Currently, verifying the correct working of backends and the compatibility of models trained on previous Annif versions is a manual process, typically performed by running the annif eval command by hand. This manual approach is time-consuming and error-prone, especially before new version releases.

This issue proposes automating the verification process to ensure:

• Automated execution of annif eval (and other relevant commands) for all supported backends and algorithms
• Systematic testing of model compatibility for models trained with previous Annif versions
• Integration of these automated checks into CI pipelines or as dedicated test scripts
• Documentation of the automated verification process for maintainers

Automating these steps will improve reliability, reduce manual effort, and help catch regressions or compatibility issues earlier in the release cycle.