# Inventory - [What is the Inventory?](https://docs.aiceberg.ai/inventory/what-is-the-inventory.md) - [What are Use Cases?](https://docs.aiceberg.ai/inventory/what-is-the-inventory/what-are-use-cases.md) - [Where do I connect to my LLM?](https://docs.aiceberg.ai/inventory/what-is-the-inventory/where-do-i-connect-to-my-llm.md) - [What are Profiles?](https://docs.aiceberg.ai/inventory/what-is-the-inventory/what-are-profiles.md) - [How are Profiles configured?](https://docs.aiceberg.ai/inventory/what-is-the-inventory/what-are-profiles/how-are-profiles-configured.md) - [Listen vs Enforce](https://docs.aiceberg.ai/inventory/what-is-the-inventory/what-are-profiles/listen-vs-enforce.md): What's the difference between listen & enforce? - [What are Collections?](https://docs.aiceberg.ai/inventory/what-is-the-inventory/what-are-collections.md) - [How do I add prompts to a Collection?](https://docs.aiceberg.ai/inventory/what-is-the-inventory/what-are-collections/how-do-i-add-prompts-to-a-collection.md) - [What's the CSV format for Collections?](https://docs.aiceberg.ai/inventory/what-is-the-inventory/what-are-collections/whats-the-csv-format-for-collections.md) --- # 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.aiceberg.ai/inventory.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.