AI Infrastructure · PyPI

llmauditor

LLMAuditor is an execution-based evaluation and monitoring framework for LLM, GenAI, and agentic AI applications, providing hallucination detection, cost tracking, and governance auditing.

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Details

Author
Karan Tatyaso Kamble
GitHub profile
@AI-Solutions-KK
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/AI-Solutions-KK/llmauditor
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@AI-Solutions-KK

Overview

LLMAuditor is an execution-based evaluation and monitoring framework for LLM, GenAI, and agentic AI applications, providing hallucination detection, cost tracking, and governance auditing.

Quick start

pip

pip install llmauditor

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What llmauditor can do

agentllmragaigenai
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Genai — genai task automation.

Frequently asked questions

What is llmauditor?
LLMAuditor is an execution-based evaluation and monitoring framework for LLM, GenAI, and agentic AI applications, providing hallucination detection, cost tracking, and governance auditing.
How do I install llmauditor?
Use pip: `pip install llmauditor`. Full setup details on the source page linked above.
Is llmauditor open source?
llmauditor is published on PyPI.
What are alternatives to llmauditor?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for llmauditor is sourced from PyPI, published by Karan Tatyaso Kamble.

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