Azure AI Evaluation SDK
🧱 TL;DR
Azure AI Evaluation SDK is a leading tool for AI evaluations that allows us to access model and AI accuracy even after the model is done being trained. It is actively being developed and improved by Microsoft, thus we should be looking at leveraging this on our AI engagements.
🚦 Radar Status
| Field |
Value |
| Technology/Topic Name |
Azure AI Evaluation SDK |
| Radar Category |
Adopt |
| Category Rationale |
This is a leading tool in AI assessment |
| Date Evaluated |
2025/08/14 |
| Version |
1.10 |
| Research Owner |
Dustin Luhmann |
💡 Why It Matters
- Enables consistent, scalable evaluation of generative AI apps to ensure performance, safety, and reliability.
- Rising enterprise adoption of LLMs demands trustworthy and auditable AI systems amid evolving regulations.
- Combines code-based and LLM-based evaluators with deep Azure integration for seamless cloud and local assessments.
📊 Summary Assessment
| Criteria |
Status (✅ / ⚠️ / ❌) |
Notes / Explanation |
| Maturity Level |
✅ |
Public preview with active development and production use cases. |
| Innovation Value |
✅ |
Introduces novel standards and strong Azure integration in a new space. |
| Integration Readiness |
✅ |
Easily integrates with Azure stack and supports flexible deployment. |
| Documentation & Dev UX |
✅ |
Comprehensive docs, tutorials, and community support available. |
| Tooling & Ecosystem |
✅ |
Compatible with diverse models and environments beyond Azure. |
| Security & Privacy |
⚠️ |
Neutral—risks are inherited from models, not the SDK itself. |
| Licensing Viability |
✅ |
Open-source with no cost and backed by Microsoft. |
| Use Case Fit |
✅ |
Aligns with AI observability and client delivery needs. |
| Performance & Benchmarking |
✅ |
Scalable but has latency and cost concerns to be transparent about. |
| Community & Adoption |
✅ |
Strong traction and usage across Microsoft and external organizations. |
| Responsible AI |
⚠️ |
This is largely inherited from the model you are using to run any LLM models. |
🛠️ Example Use Cases
- Evaluating a pre-production chatbot that uses RAG to process requests from end users.
- Evaluating and monitoring the performance and degradation of an AI model overtime.
- Evaluating multi-agent systems where AI agents collaborate, communicate, and use tools to complete complex tasks.
📌 Key Findings
- Azure AI Evaluation SDK is a leading tool for AI evaluations and is actively being improved upon by Microsoft.
- Azure AI Evaluation SDK has integrations with Azure Foundry, App Insights and Monitor to increase AI Observability.
- Azure AI Evaluation SDK supports both code-based and LLM-based evaluators, enabling flexible and context-aware assessments across diverse AI use cases.
🧪 Test Summary
- The SDK is easily setup to allow you to begin running AI evaluations quickly.
- The integrations with Azure Foundry and easily setup and available to the user.
🧷 Resources
🧠 Recommendation
- Consultants: Including this tool on AI projects will impower us to sell our clients on AI observability that will help us stand out in the market.
- Engineers: This tool is versatile and allows for metric capturing that should be done early and often.
- Product Teams: Azure Monitor can be setup to view any insights and begin tracking the changes over time.
🔁 Follow-ups / Watchlist
- This tool is in active development so changes are expected and this tool should be watched to ensure we stay ahead of the curve.
✍️ Author Notes
This tool has been used successfully and a handful of projects within 3Cloud at time of writing. Please reach out to me, Dustin Luhmann, if you have any questions or interest in this tool.