feat: passage des prompt en traduction anglaise. Mise en place du téléchargement d'un *.md des modèles. Traduction de la description des modèles en Français.

backend/main.py

@@ -144,8 +144,11 @@ def get_messages(project_id: int, db: Session = Depends(get_db), current_user: U
 @app.post("/api/projects/{project_id}/messages", response_model=List[MessageResponse])
 async def create_message(project_id: int, message: MessageCreate, db: Session = Depends(get_db), current_user: User = Depends(get_current_user)):
     final_content = message.content
-    if message.file_content and message.file_name:
-        final_content = f"[Fichier attaché : {message.file_name}]\n```\n{message.file_content}\n```\n\n{message.content}"
+    if message.files:
+        files_text = ""
+        for f in message.files:
+            files_text += f"\n\n[Fichier attaché : {f.name}]\n```\n{f.content}\n```"
+        final_content = message.content + files_text
 
     db.add(Message(role=message.role, content=final_content, project_id=project_id))
     db.commit()

backend/orchestrator.py

@@ -1,5 +1,6 @@
 import asyncio
 import httpx
+import urllib.parse
 from openai import AsyncOpenAI
 from fastapi import HTTPException
 from sqlalchemy.orm import Session
@@ -14,10 +15,22 @@ def determine_domain(model_id: str) -> str:
     if "audio" in mid or "whisper" in mid: return "Audio"
     return "Texte Polyvalent"
 
+async def translate_en_to_fr(client: httpx.AsyncClient, text: str) -> str:
+    """Traduit automatiquement l'anglais vers le français via l'API publique Google Translate."""
+    if not text: return "Aucune description fournie."
+    try:
+        short_text = text[:300].strip() # Limite stricte pour l'API gratuite
+        url = f"https://translate.googleapis.com/translate_a/single?client=gtx&sl=en&tl=fr&dt=t&q={urllib.parse.quote(short_text)}"
+        resp = await client.get(url, timeout=4.0)
+        if resp.status_code == 200:
+            translated = "".join([s[0] for s in resp.json()[0]])
+            return translated + ("..." if len(text) > 300 else "")
+    except Exception:
+        pass
+    return text[:200] + "..."
+
 async def sync_finances(db: Session, settings: SystemSettings):
-    """Interroge les fournisseurs pour récupérer le solde financier exact."""
     async with httpx.AsyncClient(timeout=30.0) as client:
-        # OpenRouter
         if settings.openrouter_management_key or settings.openrouter_api_key:
             try:
                 key = settings.openrouter_management_key or settings.openrouter_api_key
@@ -38,10 +51,7 @@ async def sync_finances(db: Session, settings: SystemSettings):
                 update_finance_db(db, "OpenRouter", balance, usage)
             except Exception as e: print(f"Erreur Finance OR: {e}")
             
-        # Groq
         if settings.groq_api_key: update_finance_db(db, "Groq", 999.0, 0.0)
-            
-        # DeepSeek
         if settings.deepseek_api_key:
             try:
                 resp = await client.get("https://api.deepseek.com/user/balance", headers={"Authorization": f"Bearer {settings.deepseek_api_key}"})
@@ -49,11 +59,7 @@ async def sync_finances(db: Session, settings: SystemSettings):
                     infos = resp.json().get("balance_infos", [{}])[0]
                     update_finance_db(db, "DeepSeek", float(infos.get("total_balance", 0)), 0.0)
             except Exception: pass
-
-        # Mistral AI
         if settings.mistral_api_key: update_finance_db(db, "Mistral", 0.0, 0.0)
-        
-        # Gemini
         if settings.gemini_api_key: update_finance_db(db, "Gemini", 0.0, 0.0)
 
     try: db.commit()
@@ -70,11 +76,8 @@ def update_finance_db(db, provider, balance, usage):
 
 async def sync_providers_models(db: Session, settings: SystemSettings, sync_type: str = "Automatique"):
     added = 0
-    # On stocke les modèles en mémoire avant de les envoyer en base pour éviter les doublons
     models_to_process = {}
-
     async with httpx.AsyncClient(timeout=90.0) as client:
-        # 1. OpenRouter
         if settings.openrouter_api_key:
             try:
                 resp = await client.get("https://openrouter.ai/api/v1/models")
@@ -84,95 +87,83 @@ async def sync_providers_models(db: Session, settings: SystemSettings, sync_type
                             m_id = item.get("id")
                             if not m_id: continue
                             pricing = item.get("pricing") or {}
-                            try: pp = float(pricing.get("prompt") or 0.0) * 1000000
-                            except: pp = 0.0
-                            try: pc = float(pricing.get("completion") or 0.0) * 1000000
-                            except: pc = 0.0
+                            pp = float(pricing.get("prompt") or 0.0) * 1000000
+                            pc = float(pricing.get("completion") or 0.0) * 1000000
                             is_free = (pp == 0.0 and pc == 0.0)
-                            desc = item.get("description", "Modèle OpenRouter.")[:200] + "..."
-                            models_to_process[m_id] = {"provider": "openrouter", "name": item.get("name", "Inconnu"), "desc": desc, "domain": determine_domain(m_id), "is_free": is_free, "ctx": item.get("context_length", 0), "pp": pp, "pc": pc}
+                            desc_en = item.get("description", "Generic AI Model.")
+                            models_to_process[m_id] = {"provider": "openrouter", "name": item.get("name", "Inconnu"), "desc_en": desc_en, "domain": determine_domain(m_id), "is_free": is_free, "ctx": item.get("context_length", 0), "pp": pp, "pc": pc}
                         except: pass
             except Exception as e: print(f"Erreur OR Models: {e}")
             
-        # 2. Groq
         if settings.groq_api_key:
             try:
                 resp = await client.get("https://api.groq.com/openai/v1/models", headers={"Authorization": f"Bearer {settings.groq_api_key}"})
                 if resp.status_code == 200:
                     for item in resp.json().get("data", []):
-                        try:
-                            m_id = item["id"]
-                            models_to_process[m_id] = {"provider": "groq", "name": m_id.capitalize(), "desc": "Modèle rapide LPU Groq.", "domain": determine_domain(m_id), "is_free": True, "ctx": 8192, "pp": 0.0, "pc": 0.0}
-                        except: pass
+                        m_id = item["id"]
+                        models_to_process[m_id] = {"provider": "groq", "name": m_id.capitalize(), "desc": "Modèle très rapide hébergé sur LPU Groq.", "domain": determine_domain(m_id), "is_free": True, "ctx": 8192, "pp": 0.0, "pc": 0.0}
             except Exception: pass
 
-        # 3. DeepSeek
         if settings.deepseek_api_key:
             try:
                 resp = await client.get("https://api.deepseek.com/models", headers={"Authorization": f"Bearer {settings.deepseek_api_key}"})
                 if resp.status_code == 200:
                     for item in resp.json().get("data", []):
-                        try:
-                            m_id = item["id"]
-                            models_to_process[m_id] = {"provider": "deepseek", "name": m_id.capitalize(), "desc": "Modèle officiel DeepSeek.", "domain": determine_domain(m_id), "is_free": False, "ctx": 64000, "pp": 0.14, "pc": 0.28}
-                        except: pass
+                        m_id = item["id"]
+                        models_to_process[m_id] = {"provider": "deepseek", "name": m_id.capitalize(), "desc": "Modèle officiel du fournisseur DeepSeek.", "domain": determine_domain(m_id), "is_free": False, "ctx": 64000, "pp": 0.14, "pc": 0.28}
             except Exception: pass
 
-        # 4. Mistral
         if settings.mistral_api_key:
             try:
                 resp = await client.get("https://api.mistral.ai/v1/models", headers={"Authorization": f"Bearer {settings.mistral_api_key}"})
                 if resp.status_code == 200:
                     for item in resp.json().get("data", []):
-                        try:
-                            m_id = item["id"]
-                            models_to_process[m_id] = {"provider": "mistral", "name": m_id.capitalize(), "desc": "Modèle officiel Mistral AI.", "domain": determine_domain(m_id), "is_free": False, "ctx": 32000, "pp": 0.2, "pc": 0.6}
-                        except: pass
+                        m_id = item["id"]
+                        models_to_process[m_id] = {"provider": "mistral", "name": m_id.capitalize(), "desc": "Modèle officiel développé par Mistral AI.", "domain": determine_domain(m_id), "is_free": False, "ctx": 32000, "pp": 0.2, "pc": 0.6}
             except Exception: pass
 
-        # 5. Gemini (Google)
         if settings.gemini_api_key:
             try:
                 resp = await client.get(f"https://generativelanguage.googleapis.com/v1beta/models?key={settings.gemini_api_key}")
                 if resp.status_code == 200:
                     for item in resp.json().get("models", []):
-                        try:
-                            m_id = item["name"].replace("models/", "")
-                            desc = item.get("description", "Modèle Google Gemini.")[:200] + "..."
-                            models_to_process[m_id] = {"provider": "gemini", "name": item.get("displayName", m_id), "desc": desc, "domain": determine_domain(m_id), "is_free": True, "ctx": item.get("inputTokenLimit", 32000), "pp": 0.0, "pc": 0.0}
-                        except: pass
+                        m_id = item["name"].replace("models/", "")
+                        models_to_process[m_id] = {"provider": "gemini", "name": item.get("displayName", m_id), "desc": "Modèle natif de l'écosystème Google Gemini.", "domain": determine_domain(m_id), "is_free": True, "ctx": item.get("inputTokenLimit", 32000), "pp": 0.0, "pc": 0.0}
             except Exception: pass
 
-        # 6. Cloudflare
         if settings.cloudflare_account_id and settings.cloudflare_api_token:
             try:
                 url = f"https://api.cloudflare.com/client/v4/accounts/{settings.cloudflare_account_id}/ai/models/search"
                 resp = await client.get(url, headers={"Authorization": f"Bearer {settings.cloudflare_api_token}"})
                 if resp.status_code == 200:
                     for item in resp.json().get("result", []):
-                        try:
-                            m_id = item.get("name")
-                            desc = item.get("description", "Modèle Cloudflare Workers AI.")[:200] + "..."
-                            models_to_process[m_id] = {"provider": "cloudflare", "name": m_id.split("/")[-1], "desc": desc, "domain": determine_domain(m_id), "is_free": True, "ctx": 4096, "pp": 0.0, "pc": 0.0}
-                        except: pass
+                        m_id = item.get("name")
+                        models_to_process[m_id] = {"provider": "cloudflare", "name": m_id.split("/")[-1], "desc": "Modèle Serverless Cloudflare Workers AI.", "domain": determine_domain(m_id), "is_free": True, "ctx": 4096, "pp": 0.0, "pc": 0.0}
             except Exception: pass
 
-    # --- Phase d'enregistrement sécurisée ---
-    for m_id, data in models_to_process.items():
+    # Phase de traduction asynchrone pour les modèles OpenRouter (les autres sont déjà en français natif)
+    sem = asyncio.Semaphore(15)
+    async def process_and_translate(m_id, data, client_session):
+        async with sem:
+            if "desc_en" in data:
+                data["desc"] = await translate_en_to_fr(client_session, data["desc_en"])
+            return m_id, data
+
+    async with httpx.AsyncClient(timeout=30.0) as client_trans:
+        tasks = [process_and_translate(m_id, data, client_trans) for m_id, data in models_to_process.items()]
+        translated_results = await asyncio.gather(*tasks)
+
+    for m_id, data in translated_results:
         try:
             existing = db.query(AIModel).filter(AIModel.model_id == m_id).first()
             if existing:
-                existing.pricing_prompt = data["pp"]; existing.pricing_completion = data["pc"]; existing.is_free = data["is_free"]; existing.last_updated = datetime.now(timezone.utc)
+                existing.pricing_prompt = data["pp"]; existing.pricing_completion = data["pc"]; existing.is_free = data["is_free"]; existing.description_fr = data["desc"]; existing.last_updated = datetime.now(timezone.utc)
             else:
                 db.add(AIModel(provider=data["provider"], model_id=m_id, name=data["name"], description_fr=data["desc"], domain=data["domain"], is_free=data["is_free"], context_length=data["ctx"], pricing_prompt=data["pp"], pricing_completion=data["pc"]))
             added += 1
-            # Commit très fréquent pour éviter les gros blocs qui plantent
-            if added % 50 == 0:
-                db.commit()
-        except IntegrityError:
-            db.rollback() # Si conflit, on annule cette insertion et on continue
-        except Exception:
-            db.rollback()
+            if added % 50 == 0: db.commit()
+        except IntegrityError: db.rollback()
+        except Exception: db.rollback()
 
     try:
         settings.last_sync_date = datetime.now(timezone.utc)
@@ -180,13 +171,11 @@ async def sync_providers_models(db: Session, settings: SystemSettings, sync_type
         db.commit()
     except Exception as e:
         db.rollback()
-        print(f"Erreur DB Commit Sync: {e}")
         
     await sync_finances(db, settings)
     return {"status": "success", "models_processed": added}
 
 def get_client_for_model(db: Session, model_id: str, settings: SystemSettings):
-    """Récupère dynamiquement le bon client OpenAI en fonction du fournisseur du modèle."""
     model_db = db.query(AIModel).filter(AIModel.model_id == model_id).first()
     provider = model_db.provider if model_db else "openrouter"
 
@@ -217,26 +206,39 @@ async def run_orchestrator(db: Session, history: list, settings: SystemSettings,
 
     final_response = ""
     try:
+        # Étape 1 : Le prompteur traduit et optimise la requête en ANGLAIS pour les travailleurs
+        p_mod = config.get("prompter", "gemini-3.5-flash-lite")
+        p_client, p_prov = get_client_for_model(db, p_mod, settings)
+        prompt_system = "You are an expert prompt engineer. Translate and optimize the user request into clear, precise English tailored for AI execution."
+        optimized = await ask_agent(p_client, p_mod, [{"role": "system", "content": prompt_system}, {"role": "user", "content": user_prompt}], p_prov)
+
         if len(workers) == 1:
             w_mod = workers[0]
             client, provider = get_client_for_model(db, w_mod, settings)
-            final_response = await ask_agent(client, w_mod, formatted_history + [{"role": "user", "content": user_prompt}], provider)
+            worker_response = await ask_agent(client, w_mod, formatted_history + [{"role": "user", "content": optimized}], provider)
+            responses = [worker_response]
         else:
-            p_mod = config.get("prompter", "gemini-3.5-flash-lite")
-            p_client, p_prov = get_client_for_model(db, p_mod, settings)
-            optimized = await ask_agent(p_client, p_mod, [{"role": "system", "content": "Optimise cette requête."}, {"role": "user", "content": user_prompt}], p_prov)
-
             w_tasks = []
             for w in workers:
                 w_client, w_prov = get_client_for_model(db, w, settings)
                 w_tasks.append(ask_agent(w_client, w, formatted_history + [{"role": "user", "content": optimized}], w_prov))
-                
             responses = await asyncio.gather(*w_tasks, return_exceptions=True)
 
-            c_mod = config.get("concatenator", "gemini-3.5-flash-lite")
-            c_client, c_prov = get_client_for_model(db, c_mod, settings)
-            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."
-            final_response = await ask_agent(c_client, c_mod, [{"role": "user", "content": synth}], c_prov)
+        # Étape 2 : Le concaténeur synthétise et traduit le retour en FRANÇAIS (en préservant le code et les commentaires)
+        c_mod = config.get("concatenator", "gemini-3.5-flash-lite")
+        c_client, c_prov = get_client_for_model(db, c_mod, settings)
+        
+        concat_system = (
+            "You are a master lead developer and technical synthesizer. "
+            "Synthesize the provided expert responses into a single cohesive response. "
+            "Translate all explanatory text, descriptions, and user-facing prose into natural French. "
+            "CRITICAL: Do NOT translate code blocks, programming keywords, or source code contents. "
+            "You may translate code comments into French if appropriate, but leave code syntax strictly intact."
+        )
+        
+        synth = f"User Request: {user_prompt}\n\n" + "\n".join([f"--- EXPERT {i+1} ---\n{r}" for i, r in enumerate(responses)])
+        final_response = await ask_agent(c_client, c_mod, [{"role": "system", "content": concat_system}, {"role": "user", "content": synth}], c_prov)
+
     except Exception as e:
         final_response = f"L'IA a rencontré une erreur critique: {str(e)}"
     

backend/schemas.py

@@ -44,14 +44,17 @@ class OrchestratorConfig(BaseModel):
     prompter: Optional[str] = "gemini-3.5-flash-lite"
     concatenator: Optional[str] = "gemini-3.5-flash-lite"
 
+class AttachedFile(BaseModel):
+    name: str
+    content: str
+
 class MessageBase(BaseModel):
     role: str
     content: str
 
 class MessageCreate(MessageBase):
     config: Optional[OrchestratorConfig] = None
-    file_content: Optional[str] = None
-    file_name: Optional[str] = None
+    files: Optional[List[AttachedFile]] = None
 
 class MessageResponse(MessageBase):
     id: int

frontend/dashboard.html

@@ -296,7 +296,7 @@
                 <div class="p-4 md:p-6 w-full max-w-7xl mx-auto space-y-2 flex-shrink-0">
                     <div class="grid grid-cols-9 border border-black bg-gray-900 rounded-lg overflow-hidden text-center text-xs font-bold shadow-lg">
                         
-                        <!-- 1. PAYANT / GRATUIT -->
+                        <!-- 1. PAYANT / GRATUIT (Filtre par colonne local sans impacter workers) -->
                         <div class="border-r border-black p-1.5 bg-gray-800 flex flex-col justify-center">
                             <label class="block text-[9px] text-gray-400 mb-1">PRIX</label>
                             <select v-model="colPricing" class="w-full bg-aethas-dark border border-gray-700 rounded text-gray-200 text-[10px] p-1 outline-none">
@@ -306,7 +306,7 @@
                             </select>
                         </div>
 
-                        <!-- 2. TYPE (DOMAINE) -->
+                        <!-- 2. TYPE (DOMAINE) (Filtre par colonne local sans impacter workers) -->
                         <div class="border-r border-black p-1.5 bg-gray-800 flex flex-col justify-center">
                             <label class="block text-[9px] text-gray-400 mb-1">TYPE</label>
                             <select v-model="colDomain" class="w-full bg-aethas-dark border border-gray-700 rounded text-gray-200 text-[10px] p-1 outline-none">
@@ -383,19 +383,28 @@
 
                     </div>
 
-                    <!-- Champ de texte et boutons d'envoi / fichiers -->
-                    <div class="relative flex items-end bg-gray-800 border border-gray-600 rounded-2xl p-2 shadow-lg focus-within:border-aethas-cyan">
-                        <!-- Bouton d'import de fichiers -->
-                        <label class="p-3 text-gray-400 hover:text-aethas-cyan cursor-pointer transition-colors" title="Joindre un fichier (code, texte, script, etc.)">
-                            <i data-lucide="paperclip" class="w-5 h-5"></i>
-                            <input type="file" @change="handleFileUpload" class="hidden">
-                        </label>
-
-                        <textarea v-model="prompt" @input="autoResize" @paste="handlePaste" @keydown.enter.exact.prevent="sendMessage" ref="promptTextarea" :disabled="isAiThinking" rows="1" class="w-full bg-transparent text-gray-200 p-3 max-h-[200px] overflow-y-auto focus:outline-none resize-none disabled:opacity-50 custom-scrollbar" :placeholder="attachedFile ? 'Fichier attaché : ' + attachedFile.name : 'Posez votre question ou glissez un fichier ici...'"></textarea>
+                    <!-- Champ de texte et boutons d'envoi / multi-fichiers (jusqu'à 10) -->
+                    <div class="relative flex items-end bg-gray-800 border border-gray-600 rounded-2xl p-2 shadow-lg focus-within:border-aethas-cyan flex-col gap-2">
                         
-                        <button v-if="attachedFile" @click="removeFile" class="p-2 text-red-400 hover:text-red-300 text-xs flex items-center gap-1 mr-2" title="Retirer le fichier"><i data-lucide="x-circle" class="w-4 h-4"></i></button>
+                        <!-- Liste des fichiers attachés (max 10) -->
+                        <div v-if="attachedFiles.length > 0" class="w-full flex flex-wrap gap-2 px-2 pt-2">
+                            <div v-for="(file, index) in attachedFiles" :key="index" class="bg-gray-900 border border-gray-700 rounded px-2 py-1 text-xs text-gray-300 flex items-center gap-2">
+                                <i data-lucide="file" class="w-3.5 h-3.5 text-aethas-cyan"></i>
+                                <span class="truncate max-w-[150px]">{{ file.name }}</span>
+                                <button @click="removeFile(index)" class="text-red-400 hover:text-red-300"><i data-lucide="x" class="w-3 h-3"></i></button>
+                            </div>
+                        </div>
 
-                        <button @click="sendMessage" :disabled="(!prompt.trim() && !attachedFile) || isAiThinking" class="p-3 text-aethas-cyan hover:text-white disabled:opacity-50"><i data-lucide="send" class="w-5 h-5"></i></button>
+                        <div class="w-full flex items-end">
+                            <label class="p-3 text-gray-400 hover:text-aethas-cyan cursor-pointer transition-colors" title="Joindre des fichiers (max 10)">
+                                <i data-lucide="paperclip" class="w-5 h-5"></i>
+                                <input type="file" multiple @change="handleFileUpload" class="hidden">
+                            </label>
+
+                            <textarea v-model="prompt" @input="autoResize" @paste="handlePaste" @keydown.enter.exact.prevent="sendMessage" ref="promptTextarea" :disabled="isAiThinking" rows="1" class="w-full bg-transparent text-gray-200 p-3 max-h-[200px] overflow-y-auto focus:outline-none resize-none disabled:opacity-50 custom-scrollbar" :placeholder="attachedFiles.length > 0 ? attachedFiles.length + ' fichier(s) attaché(s)' : 'Posez votre question ou glissez jusqu\'à 10 fichiers ici...'"></textarea>
+                            
+                            <button @click="sendMessage" :disabled="(!prompt.trim() && attachedFiles.length === 0) || isAiThinking" class="p-3 text-aethas-cyan hover:text-white disabled:opacity-50"><i data-lucide="send" class="w-5 h-5"></i></button>
+                        </div>
                     </div>
                 </div>
             </template>
@@ -441,7 +450,7 @@
             const selectedPrompter = ref("gemini-3.5-flash-lite");
             const selectedConcatenator = ref("gemini-3.5-flash-lite");
 
-            const attachedFile = ref(null);
+            const attachedFiles = ref([]); 
 
             const pinnedProjects = computed(() => projects.value.filter(p => p.is_pinned));
             const recentProjects = computed(() => projects.value.filter(p => !p.is_pinned));
@@ -492,7 +501,31 @@
                     if(res.ok) { 
                         await fetchModelsInfo(); 
                         await fetchFinances();
-                        alert("Synchronisation réussie !"); 
+                        
+                        // GENERATION DU FICHIER MARKDOWN A L'EXTRACTION
+                        let mdContent = `# Extraction des Modèles IA - AETHAS38\n\n`;
+                        const d = new Date();
+                        const dateStr = d.getFullYear() + String(d.getMonth()+1).padStart(2, '0') + String(d.getDate()).padStart(2, '0');
+                        mdContent += `**Date d'extraction :** ${d.toLocaleDateString('fr-FR')} à ${d.toLocaleTimeString('fr-FR')}\n\n`;
+                        
+                        const providers = [...new Set(modelInfo.models.map(m => m.provider))];
+                        providers.forEach(prov => {
+                            mdContent += `## Fournisseur : ${prov.toUpperCase()}\n\n`;
+                            const provModels = modelInfo.models.filter(m => m.provider === prov);
+                            provModels.forEach(m => {
+                                const priceInfo = m.is_free ? "**GRATUIT**" : `In: $${m.pricing_prompt.toFixed(2)} / Out: $${m.pricing_completion.toFixed(2)}`;
+                                const ctxInfo = `${(m.context_length / 1000).toFixed(0)}k`;
+                                mdContent += `- **${m.name || m.model_id}** (\`${m.model_id}\`)\n`;
+                                mdContent += `  - *Domaine :* ${m.domain}\n`;
+                                mdContent += `  - *Prix (1M tokens) :* ${priceInfo}\n`;
+                                mdContent += `  - *Contexte :* ${ctxInfo}\n`;
+                                mdContent += `  - *Description :* ${m.description_fr.replace(/\n/g, ' ')}\n\n`;
+                            });
+                        });
+
+                        const filename = `${dateStr}-extraction-modèles.md`;
+                        downloadFile(mdContent, filename);
+                        alert("Synchronisation réussie ! Le fichier markdown a été généré et téléchargé."); 
                     } else {
                         let errText = await res.text();
                         try { const errObj = JSON.parse(errText); errText = errObj.detail || errText; } catch(e){}
@@ -516,9 +549,15 @@
             };
 
             const handleFileUpload = (event) => {
-                const file = event.target.files[0];
-                if (!file) return;
-                processFile(file);
+                const files = event.target.files;
+                if (!files) return;
+                for (let i = 0; i < files.length; i++) {
+                    if (attachedFiles.value.length >= 10) {
+                        alert("Maximum 10 fichiers autorisés par message.");
+                        break;
+                    }
+                    processFile(files[i]);
+                }
                 event.target.value = null;
             };
 
@@ -528,7 +567,13 @@
                     let item = items[index];
                     if (item.kind === 'file') {
                         let file = item.getAsFile();
-                        if (file) processFile(file);
+                        if (file) {
+                            if (attachedFiles.value.length >= 10) {
+                                alert("Maximum 10 fichiers autorisés par message.");
+                                break;
+                            }
+                            processFile(file);
+                        }
                     }
                 }
             };
@@ -536,12 +581,12 @@
             const processFile = (file) => {
                 const reader = new FileReader();
                 reader.onload = (e) => {
-                    attachedFile.value = { name: file.name, content: e.target.result };
+                    attachedFiles.value.push({ name: file.name, content: e.target.result });
                 };
                 reader.readAsText(file);
             };
 
-            const removeFile = () => { attachedFile.value = null; };
+            const removeFile = (index) => { attachedFiles.value.splice(index, 1); };
 
             const exportProject = (format) => { if(activeProject.value) window.open(`/api/projects/${activeProject.value.id}/export?format=${format}`, '_blank'); };
             const copyToClipboard = async (text) => { try { await navigator.clipboard.writeText(text); alert("Copié !"); } catch (e) {} };
@@ -555,7 +600,7 @@
 
             const sendMessage = async () => {
                 const activeWorkers = workers.value.filter(w => w && w.trim() !== "");
-                if ((!prompt.value.trim() && !attachedFile.value) || !activeProject.value || activeWorkers.length === 0) {
+                if ((!prompt.value.trim() && attachedFiles.value.length === 0) || !activeProject.value || activeWorkers.length === 0) {
                     alert("Veuillez sélectionner au moins un travailleur et rédiger ou joindre un contenu.");
                     return;
                 }
@@ -563,24 +608,25 @@
                 prompt.value = ""; 
                 autoResize();
                 
-                messages.value.push({ id: Date.now(), role: 'user', content: userText + (attachedFile.value ? `\n[Fichier joint: ${attachedFile.value.name}]` : "") });
+                const fileNames = attachedFiles.value.map(f => f.name).join(", ");
+                messages.value.push({ id: Date.now(), role: 'user', content: userText + (attachedFiles.value.length > 0 ? `\n[Fichiers joints: ${fileNames}]` : "") });
                 isAiThinking.value = true; 
                 scrollToBottom();
                 
+                const payloadFiles = [...attachedFiles.value];
+
                 const payload = { 
                     role: 'user', 
-                    content: userText || "Analyse ce fichier joint.", 
+                    content: userText || "Analyse ces fichiers joints.", 
                     config: { 
                         workers: activeWorkers, 
                         prompter: selectedPrompter.value, 
                         concatenator: selectedConcatenator.value 
                     },
-                    file_content: attachedFile.value ? attachedFile.value.content : null,
-                    file_name: attachedFile.value ? attachedFile.value.name : null
+                    files: payloadFiles
                 };
 
-                // DESTRUCTION IMMÉDIATE DU FICHIER CÔTÉ FRONTEND APRÈS ENVOI
-                attachedFile.value = null;
+                attachedFiles.value = [];
 
                 try {
                     const response = await fetch(`/api/projects/${activeProject.value.id}/messages`, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(payload) });
@@ -615,7 +661,7 @@
                 isSettingsModalOpen, openSettings, closeSettings, passForm, settingsMessage, isSavingSettings, changePassword, uploadAvatar,
                 modelInfo, financesList, filterSearch, filterDomain, filterPricing, filteredModels, getFilteredModelsForCol, formatDate, syncModels, isSyncing,
                 workers, selectedPrompter, selectedConcatenator, colPricing, colDomain,
-                attachedFile, handleFileUpload, handlePaste, removeFile,
+                attachedFiles, handleFileUpload, handlePaste, removeFile,
                 exportProject, copyToClipboard, downloadFile, downloadMessage, parseMessage
             };
         }