LLM Chaining Examples
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Demonstrates building LLM chains with n8n using Anthropic.
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About This Workflow
LLM Chaining Examples
This workflow showcases how to construct a chain of LLM calls within n8n, utilizing the Anthropic Chat Model. It demonstrates prompt management, memory, and chaining multiple AI model interactions.
Key Features
- Integrates with Anthropic Chat Model.
- Manages and structures initial prompts.
- Implements simple memory for conversational context.
- Allows for flexible prompt manipulation and splitting.
- Can integrate with HTTP requests for external data.
How To Use
- Import the workflow into your n8n instance.
- Configure the Anthropic API credentials.
- Set the
WEBHOOK_URLenvironment variable if using the HTTP Request node. - Adjust prompts and memory settings as needed for your specific use case.
Apps Used
Workflow JSON
{
"id": "c45aa97d-d2e1-46ea-916d-839ea3987071",
"name": "LLM Chaining Examples",
"nodes": 0,
"category": "AI/Machine Learning",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: c45aa97d-d2e1...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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