Update project and configurations

intelligent_cabin/app/schemas/chat.py

@@ -0,0 +1,46 @@
+from __future__ import annotations
+
+from typing import Any, Literal
+
+from pydantic import BaseModel, Field
+
+from app.schemas.debug import RoutingDebug
+from app.schemas.workflow import Workflow
+
+
+class ChatRequest(BaseModel):
+    session_id: str
+    user_id: str
+    channel: str = "app"
+    input_text: str
+    input_type: Literal["text", "voice"] = "text"
+    metadata: dict[str, Any] = Field(default_factory=dict)
+
+
+class FillSlotsRequest(BaseModel):
+    session_id: str
+    user_id: str
+    input_text: str
+
+
+class ChatResponse(BaseModel):
+    session_id: str
+    reply_type: Literal["text", "ask_slot", "ask_confirmation", "workflow_result", "fallback", "clarify", "reject"] = "text"
+    reply_text: str
+    intent: str | None = None
+    domain: str | None = None
+    decision: str | None = None
+    decision_reason: str | None = None
+    status: str
+    pending_slots: list[str] = Field(default_factory=list)
+    filled_slots: dict[str, Any] = Field(default_factory=dict)
+    workflow: Workflow | None = None
+    routing_debug: RoutingDebug | None = None
+    first_response_latency_ms: float | None = None
+    total_latency_ms: float | None = None
+    processing_breakdown: dict[str, float] = Field(default_factory=dict)
+    trace_id: str
+    # ── 知识库查询结果（LLM function call 命中时填充）──────────────────────────
+    knowledge_doc_id: str | None = None     # 知识文档 ID（MD 文件名）
+    knowledge_doc_title: str | None = None  # 知识文档标题
+    knowledge_content: str | None = None    # 完整 MD 正文，供前端渲染知识卡片