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Life & fun · January 14, 2025

Value likelihoods for OpenAI structured output

Logprobs for OpenAI Structured Outputs

Value likelihoods for OpenAI structured output launched on January 14, 2025 with 115 votes, #359 of 6,142 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.

Visit arena-ai.github.io ↗Alternativestop 6% of January 2025

In plain words

Value Likelihoods for OpenAI Structured Output is a tool that helps users evaluate and compare different likelihood values when using OpenAI's structured output feature. It is designed for developers and AI practitioners who need to understand how various parameter settings affect model behavior and output quality. The tool provides a systematic way to test and assess structured outputs across different configurations.

written from the facts on this page · September 2026

From the sources

structured-logprobs is an open-source Python library that enhances OpenAI's structured outputs by providing detailed information about token log probabilities. This library is designed to offer valuable insights into the reliability of an LLM's structured outputs . It works with OpenAI's Structured Outputs , a feature that ensures the model consistently generates responses adhering to a supplied JSON Schema. This eliminates concerns about missing required keys or hallucinating invalid values. from openai import OpenAI from structured_logprobs.main import add_logprobs client = OpenAI () completion = client . chat . completions . create ( model = "gpt-4o" , messages = [ { "role" : "system" ,…from arena-ai.github.io

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