[PR #3016] [CLOSED] Add veroq - LLM output verification #13641

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GiteaMirror · 2026-04-27T03:04:23-05:00

GiteaMirror commented

2026-04-27 03:04:23 -05:00

📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/3016
Author: @JohnnyTarrr
Created: 4/2/2026
Status: ❌ Closed

Base: master ← Head: add-veroq

📝 Commits (1)

991858e Add veroq - LLM output verification

📊 Changes

1 file changed (+2 additions, -0 deletions)

View changed files

📝 README.md (+2 -0)

📄 Description

What is VeroQ?

VeroQ Shield verifies any LLM output in one function call:

from veroq import shield
result = shield("NVIDIA reported $22B in Q4 revenue")
print(result.trust_score)   # 0.73
print(result.corrections)   # [{claim, correction}]

Extracts claims from any LLM text
Verifies each against live evidence (web search, financial data, public records)
Returns trust score, corrections, and permanent verification receipts
Python (pip install veroq) and TypeScript (npm install @veroq/sdk)
2,000+ weekly installs across npm and PyPI

Why this belongs on awesome-python

VeroQ is a Python-first library that solves a unique problem in the AI ecosystem: verifying LLM outputs against real-time evidence. Unlike prompt testing tools or observability platforms, VeroQ extracts factual claims from any text, fact-checks each against live data sources, and returns actionable trust scores and corrections.

Active: Regular commits, actively maintained
Documented: Full README with examples, API reference, and quickstart
Unique: No other tool in this list does claim-level verification of LLM outputs
Category: Added under AI and Agents > Verification

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/3016 **Author:** [@JohnnyTarrr](https://github.com/JohnnyTarrr) **Created:** 4/2/2026 **Status:** ❌ Closed **Base:** `master` ← **Head:** `add-veroq` --- ### 📝 Commits (1) - [`991858e`](https://github.com/vinta/awesome-python/commit/991858e7011b9030e99fe9c8ab32c743485b9169) Add veroq - LLM output verification ### 📊 Changes **1 file changed** (+2 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+2 -0) </details> ### 📄 Description ## What is VeroQ? [VeroQ Shield](https://github.com/veroq-ai/shield) verifies any LLM output in one function call: ```python from veroq import shield result = shield("NVIDIA reported $22B in Q4 revenue") print(result.trust_score) # 0.73 print(result.corrections) # [{claim, correction}] ``` - Extracts claims from any LLM text - Verifies each against live evidence (web search, financial data, public records) - Returns trust score, corrections, and permanent verification receipts - Python (`pip install veroq`) and TypeScript (`npm install @veroq/sdk`) - 2,000+ weekly installs across npm and PyPI ## Why this belongs on awesome-python VeroQ is a **Python-first** library that solves a unique problem in the AI ecosystem: **verifying LLM outputs against real-time evidence**. Unlike prompt testing tools or observability platforms, VeroQ extracts factual claims from any text, fact-checks each against live data sources, and returns actionable trust scores and corrections. - **Active**: Regular commits, actively maintained - **Documented**: Full README with examples, API reference, and quickstart - **Unique**: No other tool in this list does claim-level verification of LLM outputs - **Category**: Added under AI and Agents > Verification --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

GiteaMirror added the pull-request label 2026-04-27 03:04:23 -05:00

GiteaMirror closed this issue

2026-04-27 03:04:34 -05:00

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Reference: github-starred/awesome-python#13641