Failure when deploying a custom serving endpoint LLLM

[ismaelhenzel]

I'm currently experimenting with vector search using Databricks. Everything runs smoothly when I load the model deployed in Unity Catalog into a notebook session and ask questions using Python. However, when I attempt to serve it, I encounter a generic error.

The container builds successfully. However, upon running the code, I encounter an error. Debugging this serve endpoint is challenging because the machine is not available for an interactive session. I've observed that the error occurs when the code attempts to retrieve the index or endpoint, as shown below:

• vsc.get_endpoint(name=vector_search_endpoint_name) returns  An error occurred while loading the model. Expecting value: line 1 column 1 (char 0).
• index = vsc.get_index(vector_search_endpoint_name, vs_index_fullname) returns  An error occurred while loading the model. Expecting value: line 1 column 1 (char 0)

** my workspace is fully private

** i'm basing my code in this databricks example https://notebooks.databricks.com/demos/llm-rag-chatbot/index.html#

[ismaelhenzel]

i'm using openai text-embedding-3-large as embedding model, dbrx as chat model, and databricks as vectorstore, everything deployed and working fine in the workspace. But for some reason, error trying to serve the model, my unity catalog is aready in a public storage for this poc because the serve didn't support the firewall of a private storage.

[srikanth009]

Even I am face similar challenges of debugging this serve endpoint due to non interactive session. Looking for any alternate solutions. It was running perfectly when logging and loading the model in databricks, but shows errors after creating an endpoint and while querying it.