7 best AI observability platforms for LLMs in

AI observability platforms are essential for monitoring and improving the performance of large language models (LLMs) in production, providing deeper insights beyond traditional metrics like uptime and latency. These platforms help teams understand not just whether an AI is functioning, but how well it is performing by evaluating the quality of its outputs. Key platforms include Braintrust, known for its systematic improvement loop and integration with CI/CD pipelines, and Langfuse, an open-source option for those comfortable with self-hosting. Other notable platforms include LangSmith for LangChain users, Fiddler AI for enterprises focused on compliance and explainability, and Evidently AI, which offers a unified monitoring solution for both traditional machine learning and LLMs. These tools capture detailed logs and traces, facilitate debugging, and enable continuous quality improvement, ultimately allowing teams to iterate rapidly and ship better AI systems.

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