[Bug] 使用环境变量配置了助手的默认模型，打开web页面后必须刷新一次才有效

[hmzll]

📦 部署环境

Docker

📌 软件版本

1.52.9

💻 系统环境

Windows

🌐 浏览器

Chrome

🐛 问题描述

当前环境

使用docker-compose部署

配置如下

services:
  lobe-chat:
    image: lobehub/lobe-chat
    container_name: lobe-chat
    restart: always
    ports:
      - '3210:3210'
    environment:
      - 'DEFAULT_AGENT_CONFIG=model=deepseek-r1:latest;provider=ollama'
      - 'ENABLED_OPENAI=0'
      - 'OLLAMA_PROXY_URL=http://192.168.1.116:11434'
      - 'OLLAMA_MODEL_LIST=deepseek-r1:latest'

目前问题：

第一次打开页面时默认助手依然用的是：gpt-4o-mini，必须刷新一下才会变成deepseek-r1:latest

附加问题：

OLLAMA_PROXY_URL似乎未生效，在设置语言模型里，Ollama服务地址一栏依然为空，只显示了占位符没显示我环境变量里填的内网地址

📷 复现步骤

No response

🚦 期望结果

No response

📝 补充信息

No response

[lobehubbot]

👀 @hmzll

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

1.52.9

💻 System environment

Windows

🌐 Browser

Chrome

🐛 Question description

Current environment

Deployment with docker-compose

The configuration is as follows

services:
  lobe-chat:
    image: lobehub/lobe-chat
    container_name: lobe-chat
    restart: always
    Ports:
      - '3210:3210'
    environment:
      - 'DEFAULT_AGENT_CONFIG=model=deepseek-r1:latest;provider=ollama'
      - 'ENABLED_OPENAI=0'
      - 'OLLAMA_PROXY_URL=http://192.168.1.116:11434'
      - 'OLLAMA_MODEL_LIST=deepseek-r1:latest'

###Current question:
The default assistant still uses: gpt-4o-mini when opening the page for the first time. **It must be refreshed before it becomes deepseek-r1:latest

Additional questions:

OLLAMA_PROXY_URL does not seem to be effective. In the setting language model, the column Ollama service address is still empty, only the placeholder does not display the intranet address filled in my environment variable.

📷 Reproduction steps

No response

🚦 Expected results

No response

📝 Supplementary information

No response

[dosubot]

Hey @hmzll, I'm here to help you with any bugs, questions, or contributions. Let me know how I can assist you!

I found some relevant information that might help with the issues you're experiencing:

1. Default Model Issue: The lobe-chat application defaults to gpt-4o-mini because it is set as the default model in the OpenAI Provider. This behavior is documented in the changelog for Version 1.6.0, where gpt-4o-mini was added as the default model ^[1]. This might explain why you need to refresh the page for your configured model to take effect.

2. OLLAMA_PROXY_URL Issue: There is a known issue with the OLLAMA_PROXY_URL environment variable when using Docker deployment. Configuring an HTTP proxy URL for Ollama can cause the language model settings page to show a 404 error, and the proxy URL might not be displayed correctly. This issue persists even after Docker restarts, and removing the proxy URL configuration resolves the error ^[2].

You might want to check if these known issues align with what you're experiencing and consider any workarounds or updates that might address them.

To continue talking to Dosu, mention @dosu.

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[monkeyWie]

同样的问题，第一次进入默认是gtp-4O，要刷新一次才切换到默认模型

[lobehubbot]

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

---

The same problem, the default is gtp-4O for the first time, and you need to refresh it before switching to the default model.

[wzxjohn]

测试回滚到 v1.51.3 后问题解决。

[lobehubbot]

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

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The problem was resolved after the test rollback to v1.51.3.

[hcygnaw]

原来是要刷新一次吗？我说我的新配置怎么没生效

[lobehubbot]

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

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Is it necessary to refresh it? I said why my new configuration didn't work