@oh-my-pi/omp-stats

Local observability dashboard for AI usage statistics.

Features

• Session log parsing: Reads JSONL session logs from ~/.omp/agent/sessions/
• SQLite aggregation: Efficient stats storage and querying using bun:sqlite
• Web dashboard: Real-time metrics visualization with Chart.js
• Incremental sync: Only processes new/modified log entries

Metrics Tracked

Metric	Calculation
Tokens/s	output_tokens / (duration / 1000)
Cache Rate	cache_read / (input + cache_read) * 100
Error Rate	count(stopReason=error) / total_calls * 100
Total Cost	Sum of usage.cost.total
Avg Latency	Mean of duration
TTFT	Mean of ttft (time to first token)

Usage

Via CLI

# Start dashboard server (default: http://localhost:3847)
omp stats

# Custom port
omp stats --port 8080

# Print summary to console
omp stats --summary

# Output as JSON (for scripting)
omp stats --json

Programmatic

import { getDashboardStats, syncAllSessions } from "@oh-my-pi/omp-stats";

// Sync session logs to database
const { processed, files } = await syncAllSessions();

// Get aggregated stats
const stats = await getDashboardStats();
console.log(stats.overall.totalCost);
console.log(stats.byModel[0].avgTokensPerSecond);

API Endpoints

Endpoint	Description
GET /api/stats	Overall stats with all breakdowns
GET /api/stats/models	Per-model statistics
GET /api/stats/folders	Per-folder/project statistics
GET /api/stats/timeseries	Hourly time series data
GET /api/sync	Trigger sync and return counts

Data Storage

• Session logs: ~/.omp/agent/sessions/ (JSONL files)
• Stats database: ~/.omp/stats.db (SQLite)

Dashboard

The web dashboard provides:

• Overall metrics cards (requests, cost, cache rate, error rate, duration, tokens/s)
• Time series chart showing requests and errors over time
• Per-model breakdown table
• Per-folder breakdown table
• Auto-refresh every 30 seconds

License

MIT