Pydantic Programs

Tip

Pydantic Programs are a lower-level abstraction for structured output extraction. The default way to perform structured output extraction is with our LLM classes, which lets you plug these LLMs easily into higher-level workflows. Check out our structured data extraction tutorial.

A pydantic program is a generic abstraction that takes in an input string and converts it to a structured Pydantic object type.

Because this abstraction is so generic, it encompasses a broad range of LLM workflows. The programs are composable and be for more generic or specific use cases.

There’s a few general types of Pydantic Programs:

• Text Completion Pydantic Programs: These convert input text into a user-specified structured object through a text completion API + output parsing.
• Function Calling Pydantic Programs: These convert input text into a user-specified structured object through an LLM function calling API.
• Prepackaged Pydantic Programs: These convert input text into prespecified structured objects.

Text Completion Pydantic Programs

See the example notebook on LLM Text Completion programs

Function Calling Pydantic Programs

• Function Calling Pydantic Program
• OpenAI Pydantic Program
• Guidance Pydantic Program
• Guidance Sub-Question Generator

Prepackaged Pydantic Programs

• DF Program
• Evaporate Program