fix(agent): validation robuste des modeles Nvidia (payload production + repli 404/410) + logo noir/blanc

Validation:
- _validate_chat_models utilise le payload de production (temperature 0.2,
  sans max_tokens) : un 200 a la validation == 200 a l'usage reel.
- Race corrigee : payload reconstruit par modele (plus de noms croises entre
  requetes concurrentes) — la v5.1.8 retombait par intermittence sur la liste
  brute (68 modeles dont la plupart en 404/410).
- Retente une fois sur timeout/5xx (les modeles lents mais fonctionnels
  survivent) ; rejette les 4xx (404 inconnu, 410 retire) ; garde les 429.
- Verifie en live contre l'API NVIDIA : 12 modeles valides au lieu de 68.

Repli runtime:
- LLMClient._http_complete : sur 404/410, retente une fois avec le modele par
  defaut du provider et marque un notice dans LLMResponse.
- AgentEngine emet un evenement SSE "notice" (bandeau .fd-ap-notice dans le
  panneau Agent, reset a chaque conversation) ; le modele reel est persistee.

UI:
- FAB (rond bas droite) et logo header du panneau : rond noir/blanc qui suit
  le theme clair/sombre (--text-primary / --bg-primary), eclair monochrome
  SVG a la place de l'emoji robot.

Tests:
- 2 nouveaux tests (429 garde / 410 retire ; repli runtime sur 410).
- 278 tests passent.

app/main.py

@@ -60,7 +60,7 @@ async def lifespan(_app: FastAPI):
 
 app = FastAPI(
     title="FlowDeck",
-    version="5.1.8",
+    version="5.1.9",
     docs_url="/docs" if settings.log_level == "DEBUG" else None,
     redoc_url=None,
     lifespan=lifespan,

app/services/agent_engine.py

@@ -154,6 +154,7 @@ class AgentEngine:
 
         tool_schema = self.tools.schema(scope)
         final_text = None
+        used_model = model or ""  # peut être ajusté par un repli de modèle (404/410)
 
         try:
             for step in range(settings.agent_max_iterations or MAX_ITERATIONS):
@@ -167,6 +168,11 @@ class AgentEngine:
                 )
                 self._tokens += response.usage.get("total_tokens", 0) or 0
 
+                if getattr(response, "notice", ""):
+                    yield self._event("notice", {"message": response.notice})
+
+                used_model = getattr(response, "model", "") or used_model
+
                 if response.text and response.text.strip():
                     yield self._event("reasoning", {"content": response.text})
 
@@ -242,7 +248,7 @@ class AgentEngine:
                 yield self._event("final", {"content": final_text})
 
             self._persist_message(conversation_id, "assistant", final_text,
-                                  model=model, tokens=self._tokens)
+                                  model=used_model, tokens=self._tokens)
             await self._autotitle(conversation_id, objective, final_text)
 
         except Exception as exc:  # noqa: BLE001

app/services/llm_client.py

@@ -85,6 +85,7 @@ class LLMResponse:
     tool_calls: list[dict] = field(default_factory=list)
     model: str = ""
     usage: dict = field(default_factory=dict)
+    notice: str = ""
 
 
 class LLMClient:
@@ -161,7 +162,7 @@ class LLMClient:
     def _endpoint(self) -> str:
         return f"{self.api_base.rstrip('/')}/chat/completions"
 
-    async def _http_complete(self, messages, model, tools) -> LLMResponse:
+    async def _http_complete(self, messages, model, tools, *, _noticer: str = "") -> LLMResponse:
         payload: dict = {
             "model": model,
             "messages": messages,
@@ -173,11 +174,34 @@ class LLMClient:
         headers = {"Content-Type": "application/json"}
         if self.api_key:
             headers["Authorization"] = f"Bearer {self.api_key}"
-        async with httpx.AsyncClient(timeout=settings.agent_run_timeout_seconds) as client:
-            resp = await client.post(self._endpoint(), json=payload, headers=headers)
-            resp.raise_for_status()
-            data = resp.json()
+        try:
+            async with httpx.AsyncClient(timeout=settings.agent_run_timeout_seconds) as client:
+                resp = await client.post(self._endpoint(), json=payload, headers=headers)
+                resp.raise_for_status()
+                data = resp.json()
+        except httpx.HTTPStatusError as exc:
+            # Repli robuste : le modèle choisi a été retiré / n'existe plus
+            # (404 « model not found » / 410 « has reached its end of life »).
+            # Au lieu d'échouer, on retente UNE fois avec le modèle par défaut du
+            # provider et on signale le basculement — la liste validée peut avoir
+            # vieilli (modèle déprécié entre deux rafraîchissements).
+            if exc.response.status_code in (404, 410) \
+                    and model and self.default_model and model != self.default_model:
+                logger.warning(
+                    "Model '%s' unavailable (%s) on %s — retrying with default '%s'",
+                    model, exc.response.status_code, self.provider, self.default_model,
+                )
+                return await self._http_complete(messages, self.default_model, tools, _noticer=(
+                    f"Le modèle « {model} » n'est plus disponible ({exc.response.status_code}). "
+                    f"Réponse générée avec « {self.default_model} » à la place."
+                ))
+            raise
 
+        response = self._parse_response(data, model)
+        response.notice = _noticer or ""
+        return response
+
+    def _parse_response(self, data: dict, model: str) -> LLMResponse:
         choice = data["choices"][0]["message"]
         text = choice.get("content") or ""
         tool_calls = []
@@ -193,7 +217,6 @@ class LLMClient:
                 "arguments": args,
                 "arguments_raw": fn.get("arguments") or "",
             })
-
         return LLMResponse(
             text=text,
             tool_calls=tool_calls,

app/services/llm_config.py

@@ -351,44 +351,52 @@ async def fetch_provider_models(provider: str, *, api_key: str = "",
 
 
 async def _validate_chat_models(base_url: str, api_key: str, candidates: list[str],
-                                *, timeout: float = 6.0, concurrency: int = 6,
-                                deadline: float = 55.0) -> list[str]:
-    """Probe `POST {base_url}/chat/completions` for each candidate with a minimal
-    payload and keep the models that accept it. A 429 (rate limit) is treated as
-    "probably fine" since it proves the model is routed, not that it's invalid."""
+                                *, timeout: float = 12.0, concurrency: int = 5,
+                                deadline: float = 90.0, attempts: int = 2) -> list[str]:
+    """Probe `POST {base_url}/chat/completions` for each candidate and keep only
+    the models that genuinely answer — using the exact payload the app sends at
+    runtime (`temperature: 0.2`, no `max_tokens`).
+
+    Hard failures (404 model inconnu, 410 modèle retiré…) exclude the model.
+    A 429 (rate limit) is kept: it proves the route exists, so the model is
+    usable once the quota frees up. Transient failures (timeouts, 5xx, network)
+    are retried once before giving up, so slow-but-working models survive.
+    """
     import asyncio
     import httpx
 
-    valid: list[str] = []
     sem = asyncio.Semaphore(concurrency)
     start = time.monotonic()
     headers = {"Content-Type": "application/json"}
     if api_key:
         headers["Authorization"] = f"Bearer {api_key}"
-    payload: dict = {
-        "model": None,
+    url = f"{base_url.rstrip('/')}/chat/completions"
+    payload_tpl = {
         "messages": [{"role": "user", "content": "ping"}],
-        "max_tokens": 4,
+        "temperature": 0.2,
     }
 
     async def probe(model: str) -> str | None:
         if time.monotonic() - start > deadline:
             return None
-        payload["model"] = model
-        try:
-            async with sem:
-                async with httpx.AsyncClient(timeout=timeout) as client:
-                    resp = await client.post(
-                        f"{base_url}/chat/completions", headers=headers, json=payload
-                    )
-            if resp.status_code < 300 or resp.status_code == 429:
-                return model
-        except Exception:  # noqa: BLE001 — réseau/timeout ⇒ rejeté
-            return None
+        payload: dict = {"model": model, **payload_tpl}
+        for attempt in range(attempts):
+            if time.monotonic() - start > deadline:
+                return None
+            try:
+                async with sem:
+                    async with httpx.AsyncClient(timeout=timeout) as client:
+                        resp = await client.post(url, headers=headers, json=payload)
+                code = resp.status_code
+                if code < 300 or code == 429:
+                    return model
+                if code < 500:  # 400/401/403/404/410… → définitivement non utilisable
+                    return None
+                # 5xx → passage passager, on retente une fois
+            except Exception:  # noqa: BLE001 — timeouts / connexion → on retente
+                if attempt >= attempts - 1:
+                    return None
         return None
 
     results = await asyncio.gather(*(probe(m) for m in candidates))
-    for m in results:
-        if m:
-            valid.append(m)
-    return valid
+    return [m for m in results if isinstance(m, str)]

app/templates/agent_panel.html

@@ -1,7 +1,7 @@
 {# ════════════ FlowDeck Agent panel v4.13.0 — Notion-AI-style sidebar ════════════ #}
 <style>
-#fd-agent-fab{position:fixed;right:22px;bottom:22px;width:54px;height:54px;border-radius:50%;background:var(--accent,#2383E2);color:#fff;border:none;font-size:24px;cursor:pointer;box-shadow:0 8px 26px rgba(35,131,226,.5);display:flex;align-items:center;justify-content:center;z-index:1700;transition:transform .15s,box-shadow .15s}
-#fd-agent-fab:hover{transform:scale(1.06);box-shadow:0 12px 34px rgba(35,131,226,.62)}
+#fd-agent-fab{position:fixed;right:22px;bottom:22px;width:54px;height:54px;border-radius:50%;background:var(--text-primary,#37352F);color:var(--bg-primary,#fff);border:none;cursor:pointer;box-shadow:0 8px 26px rgba(0,0,0,.35);display:flex;align-items:center;justify-content:center;z-index:1700;transition:transform .15s,box-shadow .15s}
+#fd-agent-fab:hover{transform:scale(1.06);box-shadow:0 12px 34px rgba(0,0,0,.45)}
 #fd-agent-panel{position:fixed;top:0;right:0;bottom:0;width:470px;max-width:100vw;background:var(--bg-primary,#191919);border-left:1px solid var(--border,rgba(255,255,255,.1));z-index:1850;display:flex;flex-direction:column;box-shadow:-16px 0 48px rgba(0,0,0,.55);transform:translateX(102%);transition:transform .24s cubic-bezier(.16,1,.3,1)}
 #fd-agent-panel.open{transform:translateX(0)}
 #fd-agent-panel ::-webkit-scrollbar{width:8px;height:8px}
@@ -10,7 +10,7 @@
 
 /* Header */
 .fd-ap-head{display:flex;align-items:center;gap:12px;padding:16px 18px 12px}
-.fd-ap-logo{width:36px;height:36px;border-radius:50%;background:linear-gradient(135deg,var(--accent,#2383E2),#5b8def);color:#fff;display:flex;align-items:center;justify-content:center;font-size:19px;flex-shrink:0;box-shadow:0 4px 12px rgba(35,131,226,.35)}
+.fd-ap-logo{width:36px;height:36px;border-radius:50%;background:var(--text-primary,#37352F);color:var(--bg-primary,#fff);display:flex;align-items:center;justify-content:center;flex-shrink:0;box-shadow:0 2px 8px rgba(0,0,0,.25)}
 .fd-ap-head-main{flex:1;min-width:0}
 .fd-ap-title{font-size:15px;font-weight:600;color:var(--text,#f0f0f0);white-space:nowrap;overflow:hidden;text-overflow:ellipsis}
 .fd-ap-sub{font-size:11.5px;color:var(--text-dim,#9aa);margin-top:2px;white-space:nowrap;overflow:hidden;text-overflow:ellipsis}
@@ -64,6 +64,7 @@
 .fd-proposal-note{font-size:11px;color:var(--text-dim,#999)}
 .fd-agent-thinking{font-size:12.5px;color:var(--text-dim,#999);padding:10px 12px;border-radius:9px;background:rgba(255,255,255,.04);margin:4px 0 8px;font-style:italic}
 .fd-ap-err{color:#ef8a8a;font-size:12px;padding:4px 2px}
+.fd-ap-notice{color:var(--text-secondary,#ccc);font-size:12px;padding:7px 10px;margin:2px 0 8px;border-radius:9px;background:rgba(128,128,128,.12);border:1px solid var(--border,rgba(255,255,255,.12))}
 
 /* Composer */
 .fd-ap-composer{padding:10px 14px 14px;border-top:1px solid var(--border,rgba(255,255,255,.09));position:relative}
@@ -191,12 +192,12 @@
 </script>
 
 {# ── Floating button ── #}
-<button id="fd-agent-fab" title="FlowDeck Agent (Ctrl+J)" onclick="window.fdAgent&&window.fdAgent.toggle()">🤖</button>
+<button id="fd-agent-fab" title="FlowDeck Agent (Ctrl+J)" onclick="window.fdAgent&&window.fdAgent.toggle()"><svg viewBox="0 0 24 24" width="26" height="26" fill="currentColor" aria-hidden="true"><path d="M12 3l1.9 5.8a2 2 0 0 0 1.3 1.3L21 12l-5.8 1.9a2 2 0 0 0-1.3 1.3L12 21l-1.9-5.8a2 2 0 0 0-1.3-1.3L3 12l5.8-1.9a2 2 0 0 0 1.3-1.3L12 3Z"/></svg></button>
 
 {# ── Panel ── #}
 <div id="fd-agent-panel" class="fd-ap" :class="{open: open}" x-data="agentPanel()" @keydown.escape.window="close()" role="dialog" aria-label="Agent FlowDeck">
   <div class="fd-ap-head">
-    <span class="fd-ap-logo">🤖</span>
+    <span class="fd-ap-logo"><svg viewBox="0 0 24 24" width="19" height="19" fill="currentColor" aria-hidden="true"><path d="M12 3l1.9 5.8a2 2 0 0 0 1.3 1.3L21 12l-5.8 1.9a2 2 0 0 0-1.3 1.3L12 21l-1.9-5.8a2 2 0 0 0-1.3-1.3L3 12l5.8-1.9a2 2 0 0 0 1.3-1.3L12 3Z"/></svg></span>
     <div class="fd-ap-head-main">
       <div class="fd-ap-title">How can I help you today?</div>
       <div class="fd-ap-sub" x-text="providerModelLabel"></div>
@@ -276,6 +277,7 @@
           </div>
         </template>
         <div class="fd-agent-thinking" x-show="streaming">L'agent réfléchit et agit… <span x-text="liveReasoning"></span></div>
+        <div class="fd-ap-notice" x-show="notice" x-cloak x-text="notice"></div>
         <div class="fd-ap-err" x-show="errorMsg" x-text="errorMsg"></div>
       </div>
     </template>
@@ -412,7 +414,7 @@
       open: false, modelOpen: false, tab: 'chat',
       agents: [], conversations: [], currentConv: null,
       messages: [], input: '', streaming: false, liveReasoning: '',
-      provider: 'offline', providerAvailable: false, errorMsg: '',
+      provider: 'offline', providerAvailable: false, errorMsg: '', notice: '',
       allProviders: [], providers: [], providerModels: [], llmProvider: 'offline',
       llmModel: '', llmKeys: [], defaultProvider: 'offline',
       activeContext: null, ctxPinnedKey: null,
@@ -756,7 +758,7 @@
           .then(function(r){return r.json()}).then(function(d){
             var conv = {id:d.id, title:d.title, updated_at:new Date().toISOString()};
             self.conversations.unshift(conv); self.currentConv = conv;
-            self.messages = []; self.errorMsg=''; self.tab='chat';
+            self.messages = []; self.errorMsg=''; self.notice=''; self.tab='chat';
             self.contextChips = []; self.mentionOpen = false;
             self.$nextTick(function(){ self.resizeInput(); });
           }).catch(function(){});
@@ -773,7 +775,7 @@
         }).then(function(r){return r.json()}).then(function(d){
           var conv = {id:d.id, title:d.title, updated_at:new Date().toISOString()};
           self.conversations.unshift(conv); self.currentConv = conv;
-          self.messages = []; self.errorMsg=''; self.tab='chat';
+          self.messages = []; self.errorMsg=''; self.notice=''; self.tab='chat';
           self.contextChips = []; self.mentionOpen = false;
           self._ensuring = null;
           return conv;
@@ -1682,6 +1684,7 @@
                     self.messages.push({id:'f-'+Date.now(), role:'assistant', content: ev.content});
                     if(window.__fdInsertAI){ try{ var h=window.__fdInsertAI; window.__fdInsertAI=null; h(ev.content||''); }catch(e){} }
                   }
+                  else if(ev.type==='notice'){ self.notice = ev.message; }
                   else if(ev.type==='error'){ self.errorMsg = ev.message; }
                 }catch(e){}
               });