Automated Multi-Agent AI Tool-Calling Evaluation
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This n8n workflow automates the rigorous evaluation of multi-agent AI systems, specifically verifying if your AI agents correctly identify and utilize the appropriate tools. It seamlessly integrates with datasets to provide continuous performance monitoring and quality assurance for your intelligent automations.
About This Workflow
Ensuring your AI agents reliably select and execute the correct tools is critical for building robust and trustworthy intelligent applications. This sophisticated n8n workflow provides a comprehensive framework for automated multi-agent evaluation. It allows you to define expected tool calls within a dataset (like Google Sheets), then triggers your AI agent with specific prompts. The workflow meticulously analyzes the agent's intermediate steps to confirm whether it correctly invoked the required tools. Metrics and actual tool calls are then logged back to your dataset, offering transparent, data-driven insights into your agent's performance and enabling continuous improvement of your AI-powered solutions.
Key Features
- Automated AI Agent Evaluation: Run your AI agents against predefined test cases to verify their behavior at scale.
- Precise Tool Calling Verification: Automatically check if your AI agents accurately identify and call the expected tools based on your evaluation criteria.
- Dataset-Driven Testing: Utilize Google Sheets (or similar) to manage evaluation datasets, expected outcomes, and log performance metrics.
- Flexible Multi-Agent Architecture: Features an AI agent capable of leveraging various tools, including nested workflows (like the Summarizer agent).
- Adaptive Workflow Logic: Differentiate between live chat interactions and evaluation runs, ensuring context-appropriate execution.
How To Use
- Configure Evaluation Dataset: Set up a Google Sheet with columns for
question,expected_response(optional), andtools_to_call(comma-separated list of expected tool names). - Connect Google Sheets: Ensure the "When fetching a dataset row" and "Set Outputs" nodes are connected to your Google Sheets account with appropriate credentials and document/sheet IDs.
- Customize the Search Agent: Adjust the
systemMessagein the "Search Agent" node to define your agent's persona and instructions for tool usage. Add or remove tools as needed (e.g.,toolCalculator,toolWorkflowfor summarization). - Define Tool Calling Logic: Modify the expression in the "Check if tool called" node if your evaluation criteria for tool verification change or if tool names differ.
- Run Evaluation: Trigger the workflow in evaluation mode (typically via a dedicated UI or API call) to process dataset rows and generate metrics.
Apps Used
Workflow JSON
{
"id": "5e47e0dc-c66d-4bff-bdc5-1e1912849e04",
"name": "Automated Multi-Agent AI Tool-Calling Evaluation",
"nodes": 26,
"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: 5e47e0dc-c66d...
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