Dynamically Switch Between LLMs with Ease
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Effortlessly route your AI tasks to different Large Language Models based on dynamic conditions. This template allows you to programmatically select the best LLM for each request, optimizing performance and cost.
About This Workflow
This n8n workflow template empowers you to build intelligent automation that leverages the power of multiple Large Language Models (LLMs) without manual intervention. By dynamically switching between different LLM models like OpenAI's GPT-4o-mini, GPT-4o, and others, you can ensure optimal resource utilization and cost-effectiveness for your AI-powered applications. The workflow triggers on receiving a chat message, assesses the input to determine the best LLM to use, and routes the request accordingly. It includes robust error handling and fallback mechanisms to maintain workflow stability.
Key Features
- Dynamic LLM Selection: Automatically choose the most suitable LLM based on request parameters.
- Multi-Model Support: Seamlessly integrate with various OpenAI models.
- Code-Based Logic: Utilize JavaScript to define custom switching logic.
- Robust Error Handling: Gracefully manage errors and unexpected outcomes.
- Extensible Design: Easily add more LLMs and complex routing rules.
How To Use
- Trigger Setup: Configure the 'When chat message received' node with your preferred webhook or trigger.
- Initial LLM Index: Set the 'Set LLM index' node to define the default LLM to use (0 for the first in the list).
- LLM Definitions: Add your desired OpenAI LLM nodes (e.g., 'OpenAI 4o-mini', 'OpenAI 4o') and ensure they are connected to the 'Switch Model' node. The order in which they are connected determines their index.
- Switching Logic: The 'Switch Model' node uses the
llm_indexto select the appropriate LLM from the input. You can modify the code within this node to implement more complex switching logic. - Error Handling: The 'Check for expected error' node helps manage issues during LLM selection or execution, directing to specific 'Set' nodes for error messages.
- Output: The 'Return result' node consolidates the output from the executed LLM, or provides an error message if something went wrong.
Apps Used
Workflow JSON
{
"id": "8d4e5cb8-b11e-4d88-9215-4617e26d5c73",
"name": "Dynamically Switch Between LLMs with Ease",
"nodes": 18,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 8d4e5cb8-b11e...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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