For the complete documentation index, see llms.txt. This page is also available as Markdown.

Inbox co-pilot

Help live agents draft replies, summarise conversations, and resolve cases from the Inbox.

Inbox co-pilot is fully powered by Proto-hosted LLM models. Data is not exchanged with third parties. Questions and responses remain private and are never visible to the person.

Inbox co-pilot is a Proto-hosted LLM assistant available for livechats and tickets. It can use conversation context, person history, and a dedicated knowledge base to answer questions and recommend responses.


Ask the co-pilot

  1. Go to Inbox.

  2. Select a livechat or ticket.

  3. Select Co-pilot in the conversation details panel.

  4. Enter a question.

Use the co-pilot to draft a reply, summarise the conversation, or retrieve information from its knowledge base.


Draft a reply

  1. Select a conversation in the Inbox.

  2. Select Draft reply above the message composer.

The Co-pilot tab opens automatically and asks, What should I reply? The co-pilot uses the current conversation to suggest a response.

Select one of the following:

Option
Result

Accept

Places the suggested reply in the composer without sending it. You can edit it before sending.

Deny

Dismisses the suggestion and leaves the composer unchanged.


Mediate a conversation

Mediate mode uses more extensive reasoning to help the live agent understand and resolve a case. Its response can analyse the situation, possible root cause, customer sentiment and stakes, available options, recommended resolution, and next steps or risks.

  1. Select Mediate above the message composer.

  2. Ask a question in the Co-pilot tab.

Mediate mode remains active across subsequent questions. Select Mediate again to turn it off.

If you ask for a suggested reply, the co-pilot provides Accept and Deny controls. Accepting the suggestion places it in the composer without sending it.


Configure Inbox co-pilot

Go to Settings → Teamspace → Inbox co-pilot. Configuration is split across the Agent and Knowledge tabs.

Agent

Data access

Choose which information the co-pilot can use when answering live agents.

Setting
Description

Access all conversations

Allows the co-pilot to reference any conversation in the workspace.

Access current person's profile and conversation history

Allows the co-pilot to reference the open person's profile and previous conversations.

Access current conversation

Allows the co-pilot to reference and mediate the active conversation. Required for mediation.


Personalisation

Select the LLM used by the co-pilot and edit its personality prompt. The prompt defines the co-pilot's role, environment, tone, goals, and general behaviour.

Select Save to confirm your changes.


Knowledge

The Inbox co-pilot has a dedicated knowledge base. These sources provide information to the live-agent assistant and are separate from the sources used to train customer-facing AI agents.

Select one of the three options at the top of the Knowledge base table.

Upload a file

Supported file types: CSV, JSON, PDF Maximum file size: 5 MB

  1. Select Upload file.

  2. Enter a name for the source.

  3. Drag and drop the file or select Browse Files.

  4. Select Create.


Add a URL

  1. Select Add URL.

  2. Enter a name and the full HTTPS URL.

  3. Choose a scope:

    • URL webpage uses only the page at the specified URL.

    • All webpages crawls and trains on pages linked from the URL.

  4. Optionally enable automatic retraining and select an interval.

  5. Select Create.


Paste a snippet

  1. Select Paste snippet.

  2. Enter a name.

  3. Paste or enter the content in Text snippet.

  4. Select Create.


Manage knowledge sources

The Knowledge base table displays each source's name, last-updated date, and status.

Status
Meaning

Pending

Queued for training

Loading

Training in progress

Success

Trained and active

Fail

Training failed—remove the source and try again

To delete a source, select its row and use the delete option.


InboxMessage editorRoles & permissionsKnowledge

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