Introducing new (local) LlamaBot logging features
Alternatively titled: Making LlamaBot more useful!
Hello fellow datanistas!
Ever wondered how to keep a better track of your LLM interactions and evolve your prompts effectively?
I'm excited to share some recent enhancements I've made to LlamaBot, aimed at improving how we log and analyze LLM interactions. From automatic logging to a new web-based UI for visualization, these features are designed to make your data work harder and smarter.
One of the standout additions is the automatic logging of every LLM interaction into a local SQLite database, ensuring that you have a complete, easily accessible history of your interactions. Plus, with version-controlled prompt logging, you can now track how your prompts evolve over time, gaining insights into their development and refinement.
The new llamabot log-viewer launch command opens up a web-based UI where you can dive deep into your logged data. This tool allows you to visualize changes, compare different versions of prompts, and understand the impact of various parameters on your outputs. It's a game-changer for anyone serious about prompt engineering and LLM analysis.
Moreover, the ability to export logs in OpenAI format directly from the UI adds an extra layer of flexibility, making it easier to share insights or integrate them into other workflows.
If you're keen to delve deeper into your LLM interactions and refine your prompt crafting skills, these new LlamaBot features are just what you need. They're designed to help you iterate faster and more effectively, turning every interaction into a learning opportunity.
Feel free to check out the full details on my blog and share this post with anyone you think might find it useful. Here's where you can dive in: Introducing New Local LlamaBot Logging Features.
Happy coding!
Eric