Catalogue of Tools & Metrics for Trustworthy AI

These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.

Inspect



Inspect

Inspect is an open-source framework for large language model evaluations created by the UK AI Security Institute. Inspect is a flexible evaluation framework designed to measure model performance across diverse domains, including coding, reasoning, agentic tasks, knowledge, behavior, and multi-modal understanding.

Some of the key features include:

  • A set of straightforward interfaces for implementing evaluations and re-using components across evaluations.
  • Extensive tooling, including a web-based Inspect View tool for monitoring and visualizing evaluations and a VS Code Extension that assists with authoring and debugging.
  • Flexible support for tool calling—custom and MCP tools, as well as built-in bash, python, text editing, web search, web browsing, and computer tools.
  • Support for agent evaluations, including flexible built-in agents, multi-agent primitives, the ability to run arbitrary external agents, and agent observability in Inspect View.
  • A sandboxing system that supports running untrusted model code in Docker, Kubernetes, Proxmox, and other systems via an extension API.

The Inspect tutorial provides a step-by-step walkthrough of examples of Inspect evaluations.

AI Security Institute, UK. 2024. “Inspect AI: Framework for Large Language Model Evaluations.” https://github.com/UKGovernmentBEIS/inspect_ai.

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Tags:

  • evaluation
  • large language model
  • Multimodal interaction

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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.