Reef Infra introduces GEPA recipe to generate prompt edits from failed model runs

1. Identify failed model runs where the LLM struggled with or fought specific prompt instructions.
2. Create a minibatch of these failed traces to serve as a training set for prompt reflection.
3. Use a secondary reflection model to analyze the failures and propose targeted rewrites to the prompt components.
4. Validate the newly edited prompt against the parent prompt on a fresh validation dataset to ensure the changes generalize well.