searching-mlflow-docs

MLflow Documentation Search Workflow Fetch https://mlflow.org/docs/latest/llms.txt to find relevant page paths Fetch the .md file at the identified path Present results with verbatim code examples Step 1: Fetch llms.txt Index WebFetch( url: "https://mlflow.org/docs/latest/llms.txt", prompt: "Find links or references to [TOPIC]. List all relevant URLs." ) Step 2: Fetch Target Documentation Use the path from Step 1, always with .md extension: WebFetch( url: "https://mlflow.org/docs/latest/[path].md", prompt: "Return all code blocks verbatim. Do not summarize." ) Anti-Patterns Do not use .html files — Fetch .md source files only. Do not use WebSearch — Always start from llms.txt; web search returns outdated or third-party content. Do not use vague prompts — "Extract complete documentation" allows summarization. Use "Return all code blocks verbatim. Do not summarize." Do not use versioned paths — Always use /docs/latest/ , never /docs/3.8/ or other versions unless the user explicitly requests a specific version. Do not guess URLs — Always verify paths exist in llms.txt before fetching. Never construct documentation paths from assumptions. Do not follow external links — Stay within mlflow.org/docs. Do not follow links to GitHub, PyPI, or third-party sites. Do not mix sources — Use only MLflow docs. Do not combine with LangChain docs, OpenAI docs, or other external documentation. Do not use llms.txt for non-GenAI topics — The llms.txt index covers LLM/GenAI documentation only. For classic ML tracking features, paths may differ.