I follow the step in the documentation Create your first OpenAI compatible API server
Here's the list info detail
╰─ mdz list
NAME ENDPOINT STATUS INVOCATIONS REPLICAS
jupyter http://jupyter-2j8g8a2w664nwlsu.192.168.0.239.modelz.live Scaling 5 0/1
http://localhost:80/inference/jupyter.default
jupyter1 http://jupyter1-s37e8r27fc0bt7ap.192.168.0.239.modelz.live Ready 187 1/1
http://localhost:80/inference/jupyter1.default
Then when I access the deployment by using endpoint, the error message has been raised
{"message":"no addresses for \"mdz-jupyter.default\"","request":"GET /inference/jupyter.default/","op":"inference-proxy","error":{}}
I guess this is related to the scaling status, but I can't find the root cause by using the command mdz logs jupyter
I follow the step in the documentation Create your first OpenAI compatible API server
Here's the list info detail
Then when I access the deployment by using endpoint, the error message has been raised
I guess this is related to the scaling status, but I can't find the root cause by using the command
mdz logs jupyter