> ## Documentation Index
> Fetch the complete documentation index at: https://docs.intelligence-management-platform.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Feedback

> The feedback type records user ratings and status on individual agent responses.

export const EditionBadge = ({edition}) => <Tooltip tip={edition === "ee" ? "Requires an Enterprise Edition license." : "Available in the Community Edition."}>
    <span style={{
  fontFamily: "RobotoMono, monospace",
  fontSize: "12px",
  textTransform: "uppercase",
  letterSpacing: "0.04em",
  border: "1px solid var(--imp-hair-light)",
  padding: "2px 8px"
}}>
      {edition === "ee" ? "Enterprise" : "Community"}
    </span>
  </Tooltip>;

<EditionBadge edition="ee" /> Feedback requires an Enterprise Edition license (`agent-feedback` entitlement).

`feedback` records capture thumbs-up/thumbs-down ratings and optional written descriptions linked to a specific agent session. Administrators can review and resolve open feedback items. See [Feedback](/building/feedback) for product context.

```graphql theme={null}
type feedback {
  description: String
  status: statusEnum
  agent: String
  session: String
  score: Float
  user: Float
  last_processed_at: Date
  embeddings_updated_at: Date
  createdAt: Date
  updatedAt: Date
  id: ID!
}
```

## Field notes

| Field                   | Notes                                                                                 |
| ----------------------- | ------------------------------------------------------------------------------------- |
| `status`                | One of `OPEN` or `SOLVED`; administrators mark items solved after review.             |
| `score`                 | Numeric rating submitted by the user (typically `1` for positive, `-1` for negative). |
| `agent`                 | ID string of the `agent` the feedback targets.                                        |
| `session`               | ID string of the `agent_session` this feedback was left on.                           |
| `user`                  | Numeric ID of the user who submitted the feedback.                                    |
| `last_processed_at`     | Timestamp of the last knowledge-embedding pass over this record.                      |
| `embeddings_updated_at` | Timestamp when vector embeddings were last regenerated.                               |

## Example query

```graphql theme={null}
query {
  feedbackPagination(
    limit: 20
    filters: [{ status: { eq: OPEN } }]
    sort: { field: "createdAt", direction: DESC }
  ) {
    items {
      id
      description
      status
      score
      agent
      session
      createdAt
    }
    pageInfo {
      currentPage
      hasNextPage
    }
  }
}
```