Decide what to do with `@ai_track` decorator.

We have a decorator [@ai_track](https://github.com/getsentry/sentry-python/blob/master/sentry_sdk/ai/monitoring.py#L30) which creates spans with an `op` either `ai.run` or `ai.pipeline`.

With the new AI insights module and agentic coding the concept of a AI pipeline is maybe not as important anymore?

We need to make a decision if we want to deprecated `@ai_track` or if we want to change it to make it work with the AI insights in Sentry.

The only documentation of the decorator I could find is this blog post: https://blog.sentry.io/ai-application-insights-with-sentry-llm-monitoring/