Agenta
Agenta is an open-source platform that aids developers and product teams in building and managing AI applications powered by large language models (LLMs). It offers tools for prompt management, evaluation, and deployment, supporting various frameworks and model providers.
Services
Agenta offers a suite of tools designed to assist developers and product teams in building AI applications powered by large language models (LLMs). The platform provides solutions for prompt management, evaluation, annotation, A/B testing, and one-click deployment. Agenta supports a variety of LLM workflows, including chain-of-prompts, Retrieval Augmented Generation (RAG), and LLM agents. Additionally, it includes features like prompt versioning, role-based access control, and observability for real-time monitoring. These services facilitate rapid experimentation and seamless collaboration among team members.
Products
Agenta's products are tailored to enhance the development and deployment of LLM-based applications. Key offerings include tools for creating and managing prompts, evaluation of applications with both pre-existing and custom evaluators, and human feedback annotation. The platform also includes a playground for collaborative experimentation, automatic evaluation for systematic comparison of different prompts, and features for gathering human feedback. Agenta supports integration with frameworks and model providers such as Langchain, LlamaIndex, OpenAI, Cohere, and Huggingface.
Features
Agenta comes equipped with a variety of features that aid in the development of AI applications. These features include prompt versioning to track changes and revert to previous versions, role-based access control for managing team access, and deployment versioning to maintain a history of prompts deployed. The observability feature (currently in beta) provides real-time insights into costs, latency, and the number of calls. Agenta also offers a playground for team collaboration, tools for annotating and A/B testing, and capabilities for automatic evaluation and feedback gathering.
Integration and Compatibility
Agenta is designed to be compatible with any LLM application architecture, including chain-of-prompts, RAG, and LLM agents. It seamlessly integrates with various frameworks and model providers like Langchain, LlamaIndex, OpenAI, Cohere, Huggingface, and self-hosted models. This interoperability ensures that users can leverage Agenta's tools regardless of their existing tech stack. The platform empowers both developers and non-developers to iterate on, evaluate, and deploy custom LLM applications through its user interface, CLI, or GitHub workflows.
Collaboration and Usability
Agenta facilitates easy collaboration between developers and product teams, enabling prompt engineering and evaluation. The platform allows for the creation of test sets and golden datasets for thorough evaluation and comparison. Users can share links to gather human feedback and leverage the playground feature for team-based prompt experimentation. The role-based access control feature ensures that team members can be assigned specific roles with fine-grained permissions, enhancing collaboration and usability within the platform.