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Sample apps to help developers get started with Structured Outputs
| Date | Stars |
|---|---|
| 2026-07-31 | 681 |
| 2026-08-03 | 681 |
| 2026-08-06 | 681 |
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# Structured Outputs Sample Apps [](LICENSE)   Structured Outputs is an OpenAI API feature that ensures responses and tool calls adhere to a defined JSON schema. This makes building with our models more reliable, bridging the gap between unpredictable model outputs and deterministic workflows. This repository contains a collection of sample apps showcasing the use of [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs). Each app demonstrates practical ways to leverage this feature to build applications with NextJS. --- ## Table of Contents 1. [How to Use](#how-to-use) 2. [Sample Apps](#sample-apps) 3. [Resources](#resources) 4. [Contributing](#contributing) 5. [License](#license) --- ## How to use 1. **Set Up the OpenAI API:** - If you're new to the OpenAI API, [sign up for an account](https://platform.openai.com/signup). - Follow the [Quickstart](https://platform.openai.com/docs/quickstart) to retrieve your API key. 2. **Clone the Repository:** ```bash git clone https://github.com/openai/structured-outputs-samples.git ``` 3. **Try a sample App:** - Navigate to the sample app you want to try (`cd /<app_folder>`) - Refer to the README of the app to run it locally. 4. **Make it your own** Explore the code, update it, and use it in your own projects or as a starting point! ## Sample Apps There are three sample apps in this repository: ### [Resume Extraction](resume-extraction/README.md) This app is a simple example of how to use Structured Outputs in model responses to display information in a structured format.  ### [Generative UI](generative-ui/README.md) This app focuses on generating UI components on the fly with Structured Outputs.  ### [Conversational Assistant](conversational-assistant/README.md) This app is a more complex example that combines multi-turn conversations, tool calling and generative UI. You can use this as a starting point to build an assistant with reliable workflows.  ## Resources - To learn more about Structured Outputs, refer to the [Structured Outputs documentation](https://platform.openai.com/docs/guides/structured-outputs). - To learn about Function Calling, refer to the [Function Calling documentation](https://platform.openai.com/docs/guides/function-calling). - Try the [Introduction to Structured Outputs](https://cookbook.openai.com/examples/structured_outputs_intro) cookbook to get hands-on and run code snippets in Python. ## Contributing You are welcome to open issues or submit PRs to improve this app, however, please note that we may not review all suggestions. ## License This project is licensed under the MIT License. See the LICENSE file for details.
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Katia Gil Guzman · @openai
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Charlie Guo
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:ae35fa9de9949558, llm:description: 'Sample apps to help developers get started with Structured Outputs' (OpenAI sample apps in TypeScript).
matched fp:ae35fa9de9949558, llm:description: 'Sample apps to help developers get started with Structured Outputs' (OpenAI sample apps in TypeScript).
matched fp:ae35fa9de9949558, llm:description: 'Sample apps to help developers get started with Structured Outputs' (OpenAI sample apps in TypeScript).