feat(analytics): integrate Langfuse with Keycloak SSO

Add certifai-langfuse OIDC client to Keycloak realm export and configure
the Langfuse Docker service with Keycloak SSO env vars (shared realm,
account linking, local auth disabled). Replace the iframe-based analytics
page with an informational landing since cross-origin SSO breaks in
iframes. Users open Langfuse in a new tab where the active Keycloak
session authenticates them transparently.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

.env.example

@@ -34,11 +34,10 @@ MONGODB_DATABASE=certifai
 SEARXNG_URL=http://localhost:8888
 
 # ---------------------------------------------------------------------------
-# LiteLLM proxy [OPTIONAL - defaults shown]
+# Ollama LLM instance [OPTIONAL - defaults shown]
 # ---------------------------------------------------------------------------
-LITELLM_URL=http://localhost:4000
+OLLAMA_URL=http://localhost:11434
-LITELLM_MODEL=qwen3-32b
+OLLAMA_MODEL=llama3.1:8b
-LITELLM_API_KEY=
 
 # ---------------------------------------------------------------------------
 # LibreChat (external chat via SSO) [OPTIONAL - default: http://localhost:3080]
@@ -48,7 +47,7 @@ LIBRECHAT_URL=http://localhost:3080
 # ---------------------------------------------------------------------------
 # LLM Providers (comma-separated list) [OPTIONAL]
 # ---------------------------------------------------------------------------
-LLM_PROVIDERS=litellm
+LLM_PROVIDERS=ollama
 
 # ---------------------------------------------------------------------------
 # SMTP (transactional email) [OPTIONAL]
@@ -74,11 +73,6 @@ LANGGRAPH_URL=
 LANGFLOW_URL=
 LANGFUSE_URL=
 
-# ---------------------------------------------------------------------------
-# Compliance scanner (external tool, opens in new tab) [OPTIONAL]
-# ---------------------------------------------------------------------------
-COMPLIANCE_SCANNER_URL=
-
 # ---------------------------------------------------------------------------
 # Vector database [OPTIONAL]
 # ---------------------------------------------------------------------------

.gitea/workflows/ci.yml

@@ -121,13 +121,13 @@ jobs:
         if: always()
 
   # ---------------------------------------------------------------------------
-  # Stage 4: E2E tests (only on main, after deploy)
+  # Stage 2b: E2E tests (only on main / PRs to main, after quality checks)
   # ---------------------------------------------------------------------------
   e2e:
     name: E2E Tests
     runs-on: docker
-    needs: [deploy]
+    needs: [fmt, clippy, audit]
-    if: github.ref == 'refs/heads/main'
+    if: github.ref == 'refs/heads/main' || github.event_name == 'pull_request'
     container:
       image: rust:1.89-bookworm
     # MongoDB and SearXNG can start immediately (no repo files needed).
@@ -259,33 +259,13 @@ jobs:
   deploy:
     name: Deploy
     runs-on: docker
-    needs: [test]
+    needs: [test, e2e]
     if: github.ref == 'refs/heads/main'
     container:
-      image: docker:27-cli
+      image: alpine:latest
     steps:
-      - name: Checkout
+      - name: Trigger Coolify deploy
         run: |
-          apk add --no-cache git curl openssl
+          apk add --no-cache curl
-          git init
+          curl -sf "${{ secrets.COOLIFY_WEBHOOK }}" \
-          git remote add origin "${GITHUB_SERVER_URL}/${GITHUB_REPOSITORY}.git"
+            -H "Authorization: Bearer ${{ secrets.COOLIFY_TOKEN }}"
-          git fetch --depth=1 origin "${GITHUB_SHA}"
-          git checkout FETCH_HEAD
-      - name: Build and push image
-        run: |
-          IMAGE=registry.meghsakha.com/certifai-dashboard
-          echo "${{ secrets.REGISTRY_PASSWORD }}" | \
-            docker login registry.meghsakha.com -u "${{ secrets.REGISTRY_USERNAME }}" --password-stdin
-          docker build -t "$IMAGE:latest" -t "$IMAGE:${GITHUB_SHA}" .
-          docker push "$IMAGE:latest"
-          docker push "$IMAGE:${GITHUB_SHA}"
-      - name: Trigger orca redeploy
-        run: |
-          PAYLOAD=$(printf '{"ref":"refs/heads/main","repository":{"full_name":"sharang/certifai"},"head_commit":{"id":"%s","message":"CI deploy"}}' "${GITHUB_SHA}")
-          SIG=$(printf '%s' "$PAYLOAD" | openssl dgst -sha256 -hmac "${{ secrets.ORCA_WEBHOOK_SECRET }}" | awk '{print $2}')
-          echo "Calling orca webhook for sharang/certifai@${GITHUB_SHA}"
-          RESP=$(curl -fsS -w "\nHTTP %{http_code}" -X POST "http://46.225.100.82:6880/api/v1/webhooks/github" \
-            -H "Content-Type: application/json" \
-            -H "X-Hub-Signature-256: sha256=$SIG" \
-            -d "$PAYLOAD")
-          echo "$RESP"

Cargo.toml

@@ -61,7 +61,6 @@ secrecy = { version = "0.10", default-features = false, optional = true }
 serde_json = { version = "1.0.133", default-features = false }
 maud = { version = "0.27", default-features = false }
 url = { version = "2.5.4", default-features = false, optional = true }
-js-sys = { version = "0.3", optional = true }
 wasm-bindgen = { version = "0.2", optional = true }
 web-sys = { version = "0.3", optional = true, features = [
     "Clipboard",
@@ -92,7 +91,7 @@ bytes = { version = "1", optional = true }
 
 [features]
 # default = ["web"]
-web = ["dioxus/web", "dep:reqwest", "dep:web-sys", "dep:wasm-bindgen", "dep:js-sys"]
+web = ["dioxus/web", "dep:reqwest", "dep:web-sys", "dep:wasm-bindgen"]
 server = [
     "dioxus/server",
     "dep:axum",

assets/i18n/de.json

@@ -46,8 +46,7 @@
     "agents": "Agenten",
     "flow": "Flow",
     "analytics": "Analytics",
-    "pricing": "Preise",
+    "pricing": "Preise"
-    "compliance": "Compliance"
   },
   "auth": {
     "redirecting_login": "Weiterleitung zur Anmeldung...",
@@ -59,15 +58,15 @@
     "title": "Dashboard",
     "subtitle": "KI-Nachrichten und Neuigkeiten",
     "topic_placeholder": "Themenname...",
-    "litellm_settings": "LiteLLM-Einstellungen",
+    "ollama_settings": "Ollama-Einstellungen",
-    "settings_hint": "Leer lassen, um LITELLM_URL / LITELLM_MODEL aus .env zu verwenden",
+    "settings_hint": "Leer lassen, um OLLAMA_URL / OLLAMA_MODEL aus .env zu verwenden",
-    "litellm_url": "LiteLLM-URL",
+    "ollama_url": "Ollama-URL",
-    "litellm_url_placeholder": "Verwendet LITELLM_URL aus .env",
+    "ollama_url_placeholder": "Verwendet OLLAMA_URL aus .env",
     "model": "Modell",
-    "model_placeholder": "Verwendet LITELLM_MODEL aus .env",
+    "model_placeholder": "Verwendet OLLAMA_MODEL aus .env",
     "searching": "Suche laeuft...",
     "search_failed": "Suche fehlgeschlagen: {e}",
-    "litellm_status": "LiteLLM-Status",
+    "ollama_status": "Ollama-Status",
     "trending": "Im Trend",
     "recent_searches": "Letzte Suchen"
   },
@@ -145,16 +144,6 @@
     "email_address": "E-Mail-Adresse",
     "email_placeholder": "kollege@firma.de",
     "send_invite": "Einladung senden",
-    "total_spend": "Gesamtausgaben",
-    "total_tokens": "Tokens gesamt",
-    "model_usage": "Nutzung nach Modell",
-    "model": "Modell",
-    "tokens": "Tokens",
-    "spend": "Ausgaben",
-    "usage_unavailable": "Nutzungsdaten nicht verfuegbar",
-    "loading_usage": "Nutzungsdaten werden geladen...",
-    "prompt_tokens": "Prompt-Tokens",
-    "completion_tokens": "Antwort-Tokens",
     "pricing_title": "Preise",
     "pricing_subtitle": "Waehlen Sie den passenden Plan fuer Ihre Organisation"
   },
@@ -225,13 +214,7 @@
     "documentation": "Dokumentation",
     "api_reference": "API-Referenz",
     "support": "Support",
-    "copyright": "2026 CERTifAI. Alle Rechte vorbehalten.",
+    "copyright": "2026 CERTifAI. Alle Rechte vorbehalten."
-    "pill_gdpr": "DSGVO-Nativ",
-    "pill_self_hosted": "Selbst gehostet",
-    "pill_eu": "EU-Souveraen",
-    "preview_models": "Aktive Modelle",
-    "preview_tokens": "Tokens / Monat",
-    "preview_spend": "Gesamtausgaben"
   },
   "article": {
     "read_original": "Originalartikel lesen",

assets/i18n/en.json

@@ -46,8 +46,7 @@
     "agents": "Agents",
     "flow": "Flow",
     "analytics": "Analytics",
-    "pricing": "Pricing",
+    "pricing": "Pricing"
-    "compliance": "Compliance"
   },
   "auth": {
     "redirecting_login": "Redirecting to login...",
@@ -59,15 +58,15 @@
     "title": "Dashboard",
     "subtitle": "AI news and updates",
     "topic_placeholder": "Topic name...",
-    "litellm_settings": "LiteLLM Settings",
+    "ollama_settings": "Ollama Settings",
-    "settings_hint": "Leave empty to use LITELLM_URL / LITELLM_MODEL from .env",
+    "settings_hint": "Leave empty to use OLLAMA_URL / OLLAMA_MODEL from .env",
-    "litellm_url": "LiteLLM URL",
+    "ollama_url": "Ollama URL",
-    "litellm_url_placeholder": "Uses LITELLM_URL from .env",
+    "ollama_url_placeholder": "Uses OLLAMA_URL from .env",
     "model": "Model",
-    "model_placeholder": "Uses LITELLM_MODEL from .env",
+    "model_placeholder": "Uses OLLAMA_MODEL from .env",
     "searching": "Searching...",
     "search_failed": "Search failed: {e}",
-    "litellm_status": "LiteLLM Status",
+    "ollama_status": "Ollama Status",
     "trending": "Trending",
     "recent_searches": "Recent Searches"
   },
@@ -145,16 +144,6 @@
     "email_address": "Email Address",
     "email_placeholder": "colleague@company.com",
     "send_invite": "Send Invite",
-    "total_spend": "Total Spend",
-    "total_tokens": "Total Tokens",
-    "model_usage": "Usage by Model",
-    "model": "Model",
-    "tokens": "Tokens",
-    "spend": "Spend",
-    "usage_unavailable": "Usage data unavailable",
-    "loading_usage": "Loading usage data...",
-    "prompt_tokens": "Prompt Tokens",
-    "completion_tokens": "Completion Tokens",
     "pricing_title": "Pricing",
     "pricing_subtitle": "Choose the plan that fits your organization"
   },
@@ -225,13 +214,7 @@
     "documentation": "Documentation",
     "api_reference": "API Reference",
     "support": "Support",
-    "copyright": "2026 CERTifAI. All rights reserved.",
+    "copyright": "2026 CERTifAI. All rights reserved."
-    "pill_gdpr": "GDPR Native",
-    "pill_self_hosted": "Self-Hosted",
-    "pill_eu": "EU Sovereign",
-    "preview_models": "Active Models",
-    "preview_tokens": "Tokens / Month",
-    "preview_spend": "Total Spend"
   },
   "article": {
     "read_original": "Read original article",

assets/i18n/es.json

@@ -46,8 +46,7 @@
     "agents": "Agentes",
     "flow": "Flujo",
     "analytics": "Estadisticas",
-    "pricing": "Precios",
+    "pricing": "Precios"
-    "compliance": "Cumplimiento"
   },
   "auth": {
     "redirecting_login": "Redirigiendo al inicio de sesion...",
@@ -59,15 +58,15 @@
     "title": "Panel de control",
     "subtitle": "Noticias y actualizaciones de IA",
     "topic_placeholder": "Nombre del tema...",
-    "litellm_settings": "Configuracion de LiteLLM",
+    "ollama_settings": "Configuracion de Ollama",
-    "settings_hint": "Dejar vacio para usar LITELLM_URL / LITELLM_MODEL del archivo .env",
+    "settings_hint": "Dejar vacio para usar OLLAMA_URL / OLLAMA_MODEL del archivo .env",
-    "litellm_url": "URL de LiteLLM",
+    "ollama_url": "URL de Ollama",
-    "litellm_url_placeholder": "Usa LITELLM_URL del archivo .env",
+    "ollama_url_placeholder": "Usa OLLAMA_URL del archivo .env",
     "model": "Modelo",
-    "model_placeholder": "Usa LITELLM_MODEL del archivo .env",
+    "model_placeholder": "Usa OLLAMA_MODEL del archivo .env",
     "searching": "Buscando...",
     "search_failed": "La busqueda fallo: {e}",
-    "litellm_status": "Estado de LiteLLM",
+    "ollama_status": "Estado de Ollama",
     "trending": "Tendencias",
     "recent_searches": "Busquedas recientes"
   },
@@ -145,16 +144,6 @@
     "email_address": "Direccion de correo electronico",
     "email_placeholder": "colega@empresa.com",
     "send_invite": "Enviar invitacion",
-    "total_spend": "Gasto total",
-    "total_tokens": "Tokens totales",
-    "model_usage": "Uso por modelo",
-    "model": "Modelo",
-    "tokens": "Tokens",
-    "spend": "Gasto",
-    "usage_unavailable": "Datos de uso no disponibles",
-    "loading_usage": "Cargando datos de uso...",
-    "prompt_tokens": "Tokens de entrada",
-    "completion_tokens": "Tokens de respuesta",
     "pricing_title": "Precios",
     "pricing_subtitle": "Elija el plan que se adapte a su organizacion"
   },
@@ -225,13 +214,7 @@
     "documentation": "Documentacion",
     "api_reference": "Referencia API",
     "support": "Soporte",
-    "copyright": "2026 CERTifAI. Todos los derechos reservados.",
+    "copyright": "2026 CERTifAI. Todos los derechos reservados."
-    "pill_gdpr": "RGPD Nativo",
-    "pill_self_hosted": "Autoalojado",
-    "pill_eu": "Soberania UE",
-    "preview_models": "Modelos Activos",
-    "preview_tokens": "Tokens / Mes",
-    "preview_spend": "Gasto Total"
   },
   "article": {
     "read_original": "Leer articulo original",

assets/i18n/fr.json

@@ -46,8 +46,7 @@
     "agents": "Agents",
     "flow": "Flux",
     "analytics": "Analytique",
-    "pricing": "Tarifs",
+    "pricing": "Tarifs"
-    "compliance": "Conformite"
   },
   "auth": {
     "redirecting_login": "Redirection vers la connexion...",
@@ -59,15 +58,15 @@
     "title": "Tableau de bord",
     "subtitle": "Actualites et mises a jour IA",
     "topic_placeholder": "Nom du sujet...",
-    "litellm_settings": "Parametres LiteLLM",
+    "ollama_settings": "Parametres Ollama",
-    "settings_hint": "Laissez vide pour utiliser LITELLM_URL / LITELLM_MODEL du fichier .env",
+    "settings_hint": "Laissez vide pour utiliser OLLAMA_URL / OLLAMA_MODEL du fichier .env",
-    "litellm_url": "URL LiteLLM",
+    "ollama_url": "URL Ollama",
-    "litellm_url_placeholder": "Utilise LITELLM_URL du fichier .env",
+    "ollama_url_placeholder": "Utilise OLLAMA_URL du fichier .env",
     "model": "Modele",
-    "model_placeholder": "Utilise LITELLM_MODEL du fichier .env",
+    "model_placeholder": "Utilise OLLAMA_MODEL du fichier .env",
     "searching": "Recherche en cours...",
     "search_failed": "Echec de la recherche : {e}",
-    "litellm_status": "Statut LiteLLM",
+    "ollama_status": "Statut Ollama",
     "trending": "Tendances",
     "recent_searches": "Recherches recentes"
   },
@@ -145,16 +144,6 @@
     "email_address": "Adresse e-mail",
     "email_placeholder": "collegue@entreprise.com",
     "send_invite": "Envoyer l'invitation",
-    "total_spend": "Depenses totales",
-    "total_tokens": "Tokens totaux",
-    "model_usage": "Utilisation par modele",
-    "model": "Modele",
-    "tokens": "Tokens",
-    "spend": "Depenses",
-    "usage_unavailable": "Donnees d'utilisation indisponibles",
-    "loading_usage": "Chargement des donnees d'utilisation...",
-    "prompt_tokens": "Tokens d'entree",
-    "completion_tokens": "Tokens de reponse",
     "pricing_title": "Tarifs",
     "pricing_subtitle": "Choisissez le plan adapte a votre organisation"
   },
@@ -225,13 +214,7 @@
     "documentation": "Documentation",
     "api_reference": "Reference API",
     "support": "Support",
-    "copyright": "2026 CERTifAI. Tous droits reserves.",
+    "copyright": "2026 CERTifAI. Tous droits reserves."
-    "pill_gdpr": "RGPD Natif",
-    "pill_self_hosted": "Auto-heberge",
-    "pill_eu": "Souverainete UE",
-    "preview_models": "Modeles Actifs",
-    "preview_tokens": "Tokens / Mois",
-    "preview_spend": "Depenses Totales"
   },
   "article": {
     "read_original": "Lire l'article original",

assets/i18n/pt.json

@@ -46,8 +46,7 @@
     "agents": "Agentes",
     "flow": "Fluxo",
     "analytics": "Analise",
-    "pricing": "Precos",
+    "pricing": "Precos"
-    "compliance": "Conformidade"
   },
   "auth": {
     "redirecting_login": "A redirecionar para o inicio de sessao...",
@@ -59,15 +58,15 @@
     "title": "Painel",
     "subtitle": "Noticias e atualizacoes de IA",
     "topic_placeholder": "Nome do topico...",
-    "litellm_settings": "Definicoes do LiteLLM",
+    "ollama_settings": "Definicoes do Ollama",
-    "settings_hint": "Deixe vazio para usar LITELLM_URL / LITELLM_MODEL do .env",
+    "settings_hint": "Deixe vazio para usar OLLAMA_URL / OLLAMA_MODEL do .env",
-    "litellm_url": "URL do LiteLLM",
+    "ollama_url": "URL do Ollama",
-    "litellm_url_placeholder": "Utiliza LITELLM_URL do .env",
+    "ollama_url_placeholder": "Utiliza OLLAMA_URL do .env",
     "model": "Modelo",
-    "model_placeholder": "Utiliza LITELLM_MODEL do .env",
+    "model_placeholder": "Utiliza OLLAMA_MODEL do .env",
     "searching": "A pesquisar...",
     "search_failed": "A pesquisa falhou: {e}",
-    "litellm_status": "Estado do LiteLLM",
+    "ollama_status": "Estado do Ollama",
     "trending": "Em destaque",
     "recent_searches": "Pesquisas recentes"
   },
@@ -145,16 +144,6 @@
     "email_address": "Endereco de Email",
     "email_placeholder": "colleague@company.com",
     "send_invite": "Enviar Convite",
-    "total_spend": "Gasto total",
-    "total_tokens": "Tokens totais",
-    "model_usage": "Uso por modelo",
-    "model": "Modelo",
-    "tokens": "Tokens",
-    "spend": "Gasto",
-    "usage_unavailable": "Dados de uso indisponiveis",
-    "loading_usage": "Carregando dados de uso...",
-    "prompt_tokens": "Tokens de entrada",
-    "completion_tokens": "Tokens de resposta",
     "pricing_title": "Precos",
     "pricing_subtitle": "Escolha o plano adequado a sua organizacao"
   },
@@ -225,13 +214,7 @@
     "documentation": "Documentacao",
     "api_reference": "Referencia API",
     "support": "Suporte",
-    "copyright": "2026 CERTifAI. Todos os direitos reservados.",
+    "copyright": "2026 CERTifAI. Todos os direitos reservados."
-    "pill_gdpr": "RGPD Nativo",
-    "pill_self_hosted": "Auto-Alojado",
-    "pill_eu": "Soberania UE",
-    "preview_models": "Modelos Ativos",
-    "preview_tokens": "Tokens / Mes",
-    "preview_spend": "Gasto Total"
   },
   "article": {
     "read_original": "Ler artigo original",

assets/tailwind.css

@@ -1,4 +1,4 @@
-/*! tailwindcss v4.2.1 | MIT License | https://tailwindcss.com */
+/*! tailwindcss v4.2.0 | MIT License | https://tailwindcss.com */
 @layer properties;
 @layer theme, base, components, utilities;
 @layer theme {
@@ -9,15 +9,6 @@
       "Courier New", monospace;
     --color-black: #000;
     --spacing: 0.25rem;
-    --radius-sm: 0.25rem;
-    --radius-md: 0.375rem;
-    --radius-lg: 0.5rem;
-    --radius-xl: 0.75rem;
-    --shadow-sm: 0 1px 3px 0 rgb(0 0 0 / 0.1), 0 1px 2px -1px rgb(0 0 0 / 0.1);
-    --shadow-md: 0 4px 6px -1px rgb(0 0 0 / 0.1), 0 2px 4px -2px rgb(0 0 0 / 0.1);
-    --shadow-lg: 0 10px 15px -3px rgb(0 0 0 / 0.1), 0 4px 6px -4px rgb(0 0 0 / 0.1);
-    --default-transition-duration: 150ms;
-    --default-transition-timing-function: cubic-bezier(0.4, 0, 0.2, 1);
     --default-font-family: var(--font-sans);
     --default-mono-font-family: var(--font-mono);
   }
@@ -171,6 +162,59 @@
   }
 }
 @layer utilities {
+  .diff {
+    @layer daisyui.l1.l2.l3 {
+      position: relative;
+      display: grid;
+      width: 100%;
+      overflow: hidden;
+      webkit-user-select: none;
+      user-select: none;
+      grid-template-rows: 1fr 1.8rem 1fr;
+      direction: ltr;
+      container-type: inline-size;
+      grid-template-columns: auto 1fr;
+      &:focus-visible, &:has(.diff-item-1:focus-visible) {
+        outline-style: var(--tw-outline-style);
+        outline-width: 2px;
+        outline-offset: 1px;
+        outline-color: var(--color-base-content);
+      }
+      &:focus-visible {
+        outline-style: var(--tw-outline-style);
+        outline-width: 2px;
+        outline-offset: 1px;
+        outline-color: var(--color-base-content);
+        .diff-resizer {
+          min-width: 95cqi;
+          max-width: 95cqi;
+        }
+      }
+      &:has(.diff-item-1:focus-visible) {
+        outline-style: var(--tw-outline-style);
+        outline-width: 2px;
+        outline-offset: 1px;
+        .diff-resizer {
+          min-width: 5cqi;
+          max-width: 5cqi;
+        }
+      }
+      @supports (-webkit-overflow-scrolling: touch) and (overflow: -webkit-paged-x) {
+        &:focus {
+          .diff-resizer {
+            min-width: 5cqi;
+            max-width: 5cqi;
+          }
+        }
+        &:has(.diff-item-1:focus) {
+          .diff-resizer {
+            min-width: 95cqi;
+            max-width: 95cqi;
+          }
+        }
+      }
+    }
+  }
   .modal {
     @layer daisyui.l1.l2.l3 {
       pointer-events: none;
@@ -1066,98 +1110,31 @@
       }
     }
   }
-  .range {
+  .chat-bubble {
     @layer daisyui.l1.l2.l3 {
-      appearance: none;
-      webkit-appearance: none;
-      --range-thumb: var(--color-base-100);
-      --range-thumb-size: calc(var(--size-selector, 0.25rem) * 6);
-      --range-progress: currentColor;
-      --range-fill: 1;
-      --range-p: 0.25rem;
-      --range-bg: currentColor;
-      @supports (color: color-mix(in lab, red, red)) {
-        --range-bg: color-mix(in oklab, currentColor 10%, #0000);
-      }
-      cursor: pointer;
-      overflow: hidden;
-      background-color: transparent;
-      vertical-align: middle;
-      width: clamp(3rem, 20rem, 100%);
-      --radius-selector-max: calc(
-      var(--radius-selector) + var(--radius-selector) + var(--radius-selector)
-    );
-      border-radius: calc(var(--radius-selector) + min(var(--range-p), var(--radius-selector-max)));
-      border: none;
-      height: var(--range-thumb-size);
-      [dir="rtl"] & {
-        --range-dir: -1;
-      }
-      &:focus {
-        outline: none;
-      }
-      &:focus-visible {
-        outline: 2px solid;
-        outline-offset: 2px;
-      }
-      &::-webkit-slider-runnable-track {
-        width: 100%;
-        background-color: var(--range-bg);
-        border-radius: var(--radius-selector);
-        height: calc(var(--range-thumb-size) * 0.5);
-      }
-      @media (forced-colors: active) {
-        &::-webkit-slider-runnable-track {
-          border: 1px solid;
-        }
-      }
-      @media (forced-colors: active) {
-        &::-moz-range-track {
-          border: 1px solid;
-        }
-      }
-      &::-webkit-slider-thumb {
       position: relative;
-        box-sizing: border-box;
+      display: block;
-        border-radius: calc(var(--radius-selector) + min(var(--range-p), var(--radius-selector-max)));
+      width: fit-content;
-        background-color: var(--range-thumb);
+      border-radius: var(--radius-field);
-        height: var(--range-thumb-size);
+      background-color: var(--color-base-300);
-        width: var(--range-thumb-size);
+      padding-inline: calc(0.25rem * 4);
-        border: var(--range-p) solid;
+      padding-block: calc(0.25rem * 2);
-        appearance: none;
+      color: var(--color-base-content);
-        webkit-appearance: none;
+      grid-row-end: 3;
-        top: 50%;
+      min-height: 2rem;
-        color: var(--range-progress);
+      min-width: 2.5rem;
-        transform: translateY(-50%);
+      max-width: 90%;
-        box-shadow: 0 -1px oklch(0% 0 0 / calc(var(--depth) * 0.1)) inset, 0 8px 0 -4px oklch(100% 0 0 / calc(var(--depth) * 0.1)) inset, 0 1px currentColor, 0 0 0 2rem var(--range-thumb) inset, calc((var(--range-dir, 1) * -100cqw) - (var(--range-dir, 1) * var(--range-thumb-size) / 2)) 0 0 calc(100cqw * var(--range-fill));
+      &:before {
-        @supports (color: color-mix(in lab, red, red)) {
+        position: absolute;
-          box-shadow: 0 -1px oklch(0% 0 0 / calc(var(--depth) * 0.1)) inset, 0 8px 0 -4px oklch(100% 0 0 / calc(var(--depth) * 0.1)) inset, 0 1px color-mix(in oklab, currentColor calc(var(--depth) * 10%), #0000), 0 0 0 2rem var(--range-thumb) inset, calc((var(--range-dir, 1) * -100cqw) - (var(--range-dir, 1) * var(--range-thumb-size) / 2)) 0 0 calc(100cqw * var(--range-fill));
+        bottom: calc(0.25rem * 0);
-        }
+        height: calc(0.25rem * 3);
-      }
+        width: calc(0.25rem * 3);
-      &::-moz-range-track {
+        background-color: inherit;
-        width: 100%;
+        content: "";
-        background-color: var(--range-bg);
+        mask-repeat: no-repeat;
-        border-radius: var(--radius-selector);
+        mask-image: var(--mask-chat);
-        height: calc(var(--range-thumb-size) * 0.5);
+        mask-position: 0px -1px;
-      }
+        mask-size: 0.8125rem;
-      &::-moz-range-thumb {
-        position: relative;
-        box-sizing: border-box;
-        border-radius: calc(var(--radius-selector) + min(var(--range-p), var(--radius-selector-max)));
-        background-color: currentColor;
-        height: var(--range-thumb-size);
-        width: var(--range-thumb-size);
-        border: var(--range-p) solid;
-        top: 50%;
-        color: var(--range-progress);
-        box-shadow: 0 -1px oklch(0% 0 0 / calc(var(--depth) * 0.1)) inset, 0 8px 0 -4px oklch(100% 0 0 / calc(var(--depth) * 0.1)) inset, 0 1px currentColor, 0 0 0 2rem var(--range-thumb) inset, calc((var(--range-dir, 1) * -100cqw) - (var(--range-dir, 1) * var(--range-thumb-size) / 2)) 0 0 calc(100cqw * var(--range-fill));
-        @supports (color: color-mix(in lab, red, red)) {
-          box-shadow: 0 -1px oklch(0% 0 0 / calc(var(--depth) * 0.1)) inset, 0 8px 0 -4px oklch(100% 0 0 / calc(var(--depth) * 0.1)) inset, 0 1px color-mix(in oklab, currentColor calc(var(--depth) * 10%), #0000), 0 0 0 2rem var(--range-thumb) inset, calc((var(--range-dir, 1) * -100cqw) - (var(--range-dir, 1) * var(--range-thumb-size) / 2)) 0 0 calc(100cqw * var(--range-fill));
-        }
-      }
-      &:disabled {
-        cursor: not-allowed;
-        opacity: 30%;
       }
     }
   }
@@ -1548,6 +1525,81 @@
       padding: calc(0.25rem * 4);
     }
   }
+  .textarea {
+    @layer daisyui.l1.l2.l3 {
+      border: var(--border) solid #0000;
+      min-height: calc(0.25rem * 20);
+      flex-shrink: 1;
+      appearance: none;
+      border-radius: var(--radius-field);
+      background-color: var(--color-base-100);
+      padding-block: calc(0.25rem * 2);
+      vertical-align: middle;
+      width: clamp(3rem, 20rem, 100%);
+      padding-inline-start: 0.75rem;
+      padding-inline-end: 0.75rem;
+      font-size: max(var(--font-size, 0.875rem), 0.875rem);
+      touch-action: manipulation;
+      border-color: var(--input-color);
+      box-shadow: 0 1px var(--input-color) inset, 0 -1px oklch(100% 0 0 / calc(var(--depth) * 0.1)) inset;
+      @supports (color: color-mix(in lab, red, red)) {
+        box-shadow: 0 1px color-mix(in oklab, var(--input-color) calc(var(--depth) * 10%), #0000) inset, 0 -1px oklch(100% 0 0 / calc(var(--depth) * 0.1)) inset;
+      }
+      --input-color: var(--color-base-content);
+      @supports (color: color-mix(in lab, red, red)) {
+        --input-color: color-mix(in oklab, var(--color-base-content) 20%, #0000);
+      }
+      textarea {
+        appearance: none;
+        background-color: transparent;
+        border: none;
+        &:focus, &:focus-within {
+          --tw-outline-style: none;
+          outline-style: none;
+          @media (forced-colors: active) {
+            outline: 2px solid transparent;
+            outline-offset: 2px;
+          }
+        }
+      }
+      &:focus, &:focus-within {
+        --input-color: var(--color-base-content);
+        box-shadow: 0 1px var(--input-color);
+        @supports (color: color-mix(in lab, red, red)) {
+          box-shadow: 0 1px color-mix(in oklab, var(--input-color) calc(var(--depth) * 10%), #0000);
+        }
+        outline: 2px solid var(--input-color);
+        outline-offset: 2px;
+        isolation: isolate;
+      }
+      @media (pointer: coarse) {
+        @supports (-webkit-touch-callout: none) {
+          &:focus, &:focus-within {
+            --font-size: 1rem;
+          }
+        }
+      }
+      &:has(> textarea[disabled]), &:is(:disabled, [disabled]) {
+        cursor: not-allowed;
+        border-color: var(--color-base-200);
+        background-color: var(--color-base-200);
+        color: var(--color-base-content);
+        @supports (color: color-mix(in lab, red, red)) {
+          color: color-mix(in oklab, var(--color-base-content) 40%, transparent);
+        }
+        &::placeholder {
+          color: var(--color-base-content);
+          @supports (color: color-mix(in lab, red, red)) {
+            color: color-mix(in oklab, var(--color-base-content) 20%, transparent);
+          }
+        }
+        box-shadow: none;
+      }
+      &:has(> textarea[disabled]) > textarea[disabled] {
+        cursor: not-allowed;
+      }
+    }
+  }
   .stack {
     @layer daisyui.l1.l2.l3 {
       display: inline-grid;
@@ -1642,14 +1694,6 @@
       }
     }
   }
-  .stat-value {
-    @layer daisyui.l1.l2.l3 {
-      grid-column-start: 1;
-      white-space: nowrap;
-      font-size: 2rem;
-      font-weight: 800;
-    }
-  }
   .container {
     width: 100%;
     @media (width >= 40rem) {
@@ -1835,23 +1879,6 @@
       }
     }
   }
-  .stat {
-    @layer daisyui.l1.l2.l3 {
-      display: inline-grid;
-      width: 100%;
-      column-gap: calc(0.25rem * 4);
-      padding-inline: calc(0.25rem * 6);
-      padding-block: calc(0.25rem * 4);
-      grid-template-columns: repeat(1, 1fr);
-      &:not(:last-child) {
-        border-inline-end: var(--border) dashed currentColor;
-        @supports (color: color-mix(in lab, red, red)) {
-          border-inline-end: var(--border) dashed color-mix(in oklab, currentColor 10%, #0000);
-        }
-        border-block-end: none;
-      }
-    }
-  }
   .chat {
     @layer daisyui.l1.l2.l3 {
       display: grid;
@@ -1870,9 +1897,6 @@
       font-weight: 600;
     }
   }
-  .flex {
-    display: flex;
-  }
   .grid {
     display: grid;
   }
@@ -1885,9 +1909,6 @@
   .table {
     display: table;
   }
-  .border-collapse {
-    border-collapse: collapse;
-  }
   .transform {
     transform: var(--tw-rotate-x,) var(--tw-rotate-y,) var(--tw-rotate-z,) var(--tw-skew-x,) var(--tw-skew-y,);
   }
@@ -1909,12 +1930,13 @@
       }
     }
   }
-  .flex-wrap {
+  .badge-outline {
-    flex-wrap: wrap;
+    @layer daisyui.l1.l2 {
+      color: var(--badge-color);
+      --badge-bg: #0000;
+      background-image: none;
+      border-color: currentColor;
     }
-  .border {
-    border-style: var(--tw-border-style);
-    border-width: 1px;
   }
   .glass {
     border: none;
@@ -1933,6 +1955,10 @@
   .lowercase {
     text-transform: lowercase;
   }
+  .outline {
+    outline-style: var(--tw-outline-style);
+    outline-width: 1px;
+  }
   .btn-ghost {
     @layer daisyui.l1 {
       &:not(.btn-active, :hover, :active:focus, :focus-visible, input:checked:not(.filter .btn)) {
@@ -1960,15 +1986,6 @@
   .filter {
     filter: var(--tw-blur,) var(--tw-brightness,) var(--tw-contrast,) var(--tw-grayscale,) var(--tw-hue-rotate,) var(--tw-invert,) var(--tw-saturate,) var(--tw-sepia,) var(--tw-drop-shadow,);
   }
-  .backdrop-filter {
-    -webkit-backdrop-filter: var(--tw-backdrop-blur,) var(--tw-backdrop-brightness,) var(--tw-backdrop-contrast,) var(--tw-backdrop-grayscale,) var(--tw-backdrop-hue-rotate,) var(--tw-backdrop-invert,) var(--tw-backdrop-opacity,) var(--tw-backdrop-saturate,) var(--tw-backdrop-sepia,);
-    backdrop-filter: var(--tw-backdrop-blur,) var(--tw-backdrop-brightness,) var(--tw-backdrop-contrast,) var(--tw-backdrop-grayscale,) var(--tw-backdrop-hue-rotate,) var(--tw-backdrop-invert,) var(--tw-backdrop-opacity,) var(--tw-backdrop-saturate,) var(--tw-backdrop-sepia,);
-  }
-  .transition {
-    transition-property: color, background-color, border-color, outline-color, text-decoration-color, fill, stroke, --tw-gradient-from, --tw-gradient-via, --tw-gradient-to, opacity, box-shadow, transform, translate, scale, rotate, filter, -webkit-backdrop-filter, backdrop-filter, display, content-visibility, overlay, pointer-events;
-    transition-timing-function: var(--tw-ease, var(--default-transition-timing-function));
-    transition-duration: var(--tw-duration, var(--default-transition-duration));
-  }
   .btn-outline {
     @layer daisyui.l1 {
       &:not( .btn-active, :hover, :active:focus, :focus-visible, input:checked:not(.filter .btn), :disabled, [disabled], .btn-disabled ) {
@@ -2383,7 +2400,7 @@
   syntax: "*";
   inherits: false;
 }
-@property --tw-border-style {
+@property --tw-outline-style {
   syntax: "*";
   inherits: false;
   initial-value: solid;
@@ -2441,42 +2458,6 @@
   syntax: "*";
   inherits: false;
 }
-@property --tw-backdrop-blur {
-  syntax: "*";
-  inherits: false;
-}
-@property --tw-backdrop-brightness {
-  syntax: "*";
-  inherits: false;
-}
-@property --tw-backdrop-contrast {
-  syntax: "*";
-  inherits: false;
-}
-@property --tw-backdrop-grayscale {
-  syntax: "*";
-  inherits: false;
-}
-@property --tw-backdrop-hue-rotate {
-  syntax: "*";
-  inherits: false;
-}
-@property --tw-backdrop-invert {
-  syntax: "*";
-  inherits: false;
-}
-@property --tw-backdrop-opacity {
-  syntax: "*";
-  inherits: false;
-}
-@property --tw-backdrop-saturate {
-  syntax: "*";
-  inherits: false;
-}
-@property --tw-backdrop-sepia {
-  syntax: "*";
-  inherits: false;
-}
 @layer properties {
   @supports ((-webkit-hyphens: none) and (not (margin-trim: inline))) or ((-moz-orient: inline) and (not (color:rgb(from red r g b)))) {
     *, ::before, ::after, ::backdrop {
@@ -2485,7 +2466,7 @@
       --tw-rotate-z: initial;
       --tw-skew-x: initial;
       --tw-skew-y: initial;
-      --tw-border-style: solid;
+      --tw-outline-style: solid;
       --tw-blur: initial;
       --tw-brightness: initial;
       --tw-contrast: initial;
@@ -2499,15 +2480,6 @@
       --tw-drop-shadow-color: initial;
       --tw-drop-shadow-alpha: 100%;
       --tw-drop-shadow-size: initial;
-      --tw-backdrop-blur: initial;
-      --tw-backdrop-brightness: initial;
-      --tw-backdrop-contrast: initial;
-      --tw-backdrop-grayscale: initial;
-      --tw-backdrop-hue-rotate: initial;
-      --tw-backdrop-invert: initial;
-      --tw-backdrop-opacity: initial;
-      --tw-backdrop-saturate: initial;
-      --tw-backdrop-sepia: initial;
     }
   }
 }

design-templates/01-nordic-frost.html

@@ -1,907 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-<head>
-<meta charset="UTF-8">
-<meta name="viewport" content="width=device-width, initial-scale=1.0">
-<title>CERTifAI - Template 1: Nordic Frost</title>
-<link rel="preconnect" href="https://fonts.googleapis.com">
-<link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,wght@0,400;0,500;0,600;0,700&family=Playfair+Display:wght@500;600;700;800&display=swap" rel="stylesheet">
-<style>
-/* ========================================================================
-   TEMPLATE 1: NORDIC FROST
-   ========================================================================
-   Mood:       Clean, minimal, premium, Scandinavian-inspired
-   Audience:   Enterprise, banking, legal, healthcare
-   Palette:    Cool whites, slate greys, muted teal accents
-   Fonts:      Playfair Display (headings) + DM Sans (body)
-   Feel:       Trustworthy, understated luxury, whisper-quiet confidence
-   ======================================================================== */
-
-*, *::before, *::after { margin: 0; padding: 0; box-sizing: border-box; }
-
-:root {
-  --bg-primary: #f7f8fa;
-  --bg-secondary: #ffffff;
-  --bg-tertiary: #eef0f4;
-  --bg-dark: #1a1e2e;
-  --bg-dark-card: #232838;
-  --text-primary: #1a1e2e;
-  --text-secondary: #5a6178;
-  --text-muted: #8b92a8;
-  --text-inverse: #f0f1f5;
-  --accent: #3a8f8b;
-  --accent-light: #4aada8;
-  --accent-muted: rgba(58, 143, 139, 0.08);
-  --accent-border: rgba(58, 143, 139, 0.2);
-  --border: #e4e7ee;
-  --border-subtle: #eef0f4;
-  --shadow-sm: 0 1px 3px rgba(26, 30, 46, 0.04);
-  --shadow-md: 0 4px 16px rgba(26, 30, 46, 0.06);
-  --shadow-lg: 0 8px 32px rgba(26, 30, 46, 0.08);
-  --radius-sm: 6px;
-  --radius-md: 10px;
-  --radius-lg: 16px;
-  --radius-xl: 24px;
-}
-
-body {
-  font-family: 'DM Sans', sans-serif;
-  color: var(--text-primary);
-  background: var(--bg-primary);
-  line-height: 1.6;
-  -webkit-font-smoothing: antialiased;
-}
-
-h1, h2, h3, h4 {
-  font-family: 'Playfair Display', serif;
-  font-weight: 600;
-  line-height: 1.2;
-}
-
-/* ===== View Switcher ===== */
-.view-switcher {
-  position: fixed;
-  top: 20px;
-  right: 20px;
-  z-index: 9999;
-  display: flex;
-  gap: 6px;
-  background: var(--bg-dark);
-  padding: 6px;
-  border-radius: 12px;
-  box-shadow: 0 4px 24px rgba(0,0,0,0.2);
-}
-.view-switcher button {
-  font-family: 'DM Sans', sans-serif;
-  font-size: 13px;
-  font-weight: 500;
-  border: none;
-  padding: 8px 16px;
-  border-radius: 8px;
-  cursor: pointer;
-  background: transparent;
-  color: rgba(255,255,255,0.5);
-  transition: all 0.2s;
-}
-.view-switcher button.active {
-  background: var(--accent);
-  color: #fff;
-}
-.view-switcher button:hover:not(.active) {
-  color: rgba(255,255,255,0.8);
-}
-
-.view { display: none; }
-.view.active { display: block; }
-
-/* ===== LANDING PAGE ===== */
-
-/* -- Navbar -- */
-.landing-nav {
-  display: flex;
-  align-items: center;
-  justify-content: space-between;
-  padding: 20px 64px;
-  background: rgba(255,255,255,0.8);
-  backdrop-filter: blur(20px);
-  border-bottom: 1px solid var(--border-subtle);
-  position: sticky;
-  top: 0;
-  z-index: 100;
-}
-.nav-logo {
-  font-family: 'Playfair Display', serif;
-  font-size: 22px;
-  font-weight: 700;
-  color: var(--text-primary);
-  letter-spacing: -0.3px;
-}
-.nav-logo span { color: var(--accent); }
-.nav-links {
-  display: flex;
-  gap: 36px;
-  list-style: none;
-}
-.nav-links a {
-  text-decoration: none;
-  color: var(--text-secondary);
-  font-size: 14px;
-  font-weight: 500;
-  transition: color 0.2s;
-}
-.nav-links a:hover { color: var(--text-primary); }
-.nav-cta {
-  display: flex;
-  gap: 12px;
-  align-items: center;
-}
-.btn-ghost {
-  font-family: 'DM Sans', sans-serif;
-  font-size: 14px;
-  font-weight: 500;
-  padding: 10px 20px;
-  border: none;
-  background: transparent;
-  color: var(--text-secondary);
-  cursor: pointer;
-  border-radius: var(--radius-md);
-  transition: all 0.2s;
-}
-.btn-ghost:hover { color: var(--text-primary); background: var(--bg-tertiary); }
-.btn-primary {
-  font-family: 'DM Sans', sans-serif;
-  font-size: 14px;
-  font-weight: 600;
-  padding: 10px 24px;
-  border: none;
-  background: var(--accent);
-  color: #fff;
-  cursor: pointer;
-  border-radius: var(--radius-md);
-  transition: all 0.25s;
-}
-.btn-primary:hover { background: var(--accent-light); transform: translateY(-1px); box-shadow: var(--shadow-md); }
-
-/* -- Hero -- */
-.hero {
-  padding: 120px 64px 100px;
-  text-align: center;
-  position: relative;
-  overflow: hidden;
-}
-.hero::before {
-  content: '';
-  position: absolute;
-  top: -200px;
-  left: 50%;
-  transform: translateX(-50%);
-  width: 800px;
-  height: 800px;
-  background: radial-gradient(circle, rgba(58,143,139,0.06) 0%, transparent 70%);
-  pointer-events: none;
-}
-.hero-badge {
-  display: inline-flex;
-  align-items: center;
-  gap: 8px;
-  padding: 6px 16px;
-  background: var(--accent-muted);
-  border: 1px solid var(--accent-border);
-  border-radius: 100px;
-  font-size: 13px;
-  font-weight: 500;
-  color: var(--accent);
-  margin-bottom: 32px;
-  animation: fadeUp 0.6s ease;
-}
-.hero h1 {
-  font-size: 64px;
-  letter-spacing: -1.5px;
-  margin-bottom: 24px;
-  animation: fadeUp 0.6s ease 0.1s both;
-}
-.hero h1 em {
-  font-style: italic;
-  color: var(--accent);
-}
-.hero p {
-  font-size: 18px;
-  color: var(--text-secondary);
-  max-width: 560px;
-  margin: 0 auto 40px;
-  animation: fadeUp 0.6s ease 0.2s both;
-}
-.hero-actions {
-  display: flex;
-  gap: 16px;
-  justify-content: center;
-  animation: fadeUp 0.6s ease 0.3s both;
-}
-.btn-outline {
-  font-family: 'DM Sans', sans-serif;
-  font-size: 14px;
-  font-weight: 600;
-  padding: 12px 28px;
-  border: 1.5px solid var(--border);
-  background: var(--bg-secondary);
-  color: var(--text-primary);
-  cursor: pointer;
-  border-radius: var(--radius-md);
-  transition: all 0.25s;
-}
-.btn-outline:hover { border-color: var(--accent); color: var(--accent); }
-.btn-lg { padding: 14px 32px; font-size: 15px; }
-
-/* -- Trust Bar -- */
-.trust-bar {
-  display: flex;
-  justify-content: center;
-  gap: 48px;
-  padding: 48px 64px;
-  border-top: 1px solid var(--border-subtle);
-  border-bottom: 1px solid var(--border-subtle);
-}
-.trust-item {
-  display: flex;
-  align-items: center;
-  gap: 12px;
-  font-size: 14px;
-  color: var(--text-muted);
-  font-weight: 500;
-}
-.trust-icon {
-  width: 36px;
-  height: 36px;
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-<!-- ===== DASHBOARD PAGE ===== -->
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design-templates/02-cyber-command.html

@@ -1,942 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
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-/* ========================================================================
-   TEMPLATE 2: CYBER COMMAND
-   ========================================================================
-   Mood:       Dark, high-tech, cyberpunk-inspired command center
-   Audience:   DevOps, security teams, tech-forward startups
-   Palette:    Deep blacks, neon cyan/green accents, electric highlights
-   Fonts:      Outfit (headings) + JetBrains Mono (body/data)
-   Feel:       Powerful, technical, mission-critical, the Matrix meets Bloomberg Terminal
-   ======================================================================== */
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-/* -- Features -- */
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-/* -- Main -- */
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-/* -- Table -- */
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-/* -- Activity List -- */
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-
-/* ===== Animations ===== */
-@keyframes fadeUp {
-  from { opacity: 0; transform: translateY(20px); }
-  to { opacity: 1; transform: translateY(0); }
-}
-@keyframes fadeIn {
-  from { opacity: 0; }
-  to { opacity: 1; }
-}
-@keyframes shimmer {
-  0%, 100% { background-position: 0% 50%; }
-  50% { background-position: 100% 50%; }
-}
-@keyframes pulse {
-  0%, 100% { opacity: 1; }
-  50% { opacity: 0.4; }
-}
-</style>
-</head>
-<body>
-
-<div class="view-switcher">
-  <button class="active" onclick="showView('landing')">LANDING</button>
-  <button onclick="showView('dashboard')">DASHBOARD</button>
-</div>
-
-<!-- ===== LANDING ===== -->
-<div id="landing" class="view active">
-  <nav class="landing-nav">
-    <div class="nav-logo">CERT<span class="accent">IF</span>AI</div>
-    <ul class="nav-links">
-      <li><a href="#">Features</a></li>
-      <li><a href="#">Architecture</a></li>
-      <li><a href="#">Pricing</a></li>
-      <li><a href="#">Docs</a></li>
-    </ul>
-    <div class="nav-cta">
-      <button class="btn-ghost">Sign In</button>
-      <button class="btn-primary">Deploy Now</button>
-    </div>
-  </nav>
-
-  <section class="hero">
-    <div class="hero-tag">// SELF-HOSTED &middot; GDPR NATIVE &middot; ZERO TRUST</div>
-    <h1>Private AI<br><span class="gradient">Command Center</span></h1>
-    <p>Deploy sovereign AI infrastructure that never phones home. Route LLMs, orchestrate agents, track every token&mdash;all inside your perimeter.</p>
-    <div class="hero-actions">
-      <button class="btn-primary" style="padding:14px 32px">Deploy Now</button>
-      <button class="btn-outline" style="padding:14px 32px">Read the Docs</button>
-    </div>
-
-    <div class="terminal-preview">
-      <div class="terminal-bar">
-        <div class="terminal-dot r"></div>
-        <div class="terminal-dot y"></div>
-        <div class="terminal-dot g"></div>
-        <span class="terminal-title">certifai-cli &mdash; deploy</span>
-      </div>
-      <div class="terminal-body">
-        <span class="comment"># Deploy CERTifAI to your private cluster</span><br>
-        <span class="cmd">$</span> certifai deploy --region eu-west-1 --gpu a100<br>
-        <span class="success">&#10003;</span> Keycloak SSO configured<br>
-        <span class="success">&#10003;</span> LiteLLM proxy ready (5 models loaded)<br>
-        <span class="success">&#10003;</span> LangGraph agents online<br>
-        <span class="success">&#10003;</span> Langfuse observability active<br>
-        <br>
-        <span class="cmd">$</span> certifai status<br>
-        <span class="success">All systems operational.</span> Uptime: 99.97%
-      </div>
-    </div>
-  </section>
-
-  <div class="trust-bar">
-    <div class="trust-item"><div class="trust-dot"></div>100% ON-PREMISE</div>
-    <div class="trust-item"><div class="trust-dot"></div>GDPR ARTICLE 28</div>
-    <div class="trust-item"><div class="trust-dot"></div>EU DATA RESIDENCY</div>
-    <div class="trust-item"><div class="trust-dot"></div>ZERO THIRD-PARTY</div>
-    <div class="trust-item"><div class="trust-dot"></div>SOC 2 TYPE II</div>
-  </div>
-
-  <section class="features">
-    <div class="section-header">
-      <h2>Full-spectrum control</h2>
-      <p>From model routing to cost analytics, every layer is yours to command.</p>
-    </div>
-    <div class="features-grid">
-      <div class="feature-card">
-        <div class="feature-num">01</div>
-        <h3>LLM Gateway</h3>
-        <p>LiteLLM proxy routes requests across providers. One API, full model flexibility, zero vendor lock-in.</p>
-      </div>
-      <div class="feature-card">
-        <div class="feature-num">02</div>
-        <h3>Agent Orchestration</h3>
-        <p>LangGraph + LangFlow for building, deploying, and monitoring autonomous agent workflows.</p>
-      </div>
-      <div class="feature-card">
-        <div class="feature-num">03</div>
-        <h3>Full Observability</h3>
-        <p>Langfuse tracing, cost attribution, prompt versioning. Know exactly what your AI is doing.</p>
-      </div>
-      <div class="feature-card">
-        <div class="feature-num">04</div>
-        <h3>Identity & Access</h3>
-        <p>Keycloak SSO with SAML, OIDC, LDAP. Fine-grained RBAC across all services.</p>
-      </div>
-      <div class="feature-card">
-        <div class="feature-num">05</div>
-        <h3>MCP Servers</h3>
-        <p>Model Context Protocol support for tool-augmented AI with secure function calling.</p>
-      </div>
-      <div class="feature-card">
-        <div class="feature-num">06</div>
-        <h3>API-First</h3>
-        <p>REST endpoints, API key rotation, webhook events. Integrate CERTifAI into your existing stack.</p>
-      </div>
-    </div>
-  </section>
-
-  <section class="cta-section">
-    <div class="cta-box">
-      <h2>Your cluster. Your models. Your rules.</h2>
-      <p>Spin up a fully operational AI stack in under 30 minutes.</p>
-      <button class="btn-primary" style="padding:14px 36px; font-size:13px;">Start Deployment</button>
-    </div>
-  </section>
-
-  <footer class="landing-footer">
-    <span>&copy; 2026 CERTifAI GmbH</span>
-    <div class="footer-links">
-      <a href="#">Privacy</a>
-      <a href="#">Impressum</a>
-      <a href="#">Status</a>
-    </div>
-  </footer>
-</div>
-
-<!-- ===== DASHBOARD ===== -->
-<div id="dashboard" class="view">
-  <div class="dashboard-layout">
-    <aside class="sidebar">
-      <div class="sidebar-brand">
-        <h2>CERT<span class="accent">IF</span>AI</h2>
-      </div>
-      <div class="sidebar-status">
-        <div class="pulse-dot"></div>
-        ALL SYSTEMS OPERATIONAL
-      </div>
-      <nav class="sidebar-nav">
-        <div class="nav-group-label">Core</div>
-        <a class="nav-item active" href="#">&gt;_ Dashboard</a>
-        <a class="nav-item" href="#">&#9674; Providers</a>
-        <a class="nav-item" href="#">&#9993; Chat</a>
-        <div class="nav-group-label">Developer</div>
-        <a class="nav-item" href="#">&#10070; Agents</a>
-        <a class="nav-item" href="#">&#10697; Workflows</a>
-        <a class="nav-item" href="#">&#9776; Analytics</a>
-        <div class="nav-group-label">Organization</div>
-        <a class="nav-item" href="#">&#9733; Billing</a>
-        <a class="nav-item" href="#">&#9823; Members</a>
-      </nav>
-      <div class="sidebar-user">
-        <div class="user-avatar-sm">MM</div>
-        <div class="user-info-sm">
-          <div class="name">Max Mustermann</div>
-          <div class="role">Admin</div>
-        </div>
-      </div>
-    </aside>
-
-    <main class="main-content">
-      <div class="page-header">
-        <div>
-          <h1 class="page-title">Command Center</h1>
-          <p class="page-subtitle">// system overview &middot; feb 2026</p>
-        </div>
-        <button class="btn-primary">+ New Search</button>
-      </div>
-
-      <div class="stats-row">
-        <div class="stat-card">
-          <div class="stat-label">Total Spend</div>
-          <div class="stat-value">$47.82</div>
-          <div class="stat-change">+12.4% vs last month</div>
-        </div>
-        <div class="stat-card">
-          <div class="stat-label">Tokens Processed</div>
-          <div class="stat-value">847K</div>
-          <div class="stat-change">of 1M monthly cap</div>
-        </div>
-        <div class="stat-card">
-          <div class="stat-label">Active Models</div>
-          <div class="stat-value">5</div>
-          <div class="stat-change"><span class="status-dot on"></span>LiteLLM proxy online</div>
-        </div>
-        <div class="stat-card">
-          <div class="stat-label">Team Seats</div>
-          <div class="stat-value">4/25</div>
-          <div class="stat-change">21 available</div>
-        </div>
-      </div>
-
-      <div class="content-grid">
-        <div class="card">
-          <div class="card-title">
-            Model Usage
-            <span class="card-badge">LIVE</span>
-          </div>
-          <table class="data-table">
-            <thead>
-              <tr><th>Model</th><th>Tokens</th><th>Spend</th><th>Status</th></tr>
-            </thead>
-            <tbody>
-              <tr><td><span class="model-tag">Qwen3-Coder-30B</span></td><td>342K</td><td>$18.40</td><td><span class="status-dot on"></span>Active</td></tr>
-              <tr><td><span class="model-tag">Llama-3.1-70B</span></td><td>285K</td><td>$15.20</td><td><span class="status-dot on"></span>Active</td></tr>
-              <tr><td><span class="model-tag">Mistral-7B</span></td><td>120K</td><td>$8.42</td><td><span class="status-dot on"></span>Active</td></tr>
-              <tr><td><span class="model-tag">Gemma-2-9B</span></td><td>65K</td><td>$3.80</td><td><span class="status-dot on"></span>Active</td></tr>
-              <tr><td><span class="model-tag">Phi-3-mini</span></td><td>35K</td><td>$2.00</td><td><span class="status-dot off"></span>Idle</td></tr>
-            </tbody>
-          </table>
-        </div>
-
-        <div class="card">
-          <div class="card-title">Activity Log</div>
-          <div class="activity-item">
-            <span class="activity-time">2m ago</span>
-            <span class="activity-text"><strong>Erika M.</strong> queried <span class="hl">Qwen3-Coder</span></span>
-          </div>
-          <div class="activity-item">
-            <span class="activity-time">8m ago</span>
-            <span class="activity-text"><strong>Johann S.</strong> deployed agent <span class="hl">doc-parser</span></span>
-          </div>
-          <div class="activity-item">
-            <span class="activity-time">14m ago</span>
-            <span class="activity-text"><strong>Anna W.</strong> viewed analytics trace</span>
-          </div>
-          <div class="activity-item">
-            <span class="activity-time">31m ago</span>
-            <span class="activity-text"><strong>Max M.</strong> rotated API key for <span class="hl">LiteLLM</span></span>
-          </div>
-          <div class="activity-item">
-            <span class="activity-time">1h ago</span>
-            <span class="activity-text">System: <span class="hl">Llama-3.1-70B</span> model health check passed</span>
-          </div>
-        </div>
-      </div>
-    </main>
-  </div>
-</div>
-
-<script>
-function showView(id) {
-  document.querySelectorAll('.view').forEach(v => v.classList.remove('active'));
-  document.querySelectorAll('.view-switcher button').forEach(b => b.classList.remove('active'));
-  document.getElementById(id).classList.add('active');
-  event.target.classList.add('active');
-}
-</script>
-</body>
-</html>

design-templates/03-warm-studio.html

@@ -1,963 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-<head>
-<meta charset="UTF-8">
-<meta name="viewport" content="width=device-width, initial-scale=1.0">
-<title>CERTifAI - Template 3: Warm Studio</title>
-<link rel="preconnect" href="https://fonts.googleapis.com">
-<link href="https://fonts.googleapis.com/css2?family=Fraunces:ital,opsz,wght@0,9..144,400;0,9..144,500;0,9..144,600;0,9..144,700;0,9..144,800;1,9..144,400;1,9..144,500&family=Plus+Jakarta+Sans:wght@400;500;600;700&display=swap" rel="stylesheet">
-<style>
-/* ========================================================================
-   TEMPLATE 3: WARM STUDIO
-   ========================================================================
-   Mood:       Warm, approachable, creative studio atmosphere
-   Audience:   Creative agencies, education, non-technical leadership
-   Palette:    Warm cream/sand base, terracotta/amber accents, soft shadows
-   Fonts:      Fraunces (headings) + Plus Jakarta Sans (body)
-   Feel:       Friendly, human, inviting, like a well-designed co-working space
-   ======================================================================== */
-
-*, *::before, *::after { margin: 0; padding: 0; box-sizing: border-box; }
-
-:root {
-  --bg-warm: #faf6f1;
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-  --bg-cream: #f5efe7;
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-  --text-dark: #2c2622;
-  --text-body: #5c524a;
-  --text-muted: #9a8e84;
-  --text-light: #c4b8ac;
-  --text-inverse: #faf6f1;
-  --terracotta: #c4653a;
-  --terracotta-light: #d77a54;
-  --terracotta-muted: rgba(196, 101, 58, 0.08);
-  --terracotta-border: rgba(196, 101, 58, 0.18);
-  --amber: #c99a2e;
-  --amber-muted: rgba(201, 154, 46, 0.1);
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-  --sage-muted: rgba(107, 138, 107, 0.1);
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-}
-
-body {
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-h1, h2, h3, h4 {
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-  background: var(--terracotta);
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-.view-switcher button:hover:not(.active) { color: rgba(250,246,241,0.7); }
-
-.view { display: none; }
-.view.active { display: block; }
-
-/* ===== LANDING ===== */
-
-.landing-nav {
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-  padding: 20px 56px;
-  background: rgba(250, 246, 241, 0.9);
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-  border-bottom: 1px solid var(--border-subtle);
-  position: sticky;
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-}
-.nav-logo {
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-.nav-logo em { font-style: italic; color: var(--terracotta); }
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-.nav-links a {
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-.btn-ghost:hover { color: var(--text-dark); background: var(--bg-cream); }
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-  font-family: 'Plus Jakarta Sans', sans-serif;
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-  padding: 12px 28px;
-  border: 1.5px solid var(--border);
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-/* -- Hero -- */
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-.hero-bar {
-  height: 8px;
-  background: var(--bg-cream);
-  border-radius: 100px;
-  overflow: hidden;
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-.hero-bar-fill {
-  height: 100%;
-  border-radius: 100px;
-  background: linear-gradient(90deg, var(--terracotta), var(--amber));
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-  padding: 6px 14px;
-  background: var(--bg-cream);
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-.hero-floating-badge {
-  position: absolute;
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-  background: var(--sage);
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-  font-size: 12px;
-  font-weight: 600;
-  padding: 8px 16px;
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-
-/* -- Trust -- */
-.trust-bar {
-  display: flex;
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-  gap: 40px;
-  padding: 48px 56px;
-  background: var(--bg-white);
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-/* -- Features -- */
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-/* -- CTA -- */
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-.landing-footer {
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-/* ===== DASHBOARD ===== */
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-.sidebar {
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-.user-avatar {
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-.user-name { font-size: 14px; font-weight: 600; color: var(--text-dark); }
-.user-email { font-size: 12px; color: var(--text-muted); }
-.sidebar-nav {
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-  padding: 16px 12px;
-}
-.nav-section {
-  font-size: 11px;
-  font-weight: 600;
-  text-transform: uppercase;
-  letter-spacing: 0.06em;
-  color: var(--text-light);
-  padding: 16px 16px 6px;
-}
-.nav-item {
-  display: flex;
-  align-items: center;
-  gap: 12px;
-  padding: 10px 16px;
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-  font-size: 14px;
-  font-weight: 500;
-  color: var(--text-body);
-  cursor: pointer;
-  transition: all 0.15s;
-  text-decoration: none;
-}
-.nav-item:hover { background: var(--bg-cream); }
-.nav-item.active {
-  background: var(--terracotta-muted);
-  color: var(--terracotta);
-  font-weight: 600;
-}
-.sidebar-footer {
-  padding: 16px 24px;
-  border-top: 1px solid var(--border-subtle);
-  font-size: 12px;
-  color: var(--text-light);
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-
-.main-content {
-  flex: 1;
-  padding: 40px 48px;
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-.page-header {
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-.page-title {
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-.page-subtitle {
-  font-size: 15px;
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-  margin-top: 4px;
-  font-family: 'Plus Jakarta Sans', sans-serif;
-}
-
-/* -- Welcome Card -- */
-.welcome-card {
-  background: linear-gradient(135deg, var(--bg-dark) 0%, #3d3530 100%);
-  border-radius: var(--radius-xl);
-  padding: 36px 40px;
-  margin-bottom: 28px;
-  color: var(--text-inverse);
-  display: flex;
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-.welcome-text h2 {
-  font-size: 24px;
-  color: var(--text-inverse);
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-.welcome-text p {
-  font-size: 14px;
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-.welcome-stats {
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-.welcome-stat-label {
-  font-size: 12px;
-  color: rgba(250,246,241,0.5);
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-/* -- Stats -- */
-.stats-row {
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-  gap: 16px;
-  margin-bottom: 28px;
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-.stat-card {
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-.stat-card:hover { box-shadow: var(--shadow-warm); }
-.stat-label {
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-.stat-value {
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-.stat-badge.up { background: var(--sage-muted); color: var(--sage); }
-.stat-badge.neutral { background: var(--amber-muted); color: var(--amber); }
-
-/* -- Content Grid -- */
-.content-grid {
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-  grid-template-columns: 3fr 2fr;
-  gap: 20px;
-}
-.card {
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-.card-title {
-  font-family: 'Plus Jakarta Sans', sans-serif;
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-.data-table {
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-.data-table th {
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-  padding: 8px 0;
-  border-bottom: 1px solid var(--border);
-}
-.data-table td {
-  font-size: 14px;
-  padding: 14px 0;
-  border-bottom: 1px solid var(--border-subtle);
-  color: var(--text-body);
-}
-.data-table tr:last-child td { border-bottom: none; }
-.model-chip {
-  font-size: 12px;
-  font-weight: 500;
-  padding: 4px 12px;
-  background: var(--bg-cream);
-  border-radius: 100px;
-  color: var(--text-body);
-}
-
-/* -- Quick Actions -- */
-.quick-actions {
-  display: grid;
-  grid-template-columns: 1fr 1fr;
-  gap: 10px;
-}
-.quick-action {
-  padding: 18px;
-  background: var(--bg-cream);
-  border-radius: var(--radius-sm);
-  cursor: pointer;
-  transition: all 0.2s;
-  text-decoration: none;
-  display: block;
-}
-.quick-action:hover { background: var(--bg-sand); }
-.quick-action-icon {
-  font-size: 20px;
-  margin-bottom: 8px;
-}
-.quick-action-title {
-  font-size: 13px;
-  font-weight: 600;
-  color: var(--text-dark);
-  margin-bottom: 2px;
-}
-.quick-action-desc {
-  font-size: 11px;
-  color: var(--text-muted);
-}
-
-/* ===== Animations ===== */
-@keyframes fadeUp {
-  from { opacity: 0; transform: translateY(16px); }
-  to { opacity: 1; transform: translateY(0); }
-}
-</style>
-</head>
-<body>
-
-<div class="view-switcher">
-  <button class="active" onclick="showView('landing')">Landing</button>
-  <button onclick="showView('dashboard')">Dashboard</button>
-</div>
-
-<!-- ===== LANDING ===== -->
-<div id="landing" class="view active">
-  <nav class="landing-nav">
-    <div class="nav-logo">Cert<em>if</em>AI</div>
-    <ul class="nav-links">
-      <li><a href="#">Features</a></li>
-      <li><a href="#">How It Works</a></li>
-      <li><a href="#">Pricing</a></li>
-      <li><a href="#">Contact</a></li>
-    </ul>
-    <div class="nav-cta">
-      <button class="btn-ghost">Sign In</button>
-      <button class="btn-primary">Get Started</button>
-    </div>
-  </nav>
-
-  <section class="hero">
-    <div class="hero-text">
-      <div class="hero-eyebrow">Private AI Infrastructure</div>
-      <h1>AI that stays <em>in-house</em></h1>
-      <p>A friendly, powerful dashboard for managing your self-hosted GenAI tools. No data leaves your servers. No compromises on capability.</p>
-      <div class="hero-actions">
-        <button class="btn-primary" style="padding:14px 32px; font-size:15px;">Start Free Trial</button>
-        <button class="btn-outline" style="padding:14px 32px; font-size:15px;">Watch Demo</button>
-      </div>
-    </div>
-    <div class="hero-visual">
-      <div class="hero-floating-badge">5 models live</div>
-      <div class="hero-card">
-        <div class="hero-card-header">
-          <div class="hero-card-dot"></div>
-          <span class="hero-card-label">System Overview</span>
-        </div>
-        <div class="hero-metric">
-          <div class="hero-metric-label">Token usage this month</div>
-          <div class="hero-metric-value">847,000</div>
-        </div>
-        <div class="hero-bar"><div class="hero-bar-fill"></div></div>
-        <div class="hero-models">
-          <span class="hero-model-chip">Qwen3-Coder</span>
-          <span class="hero-model-chip">Llama 3.1</span>
-          <span class="hero-model-chip">Mistral</span>
-          <span class="hero-model-chip">Gemma 2</span>
-        </div>
-      </div>
-    </div>
-  </section>
-
-  <div class="trust-bar">
-    <div class="trust-item"><div class="trust-icon">&#9745;</div>100% On-Premise</div>
-    <div class="trust-item"><div class="trust-icon">&#9878;</div>GDPR Compliant</div>
-    <div class="trust-item"><div class="trust-icon">&#9873;</div>EU Data Only</div>
-    <div class="trust-item"><div class="trust-icon">&#9711;</div>Zero Third-Party</div>
-  </div>
-
-  <section class="features">
-    <div class="section-header">
-      <h2>Everything you need, nothing you don't</h2>
-      <p>Simple tools for managing sophisticated AI infrastructure.</p>
-    </div>
-    <div class="features-grid">
-      <div class="feature-card">
-        <div class="feature-emoji">&#9881;</div>
-        <h3>Self-Hosted Infrastructure</h3>
-        <p>Your hardware, your cloud, your rules. Deploy with a single command.</p>
-      </div>
-      <div class="feature-card">
-        <div class="feature-emoji">&#9741;</div>
-        <h3>Multi-Model Gateway</h3>
-        <p>One API for all your models. Switch providers without changing a line of code.</p>
-      </div>
-      <div class="feature-card">
-        <div class="feature-emoji">&#10070;</div>
-        <h3>Visual Agent Builder</h3>
-        <p>Drag-and-drop workflows for building AI agents that actually work.</p>
-      </div>
-      <div class="feature-card">
-        <div class="feature-emoji">&#9211;</div>
-        <h3>Single Sign-On</h3>
-        <p>Connect your existing identity provider. One login for everything.</p>
-      </div>
-      <div class="feature-card">
-        <div class="feature-emoji">&#9776;</div>
-        <h3>Usage Analytics</h3>
-        <p>Track every token, every dollar, every model. Full transparency.</p>
-      </div>
-      <div class="feature-card">
-        <div class="feature-emoji">&#10132;</div>
-        <h3>API & Integrations</h3>
-        <p>REST APIs, webhooks, and MCP server support out of the box.</p>
-      </div>
-    </div>
-  </section>
-
-  <section class="cta-section">
-    <div class="cta-box">
-      <h2>Let's get you set up</h2>
-      <p>No credit card. No sales call. Just your AI infrastructure, ready in minutes.</p>
-      <button class="btn-warm">Start Your Free Trial</button>
-    </div>
-  </section>
-
-  <footer class="landing-footer">
-    <span>&copy; 2026 CERTifAI</span>
-    <div class="footer-links">
-      <a href="#">Privacy</a>
-      <a href="#">Impressum</a>
-      <a href="#">Contact</a>
-    </div>
-  </footer>
-</div>
-
-<!-- ===== DASHBOARD ===== -->
-<div id="dashboard" class="view">
-  <div class="dashboard-layout">
-    <aside class="sidebar">
-      <div class="sidebar-brand"><h2>Cert<em>if</em>AI</h2></div>
-      <div class="sidebar-user">
-        <div class="user-avatar">MM</div>
-        <div>
-          <div class="user-name">Max Mustermann</div>
-          <div class="user-email">max@company.de</div>
-        </div>
-      </div>
-      <nav class="sidebar-nav">
-        <div class="nav-section">Main</div>
-        <a class="nav-item active">&#9632; Dashboard</a>
-        <a class="nav-item">&#9674; Providers</a>
-        <a class="nav-item">&#9993; Chat</a>
-        <div class="nav-section">Developer</div>
-        <a class="nav-item">&#9881; Agents</a>
-        <a class="nav-item">&#10697; Workflows</a>
-        <a class="nav-item">&#9776; Analytics</a>
-        <div class="nav-section">Organization</div>
-        <a class="nav-item">&#9733; Billing</a>
-        <a class="nav-item">&#10070; Members</a>
-      </nav>
-      <div class="sidebar-footer">v0.1.0</div>
-    </aside>
-
-    <main class="main-content">
-      <div class="page-header">
-        <div>
-          <h1 class="page-title">Good morning, Max</h1>
-          <p class="page-subtitle">Here's what's happening with your AI stack today.</p>
-        </div>
-        <button class="btn-primary">New Search</button>
-      </div>
-
-      <div class="welcome-card">
-        <div class="welcome-text">
-          <h2>February Overview</h2>
-          <p>Your team used 847K tokens across 5 models this month.</p>
-        </div>
-        <div class="welcome-stats">
-          <div>
-            <div class="welcome-stat-value">$47.82</div>
-            <div class="welcome-stat-label">Total spend</div>
-          </div>
-          <div>
-            <div class="welcome-stat-value">4/25</div>
-            <div class="welcome-stat-label">Seats used</div>
-          </div>
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-      <div class="stats-row">
-        <div class="stat-card">
-          <div class="stat-label">Active Models</div>
-          <div class="stat-value">5</div>
-          <span class="stat-badge up">All healthy</span>
-        </div>
-        <div class="stat-card">
-          <div class="stat-label">Agents Running</div>
-          <div class="stat-value">3</div>
-          <span class="stat-badge neutral">2 idle</span>
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-        <div class="stat-card">
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-          <div class="stat-value">Mar 1</div>
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-
-      <div class="content-grid">
-        <div class="card">
-          <div class="card-title">Usage by Model</div>
-          <table class="data-table">
-            <thead>
-              <tr><th>Model</th><th>Tokens</th><th>Spend</th></tr>
-            </thead>
-            <tbody>
-              <tr><td><span class="model-chip">Qwen3-Coder-30B</span></td><td>342K</td><td>$18.40</td></tr>
-              <tr><td><span class="model-chip">Llama-3.1-70B</span></td><td>285K</td><td>$15.20</td></tr>
-              <tr><td><span class="model-chip">Mistral-7B</span></td><td>120K</td><td>$8.42</td></tr>
-              <tr><td><span class="model-chip">Gemma-2-9B</span></td><td>65K</td><td>$3.80</td></tr>
-              <tr><td><span class="model-chip">Phi-3-mini</span></td><td>35K</td><td>$2.00</td></tr>
-            </tbody>
-          </table>
-        </div>
-
-        <div class="card">
-          <div class="card-title">Quick Actions</div>
-          <div class="quick-actions">
-            <a class="quick-action">
-              <div class="quick-action-icon">&#9993;</div>
-              <div class="quick-action-title">Open Chat</div>
-              <div class="quick-action-desc">Ask your models anything</div>
-            </a>
-            <a class="quick-action">
-              <div class="quick-action-icon">&#9881;</div>
-              <div class="quick-action-title">Manage Agents</div>
-              <div class="quick-action-desc">View running agents</div>
-            </a>
-            <a class="quick-action">
-              <div class="quick-action-icon">&#9776;</div>
-              <div class="quick-action-title">View Analytics</div>
-              <div class="quick-action-desc">Langfuse dashboard</div>
-            </a>
-            <a class="quick-action">
-              <div class="quick-action-icon">&#10070;</div>
-              <div class="quick-action-title">Invite Team</div>
-              <div class="quick-action-desc">Add new members</div>
-            </a>
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-      </div>
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-  event.target.classList.add('active');
-}
-</script>
-</body>
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design-templates/04-glass-aurora.html

@@ -1,963 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-<head>
-<meta charset="UTF-8">
-<meta name="viewport" content="width=device-width, initial-scale=1.0">
-<title>CERTifAI - Template 4: Glass Aurora</title>
-<link rel="preconnect" href="https://fonts.googleapis.com">
-<link href="https://fonts.googleapis.com/css2?family=Sora:wght@300;400;500;600;700;800&family=Literata:ital,opsz,wght@0,7..72,400;0,7..72,500;0,7..72,600;0,7..72,700;1,7..72,400&display=swap" rel="stylesheet">
-<style>
-/* ========================================================================
-   TEMPLATE 4: GLASS AURORA
-   ========================================================================
-   Mood:       Vibrant, modern, glassmorphic, bold gradients
-   Audience:   SaaS-savvy buyers, modern enterprises, AI-native teams
-   Palette:    Deep navy/purple base, aurora gradient accents, glass effects
-   Fonts:      Sora (headings) + Literata (body)
-   Feel:       Premium SaaS, forward-looking, rich, confident
-   ======================================================================== */
-
-*, *::before, *::after { margin: 0; padding: 0; box-sizing: border-box; }
-
-:root {
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-  --bg-primary: #100e24;
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-  --bg-glass: rgba(255, 255, 255, 0.04);
-  --bg-glass-hover: rgba(255, 255, 255, 0.07);
-  --text-bright: #f4f0ff;
-  --text-primary: #cfc8e8;
-  --text-secondary: #8b82aa;
-  --text-muted: #5a5280;
-  --gradient-start: #6366f1;
-  --gradient-mid: #a855f7;
-  --gradient-end: #ec4899;
-  --aurora: linear-gradient(135deg, #6366f1, #8b5cf6, #a855f7, #ec4899);
-  --aurora-muted: linear-gradient(135deg, rgba(99,102,241,0.12), rgba(168,85,247,0.12));
-  --glass-border: rgba(255, 255, 255, 0.08);
-  --glass-border-bright: rgba(255, 255, 255, 0.12);
-  --green: #34d399;
-  --green-dim: rgba(52, 211, 153, 0.15);
-  --shadow-glow: 0 0 60px rgba(139, 92, 246, 0.08);
-  --radius: 16px;
-  --radius-sm: 10px;
-  --radius-xl: 24px;
-}
-
-body {
-  font-family: 'Literata', serif;
-  color: var(--text-primary);
-  background: var(--bg-deep);
-  line-height: 1.7;
-  -webkit-font-smoothing: antialiased;
-}
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-h1, h2, h3, h4 {
-  font-family: 'Sora', sans-serif;
-  font-weight: 700;
-  line-height: 1.15;
-  color: var(--text-bright);
-}
-
-/* ===== View Switcher ===== */
-.view-switcher {
-  position: fixed;
-  top: 16px;
-  right: 16px;
-  z-index: 9999;
-  display: flex;
-  gap: 2px;
-  background: var(--bg-card);
-  backdrop-filter: blur(20px);
-  border: 1px solid var(--glass-border);
-  padding: 4px;
-  border-radius: 12px;
-}
-.view-switcher button {
-  font-family: 'Sora', sans-serif;
-  font-size: 12px;
-  font-weight: 600;
-  border: none;
-  padding: 8px 18px;
-  border-radius: 9px;
-  cursor: pointer;
-  background: transparent;
-  color: var(--text-muted);
-  transition: all 0.25s;
-}
-.view-switcher button.active {
-  background: var(--aurora);
-  color: #fff;
-}
-.view-switcher button:hover:not(.active) { color: var(--text-primary); }
-
-.view { display: none; }
-.view.active { display: block; }
-
-/* ===== LANDING ===== */
-
-.landing-bg {
-  position: relative;
-  overflow: hidden;
-}
-.landing-bg::before {
-  content: '';
-  position: fixed;
-  top: -40%;
-  left: -20%;
-  width: 80%;
-  height: 80%;
-  background: radial-gradient(ellipse, rgba(99,102,241,0.12) 0%, transparent 60%);
-  pointer-events: none;
-}
-.landing-bg::after {
-  content: '';
-  position: fixed;
-  bottom: -30%;
-  right: -20%;
-  width: 70%;
-  height: 70%;
-  background: radial-gradient(ellipse, rgba(236,72,153,0.08) 0%, transparent 60%);
-  pointer-events: none;
-}
-
-.landing-nav {
-  display: flex;
-  align-items: center;
-  justify-content: space-between;
-  padding: 18px 56px;
-  background: rgba(16, 14, 36, 0.6);
-  backdrop-filter: blur(24px);
-  border-bottom: 1px solid var(--glass-border);
-  position: sticky;
-  top: 0;
-  z-index: 100;
-}
-.nav-logo {
-  font-family: 'Sora', sans-serif;
-  font-size: 22px;
-  font-weight: 800;
-  background: var(--aurora);
-  -webkit-background-clip: text;
-  -webkit-text-fill-color: transparent;
-}
-.nav-links {
-  display: flex;
-  gap: 32px;
-  list-style: none;
-}
-.nav-links a {
-  text-decoration: none;
-  color: var(--text-secondary);
-  font-family: 'Sora', sans-serif;
-  font-size: 13px;
-  font-weight: 500;
-  transition: color 0.2s;
-}
-.nav-links a:hover { color: var(--text-bright); }
-.nav-cta { display: flex; gap: 10px; }
-.btn-ghost {
-  font-family: 'Sora', sans-serif;
-  font-size: 13px;
-  font-weight: 500;
-  padding: 10px 22px;
-  border: 1px solid var(--glass-border);
-  background: transparent;
-  color: var(--text-secondary);
-  cursor: pointer;
-  border-radius: var(--radius-sm);
-  transition: all 0.2s;
-}
-.btn-ghost:hover { border-color: var(--glass-border-bright); color: var(--text-bright); }
-.btn-primary {
-  font-family: 'Sora', sans-serif;
-  font-size: 13px;
-  font-weight: 600;
-  padding: 10px 24px;
-  border: none;
-  background: var(--aurora);
-  background-size: 200% 200%;
-  color: #fff;
-  cursor: pointer;
-  border-radius: var(--radius-sm);
-  transition: all 0.3s;
-}
-.btn-primary:hover { background-position: 100% 0; transform: translateY(-1px); box-shadow: 0 4px 24px rgba(139,92,246,0.3); }
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-<!-- ===== LANDING ===== -->
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-    <ul class="nav-links">
-      <li><a href="#">Features</a></li>
-      <li><a href="#">Pricing</a></li>
-      <li><a href="#">Docs</a></li>
-      <li><a href="#">Blog</a></li>
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-      <span class="pill accent">GDPR Native</span>
-      <span class="pill">Self-Hosted</span>
-      <span class="pill">EU Sovereign</span>
-    </div>
-    <h1>Sovereign AI<br><span class="gradient-text">infrastructure</span></h1>
-    <p>The complete platform for deploying, managing, and scaling private generative AI. Your data never leaves your perimeter.</p>
-    <div class="hero-actions">
-      <button class="btn-primary btn-lg">Start Free Trial</button>
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-          <div class="preview-stat-value">5</div>
-          <div class="preview-stat-label">Active Models</div>
-        </div>
-        <div class="preview-stat">
-          <div class="preview-stat-value">847K</div>
-          <div class="preview-stat-label">Tokens / Month</div>
-        </div>
-        <div class="preview-stat">
-          <div class="preview-stat-value">$47.82</div>
-          <div class="preview-stat-label">Total Spend</div>
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-      </div>
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-    <div class="trust-item"><div class="trust-dot"></div>GDPR Compliant</div>
-    <div class="trust-item"><div class="trust-dot"></div>EU Data Residency</div>
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-      <h2>Your AI, your way</h2>
-      <p>Every tool you need to run production AI without compromise.</p>
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-    <div class="features-grid">
-      <div class="feature-card">
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-        <h3>LLM Gateway</h3>
-        <p>Route between any model through a unified API. LiteLLM proxy with full cost tracking.</p>
-      </div>
-      <div class="feature-card">
-        <div class="feature-icon-bar"></div>
-        <h3>Agent Platform</h3>
-        <p>Build and deploy LangGraph agents with visual workflows and real-time monitoring.</p>
-      </div>
-      <div class="feature-card">
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-        <h3>Observability</h3>
-        <p>Langfuse integration for traces, prompt engineering, and cost attribution.</p>
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-      <div class="feature-card">
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-      <div class="feature-card">
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-        <h3>API-First</h3>
-        <p>REST endpoints, API keys, webhooks. Plug CERTifAI into your existing stack.</p>
-      </div>
-    </div>
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-  <section class="cta-section">
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-      <h2>Deploy in 30 minutes</h2>
-      <p>No credit card required. Full access to every feature.</p>
-      <button class="btn-primary btn-lg">Start Free Trial</button>
-    </div>
-  </section>
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-  <footer class="landing-footer">
-    <span>&copy; 2026 CERTifAI GmbH</span>
-    <div class="footer-links">
-      <a href="#">Privacy</a>
-      <a href="#">Impressum</a>
-      <a href="#">Terms</a>
-    </div>
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-
-<!-- ===== DASHBOARD ===== -->
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-  <div class="dashboard-layout">
-    <aside class="sidebar">
-      <div class="sidebar-brand"><h2>CERTifAI</h2></div>
-      <div class="sidebar-user">
-        <div class="user-avatar">MM</div>
-        <div>
-          <div class="user-name">Max Mustermann</div>
-          <div class="user-email">max@company.de</div>
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-        <div class="nav-group">Main</div>
-        <a class="nav-item active">&#9632; Dashboard</a>
-        <a class="nav-item">&#9674; Providers</a>
-        <a class="nav-item">&#9993; Chat</a>
-        <div class="nav-group">Developer</div>
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-    <main class="main-content">
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-        <button class="btn-primary">New Search</button>
-      </div>
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-      <div class="gradient-banner">
-        <div class="banner-text">
-          <h3>February 2026</h3>
-          <p>Your infrastructure is healthy. All models are responding.</p>
-        </div>
-        <div class="banner-stats">
-          <div>
-            <div class="banner-stat-value">$47.82</div>
-            <div class="banner-stat-label">Total Spend</div>
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-            <div class="banner-stat-value">847K</div>
-            <div class="banner-stat-label">Tokens Used</div>
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-          <div class="stat-value">5</div>
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-        </div>
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-          <div class="stat-value">4/25</div>
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-          <div class="stat-value">3</div>
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-          <div class="stat-value">Mar 1</div>
-          <div class="stat-sub" style="color:var(--text-muted)">3 days left</div>
-        </div>
-      </div>
-
-      <div class="content-grid">
-        <div class="card">
-          <div class="card-header">
-            <div class="card-title">Model Usage</div>
-            <span class="card-badge">This Month</span>
-          </div>
-          <table class="data-table">
-            <thead>
-              <tr><th>Model</th><th>Tokens</th><th>Spend</th><th>Status</th></tr>
-            </thead>
-            <tbody>
-              <tr><td><span class="model-tag">Qwen3-Coder-30B</span></td><td>342K</td><td>$18.40</td><td><span class="status-online"></span>Active</td></tr>
-              <tr><td><span class="model-tag">Llama-3.1-70B</span></td><td>285K</td><td>$15.20</td><td><span class="status-online"></span>Active</td></tr>
-              <tr><td><span class="model-tag">Mistral-7B</span></td><td>120K</td><td>$8.42</td><td><span class="status-online"></span>Active</td></tr>
-              <tr><td><span class="model-tag">Gemma-2-9B</span></td><td>65K</td><td>$3.80</td><td><span class="status-online"></span>Active</td></tr>
-              <tr><td><span class="model-tag">Phi-3-mini</span></td><td>35K</td><td>$2.00</td><td style="color:var(--text-muted)">Idle</td></tr>
-            </tbody>
-          </table>
-        </div>
-
-        <div class="card">
-          <div class="card-header">
-            <div class="card-title">Services</div>
-          </div>
-          <div class="service-item">
-            <div>
-              <div class="service-name">LiteLLM Proxy</div>
-              <div class="service-url">llm-dev.meghsakha.com</div>
-            </div>
-            <span class="service-status online">Online</span>
-          </div>
-          <div class="service-item">
-            <div>
-              <div class="service-name">LangGraph</div>
-              <div class="service-url">agents.internal</div>
-            </div>
-            <span class="service-status online">Online</span>
-          </div>
-          <div class="service-item">
-            <div>
-              <div class="service-name">Langfuse</div>
-              <div class="service-url">analytics.internal</div>
-            </div>
-            <span class="service-status online">Online</span>
-          </div>
-          <div class="service-item">
-            <div>
-              <div class="service-name">LangFlow</div>
-              <div class="service-url">--</div>
-            </div>
-            <span class="service-status offline">Not Configured</span>
-          </div>
-        </div>
-      </div>
-    </main>
-  </div>
-</div>
-
-<script>
-function showView(id) {
-  document.querySelectorAll('.view').forEach(v => v.classList.remove('active'));
-  document.querySelectorAll('.view-switcher button').forEach(b => b.classList.remove('active'));
-  document.getElementById(id).classList.add('active');
-  event.target.classList.add('active');
-}
-</script>
-</body>
-</html>

design-templates/05-swiss-grid.html

@@ -1,928 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-<head>
-<meta charset="UTF-8">
-<meta name="viewport" content="width=device-width, initial-scale=1.0">
-<title>CERTifAI - Template 5: Swiss Grid</title>
-<link rel="preconnect" href="https://fonts.googleapis.com">
-<link href="https://fonts.googleapis.com/css2?family=IBM+Plex+Sans:wght@300;400;500;600;700&family=IBM+Plex+Mono:wght@400;500;600&display=swap" rel="stylesheet">
-<style>
-/* ========================================================================
-   TEMPLATE 5: SWISS GRID
-   ========================================================================
-   Mood:       Structured, editorial, Swiss design / International Typographic Style
-   Audience:   Government, defense, Mittelstand, compliance-heavy industries
-   Palette:    High-contrast B&W with a single signal red accent
-   Fonts:      IBM Plex Sans (body) + IBM Plex Mono (data/code)
-   Feel:       Authoritative, engineered, precise, like a Braun product manual
-   ======================================================================== */
-
-*, *::before, *::after { margin: 0; padding: 0; box-sizing: border-box; }
-
-:root {
-  --bg-white: #ffffff;
-  --bg-light: #f5f5f5;
-  --bg-warm: #fafafa;
-  --bg-dark: #111111;
-  --bg-darkgrey: #1a1a1a;
-  --text-black: #111111;
-  --text-dark: #333333;
-  --text-body: #555555;
-  --text-muted: #888888;
-  --text-light: #bbbbbb;
-  --text-inverse: #ffffff;
-  --red: #e63525;
-  --red-muted: rgba(230, 53, 37, 0.06);
-  --red-border: rgba(230, 53, 37, 0.15);
-  --green: #1a8754;
-  --green-muted: rgba(26, 135, 84, 0.08);
-  --border: #e5e5e5;
-  --border-dark: #d0d0d0;
-  --shadow: 0 1px 3px rgba(0,0,0,0.04);
-}
-
-body {
-  font-family: 'IBM Plex Sans', sans-serif;
-  color: var(--text-dark);
-  background: var(--bg-white);
-  line-height: 1.6;
-  -webkit-font-smoothing: antialiased;
-}
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-h1, h2, h3, h4 {
-  font-family: 'IBM Plex Sans', sans-serif;
-  font-weight: 600;
-  line-height: 1.2;
-  color: var(--text-black);
-}
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-/* ===== View Switcher ===== */
-.view-switcher {
-  position: fixed;
-  top: 16px;
-  right: 16px;
-  z-index: 9999;
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-  padding: 3px;
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-}
-.view-switcher button {
-  font-family: 'IBM Plex Mono', monospace;
-  font-size: 11px;
-  font-weight: 600;
-  letter-spacing: 0.04em;
-  text-transform: uppercase;
-  border: none;
-  padding: 8px 16px;
-  border-radius: 4px;
-  cursor: pointer;
-  background: transparent;
-  color: rgba(255,255,255,0.35);
-  transition: all 0.15s;
-}
-.view-switcher button.active {
-  background: var(--red);
-  color: #fff;
-}
-.view-switcher button:hover:not(.active) { color: rgba(255,255,255,0.7); }
-
-.view { display: none; }
-.view.active { display: block; }
-
-/* ===== LANDING ===== */
-
-.landing-nav {
-  display: flex;
-  align-items: center;
-  justify-content: space-between;
-  padding: 0 56px;
-  height: 64px;
-  background: var(--bg-white);
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-  position: sticky;
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-.nav-logo .red { color: var(--red); }
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-.nav-links a {
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-  border: 2px solid var(--text-black);
-  background: var(--text-black);
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-.btn-dark:hover { background: var(--red); border-color: var(--red); }
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-  font-family: 'IBM Plex Sans', sans-serif;
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-}
-.btn-bordered:hover { background: var(--bg-light); }
-
-/* -- Hero -- */
-.hero {
-  padding: 100px 56px 80px;
-  display: grid;
-  grid-template-columns: 7fr 5fr;
-  gap: 80px;
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-.hero-text {
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-.hero-right {
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-.hero-fact-text {
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-.hero-fact.accent .hero-fact-number { color: var(--red); }
-.hero-fact.accent .hero-fact-text { color: rgba(255,255,255,0.5); }
-
-/* -- Principles Bar -- */
-.principles {
-  display: grid;
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-  border-bottom: 1px solid var(--border);
-}
-.principle {
-  padding: 36px 32px;
-  border-right: 1px solid var(--border);
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-.principle:last-child { border-right: none; }
-.principle-num {
-  font-family: 'IBM Plex Mono', monospace;
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-.principle h3 {
-  font-size: 16px;
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-.principle p {
-  font-size: 13px;
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-  line-height: 1.6;
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-/* -- Features -- */
-.features {
-  padding: 80px 56px;
-  max-width: 1200px;
-  margin: 0 auto;
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-  margin-bottom: 56px;
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-.feature-cell:nth-child(3n) { border-right: none; }
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-.feature-cell:hover { background: var(--bg-light); }
-.feature-label {
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-/* -- CTA -- */
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-.cta-box {
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-.btn-red:hover { opacity: 0.9; }
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-.landing-footer {
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-.footer-links a:hover { color: var(--text-black); }
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-/* ===== DASHBOARD ===== */
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-.dashboard-layout {
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-.sidebar {
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-.nav-item:hover { color: rgba(255,255,255,0.7); background: rgba(255,255,255,0.03); }
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-.main-content {
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-/* -- Stats -- */
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-/* -- Content -- */
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-.card {
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-.card + .card { border-left: none; }
-.card-header {
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-.card-badge {
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-  background: var(--red-muted);
-  color: var(--red);
-  border: 1px solid var(--red-border);
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-
-.data-table {
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-}
-.data-table th {
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-  text-transform: uppercase;
-  color: var(--text-muted);
-  text-align: left;
-  padding: 8px 0;
-  border-bottom: 2px solid var(--text-black);
-}
-.data-table td {
-  font-family: 'IBM Plex Mono', monospace;
-  font-size: 12px;
-  padding: 12px 0;
-  border-bottom: 1px solid var(--border);
-  color: var(--text-dark);
-}
-.data-table tr:last-child td { border-bottom: none; }
-.data-table tr:hover { background: var(--bg-light); }
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-.status-dot {
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-  height: 6px;
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-.status-dot.on { background: var(--green); }
-.status-dot.off { background: var(--text-light); }
-
-/* -- Member List -- */
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-  gap: 12px;
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-}
-.member-row:last-child { border-bottom: none; }
-.member-initial {
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-  background: var(--bg-dark);
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-  display: flex;
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-  letter-spacing: 0.06em;
-  color: var(--text-muted);
-}
-
-@keyframes slideIn {
-  from { opacity: 0; transform: translateX(-12px); }
-  to { opacity: 1; transform: translateX(0); }
-}
-</style>
-</head>
-<body>
-
-<div class="view-switcher">
-  <button class="active" onclick="showView('landing')">LANDING</button>
-  <button onclick="showView('dashboard')">DASHBOARD</button>
-</div>
-
-<!-- ===== LANDING ===== -->
-<div id="landing" class="view active">
-  <nav class="landing-nav">
-    <div class="nav-logo">CERTIF<span class="red">AI</span></div>
-    <ul class="nav-links">
-      <li><a href="#">Principles</a></li>
-      <li><a href="#">Capabilities</a></li>
-      <li><a href="#">Pricing</a></li>
-      <li><a href="#">Documentation</a></li>
-    </ul>
-    <div class="nav-cta">
-      <button class="btn-bordered">Sign In</button>
-      <button class="btn-dark">Deploy Now</button>
-    </div>
-  </nav>
-
-  <section class="hero">
-    <div class="hero-text">
-      <div class="hero-label">Private AI Infrastructure</div>
-      <h1>AI that answers<br>only to you.</h1>
-      <p>Sovereign generative AI infrastructure for organizations that treat data protection as non-negotiable. Deploy on your terms, inside your perimeter.</p>
-      <div class="hero-actions">
-        <button class="btn-dark">Request Access</button>
-        <button class="btn-bordered">Read Documentation</button>
-      </div>
-    </div>
-    <div class="hero-right">
-      <div class="hero-fact">
-        <div class="hero-fact-number">100%</div>
-        <div class="hero-fact-text">On-premise deployment. No data egress.</div>
-      </div>
-      <div class="hero-fact accent">
-        <div class="hero-fact-number">GDPR</div>
-        <div class="hero-fact-text">Article 28 compliant by architecture.</div>
-      </div>
-      <div class="hero-fact">
-        <div class="hero-fact-number">&lt;30min</div>
-        <div class="hero-fact-text">Full deployment including SSO and models.</div>
-      </div>
-    </div>
-  </section>
-
-  <div class="principles">
-    <div class="principle">
-      <div class="principle-num">01</div>
-      <h3>Data Sovereignty</h3>
-      <p>Your data never leaves your infrastructure. No telemetry, no third-party calls.</p>
-    </div>
-    <div class="principle">
-      <div class="principle-num">02</div>
-      <h3>Full Control</h3>
-      <p>Choose your models, set your policies, define your access rules.</p>
-    </div>
-    <div class="principle">
-      <div class="principle-num">03</div>
-      <h3>Transparency</h3>
-      <p>Every token tracked, every cost attributed, every trace logged.</p>
-    </div>
-    <div class="principle">
-      <div class="principle-num">04</div>
-      <h3>EU-Native</h3>
-      <p>Designed in Germany for EU compliance. No US-dependent services.</p>
-    </div>
-  </div>
-
-  <section class="features">
-    <div class="section-header">
-      <h2>Capabilities</h2>
-      <p>A complete platform for operating AI infrastructure at enterprise scale. Every component self-hosted, every interface yours to configure.</p>
-    </div>
-    <div class="features-grid">
-      <div class="feature-cell">
-        <div class="feature-label">ROUTING</div>
-        <h3>LLM Gateway</h3>
-        <p>LiteLLM proxy for unified multi-provider access through a single endpoint.</p>
-      </div>
-      <div class="feature-cell">
-        <div class="feature-label">ORCHESTRATION</div>
-        <h3>Agent Platform</h3>
-        <p>LangGraph for autonomous agents. LangFlow for visual workflow design.</p>
-      </div>
-      <div class="feature-cell">
-        <div class="feature-label">OBSERVABILITY</div>
-        <h3>Analytics</h3>
-        <p>Langfuse integration for tracing, cost tracking, and prompt versioning.</p>
-      </div>
-      <div class="feature-cell">
-        <div class="feature-label">IDENTITY</div>
-        <h3>SSO & RBAC</h3>
-        <p>Keycloak with SAML, OIDC, LDAP. Fine-grained role-based access control.</p>
-      </div>
-      <div class="feature-cell">
-        <div class="feature-label">INTEGRATION</div>
-        <h3>MCP & APIs</h3>
-        <p>Model Context Protocol servers and REST APIs for tool-augmented AI.</p>
-      </div>
-      <div class="feature-cell">
-        <div class="feature-label">MANAGEMENT</div>
-        <h3>Admin Dashboard</h3>
-        <p>Billing, team management, usage monitoring, and system configuration.</p>
-      </div>
-    </div>
-  </section>
-
-  <section class="cta-section">
-    <div class="cta-box">
-      <div>
-        <h2>Ready to deploy?</h2>
-        <p>Full operational AI stack. Under 30 minutes. No external dependencies.</p>
-      </div>
-      <button class="btn-red">Request Access</button>
-    </div>
-  </section>
-
-  <footer class="landing-footer">
-    <span>&copy; 2026 CERTifAI GmbH. Handelsregister HRB XXXXX.</span>
-    <div class="footer-links">
-      <a href="#">Datenschutz</a>
-      <a href="#">Impressum</a>
-      <a href="#">AGB</a>
-    </div>
-  </footer>
-</div>
-
-<!-- ===== DASHBOARD ===== -->
-<div id="dashboard" class="view">
-  <div class="dashboard-layout">
-    <aside class="sidebar">
-      <div class="sidebar-brand"><h2>CERTIF<span class="red">AI</span></h2></div>
-      <div class="sidebar-user">
-        <div class="user-avatar">MM</div>
-        <div>
-          <div class="user-name">Max Mustermann</div>
-          <div class="user-email">max@company.de</div>
-        </div>
-      </div>
-      <nav class="sidebar-nav">
-        <div class="nav-section">Core</div>
-        <a class="nav-item active">&#9632; Dashboard</a>
-        <a class="nav-item">&#9674; Providers</a>
-        <a class="nav-item">&#9993; Chat</a>
-        <div class="nav-section">Developer</div>
-        <a class="nav-item">&#10070; Agents</a>
-        <a class="nav-item">&#10697; Workflows</a>
-        <a class="nav-item">&#9776; Analytics</a>
-        <div class="nav-section">Organization</div>
-        <a class="nav-item">&#9733; Billing</a>
-        <a class="nav-item">&#9823; Members</a>
-      </nav>
-      <div class="sidebar-footer">CERTifAI v0.1.0</div>
-    </aside>
-
-    <main class="main-content">
-      <div class="page-header">
-        <div>
-          <h1 class="page-title">Dashboard</h1>
-          <p class="page-subtitle">System overview / February 2026</p>
-        </div>
-        <button class="btn-dark">+ New Search</button>
-      </div>
-
-      <div class="stats-row">
-        <div class="stat-cell">
-          <div class="stat-label">Total Spend</div>
-          <div class="stat-value">$47.82</div>
-          <div class="stat-bar"><div class="stat-bar-fill" style="width:48%"></div></div>
-        </div>
-        <div class="stat-cell">
-          <div class="stat-label">Tokens Used</div>
-          <div class="stat-value">847K</div>
-          <div class="stat-bar"><div class="stat-bar-fill" style="width:85%"></div></div>
-        </div>
-        <div class="stat-cell">
-          <div class="stat-label">Active Models</div>
-          <div class="stat-value">5</div>
-          <div class="stat-bar"><div class="stat-bar-fill" style="width:100%"></div></div>
-        </div>
-        <div class="stat-cell">
-          <div class="stat-label">Team Seats</div>
-          <div class="stat-value">4/25</div>
-          <div class="stat-bar"><div class="stat-bar-fill" style="width:16%"></div></div>
-        </div>
-      </div>
-
-      <div class="content-grid">
-        <div class="card">
-          <div class="card-header">
-            <div class="card-title">Model Usage</div>
-            <span class="card-badge">CURRENT MONTH</span>
-          </div>
-          <table class="data-table">
-            <thead>
-              <tr><th>Model</th><th>Tokens</th><th>Spend</th><th>Status</th></tr>
-            </thead>
-            <tbody>
-              <tr>
-                <td><span class="model-mono">Qwen3-Coder-30B</span></td>
-                <td>342,000</td>
-                <td>$18.40</td>
-                <td><span class="status-indicator"><span class="status-dot on"></span>Active</span></td>
-              </tr>
-              <tr>
-                <td><span class="model-mono">Llama-3.1-70B</span></td>
-                <td>285,000</td>
-                <td>$15.20</td>
-                <td><span class="status-indicator"><span class="status-dot on"></span>Active</span></td>
-              </tr>
-              <tr>
-                <td><span class="model-mono">Mistral-7B</span></td>
-                <td>120,000</td>
-                <td>$8.42</td>
-                <td><span class="status-indicator"><span class="status-dot on"></span>Active</span></td>
-              </tr>
-              <tr>
-                <td><span class="model-mono">Gemma-2-9B</span></td>
-                <td>65,000</td>
-                <td>$3.80</td>
-                <td><span class="status-indicator"><span class="status-dot on"></span>Active</span></td>
-              </tr>
-              <tr>
-                <td><span class="model-mono">Phi-3-mini</span></td>
-                <td>35,000</td>
-                <td>$2.00</td>
-                <td><span class="status-indicator"><span class="status-dot off"></span>Idle</span></td>
-              </tr>
-            </tbody>
-          </table>
-        </div>
-
-        <div class="card">
-          <div class="card-header">
-            <div class="card-title">Team</div>
-          </div>
-          <div class="member-row">
-            <div class="member-initial">MM</div>
-            <div>
-              <div class="member-name">Max Mustermann</div>
-              <div class="member-email">max@company.de</div>
-            </div>
-            <span class="member-role">Admin</span>
-          </div>
-          <div class="member-row">
-            <div class="member-initial">EM</div>
-            <div>
-              <div class="member-name">Erika Musterfrau</div>
-              <div class="member-email">erika@company.de</div>
-            </div>
-            <span class="member-role">Member</span>
-          </div>
-          <div class="member-row">
-            <div class="member-initial">JS</div>
-            <div>
-              <div class="member-name">Johann Schmidt</div>
-              <div class="member-email">johann@company.de</div>
-            </div>
-            <span class="member-role">Member</span>
-          </div>
-          <div class="member-row">
-            <div class="member-initial">AW</div>
-            <div>
-              <div class="member-name">Anna Weber</div>
-              <div class="member-email">anna@company.de</div>
-            </div>
-            <span class="member-role">Viewer</span>
-          </div>
-        </div>
-      </div>
-    </main>
-  </div>
-</div>
-
-<script>
-function showView(id) {
-  document.querySelectorAll('.view').forEach(v => v.classList.remove('active'));
-  document.querySelectorAll('.view-switcher button').forEach(b => b.classList.remove('active'));
-  document.getElementById(id).classList.add('active');
-  event.target.classList.add('active');
-}
-</script>
-</body>
-</html>

docker-compose.yml

@@ -55,8 +55,6 @@ services:
       mongo:
         condition: service_started
     environment:
-      # LiteLLM API key (used by librechat.yaml endpoint config)
-      LITELLM_API_KEY: ${LITELLM_API_KEY:-}
       # MongoDB (use localhost since we're on host network)
       MONGO_URI: mongodb://root:example@localhost:27017/librechat?authSource=admin
       DOMAIN_CLIENT: http://localhost:3080
@@ -72,6 +70,7 @@ services:
       OPENID_CALLBACK_URL: /oauth/openid/callback
       OPENID_SCOPE: openid profile email
       OPENID_BUTTON_LABEL: Login with CERTifAI
+      OPENID_AUTH_EXTRA_PARAMS: prompt=none
       # Disable local auth (SSO only)
       ALLOW_EMAIL_LOGIN: "false"
       ALLOW_REGISTRATION: "false"

librechat/librechat.yaml

@@ -1,5 +1,5 @@
 # CERTifAI LibreChat Configuration
-# LiteLLM proxy for unified multi-provider LLM access.
+# Ollama backend for self-hosted LLM inference.
 version: 1.2.8
 
 cache: true
@@ -19,16 +19,22 @@ interface:
 
 endpoints:
   custom:
-    - name: "LiteLLM"
+    - name: "Ollama"
-      apiKey: "${LITELLM_API_KEY}"
+      apiKey: "ollama"
-      baseURL: "https://llm-dev.meghsakha.com/v1/"
+      baseURL: "https://mac-mini-von-benjamin-2:11434/v1/"
       models:
         default:
-          - "Qwen3-Coder-30B-A3B-Instruct"
+          - "llama3.1:8b"
+          - "qwen3:30b-a3b"
         fetch: true
       titleConvo: true
       titleModel: "current_model"
       summarize: false
       summaryModel: "current_model"
       forcePrompt: false
-      modelDisplayLabel: "CERTifAI LiteLLM"
+      modelDisplayLabel: "CERTifAI Ollama"
+      dropParams:
+        - stop
+        - user
+        - frequency_penalty
+        - presence_penalty

src/app.rs

@@ -49,10 +49,10 @@ const MAIN_CSS: Asset = asset!("/assets/main.css");
 const TAILWIND_CSS: Asset = asset!("/assets/tailwind.css");
 const MANIFEST: Asset = asset!("/assets/manifest.json");
 
-/// Google Fonts URL for Literata (body) and Sora (headings).
+/// Google Fonts URL for Inter (body) and Space Grotesk (headings).
 const GOOGLE_FONTS: &str = "https://fonts.googleapis.com/css2?\
-    family=Sora:wght@300;400;500;600;700;800&\
+    family=Inter:wght@400;500;600&\
-    family=Literata:ital,opsz,wght@0,7..72,400;0,7..72,500;0,7..72,600;0,7..72,700;1,7..72,400&\
+    family=Space+Grotesk:wght@500;600;700&\
     display=swap";
 
 /// Root application component. Loads global assets and mounts the router.
@@ -85,14 +85,14 @@ pub fn App() -> Element {
             src: "https://seggwat.com/static/widgets/v1/seggwat-feedback.js",
             r#defer: true,
             "data-project-key": "a04b8cf1-9177-42ce-8a7b-084f38b99799",
-            "data-button-color": "#8b5cf6",
+            "data-button-color": "#6d85c6",
             "data-button-position": "right-side",
             "data-enable-screenshots": "true",
         }
 
         document::Link { rel: "icon", href: FAVICON }
         document::Link { rel: "manifest", href: MANIFEST }
-        document::Meta { name: "theme-color", content: "#0c0a1d" }
+        document::Meta { name: "theme-color", content: "#4B3FE0" }
         document::Meta { name: "apple-mobile-web-app-capable", content: "yes" }
         document::Meta {
             name: "apple-mobile-web-app-status-bar-style",

src/components/app_shell.rs

@@ -76,7 +76,6 @@ pub fn AppShell() -> Element {
                         name: info.name,
                         avatar_url: info.avatar_url,
                         librechat_url: info.librechat_url,
-                        compliance_scanner_url: info.compliance_scanner_url,
                         class: sidebar_cls,
                         on_nav: move |_| mobile_menu_open.set(false),
                     }

src/components/dashboard_sidebar.rs

@@ -1,9 +1,9 @@
 use dioxus::prelude::*;
 
 use crate::i18n::{t, Locale};
-use crate::infrastructure::litellm::{get_litellm_status, LitellmStatus};
+use crate::infrastructure::ollama::{get_ollama_status, OllamaStatus};
 
-/// Right sidebar for the dashboard, showing LiteLLM status, trending topics,
+/// Right sidebar for the dashboard, showing Ollama status, trending topics,
 /// and recent search history.
 ///
 /// Appears when no article card is selected. Disappears when the user opens
@@ -11,13 +11,13 @@ use crate::infrastructure::litellm::{get_litellm_status, LitellmStatus};
 ///
 /// # Props
 ///
-/// * `litellm_url` - LiteLLM proxy URL for status polling
+/// * `ollama_url` - Ollama instance URL for status polling
 /// * `trending` - Trending topic keywords extracted from recent news headlines
 /// * `recent_searches` - Recent search topics stored in localStorage
 /// * `on_topic_click` - Fires when a trending or recent topic is clicked
 #[component]
 pub fn DashboardSidebar(
-    litellm_url: String,
+    ollama_url: String,
     trending: Vec<String>,
     recent_searches: Vec<String>,
     on_topic_click: EventHandler<String>,
@@ -25,26 +25,26 @@ pub fn DashboardSidebar(
     let locale = use_context::<Signal<Locale>>();
     let l = *locale.read();
 
-    // Fetch LiteLLM status once on mount.
+    // Fetch Ollama status once on mount.
     // use_resource with no signal dependencies runs exactly once and
     // won't re-fire on parent re-renders (unlike use_effect).
-    let url = litellm_url.clone();
+    let url = ollama_url.clone();
     let status_resource = use_resource(move || {
         let u = url.clone();
         async move {
-            get_litellm_status(u).await.unwrap_or(LitellmStatus {
+            get_ollama_status(u).await.unwrap_or(OllamaStatus {
                 online: false,
                 models: Vec::new(),
             })
         }
     });
 
-    let current_status: LitellmStatus =
+    let current_status: OllamaStatus =
         status_resource
             .read()
             .as_ref()
             .cloned()
-            .unwrap_or(LitellmStatus {
+            .unwrap_or(OllamaStatus {
                 online: false,
                 models: Vec::new(),
             });
@@ -52,9 +52,9 @@ pub fn DashboardSidebar(
     rsx! {
         aside { class: "dashboard-sidebar",
 
-            // -- LiteLLM Status Section --
+            // -- Ollama Status Section --
             div { class: "sidebar-section",
-                h4 { class: "sidebar-section-title", "{t(l, \"dashboard.litellm_status\")}" }
+                h4 { class: "sidebar-section-title", "{t(l, \"dashboard.ollama_status\")}" }
                 div { class: "sidebar-status-row",
                     span { class: if current_status.online { "sidebar-status-dot sidebar-status-dot--online" } else { "sidebar-status-dot sidebar-status-dot--offline" } }
                     span { class: "sidebar-status-label",

src/components/news_card.rs

@@ -112,12 +112,12 @@ pub fn mock_news() -> Vec<NewsCardModel> {
             published_at: "2026-02-16".into(),
         },
         NewsCardModel {
-            title: "LiteLLM Adds Multi-Provider Routing".into(),
+            title: "Ollama Adds Multi-GPU Scheduling".into(),
-            source: "LiteLLM".into(),
+            source: "Ollama".into(),
-            summary: "Route requests across multiple LLM providers with automatic fallback.".into(),
+            summary: "Run large models across multiple GPUs with automatic sharding.".into(),
-            content: "LiteLLM now supports multi-provider routing with automatic \
+            content: "Ollama now supports multi-GPU scheduling with automatic \
-                fallback. Users can route requests across multiple providers \
+                model sharding. Users can run models across multiple GPUs \
-                for improved reliability and cost optimization."
+                for improved inference performance."
                 .into(),
             category: "Infrastructure".into(),
             url: "#".into(),

src/components/sidebar.rs

@@ -1,7 +1,7 @@
 use dioxus::prelude::*;
 use dioxus_free_icons::icons::bs_icons::{
     BsBoxArrowRight, BsBuilding, BsChatDots, BsCloudArrowUp, BsCodeSlash, BsGithub, BsGlobe2,
-    BsGrid, BsHouseDoor, BsMoonFill, BsShieldCheck, BsSunFill,
+    BsGrid, BsHouseDoor, BsMoonFill, BsSunFill,
 };
 use dioxus_free_icons::Icon;
 
@@ -44,14 +44,13 @@ pub fn Sidebar(
     email: String,
     avatar_url: String,
     #[props(default = "http://localhost:3080".to_string())] librechat_url: String,
-    #[props(default)] compliance_scanner_url: String,
     #[props(default = "sidebar".to_string())] class: String,
     #[props(default)] on_nav: EventHandler<()>,
 ) -> Element {
     let locale = use_context::<Signal<Locale>>();
     let locale_val = *locale.read();
 
-    let mut nav_items: Vec<NavItem> = vec![
+    let nav_items: Vec<NavItem> = vec![
         NavItem {
             key: "dashboard",
             label: t(locale_val, "nav.dashboard"),
@@ -85,16 +84,6 @@ pub fn Sidebar(
         },
     ];
 
-    // Only show the compliance scanner link when a URL is configured.
-    if !compliance_scanner_url.is_empty() {
-        nav_items.push(NavItem {
-            key: "compliance",
-            label: t(locale_val, "nav.compliance"),
-            target: NavTarget::External(compliance_scanner_url.clone()),
-            icon: rsx! { Icon { icon: BsShieldCheck, width: 18, height: 18 } },
-        });
-    }
-
     // Determine current path to highlight the active nav link.
     let current_route = use_route::<Route>();
     let logout_label = t(locale_val, "common.logout");

src/infrastructure/auth_check.rs

@@ -35,7 +35,6 @@ pub async fn check_auth() -> Result<AuthInfo, ServerFnError> {
             let langgraph_url = state.services.langgraph_url.clone();
             let langflow_url = state.services.langflow_url.clone();
             let langfuse_url = state.services.langfuse_url.clone();
-            let compliance_scanner_url = state.services.compliance_scanner_url.clone();
 
             Ok(AuthInfo {
                 authenticated: true,
@@ -47,7 +46,6 @@ pub async fn check_auth() -> Result<AuthInfo, ServerFnError> {
                 langgraph_url,
                 langflow_url,
                 langfuse_url,
-                compliance_scanner_url,
             })
         }
         None => Ok(AuthInfo::default()),

src/infrastructure/chat.rs

@@ -134,7 +134,7 @@ pub async fn list_chat_sessions() -> Result<Vec<ChatSession>, ServerFnError> {
 ///
 /// * `title` - Display title for the session
 /// * `namespace` - Namespace string: `"General"` or `"News"`
-/// * `provider` - LLM provider name (e.g. "litellm")
+/// * `provider` - LLM provider name (e.g. "ollama")
 /// * `model` - Model ID (e.g. "llama3.1:8b")
 /// * `article_url` - Source article URL (only for `News` namespace, empty if none)
 ///
@@ -441,8 +441,8 @@ pub async fn chat_complete(
 
     // Resolve provider URL and model
     let (base_url, model) = resolve_provider_url(
-        &state.services.litellm_url,
+        &state.services.ollama_url,
-        &state.services.litellm_model,
+        &state.services.ollama_model,
         &session.provider,
         &session.model,
     );
@@ -485,22 +485,22 @@ pub async fn chat_complete(
         .ok_or_else(|| ServerFnError::new("empty LLM response"))
 }
 
-/// Resolve the base URL for a provider, falling back to LiteLLM defaults.
+/// Resolve the base URL for a provider, falling back to Ollama defaults.
 ///
 /// # Arguments
 ///
-/// * `litellm_url` - Default LiteLLM base URL from config
+/// * `ollama_url` - Default Ollama base URL from config
-/// * `litellm_model` - Default LiteLLM model from config
+/// * `ollama_model` - Default Ollama model from config
 /// * `provider` - Provider name (e.g. "openai", "anthropic", "huggingface")
-/// * `model` - Model ID (may be empty for LiteLLM default)
+/// * `model` - Model ID (may be empty for Ollama default)
 ///
 /// # Returns
 ///
 /// A `(base_url, model)` tuple resolved for the given provider.
 #[cfg(feature = "server")]
 pub(crate) fn resolve_provider_url(
-    litellm_url: &str,
+    ollama_url: &str,
-    litellm_model: &str,
+    ollama_model: &str,
     provider: &str,
     model: &str,
 ) -> (String, String) {
@@ -511,11 +511,11 @@ pub(crate) fn resolve_provider_url(
             format!("https://api-inference.huggingface.co/models/{}", model),
             model.to_string(),
         ),
-        // Default to LiteLLM
+        // Default to Ollama
         _ => (
-            litellm_url.to_string(),
+            ollama_url.to_string(),
             if model.is_empty() {
-                litellm_model.to_string()
+                ollama_model.to_string()
             } else {
                 model.to_string()
             },
@@ -595,7 +595,7 @@ mod tests {
                 "_id": oid,
                 "user_sub": "u",
                 "title": "t",
-                "provider": "litellm",
+                "provider": "ollama",
                 "model": "m",
                 "created_at": "c",
                 "updated_at": "u",
@@ -612,7 +612,7 @@ mod tests {
                 "user_sub": "u",
                 "title": "t",
                 "namespace": "News",
-                "provider": "litellm",
+                "provider": "ollama",
                 "model": "m",
                 "created_at": "c",
                 "updated_at": "u",
@@ -684,13 +684,13 @@ mod tests {
 
         // -- resolve_provider_url --
 
-        const TEST_LITELLM_URL: &str = "http://localhost:4000";
+        const TEST_OLLAMA_URL: &str = "http://localhost:11434";
-        const TEST_LITELLM_MODEL: &str = "qwen3-32b";
+        const TEST_OLLAMA_MODEL: &str = "llama3.1:8b";
 
         #[test]
         fn resolve_openai_returns_api_openai() {
             let (url, model) =
-                resolve_provider_url(TEST_LITELLM_URL, TEST_LITELLM_MODEL, "openai", "gpt-4o");
+                resolve_provider_url(TEST_OLLAMA_URL, TEST_OLLAMA_MODEL, "openai", "gpt-4o");
             assert_eq!(url, "https://api.openai.com");
             assert_eq!(model, "gpt-4o");
         }
@@ -698,8 +698,8 @@ mod tests {
         #[test]
         fn resolve_anthropic_returns_api_anthropic() {
             let (url, model) = resolve_provider_url(
-                TEST_LITELLM_URL,
+                TEST_OLLAMA_URL,
-                TEST_LITELLM_MODEL,
+                TEST_OLLAMA_MODEL,
                 "anthropic",
                 "claude-3-opus",
             );
@@ -710,8 +710,8 @@ mod tests {
         #[test]
         fn resolve_huggingface_returns_model_url() {
             let (url, model) = resolve_provider_url(
-                TEST_LITELLM_URL,
+                TEST_OLLAMA_URL,
-                TEST_LITELLM_MODEL,
+                TEST_OLLAMA_MODEL,
                 "huggingface",
                 "meta-llama/Llama-2-7b",
             );
@@ -723,19 +723,19 @@ mod tests {
         }
 
         #[test]
-        fn resolve_unknown_defaults_to_litellm() {
+        fn resolve_unknown_defaults_to_ollama() {
             let (url, model) =
-                resolve_provider_url(TEST_LITELLM_URL, TEST_LITELLM_MODEL, "litellm", "qwen3-32b");
+                resolve_provider_url(TEST_OLLAMA_URL, TEST_OLLAMA_MODEL, "ollama", "mistral:7b");
-            assert_eq!(url, TEST_LITELLM_URL);
+            assert_eq!(url, TEST_OLLAMA_URL);
-            assert_eq!(model, "qwen3-32b");
+            assert_eq!(model, "mistral:7b");
         }
 
         #[test]
         fn resolve_empty_model_falls_back_to_server_default() {
             let (url, model) =
-                resolve_provider_url(TEST_LITELLM_URL, TEST_LITELLM_MODEL, "litellm", "");
+                resolve_provider_url(TEST_OLLAMA_URL, TEST_OLLAMA_MODEL, "ollama", "");
-            assert_eq!(url, TEST_LITELLM_URL);
+            assert_eq!(url, TEST_OLLAMA_URL);
-            assert_eq!(model, TEST_LITELLM_MODEL);
+            assert_eq!(model, TEST_OLLAMA_MODEL);
         }
     }
 }

src/infrastructure/config.rs

@@ -141,15 +141,13 @@ impl SmtpConfig {
 // ServiceUrls
 // ---------------------------------------------------------------------------
 
-/// URLs and credentials for external services (LiteLLM, SearXNG, S3, etc.).
+/// URLs and credentials for external services (Ollama, SearXNG, S3, etc.).
 #[derive(Debug)]
 pub struct ServiceUrls {
-    /// LiteLLM proxy base URL.
+    /// Ollama LLM instance base URL.
-    pub litellm_url: String,
+    pub ollama_url: String,
-    /// Default LiteLLM model to use.
+    /// Default Ollama model to use.
-    pub litellm_model: String,
+    pub ollama_model: String,
-    /// LiteLLM API key for authenticated requests.
-    pub litellm_api_key: String,
     /// SearXNG meta-search engine base URL.
     pub searxng_url: String,
     /// LangChain service URL.
@@ -168,8 +166,6 @@ pub struct ServiceUrls {
     pub s3_access_key: String,
     /// S3 secret key (wrapped for debug safety).
     pub s3_secret_key: SecretString,
-    /// Compliance scanner URL (external tool opened in a new tab).
-    pub compliance_scanner_url: String,
 }
 
 impl ServiceUrls {
@@ -182,10 +178,9 @@ impl ServiceUrls {
     /// Currently infallible but returns `Result` for consistency.
     pub fn from_env() -> Result<Self, Error> {
         Ok(Self {
-            litellm_url: std::env::var("LITELLM_URL")
+            ollama_url: std::env::var("OLLAMA_URL")
-                .unwrap_or_else(|_| "http://localhost:4000".into()),
+                .unwrap_or_else(|_| "http://localhost:11434".into()),
-            litellm_model: std::env::var("LITELLM_MODEL").unwrap_or_else(|_| "qwen3-32b".into()),
+            ollama_model: std::env::var("OLLAMA_MODEL").unwrap_or_else(|_| "llama3.1:8b".into()),
-            litellm_api_key: optional_env("LITELLM_API_KEY"),
             searxng_url: std::env::var("SEARXNG_URL")
                 .unwrap_or_else(|_| "http://localhost:8888".into()),
             langchain_url: optional_env("LANGCHAIN_URL"),
@@ -196,7 +191,6 @@ impl ServiceUrls {
             s3_url: optional_env("S3_URL"),
             s3_access_key: optional_env("S3_ACCESS_KEY"),
             s3_secret_key: SecretString::from(optional_env("S3_SECRET_KEY")),
-            compliance_scanner_url: optional_env("COMPLIANCE_SCANNER_URL"),
         })
     }
 }
@@ -237,7 +231,7 @@ impl StripeConfig {
 
 /// Comma-separated list of enabled LLM provider identifiers.
 ///
-/// For example: `LLM_PROVIDERS=litellm,openai,anthropic`
+/// For example: `LLM_PROVIDERS=ollama,openai,anthropic`
 #[derive(Debug)]
 pub struct LlmProvidersConfig {
     /// Parsed provider names.
@@ -337,36 +331,36 @@ mod tests {
     #[test]
     #[serial]
     fn llm_providers_single() {
-        std::env::set_var("LLM_PROVIDERS", "litellm");
+        std::env::set_var("LLM_PROVIDERS", "ollama");
         let cfg = LlmProvidersConfig::from_env().unwrap();
-        assert_eq!(cfg.providers, vec!["litellm"]);
+        assert_eq!(cfg.providers, vec!["ollama"]);
         std::env::remove_var("LLM_PROVIDERS");
     }
 
     #[test]
     #[serial]
     fn llm_providers_multiple() {
-        std::env::set_var("LLM_PROVIDERS", "litellm,openai,anthropic");
+        std::env::set_var("LLM_PROVIDERS", "ollama,openai,anthropic");
         let cfg = LlmProvidersConfig::from_env().unwrap();
-        assert_eq!(cfg.providers, vec!["litellm", "openai", "anthropic"]);
+        assert_eq!(cfg.providers, vec!["ollama", "openai", "anthropic"]);
         std::env::remove_var("LLM_PROVIDERS");
     }
 
     #[test]
     #[serial]
     fn llm_providers_trims_whitespace() {
-        std::env::set_var("LLM_PROVIDERS", " litellm , openai ");
+        std::env::set_var("LLM_PROVIDERS", " ollama , openai ");
         let cfg = LlmProvidersConfig::from_env().unwrap();
-        assert_eq!(cfg.providers, vec!["litellm", "openai"]);
+        assert_eq!(cfg.providers, vec!["ollama", "openai"]);
         std::env::remove_var("LLM_PROVIDERS");
     }
 
     #[test]
     #[serial]
     fn llm_providers_filters_empty_entries() {
-        std::env::set_var("LLM_PROVIDERS", "litellm,,openai,");
+        std::env::set_var("LLM_PROVIDERS", "ollama,,openai,");
         let cfg = LlmProvidersConfig::from_env().unwrap();
-        assert_eq!(cfg.providers, vec!["litellm", "openai"]);
+        assert_eq!(cfg.providers, vec!["ollama", "openai"]);
         std::env::remove_var("LLM_PROVIDERS");
     }
 
@@ -376,18 +370,18 @@ mod tests {
 
     #[test]
     #[serial]
-    fn service_urls_default_litellm_url() {
+    fn service_urls_default_ollama_url() {
-        std::env::remove_var("LITELLM_URL");
+        std::env::remove_var("OLLAMA_URL");
         let svc = ServiceUrls::from_env().unwrap();
-        assert_eq!(svc.litellm_url, "http://localhost:4000");
+        assert_eq!(svc.ollama_url, "http://localhost:11434");
     }
 
     #[test]
     #[serial]
-    fn service_urls_default_litellm_model() {
+    fn service_urls_default_ollama_model() {
-        std::env::remove_var("LITELLM_MODEL");
+        std::env::remove_var("OLLAMA_MODEL");
         let svc = ServiceUrls::from_env().unwrap();
-        assert_eq!(svc.litellm_model, "qwen3-32b");
+        assert_eq!(svc.ollama_model, "llama3.1:8b");
     }
 
     #[test]
@@ -400,11 +394,11 @@ mod tests {
 
     #[test]
     #[serial]
-    fn service_urls_custom_litellm_url() {
+    fn service_urls_custom_ollama_url() {
-        std::env::set_var("LITELLM_URL", "http://litellm-host:4000");
+        std::env::set_var("OLLAMA_URL", "http://gpu-host:11434");
         let svc = ServiceUrls::from_env().unwrap();
-        assert_eq!(svc.litellm_url, "http://litellm-host:4000");
+        assert_eq!(svc.ollama_url, "http://gpu-host:11434");
-        std::env::remove_var("LITELLM_URL");
+        std::env::remove_var("OLLAMA_URL");
     }
 
     #[test]

src/infrastructure/litellm.rs

@@ -1,403 +0,0 @@
-#[cfg(feature = "server")]
-use std::collections::HashMap;
-
-use dioxus::prelude::*;
-use serde::{Deserialize, Serialize};
-
-use crate::models::LitellmUsageStats;
-#[cfg(feature = "server")]
-use crate::models::ModelUsage;
-
-/// Status of a LiteLLM proxy instance, including connectivity and available models.
-///
-/// # Fields
-///
-/// * `online` - Whether the LiteLLM API responded successfully
-/// * `models` - List of model IDs available through the proxy
-#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
-pub struct LitellmStatus {
-    pub online: bool,
-    pub models: Vec<String>,
-}
-
-/// Response from LiteLLM's `GET /v1/models` endpoint (OpenAI-compatible).
-#[cfg(feature = "server")]
-#[derive(Deserialize)]
-struct ModelsResponse {
-    data: Vec<ModelObject>,
-}
-
-/// A single model entry from the OpenAI-compatible models list.
-#[cfg(feature = "server")]
-#[derive(Deserialize)]
-struct ModelObject {
-    id: String,
-}
-
-/// Check the status of a LiteLLM proxy by querying its models endpoint.
-///
-/// Calls `GET <litellm_url>/v1/models` to list available models and determine
-/// whether the instance is reachable. Sends the API key as a Bearer token
-/// if configured.
-///
-/// # Arguments
-///
-/// * `litellm_url` - Base URL of the LiteLLM proxy (e.g. "http://localhost:4000")
-///
-/// # Returns
-///
-/// A `LitellmStatus` with `online: true` and model IDs if reachable,
-/// or `online: false` with an empty model list on failure
-///
-/// # Errors
-///
-/// Returns `ServerFnError` only on serialization issues; network failures
-/// are caught and returned as `online: false`
-#[post("/api/litellm-status")]
-pub async fn get_litellm_status(litellm_url: String) -> Result<LitellmStatus, ServerFnError> {
-    let state: crate::infrastructure::ServerState =
-        dioxus_fullstack::FullstackContext::extract().await?;
-
-    let base_url = if litellm_url.is_empty() {
-        state.services.litellm_url.clone()
-    } else {
-        litellm_url
-    };
-
-    let api_key = state.services.litellm_api_key.clone();
-    let url = format!("{}/v1/models", base_url.trim_end_matches('/'));
-
-    let client = reqwest::Client::builder()
-        .timeout(std::time::Duration::from_secs(5))
-        .build()
-        .map_err(|e| ServerFnError::new(format!("HTTP client error: {e}")))?;
-
-    let mut request = client.get(&url);
-    if !api_key.is_empty() {
-        request = request.header("Authorization", format!("Bearer {api_key}"));
-    }
-
-    let resp = match request.send().await {
-        Ok(r) if r.status().is_success() => r,
-        _ => {
-            return Ok(LitellmStatus {
-                online: false,
-                models: Vec::new(),
-            });
-        }
-    };
-
-    let body: ModelsResponse = match resp.json().await {
-        Ok(b) => b,
-        Err(_) => {
-            return Ok(LitellmStatus {
-                online: true,
-                models: Vec::new(),
-            });
-        }
-    };
-
-    let models = body.data.into_iter().map(|m| m.id).collect();
-
-    Ok(LitellmStatus {
-        online: true,
-        models,
-    })
-}
-
-/// Response from LiteLLM's `GET /global/activity` endpoint.
-///
-/// Returns aggregate token counts and API request totals for a date range.
-/// Available on the free tier (no Enterprise license needed).
-#[cfg(feature = "server")]
-#[derive(Debug, Deserialize)]
-struct ActivityResponse {
-    /// Total tokens across all models in the date range
-    #[serde(default)]
-    sum_total_tokens: u64,
-}
-
-/// Per-model entry from `GET /global/activity/model`.
-///
-/// Each entry contains a model name and its aggregated token total.
-#[cfg(feature = "server")]
-#[derive(Debug, Deserialize)]
-struct ActivityModelEntry {
-    /// Model identifier (may be empty for unattributed traffic)
-    #[serde(default)]
-    model: String,
-    /// Sum of tokens used by this model in the date range
-    #[serde(default)]
-    sum_total_tokens: u64,
-}
-
-/// Per-model spend entry from `GET /global/spend/models`.
-///
-/// Each entry maps a model name to its total spend in USD.
-#[cfg(feature = "server")]
-#[derive(Debug, Deserialize)]
-struct SpendModelEntry {
-    /// Model identifier
-    #[serde(default)]
-    model: String,
-    /// Total spend in USD
-    #[serde(default)]
-    total_spend: f64,
-}
-
-/// Merge per-model token counts and spend data into `ModelUsage` entries.
-///
-/// Joins `activity_models` (tokens) and `spend_models` (spend) by model
-/// name using a HashMap for O(n + m) merge. Entries with empty model
-/// names are skipped.
-///
-/// # Arguments
-///
-/// * `activity_models` - Per-model token data from `/global/activity/model`
-/// * `spend_models` - Per-model spend data from `/global/spend/models`
-///
-/// # Returns
-///
-/// Merged list sorted by total tokens descending
-#[cfg(feature = "server")]
-fn merge_model_data(
-    activity_models: Vec<ActivityModelEntry>,
-    spend_models: Vec<SpendModelEntry>,
-) -> Vec<ModelUsage> {
-    let mut model_map: HashMap<String, ModelUsage> = HashMap::new();
-
-    for entry in activity_models {
-        if entry.model.is_empty() {
-            continue;
-        }
-        model_map
-            .entry(entry.model.clone())
-            .or_insert_with(|| ModelUsage {
-                model: entry.model,
-                ..Default::default()
-            })
-            .total_tokens = entry.sum_total_tokens;
-    }
-
-    for entry in spend_models {
-        if entry.model.is_empty() {
-            continue;
-        }
-        model_map
-            .entry(entry.model.clone())
-            .or_insert_with(|| ModelUsage {
-                model: entry.model,
-                ..Default::default()
-            })
-            .spend = entry.total_spend;
-    }
-
-    let mut result: Vec<ModelUsage> = model_map.into_values().collect();
-    result.sort_by(|a, b| b.total_tokens.cmp(&a.total_tokens));
-    result
-}
-
-/// Fetch aggregated usage statistics from LiteLLM's free-tier APIs.
-///
-/// Combines three endpoints to build a complete usage picture:
-/// - `GET /global/activity` - total token counts
-/// - `GET /global/activity/model` - per-model token breakdown
-/// - `GET /global/spend/models` - per-model spend in USD
-///
-/// # Arguments
-///
-/// * `start_date` - Start of the reporting period in `YYYY-MM-DD` format
-/// * `end_date` - End of the reporting period in `YYYY-MM-DD` format
-///
-/// # Returns
-///
-/// Aggregated usage stats; returns default (zeroed) stats on network
-/// failure or permission errors
-///
-/// # Errors
-///
-/// Returns `ServerFnError` only on HTTP client construction failure
-#[post("/api/litellm-usage")]
-pub async fn get_litellm_usage(
-    start_date: String,
-    end_date: String,
-) -> Result<LitellmUsageStats, ServerFnError> {
-    let state: crate::infrastructure::ServerState =
-        dioxus_fullstack::FullstackContext::extract().await?;
-
-    let base_url = &state.services.litellm_url;
-    let api_key = &state.services.litellm_api_key;
-
-    if base_url.is_empty() {
-        return Ok(LitellmUsageStats::default());
-    }
-
-    let base = base_url.trim_end_matches('/');
-    let date_params = format!("start_date={start_date}&end_date={end_date}");
-
-    let client = reqwest::Client::builder()
-        .timeout(std::time::Duration::from_secs(10))
-        .build()
-        .map_err(|e| ServerFnError::new(format!("HTTP client error: {e}")))?;
-
-    // Helper closure to build an authenticated GET request
-    let auth_get = |url: String| {
-        let mut req = client.get(url);
-        if !api_key.is_empty() {
-            req = req.header("Authorization", format!("Bearer {api_key}"));
-        }
-        req
-    };
-
-    // Fire all three requests concurrently to minimise latency
-    let (activity_res, model_activity_res, model_spend_res) = tokio::join!(
-        auth_get(format!("{base}/global/activity?{date_params}")).send(),
-        auth_get(format!("{base}/global/activity/model?{date_params}")).send(),
-        auth_get(format!("{base}/global/spend/models?{date_params}")).send(),
-    );
-
-    // Parse total token count from /global/activity
-    let total_tokens = match activity_res {
-        Ok(r) if r.status().is_success() => r
-            .json::<ActivityResponse>()
-            .await
-            .map(|a| a.sum_total_tokens)
-            .unwrap_or(0),
-        _ => 0,
-    };
-
-    // Parse per-model token breakdown from /global/activity/model
-    let activity_models: Vec<ActivityModelEntry> = match model_activity_res {
-        Ok(r) if r.status().is_success() => r.json().await.unwrap_or_default(),
-        _ => Vec::new(),
-    };
-
-    // Parse per-model spend from /global/spend/models
-    let spend_models: Vec<SpendModelEntry> = match model_spend_res {
-        Ok(r) if r.status().is_success() => r.json().await.unwrap_or_default(),
-        _ => Vec::new(),
-    };
-
-    let total_spend: f64 = spend_models.iter().map(|m| m.total_spend).sum();
-    let model_breakdown = merge_model_data(activity_models, spend_models);
-
-    Ok(LitellmUsageStats {
-        total_spend,
-        // Free-tier endpoints don't provide prompt/completion split;
-        // total_tokens comes from /global/activity.
-        total_prompt_tokens: 0,
-        total_completion_tokens: 0,
-        total_tokens,
-        model_breakdown,
-    })
-}
-
-#[cfg(all(test, feature = "server"))]
-mod tests {
-    use super::*;
-
-    #[test]
-    fn merge_empty_inputs() {
-        let result = merge_model_data(Vec::new(), Vec::new());
-        assert!(result.is_empty());
-    }
-
-    #[test]
-    fn merge_activity_only() {
-        let activity = vec![ActivityModelEntry {
-            model: "gpt-4".into(),
-            sum_total_tokens: 1500,
-        }];
-        let result = merge_model_data(activity, Vec::new());
-        assert_eq!(result.len(), 1);
-        assert_eq!(result[0].model, "gpt-4");
-        assert_eq!(result[0].total_tokens, 1500);
-        assert_eq!(result[0].spend, 0.0);
-    }
-
-    #[test]
-    fn merge_spend_only() {
-        let spend = vec![SpendModelEntry {
-            model: "gpt-4".into(),
-            total_spend: 2.5,
-        }];
-        let result = merge_model_data(Vec::new(), spend);
-        assert_eq!(result.len(), 1);
-        assert_eq!(result[0].model, "gpt-4");
-        assert_eq!(result[0].spend, 2.5);
-        assert_eq!(result[0].total_tokens, 0);
-    }
-
-    #[test]
-    fn merge_joins_by_model_name() {
-        let activity = vec![
-            ActivityModelEntry {
-                model: "gpt-4".into(),
-                sum_total_tokens: 5000,
-            },
-            ActivityModelEntry {
-                model: "claude-3".into(),
-                sum_total_tokens: 3000,
-            },
-        ];
-        let spend = vec![
-            SpendModelEntry {
-                model: "gpt-4".into(),
-                total_spend: 1.0,
-            },
-            SpendModelEntry {
-                model: "claude-3".into(),
-                total_spend: 0.5,
-            },
-        ];
-        let result = merge_model_data(activity, spend);
-        assert_eq!(result.len(), 2);
-        // Sorted by tokens descending: gpt-4 (5000) before claude-3 (3000)
-        assert_eq!(result[0].model, "gpt-4");
-        assert_eq!(result[0].total_tokens, 5000);
-        assert_eq!(result[0].spend, 1.0);
-        assert_eq!(result[1].model, "claude-3");
-        assert_eq!(result[1].total_tokens, 3000);
-        assert_eq!(result[1].spend, 0.5);
-    }
-
-    #[test]
-    fn merge_skips_empty_model_names() {
-        let activity = vec![
-            ActivityModelEntry {
-                model: "".into(),
-                sum_total_tokens: 100,
-            },
-            ActivityModelEntry {
-                model: "gpt-4".into(),
-                sum_total_tokens: 500,
-            },
-        ];
-        let spend = vec![SpendModelEntry {
-            model: "".into(),
-            total_spend: 0.01,
-        }];
-        let result = merge_model_data(activity, spend);
-        assert_eq!(result.len(), 1);
-        assert_eq!(result[0].model, "gpt-4");
-    }
-
-    #[test]
-    fn merge_unmatched_models_appear_in_both_directions() {
-        let activity = vec![ActivityModelEntry {
-            model: "tokens-only".into(),
-            sum_total_tokens: 1000,
-        }];
-        let spend = vec![SpendModelEntry {
-            model: "spend-only".into(),
-            total_spend: 0.5,
-        }];
-        let result = merge_model_data(activity, spend);
-        assert_eq!(result.len(), 2);
-        // tokens-only has 1000 tokens, spend-only has 0 tokens
-        assert_eq!(result[0].model, "tokens-only");
-        assert_eq!(result[0].total_tokens, 1000);
-        assert_eq!(result[1].model, "spend-only");
-        assert_eq!(result[1].spend, 0.5);
-    }
-}

src/infrastructure/llm.rs

@@ -4,23 +4,23 @@ use dioxus::prelude::*;
 mod inner {
     use serde::{Deserialize, Serialize};
 
-    /// A single message in the OpenAI-compatible chat format used by LiteLLM.
+    /// A single message in the OpenAI-compatible chat format used by Ollama.
     #[derive(Serialize)]
     pub(super) struct ChatMessage {
         pub role: String,
         pub content: String,
     }
 
-    /// Request body for the OpenAI-compatible chat completions endpoint.
+    /// Request body for Ollama's OpenAI-compatible chat completions endpoint.
     #[derive(Serialize)]
-    pub(super) struct ChatCompletionRequest {
+    pub(super) struct OllamaChatRequest {
         pub model: String,
         pub messages: Vec<ChatMessage>,
         /// Disable streaming so we get a single JSON response.
         pub stream: bool,
     }
 
-    /// A single choice in the chat completions response.
+    /// A single choice in the Ollama chat completions response.
     #[derive(Deserialize)]
     pub(super) struct ChatChoice {
         pub message: ChatResponseMessage,
@@ -32,9 +32,9 @@ mod inner {
         pub content: String,
     }
 
-    /// Top-level response from the `/v1/chat/completions` endpoint.
+    /// Top-level response from Ollama's `/v1/chat/completions` endpoint.
     #[derive(Deserialize)]
-    pub(super) struct ChatCompletionResponse {
+    pub(super) struct OllamaChatResponse {
         pub choices: Vec<ChatChoice>,
     }
 
@@ -157,7 +157,7 @@ mod inner {
     }
 }
 
-/// Summarize an article using a LiteLLM proxy.
+/// Summarize an article using a local Ollama instance.
 ///
 /// First attempts to fetch the full article text from the provided URL.
 /// If that fails (paywall, timeout, etc.), falls back to the search snippet.
@@ -167,8 +167,8 @@ mod inner {
 ///
 /// * `snippet` - The search result snippet (fallback content)
 /// * `article_url` - The original article URL to fetch full text from
-/// * `litellm_url` - Base URL of the LiteLLM proxy (e.g. "http://localhost:4000")
+/// * `ollama_url` - Base URL of the Ollama instance (e.g. "http://localhost:11434")
-/// * `model` - The model ID to use (e.g. "qwen3-32b")
+/// * `model` - The Ollama model ID to use (e.g. "llama3.1:8b")
 ///
 /// # Returns
 ///
@@ -176,38 +176,36 @@ mod inner {
 ///
 /// # Errors
 ///
-/// Returns `ServerFnError` if the LiteLLM request fails or response parsing fails
+/// Returns `ServerFnError` if the Ollama request fails or response parsing fails
 #[post("/api/summarize")]
 pub async fn summarize_article(
     snippet: String,
     article_url: String,
-    litellm_url: String,
+    ollama_url: String,
     model: String,
 ) -> Result<String, ServerFnError> {
-    use inner::{fetch_article_text, ChatCompletionRequest, ChatCompletionResponse, ChatMessage};
+    use inner::{fetch_article_text, ChatMessage, OllamaChatRequest, OllamaChatResponse};
 
     let state: crate::infrastructure::ServerState =
         dioxus_fullstack::FullstackContext::extract().await?;
 
     // Use caller-provided values or fall back to ServerState config
-    let base_url = if litellm_url.is_empty() {
+    let base_url = if ollama_url.is_empty() {
-        state.services.litellm_url.clone()
+        state.services.ollama_url.clone()
     } else {
-        litellm_url
+        ollama_url
     };
 
     let model = if model.is_empty() {
-        state.services.litellm_model.clone()
+        state.services.ollama_model.clone()
     } else {
         model
     };
 
-    let api_key = state.services.litellm_api_key.clone();
-
     // Try to fetch the full article; fall back to the search snippet
     let article_text = fetch_article_text(&article_url).await.unwrap_or(snippet);
 
-    let request_body = ChatCompletionRequest {
+    let request_body = OllamaChatRequest {
         model,
         stream: false,
         messages: vec![ChatMessage {
@@ -225,48 +223,42 @@ pub async fn summarize_article(
 
     let url = format!("{}/v1/chat/completions", base_url.trim_end_matches('/'));
     let client = reqwest::Client::new();
-    let mut request = client
+    let resp = client
         .post(&url)
         .header("content-type", "application/json")
-        .json(&request_body);
+        .json(&request_body)
-
-    if !api_key.is_empty() {
-        request = request.header("Authorization", format!("Bearer {api_key}"));
-    }
-
-    let resp = request
         .send()
         .await
-        .map_err(|e| ServerFnError::new(format!("LiteLLM request failed: {e}")))?;
+        .map_err(|e| ServerFnError::new(format!("Ollama request failed: {e}")))?;
 
     if !resp.status().is_success() {
         let status = resp.status();
         let body = resp.text().await.unwrap_or_default();
         return Err(ServerFnError::new(format!(
-            "LiteLLM returned {status}: {body}"
+            "Ollama returned {status}: {body}"
         )));
     }
 
-    let body: ChatCompletionResponse = resp
+    let body: OllamaChatResponse = resp
         .json()
         .await
-        .map_err(|e| ServerFnError::new(format!("Failed to parse LiteLLM response: {e}")))?;
+        .map_err(|e| ServerFnError::new(format!("Failed to parse Ollama response: {e}")))?;
 
     body.choices
         .first()
         .map(|choice| choice.message.content.clone())
-        .ok_or_else(|| ServerFnError::new("Empty response from LiteLLM"))
+        .ok_or_else(|| ServerFnError::new("Empty response from Ollama"))
 }
 
 /// A lightweight chat message for the follow-up conversation.
-/// Uses simple String role ("system"/"user"/"assistant") for OpenAI compatibility.
+/// Uses simple String role ("system"/"user"/"assistant") for Ollama compatibility.
 #[derive(Debug, Clone, PartialEq, serde::Serialize, serde::Deserialize)]
 pub struct FollowUpMessage {
     pub role: String,
     pub content: String,
 }
 
-/// Send a follow-up question about an article using a LiteLLM proxy.
+/// Send a follow-up question about an article using a local Ollama instance.
 ///
 /// Accepts the full conversation history (system context + prior turns) and
 /// returns the assistant's next response. The system message should contain
@@ -275,8 +267,8 @@ pub struct FollowUpMessage {
 /// # Arguments
 ///
 /// * `messages` - The conversation history including system context
-/// * `litellm_url` - Base URL of the LiteLLM proxy
+/// * `ollama_url` - Base URL of the Ollama instance
-/// * `model` - The model ID to use
+/// * `model` - The Ollama model ID to use
 ///
 /// # Returns
 ///
@@ -284,32 +276,30 @@ pub struct FollowUpMessage {
 ///
 /// # Errors
 ///
-/// Returns `ServerFnError` if the LiteLLM request fails or response parsing fails
+/// Returns `ServerFnError` if the Ollama request fails or response parsing fails
 #[post("/api/chat")]
 pub async fn chat_followup(
     messages: Vec<FollowUpMessage>,
-    litellm_url: String,
+    ollama_url: String,
     model: String,
 ) -> Result<String, ServerFnError> {
-    use inner::{ChatCompletionRequest, ChatCompletionResponse, ChatMessage};
+    use inner::{ChatMessage, OllamaChatRequest, OllamaChatResponse};
 
     let state: crate::infrastructure::ServerState =
         dioxus_fullstack::FullstackContext::extract().await?;
 
-    let base_url = if litellm_url.is_empty() {
+    let base_url = if ollama_url.is_empty() {
-        state.services.litellm_url.clone()
+        state.services.ollama_url.clone()
     } else {
-        litellm_url
+        ollama_url
     };
 
     let model = if model.is_empty() {
-        state.services.litellm_model.clone()
+        state.services.ollama_model.clone()
     } else {
         model
     };
 
-    let api_key = state.services.litellm_api_key.clone();
-
     // Convert FollowUpMessage to inner ChatMessage for the request
     let chat_messages: Vec<ChatMessage> = messages
         .into_iter()
@@ -319,7 +309,7 @@ pub async fn chat_followup(
         })
         .collect();
 
-    let request_body = ChatCompletionRequest {
+    let request_body = OllamaChatRequest {
         model,
         stream: false,
         messages: chat_messages,
@@ -327,37 +317,31 @@ pub async fn chat_followup(
 
     let url = format!("{}/v1/chat/completions", base_url.trim_end_matches('/'));
     let client = reqwest::Client::new();
-    let mut request = client
+    let resp = client
         .post(&url)
         .header("content-type", "application/json")
-        .json(&request_body);
+        .json(&request_body)
-
-    if !api_key.is_empty() {
-        request = request.header("Authorization", format!("Bearer {api_key}"));
-    }
-
-    let resp = request
         .send()
         .await
-        .map_err(|e| ServerFnError::new(format!("LiteLLM request failed: {e}")))?;
+        .map_err(|e| ServerFnError::new(format!("Ollama request failed: {e}")))?;
 
     if !resp.status().is_success() {
         let status = resp.status();
         let body = resp.text().await.unwrap_or_default();
         return Err(ServerFnError::new(format!(
-            "LiteLLM returned {status}: {body}"
+            "Ollama returned {status}: {body}"
         )));
     }
 
-    let body: ChatCompletionResponse = resp
+    let body: OllamaChatResponse = resp
         .json()
         .await
-        .map_err(|e| ServerFnError::new(format!("Failed to parse LiteLLM response: {e}")))?;
+        .map_err(|e| ServerFnError::new(format!("Failed to parse Ollama response: {e}")))?;
 
     body.choices
         .first()
         .map(|choice| choice.message.content.clone())
-        .ok_or_else(|| ServerFnError::new("Empty response from LiteLLM"))
+        .ok_or_else(|| ServerFnError::new("Empty response from Ollama"))
 }
 
 #[cfg(test)]

src/infrastructure/mod.rs

@@ -3,8 +3,8 @@
 pub mod auth_check;
 pub mod chat;
 pub mod langgraph;
-pub mod litellm;
 pub mod llm;
+pub mod ollama;
 pub mod searxng;
 
 // Server-only modules (Axum handlers, state, configs, DB, etc.)

src/infrastructure/ollama.rs

@@ -0,0 +1,92 @@
+use dioxus::prelude::*;
+use serde::{Deserialize, Serialize};
+
+/// Status of a local Ollama instance, including connectivity and loaded models.
+///
+/// # Fields
+///
+/// * `online` - Whether the Ollama API responded successfully
+/// * `models` - List of model names currently available on the instance
+#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
+pub struct OllamaStatus {
+    pub online: bool,
+    pub models: Vec<String>,
+}
+
+/// Response from Ollama's `GET /api/tags` endpoint.
+#[cfg(feature = "server")]
+#[derive(Deserialize)]
+struct OllamaTagsResponse {
+    models: Vec<OllamaModel>,
+}
+
+/// A single model entry from Ollama's tags API.
+#[cfg(feature = "server")]
+#[derive(Deserialize)]
+struct OllamaModel {
+    name: String,
+}
+
+/// Check the status of a local Ollama instance by querying its tags endpoint.
+///
+/// Calls `GET <ollama_url>/api/tags` to list available models and determine
+/// whether the instance is reachable.
+///
+/// # Arguments
+///
+/// * `ollama_url` - Base URL of the Ollama instance (e.g. "http://localhost:11434")
+///
+/// # Returns
+///
+/// An `OllamaStatus` with `online: true` and model names if reachable,
+/// or `online: false` with an empty model list on failure
+///
+/// # Errors
+///
+/// Returns `ServerFnError` only on serialization issues; network failures
+/// are caught and returned as `online: false`
+#[post("/api/ollama-status")]
+pub async fn get_ollama_status(ollama_url: String) -> Result<OllamaStatus, ServerFnError> {
+    let state: crate::infrastructure::ServerState =
+        dioxus_fullstack::FullstackContext::extract().await?;
+
+    let base_url = if ollama_url.is_empty() {
+        state.services.ollama_url.clone()
+    } else {
+        ollama_url
+    };
+
+    let url = format!("{}/api/tags", base_url.trim_end_matches('/'));
+
+    let client = reqwest::Client::builder()
+        .timeout(std::time::Duration::from_secs(5))
+        .build()
+        .map_err(|e| ServerFnError::new(format!("HTTP client error: {e}")))?;
+
+    let resp = match client.get(&url).send().await {
+        Ok(r) if r.status().is_success() => r,
+        _ => {
+            return Ok(OllamaStatus {
+                online: false,
+                models: Vec::new(),
+            });
+        }
+    };
+
+    let body: OllamaTagsResponse = match resp.json().await {
+        Ok(b) => b,
+        Err(_) => {
+            return Ok(OllamaStatus {
+                online: true,
+                models: Vec::new(),
+            });
+        }
+    };
+
+    let models = body.models.into_iter().map(|m| m.name).collect();
+
+    Ok(OllamaStatus {
+        online: true,
+        models,
+    })
+}

src/infrastructure/provider_client.rs

@@ -1,6 +1,6 @@
 //! Unified LLM provider dispatch.
 //!
-//! Routes chat completion requests to LiteLLM, OpenAI, Anthropic, or
+//! Routes chat completion requests to Ollama, OpenAI, Anthropic, or
 //! HuggingFace based on the session's provider setting. All providers
 //! except Anthropic use the OpenAI-compatible chat completions format.
 
@@ -20,11 +20,11 @@ pub struct ProviderMessage {
 ///
 /// # Arguments
 ///
-/// * `state` - Server state (for default LiteLLM URL/model)
+/// * `state` - Server state (for default Ollama URL/model)
-/// * `provider` - Provider name (`"litellm"`, `"openai"`, `"anthropic"`, `"huggingface"`)
+/// * `provider` - Provider name (`"ollama"`, `"openai"`, `"anthropic"`, `"huggingface"`)
 /// * `model` - Model ID
 /// * `messages` - Conversation history
-/// * `api_key` - API key (required for non-LiteLLM providers; LiteLLM uses server config)
+/// * `api_key` - API key (required for non-Ollama providers)
 /// * `stream` - Whether to request streaming
 ///
 /// # Returns
@@ -123,11 +123,11 @@ pub async fn send_chat_request(
                 .send()
                 .await
         }
-        // Default: LiteLLM proxy (OpenAI-compatible endpoint)
+        // Default: Ollama (OpenAI-compatible endpoint)
         _ => {
-            let base_url = &state.services.litellm_url;
+            let base_url = &state.services.ollama_url;
             let resolved_model = if model.is_empty() {
-                &state.services.litellm_model
+                &state.services.ollama_model
             } else {
                 model
             };
@@ -137,15 +137,12 @@ pub async fn send_chat_request(
                 "messages": messages,
                 "stream": stream,
             });
-            let litellm_key = &state.services.litellm_api_key;
+            client
-            let mut request = client
                 .post(&url)
                 .header("content-type", "application/json")
-                .json(&body);
+                .json(&body)
-            if !litellm_key.is_empty() {
+                .send()
-                request = request.header("Authorization", format!("Bearer {litellm_key}"));
+                .await
-            }
-            request.send().await
         }
     }
 }

src/infrastructure/server_state.rs

@@ -45,7 +45,7 @@ pub struct ServerStateInner {
     pub keycloak: &'static KeycloakConfig,
     /// Outbound email settings.
     pub smtp: &'static SmtpConfig,
-    /// URLs for LiteLLM, SearXNG, LangChain, S3, etc.
+    /// URLs for Ollama, SearXNG, LangChain, S3, etc.
     pub services: &'static ServiceUrls,
     /// Stripe billing keys.
     pub stripe: &'static StripeConfig,

src/models/chat.rs

@@ -60,8 +60,8 @@ pub struct Attachment {
 /// * `user_sub` - Keycloak subject ID (session owner)
 /// * `title` - Display title (auto-generated or user-renamed)
 /// * `namespace` - Grouping for sidebar sections
-/// * `provider` - LLM provider used (e.g. "litellm", "openai")
+/// * `provider` - LLM provider used (e.g. "ollama", "openai")
-/// * `model` - Model ID used (e.g. "qwen3-32b")
+/// * `model` - Model ID used (e.g. "llama3.1:8b")
 /// * `created_at` - ISO 8601 creation timestamp
 /// * `updated_at` - ISO 8601 last-activity timestamp
 /// * `article_url` - Source article URL (for News namespace sessions)
@@ -171,8 +171,8 @@ mod tests {
             user_sub: "user-1".into(),
             title: "Test Chat".into(),
             namespace: ChatNamespace::General,
-            provider: "litellm".into(),
+            provider: "ollama".into(),
-            model: "qwen3-32b".into(),
+            model: "llama3.1:8b".into(),
             created_at: "2025-01-01T00:00:00Z".into(),
             updated_at: "2025-01-01T01:00:00Z".into(),
             article_url: None,
@@ -189,7 +189,7 @@ mod tests {
             "_id": "mongo-id",
             "user_sub": "u1",
             "title": "t",
-            "provider": "litellm",
+            "provider": "ollama",
             "model": "m",
             "created_at": "2025-01-01",
             "updated_at": "2025-01-01"
@@ -205,7 +205,7 @@ mod tests {
             user_sub: "u1".into(),
             title: "t".into(),
             namespace: ChatNamespace::default(),
-            provider: "litellm".into(),
+            provider: "ollama".into(),
             model: "m".into(),
             created_at: "2025-01-01".into(),
             updated_at: "2025-01-01".into(),
@@ -223,7 +223,7 @@ mod tests {
             user_sub: "u1".into(),
             title: "t".into(),
             namespace: ChatNamespace::default(),
-            provider: "litellm".into(),
+            provider: "ollama".into(),
             model: "m".into(),
             created_at: "2025-01-01".into(),
             updated_at: "2025-01-01".into(),

src/models/organization.rs

@@ -83,42 +83,6 @@ pub struct BillingUsage {
     pub billing_cycle_end: String,
 }
 
-/// Aggregated token usage statistics from LiteLLM's spend tracking API.
-///
-/// # Fields
-///
-/// * `total_spend` - Total cost in USD across all models
-/// * `total_prompt_tokens` - Sum of prompt (input) tokens
-/// * `total_completion_tokens` - Sum of completion (output) tokens
-/// * `total_tokens` - Sum of all tokens (prompt + completion)
-/// * `model_breakdown` - Per-model usage breakdown
-#[derive(Debug, Clone, Default, PartialEq, Serialize, Deserialize)]
-pub struct LitellmUsageStats {
-    pub total_spend: f64,
-    pub total_prompt_tokens: u64,
-    pub total_completion_tokens: u64,
-    pub total_tokens: u64,
-    pub model_breakdown: Vec<ModelUsage>,
-}
-
-/// Token and spend usage for a single LLM model.
-///
-/// # Fields
-///
-/// * `model` - Model identifier (e.g. "gpt-4", "claude-3-opus")
-/// * `spend` - Cost in USD for this model
-/// * `prompt_tokens` - Prompt (input) tokens consumed
-/// * `completion_tokens` - Completion (output) tokens generated
-/// * `total_tokens` - Total tokens (prompt + completion)
-#[derive(Debug, Clone, Default, PartialEq, Serialize, Deserialize)]
-pub struct ModelUsage {
-    pub model: String,
-    pub spend: f64,
-    pub prompt_tokens: u64,
-    pub completion_tokens: u64,
-    pub total_tokens: u64,
-}
-
 /// Organisation-level settings stored in MongoDB.
 ///
 /// These complement Keycloak's Organizations feature with
@@ -270,82 +234,4 @@ mod tests {
         assert_eq!(record.seats_used, 0);
         assert_eq!(record.tokens_used, 0);
     }
-
-    #[test]
-    fn litellm_usage_stats_default() {
-        let stats = LitellmUsageStats::default();
-        assert_eq!(stats.total_spend, 0.0);
-        assert_eq!(stats.total_prompt_tokens, 0);
-        assert_eq!(stats.total_completion_tokens, 0);
-        assert_eq!(stats.total_tokens, 0);
-        assert!(stats.model_breakdown.is_empty());
-    }
-
-    #[test]
-    fn litellm_usage_stats_serde_round_trip() {
-        let stats = LitellmUsageStats {
-            total_spend: 12.34,
-            total_prompt_tokens: 50_000,
-            total_completion_tokens: 25_000,
-            total_tokens: 75_000,
-            model_breakdown: vec![
-                ModelUsage {
-                    model: "gpt-4".into(),
-                    spend: 10.0,
-                    prompt_tokens: 40_000,
-                    completion_tokens: 20_000,
-                    total_tokens: 60_000,
-                },
-                ModelUsage {
-                    model: "claude-3-opus".into(),
-                    spend: 2.34,
-                    prompt_tokens: 10_000,
-                    completion_tokens: 5_000,
-                    total_tokens: 15_000,
-                },
-            ],
-        };
-        let json = serde_json::to_string(&stats).expect("serialize LitellmUsageStats");
-        let back: LitellmUsageStats =
-            serde_json::from_str(&json).expect("deserialize LitellmUsageStats");
-        assert_eq!(stats, back);
-    }
-
-    #[test]
-    fn model_usage_default() {
-        let usage = ModelUsage::default();
-        assert_eq!(usage.model, "");
-        assert_eq!(usage.spend, 0.0);
-        assert_eq!(usage.prompt_tokens, 0);
-        assert_eq!(usage.completion_tokens, 0);
-        assert_eq!(usage.total_tokens, 0);
-    }
-
-    #[test]
-    fn model_usage_serde_round_trip() {
-        let usage = ModelUsage {
-            model: "gpt-4-turbo".into(),
-            spend: 5.67,
-            prompt_tokens: 30_000,
-            completion_tokens: 15_000,
-            total_tokens: 45_000,
-        };
-        let json = serde_json::to_string(&usage).expect("serialize ModelUsage");
-        let back: ModelUsage = serde_json::from_str(&json).expect("deserialize ModelUsage");
-        assert_eq!(usage, back);
-    }
-
-    #[test]
-    fn litellm_usage_stats_empty_breakdown_round_trip() {
-        let stats = LitellmUsageStats {
-            total_spend: 0.0,
-            total_prompt_tokens: 0,
-            total_completion_tokens: 0,
-            total_tokens: 0,
-            model_breakdown: Vec::new(),
-        };
-        let json = serde_json::to_string(&stats).expect("serialize empty stats");
-        let back: LitellmUsageStats = serde_json::from_str(&json).expect("deserialize empty stats");
-        assert_eq!(stats, back);
-    }
 }

src/models/provider.rs

@@ -3,8 +3,8 @@ use serde::{Deserialize, Serialize};
 /// Supported LLM provider backends.
 #[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
 pub enum LlmProvider {
-    /// LiteLLM proxy for unified model access
+    /// Self-hosted models via Ollama
-    LiteLlm,
+    Ollama,
     /// Hugging Face Inference API
     HuggingFace,
     /// OpenAI-compatible endpoints
@@ -17,7 +17,7 @@ impl LlmProvider {
     /// Returns the display name for a provider.
     pub fn label(&self) -> &'static str {
         match self {
-            Self::LiteLlm => "LiteLLM",
+            Self::Ollama => "Ollama",
             Self::HuggingFace => "Hugging Face",
             Self::OpenAi => "OpenAI",
             Self::Anthropic => "Anthropic",
@@ -29,7 +29,7 @@ impl LlmProvider {
 ///
 /// # Fields
 ///
-/// * `id` - Unique model identifier (e.g. "qwen3-32b")
+/// * `id` - Unique model identifier (e.g. "llama3.1:8b")
 /// * `name` - Human-readable display name
 /// * `provider` - Which provider hosts this model
 /// * `context_window` - Maximum context length in tokens
@@ -79,8 +79,8 @@ mod tests {
     use pretty_assertions::assert_eq;
 
     #[test]
-    fn llm_provider_label_litellm() {
+    fn llm_provider_label_ollama() {
-        assert_eq!(LlmProvider::LiteLlm.label(), "LiteLLM");
+        assert_eq!(LlmProvider::Ollama.label(), "Ollama");
     }
 
     #[test]
@@ -101,7 +101,7 @@ mod tests {
     #[test]
     fn llm_provider_serde_round_trip() {
         for variant in [
-            LlmProvider::LiteLlm,
+            LlmProvider::Ollama,
             LlmProvider::HuggingFace,
             LlmProvider::OpenAi,
             LlmProvider::Anthropic,
@@ -117,10 +117,10 @@ mod tests {
     #[test]
     fn model_entry_serde_round_trip() {
         let entry = ModelEntry {
-            id: "qwen3-32b".into(),
+            id: "llama3.1:8b".into(),
-            name: "Qwen3 32B".into(),
+            name: "Llama 3.1 8B".into(),
-            provider: LlmProvider::LiteLlm,
+            provider: LlmProvider::Ollama,
-            context_window: 32,
+            context_window: 8192,
         };
         let json = serde_json::to_string(&entry).expect("serialize ModelEntry");
         let back: ModelEntry = serde_json::from_str(&json).expect("deserialize ModelEntry");

src/models/user.rs

@@ -30,19 +30,17 @@ pub struct AuthInfo {
     pub langflow_url: String,
     /// Langfuse observability URL (empty if not configured)
     pub langfuse_url: String,
-    /// Compliance scanner URL (empty if not configured)
-    pub compliance_scanner_url: String,
 }
 
 /// Per-user LLM provider configuration stored in MongoDB.
 ///
 /// Controls which provider and model the user's chat sessions default
-/// to, and stores API keys for non-LiteLLM providers.
+/// to, and stores API keys for non-Ollama providers.
 #[derive(Debug, Clone, Default, PartialEq, Serialize, Deserialize)]
 pub struct UserProviderConfig {
-    /// Default provider name (e.g. "litellm", "openai")
+    /// Default provider name (e.g. "ollama", "openai")
     pub default_provider: String,
-    /// Default model ID (e.g. "qwen3-32b", "gpt-4o")
+    /// Default model ID (e.g. "llama3.1:8b", "gpt-4o")
     pub default_model: String,
     /// OpenAI API key (empty if not configured)
     #[serde(default, skip_serializing_if = "Option::is_none")]
@@ -53,8 +51,8 @@ pub struct UserProviderConfig {
     /// HuggingFace API key
     #[serde(default, skip_serializing_if = "Option::is_none")]
     pub huggingface_api_key: Option<String>,
-    /// Custom LiteLLM URL override (empty = use server default)
+    /// Custom Ollama URL override (empty = use server default)
-    pub litellm_url_override: String,
+    pub ollama_url_override: String,
 }
 
 /// Per-user preferences stored in MongoDB.
@@ -68,10 +66,10 @@ pub struct UserPreferences {
     pub org_id: String,
     /// User-selected news/search topics
     pub custom_topics: Vec<String>,
-    /// Per-user LiteLLM URL override (empty = use server default)
+    /// Per-user Ollama URL override (empty = use server default)
-    pub litellm_url_override: String,
+    pub ollama_url_override: String,
-    /// Per-user LiteLLM model override (empty = use server default)
+    /// Per-user Ollama model override (empty = use server default)
-    pub litellm_model_override: String,
+    pub ollama_model_override: String,
     /// Recently searched queries for quick access
     pub recent_searches: Vec<String>,
     /// LLM provider configuration
@@ -102,7 +100,6 @@ mod tests {
         assert_eq!(info.langgraph_url, "");
         assert_eq!(info.langflow_url, "");
         assert_eq!(info.langfuse_url, "");
-        assert_eq!(info.compliance_scanner_url, "");
     }
 
     #[test]
@@ -117,7 +114,6 @@ mod tests {
             langgraph_url: "http://localhost:8123".into(),
             langflow_url: "http://localhost:7860".into(),
             langfuse_url: "http://localhost:3000".into(),
-            compliance_scanner_url: "http://localhost:9090".into(),
         };
         let json = serde_json::to_string(&info).expect("serialize AuthInfo");
         let back: AuthInfo = serde_json::from_str(&json).expect("deserialize AuthInfo");
@@ -136,12 +132,12 @@ mod tests {
     #[test]
     fn user_provider_config_optional_keys_skip_none() {
         let cfg = UserProviderConfig {
-            default_provider: "litellm".into(),
+            default_provider: "ollama".into(),
-            default_model: "qwen3-32b".into(),
+            default_model: "llama3.1:8b".into(),
             openai_api_key: None,
             anthropic_api_key: None,
             huggingface_api_key: None,
-            litellm_url_override: String::new(),
+            ollama_url_override: String::new(),
         };
         let json = serde_json::to_string(&cfg).expect("serialize UserProviderConfig");
         assert!(!json.contains("openai_api_key"));
@@ -157,7 +153,7 @@ mod tests {
             openai_api_key: Some("sk-test".into()),
             anthropic_api_key: Some("ak-test".into()),
             huggingface_api_key: None,
-            litellm_url_override: "http://custom:4000".into(),
+            ollama_url_override: "http://custom:11434".into(),
         };
         let json = serde_json::to_string(&cfg).expect("serialize");
         let back: UserProviderConfig = serde_json::from_str(&json).expect("deserialize");

src/pages/dashboard.rs

@@ -25,8 +25,8 @@ const DEFAULT_TOPICS: &[&str] = &[
 ///
 /// State is persisted across sessions using localStorage:
 /// - `certifai_topics`: custom user-defined search topics
-/// - `certifai_litellm_url`: LiteLLM proxy URL for summarization
+/// - `certifai_ollama_url`: Ollama instance URL for summarization
-/// - `certifai_litellm_model`: LiteLLM model ID for summarization
+/// - `certifai_ollama_model`: Ollama model ID for summarization
 #[component]
 pub fn DashboardPage() -> Element {
     let locale = use_context::<Signal<Locale>>();
@@ -34,11 +34,11 @@ pub fn DashboardPage() -> Element {
 
     // Persistent state stored in localStorage
     let mut custom_topics = use_persistent("certifai_topics".to_string(), Vec::<String>::new);
-    // Default to empty so the server functions use LITELLM_URL / LITELLM_MODEL
+    // Default to empty so the server functions use OLLAMA_URL / OLLAMA_MODEL
     // from .env. Only stores a non-empty value when the user explicitly saves
     // an override via the Settings panel.
-    let mut litellm_url = use_persistent("certifai_litellm_url".to_string(), String::new);
+    let mut ollama_url = use_persistent("certifai_ollama_url".to_string(), String::new);
-    let mut litellm_model = use_persistent("certifai_litellm_model".to_string(), String::new);
+    let mut ollama_model = use_persistent("certifai_ollama_model".to_string(), String::new);
 
     // Reactive signals for UI state
     let mut active_topic = use_signal(|| "AI".to_string());
@@ -235,8 +235,8 @@ pub fn DashboardPage() -> Element {
                     onclick: move |_| {
                         let currently_shown = *show_settings.read();
                         if !currently_shown {
-                            settings_url.set(litellm_url.read().clone());
+                            settings_url.set(ollama_url.read().clone());
-                            settings_model.set(litellm_model.read().clone());
+                            settings_model.set(ollama_model.read().clone());
                         }
                         show_settings.set(!currently_shown);
                     },
@@ -247,16 +247,16 @@ pub fn DashboardPage() -> Element {
             // Settings panel (collapsible)
             if *show_settings.read() {
                 div { class: "settings-panel",
-                    h4 { class: "settings-panel-title", "{t(l, \"dashboard.litellm_settings\")}" }
+                    h4 { class: "settings-panel-title", "{t(l, \"dashboard.ollama_settings\")}" }
                     p { class: "settings-hint",
                         "{t(l, \"dashboard.settings_hint\")}"
                     }
                     div { class: "settings-field",
-                        label { "{t(l, \"dashboard.litellm_url\")}" }
+                        label { "{t(l, \"dashboard.ollama_url\")}" }
                         input {
                             class: "settings-input",
                             r#type: "text",
-                            placeholder: "{t(l, \"dashboard.litellm_url_placeholder\")}",
+                            placeholder: "{t(l, \"dashboard.ollama_url_placeholder\")}",
                             value: "{settings_url}",
                             oninput: move |e| settings_url.set(e.value()),
                         }
@@ -274,8 +274,8 @@ pub fn DashboardPage() -> Element {
                     button {
                         class: "btn btn-primary",
                         onclick: move |_| {
-                            *litellm_url.write() = settings_url.read().trim().to_string();
+                            *ollama_url.write() = settings_url.read().trim().to_string();
-                            *litellm_model.write() = settings_model.read().trim().to_string();
+                            *ollama_model.write() = settings_model.read().trim().to_string();
                             show_settings.set(false);
                         },
                         "{t(l, \"common.save\")}"
@@ -320,14 +320,14 @@ pub fn DashboardPage() -> Element {
                                             news_session_id.set(None);
 
 
-                                            let ll_url = litellm_url.read().clone();
+                                            let oll_url = ollama_url.read().clone();
-                                            let mdl = litellm_model.read().clone();
+                                            let mdl = ollama_model.read().clone();
                                             spawn(async move {
                                                 is_summarizing.set(true);
                                                 match crate::infrastructure::llm::summarize_article(
                                                         snippet.clone(),
                                                         article_url,
-                                                        ll_url,
+                                                        oll_url,
                                                         mdl,
                                                     )
                                                     .await
@@ -373,8 +373,8 @@ pub fn DashboardPage() -> Element {
                             chat_messages: chat_messages.read().clone(),
                             is_chatting: *is_chatting.read(),
                             on_chat_send: move |question: String| {
-                                let ll_url = litellm_url.read().clone();
+                                let oll_url = ollama_url.read().clone();
-                                let mdl = litellm_model.read().clone();
+                                let mdl = ollama_model.read().clone();
                                 let ctx = article_context.read().clone();
                                 // Capture article info for News session creation
                                 let card_title = selected_card
@@ -394,7 +394,7 @@ pub fn DashboardPage() -> Element {
                                     content: question.clone(),
                                 });
 
-                                // Build full message history for LiteLLM
+                                // Build full message history for Ollama
                                 let system_msg = format!(
                                     "You are a helpful assistant. The user is reading \
                                      a news article. Use the following context to answer \
@@ -422,7 +422,7 @@ pub fn DashboardPage() -> Element {
                                         match create_chat_session(
                                             card_title,
                                             "News".to_string(),
-                                            "litellm".to_string(),
+                                            "ollama".to_string(),
                                             mdl.clone(),
                                             card_url,
                                         )
@@ -458,7 +458,7 @@ pub fn DashboardPage() -> Element {
                                     }
 
                                     match crate::infrastructure::llm::chat_followup(
-                                        msgs, ll_url, mdl,
+                                        msgs, oll_url, mdl,
                                     )
                                     .await
                                     {
@@ -495,7 +495,7 @@ pub fn DashboardPage() -> Element {
                 // Right: sidebar (when no card selected)
                 if !has_selection {
                     DashboardSidebar {
-                        litellm_url: litellm_url.read().clone(),
+                        ollama_url: ollama_url.read().clone(),
                         trending: trending_topics.clone(),
                         recent_searches: recent_searches.read().clone(),
                         on_topic_click: move |topic: String| {

src/pages/landing.rs

@@ -1,5 +1,8 @@
 use dioxus::prelude::*;
-use dioxus_free_icons::icons::bs_icons::{BsArrowRight, BsShieldCheck};
+use dioxus_free_icons::icons::bs_icons::{
+    BsArrowRight, BsGlobe2, BsKey, BsRobot, BsServer, BsShieldCheck,
+};
+use dioxus_free_icons::icons::fa_solid_icons::FaCubes;
 use dioxus_free_icons::Icon;
 
 use crate::i18n::{t, Locale};
@@ -9,15 +12,14 @@ use crate::Route;
 ///
 /// Displays a marketing-oriented page with hero section, feature grid,
 /// how-it-works steps, and call-to-action banners. This page is accessible
-/// without authentication. Uses the Glass Aurora design with glassmorphic
+/// without authentication.
-/// effects, aurora gradients, and centered hero layout.
 #[component]
 pub fn LandingPage() -> Element {
     rsx! {
         div { class: "landing",
             LandingNav {}
             HeroSection {}
-            TrustBar {}
+            SocialProof {}
             FeaturesGrid {}
             HowItWorks {}
             CtaBanner {}
@@ -27,7 +29,6 @@ pub fn LandingPage() -> Element {
 }
 
 /// Sticky top navigation bar with logo, nav links, and CTA buttons.
-/// Uses Glass Aurora glassmorphic nav with backdrop-filter blur.
 #[component]
 fn LandingNav() -> Element {
     let locale = use_context::<Signal<Locale>>();
@@ -68,8 +69,7 @@ fn LandingNav() -> Element {
     }
 }
 
-/// Hero section with pill badges, headline, subtitle, CTA buttons, and
+/// Hero section with headline, subtitle, and CTA buttons.
-/// a glass-preview stat panel. Centered layout per Glass Aurora design.
 #[component]
 fn HeroSection() -> Element {
     let locale = use_context::<Signal<Locale>>();
@@ -78,11 +78,7 @@ fn HeroSection() -> Element {
     rsx! {
         section { class: "hero-section",
             div { class: "hero-content",
-                div { class: "hero-pills",
+                div { class: "hero-badge badge badge-outline", {t(l, "landing.badge")} }
-                    span { class: "pill accent", {t(l, "landing.pill_gdpr")} }
-                    span { class: "pill", {t(l, "landing.pill_self_hosted")} }
-                    span { class: "pill", {t(l, "landing.pill_eu")} }
-                }
                 h1 { class: "hero-title",
                     {t(l, "landing.hero_title_1")}
                     br {}
@@ -104,26 +100,176 @@ fn HeroSection() -> Element {
                         {t(l, "landing.learn_more")}
                     }
                 }
-                div { class: "preview-container",
+            }
-                    div { class: "glass-preview",
+            div { class: "hero-graphic",
-                        div { class: "preview-stat",
+                // Abstract shield/network SVG motif
-                            div { class: "preview-stat-value", "5" }
+                svg {
-                            div { class: "preview-stat-label",
+                    view_box: "0 0 400 400",
-                                {t(l, "landing.preview_models")}
+                    fill: "none",
+                    width: "100%",
+                    height: "100%",
+                    // Gradient definitions
+                    defs {
+                        linearGradient {
+                            id: "grad1",
+                            x1: "0%",
+                            y1: "0%",
+                            x2: "100%",
+                            y2: "100%",
+                            stop { offset: "0%", stop_color: "#91a4d2" }
+                            stop { offset: "100%", stop_color: "#6d85c6" }
+                        }
+                        linearGradient {
+                            id: "grad2",
+                            x1: "0%",
+                            y1: "100%",
+                            x2: "100%",
+                            y2: "0%",
+                            stop { offset: "0%", stop_color: "#f97066" }
+                            stop { offset: "100%", stop_color: "#f9a066" }
+                        }
+                        radialGradient {
+                            id: "glow",
+                            cx: "50%",
+                            cy: "50%",
+                            r: "50%",
+                            stop {
+                                offset: "0%",
+                                stop_color: "rgba(145,164,210,0.3)",
+                            }
+                            stop {
+                                offset: "100%",
+                                stop_color: "rgba(145,164,210,0)",
                             }
                         }
-                        div { class: "preview-stat",
-                            div { class: "preview-stat-value", "847K" }
-                            div { class: "preview-stat-label",
-                                {t(l, "landing.preview_tokens")}
                     }
+                    // Background glow
+                    circle {
+                        cx: "200",
+                        cy: "200",
+                        r: "180",
+                        fill: "url(#glow)",
                     }
-                        div { class: "preview-stat",
+                    // Shield outline
-                            div { class: "preview-stat-value", "$47.82" }
+                    path {
-                            div { class: "preview-stat-label",
+                        d: "M200 40 L340 110 L340 230 C340 300 270 360 200 380 \
-                                {t(l, "landing.preview_spend")}
+                            C130 360 60 300 60 230 L60 110 Z",
+                        stroke: "url(#grad1)",
+                        stroke_width: "2",
+                        fill: "none",
+                        opacity: "0.6",
                     }
+                    // Inner shield
+                    path {
+                        d: "M200 80 L310 135 L310 225 C310 280 255 330 200 345 \
+                            C145 330 90 280 90 225 L90 135 Z",
+                        stroke: "url(#grad1)",
+                        stroke_width: "1.5",
+                        fill: "rgba(145,164,210,0.05)",
+                        opacity: "0.8",
                     }
+                    // Network nodes
+                    circle {
+                        cx: "200",
+                        cy: "180",
+                        r: "8",
+                        fill: "url(#grad1)",
+                    }
+                    circle {
+                        cx: "150",
+                        cy: "230",
+                        r: "6",
+                        fill: "url(#grad2)",
+                    }
+                    circle {
+                        cx: "250",
+                        cy: "230",
+                        r: "6",
+                        fill: "url(#grad2)",
+                    }
+                    circle {
+                        cx: "200",
+                        cy: "280",
+                        r: "6",
+                        fill: "url(#grad1)",
+                    }
+                    circle {
+                        cx: "130",
+                        cy: "170",
+                        r: "4",
+                        fill: "#91a4d2",
+                        opacity: "0.6",
+                    }
+                    circle {
+                        cx: "270",
+                        cy: "170",
+                        r: "4",
+                        fill: "#91a4d2",
+                        opacity: "0.6",
+                    }
+                    // Network connections
+                    line {
+                        x1: "200",
+                        y1: "180",
+                        x2: "150",
+                        y2: "230",
+                        stroke: "#91a4d2",
+                        stroke_width: "1",
+                        opacity: "0.4",
+                    }
+                    line {
+                        x1: "200",
+                        y1: "180",
+                        x2: "250",
+                        y2: "230",
+                        stroke: "#91a4d2",
+                        stroke_width: "1",
+                        opacity: "0.4",
+                    }
+                    line {
+                        x1: "150",
+                        y1: "230",
+                        x2: "200",
+                        y2: "280",
+                        stroke: "#91a4d2",
+                        stroke_width: "1",
+                        opacity: "0.4",
+                    }
+                    line {
+                        x1: "250",
+                        y1: "230",
+                        x2: "200",
+                        y2: "280",
+                        stroke: "#91a4d2",
+                        stroke_width: "1",
+                        opacity: "0.4",
+                    }
+                    line {
+                        x1: "200",
+                        y1: "180",
+                        x2: "130",
+                        y2: "170",
+                        stroke: "#91a4d2",
+                        stroke_width: "1",
+                        opacity: "0.3",
+                    }
+                    line {
+                        x1: "200",
+                        y1: "180",
+                        x2: "270",
+                        y2: "170",
+                        stroke: "#91a4d2",
+                        stroke_width: "1",
+                        opacity: "0.3",
+                    }
+                    // Checkmark inside shield center
+                    path {
+                        d: "M180 200 L195 215 L225 185",
+                        stroke: "url(#grad1)",
+                        stroke_width: "3",
+                        stroke_linecap: "round",
+                        stroke_linejoin: "round",
+                        fill: "none",
                     }
                 }
             }
@@ -131,36 +277,44 @@ fn HeroSection() -> Element {
     }
 }
 
-/// Trust bar with aurora dot indicators and stat labels.
+/// Social proof / trust indicator strip.
-/// Replaces the previous text-based social proof section.
 #[component]
-fn TrustBar() -> Element {
+fn SocialProof() -> Element {
     let locale = use_context::<Signal<Locale>>();
     let l = *locale.read();
 
     rsx! {
-        section { class: "trust-bar",
+        section { class: "social-proof",
-            div { class: "trust-item",
+            p { class: "social-proof-text",
-                div { class: "trust-dot" }
+                {t(l, "landing.social_proof")}
-                span { "100% " {t(l, "landing.on_premise")} }
+                span { class: "social-proof-highlight", {t(l, "landing.data_sovereignty")} }
             }
-            div { class: "trust-item",
+            div { class: "social-proof-stats",
-                div { class: "trust-dot" }
+                div { class: "proof-stat",
-                span { "GDPR " {t(l, "landing.compliant")} }
+                    span { class: "proof-stat-value", "100%" }
+                    span { class: "proof-stat-label", {t(l, "landing.on_premise")} }
                 }
-            div { class: "trust-item",
+                div { class: "proof-divider" }
-                div { class: "trust-dot" }
+                div { class: "proof-stat",
-                span { "EU " {t(l, "landing.data_residency")} }
+                    span { class: "proof-stat-value", "GDPR" }
+                    span { class: "proof-stat-label", {t(l, "landing.compliant")} }
+                }
+                div { class: "proof-divider" }
+                div { class: "proof-stat",
+                    span { class: "proof-stat-value", "EU" }
+                    span { class: "proof-stat-label", {t(l, "landing.data_residency")} }
+                }
+                div { class: "proof-divider" }
+                div { class: "proof-stat",
+                    span { class: "proof-stat-value", "Zero" }
+                    span { class: "proof-stat-label", {t(l, "landing.third_party")} }
                 }
-            div { class: "trust-item",
-                div { class: "trust-dot" }
-                span { "Zero " {t(l, "landing.third_party")} }
             }
         }
     }
 }
 
-/// Feature cards grid section. Uses gradient icon bars instead of SVG icons.
+/// Feature cards grid section.
 #[component]
 fn FeaturesGrid() -> Element {
     let locale = use_context::<Signal<Locale>>();
@@ -174,26 +328,44 @@ fn FeaturesGrid() -> Element {
             }
             div { class: "features-grid",
                 FeatureCard {
+                    icon: rsx! {
+                        Icon { icon: BsServer, width: 28, height: 28 }
+                    },
                     title: t(l, "landing.feat_infra_title"),
                     description: t(l, "landing.feat_infra_desc"),
                 }
                 FeatureCard {
+                    icon: rsx! {
+                        Icon { icon: BsShieldCheck, width: 28, height: 28 }
+                    },
                     title: t(l, "landing.feat_gdpr_title"),
                     description: t(l, "landing.feat_gdpr_desc"),
                 }
                 FeatureCard {
+                    icon: rsx! {
+                        Icon { icon: FaCubes, width: 28, height: 28 }
+                    },
                     title: t(l, "landing.feat_llm_title"),
                     description: t(l, "landing.feat_llm_desc"),
                 }
                 FeatureCard {
+                    icon: rsx! {
+                        Icon { icon: BsRobot, width: 28, height: 28 }
+                    },
                     title: t(l, "landing.feat_agent_title"),
                     description: t(l, "landing.feat_agent_desc"),
                 }
                 FeatureCard {
+                    icon: rsx! {
+                        Icon { icon: BsGlobe2, width: 28, height: 28 }
+                    },
                     title: t(l, "landing.feat_mcp_title"),
                     description: t(l, "landing.feat_mcp_desc"),
                 }
                 FeatureCard {
+                    icon: rsx! {
+                        Icon { icon: BsKey, width: 28, height: 28 }
+                    },
                     title: t(l, "landing.feat_api_title"),
                     description: t(l, "landing.feat_api_desc"),
                 }
@@ -202,17 +374,18 @@ fn FeaturesGrid() -> Element {
     }
 }
 
-/// Individual feature card with a gradient icon bar accent.
+/// Individual feature card.
 ///
 /// # Arguments
 ///
+/// * `icon` - The icon element to display
 /// * `title` - Feature title (owned String from translation lookup)
 /// * `description` - Feature description text (owned String from translation lookup)
 #[component]
-fn FeatureCard(title: String, description: String) -> Element {
+fn FeatureCard(icon: Element, title: String, description: String) -> Element {
     rsx! {
         div { class: "card feature-card",
-            div { class: "feature-icon-bar" }
+            div { class: "feature-card-icon", {icon} }
             h3 { class: "feature-card-title", "{title}" }
             p { class: "feature-card-desc", "{description}" }
         }
@@ -268,15 +441,14 @@ fn StepCard(number: &'static str, title: String, description: String) -> Element
     }
 }
 
-/// Call-to-action banner wrapped in a glass box with aurora top border.
+/// Call-to-action banner before the footer.
 #[component]
 fn CtaBanner() -> Element {
     let locale = use_context::<Signal<Locale>>();
     let l = *locale.read();
 
     rsx! {
-        section { class: "cta-section",
+        section { class: "cta-banner",
-            div { class: "cta-box",
             h2 { class: "cta-title", {t(l, "landing.cta_title")} }
             p { class: "cta-subtitle",
                 {t(l, "landing.cta_subtitle")}
@@ -300,11 +472,9 @@ fn CtaBanner() -> Element {
             }
         }
     }
-    }
 }
 
 /// Landing page footer with links and copyright.
-/// Uses glass border-top styling per Glass Aurora design.
 #[component]
 fn LandingFooter() -> Element {
     let locale = use_context::<Signal<Locale>>();

src/pages/organization/dashboard.rs

@@ -2,14 +2,12 @@ use dioxus::prelude::*;
 
 use crate::components::{MemberRow, PageHeader};
 use crate::i18n::{t, tw, Locale};
-use crate::infrastructure::litellm::get_litellm_usage;
+use crate::models::{BillingUsage, MemberRole, OrgMember};
-use crate::models::{BillingUsage, LitellmUsageStats, MemberRole, OrgMember};
 
 /// Organization dashboard with billing stats, member table, and invite modal.
 ///
-/// Shows current billing usage (fetched from LiteLLM), a per-model
+/// Shows current billing usage, a table of organization members
-/// breakdown table, a table of organization members with role
+/// with role management, and a button to invite new members.
-/// management, and a button to invite new members.
 #[component]
 pub fn OrgDashboardPage() -> Element {
     let locale = use_context::<Signal<Locale>>();
@@ -22,20 +20,6 @@ pub fn OrgDashboardPage() -> Element {
 
     let members_list = members.read().clone();
 
-    // Compute date range: 1st of current month to today
-    let (start_date, end_date) = current_month_range();
-
-    // Fetch real usage stats from LiteLLM via server function.
-    // use_resource memoises and won't re-fire on parent re-renders.
-    let usage_resource = use_resource(move || {
-        let start = start_date.clone();
-        let end = end_date.clone();
-        async move { get_litellm_usage(start, end).await }
-    });
-
-    // Clone out of Signal to avoid holding the borrow across rsx!
-    let usage_snapshot = usage_resource.read().clone();
-
     // Format token counts for display
     let tokens_display = format_tokens(usage.tokens_used);
     let tokens_limit_display = format_tokens(usage.tokens_limit);
@@ -46,39 +30,26 @@ pub fn OrgDashboardPage() -> Element {
                 title: t(l, "org.title"),
                 subtitle: t(l, "org.subtitle"),
                 actions: rsx! {
-                    button {
+                    button { class: "btn-primary", onclick: move |_| show_invite.set(true), {t(l, "org.invite_member")} }
-                        class: "btn-primary",
-                        onclick: move |_| show_invite.set(true),
-                        {t(l, "org.invite_member")}
-                    }
                 },
             }
 
             // Stats bar
             div { class: "org-stats-bar",
                 div { class: "org-stat",
-                    span { class: "org-stat-value",
+                    span { class: "org-stat-value", "{usage.seats_used}/{usage.seats_total}" }
-                        "{usage.seats_used}/{usage.seats_total}"
-                    }
                     span { class: "org-stat-label", {t(l, "org.seats_used")} }
                 }
                 div { class: "org-stat",
                     span { class: "org-stat-value", "{tokens_display}" }
-                    span { class: "org-stat-label",
+                    span { class: "org-stat-label", {tw(l, "org.of_tokens", &[("limit", &tokens_limit_display)])} }
-                        {tw(l, "org.of_tokens", &[("limit", &tokens_limit_display)])}
-                    }
                 }
                 div { class: "org-stat",
-                    span { class: "org-stat-value",
+                    span { class: "org-stat-value", "{usage.billing_cycle_end}" }
-                        "{usage.billing_cycle_end}"
-                    }
                     span { class: "org-stat-label", {t(l, "org.cycle_ends")} }
                 }
             }
 
-            // LiteLLM usage stats section
-            {render_usage_section(l, &usage_snapshot)}
-
             // Members table
             div { class: "org-table-wrapper",
                 table { class: "org-table",
@@ -143,144 +114,6 @@ pub fn OrgDashboardPage() -> Element {
     }
 }
 
-/// Render the LiteLLM usage stats section: totals bar + per-model table.
-///
-/// Shows a loading state while the resource is pending, an error/empty
-/// message on failure, and the full breakdown on success.
-fn render_usage_section(
-    l: Locale,
-    snapshot: &Option<Result<LitellmUsageStats, ServerFnError>>,
-) -> Element {
-    match snapshot {
-        None => rsx! {
-            div { class: "org-usage-loading",
-                span { {t(l, "org.loading_usage")} }
-            }
-        },
-        Some(Err(_)) => rsx! {
-            div { class: "org-usage-unavailable",
-                span { {t(l, "org.usage_unavailable")} }
-            }
-        },
-        Some(Ok(stats)) if stats.total_tokens == 0 && stats.model_breakdown.is_empty() => {
-            rsx! {
-                div { class: "org-usage-unavailable",
-                    span { {t(l, "org.usage_unavailable")} }
-                }
-            }
-        }
-        Some(Ok(stats)) => {
-            let spend_display = format!("${:.2}", stats.total_spend);
-            let total_display = format_tokens(stats.total_tokens);
-            // Free-tier LiteLLM doesn't provide prompt/completion split
-            let has_token_split =
-                stats.total_prompt_tokens > 0 || stats.total_completion_tokens > 0;
-
-            rsx! {
-                // Usage totals bar
-                div { class: "org-stats-bar",
-                    div { class: "org-stat",
-                        span { class: "org-stat-value", "{spend_display}" }
-                        span { class: "org-stat-label",
-                            {t(l, "org.total_spend")}
-                        }
-                    }
-                    div { class: "org-stat",
-                        span { class: "org-stat-value",
-                            "{total_display}"
-                        }
-                        span { class: "org-stat-label",
-                            {t(l, "org.total_tokens")}
-                        }
-                    }
-                    // Only show prompt/completion split when available
-                    if has_token_split {
-                        div { class: "org-stat",
-                            span { class: "org-stat-value",
-                                {format_tokens(stats.total_prompt_tokens)}
-                            }
-                            span { class: "org-stat-label",
-                                {t(l, "org.prompt_tokens")}
-                            }
-                        }
-                        div { class: "org-stat",
-                            span { class: "org-stat-value",
-                                {format_tokens(stats.total_completion_tokens)}
-                            }
-                            span { class: "org-stat-label",
-                                {t(l, "org.completion_tokens")}
-                            }
-                        }
-                    }
-                }
-
-                // Per-model breakdown table
-                if !stats.model_breakdown.is_empty() {
-                    h3 { class: "org-section-title",
-                        {t(l, "org.model_usage")}
-                    }
-                    div { class: "org-table-wrapper",
-                        table { class: "org-table",
-                            thead {
-                                tr {
-                                    th { {t(l, "org.model")} }
-                                    th { {t(l, "org.tokens")} }
-                                    th { {t(l, "org.spend")} }
-                                }
-                            }
-                            tbody {
-                                for model in &stats.model_breakdown {
-                                    tr { key: "{model.model}",
-                                        td { "{model.model}" }
-                                        td {
-                                            {format_tokens(model.total_tokens)}
-                                        }
-                                        td {
-                                            {format!(
-                                                "${:.2}", model.spend
-                                            )}
-                                        }
-                                    }
-                                }
-                            }
-                        }
-                    }
-                }
-            }
-        }
-    }
-}
-
-/// Compute the date range for the current billing month.
-///
-/// Returns `(start_date, end_date)` as `YYYY-MM-DD` strings where
-/// start_date is the 1st of the current month and end_date is today.
-///
-/// On the web target this uses `js_sys::Date` to read the browser clock.
-/// On the server target (SSR) it falls back to `chrono::Utc::now()`.
-fn current_month_range() -> (String, String) {
-    #[cfg(feature = "web")]
-    {
-        // js_sys::Date accesses the browser's local clock in WASM.
-        let now = js_sys::Date::new_0();
-        let year = now.get_full_year();
-        // JS months are 0-indexed, so add 1 for calendar month
-        let month = now.get_month() + 1;
-        let day = now.get_date();
-        let start = format!("{year:04}-{month:02}-01");
-        let end = format!("{year:04}-{month:02}-{day:02}");
-        (start, end)
-    }
-    #[cfg(not(feature = "web"))]
-    {
-        use chrono::Datelike;
-        let today = chrono::Utc::now().date_naive();
-        let start = format!("{:04}-{:02}-01", today.year(), today.month());
-        let end = today.format("%Y-%m-%d").to_string();
-        (start, end)
-    }
-}
-
 /// Formats a token count into a human-readable string (e.g. "1.2M").
 fn format_tokens(count: u64) -> String {
     const M: u64 = 1_000_000;

src/pages/providers.rs

@@ -13,8 +13,8 @@ pub fn ProvidersPage() -> Element {
     let locale = use_context::<Signal<Locale>>();
     let l = *locale.read();
 
-    let mut selected_provider = use_signal(|| LlmProvider::LiteLlm);
+    let mut selected_provider = use_signal(|| LlmProvider::Ollama);
-    let mut selected_model = use_signal(|| "qwen3-32b".to_string());
+    let mut selected_model = use_signal(|| "llama3.1:8b".to_string());
     let mut selected_embedding = use_signal(|| "nomic-embed-text".to_string());
     let mut api_key = use_signal(String::new);
     let mut saved = use_signal(|| false);
@@ -59,12 +59,12 @@ pub fn ProvidersPage() -> Element {
                                     "Hugging Face" => LlmProvider::HuggingFace,
                                     "OpenAI" => LlmProvider::OpenAi,
                                     "Anthropic" => LlmProvider::Anthropic,
-                                    _ => LlmProvider::LiteLlm,
+                                    _ => LlmProvider::Ollama,
                                 };
                                 selected_provider.set(prov);
                                 saved.set(false);
                             },
-                            option { value: "LiteLLM", "LiteLLM" }
+                            option { value: "Ollama", "Ollama" }
                             option { value: "Hugging Face", "Hugging Face" }
                             option { value: "OpenAI", "OpenAI" }
                             option { value: "Anthropic", "Anthropic" }
@@ -156,28 +156,22 @@ pub fn ProvidersPage() -> Element {
 fn mock_models() -> Vec<ModelEntry> {
     vec![
         ModelEntry {
-            id: "qwen3-32b".into(),
+            id: "llama3.1:8b".into(),
-            name: "Qwen3 32B".into(),
+            name: "Llama 3.1 8B".into(),
-            provider: LlmProvider::LiteLlm,
+            provider: LlmProvider::Ollama,
-            context_window: 32,
-        },
-        ModelEntry {
-            id: "llama-3.3-70b".into(),
-            name: "Llama 3.3 70B".into(),
-            provider: LlmProvider::LiteLlm,
             context_window: 128,
         },
         ModelEntry {
-            id: "mistral-small-24b".into(),
+            id: "llama3.1:70b".into(),
-            name: "Mistral Small 24B".into(),
+            name: "Llama 3.1 70B".into(),
-            provider: LlmProvider::LiteLlm,
+            provider: LlmProvider::Ollama,
-            context_window: 32,
+            context_window: 128,
         },
         ModelEntry {
-            id: "deepseek-r1-70b".into(),
+            id: "mistral:7b".into(),
-            name: "DeepSeek R1 70B".into(),
+            name: "Mistral 7B".into(),
-            provider: LlmProvider::LiteLlm,
+            provider: LlmProvider::Ollama,
-            context_window: 64,
+            context_window: 32,
         },
         ModelEntry {
             id: "meta-llama/Llama-3.1-8B".into(),
@@ -206,7 +200,7 @@ fn mock_embeddings() -> Vec<EmbeddingEntry> {
         EmbeddingEntry {
             id: "nomic-embed-text".into(),
             name: "Nomic Embed Text".into(),
-            provider: LlmProvider::LiteLlm,
+            provider: LlmProvider::Ollama,
             dimensions: 768,
         },
         EmbeddingEntry {