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The production toolkit for LLMs. Observability, analytics and evaluation.

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📈 llmonitor

Open-source monitoring & observability for AI apps and agents

website - docs - self host

npm version Discord GitHub last commit (by committer) GitHub commit activity (branch)

Features

LLMonitor helps AI devs monitor their apps in production, with features such as:

  • 💵 Cost, token & latency analytics
  • 🔍 Log & edit prompts
  • 🐛 Trace agents/chains to debug easily
  • 👪 Track users
  • 🏷️ Label and export fine-tuning datasets
  • 🖲️ Collect feedback from users
  • 🧪 Unit tests & prompt evaluations (soon)

It also designed to be:

  • 🤖 Usable with any model, not just OpenAI
  • 📦 Easy to integrate (2 minutes)
  • 🧑‍💻 Simple to self-host (deploy to Vercel & Supabase)

Demo

demo720.mp4

⚙️ Integration

Modules available for:

LLMonitor natively supports:

Additionally you can use it with any framework by wrapping the relevant methods.

📚 Documentation

Full documentation is available on the website.

☁️ Hosted version

We offer a hosted version with a free plan of up to 1k requests / days.

With the hosted version:

  • 👷 don't worry about devops or managing updates
  • 🙋 get priority 1:1 support with our team
  • 🇪🇺 your data is stored safely in Europe

🙋 Support

Need help or have questions? Chat with us on Discord or email one of the founders: vince [at] llmonitor.com. We're here to support you every step of the way.

👨‍👩‍👧 Team

Made by @vincelwt and Hugh.

License

This project is licensed under the Apache 2.0 License.

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