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are ready-to-run JSON configurations that define workflows across the entire model development lifecycle, from data synthesis to evaluation and training. With recipes, you can easily save, reuse, and standardize processes across projects.

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Accessing & running recipes

Recipes are automatically generated from your high-level task definitions and remain fully transparent and customizable, allowing you to review each stage of the workflow and modify any component to use them as-is or tailor them to your specific needs. To access your saved recipes, click Recipes in the left-hand navigation. Once on the Recipes page, you can:
  • Filter by Type (Training, Synthesis, Judge, Evaluator)
  • View/Edit recipe details/configurations
  • Execute recipes as jobs

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Recipes by asset type

Recipes are organized by asset type, with each one supporting a specific stage of the model development workflow:

Training recipes

Supervised fine-tuning configurations for model training

Data synthesis recipes

Configurations for creating synthetic datasets

Evaluator recipes

Settings for running model evaluations

Evaluation recipes

Configurations for defining evaluators and scoring logic