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lunary

Developer toolkit for LLM chatbots

website - docs

npm version PyPI - Version GitHub last commit (by committer) GitHub commit activity (branch)

Features

Lunary helps developers of LLM Chatbots develop and improve them.

  • 🖲️ Conversation & feedback tracking
  • 💵 Analytics (costs, token, latency, ..)
  • 🔍 Debugging (logs, traces, user tracking, ..)
  • ⛩️ Prompt Directory (versioning, team collaboration, ..)
  • 🏷️ Create fine-tuning datasets
  • 🧪 Automatic topic classification

It also designed to be:

  • 🤖 Usable with any model, not just OpenAI
  • 📦 Easy to integrate (2 minutes)
  • 🧑‍💻 Self-hostable

1-min Demo

demo720.mp4

⚙️ Integration

Modules available for:

Lunary natively supports:

Additionally you can use it with any other LLM by manually sending events.

📚 Documentation

Full documentation is available on the website.

☁️ Hosted version

We offer a hosted version with a free plan of up to 10k requests / month.

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

Running locally

  1. Clone the repository
  2. Setup a PostgreSQL instance (version 15 minimum)
  3. Copy the content of packages/backend/.env.example to packages/backend/.env and fill the missing values
  4. Copy the content of packages/frontend/.env.example to packages/backend/.env
  5. Run npm install
  6. Run npm run migrate:db
  7. Run npm run dev

You can now open the dashboard at http://localhost:8080. When using our JS or Python SDK, you need to set the environment variable LUNARY_API_URL to http://localhost:3333. You can use LUNARY_VERBOSE=True to see all the event sent by the SDK

🙋 Support

Need help or have questions? Chat with us on the website or email us: hello [at] lunary.ai. We're here to help every step of the way.

License

This project is licensed under the Apache 2.0 License.