E.D.D.I Documentation
Prompt & Conversation Management Middleware for Conversational AI APIs. Developed in Java, powered by Quarkus, provided with Docker, and orchestrated with Kubernetes or Openshift.
E.D.D.I (Enhanced Dialog Driven Interface) is a middleware to connect and manage LLM API bots with advanced prompt and conversation management for APIs such as OpenAI ChatGPT, Facebook Hugging Face, Anthropic Claude, Google Gemini and Ollama
Developed in Java using Quarkus, it is lean, RESTful, scalable, and cloud-native. It comes as Docker container and can be orchestrated with Kubernetes or Openshift. The Docker image has been certified by IBM/Red Hat.
Latest stable version: 5.5.1
License: Apache License 2.0
Project website: here
Intro
E.D.D.I is a high performance middleware for managing conversations in AI-driven applications. It is designed to run efficiently in cloud environments such as Docker, Kubernetes, and Openshift. E.D.D.I offers seamless API integration capabilities, allowing easy connection with various conversational services or traditional REST APIs with runtime configurations. It supports the integration of multiple chatbots, even multiple versions of the same bot, for smooth upgrading and transitions.
Notable features include:
Seamless integration with conversational or traditional REST APIs
Configurable NLP and Behavior rules to orchestrate LLM involvement
Support for multiple chatbots, including multiple versions of the same bot, running concurrently
Support for Major AI API integrations via langchain4j: OpenAI, Hugging Face (text only), Claude, Gemini, Ollama (and more to come)
Technical specifications:
Resource-/REST-oriented architecture
Java Quarkus framework
JAX-RS
Dependency Injection
Prometheus integration (Metrics endpoint)
Kubernetes integration (Liveness/Readiness endpoint)
MongoDB for storing bot configurations and conversation logs
OAuth 2.0 (Keycloak) for authentication and user management
HTML, CSS, Javascript (Dashboard)
React (Basic Chat UI)
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