Serena Ruan

@acircleda I can't repro your problem on MLflow 2.11.3, could you double check you installed it correctly? Are the environment variables (MLFLOW_BIN, MLFLOW_PYTHON_BIN) set correctly? I can correctly open mlflow...

@acircleda Could you try if the python code works? Want to see if your tracking server breaks or it's R installation problem. ``` import mlflow with mlflow.start_run(): mlflow.log_param("test", "test") ```

What if you run `R` in terminal within the same python venv and try those R commands?

Proposal TLDR: 1. Update next_request handling -- we only fail when `next_request_tokens>max_tokens_per_minute`, and wait instead if `next_request_tokens>available_token_capacity` until the capacity matches. 2. Read `max_tokens_per_minute` from env vars. Thanks for raising...

@mlflow-automation autoformat

@ernestwong-db Could you provide design doc for this? It's a little bit confusing to me

This sounds reasonable to me. cc @daniellok-db Currently we don't evaluate anything but combine model inputs, outputs and some parameters into the table. But to support evaluation, we might need...

cc @prithvikannan @hubertzub-db

Hi @xwangotter Thanks for raising the issue, please feel free to file a PR to fix it! BTW is this a newly introduced header for newer anthropic version?

https://docs.anthropic.com/claude/reference/complete_post shows `--header "anthropic-version: 2023-06-01"` @hubertzub-db @dbczumar We might need to fix this on databricks side as well