Oleksandr Kozachuk
58 lines
2.8 KiB
TOML
58 lines
2.8 KiB
TOML
openai-key = "OPENAIKEY"
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discord-token = "DISCORDTOKEN"
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model = "gpt-3.5-turbo"
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max-tokens = 1024
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temperature = 0.9
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top-p = 1.0
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presence-penalty = 1.0
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frequency-penalty = 1.0
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history-limit = 10
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welcome-channel = "welcome"
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staff-channel = "staff"
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join-message = "Hi! I am {name}, and I am new here."
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system = "You are a smart AI assistant with access to real-time video game information through IGDB. When users ask about games, game recommendations, release dates, platforms, or any gaming-related questions, you can search for accurate and up-to-date information. You can search for games by name and get detailed information including ratings, platforms, developers, genres, and summaries."
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# IGDB Configuration for game information
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igdb-client-id = "YOUR_IGDB_CLIENT_ID"
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igdb-access-token = "YOUR_IGDB_ACCESS_TOKEN"
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enable-game-info = true
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# --- operator / safety (SPEC-003, SPEC-006) ---
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# Model may route answers only to allowlisted channels; default = the
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# channels named in this config (chat/staff/welcome/additional-responders).
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# allowed-channels = ["chat", "staff"]
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# Regexes that force a staff alert regardless of the model's judgement:
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# staff-alert-keywords = ["(?i)hjelp|help|emergency"]
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# Staff-alert rate limit per rolling hour (excess alerts are logged):
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# staff-alert-max-per-hour = 10
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# Staff commands (staff channel only): !bot pause | resume | images on|off
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# | tasks on|off | quiet <minutes> | status
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# Cost governance (SPEC-003 SAF-04..07) — budget is a HARD cap, fail-closed:
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# daily-budget-usd = 2.0
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# price-input-per-m = 1.0 # USD per 1M input tokens (gpt-5.6-luna)
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# price-output-per-m = 6.0 # USD per 1M output tokens
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# price-per-image = 0.05
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# user-daily-messages = 200
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# user-daily-images = 10
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# Privacy (SAF-08/09): users can always run !forgetme and !privacy
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# privacy-notice = "I keep recent messages and a summary. !forgetme deletes yours."
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# Structured memory (SPEC-002) — active only when memory-model is set:
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# memory-model = "gpt-5.6-luna"
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# memory-consolidate-every = 20 # observations per consolidation batch
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# memory-episodes-per-channel = 10 # episode decay cap
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# memory-fact-retention-days = 180 # GDPR storage limitation
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# Staff: !bot memory <user> | forget-fact <id> | pin <channel|global> <fact> | unpin <id>
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# Human behavior (SPEC-010) — every knob unset = old behavior:
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# classifier-model = "gpt-5.6-luna" # reply/ignore + factual pre-pass (~100 tok)
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# typing-chars-per-second = 30 # reply pacing; factual answers skip it
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# typing-max-seconds = 8
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# split-threshold = 1200 # long answers split at paragraphs
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# split-max-parts = 3
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# quiet-hours = "21:00-09:00" # no bot-initiated posts in this window
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# Image generation (SPEC-004)
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# image-model = "gpt-image-2" # default; dall-e-3 gets clamped to n=1
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# image-size = "1024x1024"
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# image-quality = "medium" # passed through only when set
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