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+"""FastAPI backend for LLM Council."""
+
+from fastapi import FastAPI, HTTPException
+from fastapi.middleware.cors import CORSMiddleware
+from pydantic import BaseModel
+from typing import List, Dict, Any
+import uuid
+
+from . import storage
+from .council import run_full_council
+
+app = FastAPI(title="LLM Council API")
+
+# Enable CORS for local development
+app.add_middleware(
+ CORSMiddleware,
+ allow_origins=["http://localhost:5173", "http://localhost:3000"],
+ allow_credentials=True,
+ allow_methods=["*"],
+ allow_headers=["*"],
+)
+
+
+class CreateConversationRequest(BaseModel):
+ """Request to create a new conversation."""
+ pass
+
+
+class SendMessageRequest(BaseModel):
+ """Request to send a message in a conversation."""
+ content: str
+
+
+class ConversationMetadata(BaseModel):
+ """Conversation metadata for list view."""
+ id: str
+ created_at: str
+ message_count: int
+
+
+class Conversation(BaseModel):
+ """Full conversation with all messages."""
+ id: str
+ created_at: str
+ messages: List[Dict[str, Any]]
+
+
+@app.get("/")
+async def root():
+ """Health check endpoint."""
+ return {"status": "ok", "service": "LLM Council API"}
+
+
+@app.get("/api/conversations", response_model=List[ConversationMetadata])
+async def list_conversations():
+ """List all conversations (metadata only)."""
+ return storage.list_conversations()
+
+
+@app.post("/api/conversations", response_model=Conversation)
+async def create_conversation(request: CreateConversationRequest):
+ """Create a new conversation."""
+ conversation_id = str(uuid.uuid4())
+ conversation = storage.create_conversation(conversation_id)
+ return conversation
+
+
+@app.get("/api/conversations/{conversation_id}", response_model=Conversation)
+async def get_conversation(conversation_id: str):
+ """Get a specific conversation with all its messages."""
+ conversation = storage.get_conversation(conversation_id)
+ if conversation is None:
+ raise HTTPException(status_code=404, detail="Conversation not found")
+ return conversation
+
+
+@app.post("/api/conversations/{conversation_id}/message")
+async def send_message(conversation_id: str, request: SendMessageRequest):
+ """
+ Send a message and run the 3-stage council process.
+ Returns the complete response with all stages.
+ """
+ # Check if conversation exists
+ conversation = storage.get_conversation(conversation_id)
+ if conversation is None:
+ raise HTTPException(status_code=404, detail="Conversation not found")
+
+ # Add user message
+ storage.add_user_message(conversation_id, request.content)
+
+ # Run the 3-stage council process
+ stage1_results, stage2_results, stage3_result, metadata = await run_full_council(
+ request.content
+ )
+
+ # Add assistant message with all stages
+ storage.add_assistant_message(
+ conversation_id,
+ stage1_results,
+ stage2_results,
+ stage3_result
+ )
+
+ # Return the complete response with metadata
+ return {
+ "stage1": stage1_results,
+ "stage2": stage2_results,
+ "stage3": stage3_result,
+ "metadata": metadata
+ }
+
+
+if __name__ == "__main__":
+ import uvicorn
+ uvicorn.run(app, host="0.0.0.0", port=8001)