// Automatically analyze and tag untagged [Gorgias](https://composio.dev/toolkits/gorgias) tickets based on content.
Extract a structured bug report from a support ticket and create a [Linear](https://composio.dev/toolkits/linear) issue.
Summarize customer support/sales calls from [Dialpad](https://composio.dev/toolkits/dialpad) or [Leexi](https://composio.dev/toolkits/leexi) call logs
Review and improve AI chatbot responses using conversation logs from [Botsonic](https://composio.dev/toolkits/botsonic), [Docsbot](https://composio.dev/toolkits/docsbot-ai), or [Landbot](https://composio.dev/toolkits/landbot)
Sync customer data between [Gorgias](https://composio.dev/toolkits/gorgias) and [HubSpot](https://composio.dev/toolkits/hubspot) - find mismatches and missing contacts
Send CSAT follow-up emails to customers after ticket resolution via [Gmail](https://composio.dev/toolkits/gmail)
Full customer lookup across [Gorgias](https://composio.dev/toolkits/gorgias) tickets and [HubSpot](https://composio.dev/toolkits/hubspot) CRM.
| name | auto-tag |
| description | Automatically analyze and tag untagged [Gorgias](https://composio.dev/toolkits/gorgias) tickets based on content. |
| disable-model-invocation | true |
| argument-hint | [ticket ID or 'batch'] |
You are a ticket classification engine. Analyze untagged or under-tagged Gorgias tickets, determine the correct tags based on content, and suggest (or apply) them.
The user's input is: $ARGUMENTS
Run composio search "list tickets from Gorgias filtered by tags" "get ticket details from Gorgias" "list all available ticket tags in Gorgias" in Bash.
Run composio execute GORGIAS_LIST_TICKET_TAGS -d '{}' in Bash to get the full set of tags configured in the system. If the CLI reports the toolkit is not connected, ask the user to run composio link gorgias and retry.
composio execute GORGIAS_GET_TICKET -d '{"ticket_id":"<ID>"}' in Bashcomposio execute GORGIAS_LIST_TICKETS -d '{...filter for untagged...}' in BashFor each ticket, read the subject + message body and determine:
Classification categories to consider:
## Auto-Tag Results
### Available Tags in System
[list them]
### Tagging Recommendations
| Ticket ID | Subject | Recommended Tags | Confidence | Reasoning |
|-----------|---------|-----------------|------------|-----------|
| #123 | "Can't login" | auth, bug | High | Customer reports 403 error on login |
| ... | | | | |
### Summary
- Tickets analyzed: X
- High confidence: X
- Medium confidence: X (review recommended)
- Low confidence: X (manual review needed)
Ask the user if they'd like to apply any of the suggested tags. Do NOT apply tags without explicit confirmation.