It is an enterprise-grade, open-source framework called Eidolon that enables developers to rapidly build, deploy, and consume powerful generative AI (genAI) applications.
It is an enterprise-grade, open-source framework called Eidolon that enables developers to rapidly build, deploy, and consume powerful generative AI (genAI) applications. Eidolon serves as a secure, scalable, and customizable AI Agent Server designed for enterprise use, providing tools and infrastructure to streamline the development and deployment of agentic applications.
Eidolon allows developers to build AI agents using a simple declarative YAML syntax, making it easy to define agents ranging from simple to highly complex configurations. Developers can choose from pre-built agents or create custom agents using vanilla code or other agent frameworks. The framework supports the integration of Retrieval-Augmented Generation (RAG) storage, enabling developers to enhance applications with customizable RAG services tailored to specific needs.
For deployment, Eidolon integrates seamlessly with Kubernetes, allowing organizations to deploy agents directly using their existing Kubernetes management tools and pipelines. Agents are stateless and designed to scale horizontally, ensuring they can handle varying workloads efficiently. Kubernetes deployment also enables the enforcement of security policies, ensuring agents have access only to necessary resources.
Eidolon provides a set of React components to help developers build graphical user interfaces (GUIs) for interacting with chatbot agents. These components are designed to be user-friendly and extensible, simplifying the process of creating intuitive interfaces. Additionally, agents can be interacted with directly through a REST API or via the Eidolon web UI. For more ad-hoc experimentation, Eidolon includes a command-line interface (CLI) that allows developers to quickly test and interact with their agents.
In summary, Eidolon is a comprehensive AI Agent Server framework that simplifies the development, deployment, and consumption of AI agents for enterprise applications. It combines flexibility, scalability, and security, making it a robust solution for building and managing agentic AI systems.
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