I already have a lightweight Voice-AI codebase in Python and now need a skilled programmer to turn it into a working MVP focused on text-to-speech conversion. The engine must rely on the ElevenLabs API and speak only Danish for the first release, so phoneme accuracy and natural prosody for that language matter more than multilingual flexibility. Here’s what I need you to extend or build: • Clean integration of the ElevenLabs SDK into the existing repo, wrapped in a reusable class. • An endpoint (REST or simple CLI command) that accepts raw text and returns a playable audio file in Danish. • Configurable voice settings—pitch, speed, style—which can be passed as parameters. • Basic logging plus error handling for API limits or time-outs. • A concise README that lets me install with pip, set the API key, and run a sample generation in under five minutes. Acceptance is simple: running the demo command on my machine should produce clear, natural-sounding Danish speech from a test sentence without manual tweaks. The current code is clean Python 3.10, uses Poetry, and lives on GitHub; I’ll grant access as soon as we agree on the timeline. If you know ElevenLabs inside out and care about crisp Danish pronunciation, let’s get started.