Bug Structured Generation With Json Schema Does Not Produce Empty Array
Generate Json Schema From Example Json Stoplight Platform Product When using structured generation with json schema for array output, the output does not produce an empty list. instead it either produces an invalid json or a json with non zero number of elements in the array. here is how this can be reproduced. Is there a way to use structured outputs with arrays as root element ? issue i want to parse collection of objects from textual data. so i need the model to return it as a collection to parse and use in list array. here’s how i’m using structured outputs in sdk.
Json Schema Form Custom Array рџ App Building Retool Forum In summary, gpt oss with ollama currently struggles with structured output, largely due to incomplete format enforcement, harmony format changes, and lacking support across toolchains. manual workarounds may help, but consistent success is not guaranteed. A practical guide to working with openai's json structured outputs, including common limitations and solutions based on real world experience. Setting it to application json constrains the model to produce json output. combined with a response schema parameter, you get schema level enforcement similar to openai's structured outputs. Instead of parsing natural language responses, you get structured data in the form of json objects, pydantic models, or dataclasses that your application can use directly.
Code Completion And Validation Using Json Schema Hybiscus Blog Setting it to application json constrains the model to produce json output. combined with a response schema parameter, you get schema level enforcement similar to openai's structured outputs. Instead of parsing natural language responses, you get structured data in the form of json objects, pydantic models, or dataclasses that your application can use directly. Structured outputs is a newer feature designed to ensure model generated outputs will exactly match the json schema provided by the developer. in this article, i’ll show some behaviors of json mode, but please be aware that there might be a better option than was available at the time of writing. I reached out to azure support regarding this and what i have been told that support for json schema is not available with openai models in azure just yet. you might want to wait for some time. Summary when using guided generation with session.respond (to: generating:), schemas containing array may produce invalid json schema for openai compatible backends. The response format parameter is for supplying a json schema, as the only way the ai can form a response to you, the ai model forced to fill the fields of the structured output with the data apparently needed.
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