Hallucination Python Packages

uqlm

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

openfactverification-kongzii

Loki: Open-source solution designed to automate the process of verifying factuality

wauldo

Official Python SDK for Wauldo — verified AI answers with zero hallucinations. pip install wauldo

dingo-python

Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool

groundguard

Verify LLM output against your source documents. Catch hallucinations in RAG pipelines and agentic workflows before they reach users.

fastmemory

FastMemory is a topological representation of text data using concepts as the primary input. It helps in improving the RAG(by replacing embedding and vectors entirely), AI memory and LLM queries by upto 100% as in the huggingface benchmarks(22+ SOTA)

qwed

The Deterministic Verification Protocol for AI - 11 verification engines for math, logic, code, SQL, facts, images, and more. Now with Agentic Security Guards.

jingu-trust-gate

jingu-trust-gate – deterministic admission layer that blocks LLM hallucinations from becoming system state

ega

Runtime enforcement layer for LLM outputs. Verifies claims against source evidence before emit. Not an eval tool.

llm-testlab

Comprehensive Testing Tool for Large Language Models

ai-trust-validator

AI Code Trust Validator - Free open-source security scanner for AI-generated code. Detect vulnerabilities, backdoors, hallucinations & logic errors in Python, JavaScript, TypeScript. pip install ai-trust-validator

hdm2

HalluciNot: Hallucination Detection Through Context and Common Knowledge Verification

hallx

Lightweight, model-agnostic hallucination risk engine for LLM outputs

cgd-validator

Validator for Clarity-Gated Document (.cgd) files - verified documents for safe LLM ingestion

phase-slip-sampler

An entropic perturbation sampler for LLMs using orthonormal vector rotation and logit anchoring.

cgd-verify

Stop LLMs from hallucinating your guesses as facts. Clarity Gate is a verification protocol for your documents that are going to be provided to LLMs or RAG systems. Place automatically the missing uncertainty markers to avoid confident hallucinations. HITL for non-directly verifiable claims.

maven-ai

Multi-Agent Verification & Evaluation Network - Reduce AI hallucinations through multi-model consensus

eval-suite

[ACL 2024] User-friendly evaluation framework: Eval Suite & Benchmarks: UHGEval, HaluEval, HalluQA, etc.

deco-mllm

[ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

cgd-generator

Stop LLMs from hallucinating your guesses as facts. Clarity Gate is a verification protocol for your documents that are going to be provided to LLMs or RAG systems. Place automatically the missing uncertainty markers to avoid confident hallucinations. HITL for non-directly verifiable claims.

sot-validator

Validator for Source of Truth (.sot) files - epistemic quality verification for AI-safe documentation

cgd-creator

Stop LLMs from hallucinating your guesses as facts. Clarity Gate is a verification protocol for your documents that are going to be provided to LLMs or RAG systems. Place automatically the missing uncertainty markers to avoid confident hallucinations. HITL for non-directly verifiable claims.

clarity-gate

Pre-ingestion verification for epistemic quality in RAG systems

sot-verify

Stop LLMs from hallucinating your guesses as facts. Clarity Gate is a verification protocol for your documents that are going to be provided to LLMs or RAG systems. Place automatically the missing uncertainty markers to avoid confident hallucinations. HITL for non-directly verifiable claims.