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2 repositories tagged with AI Observability
Phoenix: AI Observability and Evaluation Platform for LLMs
Phoenix is an open-source AI observability platform from Arize AI, designed for comprehensive experimentation, evaluation, and troubleshooting of LLM applications. It provides robust features including OpenTelemetry-based tracing, LLM evaluation, and systematic prompt management. This platform helps developers optimize and debug their AI models effectively across various environments.
Observers: A Lightweight Library for AI Observability in Python
Observers is a Python library designed for AI observability, enabling developers to track and store interactions with generative AI APIs. It provides a flexible framework with various observers for popular LLM providers and multiple storage backends. This tool helps in monitoring, debugging, and analyzing AI model behavior effectively.