[Bug] 在模型管理器中点击更新Deepseek的模型列表后，模型列表中丢失Deepseek模型上下文长度与深度思考标志

[aiqinxuancai]

📦 部署环境

Docker

📌 软件版本

v1.50.3 Docker 数据库版

💻 系统环境

Other Linux

🌐 浏览器

Chrome

🐛 问题描述

在启动env中设置的key，在此点击更新后，模型列表中上下文数量以及深度思考标志丢失，升级到v1.51.1依然无法解决问题。

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📷 复现步骤

No response

🚦 期望结果

No response

📝 补充信息

No response

[lobehubbot]

👀 @aiqinxuancai

Thank you for raising an issue. We will investigate into the matter and get back to you as soon as possible.
Please make sure you have given us as much context as possible.
非常感谢您提交 issue。我们会尽快调查此事，并尽快回复您。 请确保您已经提供了尽可能多的背景信息。

[lobehubbot]

Bot detected the issue body's language is not English, translate it automatically. 👯👭🏻🧑‍🤝‍🧑👫🧑🏿‍🤝‍🧑🏻👩🏾‍🤝‍👨🏿👬🏿

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📦 deployment environment

Docker

📌 Software version

V1.50.3 Docker database version

💻 System environment

Other Linux

🌐 browser

Chrome

🐛 Problem description

After starting the key set in the ENV, after clicking the update, the model list does not display the number of contexts and in -depth thinking signs in the model list, and it seems that the R1 model cannot communicate normally (due to the stability of the Deepseek service, I can not determine whether it is the problem of lobechat. .

! [Image] (https://github.com/user-attachments/5d3c0d99-2F3E-492E-8D70-13e5d68F1)))))))

! [Image] (https://github.com/user-attachments/27847247F2-4d61-b952-D4F2F2F4D6C0E2))))))

📷 Reapped steps

NO Response

🚦 expectation result

NO Response

📝 Supplement information

_NO Response _ @@ ==== [BUG] After clicking the model list of the deepseek in the model manager, the loss of the DEEPSEEK model context length and in -depth thinking logo in the model list

[dosubot]

I found a similar closed issue that might be relevant to your problem: [Bug] 第三方渠道R1深度思考标签失效. This issue was resolved by a pull request that fixed the deepseek-v3 and qvq model tag fetch error from SiliconCloud ^[1].

In your case, the problem seems to be related to the missing context length and deep thinking tags for DeepSeek models after updating the model list. This might be a similar issue where the tags are not being fetched or displayed correctly. You might want to check if there are any updates or patches available that address this specific problem in your version (v1.50.3).

To continue talking to Dosu, mention @dosu.

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