Searching Mlflow Docs

Pulls MLflow documentation straight from the source by querying their llms.txt index and fetching the raw markdown files. You'd use this when working with MLflow's LLM tracking, tracing, or integrations and need accurate code examples without wading through search results or outdated Stack Overflow posts. The workflow is strict about avoiding HTML files and web search, which makes sense since MLflow's docs are well-structured and versioned. One thing to note is the llms.txt index only covers GenAI topics, so if you're working with classic ML tracking features, you might need to supplement with direct doc browsing. The emphasis on verbatim code blocks is smart since summarized examples tend to skip the details that actually matter.