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from fastapi import FastAPI, HTTPException, Header, Request |
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from fastapi.middleware.cors import CORSMiddleware |
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from fastapi.responses import StreamingResponse |
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from pydantic import BaseModel |
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import openai |
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from typing import List, Optional |
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import logging |
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from itertools import cycle |
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import asyncio |
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import uvicorn |
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from app import config |
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logging.basicConfig( |
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level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s" |
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) |
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logger = logging.getLogger(__name__) |
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app = FastAPI() |
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app.add_middleware( |
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CORSMiddleware, |
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allow_origins=["*"], |
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allow_credentials=True, |
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allow_methods=["*"], |
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allow_headers=["*"], |
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) |
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API_KEYS = config.settings.API_KEYS |
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key_cycle = cycle(API_KEYS) |
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key_lock = asyncio.Lock() |
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class ChatRequest(BaseModel): |
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messages: List[dict] |
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model: str = "llama-3.2-90b-text-preview" |
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temperature: Optional[float] = 0.7 |
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stream: Optional[bool] = False |
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async def verify_authorization(authorization: str = Header(None)): |
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if not authorization: |
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logger.error("Missing Authorization header") |
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raise HTTPException(status_code=401, detail="Missing Authorization header") |
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if not authorization.startswith("Bearer "): |
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logger.error("Invalid Authorization header format") |
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raise HTTPException( |
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status_code=401, detail="Invalid Authorization header format" |
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) |
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token = authorization.replace("Bearer ", "") |
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if token not in config.settings.ALLOWED_TOKENS: |
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logger.error("Invalid token") |
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raise HTTPException(status_code=401, detail="Invalid token") |
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return token |
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@app.get("/v1/models") |
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@app.get("/hf/v1/models") |
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async def list_models(authorization: str = Header(None)): |
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await verify_authorization(authorization) |
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async with key_lock: |
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api_key = next(key_cycle) |
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logger.info(f"Using API key: {api_key[:8]}...") |
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try: |
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client = openai.OpenAI(api_key=api_key, base_url=config.settings.BASE_URL) |
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response = client.models.list() |
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logger.info("Successfully retrieved models list") |
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return response |
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except Exception as e: |
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logger.error(f"Error listing models: {str(e)}") |
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raise HTTPException(status_code=500, detail=str(e)) |
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@app.post("/v1/chat/completions") |
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@app.post("/hf/v1/chat/completions") |
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async def chat_completion(request: ChatRequest, authorization: str = Header(None)): |
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await verify_authorization(authorization) |
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async with key_lock: |
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api_key = next(key_cycle) |
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logger.info(f"Using API key: {api_key[:8]}...") |
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try: |
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logger.info(f"Chat completion request - Model: {request.model}") |
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client = openai.OpenAI(api_key=api_key, base_url=config.settings.BASE_URL) |
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response = client.chat.completions.create( |
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model=request.model, |
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messages=request.messages, |
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temperature=request.temperature, |
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max_tokens=request.max_tokens, |
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stream=request.stream if hasattr(request, "stream") else False, |
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) |
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if hasattr(request, "stream") and request.stream: |
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logger.info("Streaming response enabled") |
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async def generate(): |
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for chunk in response: |
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yield f"data: {chunk.model_dump_json()}\n\n" |
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return StreamingResponse(content=generate(), media_type="text/event-stream") |
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logger.info("Chat completion successful") |
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return response |
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except Exception as e: |
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logger.error(f"Error in chat completion: {str(e)}") |
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raise HTTPException(status_code=500, detail=str(e)) |
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@app.get("/health") |
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@app.get("/") |
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async def health_check(): |
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logger.info("Health check endpoint called") |
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return {"status": "healthy"} |
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if __name__ == "__main__": |
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uvicorn.run(app, host="0.0.0.0", port=8000) |
