Model independence is not about pretending every model is the same. It is about keeping the organisation's durable context separate from the model selected for a particular piece of work.
Choose models for the work
Different tasks benefit from different trade-offs in speed, reasoning, cost and interaction style. A model-independent layer lets teams make those choices without rebuilding their organisational memory each time.
Keep context consistent
The memory and knowledge boundary should apply the same identity, access and provenance rules whichever approved model is asking for context. This makes model choice a product decision rather than a data migration.
Make connection state honest
A good interface should clearly distinguish configured access from a live connection. People should be able to see when a model can retrieve current context, when a connection needs attention and what evidence supports a response.