The onboarding model-pinning wizard now supports Bedrock as well as Vertex AI
The onboarding screen for "pinning" model versions (locking Claude Code to specific model versions for Sonnet, Opus, Haiku, and Fable, rather than always trying newly released models) was rewritten to work with more than one provider. It now takes a provider object that supplies tier defaults, candidate model lists, a probe check, and error labeling, and two providers are wired in:
- Amazon Bedrock, with automatic AWS profile discovery and region-specific error handling
- Vertex AI, using the same flow as before
The wizard warns that without pinning, Claude Code will try newly-shipped models even if your account or project hasn't enabled them yet, which can cause connection failures until you pin to a model you have access to or enable the new one.
Bedrock users get the same guided model-pinning setup that was previously only available for Vertex AI, reducing the chance of unexpected connection failures when a new model ships that their account hasn't enabled.