# Autonomous V2 Implementation Complete! ✅

## What Changed

### ✅ Files Modified

1. **`utils/autonomous.py`** (previously `utils/autonomous_v2.py`)
   - Now the main autonomous system
   - Uses context-aware decision engine
   - Imports legacy functions from `autonomous_v1_legacy.py`

2. **`utils/autonomous_v1_legacy.py`** (previously `utils/autonomous.py`)
   - Old autonomous system preserved as backup
   - Contains all the implementation functions (still used by V2)

3. **`utils/autonomous_engine.py`** (NEW)
   - Core decision engine
   - Tracks context signals (messages, presence, activities)
   - Makes intelligent decisions without LLM calls
   - Mood-aware personality profiles

4. **`bot.py`**
   - Added `initialize_v2_system()` call in `on_ready()`
   - Added `on_message_event()` hook to track every message
   - Added `on_presence_update()` event handler
   - Added `on_member_join()` event handler
   - Removed old autonomous reaction code (now handled by V2)

5. **`server_manager.py`**
   - Updated `_run_autonomous_for_server()` to use V2 tick
   - Updated `_run_autonomous_reaction_for_server()` to use V2 tick
   - Removed conversation detection scheduler (now event-driven)

6. **`utils/moods.py`**
   - Added `on_mood_change()` notifications in `rotate_server_mood()`
   - Added mood change notification in wake-up handler

7. **`api.py`**
   - Added mood change notifications to all mood-setting endpoints
   - Updated `/servers/{guild_id}/mood`, `/servers/{guild_id}/mood/reset`, `/test/mood/{guild_id}`

---

## How It Works Now

### Event-Driven Architecture

**Before V1:**
```
Timer (every 15 min) → 10% random chance → Action
```

**After V2:**
```
Message arrives → Track context → Check thresholds → Intelligent decision → Action
```

### Context Tracking (No LLM!)

Every message/event updates lightweight signals:
- Message count (last 5 min, last hour)
- Conversation momentum (0-1 scale)
- User presence events (status changes, activities)
- Time since last action
- Current mood profile

### Decision Logic

Checks in priority order:
1. **Join Conversation** - High momentum + social mood
2. **Engage User** - Someone started interesting activity
3. **FOMO Response** - Lots of messages without Miku
4. **Break Silence** - Channel quiet + energetic mood
5. **Share Tweet** - Quiet period + appropriate mood
6. **React to Message** - Mood-based probability

### Mood Influence

Each mood has personality traits that affect decisions:
- **Energy**: How quickly Miku breaks silence
- **Sociability**: How easily she joins conversations
- **Impulsiveness**: How quickly she reacts to events

Examples:
- **Bubbly** (0.9 energy, 0.95 sociability): Joins after 5 messages, breaks 30 min silence
- **Shy** (0.4 energy, 0.2 sociability): Waits for 40+ messages, tolerates 50 min silence
- **Asleep** (0.0 all): Does nothing at all

---

## Testing Checklist

### ✅ Syntax Checks Passed
- `autonomous_engine.py` ✅
- `autonomous.py` ✅
- `bot.py` ✅
- `server_manager.py` ✅

### 🔄 Runtime Testing Needed

1. **Start the bot** - Check for initialization messages:
   ```
   🚀 Initializing Autonomous V2 System...
   ✅ Autonomous V2 System initialized
   ```

2. **Send some messages** - Watch for context tracking:
   ```
   (No output expected - tracking is silent)
   ```

3. **Wait for autonomous action** - Look for V2 decisions:
   ```
   🤖 [V2] Autonomous engine decided to: join_conversation for server 123456
   ✅ [V2] Autonomous tick queued for server 123456
   ```

4. **Change mood via API** - Verify mood change notification:
   ```
   🎭 API: Server mood set result: True
   (Should see mood notification to autonomous engine)
   ```

5. **Monitor reactions** - New messages should trigger real-time reaction checks:
   ```
   🎯 [V2] Real-time reaction triggered for message from User
   ```

---

## Rollback Plan (If Needed)

If V2 causes issues:

1. **Rename files back:**
   ```bash
   cd /home/koko210Serve/docker/ollama-discord/bot/utils
   mv autonomous.py autonomous_v2_broken.py
   mv autonomous_v1_legacy.py autonomous.py
   ```

2. **Revert bot.py changes:**
   - Remove V2 imports and event handlers
   - Restore old autonomous reaction code

3. **Revert server_manager.py:**
   - Change back to `miku_autonomous_tick_for_server`
   - Restore conversation detection scheduler

4. **Restart bot**

---

## Performance Notes

### Resource Usage
- **Zero LLM calls for decisions** - Only simple math on tracked metrics
- **Lightweight tracking** - No message content stored, just counts and timestamps
- **Efficient** - Event-driven, only acts when contextually appropriate

### Expected Behavior Changes
- **More natural timing** - Won't interrupt active conversations
- **Mood-consistent** - Bubbly Miku is chatty, shy Miku is reserved
- **Better engagement** - Responds to user activities, not just timers
- **Context-aware reactions** - More likely to react in active chats

---

## Next Steps

1. **Monitor logs** for first 24 hours
2. **Tune thresholds** if needed (in `autonomous_engine.py`)
3. **Collect feedback** on behavior naturalness
4. **Consider future enhancements:**
   - Topic detection
   - User affinity tracking
   - Time-of-day learning
   - Sentiment signals

---

## Documentation

- **Decision Logic**: See `AUTONOMOUS_V2_DECISION_LOGIC.md` for detailed examples
- **Comparison**: See `AUTONOMOUS_V2_COMPARISON.md` for V1 vs V2 diagrams
- **Migration Guide**: See `AUTONOMOUS_V2_MIGRATION.md` for implementation details

---

🎉 **The V2 system is ready to roll!** Start the bot and watch Miku become truly autonomous!
