Dev.to
7/4/2026

I got tired of switching AI SDKs every time I wanted to try a new model
Short summary
Developer spent a weekend refactoring code when switching from OpenAI to Anthropic due to incompatible SDKs, auth mechanisms, and response formats. Solution: build a unified abstraction layer using Python's abstract base class pattern, allowing provider swaps with minimal code changes. Works well for simple tasks; advanced features like streaming and tool use still require provider-specific implementations.
- •Different AI provider SDKs require completely different implementations (authentication, method calls, response handling)
- •Abstract base class pattern allows swapping providers via configuration without rewriting application code
- •Works well for simple tasks; advanced features like streaming and tool use still require provider-specific handling
Generated with AI, which can make mistakes.
Is this a good recommendation for you?



