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OS Launcher Improvements - STORM Integration

Date: October 23, 2025 Status: Improvements Applied

✅ Improvements Made

1. Enhanced STORM Status Tracking

Problem: STORM enabled state wasn't tracked between memory system load and post-boot Hub probe.

Solution:

  • Added _storm_enabled attribute to AetherraOSLauncher.__init__
  • Capture STORM enabled state during memory system load (line ~1055)
  • Use this state to conditionally run post-boot probe (line ~1730)

Benefits:

  • Post-boot probe only runs when STORM is actually enabled
  • Eliminates unnecessary Hub API calls when STORM is disabled
  • Better performance and cleaner logs

2. Improved STORM Status Logging

Problem: Silent failures during STORM status checks made debugging impossible.

Solution:

  • Changed exception handling from except Exception: pass to except Exception as exc: logger.debug(...)
  • Added DEBUG logging when STORM is not configured (line ~1058)
  • Added WARNING logging when STORM data is missing from Hub response (line ~1748)
  • Added WARNING logging when post-boot probe fails (line ~1753)

Benefits:

  • Visibility into STORM initialization issues
  • Can diagnose Hub communication problems
  • Debug-level logging doesn't spam production logs

3. Enhanced Post-Boot STORM Probe

Problem: Post-boot probe was cryptic - only logged on success, silent on failure.

Solution:

  • Added conditional execution based on _storm_enabled flag
  • Added cells_count to logged STORM metrics (line ~1742)
  • Added explicit WARNING when STORM is expected but data is missing
  • Added WARNING when Hub returns non-200 status
  • Added DEBUG log when probe is skipped because STORM is disabled

Benefits:

  • Clear visibility into STORM operational status
  • Can distinguish between "STORM disabled" vs "STORM broken"
  • Includes cell count for easy verification of STORM activity

📊 Before vs After

Before (Silent Failures)

[BRAIN] Loading Core Memory Engine (with STORM support)...
[OK] Aetherra Core Memory Engine online (Advanced)
[OK] Aetherra Hub online at http://localhost:3001

(No indication if STORM is enabled or working)

After (Explicit Status)

[BRAIN] Loading Core Memory Engine (with STORM support)...
[STORM] enabled=True shadow_mode=True backend=auto tt_rank_cap=32
[OK] Aetherra Core Memory Engine online (Advanced)
[OK] Aetherra Hub online at http://localhost:3001
[STORM:POST-BOOT] enabled=True shadow_mode=True backend=auto tt_rank_cap=32 cells=0

(Clear STORM status at both boot stages)

If STORM Disabled

[BRAIN] Loading Core Memory Engine (with STORM support)...
[STORM] Not configured or disabled
[OK] Aetherra Core Memory Engine online (Advanced)
[OK] Aetherra Hub online at http://localhost:3001
[STORM] Post-boot probe skipped (STORM not enabled)

(Explicit indication STORM is off)

If STORM Fails

[BRAIN] Loading Core Memory Engine (with STORM support)...
[STORM] Status check failed during boot: <exception details>
[OK] Aetherra Core Memory Engine online (Advanced)
[OK] Aetherra Hub online at http://localhost:3001
[STORM] Post-boot status probe failed: <exception details>

(Clear diagnostic information)

🔍 Additional Issues Identified (Not Fixed Yet)

Code Quality Issues (30+ instances)

  1. Silent Exception Handling: Many except Exception: pass blocks throughout the file
  2. Nested Context Managers: Several places could combine async context managers
  3. Broad Exception Catching: Using except Exception instead of specific exceptions

Recommendation: These are cosmetic and can be addressed in a future refactoring pass. They don't affect STORM functionality.

Low Priority Issues

  • Line 286: Variable ChatOptions should be lowercase (PEP 8)
  • Multiple places using from contextlib import suppress would be cleaner

🎯 Impact on STORM Deployment

What This Fixes

  1. ✅ Visibility: Now you'll know immediately if STORM is enabled/disabled
  2. ✅ Diagnostics: Can see why STORM isn't working if it fails
  3. ✅ Performance: No unnecessary Hub probes when STORM is off
  4. ✅ Debugging: Debug logs provide details without spamming INFO logs

What You'll See Now

When you restart the OS with STORM enabled (.env has AETHERRA_MEMORY_STORM=1):

[BRAIN] Loading Core Memory Engine (with STORM support)...
[STORM] enabled=True shadow_mode=True backend=auto tt_rank_cap=32
[OK] Aetherra Core Memory Engine online (Advanced)
...
[OK] Aetherra Hub online at http://localhost:3001
[STORM:POST-BOOT] enabled=True shadow_mode=True backend=auto tt_rank_cap=32 cells=0

This confirms:

  • STORM initialized successfully
  • Shadow mode is active
  • Auto backend selection (POT library)
  • Tensor-train rank cap is 32
  • Hub can query STORM status
  • Zero cells initially (expected before any recalls)

🚀 Next Steps

  1. Restart OS to see improved logging in action
  2. Run traffic test (python storm_traffic_test.py) to populate cells
  3. Check metrics at http://localhost:3001/metrics for STORM series
  4. Monitor logs for the enhanced STORM status messages

📝 Files Modified

  • aetherra_os_launcher.py:
    • Line 352: Added _storm_enabled attribute initialization
    • Lines 1046-1068: Enhanced STORM status capture with debug logging
    • Lines 1730-1769: Enhanced post-boot STORM probe with conditional execution

Total Changes: 3 sections, ~30 lines modified

✨ Summary

These improvements provide production-grade visibility into STORM's operational status. You'll now know:

  • ✅ Whether STORM is enabled
  • ✅ What configuration it's using
  • ✅ If it's responding to queries
  • ✅ Why it failed (if it fails)

All without changing STORM's core functionality - just better observability! 🌩️