Agenta

Agenta is an open-source LLMOps platform designed for AI engineers, developers, and domain experts who build applications powered by large language models. Rather than focusing solely on prompt engineering, Agenta provides a complete workspace for managing the entire AI application lifecycle, including prompt development, automated evaluation, experimentation, deployment, and production observability.

The platform enables technical and non-technical team members to collaborate on prompts without modifying application code. Through an integrated prompt playground, users can experiment with multiple prompts, compare model outputs side by side, version prompts, and deploy improvements into production. This collaborative workflow allows subject matter experts to contribute directly to AI behavior while developers maintain version control and deployment pipelines.

Agenta also provides comprehensive evaluation capabilities that help teams measure the quality and reliability of LLM applications before releasing changes. Developers can create evaluation datasets, perform automated and human evaluations, compare prompt versions, and continuously validate outputs against predefined quality metrics. Once applications are deployed, built-in observability tools collect execution traces, monitor model behavior, analyze latency and costs, and identify failure points through detailed runtime analytics. This makes it easier to debug production issues and continuously improve AI systems over time.