产品精选

llm 0.37 发布:默认模型改为 gpt-6-luna,价格减半

llm 0.37

精选理由

Simon Willison 的命令行工具 llm 出新版了,默认模型换成便宜一半的 gpt-6-luna,还支持给 Gemini Embedding 2 嵌视频音频,常用 CLI 的可以升级。

Simon Willison 的 LLM CLI 工具发布 0.37 版本,累计约两个月的更新。新增 gpt-6.1-sol 和 gpt-6.1-terra 两个模型,并加入 llm openai endpoint add 命令,方便配置 OpenAI 兼容端点。默认模型从 gpt-5.6-luna 切换为价格便宜一半的 gpt-6-luna。嵌入功能支持不同二进制内容使用不同 content-type,以适配可处理文本、音频、图像和视频的 Gemini Embedding 2。本版共收到 12 位贡献者的修复,作者用 Opus 5.5 或 GPT-6 Astra 辅助筛选 AI 辅助 PR。

原文 · Simon Willison’s Weblog

llm 0.37

Release: llm 0.37 There's a lot of stuff in this new release of my LLM CLI tool and Python library, representing around two months of accumulated features and fixes. I added gpt-6.1-sol and gpt-6.1-terra , plus a new llm openai endpoint add command to make it easier to configure additional models that use OpenAI-compatible endpoints. I switched the default model (if you have not set your own default) to gpt-6-luna - half the price of the previous default, gpt-5.6-luna . LLM's support for embeddings now accepts that different binary content may have different content-type - necessary for models like Gemini Embedding 2 , which can embed text, audio, images, and video. A lot of open source maintainers complain about a flood of AI-assisted PRs. LLM is my project that has been most affected by this and, to be honest, I'm not finding it to be a problem. That's mainly because I have Opus 5.5 or GPT-6 Astra help me with triage to spot the most useful fixes! This release includes fixes from 12 authors - almost all AI-assisted - and the burden of reviewing them wasn't nearly as great as I expected. I really see them as bug reports with attached examples - sometimes I land them, sometimes I implement my own fix. So thanks to 0d00ciallo0721 , ac1982 , Allen Flux , Bian Yuhan , Bishop Kammeraad , Chen Yufeiyang , Christopher Krah , Ethan Stoner , Jiachen Xie , Olamide Faniyan , Sharat Chandra Sai Boddu , nosmile99 for helping out with (or spending tokens on) this release! Tags: open-source , projects , ai , annotated-release-notes , generative-ai , llms , embeddings , llm