CHA, or Conversational Health Agents, is an open-source framework designed to build intelligent healthcare assistants powered by large language models and external data sources. The system enables developers to create personalized AI agents that can interact with users through natural language while performing multi-step reasoning and task execution. It integrates orchestration capabilities that allow the agent to gather information from APIs, knowledge bases, and external services in order to generate more accurate and context-aware responses. The framework supports modular components such as planning, tool execution, and multimodal input processing, which makes it suitable for complex healthcare applications. It also includes a web-based interface for interacting with the agent, making it accessible for testing and deployment in real-world scenarios.
Features
- LLM powered conversational agents tailored for healthcare use cases
- Multi step reasoning and task orchestration across external tools
- Integration with APIs knowledge bases and search services
- Support for multimodal inputs including text and external data sources
- Web interface for interacting with and testing health agents
- Modular architecture for customizing workflows and decision logic