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

# Interactions

The **Interactions** page shows conversations between users and AI Agents.

It helps review user messages, assistant responses, interaction metadata, sentiment, CSAT, topics, and technical details for each conversation.

## Overview

Use the Interactions section to:

* Review chat and voice transcripts
* Check interaction status
* See the assigned AI Agent
* View model and usage details
* Analyze sentiment and CSAT
* Review topics, summaries, and keywords
* Inspect customer environment details

## Interaction Transcript

The transcript displays the full conversation between the user and the assistant.

Each message includes:

| Field     | Description                                                  |
| --------- | ------------------------------------------------------------ |
| Role      | Shows whether the message was sent by the user or assistant. |
| Timestamp | Shows when the message happened inside the interaction.      |
| Message   | Full text of the user or assistant message.                  |
| Sentiment | Displays detected user sentiment when available.             |

## Interaction Details

The details panel contains metadata about the selected interaction.

| Field             | Description                                          |
| ----------------- | ---------------------------------------------------- |
| Agent             | AI Agent used in the interaction.                    |
| Organization      | Organization where the interaction belongs.          |
| LLM Model         | Model used to generate assistant responses.          |
| Type              | Interaction type, such as Text Chat or Voice Call.   |
| Status            | Current interaction status, for example Finished.    |
| Messages Count    | Total number of messages in the interaction.         |
| Billable Messages | Number of messages counted for billing.              |
| Start Time        | Date and time when the interaction started.          |
| Duration          | Total interaction duration.                          |
| Browser           | User browser.                                        |
| OS                | User operating system.                               |
| IP Address        | User IP address.                                     |
| Country           | Detected user country.                               |
| City              | Detected user city.                                  |
| URL               | Page or platform URL where the interaction happened. |
| Total Costs       | Estimated interaction cost.                          |
| CSAT              | Customer satisfaction score.                         |
| CSAT Description  | Explanation of the detected satisfaction score.      |

## Topics Summary

The Topics Summary section provides an AI-generated overview of the interaction.

It may include:

| Field                 | Description                                         |
| --------------------- | --------------------------------------------------- |
| Topic                 | Main conversation topic.                            |
| Summary               | Short summary of the interaction.                   |
| Sentiment             | Detected customer sentiment.                        |
| Sentiment Description | Explanation of the detected sentiment.              |
| Keywords              | Important keywords extracted from the conversation. |

## Sentiment

Sentiment helps understand the customer’s emotional tone during the interaction.

Possible sentiment values may include:

* Positive
* Neutral
* Negative

<Info>
  Sentiment is generated automatically and should be used as a support signal, not as the only source of evaluation.
</Info>

## Notes

* Interaction details may vary depending on chat, voice, or integration type.
* Some fields may be empty if the data was not available.
* Costs are calculated based on platform billing logic.
* CSAT, sentiment, topics, and summaries are generated automatically.