feat: Initialize FastAPI AI Gateway project structure with authentication, module management, and LLM API routing.

app/api/endpoints/storyline.py

@@ -0,0 +1,33 @@
+from fastapi import APIRouter, Depends, Request
+from app.api.deps import get_api_key
+from app.core.limiter import limiter
+from app.core.config import settings
+from pydantic import BaseModel
+
+router = APIRouter()
+
+class ChatRequest(BaseModel):
+    prompt: str
+    context: str = ""
+
+@router.post("/chat")
+@limiter.limit(settings.RATE_LIMIT)
+async def story_chat(
+    request: Request,
+    chat_data: ChatRequest,
+    api_key: str = Depends(get_api_key)
+):
+    # This is where you would call your LLM (OpenAI, Anthropic, etc.)
+    # For now, we return a mock response
+    return {
+        "status": "success",
+        "response": f"Processed prompt: {chat_data.prompt}",
+        "metadata": {
+            "characters_received": len(chat_data.prompt),
+            "context_length": len(chat_data.context)
+        }
+    }
+
+@router.get("/health")
+async def health_check():
+    return {"status": "healthy"}