Openai Batch Api Examples. OpenAI API: Batch Processing Guide Batch processing allows you to su
OpenAI API: Batch Processing Guide Batch processing allows you to submit multiple requests to the OpenAI API asynchronously and process them An example of the use of the OpenAI batch API. This cookbook will walk you through how to use the Batch API with a couple of practical examples. Learn to use OpenAI's Batch API for large-scale synthetic data generation, focusing on question-answer pairs from the ms-marco dataset. Contribute to Dntfreitas/batch-api-openai development by creating an account on GitHub. We will start with an example to categorize movies Use the REST API to list all batch jobs with additional sorting/filtering options. NET library for the OpenAI API. Batch Create large batches of API requests for asynchronous processing. While both ensure valid JSON is produced, only Structured Outputs ensure schema adherence. Hi, Hopefully this is me doing something wrong which can be easily fixed and not a bug I’ve successfully run the structured outputs using the Hi everyone, I’m fairly new to backend development and APIs, and I’ve recently come across the concept of batch APIs. Refer to the model We are introducing Structured Outputs in the API—model outputs now reliably adhere to developer-supplied JSON Schemas. I’m looking to understand both the theoretical side The batch functionality can be accessed through a convenient UI on OpenAI’s platform or via the API. Hello, I have a fairly large dataset, so I want to use Batch API on my fine-tuned model; how can I do this? What endpoint should I call? I am following the tutorial on Batch . Here's a basic example: {"prompt": Learn how to preprocess your data and save 50% on costs using OpenAI’s Batch API - with practical tips, Python scripting shortcuts, openbatch is a lightweight Python library that simplifies the creation of the batch input file by providing a developer experience that mirrors the official openai Python client. In this guide, I will show you how The Azure OpenAI Batch API is designed to handle large-scale and high-volume processing tasks efficiently. Learn how to use OpenAI's Batch API for processing jobs with asynchronous requests, increased rate limits, and cost efficiency. We will start with an example to Imagine you want to summarise three different articles. Basic Examples Movie Review The official . In the examples below we're providing the generate_time_filter function to make constructing the As the name suggests, the Batch API lets you submit multiple API requests at once, allowing you to send a batch of requests in a single Batch processing allows you to submit multiple requests to the OpenAI API asynchronously and process them more efficiently, especially when This cookbook will walk you through how to use the Batch API with a couple of practical examples. The Batch API returns completions within 24 hours for a 50% discount. With the OpenAI Batch API, To send multiple requests using the OpenAI Batch API, you'll need to create a batch of requests. This cookbook will walk you through how to use the Batch API with a couple of practical examples. Contribute to openai/openai-dotnet development by creating an account on GitHub. We will start with an example to categorize movies using gpt-4o-mini, and then cover how we can use the vision capabilities of this model to caption images. Using OpenAI Batch API This tutorial demonstrates how to use the OpenAI API’s batch endpoint to process multiple tasks efficiently, Model ID used to process the batch, like gpt-5-2025-08-07. OpenAI offers a wide range of models with different capabilities, performance characteristics, and price points. Both Structured Outputs and JSON mode are supported in the Responses API, Chat Explore examples of how to use the OpenAI API. With the traditional API, you would make three separate calls. Process asynchronous groups of requests with separate quota, Examples This section provides examples of common use cases for working with OpenAI Structured Outputs using the openai-structured library.