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@@ -9,29 +9,35 @@ ENV WEBUI_AUTH=true
 ENV ENABLE_SIGNUP=false
 ENV DEFAULT_USER_ROLE=user
 
-# Optional providers and integrations
-ENV OPENAI_API_BASE_URL=https://api.openai.com/v1
-
 # Analytics opt-out
 ENV ANONYMIZED_TELEMETRY=false
 ENV SCARF_NO_ANALYTICS=true
 ENV DO_NOT_TRACK=true
 
+# Python skripte
 COPY setup_endpoints.sh /app/setup_endpoints.sh
 COPY backup_restore.sh /app/backup_restore.sh
+COPY install_functions.py /app/install_functions.py
 COPY context_detector.py /app/context_detector.py
-COPY smart_matcher.py /app/smart_matcher.py
 COPY token_compressor.py /app/token_compressor.py
-COPY install_functions.py /app/install_functions.py
-COPY preset_creator.html /app/backend/static/preset_creator.html
+COPY coding_priority_pipe.py /app/coding_priority_pipe.py
+COPY smart_matcher.py /app/smart_matcher.py
+COPY api_router.py /app/api_router.py
+COPY system_prompt.txt /app/system_prompt.txt
+
+# JSON funkcije
+COPY token_saver.json /app/token_saver.json
+COPY context_clip_filter.json /app/context_clip_filter.json
+COPY auto_disable_native_tools.json /app/auto_disable_native_tools.json
+COPY auto_memory.json /app/auto_memory.json
+COPY global_system_prompt_filter.json /app/global_system_prompt_filter.json
+COPY __easysearch_v0_4_3__high-performance_web_search_filter.json /app/__easysearch_v0_4_3__high-performance_web_search_filter.json
+COPY __mermaid_doctor_-_heals_broken_mermaid_diagrams_generated_by_small_or_hallucinating_models.json /app/__mermaid_doctor_-_heals_broken_mermaid_diagrams_generated_by_small_or_hallucinating_models.json
+COPY github_simple.json /app/github_simple.json
+COPY pdf_tools_-_rich_ui_for_in_context_basic_editing_.json /app/pdf_tools_-_rich_ui_for_in_context_basic_editing_.json
 
 RUN chmod +x /app/setup_endpoints.sh /app/backup_restore.sh
 
 EXPOSE 8080
 
-# POPRAVLJENI STARTUP REDOSLIJED:
-# 1. Restore se zavrsi PRIJE nego WebUI krene (semicolon = sekvencijalan)
-# 2. Backup loop pokrenuti u pozadini (&)
-# 3. setup_endpoints.sh ceka 10s i konfigurira endpointe u pozadini (&)
-# 4. start.sh ostaje glavni proces (foreground)
 CMD bash -lc "bash /app/backup_restore.sh restore; bash /app/backup_restore.sh loop & sleep 10 && bash /app/setup_endpoints.sh & bash start.sh"

install_functions.py

@@ -1,428 +1,84 @@
-"""
-Instalira sve funkcije (filters, tools, actions) i kreira Custom Model Preset.
-Poziva se automatski iz setup_endpoints.sh pri startu Space-a.
-
-Koristi:  python3 install_functions.py <base_url> <token>
-"""
-
 import json
 import urllib.request
 import urllib.error
 import sys
 import os
 
-BASE_URL = sys.argv[1] if len(sys.argv) > 1 else 'http://localhost:8080'
-TOKEN    = sys.argv[2] if len(sys.argv) > 2 else ''
-
-if not TOKEN:
-    print("❌ No token provided.")
-    sys.exit(1)
-
-HEADERS = {
-    'Content-Type': 'application/json',
-    'Authorization': f'Bearer {TOKEN}'
-}
-
-APP_DIR = os.path.dirname(os.path.abspath(__file__))
-
-# ─────────────────────────────────────────────
-# Helpers
-# ─────────────────────────────────────────────
-
-def api(method, path, data=None):
-    url = BASE_URL + path
-    body = json.dumps(data).encode() if data is not None else None
-    req = urllib.request.Request(url, data=body, headers=HEADERS, method=method)
-    try:
-        with urllib.request.urlopen(req) as r:
-            return r.status, json.loads(r.read().decode())
-    except urllib.error.HTTPError as e:
-        return e.code, e.read().decode()
-
-def install_function(func_id, name, func_type, content):
-    """Instaliraj ili ažuriraj funkciju."""
-    # Provjeri postoji li
-    status, _ = api('GET', f'/api/v1/functions/id/{func_id}')
-    
-    payload = {
-        'id': func_id,
-        'name': name,
-        'type': func_type,
-        'content': content,
-        'meta': {'description': name}
-    }
-    
-    if status == 200:
-        s, r = api('POST', f'/api/v1/functions/id/{func_id}/update', payload)
-        label = "ažuriran" if s == 200 else f"greška {s}"
-    else:
-        s, r = api('POST', '/api/v1/functions/create', payload)
-        label = "instaliran" if s == 200 else f"greška {s}"
-    
-    # Aktiviraj
-    api('POST', f'/api/v1/functions/id/{func_id}/toggle')
-    
-    icon = "✅" if s == 200 else "❌"
-    print(f"  {icon} [{func_type}] {name} — {label}")
-    return s == 200
-
-def load_json_function(filepath):
-    """Učitaj funkciju iz JSON export fajla."""
-    with open(filepath) as f:
-        d = json.load(f)
-    item = d[0] if isinstance(d, list) else d
-    # Detektuj tip iz sadržaja
-    content = item.get('content', '')
-    if 'class Filter' in content:
-        ftype = 'filter'
-    elif 'class Pipe' in content:
-        ftype = 'pipe'
-    elif 'class Tools' in content or 'class Action' in content:
-        ftype = 'action'
-    else:
-        ftype = item.get('meta', {}).get('type', 'filter')
-    return item['id'], item['name'], ftype, content
-
-# ─────────────────────────────────────────────
-# 1. Instaliraj sve JSON funkcije
-# ─────────────────────────────────────────────
-
-print("\n📦 Instaliram funkcije iz JSON fajlova...")
-
-JSON_FILES = [
-    'global_system_prompt_filter.json',
-    '__easysearch_v0_4_3__high-performance_web_search_filter.json',
-    'token_saver.json',
-    'context_clip_filter.json',
-    'auto_disable_native_tools.json',
-    'auto_memory.json',
-    '__mermaid_doctor_-_heals_broken_mermaid_diagrams_generated_by_small_or_hallucinating_models.json',
-    'github_simple.json',
-    'pdf_tools_-_rich_ui_for_in_context_basic_editing_.json',
-]
-
-installed_filter_ids = []
-for fname in JSON_FILES:
-    fpath = os.path.join(APP_DIR, fname)
-    if not os.path.exists(fpath):
-        print(f"  ⚠️  {fname} nije pronađen, preskačem")
-        continue
-    func_id, name, ftype, content = load_json_function(fpath)
-    ok = install_function(func_id, name, ftype, content)
-    if ok and ftype == 'filter':
-        installed_filter_ids.append(func_id)
-
-# ─────────────────────────────────────────────
-# 2. Instaliraj naše custom Python funkcije
-# ─────────────────────────────────────────────
-
-print("\n🛠️  Instaliram custom funkcije...")
-
-CUSTOM_FUNCTIONS = [
-    ('context_detector',    'Context Detector',              'filter', 'context_detector.py'),
-    ('token_compressor',    'Token Compressor',              'filter', 'token_compressor.py'),
-    ('coding_fallback',     '🔀 Smart Coding Router',        'pipe',   'coding_priority_pipe.py'),
-    ('smart_matcher',       'Smart Matcher',                 'tool',   'smart_matcher.py'),
-]
-
-for func_id, name, ftype, pyfile in CUSTOM_FUNCTIONS:
-    fpath = os.path.join(APP_DIR, pyfile)
-    if not os.path.exists(fpath):
-        print(f"  ⚠️  {pyfile} nije pronađen")
-        continue
-    content = open(fpath).read()
-    ok = install_function(func_id, name, ftype, content)
-    if ok and ftype == 'filter':
-        installed_filter_ids.append(func_id)
-
-# ─────────────────────────────────────────────
-# 3. Postavi Global System Prompt
-# ─────────────────────────────────────────────
-
-print("\n📝 Postavljam Global System Prompt...")
-
-SYSTEM_PROMPT_FILE = os.path.join(APP_DIR, 'system_prompt.txt')
-if os.path.exists(SYSTEM_PROMPT_FILE):
-    system_prompt = open(SYSTEM_PROMPT_FILE).read()
-    
-    # Update valve za global_system_prompt_filter
-    valve_payload = {
-        'system_message': system_prompt,
-        'timezone': 'Europe/Sarajevo',
-        'skip_tags': []
-    }
-    s, r = api('POST', '/api/v1/functions/id/global_system_prompt_filter/valves/update', valve_payload)
-    if s == 200:
-        print("  ✅ System prompt postavljen")
-    else:
-        print(f"  ⚠️  Greška pri postavljanju system prompta: {s}")
-else:
-    print("  ⚠️  system_prompt.txt nije pronađen")
-
-# ─────────────────────────────────────────────
-# 4. Kreiraj Custom Model Preset
-# ─────────────────────────────────────────────
-
-print("\n🤖 Kreiram Custom Model Preset...")
-
-# Sve filter ID-ove koji treba biti aktivni na modelu
-ALL_FILTER_IDS = list(dict.fromkeys([
-    'global_system_prompt_filter',
-    'easysearch',
-    'token_saver',
-    'context_clip_filter',
-    'auto_disable_native_tools',
-    'auto_memory',
-    'context_detector',
-    'token_compressor',
-    'mermaid_doctor',
-] + installed_filter_ids))
-
-model_payload = {
-    'id': 'nerdur_assistant',
-    'name': '🧠 Nerdur Assistant (Full)',
-    'base_model_id': 'coding_fallback.coding_fallback',
-    'meta': {
-        'description': 'Smart Coding Router sa svim filterima: web search, memory, token saver, context detector i više.',
-        'profile_image_url': '/static/favicon.png',
-        'tags': [{'name': 'custom'}, {'name': 'coding'}],
-        'capabilities': {
-            'vision': False,
-            'citations': True,
-            'usage': True,
-        }
-    },
-    'params': {
-        'system': open(SYSTEM_PROMPT_FILE).read() if os.path.exists(SYSTEM_PROMPT_FILE) else '',
-        'temperature': 0.2,
-        'max_tokens': 4096,
-    },
-    'filter_ids': ALL_FILTER_IDS,
-    'tool_ids': ['smart_matcher'],
-    'action_ids': ['pdf_tools_rich_ui_editor'],
-}
-
-# Provjeri postoji li model
-status, _ = api('GET', '/api/v1/models/model?id=nerdur_assistant')
-if status == 200:
-    s, r = api('POST', '/api/v1/models/model/update?id=nerdur_assistant', model_payload)
-    label = "ažuriran" if s == 200 else f"greška {s}: {str(r)[:100]}"
-else:
-    s, r = api('POST', '/api/v1/models/create', model_payload)
-    label = "kreiran" if s == 200 else f"greška {s}: {str(r)[:100]}"
-
-icon = "✅" if s == 200 else "❌"
-print(f"  {icon} Model '🧠 Nerdur Assistant (Full)' — {label}")
-
-print("\n✅ Instalacija završena!")
+# install_functions.py v3 — Podrška za Pipe funkcije i automatski ID
 
-# ─────────────────────────────────────────────
-# 5. Kreiraj Gemini 2.5 Flash Preset
-# ─────────────────────────────────────────────
+base_url = sys.argv[1] if len(sys.argv) > 1 else 'http://localhost:8080'
+token = sys.argv[2] if len(sys.argv) > 2 else ''
 
-print("\n⚡ Kreiram Gemini 2.5 Flash Preset...")
+if not token:
+    print("❌ Nema tokena za instalaciju.")
+    sys.exit(1)
 
-gemini_payload = {
-    'id': 'nerdur_gemini_flash',
-    'name': '⚡ Gemini 2.5 Flash (Coding)',
-    'base_model_id': 'models/gemini-2.5-flash',
-    'meta': {
-        'description': 'Gemini 2.5 Flash sa svim filterima — web search, memory, token saver i više.',
-        'profile_image_url': '/static/favicon.png',
-        'tags': [{'name': 'custom'}, {'name': 'coding'}, {'name': 'gemini'}],
-        'capabilities': {
-            'vision': True,
-            'citations': True,
-            'usage': True,
-        }
+# Funkcije i Filteri
+functions = [
+    {
+        "id": "context_detector",
+        "name": "Context Detector",
+        "type": "filter",
+        "content": open("/app/context_detector.py").read() if os.path.exists("/app/context_detector.py") else "",
+        "meta": {"description": "Automatski prepoznaje kontekst poruke."}
     },
-    'params': {
-        'system': open(SYSTEM_PROMPT_FILE).read() if os.path.exists(SYSTEM_PROMPT_FILE) else '',
-        'temperature': 0.2,
-        'max_tokens': 8192,
+    {
+        "id": "token_saver",
+        "name": "Token Saver",
+        "type": "filter",
+        "content": open("/app/token_compressor.py").read() if os.path.exists("/app/token_compressor.py") else "",
+        "meta": {"description": "Štedi tokene rezanjem historije."}
     },
-    'filter_ids': ALL_FILTER_IDS,
-    'tool_ids': ['smart_matcher'],
-    'action_ids': ['pdf_tools_rich_ui_editor'],
-}
-
-status, _ = api('GET', '/api/v1/models/model?id=nerdur_gemini_flash')
-if status == 200:
-    s, r = api('POST', '/api/v1/models/model/update?id=nerdur_gemini_flash', gemini_payload)
-    label = "ažuriran" if s == 200 else f"greška {s}: {str(r)[:100]}"
-else:
-    s, r = api('POST', '/api/v1/models/create', gemini_payload)
-    label = "kreiran" if s == 200 else f"greška {s}: {str(r)[:100]}"
-
-icon = "✅" if s == 200 else "❌"
-print(f"  {icon} Model '⚡ Gemini 2.5 Flash (Coding)' — {label}")
-
-print("\n✅ Svi modeli kreirani!")
-
-# ─────────────────────────────────────────────
-# 6. Groq preset
-# ─────────────────────────────────────────────
-
-print("\n🚀 Kreiram Groq preset...")
-
-groq_payload = {
-    'id': 'nerdur_groq_coding',
-    'name': '🚀 Groq Llama 3.3 70B (Coding)',
-    'base_model_id': 'llama-3.3-70b-versatile',
-    'meta': {
-        'description': 'Kimi K2 na Groq — izuzetno brz, odličan za kodiranje, besplatan.',
-        'profile_image_url': '/static/favicon.png',
-        'tags': [{'name': 'custom'}, {'name': 'coding'}, {'name': 'groq'}],
-        'capabilities': {'vision': False, 'citations': True, 'usage': True}
+    {
+        "id": "coding_router",
+        "name": "Smart Coding Router",
+        "type": "pipe",
+        "content": open("/app/coding_priority_pipe.py").read() if os.path.exists("/app/coding_priority_pipe.py") else "",
+        "meta": {"description": "Fallback: Gemini -> Groq -> Cerebras -> Sambanova."}
     },
-    'params': {
-        'system': open(SYSTEM_PROMPT_FILE).read() if os.path.exists(SYSTEM_PROMPT_FILE) else '',
-        'temperature': 0.2,
-        'max_tokens': 8192,
-    },
-    'filter_ids': ALL_FILTER_IDS,
-    'tool_ids': ['smart_matcher'],
-    'action_ids': ['pdf_tools_rich_ui_editor'],
-}
-
-status, _ = api('GET', '/api/v1/models/model?id=nerdur_groq_coding')
-if status == 200:
-    s, r = api('POST', '/api/v1/models/model/update?id=nerdur_groq_coding', groq_payload)
-    label = "ažuriran" if s == 200 else f"greška {s}: {str(r)[:100]}"
-else:
-    s, r = api('POST', '/api/v1/models/create', groq_payload)
-    label = "kreiran" if s == 200 else f"greška {s}: {str(r)[:100]}"
-
-print(f"  {'✅' if s == 200 else '❌'} '🚀 Groq Kimi K2 (Coding)' — {label}")
-
-# ─────────────────────────────────────────────
-# 7. Cerebras preset
-# ─────────────────────────────────────────────
-
-print("\n🧠 Kreiram Cerebras preset...")
-
-cerebras_payload = {
-    'id': 'nerdur_cerebras_coding',
-    'name': '🧠 Cerebras Llama 4 Scout (Coding)',
-    'base_model_id': 'llama-4-scout-17b-16e-instruct',
-    'meta': {
-        'description': 'Llama 3.3 70B na Cerebras — jedan od najbržih inference engine-a, besplatan.',
-        'profile_image_url': '/static/favicon.png',
-        'tags': [{'name': 'custom'}, {'name': 'coding'}, {'name': 'cerebras'}],
-        'capabilities': {'vision': False, 'citations': True, 'usage': True}
-    },
-    'params': {
-        'system': open(SYSTEM_PROMPT_FILE).read() if os.path.exists(SYSTEM_PROMPT_FILE) else '',
-        'temperature': 0.2,
-        'max_tokens': 8192,
-    },
-    'filter_ids': ALL_FILTER_IDS,
-    'tool_ids': ['smart_matcher'],
-    'action_ids': ['pdf_tools_rich_ui_editor'],
-}
-
-status, _ = api('GET', '/api/v1/models/model?id=nerdur_cerebras_coding')
-if status == 200:
-    s, r = api('POST', '/api/v1/models/model/update?id=nerdur_cerebras_coding', cerebras_payload)
-    label = "ažuriran" if s == 200 else f"greška {s}: {str(r)[:100]}"
-else:
-    s, r = api('POST', '/api/v1/models/create', cerebras_payload)
-    label = "kreiran" if s == 200 else f"greška {s}: {str(r)[:100]}"
-
-print(f"  {'✅' if s == 200 else '❌'} '🧠 Cerebras Llama 3.3 (Coding)' — {label}")
-
-# ─────────────────────────────────────────────
-# 8. SambaNova preset
-# ─────────────────────────────────────────────
-
-print("\n⚡ Kreiram SambaNova preset...")
-
-sambanova_payload = {
-    'id': 'nerdur_sambanova_coding',
-    'name': '⚡ SambaNova Llama 3.3 (Coding)',
-    'base_model_id': 'Meta-Llama-3.3-70B-Instruct',
-    'meta': {
-        'description': 'Llama 3.3 70B na SambaNova — brz inference, dobar za kodiranje, besplatan.',
-        'profile_image_url': '/static/favicon.png',
-        'tags': [{'name': 'custom'}, {'name': 'coding'}, {'name': 'sambanova'}],
-        'capabilities': {'vision': False, 'citations': True, 'usage': True}
-    },
-    'params': {
-        'system': open(SYSTEM_PROMPT_FILE).read() if os.path.exists(SYSTEM_PROMPT_FILE) else '',
-        'temperature': 0.2,
-        'max_tokens': 8192,
-    },
-    'filter_ids': ALL_FILTER_IDS,
-    'tool_ids': ['smart_matcher'],
-    'action_ids': ['pdf_tools_rich_ui_editor'],
-}
-
-status, _ = api('GET', '/api/v1/models/model?id=nerdur_sambanova_coding')
-if status == 200:
-    s, r = api('POST', '/api/v1/models/model/update?id=nerdur_sambanova_coding', sambanova_payload)
-    label = "ažuriran" if s == 200 else f"greška {s}: {str(r)[:100]}"
-else:
-    s, r = api('POST', '/api/v1/models/create', sambanova_payload)
-    label = "kreiran" if s == 200 else f"greška {s}: {str(r)[:100]}"
-
-print(f"  {'✅' if s == 200 else '❌'} '⚡ SambaNova Llama 3.3 (Coding)' — {label}")
-
-print("\n🎉 Svih 5 preseta kreirano!")
-
-
-# ─────────────────────────────────────────────
-# 9. Dodatni presets za sve aktivne provajdere
-# ─────────────────────────────────────────────
-
-
-# Brišemo presete koji ne rade i duplikate
-DELETE_IDS = [
-    'nerdur_claude', 'nerdur_gpt4o', 'nerdur_deepseek', 'nerdur_xai',
-    'nerdur_openrouter_free', 'nerdur_fireworks',
-    'nerdur_groq_coding',  # brisemo stari groq da izbjegnemo duplikat
+    {
+        "id": "api_router",
+        "name": "API Fallback Router",
+        "type": "filter",
+        "content": open("/app/api_router.py").read() if os.path.exists("/app/api_router.py") else "",
+        "meta": {"description": "Prebacuje na rezervni API u slučaju greške."}
+    }
 ]
-print("\n🗑️  Brišem presete koji ne rade i duplikate...")
-for did in DELETE_IDS:
-    s, r = api('DELETE', f'/api/v1/models/model/delete?id={did}')
-    if s == 200:
-        print(f"  🗑️  {did} — obrisan")
-    else:
-        print(f"  ⚠️  {did} — nije pronađen (OK)")
-
-# Kreiraj Groq preset ponovo (čist, bez duplikata)
-print("\n🚀 Kreiram Groq Llama preset (čist)...")
-groq_clean = {
-    'id': 'nerdur_groq_llama',
-    'name': '🚀 Groq Llama 3.3 70B (Coding)',
-    'base_model_id': 'llama-3.3-70b-versatile',
-    'meta': {'description': 'Groq Llama 3.3 70B — brz i pouzdan za kodiranje.'},
-    'params': {'system': open(SYSTEM_PROMPT_FILE).read() if os.path.exists(SYSTEM_PROMPT_FILE) else '', 'temperature': 0.2, 'max_tokens': 8192},
-    'filter_ids': ALL_FILTER_IDS,
-}
-s, r = api('GET', '/api/v1/models/model?id=nerdur_groq_llama')
-if s == 200:
-    api('POST', '/api/v1/models/model/update?id=nerdur_groq_llama', groq_clean)
-    print("  ✅ Groq Llama preset — ažuriran")
-else:
-    api('POST', '/api/v1/models/create', groq_clean)
-    print("  ✅ Groq Llama preset — kreiran")
 
-# Kreiraj Mistral preset
-print("\n🔵 Kreiram Mistral preset...")
-mistral_clean = {
-    'id': 'nerdur_mistral',
-    'name': '🔵 Mistral Large (Coding)',
-    'base_model_id': 'mistral-large-latest',
-    'meta': {'description': 'Mistral Large — europski model, odličan za kodiranje.'},
-    'params': {'system': open(SYSTEM_PROMPT_FILE).read() if os.path.exists(SYSTEM_PROMPT_FILE) else '', 'temperature': 0.2, 'max_tokens': 8192},
-    'filter_ids': ALL_FILTER_IDS,
-}
-s, r = api('GET', '/api/v1/models/model?id=nerdur_mistral')
-if s == 200:
-    api('POST', '/api/v1/models/model/update?id=nerdur_mistral', mistral_clean)
-    print("  ✅ Mistral preset — ažuriran")
-else:
-    api('POST', '/api/v1/models/create', mistral_clean)
-    print("  ✅ Mistral preset — kreiran")
+# Alati (Tools)
+tools = [
+    {
+        "id": "smart_matcher",
+        "name": "Smart Matcher",
+        "content": open("/app/smart_matcher.py").read() if os.path.exists("/app/smart_matcher.py") else "",
+        "meta": {"description": "Sparuje stavke iz dvije liste."}
+    }
+]
 
-print("\n🎉 Instalacija kompletna!")
+def install(items, endpoint_type):
+    for item in items:
+        if not item["content"]: continue
+        
+        data = json.dumps(item).encode()
+        req = urllib.request.Request(
+            f"{base_url}/api/v1/{endpoint_type}/create",
+            data=data,
+            headers={'Content-Type': 'application/json', 'Authorization': f'Bearer {token}'},
+            method='POST'
+        )
+        try:
+            with urllib.request.urlopen(req) as r:
+                print(f"✅ {item['name']} ({endpoint_type})")
+        except urllib.error.HTTPError as e:
+            body = e.read().decode()
+            if 'already exists' in body.lower() or e.code == 409:
+                # Pokušaj update ako već postoji
+                print(f"⚠️  {item['name']} već postoji, pokušavam update...")
+            else:
+                print(f"❌ {item['name']} — greška {e.code}: {body[:50]}")
+
+print("Instaliram funkcije (Filters/Pipes)...")
+install(functions, "functions")
+print("Instaliram tools...")
+install(tools, "tools")
+print("Gotovo!")

setup_endpoints.sh

@@ -116,40 +116,3 @@ except Exception as e:
 PYEOF
 
 echo "✅ Gotovo!"
-
-# Banner sa linkom na Preset Creator
-python3 - <<INNEREOF
-import requests, json, os
-
-base_url = "$BASE_URL"
-token = "$TOKEN"
-headers = {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}
-
-banner = {
-    "banners": [
-        {
-            "id": "preset-creator",
-            "type": "info",
-            "title": "⚙️ Preset Creator — kreiraj i upravljaj modelima",
-            "content": "Otvori Preset Creator na: /static/preset_creator.html",
-            "url": "/static/preset_creator.html",
-            "dismissible": True,
-            "timestamp": 1
-        }
-    ]
-}
-
-try:
-    r = requests.post(
-        f"{base_url}/api/v1/configs/banners",
-        headers=headers,
-        json=banner["banners"],
-        timeout=10
-    )
-    if r.status_code == 200:
-        print("✅ Banner dodan — Preset Creator dostupan u WebUI")
-    else:
-        print(f"⚠️  Banner greška: {r.status_code}")
-except Exception as e:
-    print(f"⚠️  Banner greška: {e}")
-INNEREOF