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LLM testing package fixes JSON validation bug with Markdown fences

By PulseAugur Editorial · [1 sources] ·

The `llm_eval` Dart package has released version 0.3.1 to address a critical bug in its `Check.isValidJson` function. Previously, this function failed to recognize valid JSON when it was enclosed within Markdown code fences, a common output format for many LLMs. This led to spurious failures in continuous integration tests, misrepresenting correct model outputs as errors. The fix involves modifying the `Check.isValidJson` function to first attempt decoding the raw output and, if that fails due to a `FormatException`, to then extract and decode JSON specifically from within Markdown code fences. AI

IMPACT Improves reliability for developers using LLMs for structured output testing.

RANK_REASON This is a bug fix and minor version update for a niche developer tool, not a new product release or significant industry event.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM testing package fixes JSON validation bug with Markdown fences

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This is a bug fix and minor version update for a niche developer tool, not a new product release or significant industry event.
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  1. dev.to — LLM tag TIER_1 English(EN) · Yusuf İhsan Görgel ·

    Check.isValidJson Failed on Correct JSON When the Model Wrapped It in a Markdown Fence

    <p><code>llm_eval</code> is a small Dart package for regression-testing LLM output: you write checks against a model's response, run them in CI, and read the outcome off two independent fields, <code>passed</code> and <code>isError</code>. <code>Check.isValidJson</code> is one of…

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