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taniumalloy

I've been working with MLflow Agent Server deployments using the OpenAI Agents SDK hosted both locally and in Databricks Apps. Currently, tracing is instrumented with:set_trace_processors([]) mlflow.openai.autolog()Locally, everything works great and...

taniumalloy

Over time, I have enrolled in various courses and learning paths. Some I do not plan on completing and some are now expired and unusable. However, these remain persistent in my "My Courses and Learning Plans" page, making it cluttered and difficult t...

taniumalloy

I have ran into a few issues while learning how to use Custom Agents in Databricks Apps that I would like to call out - both to help others and hopefully motivate platform improvements.The only model that seems to work is databricks-meta-llama-3-3-70...

taniumalloy

Following up on this, there is an open PR for this issue that details what is going on:https://github.com/databricks/app-templates/pull/256I added this code to utils.pydef to_runner_input(request: ResponsesAgentRequest) -> list[dict]: """Normaliz...

taniumalloy

After some more testing, it looks like you need to store the traces in Unity Catalog to get the details I was expecting. When using the "In the Experiment" option, functionality is limited.

taniumalloy

For the issue I described above, it may be related to the model I am using: "databricks-meta-llama-3-3-70b-instruct". I got it to work by using this on the agent input: # messages = [i.model_dump() for i in request.input] messages = to...

taniumalloy

Hello @Advika ,Thanks for your response. When I try to hide the courses, I don't see the "hide" option. Any ideas?

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Custom Agent traces only showing basic input and output

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Issues with Custom Agents on Free Edition

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Re: Custom Agent traces only showing basic input and output

Re: Issues with Custom Agents on Free Edition

Re: Not Able to Remove Courses