Agenta

Agenta is an open-source LLMOps platform designed to help AI teams build and ship reliable, production-ready LLM applications. It tackles a fundamental challenge in modern AI development: large language models are inherently unpredictable, and most teams lack the structured processes needed to manage this complexity. Without the right tools, prompts end up scattered across emails and Slack, teams work in silos, and deploying changes feels like a gamble. When something breaks in production, debugging becomes a frustrating game of guesswork.

Agenta solves this by providing a centralized, collaborative hub for the entire LLM development lifecycle. It's built for developers, product managers, and subject matter experts to work together seamlessly. The platform empowers teams to experiment with different prompts and models side-by-side, run systematic and automated evaluations to validate performance, and gain deep observability into production systems to quickly debug issues. By integrating prompt management, evaluation, and observability into one cohesive workflow, Agenta enables teams to move from scattered, ad-hoc practices to proven LLMOps best practices, ensuring they can iterate quickly while maintaining confidence in their AI applications.