With the popularity of LLM and agentic applications, LLM observability is becoming more and more important. Previously, we’ve recommended platforms such as Langfuse and Weights & Biases (W&B). Arize Phoenix is another emerging platform in this space, and our team has had a positive experience using it. It offers standard features like LLM tracing, evaluation and prompt management, with seamless integration into leading LLM providers and frameworks. This makes it easy to gather insights on LLM output, latency and token usage with minimal configuration. So far, our experience is limited to the open-source tool but the broader Arize platform offers more comprehensive capabilities. We look forward to exploring it in the future.
