# Telegram API credentials (get from https://my.telegram.org)
TG_API_ID=123456
TG_API_HASH=your_api_hash_here

# Telethon session file prefix (actual file will be <prefix>.session)
# In Docker/K8s you can set this to /data/telethon_session to persist it.
TG_SESSION=telethon_session

# Target selection — choose ONE of these (leave others blank/zero)
# 1) Public username WITHOUT the leading @
TARGET_USERNAME=
# 2) Numeric Telegram user ID (if they have no username)
TARGET_USER_ID=0
# 3) Display name the person set for themselves (case-insensitive; exact or partial match)
TARGET_DISPLAY_NAME=
# Cache file where the resolved numeric ID will be stored for future runs
TARGET_CACHE_FILE=target_id.txt

# OpenAI configuration
OPENAI_API_KEY=your_openai_api_key_here
# Any chat-capable model you prefer
OPENAI_MODEL=gpt-4o-mini

# Human-like delay between replies (seconds)
MIN_DELAY_SEC=25
MAX_DELAY_SEC=75

# History persistence
HISTORY_FILE=chat_history.jsonl
# Rough token budget for history passed to the model
MAX_TOKENS_HISTORY=2200
# Hard cap on number of messages kept in history
MAX_MESSAGES_HISTORY=30

# Optional opener (disabled by default).
# When enabled, the opener is sent only on a fresh start (no history),
# when a target is already resolved, and no catch-up reply was sent.
AUTO_OPENER_ENABLED=false
OPENER_TEXT=

# Typing simulation (show "typing..." before sending)
# Enable/disable typing indicator and tune how long it appears based on message length.
TYPING_SIM_ENABLED=true
# Approximate words per minute used to estimate typing duration (5 chars ≈ 1 word)
TYPING_WPM=22
# Clamp the simulated typing duration to this range (in seconds)
TYPING_MIN_SEC=2.0
TYPING_MAX_SEC=18.0

# Optional: ensure unbuffered logs in some environments
PYTHONUNBUFFERED=1