node-run-clarify

Collect runtime context by running an interactive Q&A loop that prompts for essential inputs like dataset paths or hyperparameters before executing an automated workflow node. This captures necessary configurations to prevent misconfigurations and wasted runs.

A clarify step in ResearchOps automated workflows is a guided questioning phase that collects essential run-time context before a tree node executes. It adapts questions based on node kind and plan details to prepare the node for execution.

Prevent misconfigurations in experiment and analysis tree nodes by initiating an adaptive Q&A loop to capture missing context such as design docs and dataset paths. This ensures all required parameters are stored before the run begins.

The node clarification process works across both blocked and planned node runs within automated workflows. It integrates with run-clarify endpoints to capture responses and seamlessly proceed with execution once all context is collected.

You can adapt clarification questions based on different tree node kinds and plan details. The Q&A loop adjusts its prompts according to the specific node context, ensuring relevant information is gathered for experiment, implementation, or analysis steps.

The best way to prepare a tree node for execution without wasting runs is to use an interactive clarification loop that verifies all configurations beforehand. This captures actionable prompts and integrates with run endpoints to proceed safely.