Home - Phoenix

# Arize Phoenix | Phoenix URL: https://docs.arize.com/phoenix ## Overview Arize Phoenix is an open-source AI observability tool that enables engineers and data scientists to experiment, evaluate, and troubleshoot AI and LLM applications through features like prompt management, comprehensive tracing, and integration with various frameworks and SDKs. ## Documentation Pages - [Arize Phoenix](https://docs.arize.com/phoenix): Arize Phoenix is an open-source observability tool for AI and LLM applications that enables engineers and data scientists to visualize data, evaluate performance, and troubleshoot issues while providing integration capabilities with OpenTelemetry and OpenInference. - [Quickstarts](https://docs.arize.com/phoenix/quickstart): The Quickstarts page for Arize Phoenix provides a comprehensive introduction to getting started with various functionalities, including tracing, prompts, datasets, experiments, evaluation, and inferences, across different programming languages and platforms. - [User Guide](https://docs.arize.com/phoenix/user-guide): The documentation for Phoenix outlines a comprehensive platform that facilitates observability and optimization for LLM-based systems through features such as tracing, prompt engineering, experimentation, and evaluation, ensuring efficient development and maintenance of high-quality applications. - [Examples](https://docs.arize.com/phoenix/notebooks): The "Examples" documentation page for Phoenix showcases various applications and use cases, including agent examples, LLM tracing, datasets and experiments, and performance evaluations, all aimed at enhancing user understanding and implementation of Phoenix's features. - [Environments](https://docs.arize.com/phoenix/environments): The documentation page outlines how to use the Phoenix application across different environments, including running it in cloud settings, local notebooks, or via terminal/containers, while emphasizing the need for proper environment variabl