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MULTI-IA-CODAGE/backend/ai.py
T
xavier f794937fd8
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fix: intégration du support natif Gemini et affichage des erreurs API détaillées
2026-10-07 14:09:24 +02:00

73 lines
2.7 KiB
Python

from openai import OpenAI
from fastapi import HTTPException
from .models import SystemSettings
def get_ai_response(messages: list, settings: SystemSettings) -> str:
"""
Route la conversation vers le premier fournisseur IA disponible configuré par l'admin.
"""
if not settings:
raise HTTPException(status_code=500, detail="Configuration système introuvable.")
# Formatage de l'historique pour l'API (OpenAI compatible)
formatted_messages = [{"role": msg.role, "content": msg.content} for msg in messages]
try:
# 1. Test OpenRouter
if settings.openrouter_api_key:
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key=settings.openrouter_api_key,
)
model = "google/gemini-pro"
response = client.chat.completions.create(
model=model,
messages=formatted_messages,
extra_headers={"HTTP-Referer": "https://aethas38.duckdns.org", "X-Title": "AETHAS38"}
)
# 2. Test Gemini direct (Google propose désormais une API compatible OpenAI !)
elif settings.gemini_api_key:
client = OpenAI(
base_url="https://generativelanguage.googleapis.com/v1beta/openai/",
api_key=settings.gemini_api_key,
)
model = "gemini-1.5-flash"
response = client.chat.completions.create(
model=model,
messages=formatted_messages
)
# 3. Test DeepSeek
elif settings.deepseek_api_key:
client = OpenAI(
base_url="https://api.deepseek.com/v1",
api_key=settings.deepseek_api_key,
)
model = "deepseek-chat"
response = client.chat.completions.create(
model=model,
messages=formatted_messages
)
# 4. Test Groq
elif settings.groq_api_key:
client = OpenAI(
base_url="https://api.groq.com/openai/v1",
api_key=settings.groq_api_key,
)
model = "llama3-8b-8192"
response = client.chat.completions.create(
model=model,
messages=formatted_messages
)
else:
raise HTTPException(status_code=400, detail="Aucune clé API IA n'est configurée.")
return response.choices[0].message.content
except Exception as e:
# On capture l'erreur exacte et on la renvoie au frontend pour comprendre le blocage
print(f"Erreur détaillée : {str(e)}")
raise HTTPException(status_code=502, detail=f"Détail du fournisseur : {str(e)}")