Telnyx Python App Uses AI to Flag When Phone Numbers Need Rotation or Retirement

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A Python Flask application built on Telnyx APIs monitors the health of outbound phone numbers and uses AI inference to recommend whether each number should be kept, rotated, or retired. The app pulls up to 20 numbers from a Telnyx inventory, attaches health metrics such as answer rate and complaint count, then queries the MiniMax AI model for a structured JSON recommendation. Three API routes handle scanning, health reporting, and app status checks, making it straightforward to integrate into existing outbound workflows. Importantly, the tool logs rotation recommendations rather than automatically swapping live numbers, since production changes typically require policy checks and human approval. The project is available as an open-source code example on GitHub, intended as a starting point for teams building number-health dashboards or outbound routing systems.

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