Atla

Atla is an evaluation tool designed to help developers automatically detect and fix errors in their AI agents. Unlike traditional monitoring tools that merely indicate when something goes wrong, Atla provides insights into why issues occur and how to resolve them. This tool offers real-time visibility into every thought, tool call, and interaction of your AI agents, ensuring you can quickly identify and address any issues that arise. Atla automatically clusters and ranks similar failures across thousands of interactions, allowing developers to focus on the most critical issues that impact users the most. With Atla, you can test prompt, model, and architecture changes with confidence. Compare performance across different versions to ensure that improvements are effectively shipped. Atla turns agent debugging into systematic improvement by automatically surfacing error patterns that most impact your users. This helps you focus on issues that make a real difference. Review agent runs summarized into clean, readable narratives. Understand specific errors by zooming into step-level annotations, providing a granular understanding of your agent's performance. Atla provides specific, actionable improvements that address critical error patterns, helping to enhance user experience by fixing issues that degrade it. Deploy changes with confidence by comparing them side-by-side. Ensure that improvements enhance user experience without introducing new issues. Atla can be easily integrated into your existing stack in minutes, making it a seamless addition to your current tools. Atla is designed for developers who want to improve the performance and reliability of their AI agents. You can start using Atla by installing the Atla package, tracking your agents, and understanding errors instantly.