Lessons learned from integrating OpenAI into a Grafana data source

Interest in generative AI and large language models (LLMs) has surged, with tools like ChatGPT demonstrating the practical use of these models for generating prose, rewriting emails, and even coding. Grafana Labs has been exploring how to integrate LLMs into their open-source projects, particularly by enhancing their query editor with an LLM, starting with the Azure Data Explorer (ADX) data source. By employing a "Copilot model," similar to GitHub's Copilot, Grafana allows users to generate query suggestions that they can easily modify or discard, ensuring the LLM's potential inaccuracies do not disrupt workflows. The integration involves using OpenAI to convert natural language prompts into Kusto Query Language (KQL) snippets, with users providing their own OpenAI API keys to maintain flexibility and security. The initiative has been successful, prompting plans for further expansion and feature development, including potential enhancements to improve user experience and support for additional data sources.

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