lumora

Lumora implements a schema-based function calling system that allows users to define and invoke functions across multiple AI model providers seamlessly. It utilizes a flexible registry to map function signatures to specific model endpoints, enabling dynamic invocation based on user-defined schemas. This architecture allows for easy integration with various models, enhancing interoperability and reducing the need for custom code for each provider.

Lumora features context-aware orchestration, which enables it to maintain and manage the context across multiple model interactions. It employs a state management system that tracks user inputs and outputs, allowing for coherent conversations or processes that span multiple function calls. This capability ensures that the context is preserved, enhancing the relevance and accuracy of responses from the models.

Lumora supports dynamic API integration, allowing it to fetch and process real-time data from various sources during function execution. This capability leverages webhooks and polling mechanisms to ensure that the most current data is available for model interactions, enhancing the relevance of the outputs generated. The architecture is designed to handle asynchronous data fetching, ensuring that the application remains responsive.