Files
Breehavior-Monitor/cogs/sentiment/topic_drift.py
AJ Isaacs 0ff962c95e feat: generate topic drift redirects via LLM with full conversation context
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>
2026-02-27 15:28:36 -05:00

179 lines
6.2 KiB
Python

import asyncio
import logging
import random
import re
from collections import deque
from pathlib import Path
import discord
from cogs.sentiment.log_utils import log_action
from cogs.sentiment.state import save_user_state
logger = logging.getLogger("bcs.sentiment")
_PROMPTS_DIR = Path(__file__).resolve().parent.parent.parent / "prompts"
_TOPIC_REDIRECT_PROMPT = (_PROMPTS_DIR / "topic_redirect.txt").read_text(encoding="utf-8")
DEFAULT_TOPIC_REMINDS = [
"Hey {username}, this is a gaming server 🎮 — maybe take the personal stuff to DMs?",
"{username}, sir this is a gaming channel.",
"Hey {username}, I don't remember this being a therapy session. Gaming talk, please. 🎮",
"{username}, I'm gonna need you to take that energy to DMs. This channel has a vibe to protect.",
"Not to be dramatic {username}, but this is wildly off-topic. Back to gaming? 🎮",
]
DEFAULT_TOPIC_NUDGES = [
"{username}, we've been over this. Gaming. Channel. Please. 🎮",
"{username}, you keep drifting off-topic like it's a speedrun category. Reel it in.",
"Babe. {username}. The gaming channel. We talked about this. 😭",
"{username}, I will not ask again (I will definitely ask again). Stay on topic. 🎮",
"{username}, at this point I'm keeping score. That's off-topic strike {count}. Gaming talk only!",
"Look, {username}, I love the enthusiasm but this ain't the channel for it. Back to games. 🎮",
]
# Per-channel deque of recent LLM-generated redirect messages (for variety)
_recent_redirects: dict[int, deque] = {}
def _get_recent_redirects(channel_id: int) -> list[str]:
if channel_id in _recent_redirects:
return list(_recent_redirects[channel_id])
return []
def _record_redirect(channel_id: int, text: str):
if channel_id not in _recent_redirects:
_recent_redirects[channel_id] = deque(maxlen=5)
_recent_redirects[channel_id].append(text)
def _strip_brackets(text: str) -> str:
"""Strip leaked LLM metadata brackets (same approach as ChatCog)."""
segments = re.split(r"^\s*\[[^\]]*\]\s*$", text, flags=re.MULTILINE)
segments = [s.strip() for s in segments if s.strip()]
return segments[-1] if segments else ""
async def _generate_llm_redirect(
bot, message: discord.Message, topic_category: str,
topic_reasoning: str, count: int,
) -> str | None:
"""Ask the LLM chat model to generate a topic redirect message."""
recent = _get_recent_redirects(message.channel.id)
user_prompt = (
f"Username: {message.author.display_name}\n"
f"Channel: #{getattr(message.channel, 'name', 'unknown')}\n"
f"Off-topic category: {topic_category}\n"
f"Why it's off-topic: {topic_reasoning}\n"
f"Off-topic strike count: {count}\n"
f"What they said: {message.content[:300]}"
)
messages = [{"role": "user", "content": user_prompt}]
effective_prompt = _TOPIC_REDIRECT_PROMPT
if recent:
avoid_block = "\n".join(f"- {r}" for r in recent)
effective_prompt += (
"\n\nIMPORTANT — you recently sent these redirects in the same channel. "
"Do NOT repeat any of these. Be completely different.\n"
+ avoid_block
)
try:
response = await bot.llm_chat.chat(
messages, effective_prompt,
)
except Exception:
logger.exception("LLM topic redirect generation failed")
return None
if response:
response = _strip_brackets(response)
return response if response else None
def _static_fallback(bot, message: discord.Message, count: int) -> str:
"""Pick a static template message as fallback."""
messages_config = bot.config.get("messages", {})
if count >= 2:
pool = messages_config.get("topic_nudges", DEFAULT_TOPIC_NUDGES)
if isinstance(pool, str):
pool = [pool]
else:
pool = messages_config.get("topic_reminds", DEFAULT_TOPIC_REMINDS)
if isinstance(pool, str):
pool = [pool]
return random.choice(pool).format(
username=message.author.display_name, count=count,
)
async def handle_topic_drift(
bot, message: discord.Message, topic_category: str, topic_reasoning: str,
db_message_id: int | None, dirty_users: set[int],
):
config = bot.config.get("topic_drift", {})
if not config.get("enabled", True):
return
ignored = config.get("ignored_channels", [])
if message.channel.id in ignored or getattr(message.channel, "name", "") in ignored:
return
dry_run = bot.config.get("monitoring", {}).get("dry_run", False)
if dry_run:
return
tracker = bot.drama_tracker
user_id = message.author.id
cooldown = config.get("remind_cooldown_minutes", 10)
if not tracker.can_topic_remind(user_id, cooldown):
return
count = tracker.record_off_topic(user_id)
action_type = "topic_nudge" if count >= 2 else "topic_remind"
# Generate the redirect message
use_llm = config.get("use_llm", False)
redirect_text = None
if use_llm:
redirect_text = await _generate_llm_redirect(
bot, message, topic_category, topic_reasoning, count,
)
if redirect_text:
_record_redirect(message.channel.id, redirect_text)
else:
redirect_text = _static_fallback(bot, message, count)
await message.channel.send(redirect_text)
if action_type == "topic_nudge":
await log_action(
message.guild,
f"**TOPIC NUDGE** | {message.author.mention} | "
f"Off-topic count: {count} | Category: {topic_category}",
)
else:
await log_action(
message.guild,
f"**TOPIC REMIND** | {message.author.mention} | "
f"Category: {topic_category} | {topic_reasoning}",
)
logger.info("Topic %s for %s (count %d)", action_type.replace("topic_", ""), message.author, count)
asyncio.create_task(bot.db.save_action(
guild_id=message.guild.id, user_id=user_id,
username=message.author.display_name,
action_type=action_type, message_id=db_message_id,
details=f"off_topic_count={count} category={topic_category}"
+ (f" reasoning={topic_reasoning}" if action_type == "topic_remind" else ""),
))
save_user_state(bot, dirty_users, user_id)