https://community.databricks.com/t5/machine-learning/mlflow-store-artifact-cloud-artifact-repo-issue-in-databricks/m-p/128785#M4231 <P>Why MLflow and Databricks library versions?</P><P>Did you try increasing the MLflow artifact upload/download timeout, for example:</P><P>import os<BR />os.environ["MLFLOW_ARTIFACT_UPLOAD_DOWNLOAD_TIMEOUT"] = "120"</P> Mon, 18 Aug 2025 20:08:43 GMT WiliamRosa 2025-08-18T20:08:43Z https://community.databricks.com/t5/machine-learning/mlflow-store-artifact-cloud-artifact-repo-issue-in-databricks/m-p/128768#M4230 <P><SPAN>INFO mlflow.store.artifact.cloud_artifact_repo: Failed to complete request, possibly due to credential expiration. Refreshing credentials and trying again... (Error: API request to <A href="https://dbc-d4dd6237-edea.cloud.databricks.com/api/2.0/fs/create-download-url" target="_blank">https://dbc-d4dd6237-edea.cloud.databricks.com/api/2.0/fs/create-download-url</A> failed with exception HTTPSConnectionPool(host='dbc-d4dd6237-edea.cloud.databricks.com', port=443): Max retries exceeded with url: /api/2.0/fs/create-download-url (Caused by ResponseError('too many 500 error responses'))).&nbsp; &nbsp;hwo to fix this issue in databricks apps</SPAN></P> Mon, 18 Aug 2025 17:01:00 GMT https://community.databricks.com/t5/machine-learning/mlflow-store-artifact-cloud-artifact-repo-issue-in-databricks/m-p/128768#M4230 senura96 2025-08-18T17:01:00Z https://community.databricks.com/t5/machine-learning/mlflow-store-artifact-cloud-artifact-repo-issue-in-databricks/m-p/128785#M4231 <P>Why MLflow and Databricks library versions?</P><P>Did you try increasing the MLflow artifact upload/download timeout, for example:</P><P>import os<BR />os.environ["MLFLOW_ARTIFACT_UPLOAD_DOWNLOAD_TIMEOUT"] = "120"</P> Mon, 18 Aug 2025 20:08:43 GMT https://community.databricks.com/t5/machine-learning/mlflow-store-artifact-cloud-artifact-repo-issue-in-databricks/m-p/128785#M4231 WiliamRosa 2025-08-18T20:08:43Z