Python Tool Turns Telnyx Call Records into an AI-Powered Analytics Dashboard

A developer tutorial published on DEV Community walks through building a Flask-based analytics API that processes Telnyx Call Detail Records (CDRs) using Python. The dashboard exposes several API routes covering metrics such as total call counts, cost breakdowns, peak-hour distribution, and top routes. A dedicated endpoint sends a compact version of those computed metrics to Telnyx AI Inference, which returns a plain-English operational summary rather than performing any calculations itself. The design intentionally separates deterministic computation from AI-generated trend interpretation to keep cost and usage figures accurate. The full example code is publicly available on GitHub and is described as extensible for use cases like Slack alerts, cost spike detection, and per-campaign usage comparisons.