feat(memory): #62-14 Metrics & Observability #100

New Issue

cardosofelipe · 2026-01-05T00:17:17Z

cardosofelipe commented

2026-01-05 00:17:17 +00:00

Part of Issue #62 - Agent Memory System

Phase: 5 (Intelligence & Quality)
Priority: P2
Complexity: Low

Overview

Add comprehensive metrics and observability for the memory system.

Metrics

Metric	Type	Description
`memory_size_bytes`	Gauge	Memory usage by type and scope
`memory_operations_total`	Counter	Total memory operations
`memory_retrieval_latency_seconds`	Histogram	Retrieval latency
`memory_consolidation_duration_seconds`	Histogram	Consolidation duration
`procedure_success_rate`	Gauge	Success rate of procedures
`memory_cache_hit_rate`	Gauge	Cache hit percentage
`memory_items_count`	Gauge	Count of items by type

Logging

Structured logging for all memory operations
Debug-level logging for retrieval queries
Info-level for consolidation events
Warning-level for cache misses on hot data

Acceptance Criteria

All metrics exposed via Prometheus endpoint
Logging integrated with existing system
>90% test coverage
make validate-all passes
Multi-agent review completed

## Part of Issue #62 - Agent Memory System **Phase:** 5 (Intelligence & Quality) **Priority:** P2 **Complexity:** Low ## Overview Add comprehensive metrics and observability for the memory system. ## Metrics | Metric | Type | Description | |--------|------|-------------| | `memory_size_bytes` | Gauge | Memory usage by type and scope | | `memory_operations_total` | Counter | Total memory operations | | `memory_retrieval_latency_seconds` | Histogram | Retrieval latency | | `memory_consolidation_duration_seconds` | Histogram | Consolidation duration | | `procedure_success_rate` | Gauge | Success rate of procedures | | `memory_cache_hit_rate` | Gauge | Cache hit percentage | | `memory_items_count` | Gauge | Count of items by type | ## Logging - Structured logging for all memory operations - Debug-level logging for retrieval queries - Info-level for consolidation events - Warning-level for cache misses on hot data ## Acceptance Criteria - [ ] All metrics exposed via Prometheus endpoint - [ ] Logging integrated with existing system - [ ] >90% test coverage - [ ] `make validate-all` passes - [ ] Multi-agent review completed

cardosofelipe commented

2026-01-05 10:01:07 +00:00

Implementation Complete

Memory Metrics collector implemented with comprehensive observability.

Files Created

backend/app/services/memory/metrics/__init__.py - Module exports
backend/app/services/memory/metrics/collector.py - MemoryMetrics class (~500 lines)
backend/tests/unit/services/memory/metrics/test_collector.py - 31 tests

Metrics Implemented

Counters:

memory_operations_total - by operation, type, scope, success
memory_retrievals_total - by type, strategy
memory_cache_hits_total / memory_cache_misses_total - by cache type
memory_consolidations_total - by type, success
memory_episodes_recorded_total - by outcome
memory_patterns_detected_total - by pattern type
memory_insights_generated_total - by insight type
memory_anomalies_detected_total - by anomaly type

Gauges:

memory_items_count - by type, scope
memory_size_bytes - by type, scope
memory_cache_size - by cache type
memory_procedure_success_rate - by procedure
memory_active_sessions
memory_pending_consolidations

Histograms:

memory_working_latency_seconds - fast buckets (1ms-250ms)
memory_retrieval_latency_seconds - normal buckets (10ms-2.5s)
memory_consolidation_duration_seconds - slow buckets (100ms-60s)
memory_embedding_latency_seconds

Features

Prometheus format export
Summary statistics helper
Cache stats breakdown
Thread-safe async operations
Singleton pattern with reset for testing

Commit

57680c3 feat(memory): implement metrics and observability (#100)

## Implementation Complete Memory Metrics collector implemented with comprehensive observability. ### Files Created - `backend/app/services/memory/metrics/__init__.py` - Module exports - `backend/app/services/memory/metrics/collector.py` - MemoryMetrics class (~500 lines) - `backend/tests/unit/services/memory/metrics/test_collector.py` - 31 tests ### Metrics Implemented **Counters:** - `memory_operations_total` - by operation, type, scope, success - `memory_retrievals_total` - by type, strategy - `memory_cache_hits_total` / `memory_cache_misses_total` - by cache type - `memory_consolidations_total` - by type, success - `memory_episodes_recorded_total` - by outcome - `memory_patterns_detected_total` - by pattern type - `memory_insights_generated_total` - by insight type - `memory_anomalies_detected_total` - by anomaly type **Gauges:** - `memory_items_count` - by type, scope - `memory_size_bytes` - by type, scope - `memory_cache_size` - by cache type - `memory_procedure_success_rate` - by procedure - `memory_active_sessions` - `memory_pending_consolidations` **Histograms:** - `memory_working_latency_seconds` - fast buckets (1ms-250ms) - `memory_retrieval_latency_seconds` - normal buckets (10ms-2.5s) - `memory_consolidation_duration_seconds` - slow buckets (100ms-60s) - `memory_embedding_latency_seconds` ### Features - Prometheus format export - Summary statistics helper - Cache stats breakdown - Thread-safe async operations - Singleton pattern with reset for testing ### Commit `57680c3 feat(memory): implement metrics and observability (#100)`

cardosofelipe closed this issue

2026-01-05 10:01:07 +00:00

cardosofelipe referenced this issue

2026-01-05 10:04:59 +00:00

feat(mcp): Agent Memory System #62

cardosofelipe referenced this issue from a commit

2026-01-05 16:43:52 +00:00

feat(memory): implement metrics and observability (#100)

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