forked from cardosofelipe/fast-next-template
Felipe Cardoso
57680c3772
Add comprehensive metrics collector for memory system with: - Counter metrics: operations, retrievals, cache hits/misses, consolidations, episodes recorded, patterns/anomalies/insights detected - Gauge metrics: item counts, memory size, cache size, procedure success rates, active sessions, pending consolidations - Histogram metrics: working memory latency, retrieval latency, consolidation duration, embedding latency - Prometheus format export - Summary and cache stats helpers 31 tests covering all metric types, singleton pattern, and edge cases. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
19 lines
364 B
Python
19 lines
364 B
Python
# app/services/memory/metrics/__init__.py
|
|
"""Memory Metrics module."""
|
|
|
|
from .collector import (
|
|
MemoryMetrics,
|
|
get_memory_metrics,
|
|
record_memory_operation,
|
|
record_retrieval,
|
|
reset_memory_metrics,
|
|
)
|
|
|
|
__all__ = [
|
|
"MemoryMetrics",
|
|
"get_memory_metrics",
|
|
"record_memory_operation",
|
|
"record_retrieval",
|
|
"reset_memory_metrics",
|
|
]
|