The article also highlights the differences between traditional application performance monitoring (APM) and LLM spans and traces. While APM focuses on production monitoring and troubleshooting, LLM spans are designed to aid in LLM app development. Phoenix is designed to provide pre-deployment LLM observability directly from a developer's local machine, without the need to send data to a SaaS platform. It also features a new LLM evals library that is built for accurate and rapid LLM-assisted evaluations.
Key takeaways:
- Arize Phoenix is an open-source library designed to help developers debug and troubleshoot large language model (LLM) applications. It provides visibility into the system and enables developers to analyze each step of the application.
- Phoenix supports all common spans and has native integration into LlamaIndex and LangChain. It also features a new LLM evals library that is built for accurate and rapid LLM-assisted evaluations.
- Phoenix can be used to troubleshoot traces of execution, highlighting slow invocations of LLMs, token usage, runtime exceptions, retrieved documents, embeddings, LLM parameters, prompt templates, tool descriptions, and LLM function calls.
- Phoenix's functionality is particularly useful for early app developers as it provides a mechanism for pre-deployment LLM observability directly from their local machine, without the need to send data to a SaaS platform.