arize-phoenix

What problem does it solve?

Phoenix provides end-to-end observability for AI applications, enabling you to trace execution, evaluate outputs, and iterate on prompts in a single platform.

Core Features & Use Cases

• Tracing: Capture LLM calls, tool executions, retrievals, and embeddings with OpenTelemetry.
• Evaluation & Annotations: Run LLM-based or code-based evaluators and attach quality signals to traces.
• Prompt Engineering & Experiments: Iterate prompts, manage versions, and run experiments against datasets to compare versions.
• Use Case: Debug multi-turn agents and optimize retrieval quality in production environments.

Quick Start

Get started by inspecting the Phoenix docs, instrumenting your application with OTLP, and running a simple trace in a local environment.