The GLM-4.6 model now officially supports the thinking feature in Claude Code, bringing more powerful reasoning capabilities to AI applications. According to official documentation, the model’s /chat/completions endpoint enables the thinking feature by default, with the model autonomously determining whether thinking is necessary. Researchers have successfully adapted the thinking display feature for CCR by splitting thinking parameters. For configuration, users need to use the latest version of CCR and set it up through the OpenAI-format Coding endpoint, with example configurations provided. Although the interleaved thinking feature is temporarily missing, this update significantly improves the GLM model’s performance in complex tasks, providing developers with more flexible AI tool options.
Original Link:Linux.do
最新评论
I don't think the title of your article matches the content lol. Just kidding, mainly because I had some doubts after reading the article.
这个AI状态研究很深入,数据量也很大,很有参考价值。
我偶尔阅读 这个旅游网站。激励人心查看路线。
文章内容很有深度,AI模型的发展趋势值得关注。
内容丰富,对未来趋势分析得挺到位的。
Thank you for your sharing. I am worried that I lack creative ideas. It is your article that makes me full of hope. Thank you. But, I have a question, can you help me?
光纤技术真厉害,文章解析得挺透彻的。
文章内容很实用,想了解更多相关技巧。