> ## Documentation Index
> Fetch the complete documentation index at: https://docs.oumi.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# RECIPES
> Reusable configurations for end-to-end model workflows
Oumi recipes are ready-to-run JSON configurations that define workflows across the entire [model development lifecycle](/overview#how-oumi-does-it), from [data synthesis](/guides/synthesis) to [evaluation](/guides/evaluations) and [training](/guides/training). They provide full transparency and flexibility, allowing you to inspect and modify any step before it runs.
With recipes, you can easily save, reuse, and standardize model development processes across projects.
## 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
## RECIPES BY ASSET TYPE
Recipes are organized by asset type, with each one supporting a specific stage of the model development workflow:
Supervised fine-tuning configurations for model training
Configurations for creating synthetic datasets
Settings for running model evaluations
Configurations for defining evaluators and scoring logic