llm_request.py

import os
import requests
from log import log

def request_spark_model(spark_url, project_name, user_input, system_prompt, chat_history):
    try:
        hf_token = os.getenv("HF_TOKEN")  # Flare’in kendi ortamındaki token
        if not hf_token:
            raise Exception("HF_TOKEN ortam değişkeni tanımlı değil.")

        headers = {
            "Authorization": f"Bearer {hf_token}",
            "Content-Type": "application/json"
        }

        response = requests.post(
            f"{spark_url}/generate",
            json={
                "project_name": project_name,
                "user_input": user_input,
                "system_prompt": system_prompt,
                "context": chat_history
            },
            headers=headers,
            timeout=60
        )
        response.raise_for_status()
        log("✅ Spark cevabı başarıyla alındı.")
        return response.json().get("model_answer")

    except Exception as e:
        log(f"❌ Spark microservice hatası: {e}")
        return "Hata: Model cevabı alınamadı."