fix(cache): honest settings card — clean threshold, live stats, no-embedder warning
Full audit of the semantic cache against a live instance (mock embedder, identical requests): the mechanism works — miss at 3.1s, then hits at 2ms with entries/hits/saved-$ counting. Two honest gaps fixed: - the threshold round-tripped through f32 and rendered as 0.9200000166893005 in both the TOML and the settings input — the config field is f64 now (writes exactly what you typed) and the input rounds legacy values to 2 decimals; - the card now shows proof of life (entries / hits / hit-rate / saved $) and, when the cache is enabled with NO embedding model available, a warning that it is silently doing nothing and how to fix it — previously that state looked identical to a working cache. Also audited in the same pass, no changes needed: Prometheus /metrics (toggle on/off applies live, 404 when off), and all 7 protocol switches (each gates its endpoint instantly both ways). 4 strings ×7 languages.
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Vendored
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@@ -635,4 +635,8 @@ export default {
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"tier.medium": "mittel",
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"tier.high": "schwer",
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"bm.scoreHint": "Der kontinuierliche Komplexitätsscore des Routers (0..1) — die Grenzregler auf der Routing-Seite teilen ihn in Stufen.",
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"settings.cache.noEmbed": "Der Cache ist aktiviert, hat aber KEIN Embedding-Modell — er tut nichts. Fügen Sie dem Pool ein Modell mit kind = \"embedding\" hinzu (z. B. OpenAI text-embedding) oder wählen Sie unten eines.",
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"settings.cache.entries": "Einträge",
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"settings.cache.hits": "Treffer",
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"settings.cache.saved": "gespart",
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};
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Vendored
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@@ -628,4 +628,8 @@ export default {
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"tier.medium": "medium",
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"tier.high": "high",
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"bm.scoreHint": "The router's continuous complexity score (0..1) — the boundary sliders on the Routing page cut it into tiers.",
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"settings.cache.noEmbed": "The cache is enabled but has NO embedding model to work with — it is doing nothing. Add a model with kind = \"embedding\" to the pool (e.g. an OpenAI text-embedding model) or pick one below.",
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"settings.cache.entries": "entries",
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"settings.cache.hits": "hits",
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"settings.cache.saved": "saved",
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};
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Vendored
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@@ -635,4 +635,8 @@ export default {
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"tier.medium": "medio",
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"tier.high": "difícil",
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"bm.scoreHint": "La puntuación continua de complejidad del router (0..1) — los deslizadores de límites de la página Enrutado la dividen en niveles.",
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"settings.cache.noEmbed": "La caché está activada pero NO tiene modelo de embeddings — no hace nada. Añade al pool un modelo con kind = \"embedding\" (p. ej. OpenAI text-embedding) o elige uno abajo.",
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"settings.cache.entries": "entradas",
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"settings.cache.hits": "aciertos",
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"settings.cache.saved": "ahorrado",
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};
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Vendored
+4
@@ -635,4 +635,8 @@ export default {
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"tier.medium": "moyen",
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"tier.high": "difficile",
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"bm.scoreHint": "Le score de complexité continu du routeur (0..1) — les curseurs de limites de la page Routage le découpent en niveaux.",
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"settings.cache.noEmbed": "Le cache est activé mais n'a AUCUN modèle d'embedding — il ne fait rien. Ajoutez au pool un modèle avec kind = \"embedding\" (p. ex. OpenAI text-embedding) ou choisissez-en un ci-dessous.",
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"settings.cache.entries": "entrées",
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"settings.cache.hits": "hits",
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"settings.cache.saved": "économisé",
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};
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Vendored
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@@ -627,4 +627,8 @@ export default {
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"tier.medium": "средний",
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"tier.high": "сложный",
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"bm.scoreHint": "Непрерывный коэффициент сложности роутера (0..1) — ползунки границ на вкладке Роутинг нарезают его на уровни.",
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"settings.cache.noEmbed": "Кэш включён, но embedding-модели нет — он ничего не делает. Добавьте в пул модель с kind = \"embedding\" (например, OpenAI text-embedding) или выберите её ниже.",
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"settings.cache.entries": "записей",
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"settings.cache.hits": "попаданий",
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"settings.cache.saved": "сэкономлено",
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};
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Vendored
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@@ -635,4 +635,8 @@ export default {
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"tier.medium": "orta",
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"tier.high": "zor",
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"bm.scoreHint": "Yönlendiricinin sürekli karmaşıklık puanı (0..1) — Yönlendirme sayfasındaki sınır kaydırıcıları onu katmanlara böler.",
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"settings.cache.noEmbed": "Önbellek açık ama çalışacağı bir embedding modeli YOK — hiçbir şey yapmıyor. Havuza kind = \"embedding\" olan bir model ekleyin (örn. OpenAI text-embedding) veya aşağıdan seçin.",
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"settings.cache.entries": "kayıt",
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"settings.cache.hits": "isabet",
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"settings.cache.saved": "tasarruf",
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};
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Vendored
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@@ -635,4 +635,8 @@ export default {
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"tier.medium": "中等",
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"tier.high": "困难",
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"bm.scoreHint": "路由器的连续复杂度得分(0..1)— 路由页面上的边界滑块将其划分为层级。",
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"settings.cache.noEmbed": "缓存已启用,但没有可用的 embedding 模型 — 它没有任何作用。请向模型池添加 kind = \"embedding\" 的模型(如 OpenAI text-embedding),或在下方选择。",
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"settings.cache.entries": "条目",
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"settings.cache.hits": "命中",
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"settings.cache.saved": "已节省",
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};
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