The AI Model Security Python SDK provides programmatic access to all public APIs through auto-generated client code derived from our OpenAPI specifications. When you use the AI Model Security Python SDK, you benefit from automatically generated methods for managing security groups, retrieving scan results, querying evaluations and violations, and accessing file metadata, all backed by strongly-typed Pydantic v2 models that provide runtime validation and IDE autocomplete support.

You should consider using the auto-generated SDK when you need to integrate AI Model Security capabilities into your existing Python applications, CI/CD pipelines, or automation workflows. The SDK is particularly valuable when you require programmatic management of security groups and rules across multiple environments, need to poll scan results and analyze violations programmatically, or want to build custom dashboards and reporting tools on top of AI Model Security data.

The SDK automatically handles OAuth 2.0 authentication by injecting fresh tokens into every API request, ensuring secure communication with AI Model Security services without requiring you to manage the token lifecycle manually. With this capability, you no longer need to repeatedly write authentication code when calling the AI Model Security API—simply focus on building your business logic.