Openai Batch Api Structured Output. 1 and o4-mini structured output support API gpt-41 , o4-mini
1 and o4-mini structured output support API gpt-41 , o4-mini 8 6848 May 20, 2025 Pydantic Model Hi everyone, I wanted to share an issue we encountered while trying to implement Structured Outputs in our application. Forcing OpenAI to output a Pydantic model, and how to pass field specific instructions to the model I’ve been trying to use directly the Responses API (for batch querying) to produce structured outputs, but have run in quite a few difficulties. Without structured output it works fine, and Batch processing allows you to submit multiple requests to the OpenAI API asynchronously and process them more efficiently, especially when Represents token usage details including input tokens, output tokens, a breakdown of output tokens, and the total tokens used. I tried doing json schema for the structured output first but according to the docs: " Getting started with Azure OpenAI batch deployments The Azure OpenAI Batch API is designed to handle large-scale and high Unlock the power of OpenAI's Structured Outputs API! Learn how to build robust AI systems with guaranteed JSON schema adherence. When I upload my batch file it validates and processes but the Make a streaming OpenAI API call using OpenAI Structured Outputs. I am now hoping to use gpt4o-08-06 responses to OpenAI API: Batch Processing Guide Batch processing allows you to submit multiple requests to the OpenAI API asynchronously and process them Supported schemas and limitations Azure OpenAI structured outputs support the same subset of the JSON Schema as OpenAI. The old response_format key is I am currently using tooldantic for structured outputs in batch mode in order to produce a json output structure. Recently, after Examples This section provides examples of common use cases for working with OpenAI Structured Outputs using the openai-structured library. Both Structured Outputs and JSON mode are supported in the Responses API, Chat Completions API, Assistants API, Fine-tuning API and Batch API. Code examples and practical tips included. Like it uses Structured Outputs to match the API chatgpt, pdf, batch-api, structured-output pitmorgan December 12, 2024, 9:29pm 1 The Azure OpenAI Batch API is designed to handle large-scale and high-volume processing tasks efficiently. Batches will be completed within 24h, Views Activity Unable to Use Batch API with Structured Output API api , batch , structured-output , o4-mini 5 402 May 20, 2025 Batching prompts still being recommended Today we launched Structured Outputs in the API — model outputs now reliably adhere to developer-supplied JSON Schemas. The following is a toy example outlining my problem. A complete guide with code examples, use cases, and tips for building robust AI systems with structured data. This is in contrast to the older JSON mode feature, which guaranteed This Python notebook walks through the steps required to upload an example batch file, submit it for processing, track its progress, and retrieve TL;DR The OpenAI Batch API offers a 50% cost reduction and significantly higher throughput for large-scale tasks, but its file-based workflow is cumbersome, especially for Given the complexity of her prompt requests — including long and detailed instructions, thousands of prompt calls, and a large annotation space — OpenAI’s new Structured Outputs feature is designed to ensure that model-generated outputs exactly match JSON schemas that With response_format="json_schema" (and valid schema) it returns an empty output (Sweden Central Azure region). I read the following page already but I am still acing issue. Previously, it worked with both the 4o and o3-mini models. We recommend always using Structured Structured outputs make a model follow a JSON Schema definition that you provide as part of your inference API call. Parameters: messages – List of chat messages in OpenAI format schema – JSON Schema defining the Hello everyone, I’m having some trouble using Pydantic structured outputs in batch mode. Process asynchronous groups of requests with separate quota, The documentation for Structured Outputs just says that Enums are supported, but that doesn’t seem to be entirely true. How to use Structured Outputs? Using response_format Working with Batch API while keeping sessions API 1 462 July 2, 2024 Using Batch API through Azure OpenAI with API M API api 0 789 Unlock the power of OpenAI's Structured Outputs API in 2025. This function validates whether a given model name supports OpenAI Structured Outputs, handling both aliases and I am trying to batch process a large amount of data with the batch API and a structured response schema. The new Batch API allows to create async batch jobs for a lower price and with higher rate limits. My goal was to enforce a specific JSON schema using I’ve seen the docs and what it says here is Structured Outputs for function calling. Basic Examples Movie Review The batch API is definitely not an option, because I’m running this in a browser and expecting output in a timely manner. This feature was one of our most highly . import json from openai The tools API field currently only works on Llama 3 70B and Llama 3 405B. Hi there, I have been using the new structured outputs feature and it has been working great for a few of my use cases. Check if a model supports OpenAI Structured Outputs. So far I’ve seen the API reject schemas with enum The OpenAI Batch API requires that your input is formatted as a very specifically structured JSON lines file. Only populated on batches created after September 7, 2025. Not Structured Outputs and function calling. The structured output format with the batch API has been used successfully for several weeks. I will look into making parallel requests, although that Question about gpt-5 batch API API 2 159 October 11, 2025 Clarity on gpt-4. In the first step, we will create a csv Hi, I am trying to use batch API feature for the reasoning models with structured output.
