Ollama LLM Router (Community Contributed)
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Dynamically route user prompts to the most suitable Ollama LLM based on prompt content.
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About This Workflow
Overview
This workflow acts as a dynamic router for self-hosted Ollama Language Models. It analyzes incoming user prompts and intelligently selects the most appropriate LLM from a predefined list based on the task requirements, such as reasoning, language, coding, or vision capabilities. This allows for optimized LLM utilization and improved performance.
Key Features
- Dynamically selects the best LLM for a given prompt.
- Supports various LLM types including text-only, coding, and vision models.
- Customizable classification rules and decision tree for LLM routing.
- Utilizes Ollama for local, self-hosted LLM inference.
- Includes a 'Try Me!' node for easy testing.
How To Use
- Import this workflow into your n8n instance.
- Configure the 'Ollama account' credential with your local Ollama API details.
- Ensure your Ollama server is running and the specified LLM models are available.
- Use the 'Manual Trigger' node to test the workflow by providing different user prompts.
- The 'LLM Router' node will determine the best LLM, and the 'Ollama Dynamic LLM' node will execute the request with the chosen model.
Apps Used
Workflow JSON
{
"id": "3ce6c8a6-d435-4407-b4ca-4582ed080e24",
"name": "Ollama LLM Router (Community Contributed)",
"nodes": 0,
"category": "LLM",
"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: 3ce6c8a6-d435...
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N8N_Community_Pick
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