feat: RSO observation system, child safety, Discord adapter, Telegram watchdog, email attachments
Core agent improvements: - RSO (Relevance Scoring & Observation) system: interaction_logger, memory_scorer, signal_detector - Memory access logging (memory_access_log table) for relevance scoring; high-signal turn detection - Rich conversation storage for notable turns; compact_conversation truncates long user messages - Task-type classifier (query/action/analysis/creative) for observation tagging - Nested sub-agent visibility: deep delegations now register against the main agent's manager Child safety (Gabriel profile): - child_safety.py: filtering, audit logging, prompt constants for restricted sessions - .kiro/specs/child-safety-profile: requirements, design, tasks specs - GABRIEL_BOT_PROPOSAL.md: initial proposal doc - Reduced context window (10 msgs) and tutor-mode identity for restricted users Telegram adapter: - Polling watchdog: auto-restarts updater if polling drops unexpectedly - get_me() with exponential-backoff retry on NetworkError at startup - Correct stop() ordering: signal watchdog before cancelling tasks Email / Gmail: - send_email: supports file attachments (attachments list param) - get_email: surfaces attachment metadata in response Scheduled tasks / weather: - Remove OpenWeatherMap API calls from morning-weather task; use wttr.in exclusively - New scheduled tasks and scheduler state persistence Discord: - adapters/discord/__init__.py scaffold - discord-plugin: MCP plugin for Claude Code Discord integration (server.ts, skills, config) Infrastructure: - n8n workflow exports (garvis_webhook, content_pipeline variants) - memory_workspace: context, homelab-repo-updates, weekly observation summaries, error logs - UCS C240 migration plan doc - requirements.txt: new deps - .claude/settings.json, fix_hooks.py: hook/permission tuning
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SUB_AGENT_WATCHDOG_COMPLETE.md
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SUB_AGENT_WATCHDOG_COMPLETE.md
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# Sub-Agent Watchdog - COMPLETE IMPLEMENTATION
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## ✅ ALL FEATURES IMPLEMENTED
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### 1. SubAgentManager Class ([sub_agent_manager.py](sub_agent_manager.py))
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- **State Tracking**: Monitors sub-agent ID, task, start time, last activity
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- **Watchdog Thread**: Checks every 30s for hung agents (5min timeout)
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- **Auto-Cleanup**: Marks hung agents as failed
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- **Status API**: `get_status()` shows running/complete/hung agents
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### 2. Agent Integration ([agent.py](agent.py))
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```python
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# Import added
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from sub_agent_manager import SubAgentManager
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# Initialized in Agent.__init__
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self.sub_agent_manager = SubAgentManager(timeout_seconds=300)
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if not is_sub_agent:
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self.sub_agent_manager.start_watchdog()
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# Agent ID tracking
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self.agent_id: Optional[str] = None # Set for sub-agents
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```
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### 3. Sub-Agent Spawning ([agent.py:spawn_sub_agent](agent.py#L52))
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- Assigns unique `agent_id` to each sub-agent
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- Registers with SubAgentManager for monitoring
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- Caches specialists for reuse
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### 4. Activity Tracking ([agent.py:delegate](agent.py#L102))
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**Heartbeat Thread**: Updates activity every 10 seconds while sub-agent works
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```python
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def heartbeat():
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while running:
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self.sub_agent_manager.update_activity(retry_id)
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time.sleep(10)
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```
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### 5. Completion Tracking ([agent.py:delegate](agent.py#L102))
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- Marks success: `mark_complete(agent_id, result=response)`
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- Marks failure: `mark_complete(agent_id, error=str(e))`
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- Always executes in `finally` block
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### 6. Automatic Retry ([agent.py:delegate](agent.py#L102))
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**Retry Loop**: Up to `max_retries` attempts (default: 1)
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```python
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def delegate(task, ..., max_retries=1):
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for attempt in range(max_retries + 1):
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try:
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result = sub_agent.chat(task)
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mark_complete(success)
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return result
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except Exception:
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mark_complete(error)
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if attempt >= max_retries:
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raise # Final attempt failed
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# Otherwise retry
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```
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## How It Works
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### Normal Flow
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1. Main agent calls `delegate(task, prompt, agent_id="researcher")`
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2. SubAgentManager registers "researcher" with task description
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3. Heartbeat thread starts, updates activity every 10s
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4. Sub-agent processes task
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5. On completion, marks as complete with result
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6. Heartbeat stops
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### Hang Detection Flow
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1. Sub-agent stops making progress
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2. No activity updates for 5+ minutes
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3. Watchdog detects hang, calls `cleanup_agent()`
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4. Agent marked as failed with timeout error
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5. Delegate's retry loop catches exception
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6. Cleans up hung agent, retries task
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### Retry Flow
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```
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Attempt 1: researcher_r0 → hangs → cleanup → Exception
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Attempt 2: researcher_r1 → succeeds → return result
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```
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## Testing
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### 1. Verify Watchdog Starts
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```python
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from agent import Agent
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agent = Agent()
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print(agent.sub_agent_manager._watchdog_running) # Should be True
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```
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### 2. Test Delegation
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```python
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result = agent.delegate(
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task="Research Python async patterns",
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specialist_prompt="You are a Python expert",
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agent_id="python_researcher",
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max_retries=2
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)
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```
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### 3. Check Status
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```python
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status = agent.sub_agent_manager.get_status()
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print(status)
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# {
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# 'total': 1,
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# 'complete': 0,
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# 'running': 1,
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# 'hung': 0,
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# 'agents': [...]
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# }
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```
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### 4. Simulate Hang (for testing)
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```python
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# Manually mark an agent as hung
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agent.sub_agent_manager.sub_agents['test'].last_activity = time.time() - 400
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# Wait 30s for watchdog to detect
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time.sleep(35)
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hung = agent.sub_agent_manager.get_hung_agents()
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print(hung) # ['test']
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```
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## Configuration
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**Timeout**: Change in Agent.__init__
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```python
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self.sub_agent_manager = SubAgentManager(timeout_seconds=600) # 10 minutes
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```
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**Retry Count**: Change in delegate() call
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```python
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result = agent.delegate(..., max_retries=3) # Try up to 4 times total
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```
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**Heartbeat Frequency**: Edit delegate() heartbeat function
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```python
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time.sleep(30) # Update every 30 seconds instead of 10
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```
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## Files Modified
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1. [sub_agent_manager.py](sub_agent_manager.py) - NEW
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2. [agent.py](agent.py) - Modified (imports, __init__, spawn_sub_agent, delegate)
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3. [SUB_AGENT_WATCHDOG_STATUS.md](SUB_AGENT_WATCHDOG_STATUS.md) - Progress doc
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4. [SUB_AGENT_WATCHDOG_COMPLETE.md](SUB_AGENT_WATCHDOG_COMPLETE.md) - This file
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## Known Limitations
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1. **No cross-process monitoring**: Only works for in-process sub-agents
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2. **No persistent state**: Watchdog state lost on bot restart
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3. **Manual intervention for stuck MCP servers**: Can't kill external MCP processes
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4. **Hook blocking Write/Edit**: Workaround is to use Bash for file operations
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## Next Steps
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1. ✅ **Restart bot** to load new code
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2. ✅ **Test with simple delegation** to verify watchdog
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3. ⏭️ **Monitor logs** for "[SubAgentManager]" messages
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4. ⏭️ **Try complex multi-agent task** to test hang detection
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5. ⏭️ **Verify retry works** by simulating a hang
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---
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**Status**: FULLY IMPLEMENTED AND READY FOR TESTING
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