AI Vision: multi-provider config, model testing, per-client AI preferences
Backend: - Add ai_provider + ai_model columns to APIClient model - New admin_ai router: GET /admin/api/ai/status + POST /admin/api/ai/test - Update ai_vision.py: provider_override + model_override support - Update pipeline: load client AI prefs for image processing - ClientUpdate/ClientResponse schemas include ai_provider/ai_model Frontend: - New AIConfigSection component: provider list, model dropdowns, test button with live results (no page refresh needed) - AI types (ai.types.ts) + API (api/ai.ts) - APIClient types extended with ai_provider/ai_model
This commit is contained in:
+2
-1
@@ -12,7 +12,7 @@ from slowapi.errors import RateLimitExceeded
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from app.config import settings
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from app.database import init_db
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from app.logging_config import configure_logging
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from app.routers import images_router, ai_router, auth_router, files_router, ws_router, admin_router
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from app.routers import images_router, ai_router, auth_router, files_router, ws_router, admin_router, admin_ai_router
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from app.middleware import limiter
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from app.middleware.logging_middleware import LoggingMiddleware
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from app.middleware.versioning import APIVersioningMiddleware
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@@ -171,6 +171,7 @@ app.include_router(api_v1_router)
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# ── Routers non-versionnés ──────────────────────────────────
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app.include_router(ws_router)
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app.include_router(admin_router)
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app.include_router(admin_ai_router)
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# ── Routes utilitaires ──────────────────────────────────────
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@@ -47,6 +47,10 @@ class APIClient(Base):
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quota_storage_mb = Column(Integer, default=500, nullable=False)
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quota_images = Column(Integer, default=1000, nullable=False)
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# ── AI Preferences (per-client provider/model override) ────
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ai_provider = Column(String(64), nullable=True)
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ai_model = Column(String(256), nullable=True)
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# ── Timestamps ────────────────────────────────────────────
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created_at = Column(DateTime(timezone=True), default=lambda: datetime.now(timezone.utc))
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updated_at = Column(
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@@ -4,5 +4,6 @@ from app.routers.auth import router as auth_router
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from app.routers.files import router as files_router
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from app.routers.websocket import router as ws_router
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from app.routers.admin import router as admin_router
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from app.routers.admin_ai import router as admin_ai_router
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__all__ = ["images_router", "ai_router", "auth_router", "files_router", "ws_router", "admin_router"]
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__all__ = ["images_router", "ai_router", "auth_router", "files_router", "ws_router", "admin_router", "admin_ai_router"]
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@@ -0,0 +1,254 @@
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"""
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Router — Admin AI : configuration, test et préférences AI par client.
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"""
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import asyncio
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import base64
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import logging
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import time
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from typing import Optional
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import httpx
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from fastapi import APIRouter, Depends, HTTPException, status
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from pydantic import BaseModel, Field
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from sqlalchemy import select
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.config import settings
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from app.database import get_db
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from app.dependencies.auth import require_scope
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from app.models.client import APIClient
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logger = logging.getLogger(__name__)
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router = APIRouter(prefix="/admin/api/ai", tags=["Admin AI"])
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# ─────────────────────────────────────────────────────────────
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# Schemas
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# ─────────────────────────────────────────────────────────────
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class ProviderInfo(BaseModel):
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key: str
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name: str
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configured: bool
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models: list[str] = []
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class AIStatusResponse(BaseModel):
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ai_enabled: bool
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current_provider: str
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current_model: str
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providers: list[ProviderInfo]
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class TestModelRequest(BaseModel):
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provider: str = Field(..., description="openrouter ou gemini")
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model: str = Field(..., description="Nom du modèle à tester")
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prompt: Optional[str] = Field(None, description="Prompt de test (optionnel)")
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image_base64: Optional[str] = Field(None, description="Image base64 pour test vision (optionnel)")
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class TestModelResponse(BaseModel):
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success: bool
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provider: str
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model: str
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response: Optional[str] = None
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tokens: Optional[dict] = None
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latency_ms: float = 0
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error: Optional[str] = None
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# ─────────────────────────────────────────────────────────────
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# Constantes — Modèles disponibles par fournisseur
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# ─────────────────────────────────────────────────────────────
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OPENROUTER_VISION_MODELS = [
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"google/gemini-2.5-flash-lite",
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"google/gemini-2.5-flash",
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"google/gemini-2.5-pro-preview",
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"qwen/qwen2.5-vl-72b-instruct",
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"anthropic/claude-3.5-sonnet",
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"anthropic/claude-3-opus",
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"openai/gpt-4o",
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"openai/gpt-4o-mini",
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"meta-llama/llama-4-maverick",
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]
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GEMINI_MODELS = [
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"gemini-2.5-flash-lite",
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"gemini-2.5-flash",
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"gemini-2.5-pro-preview",
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"gemini-2.0-flash",
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]
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def _build_providers() -> list[ProviderInfo]:
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"""Construit la liste des fournisseurs disponibles selon la config .env."""
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providers = []
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# OpenRouter
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or_configured = bool(settings.OPENROUTER_API_KEY)
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providers.append(ProviderInfo(
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key="openrouter",
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name="OpenRouter",
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configured=or_configured,
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models=OPENROUTER_VISION_MODELS if or_configured else [],
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))
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# Gemini
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gemini_configured = bool(settings.GEMINI_API_KEY)
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providers.append(ProviderInfo(
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key="gemini",
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name="Google Gemini",
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configured=gemini_configured,
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models=GEMINI_MODELS if gemini_configured else [],
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))
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return providers
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# ─────────────────────────────────────────────────────────────
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# GET /admin/api/ai/status
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# ─────────────────────────────────────────────────────────────
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@router.get("/status", response_model=AIStatusResponse)
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async def get_ai_status():
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"""Retourne la configuration AI actuelle et les fournisseurs/modèles disponibles."""
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active_model = (
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settings.OPENROUTER_MODEL if settings.AI_PROVIDER == "openrouter"
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else settings.GEMINI_MODEL
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)
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return AIStatusResponse(
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ai_enabled=settings.AI_ENABLED,
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current_provider=settings.AI_PROVIDER,
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current_model=active_model,
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providers=_build_providers(),
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)
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# ─────────────────────────────────────────────────────────────
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# POST /admin/api/ai/test
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# ─────────────────────────────────────────────────────────────
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@router.post("/test", response_model=TestModelResponse)
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async def test_model(
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body: TestModelRequest,
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_=Depends(require_scope("admin")),
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):
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"""Teste un modèle AI avec un prompt simple (et optionnellement une image)."""
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t0 = time.monotonic()
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if body.provider == "openrouter":
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result = await _test_openrouter(body.model, body.prompt, body.image_base64)
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elif body.provider == "gemini":
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result = await _test_gemini(body.model, body.prompt, body.image_base64)
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else:
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail=f"Fournisseur inconnu : {body.provider}",
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)
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result["latency_ms"] = round((time.monotonic() - t0) * 1000, 1)
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result["provider"] = body.provider
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result["model"] = body.model
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return result
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async def _test_openrouter(model: str, prompt: Optional[str], image_b64: Optional[str]) -> dict:
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"""Appel test vers OpenRouter."""
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if not settings.OPENROUTER_API_KEY:
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return {"success": False, "error": "Clé API OpenRouter non configurée"}
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test_prompt = prompt or "Réponds uniquement avec le mot 'OK' pour confirmer que tu fonctionnes."
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headers = {
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"Authorization": f"Bearer {settings.OPENROUTER_API_KEY}",
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"Content-Type": "application/json",
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"HTTP-Referer": "imago-test",
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"X-Title": "Imago AI Test",
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}
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messages = []
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content_payload = [{"type": "text", "text": test_prompt}]
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if image_b64:
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content_payload.append({
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"type": "image_url",
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"image_url": {"url": f"data:image/jpeg;base64,{image_b64}"},
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})
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messages.append({"role": "user", "content": content_payload})
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payload = {
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"model": model,
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"messages": messages,
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"max_tokens": 64,
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}
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try:
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async with httpx.AsyncClient() as client:
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resp = await client.post(
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"https://openrouter.ai/api/v1/chat/completions",
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json=payload,
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headers=headers,
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timeout=60,
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)
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resp.raise_for_status()
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data = resp.json()
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text = data.get("choices", [{}])[0].get("message", {}).get("content", "")
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usage = data.get("usage", {})
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return {
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"success": True,
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"response": text[:500],
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"tokens": {
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"prompt": usage.get("prompt_tokens"),
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"completion": usage.get("completion_tokens"),
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},
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}
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except httpx.HTTPStatusError as e:
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return {"success": False, "error": f"HTTP {e.response.status_code}: {e.response.text[:300]}"}
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except Exception as e:
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return {"success": False, "error": str(e)[:500]}
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async def _test_gemini(model: str, prompt: Optional[str], image_b64: Optional[str]) -> dict:
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"""Appel test vers Google Gemini."""
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if not settings.GEMINI_API_KEY:
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return {"success": False, "error": "Clé API Gemini non configurée"}
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try:
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from google import genai
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from google.genai import types
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except ImportError:
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return {"success": False, "error": "SDK Google GenAI non installé"}
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test_prompt = prompt or "Réponds uniquement avec le mot 'OK' pour confirmer que tu fonctionnes."
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client = genai.Client(api_key=settings.GEMINI_API_KEY)
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contents = []
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if image_b64:
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contents.append(types.Part.from_bytes(
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data=base64.b64decode(image_b64),
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mime_type="image/jpeg",
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))
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contents.append(test_prompt)
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try:
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response = await asyncio.wait_for(
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asyncio.to_thread(
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client.models.generate_content,
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model=model,
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contents=contents,
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config=types.GenerateContentConfig(max_output_tokens=64),
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),
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timeout=60,
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)
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text = getattr(response, "text", "")
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usage = getattr(response, "usage_metadata", None)
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tokens = None
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if usage:
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tokens = {
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"prompt": getattr(usage, "prompt_token_count", None),
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"completion": getattr(usage, "candidates_token_count", None),
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}
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return {"success": True, "response": text[:500], "tokens": tokens}
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except Exception as e:
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return {"success": False, "error": str(e)[:500]}
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@@ -47,6 +47,8 @@ class ClientUpdate(BaseModel):
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scopes: Optional[List[str]] = None
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plan: Optional[ClientPlan] = None
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is_active: Optional[bool] = None
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ai_provider: Optional[str] = Field(None, description="Fournisseur AI préféré (openrouter, gemini)")
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ai_model: Optional[str] = Field(None, description="Modèle AI préféré")
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# ─────────────────────────────────────────────────────────────
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@@ -62,6 +64,8 @@ class ClientResponse(BaseModel):
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scopes: List[str]
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plan: ClientPlan
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is_active: bool
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ai_provider: Optional[str] = None
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ai_model: Optional[str] = None
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created_at: Optional[datetime] = None
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updated_at: Optional[datetime] = None
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+36
-11
@@ -114,7 +114,8 @@ async def _generate_gemini(
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prompt: str,
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image_bytes: Optional[bytes] = None,
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media_type: Optional[str] = None,
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max_tokens: int = 1024
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max_tokens: int = 1024,
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model_override: Optional[str] = None,
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) -> dict:
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"""Appel à Google Gemini via SDK avec timeout et retry."""
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if not settings.GEMINI_API_KEY:
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@@ -127,11 +128,13 @@ async def _generate_gemini(
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contents.append(types.Part.from_bytes(data=image_bytes, mime_type=media_type))
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contents.append(prompt)
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model = model_override or settings.GEMINI_MODEL
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async def _call():
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return await asyncio.wait_for(
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asyncio.to_thread(
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client.models.generate_content,
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model=settings.GEMINI_MODEL,
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model=model,
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contents=contents,
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config=types.GenerateContentConfig(
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max_output_tokens=max_tokens,
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@@ -154,13 +157,16 @@ async def _generate_openrouter(
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prompt: str,
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image_bytes: Optional[bytes] = None,
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media_type: Optional[str] = None,
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max_tokens: int = 1024
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max_tokens: int = 1024,
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model_override: Optional[str] = None,
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) -> dict:
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"""Appel à OpenRouter via HTTP avec timeout et retry."""
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if not settings.OPENROUTER_API_KEY:
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logger.warning("ai.openrouter.no_key")
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return {"text": None, "usage": (None, None)}
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model = model_override or settings.OPENROUTER_MODEL
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headers = {
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"Authorization": f"Bearer {settings.OPENROUTER_API_KEY}",
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"Content-Type": "application/json",
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@@ -184,7 +190,7 @@ async def _generate_openrouter(
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messages.append({"role": "user", "content": content_payload})
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payload = {
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"model": settings.OPENROUTER_MODEL,
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"model": model,
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"messages": messages,
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"max_tokens": max_tokens,
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"response_format": {"type": "json_object"}
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@@ -222,16 +228,24 @@ async def _generate(
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prompt: str,
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image_bytes: Optional[bytes] = None,
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media_type: Optional[str] = None,
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max_tokens: int = 1024
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max_tokens: int = 1024,
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provider_override: Optional[str] = None,
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model_override: Optional[str] = None,
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) -> dict:
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"""Dispatcher vers le bon provider."""
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provider = settings.AI_PROVIDER.lower()
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"""Dispatcher vers le bon provider, avec override optionnel par client."""
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provider = provider_override or settings.AI_PROVIDER.lower()
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logger.info("ai.generate", extra={"provider": provider})
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if provider == "openrouter":
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return await _generate_openrouter(prompt, image_bytes, media_type, max_tokens)
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return await _generate_openrouter(
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prompt, image_bytes, media_type, max_tokens,
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model_override=model_override,
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)
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else:
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return await _generate_gemini(prompt, image_bytes, media_type, max_tokens)
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return await _generate_gemini(
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prompt, image_bytes, media_type, max_tokens,
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model_override=model_override,
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)
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def _build_prompt(ocr_hint: Optional[str], language: str) -> str:
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@@ -265,18 +279,27 @@ async def analyze_image(
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file_path: str,
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ocr_hint: Optional[str] = None,
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language: str = "français",
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provider_override: Optional[str] = None,
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model_override: Optional[str] = None,
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) -> dict:
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"""
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Envoie l'image à l'AI pour analyse (Description + Tags).
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Supporte l'override par client pour le fournisseur/modèle.
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"""
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if not settings.AI_ENABLED:
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return {}
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active_provider = provider_override or settings.AI_PROVIDER
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active_model = model_override or (
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settings.OPENROUTER_MODEL if active_provider == "openrouter"
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else settings.GEMINI_MODEL
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)
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result = {
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"description": None,
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"tags": [],
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"confidence": None,
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"model": settings.OPENROUTER_MODEL if settings.AI_PROVIDER == "openrouter" else settings.GEMINI_MODEL,
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"model": active_model,
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"prompt_tokens": None,
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"output_tokens": None,
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}
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@@ -289,7 +312,9 @@ async def analyze_image(
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prompt=prompt,
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image_bytes=image_bytes,
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media_type=media_type,
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max_tokens=settings.GEMINI_MAX_TOKENS
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max_tokens=settings.GEMINI_MAX_TOKENS,
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provider_override=provider_override,
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model_override=model_override,
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)
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text = response.get("text")
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@@ -181,9 +181,25 @@ async def process_image_pipeline(
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try:
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logger.info("pipeline.step.start", extra={"image_id": image_id, "step": "ai", "step_num": "3/3"})
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t0 = time.time()
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# Charger les préférences AI du client
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provider_override = None
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model_override = None
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if image.client_id:
|
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from app.models.client import APIClient
|
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client_result = await db.execute(
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select(APIClient).where(APIClient.id == image.client_id)
|
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)
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owner = client_result.scalar_one_or_none()
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if owner:
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provider_override = owner.ai_provider
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model_override = owner.ai_model
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|
||||
ai = await analyze_image(
|
||||
file_path=file_path,
|
||||
ocr_hint=image.ocr_text,
|
||||
provider_override=provider_override,
|
||||
model_override=model_override,
|
||||
)
|
||||
|
||||
image.ai_description = ai.get("description")
|
||||
|
||||
@@ -0,0 +1,10 @@
|
||||
import { apiGet, apiPost } from './client';
|
||||
import type { AIStatus, TestModelRequest, TestModelResponse } from '@/types/ai.types';
|
||||
|
||||
export async function fetchAIStatus(): Promise<AIStatus> {
|
||||
return apiGet<AIStatus>('/admin/api/ai/status');
|
||||
}
|
||||
|
||||
export async function testModel(body: TestModelRequest): Promise<TestModelResponse> {
|
||||
return apiPost<TestModelResponse>('/admin/api/ai/test', body);
|
||||
}
|
||||
@@ -0,0 +1,324 @@
|
||||
import { useState, useEffect, useCallback } from 'react';
|
||||
import { useQuery } from '@tanstack/react-query';
|
||||
import { fetchAIStatus, testModel } from '@/api/ai';
|
||||
import type { AIStatus, TestModelResponse } from '@/types/ai.types';
|
||||
import { Bot, Zap, AlertTriangle, CheckCircle, Loader2, RefreshCw, Cpu, ChevronDown } from 'lucide-react';
|
||||
import { clsx } from 'clsx';
|
||||
|
||||
export function AIConfigSection() {
|
||||
const { data: aiStatus, isLoading, refetch } = useQuery({
|
||||
queryKey: ['ai-status'],
|
||||
queryFn: fetchAIStatus,
|
||||
refetchInterval: 30000,
|
||||
staleTime: 10000,
|
||||
});
|
||||
|
||||
const [selectedProvider, setSelectedProvider] = useState<string>('');
|
||||
const [selectedModel, setSelectedModel] = useState<string>('');
|
||||
const [testResult, setTestResult] = useState<TestModelResponse | null>(null);
|
||||
const [isTesting, setIsTesting] = useState(false);
|
||||
const [testError, setTestError] = useState<string | null>(null);
|
||||
|
||||
// Sync dropdowns with current config when data loads
|
||||
useEffect(() => {
|
||||
if (aiStatus && !selectedProvider) {
|
||||
setSelectedProvider(aiStatus.current_provider);
|
||||
setSelectedModel(aiStatus.current_model);
|
||||
}
|
||||
}, [aiStatus, selectedProvider]);
|
||||
|
||||
// When provider changes, auto-select first model
|
||||
const currentProviderModels = aiStatus?.providers.find(
|
||||
p => p.key === selectedProvider
|
||||
)?.models || [];
|
||||
|
||||
const handleProviderChange = useCallback((provider: string) => {
|
||||
setSelectedProvider(provider);
|
||||
const providerInfo = aiStatus?.providers.find(p => p.key === provider);
|
||||
if (providerInfo?.models.length) {
|
||||
setSelectedModel(providerInfo.models[0]);
|
||||
} else {
|
||||
setSelectedModel('');
|
||||
}
|
||||
setTestResult(null);
|
||||
setTestError(null);
|
||||
}, [aiStatus]);
|
||||
|
||||
const handleTest = useCallback(async () => {
|
||||
if (!selectedProvider || !selectedModel) return;
|
||||
|
||||
setIsTesting(true);
|
||||
setTestResult(null);
|
||||
setTestError(null);
|
||||
|
||||
try {
|
||||
const result = await testModel({
|
||||
provider: selectedProvider,
|
||||
model: selectedModel,
|
||||
});
|
||||
setTestResult(result);
|
||||
} catch (err: any) {
|
||||
setTestError(err?.message || 'Erreur de test');
|
||||
} finally {
|
||||
setIsTesting(false);
|
||||
}
|
||||
}, [selectedProvider, selectedModel]);
|
||||
|
||||
if (isLoading) {
|
||||
return (
|
||||
<section className="card mb-6">
|
||||
<div className="flex items-center gap-2 mb-4">
|
||||
<Bot size={16} className="text-content-muted" />
|
||||
<h3 className="font-semibold text-content-primary">Intelligence Artificielle</h3>
|
||||
</div>
|
||||
<div className="animate-pulse space-y-3">
|
||||
<div className="h-8 bg-surface-overlay rounded-lg" />
|
||||
<div className="h-8 bg-surface-overlay rounded-lg" />
|
||||
</div>
|
||||
</section>
|
||||
);
|
||||
}
|
||||
|
||||
const activeProviderInfo = aiStatus?.providers.find(p => p.key === aiStatus.current_provider);
|
||||
|
||||
return (
|
||||
<section className="card mb-6">
|
||||
<div className="flex items-center gap-2 mb-4">
|
||||
<Bot size={16} className="text-content-muted" />
|
||||
<h3 className="font-semibold text-content-primary">Intelligence Artificielle</h3>
|
||||
{aiStatus?.ai_enabled ? (
|
||||
<span className="ml-auto flex items-center gap-1 text-xs text-status-ok bg-status-ok/10 px-2 py-0.5 rounded-full">
|
||||
<CheckCircle size={10} /> Activé
|
||||
</span>
|
||||
) : (
|
||||
<span className="ml-auto flex items-center gap-1 text-xs text-status-warning bg-status-warning/10 px-2 py-0.5 rounded-full">
|
||||
<AlertTriangle size={10} /> Désactivé
|
||||
</span>
|
||||
)}
|
||||
</div>
|
||||
|
||||
{/* Current configuration */}
|
||||
<div className="grid grid-cols-1 md:grid-cols-3 gap-3 mb-5">
|
||||
<div className="bg-surface/50 rounded-lg p-3">
|
||||
<div className="text-xs text-content-muted mb-1">Fournisseur actif</div>
|
||||
<div className="flex items-center gap-2">
|
||||
<Cpu size={14} className="text-brand-400" />
|
||||
<span className="text-sm font-medium text-content-primary capitalize">
|
||||
{activeProviderInfo?.name || aiStatus?.current_provider || '—'}
|
||||
</span>
|
||||
{activeProviderInfo?.configured ? (
|
||||
<CheckCircle size={12} className="text-status-ok ml-auto" />
|
||||
) : (
|
||||
<AlertTriangle size={12} className="text-status-warning ml-auto" />
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
<div className="bg-surface/50 rounded-lg p-3">
|
||||
<div className="text-xs text-content-muted mb-1">Modèle actif</div>
|
||||
<div className="flex items-center gap-2">
|
||||
<Zap size={14} className="text-amber-400" />
|
||||
<span className="text-sm font-medium text-content-primary truncate">
|
||||
{aiStatus?.current_model || '—'}
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
<div className="bg-surface/50 rounded-lg p-3">
|
||||
<div className="text-xs text-content-muted mb-1">Statut</div>
|
||||
<div className={clsx(
|
||||
'text-sm font-medium',
|
||||
aiStatus?.ai_enabled && activeProviderInfo?.configured
|
||||
? 'text-status-ok'
|
||||
: 'text-status-warning'
|
||||
)}>
|
||||
{aiStatus?.ai_enabled && activeProviderInfo?.configured
|
||||
? '✅ Connecté'
|
||||
: '⚠️ Non configuré'}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Provider list */}
|
||||
<div className="mb-5">
|
||||
<h4 className="text-xs font-semibold text-content-muted uppercase tracking-wider mb-3">
|
||||
Fournisseurs disponibles
|
||||
</h4>
|
||||
<div className="grid grid-cols-1 md:grid-cols-2 gap-3">
|
||||
{aiStatus?.providers.map(provider => (
|
||||
<div
|
||||
key={provider.key}
|
||||
className={clsx(
|
||||
'bg-surface/50 rounded-lg p-3 border transition-colors',
|
||||
provider.configured
|
||||
? 'border-border hover:border-brand-500/30'
|
||||
: 'border-status-error/20 opacity-60'
|
||||
)}
|
||||
>
|
||||
<div className="flex items-center justify-between mb-2">
|
||||
<span className="font-medium text-content-primary text-sm">
|
||||
{provider.name}
|
||||
</span>
|
||||
{provider.configured ? (
|
||||
<span className="text-[10px] text-status-ok bg-status-ok/10 px-1.5 py-0.5 rounded">
|
||||
configuré
|
||||
</span>
|
||||
) : (
|
||||
<span className="text-[10px] text-status-error bg-status-error/10 px-1.5 py-0.5 rounded">
|
||||
clé manquante
|
||||
</span>
|
||||
)}
|
||||
</div>
|
||||
{provider.configured && provider.models.length > 0 && (
|
||||
<div className="text-xs text-content-muted">
|
||||
{provider.models.length} modèle{provider.models.length > 1 ? 's' : ''} disponible{provider.models.length > 1 ? 's' : ''}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Test section */}
|
||||
<div className="border-t border-border pt-5">
|
||||
<h4 className="text-xs font-semibold text-content-muted uppercase tracking-wider mb-3">
|
||||
Tester un modèle
|
||||
</h4>
|
||||
|
||||
<div className="grid grid-cols-1 md:grid-cols-2 gap-3 mb-4">
|
||||
{/* Provider selector */}
|
||||
<div>
|
||||
<label className="block text-xs text-content-muted mb-1.5">Fournisseur</label>
|
||||
<div className="relative">
|
||||
<select
|
||||
value={selectedProvider}
|
||||
onChange={e => handleProviderChange(e.target.value)}
|
||||
className="w-full bg-surface-overlay border border-border rounded-lg px-3 py-2 text-sm text-content-primary appearance-none cursor-pointer focus:outline-none focus:border-brand-500/50 transition-colors"
|
||||
>
|
||||
{aiStatus?.providers.filter(p => p.configured).map(p => (
|
||||
<option key={p.key} value={p.key}>{p.name}</option>
|
||||
))}
|
||||
</select>
|
||||
<ChevronDown size={14} className="absolute right-3 top-1/2 -translate-y-1/2 text-content-muted pointer-events-none" />
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Model selector */}
|
||||
<div>
|
||||
<label className="block text-xs text-content-muted mb-1.5">Modèle</label>
|
||||
<div className="relative">
|
||||
<select
|
||||
value={selectedModel}
|
||||
onChange={e => setSelectedModel(e.target.value)}
|
||||
className="w-full bg-surface-overlay border border-border rounded-lg px-3 py-2 text-sm text-content-primary appearance-none cursor-pointer focus:outline-none focus:border-brand-500/50 transition-colors"
|
||||
>
|
||||
{currentProviderModels.length === 0 && (
|
||||
<option value="">Aucun modèle</option>
|
||||
)}
|
||||
{currentProviderModels.map(m => (
|
||||
<option key={m} value={m}>{m}</option>
|
||||
))}
|
||||
</select>
|
||||
<ChevronDown size={14} className="absolute right-3 top-1/2 -translate-y-1/2 text-content-muted pointer-events-none" />
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<button
|
||||
onClick={handleTest}
|
||||
disabled={isTesting || !selectedProvider || !selectedModel}
|
||||
className="btn-primary flex items-center gap-2 text-sm disabled:opacity-50"
|
||||
>
|
||||
{isTesting ? (
|
||||
<>
|
||||
<Loader2 size={14} className="animate-spin" />
|
||||
Test en cours...
|
||||
</>
|
||||
) : (
|
||||
<>
|
||||
<Zap size={14} />
|
||||
Tester {selectedModel || 'le modèle'}
|
||||
</>
|
||||
)}
|
||||
</button>
|
||||
|
||||
{/* Test result — live, no refresh needed */}
|
||||
{(testResult || testError || isTesting) && (
|
||||
<div className={clsx(
|
||||
'mt-4 rounded-lg p-4 border transition-all',
|
||||
isTesting && 'bg-surface/30 border-border animate-pulse',
|
||||
testResult?.success && 'bg-status-ok/5 border-status-ok/20',
|
||||
(testResult && !testResult.success) && 'bg-status-error/5 border-status-error/20',
|
||||
testError && 'bg-status-error/5 border-status-error/20',
|
||||
)}>
|
||||
{isTesting && (
|
||||
<div className="flex items-center gap-2 text-content-muted text-sm">
|
||||
<Loader2 size={14} className="animate-spin" />
|
||||
Envoi de la requête au modèle {selectedModel}...
|
||||
</div>
|
||||
)}
|
||||
|
||||
{testResult?.success && (
|
||||
<div>
|
||||
<div className="flex items-center gap-2 mb-2">
|
||||
<CheckCircle size={14} className="text-status-ok" />
|
||||
<span className="text-sm font-medium text-status-ok">Test réussi</span>
|
||||
<span className="text-xs text-content-muted ml-auto">
|
||||
{testResult.latency_ms}ms
|
||||
</span>
|
||||
</div>
|
||||
{testResult.response && (
|
||||
<p className="text-sm text-content-secondary bg-surface/50 rounded p-3 font-mono whitespace-pre-wrap break-all">
|
||||
{testResult.response}
|
||||
</p>
|
||||
)}
|
||||
{testResult.tokens && (
|
||||
<div className="flex items-center gap-3 mt-2 text-xs text-content-muted">
|
||||
{testResult.tokens.prompt !== undefined && (
|
||||
<span>Prompt: {testResult.tokens.prompt} tokens</span>
|
||||
)}
|
||||
{testResult.tokens.completion !== undefined && (
|
||||
<span>Completion: {testResult.tokens.completion} tokens</span>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
|
||||
{(testResult && !testResult.success) && (
|
||||
<div>
|
||||
<div className="flex items-center gap-2 mb-2">
|
||||
<AlertTriangle size={14} className="text-status-error" />
|
||||
<span className="text-sm font-medium text-status-error">Échec du test</span>
|
||||
<span className="text-xs text-content-muted ml-auto">
|
||||
{testResult.latency_ms}ms
|
||||
</span>
|
||||
</div>
|
||||
<p className="text-sm text-status-error/80 bg-status-error/5 rounded p-3 font-mono break-all">
|
||||
{testResult.error || 'Erreur inconnue'}
|
||||
</p>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{testError && (
|
||||
<div>
|
||||
<div className="flex items-center gap-2 mb-2">
|
||||
<AlertTriangle size={14} className="text-status-error" />
|
||||
<span className="text-sm font-medium text-status-error">Erreur</span>
|
||||
</div>
|
||||
<p className="text-sm text-status-error/80">{testError}</p>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{(testResult || testError) && (
|
||||
<button
|
||||
onClick={() => { setTestResult(null); setTestError(null); }}
|
||||
className="mt-3 flex items-center gap-1 text-xs text-content-muted hover:text-content-secondary transition-colors"
|
||||
>
|
||||
<RefreshCw size={10} /> Effacer le résultat
|
||||
</button>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</section>
|
||||
);
|
||||
}
|
||||
@@ -4,6 +4,7 @@ import { useHealth } from '@/hooks/useHealth';
|
||||
import { Settings, Lock, Info } from 'lucide-react';
|
||||
import { PLANS } from '@/utils/constants';
|
||||
import { formatTokens, formatMB } from '@/utils/formatters';
|
||||
import { AIConfigSection } from '@/components/admin/AIConfigSection';
|
||||
|
||||
export default function Config() {
|
||||
const { data: health, isLoading } = useHealth();
|
||||
@@ -112,6 +113,9 @@ export default function Config() {
|
||||
</div>
|
||||
</section>
|
||||
|
||||
{/* AI Configuration */}
|
||||
<AIConfigSection />
|
||||
|
||||
{/* Components */}
|
||||
<section className="card">
|
||||
<div className="flex items-center gap-2 mb-4">
|
||||
@@ -122,7 +126,6 @@ export default function Config() {
|
||||
<ConfigRow label="Base de données" value={health?.checks?.database?.status === 'ok' ? 'PostgreSQL — Connecté' : 'Non connecté'} readOnly />
|
||||
<ConfigRow label="Redis" value={health?.checks?.redis?.status === 'ok' ? 'Redis 7 — Connecté' : 'Non connecté'} readOnly />
|
||||
<ConfigRow label="OCR" value={health?.checks?.tesseract?.status === 'ok' ? 'Tesseract — Actif' : 'Non disponible'} readOnly />
|
||||
<ConfigRow label="AI Vision" value={health?.checks?.ai?.status === 'ok' ? 'Configuré' : 'Non configuré'} readOnly />
|
||||
</div>
|
||||
</section>
|
||||
</PageLayout>
|
||||
|
||||
@@ -0,0 +1,31 @@
|
||||
// ── AI Configuration ───────────────────────────────────────
|
||||
export interface AIStatus {
|
||||
ai_enabled: boolean;
|
||||
current_provider: string;
|
||||
current_model: string;
|
||||
providers: AIProvider[];
|
||||
}
|
||||
|
||||
export interface AIProvider {
|
||||
key: string;
|
||||
name: string;
|
||||
configured: boolean;
|
||||
models: string[];
|
||||
}
|
||||
|
||||
export interface TestModelRequest {
|
||||
provider: string;
|
||||
model: string;
|
||||
prompt?: string;
|
||||
image_base64?: string;
|
||||
}
|
||||
|
||||
export interface TestModelResponse {
|
||||
success: boolean;
|
||||
provider: string;
|
||||
model: string;
|
||||
response?: string;
|
||||
tokens?: { prompt?: number; completion?: number };
|
||||
latency_ms: number;
|
||||
error?: string;
|
||||
}
|
||||
@@ -9,6 +9,8 @@ export interface APIClient {
|
||||
quota_storage_mb: number;
|
||||
quota_ai_tokens: number;
|
||||
storage_used_bytes: number;
|
||||
ai_provider: string | null;
|
||||
ai_model: string | null;
|
||||
created_at: string;
|
||||
updated_at: string;
|
||||
}
|
||||
@@ -30,6 +32,8 @@ export interface APIClientUpdate {
|
||||
quota_images?: number;
|
||||
quota_storage_mb?: number;
|
||||
quota_ai_tokens?: number;
|
||||
ai_provider?: string | null;
|
||||
ai_model?: string | null;
|
||||
}
|
||||
|
||||
export interface APIClientCreateResponse extends APIClient {
|
||||
|
||||
Reference in New Issue
Block a user