azm

This capability allows for dynamic function calling based on a predefined schema that integrates with various model providers. It utilizes a modular architecture that can easily adapt to different APIs, enabling seamless orchestration of function calls across multiple AI models. The schema-driven approach ensures that the server can validate and route requests efficiently, making it distinct in its flexibility and integration capabilities.

This capability manages the context for multiple AI models by maintaining a session-based architecture that tracks user interactions and model states. It employs a context management system that ensures relevant context is passed to the appropriate model during function calls, enhancing the relevance and accuracy of responses. This approach is particularly useful for applications that require continuity across multiple interactions.

This capability provides dynamic orchestration of API calls to various AI models based on real-time user input and predefined workflows. It leverages a rule-based engine that evaluates incoming requests and determines the optimal sequence of API calls, allowing for complex workflows to be executed with minimal latency. This architecture enables developers to create sophisticated applications that can adapt to user needs on-the-fly.