fix(agent): v4.13.1 - actions contenu document (resume/traduire/ameliorer/meeting) sans outils, apercu + appliquer/rejeter, mock ignore contexte

app/routers/agent.py

@@ -310,6 +310,62 @@ async def run_conversation(request: Request, conversation_id: int):
     )
 
 
+@router.post("/generate")
+async def agent_generate(request: Request):
+    """Headless text generation (NO tools) for content actions on documents.
+
+    Used by the Agent panel's contextual actions ("Résumer ce document",
+    "Traduire cette page", "Proposer des améliorations", "AI meeting note").
+    Because no tool schema is offered, the model answers with plain text based on
+    the provided document context instead of issuing search_workspace / tools.
+    """
+    user_id = await _current_user_id(request)
+    body = await request.json() if request.headers.get("content-type") else {}
+    prompt = (body.get("prompt") or "").strip()
+    if not prompt:
+        raise HTTPException(status_code=400, detail="prompt est requis")
+    provider = (body.get("provider") or "").strip().lower() or None
+    model = (body.get("model") or "").strip() or None
+    context = (body.get("context") or "") or ""
+
+    llm = LLMClient()
+    if provider:
+        if provider not in PROVIDERS:
+            raise HTTPException(status_code=400, detail=f"Provider inconnu: {provider}")
+        user_key = get_user_llm_key(user_id, provider)
+        if user_key and user_key.get("api_key"):
+            llm = LLMClient(provider=provider, api_key=user_key["api_key"],
+                            api_base=(user_key.get("api_base") or "").strip() or None)
+        else:
+            llm = LLMClient(provider=provider)
+    offline = llm.provider == "offline" or not llm._has_credentials()
+
+    system = (
+        "Tu es l'assistant d'édition de FlowDeck (contenu). "
+        "Réponds UNIQUEMENT avec le texte demandé, en Markdown léger "
+        "(paragraphes, listes à puces, titres si utile). "
+        "N'ajoute aucun préambule, aucun commentaire, aucun bloc de code autour du texte. "
+        "Fonde ta réponse sur le contexte du document fourni."
+    )
+    user_content = prompt
+    if context and context.strip():
+        user_content += "\n\n# Contexte du document\n" + context.strip()[:20000]
+    messages = [
+        {"role": "system", "content": system},
+        {"role": "user", "content": user_content},
+    ]
+    try:
+        resp = await llm.complete(messages, model=model or None, tools=None, stream=False)
+    except Exception as exc:  # noqa: BLE001 — surface connectivity errors
+        return {"ok": False, "error": str(exc), "offline": offline, "model": model or ""}
+    return {
+        "ok": True,
+        "text": (resp.text or "").strip(),
+        "model": resp.model or model or "",
+        "offline": offline,
+    }
+
+
 # ── Audit & rollback ──