# Change: Warm up pyannote on startup

## Why
Local pyannote validation can spend significant time building the Docker image and downloading Hugging Face model artifacts. If that work happens on the first speaker-validation request, the request can time out before validation starts.

## What Changes
- Increase the local pyannote validation command timeout default.
- Add a startup warm-up path that prepares enabled pyannote diarization runtimes and downloads the configured model into the persistent cache.
- Keep startup non-blocking and keep diarization requests bounded by configured timeouts.

## Impact
- First speaker validation is less likely to fail due to one-time model setup.
- Startup logs can surface pyannote setup failures before the first meeting needs validation.