Agenta

It is an open-source LLMOps platform called Agenta that provides integrated tools for prompt engineering, versioning, evaluation, and observability, all in one place. Agenta enables users to create robust LLM (Large Language Model) applications efficiently by offering a collaborative environment for managing prompts, evaluating outputs, and debugging issues. The platform includes features such as a **Playground** for comparing prompts and models across scenarios, a **Prompt Registry** for tracking prompt versions and their outputs, and tools for systematic **Evaluation** and **Observability** to improve output quality and monitor application performance. Agenta supports self-hosted fine-tuned models like Llama or Falcon and allows users to limit hallucinations and improve accuracy in LLM apps. It also facilitates the use of vector embeddings and retrieval-augmented generation. With resources like tutorials, documentation, and community support, Agenta helps users fast-track LLM apps to production while focusing on core business logic. The platform is designed for end-to-end LLM engineering, offering version control, collaboration, and debugging tools to streamline the development lifecycle.