Design a Function
A well-designed Function performs one task consistently. If a workflow contains
several decisions, build several Functions and compose them in your pipeline.
Choose the output shape
For extraction, define an output schema via typed fields, or using a predefined schema (JSON, Pydantic, or Zod). Fields can be strings, numbers,
booleans, arrays, nested objects, or nullable values.
Select every dataset column the model should see. Sutro joins multiple text
columns into one input and can prefix values with their column names.
Functions can be built from:
- tabular text data;
- collections of images or PDFs;
- rows that combine text with image or PDF references.
Images support PNG, JPEG, and WebP. PDFs may contain up to 100 pages. Multimodal assets
can be uploaded independently and run individually without any extra configuration.
Advanced: Assets can also be referenced within datasets as columns, allowing
you to configure more advanced inputs that interleave multiple assets and
modalities into a single input.
Start with the decision, not the prompt
Write the task as you would explain it to a new teammate in one or two
sentences. Avoid enumerating every edge case before the first iteration. The
review loop turns your rationales and corrections into the detailed prompt.
