aimonlabs/aimon-python-sdk
This repo hosts the Python SDK and related examples for AIMon, which is a proprietary, state-of-the-art system for detecting LLM quality issues such as Hallucinations. It can be used during offline evals, continuous monitoring or inline detection. We offer various model quality metrics that are fast, reliable and cost-effective.
This tool helps AI application developers ensure the quality of their Large Language Model (LLM) applications. It takes your LLM's outputs (like generated text or summaries) and evaluates them for common issues such as hallucinations, incomplete responses, conciseness, and toxicity. The result is a set of reliable quality metrics that help you confidently build, ship, and continuously monitor your LLM apps.
Use this if you are developing LLM applications and need to automatically detect and measure quality issues like hallucinations, toxicity, completeness, and conciseness during development and in production.
Not ideal if you are an end-user of an LLM application and not involved in its development or monitoring.
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Language
Python
License
MIT
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Last pushed
Nov 26, 2025
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