run_experiment
Plan or execute a property-driven ML training run. Validates all arguments and returns the exact command; when run, requires operator approval and server execution permission to start.
Instructions
Plan a training run, or execute one. The only tool that consumes compute.
With dry_run=true (the default) it validates every argument, returns the
exact command, and touches nothing. Do that first and show the plan.
With dry_run=false it executes, subject to two independent gates: the
operator must approve the exact call, and the server must have been
started with execution enabled. If either refuses, the result says
status refused or declined_by_operator. Do not retry a refused or
declined call; report it. A completed run returns the experiment_id to
pass to get_results. Training takes minutes even for one epoch;
oracle_steps and oracle_restarts control the adversarial attack cost.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| lr | Yes | ||
| seed | No | ||
| delay | No | ||
| logic | Yes | ||
| epochs | Yes | ||
| dataset | Yes | ||
| dry_run | No | ||
| epsilon | No | ||
| batch_size | Yes | ||
| constraint | Yes | ||
| results_dir | No | ||
| oracle_steps | No | ||
| oracle_restarts | No |