Skip to content

Add Structured Output support #121

@AndreasKarasenko

Description

@AndreasKarasenko

Structured outputs allow users to define an output scheme using pydantic. OpenAI and most others support this now (see e.g. OpenAI and their docs).

from pydantic import BaseModel
from openai import OpenAI

client = OpenAI()

class CalendarEvent(BaseModel):
    name: str
    date: str
    participants: list[str]

completion = client.beta.chat.completions.parse(
    model="gpt-4o-2024-08-06",
    messages=[
        {"role": "system", "content": "Extract the event information."},
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday."},
    ],
    response_format=CalendarEvent,
)

event = completion.choices[0].message.parsed

In my own tests using scikit-ollama I found the models to adhere much better to the output scheme. It barely ever had to fall back to the default label which made it overall more accurate.
It was also usually faster.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions