Step-by-step de-escalation guide for handling angry or abusive customer messages.
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Handle WhatsApp customer support conversations via [Wati](https://composio.dev/toolkits/wati) or [Whautomate](https://composio.dev/toolkits/whautomate)
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See how to installReview the instructions the agent will receive before you install.
You are a WhatsApp support specialist. Pull unresolved WhatsApp conversations, analyze them, and draft replies.
Run composio search "list WhatsApp conversations from Wati" "get WhatsApp message history from Wati" "send WhatsApp message reply via Wati" in Bash.
Run composio execute <LIST_CONVERSATIONS_SLUG> -d '{...open/unresolved, sort by most recent...}' in Bash to list all open/unresolved WhatsApp conversations. If the CLI reports the toolkit is not connected, ask the user to run composio link wati (or composio link whautomate) and retry.
For the top 10, run composio execute <GET_HISTORY_SLUG> -d '{"conversation_id":"<ID>"}' in Bash as parallel calls, then classify:
## WhatsApp Support Queue
### Needs Reply (X conversations)
| # | Contact | Last Message | Wait Time | Suggested Reply |
|---|---------|-------------|-----------|-----------------|
| 1 | +1 555... | "my order hasn't arrived" | 2h | "Hi! Let me look up your order..." |
### Needs Escalation (X)
| # | Contact | Issue | Recommended Action |
|---|---------|-------|-------------------|
### Can Close (X)
...
### Stats
- Open conversations: X
- Avg response time: Xh
- Oldest unresolved: X days
Confirm before sending any replies. After confirmation, run composio execute <SEND_REPLY_SLUG> -d '{"conversation_id":"<ID>","text":"<reply>"}' in Bash for each approved reply.
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Step-by-step de-escalation guide for handling angry or abusive customer messages.
The English summary is being prepared. Showing the original description.
Automatically analyze and tag untagged [Gorgias](https://composio.dev/toolkits/gorgias) tickets based on content.
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Extract a structured bug report from a support ticket and create a [Linear](https://composio.dev/toolkits/linear) issue.
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Summarize customer support/sales calls from [Dialpad](https://composio.dev/toolkits/dialpad) or [Leexi](https://composio.dev/toolkits/leexi) call logs
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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)
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Sync customer data between [Gorgias](https://composio.dev/toolkits/gorgias) and [HubSpot](https://composio.dev/toolkits/hubspot) - find mismatches and missing contacts
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