# ============================================
# TELEGRAM BOT CONFIGURATION
# ============================================

# Telegram Bot Token
# Get it from BotFather: https://t.me/botfather
BOT_TOKEN=your_bot_token_here

# Creator ID
# Your Telegram user ID - the bot will recognize you as creator
# To get your ID: send /id command to the bot and use the "from id" value
CREATOR_ID=your_user_id_here

# Database connection
# Leave empty for local SQLite in ~/.local/share/tg-chat-bot/database.db.
# Set DATA_PATH=data if you want to keep files inside the repo.
# Set to postgres://... for PostgreSQL.
# Set to :memory: for ephemeral in-memory SQLite.
DATABASE_URL=
DATA_PATH=

# Docker Compose image tag override
# Used by docker-compose.yml when pulling ghcr.io/melod1n/tg-chat-bot
IMAGE_TAG=1.0.0

# ============================================
# BOT SETTINGS (Optional)
# ============================================

# Bot Prefix for commands
BOT_PREFIX=

# Whitelist of chat IDs (comma-separated)
# Example: 123456789,987654321
CHAT_IDS_WHITELIST=

# Test environment mode
TEST_ENVIRONMENT=false

# Only creator can use bot
ONLY_FOR_CREATOR_MODE=false

# Use user names in AI prompts
USE_NAMES_IN_PROMPT=true

# Disable all built-in local tools and keep only MCP tools
DISABLE_LOCAL_TOOLS=false

# Custom system prompt for AI (or put it into data/SYSTEM_PROMPT.md)
SYSTEM_PROMPT=

# Tool ranker fallback policy:
# MAIN_MODEL - rank tools through the provider's chat model if a dedicated ranker target is missing or fails
# ALL_TOOLS - skip ranker fallback and allow all tools
# NO_TOOLS - skip ranker fallback and allow no tools
TOOL_RANKER_FALLBACK_POLICY=ALL_TOOLS

# Maximum photo size in pixels
MAX_PHOTO_SIZE=1280

# Directory with localization JSON files
LOCALES_DIR=locales

# ============================================
# AI MODELS CONFIGURATION (Optional)
# ============================================

# Mistral AI
MISTRAL_API_KEY=
MISTRAL_MODEL=mistral-small-latest
MISTRAL_TRANSCRIPTION_MODEL=voxtral-mini-latest
MISTRAL_TTS_MODEL=
MISTRAL_TTS_VOICE_ID=
MISTRAL_MAX_CONCURRENT_REQUESTS=3

# Ollama (Local AI Model)
OLLAMA_ADDRESS=
OLLAMA_CHAT_MODEL=
OLLAMA_IMAGE_MODEL=
OLLAMA_THINK_MODEL=
OLLAMA_AUDIO_MODEL=gemma4:e2b
OLLAMA_API_KEY=
OLLAMA_EMBEDDING_MODEL=nomic-embed-text
OLLAMA_RAG_CHUNK_SIZE=1400
OLLAMA_RAG_CHUNK_OVERLAP=220
OLLAMA_RAG_TOP_K=8
OLLAMA_RAG_MAX_CONTEXT_CHARS=14000
OLLAMA_RAG_MIN_SCORE=0.12
OLLAMA_RAG_MAX_ARCHIVE_FILES=200
OLLAMA_RAG_MAX_ARCHIVE_BYTES=52428800
OLLAMA_RAG_MAX_ARCHIVE_DEPTH=2
OLLAMA_MAX_CONCURRENT_REQUESTS=1

# OpenAI
OPENAI_API_KEY=
OPENAI_BASE_URL=
OPENAI_MODEL=gpt-4.1-nano
OPENAI_IMAGE_MODEL=gpt-image-1-mini
OPENAI_TRANSCRIPTION_MODEL=gpt-4o-mini-transcribe
OPENAI_TTS_MODEL=gpt-4o-mini-tts
OPENAI_TTS_VOICE=alloy
OPENAI_TTS_INSTRUCTIONS=
OPENAI_MAX_CONCURRENT_REQUESTS=3

# MCP servers
# JSON array or {"mcpServers": {"name": {...}}}
# Stdio example:
# MCP_SERVERS=[{"name":"local-tools","transport":"stdio","command":"node","args":["./mcp-server.js"]}]
# HTTP example:
# MCP_SERVERS=[{"name":"remote-tools","transport":"http","url":"https://example.com/mcp"}]
MCP_SERVERS=

# Per-capability AI endpoint overrides
# Pattern:
# <PROVIDER>_<CAPABILITY>_MODEL=
# <PROVIDER>_<CAPABILITY>_BASE_URL=
# <PROVIDER>_<CAPABILITY>_API_KEY=
#
# Providers: OLLAMA, MISTRAL, OPENAI
# Capabilities: CHAT, VISION, OCR, THINKING, EXTENDED_THINKING, TOOLS, AUDIO,
# DOCUMENTS, OUTPUT_IMAGES, SPEECH_TO_TEXT, TEXT_TO_SPEECH
# Endpoint aliases are also supported: *_ENDPOINT and *_ADDRESS.
# Provider-wide fallback endpoints: OPENAI_BASE_URL, MISTRAL_BASE_URL,
# OLLAMA_ADDRESS or OLLAMA_BASE_URL.
# Capability aliases are also supported: IMAGE, THINK, RAG, EMBEDDING,
# TRANSCRIPTION, STT, TTS.
#
# Examples:
# OPENAI_SPEECH_TO_TEXT_MODEL=gpt-4o-mini-transcribe
# OPENAI_SPEECH_TO_TEXT_BASE_URL=https://api.openai.com/v1
# OPENAI_SPEECH_TO_TEXT_API_KEY=
# MISTRAL_TTS_BASE_URL=
# OLLAMA_DOCUMENTS_ADDRESS=http://localhost:11434