feat: protocol generation — LLM integration, prompt templates, Celery task

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

backend/app/schemas/protocol.py

@@ -0,0 +1,30 @@
+import uuid
+from datetime import datetime
+from typing import Any
+
+from pydantic import BaseModel
+
+from app.models.protocol import ProtocolStatus
+
+
+class ProtocolResponse(BaseModel):
+    id: uuid.UUID
+    transcription_id: uuid.UUID
+    template_id: uuid.UUID
+    content: dict[str, Any]
+    raw_text: str
+    llm_model: str
+    status: ProtocolStatus
+    created_at: datetime
+    updated_at: datetime
+
+    model_config = {"from_attributes": True}
+
+
+class ProtocolList(BaseModel):
+    items: list[ProtocolResponse]
+    total: int
+
+
+class ProtocolRegenerate(BaseModel):
+    template_id: uuid.UUID | None = None