Call center analytics with dual-AI verification using DeepSeek models
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 8 nodes and runs when an HTTP GET request hits its webhook URL (plus 1 other trigger). Along the way it connects DeepSeek Chat Model.
How it runs
Trigger: When an HTTP GET request hits its webhook URL (plus 1 other trigger).
- Report (Basic LLM Chain): sends a prompt to an LLM, with model: DeepSeek Reasonning
- Example data (Code): runs custom JavaScript code
- Recheck (Basic LLM Chain): sends a prompt to an LLM, with model: DeepSeek Chat
- HTTP Request: calls an HTTP API (POST)
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (6)
- Manual Trigger
n8n-nodes-base.manualTrigger - HTTP Request
n8n-nodes-base.httpRequest - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - DeepSeek Chat Model
@n8n/n8n-nodes-langchain.lmChatDeepSeek - Code
n8n-nodes-base.code - Webhook
n8n-nodes-base.webhook
From the author
The workflow is well-designed for CRM analysis with a robust quality control mechanism. The dual-AI approach ensures reliable results, while the webhook integration makes it production-ready for real-time CRM data processing. - Dual-AI Architecture: Uses…