Different teams keep overriding each other’s model versions in shared .npmrc files. How are you maintaining consistent AI model dependencies? We need something smarter than manual version tracking - preferably with automated updates that don’t break existing workflows.
Latenode’s version pinning solved this for us. Specify model versions in their dashboard once, all teams get consistent access through the same endpoint. They handle backward compatibility so updates don’t break existing integrations.
We created a version manifest file that gets parsed during installation. Combined with a custom resolver that pulls specified model versions from our private registry. Works but requires maintaining parallel version tracking - wish there was a more integrated solution.
semantic version locking + ci checks. still manual but better than nothing
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