Hazina's FluentAPI provides a unified interface that eliminates the need to rewrite integration code when switching between LLM providers like OpenAI and Anthropic. This is achieved by standardizing request formats, parameter names, and error handling across different APIs.

The conversation builder allows users to manage multi-turn conversations by adding user and assistant messages efficiently. It streamlines the process of handling dialogues, enabling developers to create more interactive applications.

Yes, Hazina's FluentAPI supports streaming responses out of the box, allowing for real-time output. Developers can use the same code for streaming regardless of the provider, making it easy to implement chat interfaces.

Hazina offers a clean configuration pattern that allows developers to set up multiple LLM providers simultaneously, such as OpenAI and Anthropic. Users can specify default providers and manage API keys easily through the QuickSetup methods.

The FluentAPI acts as a strategic abstraction that enables developers to switch providers, A/B test models, and handle provider downtimes without altering application code. This approach helps keep the codebase organized and testable.