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snarayan

I’ve built a Databricks App using Gradio that leverages predict_stream to get streaming responses from a multi-agent supervisor. The app coordinates reasoning across four knowledge agents, so the model uses a long chain-of-thought process before retu...

snarayan

I’m seeing a difference in citation behavior between a single Knowledge Assistant (KA) agent and the Multi‑Agent Supervisor setup.What I testedIn Agent Bricks → Knowledge Assistant, I created an agent that returns citations with links (e.g., url_cita...

snarayan

I’m encountering an issue related to Lakesense authentication when working with Agent Bricks Knowledge Assistant (KA) agents (I recreated thisAgent Bricks Knowledge Assistant agent), and I haven’t found any documentation on this. Hoping someone here ...

snarayan

Thanks for the info!It would be great to add this feature and also add some additional configurations like (mlflow configs, chunking window inputs, etc).

snarayan

Thanks for the info! I tried setting the MLFLOW_DEPLOYMENT_PREDICT_TIMEOUT to 300, MLFLOW_DEPLOYMENT_PREDICT_TOTAL_TIMEOUT to 600, and MLFLOW_DEPLOYMENT_PREDICT_TIMEOUT to 300 in my Gradio app. My Gradio app uses the predict_stream function to call ...

snarayan

Update: The new agents I create are now working as expected. A Databricks architect suggested that the earlier issue might have been due to a backend outage, since customers typically shouldn’t encounter Lakesense errors. At this point, any newly cre...

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How to Increase HTTP Request Timeout for Databricks App Beyond 120 Seconds?

Multi‑Agent Supervisor: url_citation (source links) not shown in Playground — why and how to enable?

Lakesense Auth Error When Creating Multiple Knowledge Assistant Agents in Databricks

Re: Multi‑Agent Supervisor: url_citation (source links) not shown in Playground — why and how to ena

Re: How to Increase HTTP Request Timeout for Databricks App Beyond 120 Seconds?

Re: Lakesense Auth Error When Creating Multiple Knowledge Assistant Agents in Databricks