Trace and evaluate agent runs with Phoenix
Use Phoenix to trace LLM and agent calls, run evaluations, replay prompts, inspect datasets, and expose observability workflows through MCP.
Prerequisites
Phoenix server, OpenTelemetry or supported framework integration, LLM or agent application, model provider credentials, optional MCP client
Installation
Use the upstream install or setup path that matches your environment:
- pip install arize-phoenix
Requirements and caveats from upstream:
Basic usage or getting-started notes:
Phoenix is vendor and language agnostic with out-of-the-box support for popular frameworks (OpenAI Agents SDK, [Claude Agent SDK](https:...
shell
Packages
Extracted from upstream docs: https://raw.githubusercontent.com/Arize-ai/phoenix/HEAD/README.md