I’m using the following response_schema: "response_schema": { "type": "ARRAY", "items": { "one_of": [ { "type": "OBJECT", "properties": { …

@GUNAND_MAYANGLAMBAM would you know if support for this is on your roadmap? this info would be really helpful

@GUNAND_MAYANGLAMBAM i saw your thumbs up reaction, so I take it that this support is on your roadmap. can you also kindly provide us with an ETA? anyOf support is extremely critical for my use cases

Hey @dabbbulaaax , I can’t provide an ETA, but I have escalated this issue to the team.

@GUNAND_MAYANGLAMBAM appreciate it! pls keep us up to date

@GUNAND_MAYANGLAMBAM congrats on the GA launch of gemini 2.0 flash! Very excited to use it but cant until anyOf is supported. Would you happen to have any updates?

Also a blocker for us. We want to move some of our function calling workflows to Gemini and our schemas use anyOf / oneOf.

Having reliable structured output is a must have for any production ready application with LLMs. The anyOf type absolutely needs to be supported. It is quite misleading that anyOf is claimed to be supported here: [image] Controlled generation | Generative AI on Vertex AI | ... …

thats a documentation for vertex AI. AFAIK, vertex AI and gemini AI are separate products

@dabbbulaaax Thanks for the comment, you are in fact correct, the anyOf type is supported with vertex ai. Here’s a working example: # /// script # requires-python = ">=3.13" # dependencies = [ # "google-genai", # ] # /// from google import genai from google.genai.types import GenerateContentCo…

@Vincent_Min if you do client = genai.Client(vertexai=True), does your billing and rate limits go through vertex AI or gemini ai?

oneOf in response_schema

Gemini API

json April 13, 2025, 7:37am 46

anyOf in the response_schema still causes issues with gemini-2.0-flash.

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oneOf in response_schema

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