Tooling Release Enabling New Openai Model Access

Issue 76 Edition 2026-03-17 3 min read

Not accepted General

Sources: 1 • Confidence: Medium • Updated: 2026-03-25 17:53

Key takeaways

Version 0.29 of the llm tool has been released.
llm 0.29 adds support for the OpenAI model identifiers gpt-5.4, gpt-5.4-mini, and gpt-5.4-nano.

Version 0.29 of the llm tool has been released.
llm 0.29 adds support for the OpenAI model identifiers gpt-5.4, gpt-5.4-mini, and gpt-5.4-nano.

What are the complete release notes for llm 0.29 (new features, bug fixes, breaking changes, deprecations)?
How exactly are gpt-5.4, gpt-5.4-mini, and gpt-5.4-nano configured/selected in llm (provider settings, required flags, environment variables, auth, default model behavior)?
Do inference calls using these model identifiers succeed end-to-end via llm 0.29 under typical setups, and what errors occur if access is missing?
Is there any decision read-through (operator/product/investor) explicitly stated in the corpus regarding upgrading to llm 0.29 or adopting the new model tiers?
What constraints apply when using these models through llm (rate limits, token limits, cost/pricing, latency expectations) as evidenced in this corpus?

Developer tooling is catching up to newly named OpenAI model tiers, enabling users of llm to target gpt-5.4, gpt-5.4-mini, and gpt-5.4-nano where they previously could not.
If llm is a meaningful access path for developers, adding explicit model identifiers could incrementally shift usage toward these tiers by lowering friction to test and adopt them.

Full llm 0.29 release notes show stable, supported integration for gpt-5.4, gpt-5.4-mini, and gpt-5.4-nano with clear configuration and defaults.
Reports or tests show end-to-end inference calls succeed via llm 0.29 using these identifiers under typical setups, indicating practical availability rather than just naming support.
Evidence of upgrade or adoption decisions tied to these model tiers, such as docs, examples, or user discussions referencing switching to llm 0.29 to access them.

Release notes indicate the change is only superficial naming, experimental, or limited, with missing configuration guidance or breaking issues that prevent practical use.
End-to-end calls through llm 0.29 frequently fail for these identifiers due to auth or access errors, making the added support nonfunctional for most users.
Subsequent llm updates remove or deprecate these model identifiers, or revert support, implying the integration was premature or not maintained.