ai-provider-factory

Unify multiple AI backends by using a factory that creates provider instances based on provider ID and configuration. This lets your application call a shared interface for testConnection, generateContent, and getAvailableModels while remaining agnostic to the active backend.

Switch between cloud and local AI providers by routing requests through a provider factory. The factory selects the correct backend based on configuration, enabling seamless switching without altering your core business logic or refactoring provider calls.

Add new AI providers by extending the factory and the provider registry. This extensible architecture supports integrating new cloud or local backends without touching the existing application logic that relies on the unified interface.

Validate configuration and test connections for different AI backends using the shared provider interface. Each instantiated provider supports validateConfig and testConnection methods, ensuring your setup is correct before generating content.

The provider factory pattern works for both local and cloud AI model generation. It covers both backend types under a unified interface, allowing you to manage content generation and retrieve available models across diverse environments.

A unified provider interface requires implementing a standardized error model and shared methods like getProviderInfo across all backends. Providers must conform to the factory creation flow, meaning backends lacking these capabilities need adapter wrappers to integrate properly.