forked from CameronJGrant/telegram-scam-baiter
51 lines
1.7 KiB
Plaintext
51 lines
1.7 KiB
Plaintext
# Telegram API credentials (get from https://my.telegram.org)
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TG_API_ID=123456
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TG_API_HASH=your_api_hash_here
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# Telethon session file prefix (actual file will be <prefix>.session)
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# In Docker/K8s you can set this to /data/telethon_session to persist it.
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TG_SESSION=telethon_session
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# Target selection — choose ONE of these (leave others blank/zero)
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# 1) Public username WITHOUT the leading @
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TARGET_USERNAME=
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# 2) Numeric Telegram user ID (if they have no username)
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TARGET_USER_ID=0
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# 3) Display name the person set for themselves (case-insensitive; exact or partial match)
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TARGET_DISPLAY_NAME=
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# Cache file where the resolved numeric ID will be stored for future runs
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TARGET_CACHE_FILE=target_id.txt
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# OpenAI configuration
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OPENAI_API_KEY=your_openai_api_key_here
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# Any chat-capable model you prefer
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OPENAI_MODEL=gpt-4o-mini
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# Human-like delay between replies (seconds)
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MIN_DELAY_SEC=25
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MAX_DELAY_SEC=75
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# History persistence
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HISTORY_FILE=chat_history.jsonl
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# Rough token budget for history passed to the model
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MAX_TOKENS_HISTORY=2200
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# Hard cap on number of messages kept in history
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MAX_MESSAGES_HISTORY=30
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# Optional opener (disabled by default).
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# When enabled, the opener is sent only on a fresh start (no history),
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# when a target is already resolved, and no catch-up reply was sent.
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AUTO_OPENER_ENABLED=false
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OPENER_TEXT=
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# Typing simulation (show "typing..." before sending)
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# Enable/disable typing indicator and tune how long it appears based on message length.
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TYPING_SIM_ENABLED=true
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# Approximate words per minute used to estimate typing duration (5 chars ≈ 1 word)
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TYPING_WPM=22
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# Clamp the simulated typing duration to this range (in seconds)
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TYPING_MIN_SEC=2.0
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TYPING_MAX_SEC=18.0
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# Optional: ensure unbuffered logs in some environments
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PYTHONUNBUFFERED=1 |