# Features - [Summary & Metrics](https://docs.gptboost.io/features/summary-and-metrics.md): All stylized in your GPTBoost Dashboard - [Request logs](https://docs.gptboost.io/features/request-logs.md): Details for all successful requests to the LLMs - [Error Logs](https://docs.gptboost.io/features/error-logs.md): Oops, something went wrong... - [Models Usage](https://docs.gptboost.io/features/models-usage.md): Marketer's love - [Annotation Agents](https://docs.gptboost.io/features/annotation-agents.md): Precision in Data Labeling: The Role of Agents - [User Feedback & Voting](https://docs.gptboost.io/features/user-feedback-and-voting.md): Shaping Excellence with User Feedback - [Integration](https://docs.gptboost.io/features/user-feedback-and-voting/integration.md): Seamless Integration of User Feedback & Voting - [The Value of User Feedback](https://docs.gptboost.io/features/user-feedback-and-voting/the-value-of-user-feedback.md): Exploring User Feedback and Its Benefits --- # Agent Instructions: 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: ``` GET https://docs.gptboost.io/features.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.