> For the complete documentation index, see [llms.txt](https://docs.interactive.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.interactive.ai/cli/iai_files_list.md).

# iai files list

List the files a project holds

## Synopsis

List a project's files, one entry per document at its current version.

```
iai files list [flags]
```

## Examples

```
  iai files list
  iai files list --limit 20
  iai files list --cursor <cursor>
  iai files list --json
```

## Options

```
      --columns strings       Columns to display
      --cursor string         Cursor from a previous page's next-page footer
  -h, --help                  help for list
      --json                  Output raw API response as JSON
      --limit int             Results per page (server default: 50)
  -o, --organization string   Organization name that owns the project
  -p, --project string        Project name
      --versions              Show every version of each listed file
      --yaml                  Output raw API response as YAML
```

## Options inherited from parent commands

```
      --api-key string               API key for authentication
      --cfg-file string              Path to YAML config file with organization, project, and optional service definitions
      --deployment-hostname string   Hostname for the deployment API (default "https://deployment.interactive.ai")
      --hostname string              Hostname for the API (default "https://app.interactive.ai")
```

## SEE ALSO

* [iai files](/cli/iai_files.md) - Manage documents stored in a project


---

# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.interactive.ai/cli/iai_files_list.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.