49 lines
1.3 KiB
Python
49 lines
1.3 KiB
Python
import os
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from dotenv import load_dotenv
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from fastapi import FastAPI, Header, HTTPException
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from pydantic import BaseModel
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import openai
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import redis
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AI_TOKEN = os.environ["AI_HANDLER_TOKEN"]
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openai.api_key = os.environ["OPENAI_API_KEY"]
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r = redis.Redis.from_url(os.environ.get("REDIS_URL", "redis://redis:6379"))
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class MessagePayload(BaseModel):
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roomId: str
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userId: str
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eventId: str
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serverTimestamp: int
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content: str
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app = FastAPI()
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@app.post("/api/v1/message")
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async def message(
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payload: MessagePayload,
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authorization: str = Header(None)
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):
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if authorization != f"Bearer {AI_TOKEN}":
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raise HTTPException(status_code=401, detail="Unauthorized")
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# Idempotency: ignore duplicates
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if r.get(payload.eventId):
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return {"reply": r.get(payload.eventId).decode()}
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# Build prompt (very simple example)
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prompt = f"User {payload.userId} said: {payload.content}\nBot:"
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chat_response = opeai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=[
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{"role": "system", "content": "-"},
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{"role": "user", "content": prompt}
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]
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temperature=0.7,
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)
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reply = chat_response.choices[0].text.strip()
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# Cache reply for idempotency
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r.set(payload.eventId, reply, ex=3600)
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return {"reply": reply}
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