hw3-nanda

This capability enables the MCP server to invoke functions defined in a schema, allowing for seamless integration with multiple model providers. It uses a registry pattern to manage function definitions and their respective APIs, enabling dynamic invocation based on user context and requirements. This approach allows developers to easily switch between different model providers without changing their codebase significantly.

This capability allows the server to invoke models with context-aware parameters, enhancing the relevance of responses. It employs a context management system that captures user interactions and preferences, passing this contextual information to the models during invocation. This ensures that the outputs are tailored to the user's specific needs and previous interactions.

This capability enables the server to orchestrate calls to multiple AI models in a single workflow, allowing for complex task execution. It uses an orchestration pattern that defines workflows as sequences of model invocations, managing dependencies and data flow between them. This allows developers to create sophisticated applications that leverage the strengths of different models in tandem.