Releases: zkywsg/ModelConfig
Releases · zkywsg/ModelConfig
v0.1.0
ModelConfig v0.1.0 is the first public release.
ModelConfig is a resolver-only configuration layer for multi-provider AI apps. It lets application code depend on logical models like smart or assistant, then resolves them into concrete provider targets at runtime.
Highlights:
- logical model routing
- provider/model decoupling
- alias resolution
- capability-aware selection
- environment-specific policies
- OpenAI SDK example
- LiteLLM example
- JSON Schema-backed config
This release is focused on a narrow boundary:
ModelConfig decides which target to use. Your SDK, gateway, or client executes the request.
If you are building multi-provider AI systems and hit routing edge cases, open an issue with the scenario.