examples-auto-run

You can automate Python example execution by running `uv run examples/run_examples.py` with `EXAMPLES_INTERACTIVE_MODE=auto`. This automatically approves inputs and streamlines the validation process without requiring manual intervention during the script run.

Capturing logs for automated Python example runs generates detailed per-example logs alongside a main summary log. This ensures you can review the execution flow and identify specific issues across the entire suite without manually monitoring the console output.

To re-run failed Python examples, enable the `--write-rerun` flag during the automated execution. This generates a rerun list of failures, allowing you to quickly collect and execute only the specific examples that failed in the previous attempt.

This automated Python example runner operates without external dependencies. It directly automates the execution of your Python examples and provides helper functions for starting, stopping, checking status, and tailing logs independently of other packages.

Yes, you can check the status and tail logs of running Python examples. The skill provides dedicated helper functions that allow you to monitor active execution, view captured per-example logs, and tail the main summary log in real-time.