Dynamic AI Agent for Optimized Anthropic Model Selection
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Intelligently route user queries to the most suitable Anthropic AI model (Opus 4 or Sonnet 4) for optimized response quality and efficiency. This automated system ensures you leverage the power of each model's strengths.
About This Workflow
Introducing the Dynamic Anthropic Agent Selector, an advanced automation workflow designed to intelligently route incoming chat messages to the optimal Anthropic large language model. This workflow empowers you to dynamically choose between the robust capabilities of Anthropic Opus 4 and the efficient processing of Anthropic Sonnet 4 based on the specific requirements of each user query. By analyzing the user's intent, the agent routes the request to the model best equipped to handle it, ensuring superior response accuracy, speed, and cost-effectiveness. This is achieved through an intelligent routing agent that understands the strengths of each model and an output parser that structures the decision for seamless integration.
Key Features
- Intelligent Model Routing: Automatically selects between Anthropic Opus 4 and Sonnet 4 based on query complexity and needs.
- Optimized Response Quality: Leverages the specific strengths of each model for better accuracy and relevance.
- Enhanced Efficiency: Routes simpler tasks to Sonnet 4, freeing up Opus 4 for more complex challenges.
- Structured Output: Ensures clear and consistent decision-making for model selection.
- Customizable System Prompts: Define agent behavior and access to tools like web search.
How To Use
- Trigger Setup: Configure the 'When chat message received' node to capture incoming user queries.
- Anthropic Routing Agent: Set up the 'Anthropic Routing Agent' with a system message that clearly defines the strengths of 'claude-sonnet-4-20250514' and 'claude-opus-4-20250514', instructing it to output a JSON object with 'prompt' and 'model' fields.
- Structured Output Parser: Connect the output of the routing agent to the 'Structured Output Parser' to extract the user's prompt and the selected model name.
- Model Selection: The extracted model name from the parser will dynamically determine which Anthropic LM node (e.g., 'Sonnet 4 or Opus 4') is invoked. This node uses the parsed model name to execute the request.
- Further Processing (Optional): Integrate additional nodes like 'AI Agent' (for complex reasoning with tools), 'Think', or 'Calculator' after the model selection to enrich the response or perform specific actions.
Apps Used
Workflow JSON
{
"id": "7bf61fe3-cb08-4ec0-9d0b-2d8147a75773",
"name": "Dynamic AI Agent for Optimized Anthropic Model Selection",
"nodes": 29,
"category": "Operations",
"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: 7bf61fe3-cb08...
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