The Agent Decisioner is a dynamic, AI-powered routing system that automatically selects the most appropriate large language model (LLM) to respond to a user's query based on the query’s content and purpose.
This workflow ensures dynamic, optimized AI responses by intelligently routing queries to the best-suited model.
Advantages
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🔁 Automatic Model Routing:
Automatically selects the best model for the job, improving efficiency and relevance of responses.
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🎯 Optimized Use of Resources:
Avoids overuse of expensive models like GPT-4 by routing simpler queries to lightweight models.
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📚 Model-Aware Reasoning:
Uses detailed metadata about model capabilities (e.g., reasoning, coding, web search) for intelligent selection.
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📥 Modular and Extendable:
Easy to integrate with other tools or expand by adding more models or custom decision logic.
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👨💻 Ideal for RAG and Multi-Agent Systems:
Can serve as the brain behind more complex agent frameworks or Retrieval-Augmented Generation pipelines.
How It Works
- Chat Trigger: The workflow starts when a user sends a message, triggering the Routing Agent.
- Model Selection: The AI Agent analyzes the query and selects the best-suited model from the available options (e.g., Claude 3.7 Sonnet for coding, Perplexity/Sonar for web searches, GPT-4o Mini for reasoning).
- Structured Output: The agent returns a JSON response with the user’s prompt and the chosen model.
- Execution: The selected model processes the query and generates a response, ensuring optimal performance for the task.
Set Up Steps
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Configure Nodes:
- Chat Trigger: Set up the webhook to receive user messages.
- Routing Agent (AI Agent): Define the system message with model strengths and JSON output rules.
- OpenRouter Chat Model: Connect to OpenRouter for model access.
- Structured Output Parser: Ensure it validates the JSON response format (
prompt
+ model
).
- Execution Agent (AI Agent1): Configure it to forward the prompt to the selected model.
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Connect Nodes:
- Link the Chat Trigger to the Routing Agent.
- Connect the OpenRouter Chat Model and Output Parser to the Routing Agent.
- Route the parsed JSON to the Execution Agent, which uses the chosen model via OpenRouter Chat Model1.
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Credentials:
- Ensure OpenRouter API credentials are correctly set for both chat model nodes.
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Test & Deploy:
- Activate the workflow and test with sample queries to verify model selection logic.
- Adjust the routing rules if needed for better accuracy.
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