Topic drift reminders and nudges now direct users to a specific
channel (configurable via redirect_channel). Both static templates
and LLM-generated redirects include the clickable channel mention.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Changed if to elif so detected_game redirect only fires when
the topic_drift branch wasn't taken.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Fix dirty-user flush race: discard IDs individually after successful save
- Escape LIKE wildcards in LLM-generated topic keywords for DB queries
- Anonymize absent-member aliases to prevent LLM de-anonymization
- Pass correct MIME type to vision model based on image file extension
- Use enumerate instead of list.index() in bcs-scan loop
- Allow bot @mentions with non-report intent to fall through to moderation
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Warning flag now auto-expires after a configurable duration
(warning_expiration_minutes, default 30m). After expiry, the user must
be re-warned before a mute can be issued.
Messages that triggered moderation actions (warnings/mutes) are now
excluded from the LLM context window in both buffered analysis and
mention scans, preventing already-actioned content from influencing
future scoring. Uses in-memory tracking plus bot reaction fallback
for post-restart coverage.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- LLM now evaluates messages against numbered server rules and reports
violated_rules in analysis output
- Warnings and mutes cite the specific rule(s) broken
- Rules extracted to prompts/rules.txt for prompt injection
- Personality prompts moved to prompts/personalities/ and compressed
(~63% reduction across all prompt files)
- All prompt files tightened: removed redundancy, consolidated Do NOT
sections, trimmed examples while preserving behavioral instructions
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace static random templates with LLM-generated redirect messages that
reference what the user actually said and why it's off-topic. Sass escalates
with higher strike counts. Falls back to static templates if LLM fails or
use_llm is disabled in config.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The LLM returns note_update, reasoning, and worst_message with
anonymized names. These are now replaced with real display names
before storage, so user profiles no longer contain meaningless
User1/User2 references.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Aliases now stored in UserState table instead of config.yaml. Adds
Aliases column (NVARCHAR 500), loads on startup, persists via flush.
New /bcs-alias slash command (view/set/clear) for managing nicknames.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Adds user_aliases config section mapping Discord IDs to known nicknames.
Aliases are anonymized and injected into LLM analysis context so it can
recognize when someone name-drops another member (even absent ones).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Adds LLM triage on bot @mentions to determine if the user is chatting
or reporting bad behavior. Only 'report' intents trigger the 30-message
scan; 'chat' intents skip the scan and let ChatCog handle it.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Display names like "Calm your tits" were causing the LLM to inflate toxicity
scores on completely benign messages. Usernames are now replaced with User1,
User2, etc. before sending to the LLM, then mapped back to real names in the
results.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Convert cogs/sentiment.py (1050 lines) into cogs/sentiment/ package:
- __init__.py (656 lines): core SentimentCog with new _process_finding()
that deduplicates the per-user finding loop from _process_buffered and
_run_mention_scan (~90 lines each → single shared method)
- actions.py: mute_user, warn_user
- topic_drift.py: handle_topic_drift
- channel_redirect.py: handle_channel_redirect, build_channel_context
- coherence.py: handle_coherence_alert
- log_utils.py: log_analysis, log_action, score_color
- state.py: save_user_state, flush_dirty_states
All extracted modules use plain async functions (not methods) receiving
bot/config as parameters. Named log_utils.py to avoid shadowing stdlib
logging. Also update CLAUDE.md with comprehensive project documentation.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
