Phoenix LLMs.txt Documentation Indexer
Maintains, audits, and optimizes the machine-readable llms.txt documentation map for Phoenix AI observability docs.
Phoenix LLMs.txt Documentation Indexer ensures comprehensive, high-quality machine-readable documentation indexes conforming to the llmstxt.org specification for Arize Phoenix docs. It automates auditing against published navigation trees, enforces high-signal titles and action-oriented descriptions, detects stale or missing entries, and verifies coverage metrics against AFDocs standards so AI coding agents and CLI tools can fetch docs accurately.
Características Principales
01Standardizes structural section hierarchy and validates CLI parser compatibility
02Audits llms.txt entries against docs.json navigation and file system pages
03Filters non-parseable resources like live sandboxes, standalone Colabs, and orphan pages
04Tracks AFDocs coverage score to maintain at least 90% indexed documentation
051 GitHub stars
06Generates action-oriented, token-efficient descriptions for documentation endpoints
Casos de Uso
01Optimizing documentation entry descriptions and titles for AI coding assistants and CLI fetchers
02Updating the Phoenix documentation index when adding new integrations or SDK reference pages
03Running automated coverage audits to identify stale URLs or missing MDX documentation