> For the complete documentation index, see [llms.txt](https://docs.nlx.ai/platform/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.nlx.ai/platform/nlx-platform-guide/monitoring.md). # Monitoring - [Analytics](https://docs.nlx.ai/platform/nlx-platform-guide/monitoring/analytics.md): Easily track conversation performance and the metrics that matter with NLX - [Creating dashboards](https://docs.nlx.ai/platform/nlx-platform-guide/monitoring/analytics/creating-dashboards.md): Learn to construct powerful data visualizers for monitoring key metrics in your NLX workspace - [Formulas & multi-metrics](https://docs.nlx.ai/platform/nlx-platform-guide/monitoring/analytics/formulas-and-multi-metrics.md): Learn to apply calculated metrics to analytics dashboards in your NLX workspace - [Canvas analytics](https://docs.nlx.ai/platform/nlx-platform-guide/monitoring/analytics/canvas-analytics.md): Quickly analyze usage of your conversation flow in in NLX - [Analytics tags](https://docs.nlx.ai/platform/nlx-platform-guide/monitoring/analytics/analytics-tags.md): Define custom tags in your workspace to track performance of conversations in your NLX workspace - [User feedback](https://docs.nlx.ai/platform/nlx-platform-guide/monitoring/user-feedback.md): Collect user feedback on AI replies easily with the NLX platform - [Conversation history](https://docs.nlx.ai/platform/nlx-platform-guide/monitoring/conversation-history.md): Review past conversation history between users and applications in your NLX workspace - [Alerts & notifications](https://docs.nlx.ai/platform/nlx-platform-guide/monitoring/alerts-and-notifications.md): Review notifications and setup alert subscriptions in your NLX workspace - [Resource tags](https://docs.nlx.ai/platform/nlx-platform-guide/monitoring/resource-tags.md): Define custom tags in your workspace to better organize resources in your NLX workspace --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.nlx.ai/platform/nlx-platform-guide/monitoring.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.