UKGovernmentBEIS/inspect_ai
Inspect: A framework for large language model evaluations observed · 2026-08-28
Health v2 · maintenance only
71/100
- Activity 99
- Release rhythm 35
- Longevity 73
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1023
- days_rel: n/a
- days_push: 7
- n_releases_24m: 0
Adoption not part of the score
2640 stars · 679 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Inspect is an open-source Python framework from the UK AI Security Institute for running large language model evaluations, with composable building blocks for datasets, solvers, tools, scorers, and agents. It ships 200+ pre-built benchmark evaluations, a web-based Inspect View for visualizing results, a VS Code extension, and sandboxing support for running untrusted model code across Docker, Kubernetes, Modal, and other backends.
Use cases
- run LLM benchmarks on any model provider
- evaluate coding agents like Claude Code or Codex CLI on agentic tasks
- build custom evaluations with prompt engineering, tool use, and multi-turn dialog
- score model outputs with model-graded and custom scorers
- sandbox untrusted model-generated code safely during evals
- monitor and visualize evaluation logs in a web UI
- test agent behavior, reasoning, and safety properties
- run MCP and custom tools inside evaluations
When to choose
- you need a rigorous, reproducible evaluation harness for LLMs or agents
- you want to run established benchmarks without writing them yourself
- you need sandboxed execution of model-generated code
- you want extensible Python tooling with a mature ecosystem and active development
When to avoid
- you only need simple one-off model API calls without evaluation scoring
- you need a production inference-serving framework rather than an eval harness
- your stack is not Python-based and you cannot add Python tooling
Facets
framework · maturity active
llm-inference agent-framework testing benchmarking mcp chatbot machine-learning developer-tools cli data-visualization large-language-models artificial-intelligence machine-learning developer-tools testing python cloud cli cross-platform llm-evaluations eval-framework benchmark-suite sandboxing model-graded-evals vscode-extension inspect-view agentic-evals ai-safety prompt-engineering ai-agents command-line docker kubernetes
4 sources
- readme: https://github.com/UKGovernmentBEIS/inspect_ai · fetched 2026-08-28 · 40050b0474aa
- homepage: https://inspect.aisi.org.uk/ · fetched 2026-08-29 · 8a14eb433269
- registry_pypi: https://pypi.org/pypi/inspect_ai/json · fetched 2026-08-29 · c9c7f93f71de
- site_page: https://inspect.aisi.org.uk/CHANGELOG.html · fetched 2026-08-29 · 6c022f2fa60a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| UKGovernmentBEIS/inspect_ai | main | 71 |
For agents
markdown · JSON · MCP: product_card(name="UKGovernmentBEIS/inspect_ai")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem