qingxi

This capability allows users to define and invoke functions based on a schema that supports multiple providers, such as OpenAI and Anthropic. It utilizes a registry pattern to manage function definitions and dynamically routes calls to the appropriate provider based on user input. This architecture enables seamless integration of various AI models without needing to modify the core logic of the application, making it flexible and extensible.

This capability manages the context of interactions with AI models by maintaining state across multiple requests. It employs a context management pattern that stores relevant information from previous interactions, ensuring that each call to the AI model is informed by prior exchanges. This enhances the quality of responses and allows for more coherent conversations.

This capability enables the orchestration of multiple API calls in a defined workflow, allowing users to create complex interactions with AI models. It uses a workflow engine that can dynamically adjust the sequence of API calls based on the responses received, facilitating adaptive workflows that can respond to user needs in real-time.