config.py

"""
Central configuration for the Akademie KI Suite

/var/www/transkript_app/config.py:
"""

import os
import subprocess  # nosec B404

# Globale Variable für den Storage-Status
STORAGE_AVAILABLE = False


def check_storage_health(path, timeout=3):
    """
    Prüft die Erreichbarkeit des Pfads auf Systemebene.
    Verhindert Python-Hänger bei 'Host is down' Fehlern.
    """
    try:
        # 'ls -d' ist minimalinvasiv und prüft nur den Ordner selbst.
        # Use full path to avoid PATH-injection (S607).
        ls_bin = "/bin/ls" if os.path.exists("/bin/ls") else "/usr/bin/ls"
        subprocess.run(  # nosec B603
            [ls_bin, "-d", path],
            stdout=subprocess.DEVNULL,
            stderr=subprocess.DEVNULL,
            timeout=timeout,
            check=True,
        )
        return True
    except (subprocess.TimeoutExpired, subprocess.CalledProcessError, Exception):
        return False


# ==========================================
# PATHS
# ==========================================
VPS_PATH = "/var/www/transkript_app"
if os.path.exists(VPS_PATH):
    APP_DIR = VPS_PATH
else:
    # Uses the directory where config.py actually lives
    APP_DIR = os.path.dirname(os.path.abspath(__file__))

LOG_FILE = os.path.join(APP_DIR, "app.log")
STATIC_DIR = os.path.join(APP_DIR, "static")
IMAGES_DIR = os.path.join(APP_DIR, "generated_images")
STORAGE_MOUNT_POINT = (
    "/mnt/akademie_storage"
    if os.path.exists("/mnt/akademie_storage")
    else os.path.join(APP_DIR, "storage")
)
os.makedirs(
    STORAGE_MOUNT_POINT, exist_ok=True
)  # ensure local fallback dir exists for gr.FileExplorer
JOB_STATE_DIR = os.path.join(APP_DIR, "jobs")

# Ensure directories exist locally
os.makedirs(JOB_STATE_DIR, exist_ok=True)
os.makedirs(IMAGES_DIR, exist_ok=True)

# ==========================================
# DATABASE
# ==========================================
DATABASE_URL = "sqlite:///akademie_suite.db"

# Sandbox VFS database — separate from main DB, persistent storage for Pyodide
# execution state, /home files, and micropip wheel cache.
# Stored alongside the main DB so it survives reboots and is easy to back up.
SANDBOX_DB_PATH = os.path.join(APP_DIR, "sandbox_vfs.db")

# ==========================================
# API KEYS
# ==========================================
API_KEYS = {
    "GLADIA": os.environ.get("GLADIA_API_KEY", "your_key"),
    "SCALEWAY": os.environ.get("SCALEWAY_API_KEY", "your_key"),
    "NEBIUS": os.environ.get("NEBIUS_API_KEY", "your_key"),
    "MISTRAL": os.environ.get("MISTRAL_API_KEY", "your_key"),
    "OPENROUTER": os.environ.get("OPENROUTER_API_KEY", "your_key"),
    "GROQ": os.environ.get("GROQ_API_KEY", "your_key"),
    "POE": os.environ.get("POE_API_KEY", "your_poe_key_here"),
    "DEEPGRAM": os.environ.get("DEEPGRAM_API_KEY", "your_key"),
    "ASSEMBLYAI": os.environ.get("ASSEMBLYAI_API_KEY", "your_key"),
    "OPENAI": os.environ.get("OPENAI_API_KEY", "your_key"),
    "COHERE": os.environ.get("COHERE_API_KEY", "your_key"),
    "TOGETHER": os.environ.get("TOGETHER_API_KEY", "your_key"),
    "OVH": os.environ.get("OVH_API_KEY", "your_key"),
    "CEREBRAS": os.environ.get("CEREBRAS_API_KEY", "your_key"),
    "GOOGLEAI": os.environ.get("GOOGLEAI_API_KEY", "your_key"),
    "ANTHROPIC": os.environ.get("ANTHROPIC_API_KEY", "your_key"),
    "BFL": os.environ.get("BFL_API_KEY", ""),
    "REQUESTY": os.environ.get("REQUESTY_API_KEY", ""),
    "LANGDOCK": os.environ.get("LANGDOCK_API_KEY", ""),
    # Tool executor / web search
    "TAVILY": os.environ.get("TAVILY_API_KEY", ""),  # free 1 000 req/month
    "BRAVE_SEARCH": os.environ.get(
        "BRAVE_SEARCH_API_KEY", ""
    ),  # web, LLM context, images — ~1 000 free/month via $5 credit
    "BRAVE_ANSWERS": os.environ.get(
        "BRAVE_ANSWERS_API_KEY", ""
    ),  # AI answers endpoint — separate subscription
    "SEARXNG_URL": os.environ.get("SEARXNG_URL", ""),  # self-hosted, e.g. http://localhost:8888
    # CrispASR remote HTTP wrapper key — mirrors the constant below so
    # that lookups like API_KEYS["CRISPASR_REMOTE_HTTP_KEY"] work
    # consistently with every other transcription provider.
    "CRISPASR_REMOTE_HTTP_KEY": os.environ.get("CRISPASR_REMOTE_HTTP_KEY", ""),
}

# ==========================================
# 🎙️ CRISPASR REMOTE TRANSCRIPTION SERVER
# ==========================================
# AIToolkit talks to CrispASR via two paths:
#   1. Local binary (always available — see crispasr_tool.py)
#   2. Remote HTTP server at CRISPASR_REMOTE_HTTP_URL — anything speaking the
#      OpenAI-compatible REST surface (POST /v1/audio/transcriptions, POST
#      /load, GET /health). Works against CrispASR's own C++ cpp-httplib
#      server, a FastAPI wrapper, the Gradio HF space, etc.
CRISPASR_REMOTE_HTTP_URL = os.environ.get("CRISPASR_REMOTE_HTTP_URL", "")
CRISPASR_REMOTE_HTTP_KEY = os.environ.get("CRISPASR_REMOTE_HTTP_KEY", "")

# ==========================================
# SECURITY
# ==========================================
EU_ONLY_MODE = True

RESTRICTED_PROVIDERS = {
    "OpenAI": "🇺🇸 US-Server",
    "Anthropic": "🇺🇸 US-Server",
    "OpenRouter": "🇺🇸 US-Server",
    "Groq": "🇺🇸 US-Server",
    "Poe": "🇺🇸 US-Server",
    "Cohere": "🇺🇸 US-Server",
    "Together": "🇺🇸 US-Server",
    "Cerebras": "🇺🇸 US-Server",
    "Requesty": "🔒 Admin-only Router",  # testing still
    "Langdock": "🔒 Admin-only Router",  # testing still
    # Note: Deepgram/AssemblyAI are NOT here because we use their EU endpoints (or they are whitelisted)
    # Note: Requesty is NOT here — it uses the EU router endpoint and models are filtered per-model
}

# ==========================================
# 🇪🇺 REQUESTY EU FILTER
# ==========================================
# Requesty routes to many backend providers. We use the EU router endpoint
# (router.eu.requesty.ai) and then filter models by their ID prefix + region suffix.
#
# Model ID format in Requesty API: "provider/model-name@region"
# Examples: "nebius/deepseek-ai/DeepSeek-V3.2", "azure/gpt-5.1@swedencentral"
#
# EU-native: infrastructure always in EU (no region check needed)
REQUESTY_EU_NATIVE_PREFIXES = frozenset(
    {
        "nebius",  # Amsterdam, Netherlands – EU company & infrastructure
        "mistral",  # Paris, France – EU company & infrastructure
    }
)

# EU-regional: GDPR-compliant only when model ID contains an explicit EU region
REQUESTY_EU_REGIONAL_PREFIXES = frozenset(
    {
        "azure",  # Microsoft Azure EU datacenters
        "bedrock",  # AWS Bedrock EU regions
        "vertex",  # Google Cloud Vertex AI EU regions
        "google",  # Google AI EU regions
        "coding",  # Requesty's own routing wrapper (has EU-region variants)
    }
)

# Substrings (lowercase) that appear in the @region part of EU model IDs.
# Verified from live /models response at router.eu.requesty.ai/v1/models.
REQUESTY_EU_REGION_PATTERNS = (
    # Azure EU regions
    "francecentral",  # France Central
    "swedencentral",  # Sweden Central
    "uksouth",  # UK South (GDPR-equivalent post-Brexit)
    "germanywestcentral",  # Germany West Central
    "norwayeast",  # Norway East
    "switzerlandnorth",  # Switzerland North
    "westeurope",  # West Europe (Netherlands)
    # AWS Bedrock EU regions
    "eu-central-",  # eu-central-1 (Frankfurt)
    "eu-west-",  # eu-west-1/2/3 (Ireland, London, Paris)
    "eu-north-",  # eu-north-1 (Stockholm)
    "eu-south-",  # eu-south-1/2 (Milan, Spain)
    # Google Cloud / Vertex EU regions
    "europe-west",  # europe-west1/4/8 etc.
    "europe-central",  # europe-central2 (Warsaw)
    "europe-north",  # europe-north1 (Finland)
    "europe-south",  # europe-south1 (Milan)
)

# Non-EU backend providers (always blocked for EU-only mode).
# Models from these providers route through non-EU infrastructure.
REQUESTY_NON_EU_PREFIXES = frozenset(
    {
        "openai",  # US
        "openai-responses",  # US
        "anthropic",  # US
        "novita",  # US
        "groq",  # US
        "deepinfra",  # US
        "together",  # US
        "parasail",  # US
        "perplexity",  # US
        "xai",  # US
        "moonshot",  # China
        "minimaxi",  # China
        "zai",  # China
        "alibaba",  # China
        "deepseek",  # China
    }
)

# ==========================================
# 📋 PROVIDER LISTS (Master Lists)
# ==========================================

# 1. TRANSCRIPTION
TRANSCRIPTION_PROVIDERS_ALL = [
    "Gladia",
    "Deepgram",
    "AssemblyAI",
    "Mistral",
    "Scaleway",
    "Groq",
    "CrispASR",
    "CrispASR-HTTP",
]

# 2. VISION
VISION_PROVIDERS_ALL = ["Scaleway", "Mistral", "Nebius", "OpenRouter", "Poe", "Groq"]

# 3. IMAGE GENERATION
IMAGE_PROVIDERS_ALL = ["BFL", "Mistral", "Nebius", "Scaleway", "OpenRouter", "Poe"]

OCR_ENGINES = [
    "Standard (lokal)",
    "GLM-OCR (lokal)",
    "Mistral OCR",
    "Vision LLM",
    "Groq",
    "OpenRouter",
]

# Mapping for Vision LLMs to use as OCR
# We reuse the VISION_PROVIDERS list but prompt them specifically for OCR
OCR_VISION_PROVIDERS = ["Nebius", "Scaleway", "OpenRouter", "Poe", "Mistral", "Groq"]

GROQ_OCR_MODELS = [
    "meta-llama/llama-4-scout-17b-16e-instruct",
    "meta-llama/llama-4-maverick-17b-128e-instruct",
]

# OpenRouter Models known to work well with their PDF parser
OPENROUTER_OCR_MODELS = [
    "google/gemma-3-27b-it",
    "anthropic/claude-3.5-sonnet",
    "meta-llama/llama-3.3-70b-instruct",
    "openai/gpt-4o",
]

# ==========================================
# 🛡️ DYNAMIC SAFE LISTS (Derived)
# ==========================================
# Automatically remove any provider appearing in RESTRICTED_PROVIDERS
TRANSCRIPTION_PROVIDERS_SAFE = [
    p for p in TRANSCRIPTION_PROVIDERS_ALL if p not in RESTRICTED_PROVIDERS
]
VISION_PROVIDERS_SAFE = [p for p in VISION_PROVIDERS_ALL if p not in RESTRICTED_PROVIDERS]
IMAGE_PROVIDERS_SAFE = [p for p in IMAGE_PROVIDERS_ALL if p not in RESTRICTED_PROVIDERS]

# ==========================================
# PROVIDERS CONFIG
# ==========================================
PROVIDERS = {
    "Scaleway": {
        "base_url": "https://api.scaleway.ai/v1",
        "key_name": "SCALEWAY",
        "badge": "🇫🇷 <b>DSGVO-Konform</b>",
        "chat_models": [
            "gpt-oss-120b",
            "mistral-small-3.2-24b-instruct-2506",
            "gemma-3-27b-it",
            "qwen3-235b-a22b-instruct-2507",
            "llama-3.3-70b-instruct",
            "deepseek-r1-distill-llama-70b",
        ],
        "vision_models": ["pixtral-12b-2409", "mistral-small-3.1-24b-instruct-2503"],
        "audio_models": ["whisper-large-v3"],
        "image_models": ["pixtral-12b-2409"],
        "context_limits": {
            "gpt-oss-120b": 32768,
            "mistral-small-3.2-24b-instruct-2506": 32768,
            "gemma-3-27b-it": 96000,
            "qwen3-235b-a22b-instruct-2507": 131072,
            "llama-3.3-70b-instruct": 131072,
            "deepseek-r1-distill-llama-70b": 8192,
            "pixtral-12b-2409": 32768,
            "mistral-small-3.1-24b-instruct-2503": 96000,
            "whisper-large-v3": 16384,
        },
    },
    "Gladia": {
        "base_url": "https://api.gladia.io/v2",
        "key_name": "GLADIA",
        "badge": "🇫🇷 <b>DSGVO-Konform</b>",
        "audio_models": ["gladia-v2"],
        "context_limits": {"gladia-v2": 1000000},
    },
    "Nebius": {
        "base_url": "https://api.tokenfactory.nebius.com/v1",
        "key_name": "NEBIUS",
        "badge": "🇪🇺 <b>DSGVO-Konform</b>",
        "chat_models": [
            "deepseek-ai/DeepSeek-R1-0528",
            "nvidia/Llama-3_1-Nemotron-Ultra-253B-v1",
            "openai/gpt-oss-120b",
            "moonshotai/Kimi-K2-Instruct",
            "moonshotai/Kimi-K2-Thinking",
            "zai-org/GLM-4.5",
            "meta-llama/Llama-3.3-70B-Instruct",
        ],
        "image_models": [
            "black-forest-labs/flux-schnell",
            "black-forest-labs/flux-dev",
        ],
        "vision_models": [
            "google/gemma-3-27b-it",
            "Qwen/Qwen2.5-VL-72B-Instruct",
            "nvidia/Nemotron-Nano-V2-12b",
        ],
        "context_limits": {
            "deepseek-ai/DeepSeek-R1-0528": 163840,
            "nvidia/Llama-3_1-Nemotron-Ultra-253B-v1": 131072,
            "openai/gpt-oss-120b": 32768,
            "moonshotai/Kimi-K2-Instruct": 128000,
            "moonshotai/Kimi-K2-Thinking": 128000,
            "zai-org/GLM-4.5": 128000,
            "meta-llama/Llama-3.3-70B-Instruct": 131072,
            "black-forest-labs/flux-schnell": 4096,
            "black-forest-labs/flux-dev": 4096,
        },
    },
    "Mistral": {
        "base_url": "https://api.mistral.ai/v1",
        "key_name": "MISTRAL",
        "badge": "🇫🇷 <b>DSGVO-Konform</b>",
        "chat_models": [
            "mistral-large-latest",
            "mistral-medium-2508",
            "magistral-medium-2509",
            "open-mistral-nemo-2407",
        ],
        "vision_models": [
            "pixtral-large-latest",
            # "pixtral-large-2411",
            "pixtral-12b-2409",
            "mistral-ocr-latest",
            "mistral-large-latest",  # Mistral Large 3
            "mistral-medium-latest",  # Mistral Medium 3
            "mistral-small-latest",  # Mistral Small 3
            "ministral-14b-2512",
            "ministral-8b-2512",
        ],
        "audio_models": [
            "voxtral-mini-latest",
            "voxtral-mini-transcribe-realtime-2602",
        ],
        "image_models": ["mistral-medium-2505"],
        "context_limits": {
            "mistral-large-latest": 128000,
            "mistral-medium-2508": 128000,
            "magistral-medium-2509": 128000,
            "open-mistral-nemo-2407": 128000,
            "pixtral-large-2411": 128000,
            "pixtral-12b-2409": 32768,
            "mistral-ocr-latest": 32768,
            "voxtral-mini-latest": 16384,
        },
    },
    "BFL": {
        "base_url": "https://api.bfl.ai/v1",
        "key_name": "BFL",
        "badge": "🇩🇪 <b>EU-Server & Firma</b>",
        "image_models": [
            "flux-pro-1.1",
            "flux-pro-1.1-ultra",
            "flux-2-max",
            "flux-2-pro",
            "flux-2-klein-4b",
            "flux-2-klein-9b",
        ],
        "context_limits": {
            # Dummy limits for consistency
            "flux-pro-1.1": 4096,
            "flux-pro-1.1-ultra": 4096,
            "flux-2-max": 4096,
            "flux-2-pro": 4096,
            "flux-2-klein-4b": 4096,
            "flux-2-klein-9b": 4096,
        },
    },
    "Deepgram": {
        "base_url": "https://api.eu.deepgram.com/v1",
        "key_name": "DEEPGRAM",
        "badge": "🇪🇺 <b>EU-Server, US-Firma</b>",
        "audio_models": ["nova-3-general", "nova-2-general", "nova-2"],
        "context_limits": {
            "nova-3-general": 16384,
            "nova-2-general": 16384,
            "nova-2": 16384,
        },
    },
    "AssemblyAI": {
        "base_url": "https://api.eu.assemblyai.com/v2",
        "key_name": "ASSEMBLYAI",
        "badge": "🇪🇺 <b>EU-Server, US-Firma</b>",
        "audio_models": ["universal", "slam-1"],
        "context_limits": {
            "universal": 16384,
            "slam-1": 16384,
        },
    },
    "OpenRouter": {
        "base_url": "https://openrouter.ai/api/v1",
        "key_name": "OPENROUTER",
        "badge": "🇺🇸 <b>US-Server</b>!",
        "chat_models": [
            # 1M+ Context
            "google/gemini-2.0-pro-exp-02-05:free",
            "google/gemini-2.0-flash-thinking-exp:free",
            "google/gemini-2.0-flash-exp:free",
            "google/gemini-2.5-pro-exp-03-25:free",
            "google/gemini-flash-1.5-8b-exp",
            # 100K+ Context
            "deepseek/deepseek-r1-zero:free",
            "deepseek/deepseek-r1:free",
            "deepseek/deepseek-v3-base:free",
            "deepseek/deepseek-chat-v3-0324:free",
            "deepseek/deepseek-chat:free",
            "google/gemma-3-4b-it:free",
            "google/gemma-3-12b-it:free",
            "qwen/qwen2.5-vl-72b-instruct:free",
            "nvidia/llama-3.1-nemotron-70b-instruct:free",
            "meta-llama/llama-3.2-1b-instruct:free",
            "meta-llama/llama-3.2-11b-vision-instruct:free",
            "meta-llama/llama-3.1-8b-instruct:free",
            "mistralai/mistral-nemo:free",
            # 64K-100K Context
            "mistralai/mistral-small-3.1-24b-instruct:free",
            "google/gemma-3-27b-it:free",
            "qwen/qwen2.5-vl-3b-instruct:free",
            "qwen/qwen-2.5-vl-7b-instruct:free",
            # 32K-64K Context
            "google/learnlm-1.5-pro-experimental:free",
            "qwen/qwq-32b:free",
            "google/gemini-2.0-flash-thinking-exp-1219:free",
            "bytedance-research/ui-tars-72b:free",
            "google/gemma-3-1b-it:free",
            "mistralai/mistral-small-24b-instruct-2501:free",
            "qwen/qwen-2.5-coder-32b-instruct:free",
            "qwen/qwen-2.5-72b-instruct:free",
            # 8K-32K Context
            "meta-llama/llama-3.2-3b-instruct:free",
            "qwen/qwq-32b-preview:free",
            "deepseek/deepseek-r1-distill-qwen-32b:free",
            "qwen/qwen2.5-vl-32b-instruct:free",
            "deepseek/deepseek-r1-distill-llama-70b:free",
            "qwen/qwen-2-7b-instruct:free",
            "google/gemma-2-9b-it:free",
            "mistralai/mistral-7b-instruct:free",
            "microsoft/phi-3-mini-128k-instruct:free",
            "meta-llama/llama-3-8b-instruct:free",
            "meta-llama/llama-3.3-70b-instruct:free",
            # 4K Context
            "huggingfaceh4/zephyr-7b-beta:free",
        ],
        "vision_models": [
            "google/gemini-2.0-pro-exp-02-05:free",
            "google/gemini-2.0-flash-thinking-exp:free",
            "google/gemini-2.0-flash-exp:free",
            "google/gemini-2.5-pro-exp-03-25:free",
            "google/gemini-flash-1.5-8b-exp",
            "qwen/qwen2.5-vl-72b-instruct:free",
            "meta-llama/llama-3.2-11b-vision-instruct:free",
            "mistralai/mistral-small-3.1-24b-instruct:free",
            "google/gemma-3-27b-it:free",
            "qwen/qwen2.5-vl-3b-instruct:free",
            "qwen/qwen-2.5-vl-7b-instruct:free",
            "bytedance-research/ui-tars-72b:free",
            "qwen/qwen2.5-vl-32b-instruct:free",
        ],
        "audio_models": [
            "google/gemini-2.0-flash-lite-001",
            "mistralai/voxtral-small-24b-2507",
            "google/gemini-2.5-flash-lite",
        ],
        "image_models": [
            "google/gemini-2.5-flash-image",
            "openai/gpt-5-image-mini",
            "google/gemini-3-pro-image-preview",
            "black-forest-labs/flux.2-pro",
            "black-forest-labs/flux.2-flex",
        ],
        "context_limits": {
            # 1M+ Context
            "google/gemini-2.0-pro-exp-02-05:free": 2000000,
            "google/gemini-2.0-flash-thinking-exp:free": 1048576,
            "google/gemini-2.0-flash-exp:free": 1048576,
            "google/gemini-2.5-pro-exp-03-25:free": 1000000,
            "google/gemini-flash-1.5-8b-exp": 1000000,
            # 100K+ Context
            "deepseek/deepseek-r1-zero:free": 163840,
            "deepseek/deepseek-r1:free": 163840,
            "deepseek/deepseek-v3-base:free": 131072,
            "deepseek/deepseek-chat-v3-0324:free": 131072,
            "deepseek/deepseek-chat:free": 131072,
            "google/gemma-3-4b-it:free": 131072,
            "google/gemma-3-12b-it:free": 131072,
            "qwen/qwen2.5-vl-72b-instruct:free": 131072,
            "nvidia/llama-3.1-nemotron-70b-instruct:free": 131072,
            "meta-llama/llama-3.2-1b-instruct:free": 131072,
            "meta-llama/llama-3.2-11b-vision-instruct:free": 131072,
            "meta-llama/llama-3.1-8b-instruct:free": 131072,
            "mistralai/mistral-nemo:free": 128000,
            # 64K-100K Context
            "mistralai/mistral-small-3.1-24b-instruct:free": 96000,
            "google/gemma-3-27b-it:free": 96000,
            "qwen/qwen2.5-vl-3b-instruct:free": 64000,
            "qwen/qwen-2.5-vl-7b-instruct:free": 64000,
            # 32K-64K Context
            "google/learnlm-1.5-pro-experimental:free": 40960,
            "qwen/qwq-32b:free": 40000,
            "google/gemini-2.0-flash-thinking-exp-1219:free": 40000,
            "bytedance-research/ui-tars-72b:free": 32768,
            "google/gemma-3-1b-it:free": 32768,
            "mistralai/mistral-small-24b-instruct-2501:free": 32768,
            "qwen/qwen-2.5-coder-32b-instruct:free": 32768,
            "qwen/qwen-2.5-72b-instruct:free": 32768,
            # 8K-32K Context
            "meta-llama/llama-3.2-3b-instruct:free": 20000,
            "qwen/qwq-32b-preview:free": 16384,
            "deepseek/deepseek-r1-distill-qwen-32b:free": 16000,
            "qwen/qwen2.5-vl-32b-instruct:free": 8192,
            "deepseek/deepseek-r1-distill-llama-70b:free": 8192,
            "qwen/qwen-2-7b-instruct:free": 8192,
            "google/gemma-2-9b-it:free": 8192,
            "mistralai/mistral-7b-instruct:free": 8192,
            "microsoft/phi-3-mini-128k-instruct:free": 8192,
            "meta-llama/llama-3-8b-instruct:free": 8192,
            "meta-llama/llama-3.3-70b-instruct:free": 8000,
            # 4K Context
            "huggingfaceh4/zephyr-7b-beta:free": 4096,
            # Audio/Image
            "google/gemini-2.0-flash-lite-001": 1000000,
            "mistralai/voxtral-small-24b-2507": 32768,
            "google/gemini-2.5-flash-lite": 1000000,
            "google/gemini-2.5-flash-image": 1000000,
            "openai/gpt-5-image-mini": 128000,
            "google/gemini-3-pro-image-preview": 1000000,
            "black-forest-labs/flux.2-pro": 4096,
            "black-forest-labs/flux.2-flex": 4096,
        },
    },
    "Groq": {
        "base_url": "https://api.groq.com/openai/v1",
        "key_name": "GROQ",
        "badge": "🇺🇸 <b>US-Server</b>",
        "chat_models": [
            # Production models (no prefix)
            "llama-3.3-70b-versatile",
            "llama-3.1-8b-instant",
            # Preview models (with prefixes)
            "openai/gpt-oss-120b",
            "openai/gpt-oss-20b",
            "openai/gpt-oss-safeguard-20b",
            "moonshotai/kimi-k2-instruct-0905",
            "moonshotai/kimi-k2-instruct",
            "meta-llama/llama-4-maverick-17b-128e-instruct",
            "meta-llama/llama-4-scout-17b-16e-instruct",
            "meta-llama/llama-guard-4-12b",
            "meta-llama/llama-prompt-guard-2-22m",
            "meta-llama/llama-prompt-guard-2-86m",
            "qwen/qwen3-32b",
            "allam-2-7b",
            # Systems
            "groq/compound",
            "groq/compound-mini",
        ],
        "vision_models": [
            # Vision models - REQUIRE meta-llama/ prefix
            "meta-llama/llama-4-scout-17b-16e-instruct",
            "meta-llama/llama-4-maverick-17b-128e-instruct",
        ],
        "audio_models": ["whisper-large-v3", "whisper-large-v3-turbo"],
        "tts_models": [
            "canopylabs/orpheus-v1-english",
            "canopylabs/orpheus-arabic-saudi",
        ],
        "context_limits": {
            # Production
            "llama-3.1-8b-instant": 131072,
            "llama-3.3-70b-versatile": 131072,
            # Preview LLMs
            "openai/gpt-oss-120b": 131072,
            "openai/gpt-oss-20b": 131072,
            "openai/gpt-oss-safeguard-20b": 131072,
            "moonshotai/kimi-k2-instruct-0905": 262144,
            "moonshotai/kimi-k2-instruct": 131072,
            "meta-llama/llama-4-maverick-17b-128e-instruct": 131072,
            "meta-llama/llama-4-scout-17b-16e-instruct": 131072,
            "meta-llama/llama-guard-4-12b": 131072,
            "meta-llama/llama-prompt-guard-2-22m": 512,
            "meta-llama/llama-prompt-guard-2-86m": 512,
            "qwen/qwen3-32b": 131072,
            "allam-2-7b": 4096,
            # Systems
            "groq/compound": 131072,
            "groq/compound-mini": 131072,
            # Audio
            "whisper-large-v3": 448,
            "whisper-large-v3-turbo": 448,
            # TTS
            "canopylabs/orpheus-v1-english": 4000,
            "canopylabs/orpheus-arabic-saudi": 4000,
        },
    },
    "Poe": {
        "base_url": "https://api.poe.com/v1",
        "key_name": "POE",
        "badge": "🌐 <b>US-Server</b>!",
        "chat_models": [
            "gpt-5.1-instant",
            "claude-sonnet-4.5",
            "gemini-3-pro",
            "gpt-5.1",
            "gpt-4o",
            "claude-3.5-sonnet",
            "deepseek-r1",
            "grok-4",
        ],
        "vision_models": [
            "claude-sonnet-4.5",
            "gpt-5.1",
            "gemini-3-pro",
            "gpt-4o",
            "claude-3.5-sonnet",
        ],
        "image_models": [
            "gpt-image-1",
            "flux-pro-1.1-ultra",
            "ideogram-v3",
            "dall-e-3",
            "playground-v3",
        ],
        "audio_models": ["elevenlabs-v3", "sonic-3.0"],
        "video_models": ["kling-2.5-turbo-pro", "runway-gen-4-turbo", "veo-3.1"],
        "supports_system": True,
        "supports_streaming": True,
        "context_limits": {
            "gpt-5.1-instant": 128000,
            "claude-sonnet-4.5": 200000,
            "gemini-3-pro": 2000000,
            "gpt-5.1": 128000,
            "gpt-4o": 128000,
            "claude-3.5-sonnet": 200000,
            "deepseek-r1": 163840,
            "grok-4": 131072,
            "gpt-image-1": 4096,
            "flux-pro-1.1-ultra": 4096,
            "ideogram-v3": 4096,
            "dall-e-3": 4096,
            "playground-v3": 4096,
            "elevenlabs-v3": 4096,
            "sonic-3.0": 4096,
            "kling-2.5-turbo-pro": 4096,
            "runway-gen-4-turbo": 4096,
            "veo-3.1": 4096,
        },
    },
    "OpenAI": {
        "base_url": "https://api.openai.com/v1",
        "key_name": "OPENAI",
        "badge": "🇺🇸 <b>US-Server</b>!",
        "chat_models": [
            "gpt-3.5-turbo",
            "gpt-3.5-turbo-0125",
            "gpt-4",
            "gpt-4-turbo",
            "gpt-4o",
            "gpt-4o-mini",
            "o1-preview",
            "o1-mini",
        ],
        "vision_models": [
            "gpt-4-turbo",
            "gpt-4o",
            "gpt-4o-mini",
            "o1-preview",
            "o1-mini",
        ],
        "context_limits": {
            "gpt-3.5-turbo": 16385,
            "gpt-3.5-turbo-0125": 16385,
            "gpt-3.5-turbo-instruct": 4096,
            "gpt-4": 8192,
            "gpt-4-turbo": 128000,
            "gpt-4o": 128000,
            "gpt-4o-mini": 128000,
            "o1-preview": 128000,
            "o1-mini": 128000,
        },
    },
    "Cohere": {
        "base_url": "https://api.cohere.ai/v1",
        "key_name": "COHERE",
        "badge": "🇺🇸 <b>US-Server</b>!",
        "chat_models": [
            "command-r-plus-08-2024",
            "command-r-plus",
            "command-r-08-2024",
            "command-r",
            "command",
            "c4ai-aya-expanse-8b",
            "c4ai-aya-expanse-32b",
        ],
        "context_limits": {
            "command-r-plus-08-2024": 131072,
            "command-r-plus-04-2024": 131072,
            "command-r-plus": 131072,
            "command-r-08-2024": 131072,
            "command-r-03-2024": 131072,
            "command-r": 131072,
            "command": 4096,
            "command-nightly": 131072,
            "command-light": 4096,
            "command-light-nightly": 4096,
            "c4ai-aya-expanse-8b": 8192,
            "c4ai-aya-expanse-32b": 131072,
        },
    },
    "Together": {
        "base_url": "https://api.together.xyz/v1",
        "key_name": "TOGETHER",
        "badge": "🇺🇸 <b>US-Server</b>!",
        "chat_models": [
            "meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo",
            "deepseek-ai/DeepSeek-R1-Distill-Llama-70B-free",
            "meta-llama/Llama-3.3-70B-Instruct-Turbo-Free",
        ],
        "vision_models": ["meta-llama/Llama-Vision-Free"],
        "context_limits": {
            "meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo": 131072,
            "deepseek-ai/DeepSeek-R1-Distill-Llama-70B-free": 8192,
            "meta-llama/Llama-Vision-Free": 8192,
            "meta-llama/Llama-3.3-70B-Instruct-Turbo-Free": 8192,
        },
    },
    "OVH": {
        "base_url": "https://llama-3-1-70b-instruct.endpoints.kepler.ai.cloud.ovh.net/api/openai_compat/v1",
        "key_name": "OVH",
        "badge": "🇫🇷 <b>DSGVO-Konform</b>",
        "chat_models": [
            "ovh/codestral-mamba-7b-v0.1",
            "ovh/deepseek-r1-distill-llama-70b",
            "ovh/llama-3.1-70b-instruct",
            "ovh/llama-3.1-8b-instruct",
            "ovh/llama-3.3-70b-instruct",
            "ovh/mistral-7b-instruct-v0.3",
            "ovh/mistral-nemo-2407",
            "ovh/mixtral-8x7b-instruct",
            "ovh/qwen2.5-coder-32b-instruct",
        ],
        "vision_models": ["ovh/llava-next-mistral-7b", "ovh/qwen2.5-vl-72b-instruct"],
        "context_limits": {
            "ovh/codestral-mamba-7b-v0.1": 131072,
            "ovh/deepseek-r1-distill-llama-70b": 8192,
            "ovh/llama-3.1-70b-instruct": 131072,
            "ovh/llama-3.1-8b-instruct": 131072,
            "ovh/llama-3.3-70b-instruct": 131072,
            "ovh/llava-next-mistral-7b": 8192,
            "ovh/mistral-7b-instruct-v0.3": 32768,
            "ovh/mistral-nemo-2407": 131072,
            "ovh/mixtral-8x7b-instruct": 32768,
            "ovh/qwen2.5-coder-32b-instruct": 32768,
            "ovh/qwen2.5-vl-72b-instruct": 131072,
        },
    },
    "Cerebras": {
        "base_url": "https://api.cerebras.ai/v1",
        "key_name": "CEREBRAS",
        "badge": "🇺🇸 <b>US-Server</b>!",
        "chat_models": ["llama3.1-8b", "llama-3.3-70b"],
        "context_limits": {
            "llama3.1-8b": 8192,
            "llama-3.3-70b": 8192,
        },
    },
    "GoogleAI": {
        "base_url": "https://generativelanguage.googleapis.com/v1beta",
        "key_name": "GOOGLEAI",
        "badge": "🇺🇸 <b>US-Server</b>?",
        "chat_models": [
            "gemini-1.0-pro",
            "gemini-1.5-flash",
            "gemini-1.5-pro",
            "gemini-2.0-pro",
            "gemini-2.5-pro",
        ],
        "vision_models": [
            "gemini-1.5-pro",
            "gemini-1.0-pro",
            "gemini-1.5-flash",
            "gemini-2.0-pro",
            "gemini-2.5-pro",
        ],
        "context_limits": {
            "gemini-1.0-pro": 32768,
            "gemini-1.5-flash": 1000000,
            "gemini-1.5-pro": 1000000,
            "gemini-2.0-pro": 2000000,
            "gemini-2.5-pro": 2000000,
        },
    },
    "Anthropic": {
        "base_url": "https://api.anthropic.com/v1",
        "key_name": "ANTHROPIC",
        "badge": "🇺🇸 <b>US-Server</b>!",
        "chat_models": [
            "claude-3-7-sonnet-20250219",
            "claude-3-5-sonnet-20241022",
            "claude-3-5-haiku-20240307",
            "claude-3-opus-20240229",
        ],
        "vision_models": [
            "claude-3-7-sonnet-20250219",
            "claude-3-5-sonnet-20241022",
            "claude-3-5-haiku-20240307",
            "claude-3-opus-20240229",
        ],
        "context_limits": {
            "claude-3-7-sonnet-20250219": 128000,
            "claude-3-5-sonnet-20241022": 200000,
            "claude-3-5-haiku-20240307": 200000,
            "claude-3-5-sonnet-20240620": 200000,
            "claude-3-opus-20240229": 200000,
            "claude-3-haiku-20240307": 200000,
            "claude-3-sonnet-20240229": 200000,
        },
    },
    "HuggingFace": {
        "base_url": "https://api-inference.huggingface.co/models",
        "key_name": "HUGGINGFACE",
        "badge": "🌐 <b>US-Server</b>?",
        "chat_models": [
            "microsoft/phi-3-mini-4k-instruct",
            "microsoft/Phi-3-mini-128k-instruct",
            "HuggingFaceH4/zephyr-7b-beta",
            "deepseek-ai/DeepSeek-Coder-V2-Instruct",
            "mistralai/Mistral-7B-Instruct-v0.3",
            "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
            "microsoft/Phi-3.5-mini-instruct",
            "google/gemma-2-2b-it",
            "Qwen/Qwen2.5-7B-Instruct",
            "tiiuae/falcon-7b-instruct",
            "Qwen/QwQ-32B-preview",
        ],
        "vision_models": [
            "Qwen/Qwen2.5-VL-7B-Instruct",
            "Qwen/qwen2.5-vl-3b-instruct",
            "Qwen/qwen2.5-vl-32b-instruct",
            "Qwen/qwen2.5-vl-72b-instruct",
        ],
        "context_limits": {
            "microsoft/phi-3-mini-4k-instruct": 4096,
            "microsoft/Phi-3-mini-128k-instruct": 131072,
            "HuggingFaceH4/zephyr-7b-beta": 8192,
            "deepseek-ai/DeepSeek-Coder-V2-Instruct": 8192,
            "mistralai/Mistral-7B-Instruct-v0.3": 32768,
            "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO": 32768,
            "microsoft/Phi-3.5-mini-instruct": 4096,
            "google/gemma-2-2b-it": 2048,
            "openai-community/gpt2": 1024,
            "microsoft/phi-2": 2048,
            "TinyLlama/TinyLlama-1.1B-Chat-v1.0": 2048,
            "Qwen/Qwen2.5-7B-Instruct": 131072,
            "tiiuae/falcon-7b-instruct": 8192,
            "Qwen/QwQ-32B-preview": 32768,
            "Qwen/Qwen2.5-VL-7B-Instruct": 64000,
            "Qwen/qwen2.5-vl-3b-instruct": 64000,
            "Qwen/qwen2.5-vl-32b-instruct": 8192,
            "Qwen/qwen2.5-vl-72b-instruct": 131072,
        },
    },
    "Requesty": {
        # EU router endpoint – always use this, never the US endpoint
        "base_url": "https://router.eu.requesty.ai/v1",
        "key_name": "REQUESTY",
        "badge": "🇪🇺 <b>EU-Router (gefiltert)</b>",
        # Curated EU-routed chat models (provider/model@region format).
        # All of these route through EU infrastructure verified via the /models API.
        "chat_models": [
            # Nebius (Netherlands) – EU-native
            "nebius/deepseek-ai/DeepSeek-V3.2",
            "nebius/deepseek-ai/DeepSeek-R1-0528",
            "nebius/moonshotai/kimi-k2.5",
            "nebius/Qwen/Qwen3-Coder-480B-A35B-Instruct",
            "nebius/meta-llama/Llama-3.3-70B-Instruct",
            # Mistral (France) – EU-native
            "mistral/mistral-large-latest",
            "mistral/mistral-medium-latest",
            "mistral/devstral-latest",
            # AWS Bedrock – EU regions only
            "bedrock/claude-sonnet-4-6@eu-west-1",
            "bedrock/claude-sonnet-4-6@eu-central-1",
            "bedrock/claude-opus-4-5@eu-west-1",
            "bedrock/claude-opus-4-5@eu-central-1",
            "bedrock/claude-haiku-4-5@eu-west-1",
            # Google Vertex – EU regions only
            "vertex/gemini-2.5-pro@europe-west4",
            "vertex/gemini-2.5-pro@europe-west1",
            "vertex/gemini-2.5-flash@europe-west4",
            "vertex/gemini-2.5-flash@europe-west1",
            # Azure – EU regions only
            "azure/gpt-5.1@swedencentral",
            "azure/gpt-5.1@francecentral",
            "azure/gpt-4.1@swedencentral",
            "azure/gpt-4.1@francecentral",
            "azure/gpt-4.1-mini@swedencentral",
        ],
        "context_limits": {
            "nebius/deepseek-ai/DeepSeek-V3.2": 163840,
            "nebius/deepseek-ai/DeepSeek-R1-0528": 163840,
            "nebius/moonshotai/kimi-k2.5": 262144,
            "nebius/Qwen/Qwen3-Coder-480B-A35B-Instruct": 262144,
            "nebius/meta-llama/Llama-3.3-70B-Instruct": 131072,
            "mistral/mistral-large-latest": 131072,
            "mistral/mistral-medium-latest": 131072,
            "mistral/devstral-latest": 262144,
            "bedrock/claude-sonnet-4-6@eu-west-1": 1000000,
            "bedrock/claude-sonnet-4-6@eu-central-1": 1000000,
            "bedrock/claude-opus-4-5@eu-west-1": 200000,
            "bedrock/claude-opus-4-5@eu-central-1": 200000,
            "bedrock/claude-haiku-4-5@eu-west-1": 200000,
            "vertex/gemini-2.5-pro@europe-west4": 1000000,
            "vertex/gemini-2.5-pro@europe-west1": 1000000,
            "vertex/gemini-2.5-flash@europe-west4": 1000000,
            "vertex/gemini-2.5-flash@europe-west1": 1000000,
            "azure/gpt-5.1@swedencentral": 200000,
            "azure/gpt-5.1@francecentral": 200000,
            "azure/gpt-4.1@swedencentral": 1000000,
            "azure/gpt-4.1@francecentral": 1000000,
            "azure/gpt-4.1-mini@swedencentral": 1000000,
        },
    },
    "Langdock": {
        # German company (Hamburg), GDPR-compliant, EU Azure infrastructure.
        # OpenAI-compatible endpoint — drop-in for openai.OpenAI(base_url=...).
        "base_url": "https://api.langdock.com/openai/eu/v1",
        "key_name": "LANGDOCK",
        "badge": "🇩🇪 <b>DSGVO-Konform (EU-Azure)</b>",
        "chat_models": [
            # Flagship / latest
            "gpt-5",
            "gpt-5.1",
            "gpt-5.2",
            "gpt-5-mini",
            "gpt-5-nano",
            # Stable GPT-4 series
            "gpt-4o",
            "gpt-4.1",
            "gpt-4.1-mini",
            "gpt-4.1-nano",
            "gpt-4o-mini",
            # Reasoning models
            "o3",
            "o4-mini",
            "o1",
            "o3-mini",
            # Additional OpenAI models from live API
            "gpt-5.2-pro",
            "gpt-5.1-chat-latest",
            "gpt-5-chat-latest",
            # Anthropic models (via /anthropic/eu/v1/messages — native Anthropic format)
            "claude-sonnet-4-6-default",
            "claude-opus-4-6-default",
            "claude-sonnet-4-5-20250929",
            "claude-opus-4-5-20251101",
            "claude-haiku-4-5-20251001",
            "claude-sonnet-4-20250514",
            "claude-3-7-sonnet-20250219",
            "claude-3-5-sonnet-20240620",
            # Google Gemini models (via /google/eu/v1beta — native Vertex format)
            "gemini-2.5-pro",
            "gemini-2.5-flash",
        ],
        "context_limits": {
            # OpenAI
            "gpt-5": 400000,
            "gpt-5.1": 400000,
            "gpt-5.2": 400000,
            "gpt-5-mini": 200000,
            "gpt-5-nano": 200000,
            "gpt-4o": 128000,
            "gpt-4.1": 1000000,
            "gpt-4.1-mini": 1000000,
            "gpt-4.1-nano": 1000000,
            "gpt-4o-mini": 128000,
            "o3": 200000,
            "o4-mini": 200000,
            "o1": 200000,
            "o3-mini": 200000,
            # Anthropic
            "claude-sonnet-4-6-default": 200000,
            "claude-opus-4-6-default": 200000,
            "claude-sonnet-4-5-20250929": 200000,
            "claude-opus-4-5-20251101": 200000,
            "claude-haiku-4-5-20251001": 200000,
            "claude-sonnet-4-20250514": 200000,
            "claude-3-7-sonnet-20250219": 200000,
            "claude-3-5-sonnet-20240620": 200000,
            # Google
            "gemini-2.5-pro": 1000000,
            "gemini-2.5-flash": 1000000,
        },
    },
    # ------------------------------------------------------------------
    # CrispASR — local C++ binary, no API key, no EU concerns
    # Backend IDs serve as "model" identifiers in the transcription UI.
    # Models with "(Auto-DL)" auto-download their GGUF on first use.
    # ------------------------------------------------------------------
    "CrispASR": {
        "base_url": None,
        "key_name": None,
        "badge": "🖥️ <b>Lokal (offline)</b>",
        "audio_models": [
            # Multilingual / production
            "parakeet",
            "whisper",
            "canary",
            "cohere",
            "qwen3",
            "voxtral",
            "voxtral4b",
            # Granite family (IBM Apache-2.0)
            "granite",
            "granite-4.1",
            "granite-4.1-plus",
            "granite-4.1-nar",
            # FastConformer / NeMo
            "fastconformer-ctc",
            # Lightweight / on-device
            "wav2vec2",
            "moonshine",
            "moonshine-streaming",
            # 1600+-language
            "omniasr",
            # Chinese / dialect
            "firered-asr",
            "glm-asr",
            "kyutai-stt",
            "mimo-asr",
            # Diarization
            "vibevoice",
            # USM-encoder + Gemma decoder
            "gemma4-e2b",
        ],
        "context_limits": {},
    },
    # ------------------------------------------------------------------
    # CrispASR-HTTP — remote OpenAI-compatible HTTP server. Works against
    # CrispASR's own C++ server (examples/server) or any wrapper. URL/key
    # live in CRISPASR_REMOTE_HTTP_{URL,KEY} env vars.
    # ------------------------------------------------------------------
    "CrispASR-HTTP": {
        "base_url": CRISPASR_REMOTE_HTTP_URL or None,
        "key_name": "CRISPASR_REMOTE_HTTP_KEY",
        "badge": "🛰️ <b>Remote (HTTP)</b>",
        "audio_models": [
            "parakeet",
            "whisper",
            "canary",
            "cohere",
            "qwen3",
            "voxtral",
            "voxtral4b",
            "granite",
            "granite-4.1",
            "granite-4.1-plus",
            "granite-4.1-nar",
            "fastconformer-ctc",
            "wav2vec2",
            "moonshine",
            "moonshine-streaming",
            "omniasr",
            "firered-asr",
            "glm-asr",
            "kyutai-stt",
            "mimo-asr",
            "vibevoice",
            "gemma4-e2b",
        ],
        "context_limits": {},
    },
}

# ==========================================
# DEFAULTS
# ==========================================
DEFAULT_CHAT_PROVIDER = "Mistral"
DEFAULT_CHAT_MODEL = "mistral-large-latest"

# ==========================================
# YOUTUBE WHITELIST
# ==========================================
YOUTUBE_CHANNEL_WHITELIST = [
    # Format: Channel-Identifier (wird automatisch normalisiert)
    "AkademieKanal",  # /user/AkademieKanal
    "@theologisches-forum",  # /@theologisches-forum
    "grenzfragen",  # /grenzfragen
    # Wir können auch Channel-IDs verwenden (am sichersten):
    # "UCxyz123abc...",         # /channel/UCxyz123abc...
    # Weitere genehmigte Kanäle hier hinzufügen
]
# ==========================================
# PROMPT TEMPLATES
# ==========================================
TRANSCRIPT_PROMPTS = {
    "Veranstaltungsrückblick": """Schreibe auf der Grundlage dieses automatisch erstellten Transkripts einen professionellen Veranstaltungsrückblick für unsere Website.

Berücksichtige dabei:
- Hauptthemen und Kernaussagen
- Wichtige Diskussionspunkte
- Atmosphäre und Teilnehmerfeedback (falls erwähnt)
- Schlussfolgerungen und Ausblicke

Transkript:
{transcript}

Zusätzliche Hinweise:
{notes}""",
    "Zusammenfassung": """Erstelle eine prägnante Zusammenfassung dieses Transkripts.

Gliedere nach:
1. Hauptthema und Zielsetzung
2. Kernaussagen (3-5 Punkte)
3. Wichtigste Erkenntnisse
4. Offene Fragen oder Ausblick

Transkript:
{transcript}

Zusätzliche Hinweise:
{notes}""",
    "Pressemitteilung": """Verfasse eine Pressemitteilung basierend auf diesem Veranstaltungstranskript.

Die Pressemitteilung sollte:
- Einen aufmerksamkeitsstarken Titel haben
- Die 5 W-Fragen beantworten (Wer, Was, Wann, Wo, Warum)
- Zitate von Rednern einbinden
- Maximal 300 Wörter umfassen

Transkript:
{transcript}

Zusätzliche Hinweise:
{notes}""",
    "Social Media Posts": """Erstelle 3 verschiedene Social Media Posts basierend auf diesem Transkript:

1. LinkedIn Post (professionell, 150 Wörter)
2. Twitter/X Thread (3-4 Tweets)
3. Instagram Caption (ansprechend, mit Emojis)

Transkript:
{transcript}

Zusätzliche Hinweise:
{notes}""",
    "Protokoll": """Erstelle ein formelles Protokoll dieser Veranstaltung basierend auf dem Transkript.

Struktur:
1. Datum, Ort, Teilnehmer
2. Tagesordnung/Themen
3. Diskussionspunkte und Beschlüsse
4. Offene Aufgaben und Verantwortliche
5. Nächste Schritte

Transkript:
{transcript}

Zusätzliche Hinweise:
{notes}""",
    "FAQ Generierung": """Analysiere dieses Transkript und erstelle daraus eine FAQ-Liste mit 8-10 häufig gestellten Fragen und detaillierten Antworten.

Die FAQs sollten:
- Klar und verständlich formuliert sein
- Die wichtigsten Informationen abdecken
- Für Website-Besucher nützlich sein

Transkript:
{transcript}

Zusätzliche Hinweise:
{notes}""",
    "Zitate-Sammlung": """Extrahiere die wichtigsten und aussagekräftigsten Zitate aus diesem Transkript.

Für jedes Zitat gib an:
- Sprecher (falls bekannt)
- Kontext
- Warum dieses Zitat bedeutsam ist

Transkript:
{transcript}

Zusätzliche Hinweise:
{notes}""",
    "Blogbeitrag": """Schreibe einen ansprechenden Blogbeitrag basierend auf diesem Veranstaltungstranskript.

Der Blogbeitrag sollte:
- Einen einladenden Einstieg haben
- Die Hauptinhalte verständlich aufbereiten
- Persönliche Eindrücke einbinden
- Mit einem Call-to-Action enden
- Ca. 500-800 Wörter umfassen

Transkript:
{transcript}

Zusätzliche Hinweise:
{notes}""",
    "Eigener Prompt": """{transcript}

{notes}""",
}

# ==========================================
# UI CONSTANTS
# ==========================================
# Pure Metadata - No text manipulation scripts
PWA_HEAD = r"""
<!-- PWA meta tags -->
<meta name="apple-mobile-web-app-capable" content="yes">
<meta name="mobile-web-app-capable" content="yes">
<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no">
<meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
<meta name="theme-color" content="#ffffff">

<!-- PWA manifest and icons -->
<link rel="manifest" href="/file=/var/www/transkript_app/static/manifest.json">
<link rel="apple-touch-icon" href="/file=/var/www/transkript_app/static/icon-192.png">
"""

PWA_SCRIPT = r"""
<script>
console.debug('🚀 PWA_SCRIPT LOADED - Starting mobile text hiding');

// Declared before hideMobileText so the function can reference it
let observer = null;
let _observerTimer = null;
let _isHiding = false;  // re-entrancy guard

function _startObserving() {
    if (observer && document.body) {
        observer.observe(document.body, { childList: true, subtree: true });
    }
}

// Mobile Text Hiding Script
function hideMobileText() {
    // Re-entrancy guard: prevent concurrent/recursive calls
    if (_isHiding) return;
    _isHiding = true;

    // Disconnect observer BEFORE touching the DOM.
    // Without this, every btn.textContent = ... triggers Svelte's reactive update,
    // which re-adds the button, which fires the observer again → infinite loop
    // (Svelte 5 effect_update_depth_exceeded).
    if (observer) observer.disconnect();

    try {
        const width = window.innerWidth;
        console.debug('🎯 hideMobileText called, width:', width);

        if (width <= 768) {
            // ============================================
            // TABS: Show only first character
            // ============================================
            const selectors = [
                '.icon-nav .tab-nav > button',
                '.icon-nav .tab-nav button',
                '.tabs button',
                '[role="tablist"] button'
            ];

            selectors.forEach(selector => {
                document.querySelectorAll(selector).forEach(btn => {
                    if (btn.hasAttribute('aria-expanded')) return;
                    if (btn.closest('.accordion') || btn.closest('[class*="ccordion"]') || btn.closest('.label-wrap')) return;
                    if (!btn.hasAttribute('data-original-text')) {
                        const text = btn.textContent.trim();
                        if (text && text.length > 1) {
                            btn.textContent = Array.from(text)[0];
                            btn.setAttribute('data-original-text', text);
                            btn.style.fontSize = '1.3rem';
                        }
                    }
                });
            });

            // ============================================
            // ACTION BUTTONS: Show only emoji
            // ============================================
            const actionSelectors = ['#btn-send', '.mobile-icon-only', '.btn-secondary'];
            actionSelectors.forEach(selector => {
                document.querySelectorAll(selector).forEach(btn => {
                    if (btn.hasAttribute('aria-expanded') || btn.closest('[class*="ccordion"]')) return;
                    if (!btn.hasAttribute('data-original-text')) {
                        const text = btn.textContent.trim();
                        if (text && text.length > 1) {
                            btn.textContent = Array.from(text)[0];
                            btn.setAttribute('data-original-text', text);
                            btn.style.fontSize = '1.2rem';
                        }
                    }
                });
            });

        } else {
            // Desktop: restore original text
            document.querySelectorAll('[data-original-text]').forEach(btn => {
                const original = btn.getAttribute('data-original-text');
                if (original) {
                    btn.textContent = original;
                    btn.removeAttribute('data-original-text');
                    btn.style.fontSize = '';
                }
            });
            console.debug('✅ hideMobileText completed\n\n');
        }
    } finally {
        _isHiding = false;
        // Reconnect after 600 ms — gives Svelte time to finish its reactive flush
        // before we start watching again, preventing the feedback loop.
        setTimeout(_startObserving, 600);
    }
}

// IMMEDIATE RUN
hideMobileText();

// DOM READY
if (document.readyState === 'loading') {
    document.addEventListener('DOMContentLoaded', hideMobileText);
} else {
    hideMobileText();
}

// RESIZE
let resizeTimer;
window.addEventListener('resize', () => {
    clearTimeout(resizeTimer);
    resizeTimer = setTimeout(hideMobileText, 200);
});

// MUTATION OBSERVER — assigned to `observer` (let, declared above)
observer = new MutationObserver((mutations) => {
    let hasNewButtons = false;
    for (const mutation of mutations) {
        for (const node of mutation.addedNodes) {
            if (node.nodeType === 1 && (node.tagName === 'BUTTON' || node.querySelector('button'))) {
                hasNewButtons = true;
                break;
            }
        }
        if (hasNewButtons) break;
    }
    if (hasNewButtons) {
        console.debug('🆕 New buttons detected by observer');
        // Debounce: cancel any pending call, schedule a fresh one
        clearTimeout(_observerTimer);
        _observerTimer = setTimeout(hideMobileText, 300);
    }
});

if (document.body) {
    _startObserving();
} else {
    document.addEventListener('DOMContentLoaded', _startObserving);
}

// DELAYED RUNS (initial page load)
[500, 1000, 2000, 3000].forEach(delay => setTimeout(hideMobileText, delay));

console.debug('🏁 PWA_SCRIPT setup complete');
</script>
"""

CUSTOM_CSS = """
/* ==========================================
   ACCORDION COMPACTING
   ========================================== */

.block:has(> .label-wrap) {
    padding: 0 !important;
    margin-bottom: 0 !important;
    border: none !important;
    overflow: hidden !important;
}

.block > .label-wrap {
    padding: 0px 8px !important;
    margin: 0 !important;
    min-height: 32px !important;
    height: 32px !important;
    display: flex !important;
    align-items: center !important;
    background-color: transparent !important;
    border: none !important;
}

.block > .label-wrap > span {
    margin: 0 !important;
    padding: 0 !important;
    font-size: 0.9rem !important;
}

.block > .label-wrap .icon {
    margin: 0 !important;
    transform: scale(0.8);
}

/* ==========================================
   HEADER ALIGNMENT
   ========================================== */

#user-status-row {
    justify-content: flex-end !important;
    text-align: right !important;
    padding-right: 10px !important;
}

/* ==========================================
   DESKTOP TWEAKS
   ========================================== */

label span {
    font-size: 0.85rem !important;
    font-weight: 600 !important;
    margin-bottom: 2px !important;
    opacity: 1 !important;
}

/* ==========================================
   BADGE STYLING
   ========================================== */

.badge-col .prose {
    border: none !important;
    background: transparent !important;
    padding: 0 !important;
    margin: 0 !important;
    box-shadow: none !important;
}

.badge-col {
    border: none !important;
    box-shadow: none !important;
    background: transparent !important;
}

.custom-badge {
    font-family: "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji", Arial, sans-serif !important;
    font-size: 0.85rem !important;
    line-height: 1.2 !important;
    white-space: nowrap !important;
    background: #ffffff !important;
    color: #000000 !important;
    border: 1px solid #e5e7eb;
    border-radius: 8px;
    padding: 0 10px;
    text-align: center;
    height: 42px;
    display: flex;
    align-items: center;
    justify-content: center;
    box-shadow: 0 1px 2px 0 rgba(0, 0, 0, 0.05);
    font-variant-emoji: emoji;
    -webkit-font-smoothing: antialiased;
}

.compact-row {
    gap: 8px !important;
    align-items: end !important;
}

.compact-row .form {
    border: none !important;
    background: transparent !important;
}

/* ==========================================
   EXPORT DROPDOWN: icon-only when closed
   ========================================== */

/* Clip the selected-value display to just the leading emoji */
#chat_dl_format .wrap-inner,
#chat_dl_format [class*="wrap-inner"] {
    max-width: 44px !important;
    overflow: hidden !important;
}

/* Keep the dropdown list (open state) readable at full width */
#chat_dl_format .options,
#chat_dl_format [class*="options"],
#chat_dl_format ul {
    min-width: 130px !important;
    max-width: none !important;
    overflow: visible !important;
}

/* ==========================================
   MOBILE RESPONSIVE (< 768px)
   ========================================== */

@media (max-width: 768px) {

    /* ===================================
       GLOBAL SPACING REDUCTION
       =================================== */

    .gradio-container {
        padding: 0 !important;
        margin: 0 !important;
        width: 100vw !important;
        max-width: 100vw !important;
        overflow-x: hidden !important;
    }

    .contain {
        padding-left: 0 !important;
        padding-right: 0 !important;
    }

    .gr-row {
        gap: 4px !important;
        margin: 2px 0 !important;
    }

    .gr-column {
        gap: 4px !important;
        padding: 2px !important;
    }

    /* ===================================
       COMPACT HEADER - FORCE SINGLE ROW
       =================================== */

    .compact-header {
        display: flex !important;
        flex-direction: row !important;
        flex-wrap: nowrap !important;
        align-items: center !important;
        gap: 6px !important;
        padding: 4px 8px !important;
        min-height: 40px !important;
    }

    .compact-header > div:nth-child(1) {
        flex: 0 1 auto !important;
        min-width: 60px !important;
    }

    .compact-header > div:nth-child(2) {
        flex: 1 1 auto !important;
        min-width: 40px !important;
    }

    .compact-header > div:nth-child(3) {
        flex: 0 0 50px !important;
        min-width: 50px !important;
        max-width: 50px !important;
    }

    .compact-header h3,
    .compact-header .markdown h3 {
        margin: 0 !important;
        font-size: 1.1rem !important;
        line-height: 1.2 !important;
    }

    /* ===================================
       TAB STYLING (JavaScript handles text removal)
       REDUCED SIZE TO FIT IN ROW
       =================================== */

    .icon-nav > .tab-nav > button,
    .icon-nav .tab-nav button {
        padding: 6px 4px !important;
        min-width: 44px !important;
        height: 42px !important;  /* Reduced from 50px */
        flex: 1 !important;
        font-size: 1.3rem !important; /* Reduced from 1.5rem */
        display: flex !important;
        align-items: center !important;
        justify-content: center !important;
        line-height: 1 !important;
    }

    .icon-nav > .tab-nav > button.selected {
        border-bottom: 3px solid #2563eb !important;
        background: #f3f4f6 !important;
    }

    .dark .icon-nav > .tab-nav > button.selected {
        background: #374151 !important;
    }

    /* ===================================
       ACTION BUTTON STYLING (JavaScript handles text removal)
       =================================== */

    .mobile-icon-only,
    #btn-send,
    .btn-secondary {
        min-width: 44px !important;
        width: 44px !important;
        padding: 8px !important;
        font-size: 1.2rem !important;
        display: flex !important;
        align-items: center !important;
        justify-content: center !important;
    }

    #btn-send {
        background-color: #2563eb !important;
        color: white !important;
    }

    /* ===================================
       ACCORDION OVERRIDE - KEEP FULL TEXT
       Maximum specificity - must override tab/button rules
       =================================== */

    div.gr-accordion,
    .gr-accordion {
        font-size: 1rem !important;
    }

    div.gr-accordion > button,
    div.gr-accordion button,
    .gr-accordion > button,
    .gr-accordion button,
    button[aria-expanded="true"],
    button[aria-expanded="false"] {
        font-size: 1rem !important;
        width: 100% !important;
        min-width: 100% !important;
        padding: 10px 12px !important;
        min-height: 44px !important;
        white-space: normal !important;
        display: flex !important;
        align-items: center !important;
        justify-content: space-between !important;
    }

    div.gr-accordion span,
    div.gr-accordion > button span,
    div.gr-accordion button span,
    div.gr-accordion .label-wrap span,
    .gr-accordion span,
    .gr-accordion > button span,
    .gr-accordion button span,
    .gr-accordion .label-wrap span,
    button[aria-expanded] span {
        font-size: 1rem !important;
        visibility: visible !important;
        display: inline-block !important;
        opacity: 1 !important;
        width: auto !important;
        height: auto !important;
        overflow: visible !important;
    }

    div.gr-accordion .icon,
    .gr-accordion .icon,
    button[aria-expanded] .icon {
        display: inline-block !important;
        visibility: visible !important;
        font-size: 1rem !important;
        margin-left: auto !important;
    }

    /* ===================================
       SELECTIVE ROW STACKING
       =================================== */

    .gr-row:not(.compact-header):not(.compact-row) {
        flex-direction: column !important;
    }

    .compact-row {
        flex-direction: row !important;
        flex-wrap: nowrap !important;
        gap: 5px !important;
    }

    /* ===================================
       CHAT OPTIMIZATION
       =================================== */

    #chat_window {
        height: 60vh !important;
        max-height: 60vh !important;
        margin: 0 !important;
        padding: 4px !important;
    }

    /* ===================================
       FORM ELEMENTS COMPACT
       =================================== */

    input, textarea, select {
        padding: 6px 8px !important;
        font-size: 14px !important;
    }

    label {
        margin-bottom: 2px !important;
        font-size: 13px !important;
    }

    /* ===================================
       BADGE COMPACT
       =================================== */

    .custom-badge {
        font-size: 0.7rem !important;
        padding: 2px 6px !important;
        height: 32px !important;
    }

    /* ===================================
       HIDE FOOTER
       =================================== */

    footer,
    .footer,
    .gradio-container footer {
        display: none !important;
    }
}

/* ==========================================
   VERY SMALL SCREENS (< 400px)
   ========================================== */

@media (max-width: 400px) {
    .gr-row {
        gap: 2px !important;
    }

    .mobile-icon-only {
        min-width: 40px !important;
        width: 40px !important;
        height: 40px !important;
    }

    .icon-nav > .tab-nav > button {
        min-width: 40px !important;
        height: 38px !important;
        padding: 4px 2px !important;
        font-size: 1.1rem !important; /* Even smaller on tiny screens */
    }

    .custom-badge {
        font-size: 0.65rem !important;
        padding: 2px 4px !important;
        height: 28px !important;
    }

    .compact-header > div:nth-child(1) {
        min-width: 50px !important;
    }

    div.gr-accordion button,
    .gr-accordion button,
    button[aria-expanded] {
        font-size: 0.95rem !important;
        padding: 8px 10px !important;
    }
}
"""

PWA_HEAD = PWA_HEAD + PWA_SCRIPT

SENSITIVE_FILE_WARNING = """
⚠️ **DATENSCHUTZ-WARNUNG**

**Bitte KEINE der folgenden Dateien hochladen:**
- ❌ Personalakten oder Bewerbungen
- ❌ Seelsorge-Protokolle oder Beichtgespräche
- ❌ Medizinische Unterlagen
- ❌ Dokumente mit Gesundheitsdaten
- ❌ Interne strategische Dokumente (Verschlusssachen)
- ❌ Passwörter oder Zugangsdaten

**Art. 9 DS-GVO:** Besondere Kategorien (Religion, Gesundheit) sind besonders zu schützen!

✅ **Erlaubt:** Öffentliche Texte, anonymisierte Daten, allgemeine Fachliteratur
"""