March 23, 2026

AI Core Enhancements & Observability

A new system for telemetry collection was implemented, including the creation of `backend/services/telemetry_service

A new system for telemetry collection was implemented, including the creation of backend/services/telemetry_service.py to manage 7 distinct event types like MEMORY_RECALL and CONTEXT_ASSEMBLY.

New endpoints and system monitoring were introduced, specifically a GET /system/observability/telemetry route in backend/api/system.py and a write queue stats endpoint.

Database write operations across several core services, including GoalEcologyService and DocumentService, were migrated to use the new backend/services/write_queue_service.py for asynchronous persistence.

The logging system was standardized by refactoring utils/logger.py to use python-json-logger for structured, correlation-aware JSON output across the entire stack.

Several key services were refactored to be lighter facades, notably frontal_cortex_service.py, which was replaced by thin delegations to newly extracted services like response_generation_service.py and prompt_assembly_service.py.

Across various services, silent exception catching (except: pass) was systematically replaced with descriptive logging using logger.debug or logger.warning to eliminate production blind spots.

Production health checks and robustness were significantly upgraded, addressing issues like ensuring compaction ceiling fires on modern context windows and widening signal matching for goal evidence.

Frontend rendering for thought blocks was added via BlockRenderer in frontend/interface/blocks.js and styled in frontend/interface/style.css.

  • Implemented telemetry collection via backend/services/telemetry_service.py for 7 event types.

  • Migrated 31+ database write operations to use backend/services/write_queue_service.py.

  • Replaced generic logging with structured JSON logging via backend/utils/logger.py and context tracking.

  • Refactored frontal_cortex_service.py into lightweight facade delegating to new services.

  • Fixed production health issues, including compaction ceiling and goal evidence pipeline reliability.

  • Added support for rendering ‘thought’ blocks in the UI via BlockRenderer.