feat: prompt cache hit rate analytics panel#923
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Adds a dedicated cache analytics section to the Usage tab showing: - Overall cache hit rate as a percentage - Estimated cost savings (cached tokens cost ~10x less than fresh input) - Session count with cache activity - 14-day daily hit-rate bar chart - Actionable recommendation text based on hit rate tier New endpoint GET /api/usage/cache-analytics reads session JSONL files, buckets cacheRead/input token counts by session file mtime (14-day window), and returns aggregated stats. Data source is the same usage.cacheRead fields already consumed by /api/cost-split. Closes #851 Co-Authored-By: Claude <noreply@anthropic.com> https://claude.ai/code/session_01TNi2XgFsFJtFrDvhaiSFXK
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Summary
Closes #851
GET /api/usage/cache-analyticsinroutes/usage.py— reads session JSONL files forcacheReadtoken counts (same fields already used by/api/cost-split), buckets them by session file mtime over the last 14 days, computes overall hit ratio and estimated savings, and returns a tiered recommendation string.clawmetry/templates/tabs/usage.html— "💾 Prompt Cache Analytics" card with three stat cards (Hit Rate, Est. Savings, Sessions) plus a 14-day bar chart and recommendation row.clawmetry/static/js/app.js— addsloadCacheAnalytics()called fromloadUsage()to fetch and render the new section.Test plan
--/$0.00GET /api/usage/cache-analyticsreturns valid JSON withhit_ratio_pct,est_savings_usd,daily(14 entries),session_count,recommendationhttps://claude.ai/code/session_01TNi2XgFsFJtFrDvhaiSFXK
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