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PreiyaaKedia
PreiyaaKediaCOMMUNITY
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Agent Evaluation with Azure AI Projects SDK v2

Automates AI agent testing and validation using Azure AI Projects SDK v2.

2|2|Updated Feb 2, 2026
Search Tags:#automation#evaluation#quality-assurance#sdk-v2#agent-testing#azure-ai
One-click install
npx skills add https://github.com/PreiyaaKedia/agent-evaluation-v2 --skill agent-evaluation-with-azure-ai-projects-sdk-v2
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Agent Evaluation with Azure AI Projects SDK v2
Source: https://github.com/PreiyaaKedia/agent-evaluation-v2/tree/main/evaluation
Command: npx skills add https://github.com/PreiyaaKedia/agent-evaluation-v2 --skill agent-evaluation-with-azure-ai-projects-sdk-v2

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires azure-ai-projects, python-dotenv, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the complexity of validating AI agent performance by automating the end-to-end pipeline of execution, dataset generation, and multi-metric evaluation.

Core Features & Use Cases

  • Automated Evaluation Pipeline: Executes agents with real function tools and captures multi-turn interactions for analysis.
  • Built-in Evaluator Suite: Supports 12 specialized evaluators covering tool accuracy, task completion, and response quality.
  • Use Case: A developer can use this to automatically test an e-commerce agent against a suite of 10+ business scenarios, ensuring that tool calls, intent resolution, and groundedness meet production standards before deployment.

Quick Start

Run the comprehensive agent evaluation script to execute test cases and generate a full performance report by executing the comprehensive_agent_evaluation.py script.

Frequently Asked Questions about Agent Evaluation with Azure AI Projects SDK v2

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate end-to-end evaluation for Azure AI agents?▼

Automate Azure AI agent evaluation by executing the comprehensive_agent_evaluation.py script, which runs test cases, captures multi-turn interactions, and generates a full performance report using 12 built-in evaluators.

What built-in evaluators are available for testing AI agent response quality and tool accuracy?▼

The evaluation pipeline includes 12 specialized built-in evaluators that assess tool accuracy, task completion, and response quality to validate agent performance against production standards.

Do I need the azure-ai-projects SDK and environment variables configured to run agent testing?▼

Yes, you need the azure-ai-projects SDK and python-dotenv installed, plus configured environment variables for Azure AI project connectivity to execute the automated agent evaluation pipeline.

Can I generate test datasets from live agent interactions automatically?▼

Yes, the evaluation pipeline executes agents with real function tools and automatically captures multi-turn interactions to generate test datasets for comprehensive performance analysis.

What's the best way to validate an e-commerce agent against multiple business scenarios before deployment?▼

Run the comprehensive agent evaluation script to test the e-commerce agent against 10+ business scenarios, ensuring tool calls, intent resolution, and groundedness meet production standards before deployment.

Does this agent testing approach work with multi-turn conversations and function tools?▼

Yes, the automated evaluation pipeline specifically executes agents with real function tools and captures multi-turn interactions to analyze performance across complex conversational flows.

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