Iterative refinement: provide natural-language feedback on a completed run’s outputs. An LLM identifies which workflow nodes need prompt changes, re-executes them, and returns updated outputs with a summary of what changed.
Only works on runs in completed status. The refinement happens in-place on
the same run — no new run ID is created.
Example: After generating a product image, send "Make the background brighter and add more contrast" to refine the output without re-running
the entire workflow.
Workspace API key. Prefix: lma_. Example: lma_abc123...
The run to refine.
Natural-language feedback describing what to change in the outputs.
Refinement result with updated outputs