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OpenAI Assistants with Structured Outputs

Published at
1/3/2025
Categories
llm
openai
ai
appsmith
Author
Joseph Petty
Categories
4 categories in total
llm
open
openai
open
ai
open
appsmith
open
OpenAI Assistants with Structured Outputs

OpenAI recently added support to their API for structured outputs, which allow you to define the response format using JSON Schema. Prior to this, the JSON response mode was able to reply with JSON, but there was no way to enforce a specific structure, define enum values, and specify required or optional fields. But with Structured Outputs, you can define every detail about the response, to ensure the data is ready to be passed on to your database or workflow.

In this guide, I'll be using OpenAI's Structured Outputs to analyze customer reviews for a hotel chain. The reviews only contain the rating (1-5), and the review text. The Structured Output feature will be used to add new datapoints for sentiment (positive, neutral, negative), offensiveContent (true/false), and tags (cleanliness, service, staff, etc).

This guide will cover:

  • Creating an OpenAI API key and saving it to an Appsmith datasource
  • Using the Chat /completions API
  • Building a UI to select and send reviews to the assistant
  • Defining a JSON Schema for the response

YOUTUBE: OpenAI Assistants with Structured Outputs

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