
-        llm = _LLMClient(self.config.llm)
+        llm = _LLMClient(self.config.llm, self.compaction_engine)
         tool_schemas = self.tool_manager.get_tool_schemas()
         has_tools = self.tool_manager.has_tools()
         steps: List[AgentStep] = []
@@ -860,7 +860,7 @@ class AgentRuntime:
                 plan = None
 
         # 3. ReAct 循环
-        llm = _LLMClient(self.config.llm)
+        llm = _LLMClient(self.config.llm, self.compaction_engine)
         tool_schemas = self.tool_manager.get_tool_schemas()
         has_tools = self.tool_manager.has_tools()
         steps: List[AgentStep] = []
@@ -1752,10 +1752,11 @@ async def _llm_cache_set(key: str, value: str, ttl_ms: int):
 class _LLMClient:
     """轻量 LLM 客户端包装，复用已有 LLMService 能力。"""
 
-    def __init__(self, config: Any):
+    def __init__(self, config: Any, compaction_engine: Any = None):
         from app.services.llm_service import llm_service
         self._service = llm_service
         self._config = config
+        self.compaction_engine = compaction_engine
 
     async def chat(
         self,

backend/app/agent_runtime/orchestrator.py

@@ -136,7 +136,7 @@ class OrchestratorAgentConfig(BaseModel):
     model: str = Field(default="deepseek-v4-flash")
     provider: str = Field(default="deepseek")
     temperature: float = 0.7
-    max_iterations: int = 10
+    max_iterations: int = 15
     tools: List[str] = Field(default_factory=list, description="工具白名单，空=全部")
     description: str = Field(default="", description="Agent 专长描述（路由模式用）")
 

backend/app/agent_runtime/schemas.py

@@ -71,7 +71,7 @@ class AgentLLMConfig(BaseModel):
     max_tokens: Optional[int] = None
     api_key: Optional[str] = None
     base_url: Optional[str] = None
-    max_iterations: int = 10        # ReAct 循环最大步数
+    max_iterations: int = 15        # ReAct 循环最大步数
     request_timeout: float = 120.0
     extra_body: Optional[Dict[str, Any]] = None
     self_review_threshold: float = 0.6  # self-review 通过阈值（0-1）