58 lines
2.8 KiB
Python
58 lines
2.8 KiB
Python
from openai import OpenAI
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from fastapi import HTTPException
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from .models import SystemSettings
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from .logger import system_logger
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def get_ai_response(messages: list, settings: SystemSettings) -> str:
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"""Route la conversation vers le premier fournisseur IA disponible, priorité à Gemini Direct."""
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if not settings:
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system_logger.error("Configuration système introuvable lors de l'appel IA.")
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raise HTTPException(status_code=500, detail="Configuration système introuvable.")
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formatted_messages = [{"role": msg.role, "content": msg.content} for msg in messages]
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try:
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# 1. Priorité absolue : Test Gemini direct (Rapide, sans intermédiaire)
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if settings.gemini_api_key:
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client = OpenAI(
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base_url="https://generativelanguage.googleapis.com/v1beta/openai/",
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api_key=settings.gemini_api_key
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)
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# Utilisation de l'identifiant standard API pour la version Flash
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model = "gemini-1.5-flash"
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system_logger.info(f"Appel IA via Google Gemini direct (Modèle: {model})")
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response = client.chat.completions.create(model=model, messages=formatted_messages)
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# 2. Test OpenRouter (Fallback)
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elif settings.openrouter_api_key:
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client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=settings.openrouter_api_key)
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model = "google/gemini-1.5-pro" # Identifiant mis à jour et valide
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system_logger.info(f"Appel IA via OpenRouter (Modèle: {model})")
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response = client.chat.completions.create(
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model=model,
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messages=formatted_messages,
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extra_headers={"HTTP-Referer": "https://aethas38.duckdns.org", "X-Title": "AETHAS38"}
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)
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# 3. Test DeepSeek
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elif settings.deepseek_api_key:
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client = OpenAI(base_url="https://api.deepseek.com/v1", api_key=settings.deepseek_api_key)
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model = "deepseek-chat"
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system_logger.info(f"Appel IA via DeepSeek (Modèle: {model})")
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response = client.chat.completions.create(model=model, messages=formatted_messages)
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# 4. Test Groq
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elif settings.groq_api_key:
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client = OpenAI(base_url="https://api.groq.com/openai/v1", api_key=settings.groq_api_key)
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model = "llama3-8b-8192"
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system_logger.info(f"Appel IA via Groq (Modèle: {model})")
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response = client.chat.completions.create(model=model, messages=formatted_messages)
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else:
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raise HTTPException(status_code=400, detail="Aucune clé API IA n'est configurée.")
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return response.choices[0].message.content
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except Exception as e:
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system_logger.error(f"Erreur API IA : {str(e)}")
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raise HTTPException(status_code=502, detail=f"Détail du fournisseur : {str(e)}") |