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Sweep 06 Nov 2026 · 01:32Z Build v2.1.319 537 read Stable v2.1.311 Latest v2.1.318 Next v2.1.319 Feeds RSS JSON llms.txt llms-full.txt Unofficial

Claude Code v2.1.274 ·

Model-pinning setup wizard generalized to support both Vertex AI and Bedrock

The onboarding model-pinning wizard now supports Bedrock as well as Vertex AI

You'll notice Improvements
JSON All of v2.1.274
You'll noticeTier: how much it should matter to you
4Useful: my rating, 1 to 5
2Signal: worth watching, 1 to 5
Model PinningArea: what it touches
ImprovementsKind: in v2.1.274,
What probably matters to youSection of the release
What

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.

Why

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.

See this entry in the whole of v2.1.274 →

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