Set up, write, and publish documentation sites with Mintlify, and work on existing Mintlify projects. Use when the user wants to create a docs site for a repo or product, turn a docs/ folder or README into a hosted docs site, document an API from an OpenAPI…
Open-source AI observability platform for tracing, evaluating, and improving LLM applications with OpenTelemetry integration
Write and restructure Phoenix documentation in docs/ using the Diátaxis framework, with ASD-STE100 Simplified Technical English for technical content. Use when adding, editing, or reviewing any docs page.
Audit recent changes to Phoenix's user-facing surfaces (Python clients, TypeScript clients, CLI, REST/GraphQL APIs) and patch the three external-facing agent skills — `phoenix-tracing`, `phoenix-cli`, and `phoenix-evals` — so they stay in sync with what…
Run and extend Phoenix's executable integration documentation checks. Use when changing an integration doc, its runnable example, or the CI harness.
Design and implementation guide for the Phoenix CLI (`px`). Covers the noun-verb command structure, dual-audience design (humans and coding agents), Commander.js patterns, configuration resolution, output formats, exit codes, and conventions for adding or…
Debug LLM applications using the Phoenix CLI (`px`, from @arizeai/phoenix-cli). Fetch traces, spans, and sessions, annotate them, analyze errors, measure how often a failure or pattern occurs across traces, inspect datasets, review experiments, query…
Find out what is going wrong in LLM or agent traffic by reading sampled Phoenix traces, spans, or sessions, writing free-form notes (open coding), then grouping the notes into a few narrow annotations, one per failure dimension with a small label set and…