235 lines
13 KiB
Python
235 lines
13 KiB
Python
import asyncio
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import httpx
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from openai import AsyncOpenAI
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from fastapi import HTTPException
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from sqlalchemy.orm import Session
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from .models import SystemSettings, AIModel, FinancialLog
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from datetime import datetime, timezone
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def determine_domain(model_id: str) -> str:
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mid = model_id.lower()
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if "vision" in mid or "vl" in mid or "omni" in mid: return "Vision & Texte"
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if "coder" in mid or "code" in mid or "math" in mid: return "Code & Logique"
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if "audio" in mid or "whisper" in mid: return "Audio"
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return "Texte Polyvalent"
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async def sync_finances(db: Session, settings: SystemSettings):
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"""Interroge les fournisseurs pour récupérer le solde financier exact."""
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async with httpx.AsyncClient(timeout=30.0) as client:
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# OpenRouter
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if settings.openrouter_management_key or settings.openrouter_api_key:
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try:
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key = settings.openrouter_management_key or settings.openrouter_api_key
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cred_resp = await client.get("https://openrouter.ai/api/v1/credits", headers={"Authorization": f"Bearer {key}"})
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balance = 0.0
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usage = 0.0
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if cred_resp.status_code == 200 and cred_resp.json().get("data"):
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c_data = cred_resp.json().get("data", {})
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balance = float(c_data.get("total_credits") or 0.0) - float(c_data.get("total_usage") or 0.0)
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usage = float(c_data.get("total_usage") or 0.0)
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else:
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key_resp = await client.get("https://openrouter.ai/api/v1/auth/key", headers={"Authorization": f"Bearer {key}"})
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if key_resp.status_code == 200:
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data = key_resp.json().get("data", {})
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limit = data.get("limit")
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usage = float(data.get("usage") or 0.0)
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balance = (float(limit) - usage) if limit is not None else -usage
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update_finance_db(db, "OpenRouter", balance, usage)
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except Exception as e: print(f"Erreur Finance OR: {e}")
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# Groq (Gratuit Beta)
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if settings.groq_api_key: update_finance_db(db, "Groq", 999.0, 0.0)
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# DeepSeek
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if settings.deepseek_api_key:
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try:
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resp = await client.get("https://api.deepseek.com/user/balance", headers={"Authorization": f"Bearer {settings.deepseek_api_key}"})
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if resp.status_code == 200:
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infos = resp.json().get("balance_infos", [{}])[0]
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update_finance_db(db, "DeepSeek", float(infos.get("total_balance", 0)), 0.0)
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except Exception: pass
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# Mistral AI (Pas de route standard simple pour le budget public, on mock)
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if settings.mistral_api_key: update_finance_db(db, "Mistral", 0.0, 0.0)
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# Gemini (Quota lié à GCP, pas de budget direct simple via API clé)
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if settings.gemini_api_key: update_finance_db(db, "Gemini", 0.0, 0.0)
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try: db.commit()
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except: db.rollback()
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def update_finance_db(db, provider, balance, usage):
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try:
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log = db.query(FinancialLog).filter(FinancialLog.provider == provider).first()
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if log:
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log.balance = balance; log.total_usage = usage; log.checked_at = datetime.now(timezone.utc)
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else:
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db.add(FinancialLog(provider=provider, balance=balance, total_usage=usage))
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except Exception as e: print(f"Finance DB Error: {e}")
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async def sync_providers_models(db: Session, settings: SystemSettings, sync_type: str = "Automatique"):
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added = 0
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# TIMEOUT PASSÉ À 90 SECONDES
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async with httpx.AsyncClient(timeout=90.0) as client:
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# 1. OpenRouter
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if settings.openrouter_api_key:
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try:
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resp = await client.get("https://openrouter.ai/api/v1/models")
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if resp.status_code == 200:
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for item in resp.json().get("data", []):
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try:
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pricing = item.get("pricing") or {}
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try: pp = float(pricing.get("prompt") or 0.0) * 1000000
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except: pp = 0.0
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try: pc = float(pricing.get("completion") or 0.0) * 1000000
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except: pc = 0.0
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is_free = (pp == 0.0 and pc == 0.0)
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desc = item.get("description", "Modèle OpenRouter.")[:200] + "..."
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process_model(db, "openrouter", item.get("id", "inconnu"), item.get("name", "Inconnu"), desc, determine_domain(item.get("id", "")), is_free, item.get("context_length", 0), pp, pc)
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added += 1
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except: pass
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except Exception as e: print(f"Erreur OR Models: {e}")
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# 2. Groq
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if settings.groq_api_key:
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try:
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resp = await client.get("https://api.groq.com/openai/v1/models", headers={"Authorization": f"Bearer {settings.groq_api_key}"})
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if resp.status_code == 200:
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for item in resp.json().get("data", []):
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try:
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process_model(db, "groq", item["id"], item["id"].capitalize(), "Modèle rapide LPU Groq.", determine_domain(item["id"]), True, 8192, 0.0, 0.0)
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added += 1
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except: pass
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except Exception: pass
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# 3. DeepSeek
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if settings.deepseek_api_key:
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try:
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resp = await client.get("https://api.deepseek.com/models", headers={"Authorization": f"Bearer {settings.deepseek_api_key}"})
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if resp.status_code == 200:
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for item in resp.json().get("data", []):
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try:
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process_model(db, "deepseek", item["id"], item["id"].capitalize(), "Modèle officiel DeepSeek.", determine_domain(item["id"]), False, 64000, 0.14, 0.28)
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added += 1
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except: pass
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except Exception: pass
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# 4. Mistral
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if settings.mistral_api_key:
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try:
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resp = await client.get("https://api.mistral.ai/v1/models", headers={"Authorization": f"Bearer {settings.mistral_api_key}"})
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if resp.status_code == 200:
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for item in resp.json().get("data", []):
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try:
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process_model(db, "mistral", item["id"], item["id"].capitalize(), "Modèle officiel Mistral AI.", determine_domain(item["id"]), False, 32000, 0.2, 0.6)
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added += 1
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except: pass
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except Exception: pass
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# 5. Gemini (Google)
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if settings.gemini_api_key:
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try:
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resp = await client.get(f"https://generativelanguage.googleapis.com/v1beta/models?key={settings.gemini_api_key}")
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if resp.status_code == 200:
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for item in resp.json().get("models", []):
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try:
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m_id = item["name"].replace("models/", "")
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desc = item.get("description", "Modèle Google Gemini.")[:200] + "..."
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ctx = item.get("inputTokenLimit", 32000)
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process_model(db, "gemini", m_id, item.get("displayName", m_id), desc, determine_domain(m_id), True, ctx, 0.0, 0.0)
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added += 1
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except: pass
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except Exception: pass
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# 6. Cloudflare
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if settings.cloudflare_account_id and settings.cloudflare_api_token:
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try:
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url = f"https://api.cloudflare.com/client/v4/accounts/{settings.cloudflare_account_id}/ai/models/search"
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resp = await client.get(url, headers={"Authorization": f"Bearer {settings.cloudflare_api_token}"})
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if resp.status_code == 200:
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for item in resp.json().get("result", []):
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try:
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m_id = item.get("name")
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desc = item.get("description", "Modèle Cloudflare Workers AI.")[:200] + "..."
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process_model(db, "cloudflare", m_id, m_id.split("/")[-1], desc, determine_domain(m_id), True, 4096, 0.0, 0.0)
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added += 1
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except: pass
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except Exception: pass
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try:
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settings.last_sync_date = datetime.now(timezone.utc)
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settings.last_sync_type = sync_type
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db.commit()
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except Exception as e:
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db.rollback()
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print(f"Erreur DB Commit Sync: {e}")
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await sync_finances(db, settings)
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return {"status": "success", "models_processed": added}
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def process_model(db, provider, mod_id, name, desc, domain, is_free, ctx, pp, pc):
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try:
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existing = db.query(AIModel).filter(AIModel.model_id == mod_id).first()
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if existing:
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existing.pricing_prompt = pp; existing.pricing_completion = pc; existing.is_free = is_free; existing.last_updated = datetime.now(timezone.utc)
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else:
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db.add(AIModel(provider=provider, model_id=mod_id, name=name, description_fr=desc, domain=domain, is_free=is_free, context_length=ctx, pricing_prompt=pp, pricing_completion=pc))
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except Exception: pass
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def get_client_for_model(db: Session, model_id: str, settings: SystemSettings):
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"""Récupère dynamiquement le bon client OpenAI en fonction du fournisseur du modèle."""
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model_db = db.query(AIModel).filter(AIModel.model_id == model_id).first()
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provider = model_db.provider if model_db else "openrouter"
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if provider == "gemini" and settings.gemini_api_key:
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return AsyncOpenAI(base_url="https://generativelanguage.googleapis.com/v1beta/openai/", api_key=settings.gemini_api_key), "gemini"
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elif provider == "groq" and settings.groq_api_key:
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return AsyncOpenAI(base_url="https://api.groq.com/openai/v1", api_key=settings.groq_api_key), "groq"
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elif provider == "deepseek" and settings.deepseek_api_key:
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return AsyncOpenAI(base_url="https://api.deepseek.com/v1", api_key=settings.deepseek_api_key), "deepseek"
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elif provider == "mistral" and settings.mistral_api_key:
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return AsyncOpenAI(base_url="https://api.mistral.ai/v1", api_key=settings.mistral_api_key), "mistral"
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elif provider == "cloudflare" and settings.cloudflare_account_id and settings.cloudflare_api_token:
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return AsyncOpenAI(base_url=f"https://api.cloudflare.com/client/v4/accounts/{settings.cloudflare_account_id}/ai/v1", api_key=settings.cloudflare_api_token), "cloudflare"
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return AsyncOpenAI(base_url="https://openrouter.ai/api/v1", api_key=settings.openrouter_api_key), "openrouter"
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async def ask_agent(client, model_id, messages, provider="openrouter"):
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kwargs = {"model": model_id, "messages": messages}
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if provider == "openrouter":
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kwargs["extra_headers"] = {"HTTP-Referer": "https://aethas38.duckdns.org", "X-Title": "AETHAS38 Orchestrator"}
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resp = await client.chat.completions.create(**kwargs)
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return resp.choices[0].message.content
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async def run_orchestrator(db: Session, history: list, settings: SystemSettings, config: dict) -> str:
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workers = config.get("workers", ["gemini-3.5-flash-lite"])
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user_prompt = history[-1].content
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formatted_history = [{"role": msg.role, "content": msg.content} for msg in history[:-1]]
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final_response = ""
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try:
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if len(workers) == 1:
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w_mod = workers[0]
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client, provider = get_client_for_model(db, w_mod, settings)
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final_response = await ask_agent(client, w_mod, formatted_history + [{"role": "user", "content": user_prompt}], provider)
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else:
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p_mod = config.get("prompter", "gemini-3.5-flash-lite")
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p_client, p_prov = get_client_for_model(db, p_mod, settings)
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optimized = await ask_agent(p_client, p_mod, [{"role": "system", "content": "Optimise cette requête."}, {"role": "user", "content": user_prompt}], p_prov)
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w_tasks = []
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for w in workers:
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w_client, w_prov = get_client_for_model(db, w, settings)
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w_tasks.append(ask_agent(w_client, w, formatted_history + [{"role": "user", "content": optimized}], w_prov))
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responses = await asyncio.gather(*w_tasks, return_exceptions=True)
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c_mod = config.get("concatenator", "gemini-3.5-flash-lite")
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c_client, c_prov = get_client_for_model(db, c_mod, settings)
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synth = f"Requête: {user_prompt}\n\n" + "\n".join([f"--- EXPERT {i+1} ---\n{r}" for i, r in enumerate(responses)]) + "\n\nFais une synthèse finale."
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final_response = await ask_agent(c_client, c_mod, [{"role": "user", "content": synth}], c_prov)
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except Exception as e:
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final_response = f"L'IA a rencontré une erreur critique: {str(e)}"
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await sync_finances(db, settings)
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return final_response |