LLM 0.37.2 fixes a security vulnerability reported by Daniel de Araujo. The issue arises from the extra-openai-models.yaml mechanism, which is now managed by the new "llm openai endpoint add" command. This mechanism allows using LLM with OpenAI-compatible API endpoints from other providers. However, Daniel's report highlighted two scenarios where the configured OpenAI API key could be accidentally sent to one of those providers: if the key had never been stored, or if a responses:true model was run with -o chat_completions 1. The update addresses these concerns, enhancing security for developers and operators of AI agents.

Google has released Gemini 0.36, a new version of its large language model (LLM) with improved capabilities. The update is available to the general public, not just a subset of cybersecurity professionals as previously announced. The new model is priced at $2 per million input tokens and $10 per million output tokens at launch, but will double in price to $4 and $20 respectively on December 1st. Gemini 0.36 offers three thinking effort levels, with a default medium setting. The model can be used for tasks such as generating HTML code for animations and creating open-world 3D games using Google's Antigravity IDE. This release is notable for its improved capabilities and the ability to be used by a broader range of users.

Anthropic released version 0.31 of their llm-anthropic, which includes Fable 5.2 and Mythos 5.2 models. The update allows users to run prompts through Fable 5.2 using the llm command, enabling generation of visual media such as images. Testing revealed that the Fable 5.2 model, particularly at the xhigh and max reasoning levels, sometimes runs out of tokens when generating complex images, resulting in failure. This issue is similar to a previously observed problem with the Opus 5.5 model but is new to the Fable series.