[Bug] [Modules] When registering a worker for dbgpt, the Manage Host information incorrectly changes to the worker's host and port details.

[firmament2008]

Search before asking

• [X] I had searched in the issues and found no similar issues.

Operating system information

MacOS(x86)

Python version information

3.10

DB-GPT version

main

Related scenes

• [ ] Chat Data
• [ ] Chat Excel
• [ ] Chat DB
• [ ] Chat Knowledge
• [x] Model Management
• [ ] Dashboard
• [ ] Plugins

Installation Information

• [x] Installation From Source

• [ ] Docker Installation

• [ ] Docker Compose Installation

• [ ] Cluster Installation

• [ ] AutoDL Image

• [ ] Other

Device information

CPU

Models information

proxyllm

What happened

When registering a worker for dbgpt, the Manage Host information incorrectly changes to the worker's host and port details, which is incorrect..

What you expected to happen

dbgpt start webserver --port 8088 --model_name proxyllm

dbgpt start worker --port 8100 --model_name proxyllm-qwen-7b --worker_type llm --model_path '' --proxy_server_url http://localhost:4000/v1/chat/completions --proxy_api_key 'abc' --controller_addr http://127.0.0.1:8088

How to reproduce

branch : main commit ID : dce03862d582dab50ba8be583d97b667006f96fd

code change info
model_config add line "proxyllm-qwen-7b": "chatgpt_proxyllm", proxy_adapter change: def do_match(self, lower_model_name_or_path: Optional[str] = None): return lower_model_name_or_path in ["chatgpt_proxyllm", "proxyllm" ,"proxyllm-qwen-7b"]

Additional context

No response

Are you willing to submit PR?

• [ ] Yes I am willing to submit a PR!

[mengdahuang]

老兄，请问部署这个项目是否必须要显卡？我能否直接用openAI 的API？因为我只想体验下chat to excel

[firmament2008]

老兄，请问部署这个项目是否必须要显卡？我能否直接用openAI 的API？因为我只想体验下chat to excel

用 代理模式，不需一定要显卡。 CPU也能推理。 如 通过 litellm 代理 ollama 的模型，前提是部署好ollama模型。

# 兼容 openai 接口代理
    litellm --model ollama/qwen:7b --port 4000  &   

# db-gpt 的 proxyllm 配置如 
    PROXY_API_KEY=abc 
    PROXY_SERVER_URL=http://localhost:4000/v1/chat/completions