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42aeb4ecac
The analytics dashboard had three accuracy issues: 1. TOTAL TOKENS excluded cache_read and cache_write tokens — only counted the non-cached input portion. With 90%+ cache hit rates typical in Hermes, this dramatically undercounted actual token usage (e.g. showing 9.1M when the real total was 169M+). 2. The 'API Calls' card displayed session count (COUNT(*) from sessions table), not actual LLM API requests. A single session makes 10-90 API calls through the tool loop, so this was ~30x lower than reality. 3. cache_write_tokens was stored in the DB but never exposed through the analytics API endpoint or frontend. Changes: - Add api_call_count column to sessions table (schema v7 migration) - Persist api_call_count=1 per LLM API call in run_agent.py - Analytics SQL queries now include cache_write_tokens and api_call_count in daily, by_model, and totals aggregations - Frontend TOTAL TOKENS card now shows input + cache_read + cache_write + output (the full prompt total + output) - API CALLS card now uses real api_call_count from DB - New Cache Hit Rate card shows cache efficiency percentage - Bar chart, tooltips, daily table, model table all use prompt totals (input + cache_read + cache_write) instead of just input - Labels changed from 'Input' to 'Prompt' to reflect the full prompt total - TypeScript interfaces and i18n strings updated (en + zh)