Skip to main content

Framework for large language model evaluations

Project description

Welcome to Inspect, a framework for large language model evaluations created by the UK AI Security Institute.

Inspect provides many built-in components, including facilities for prompt engineering, tool usage, multi-turn dialog, and model graded evaluations. Extensions to Inspect (e.g. to support new elicitation and scoring techniques) can be provided by other Python packages.

To get started with Inspect, please see the documentation at https://inspect.aisi.org.uk/.

Inspect also includes a collection of over 100 pre-built evaluations ready to run on any model (learn more at Inspect Evals)


To work on development of Inspect, clone the repository and install with the -e flag and [dev] optional dependencies:

git clone https://github.com/UKGovernmentBEIS/inspect_ai.git
cd inspect_ai
pip install -e ".[dev]"

Optionally install pre-commit hooks via

make hooks

Run linting, formatting, and tests via

make check
make test

If you use VS Code, you should be sure to have installed the recommended extensions (Python, Ruff, and MyPy). Note that you'll be prompted to install these when you open the project in VS Code.

Frontend development (TypeScript)

The web UI lives in a git submodule at src/inspect_ai/_view/ts-mono/. These steps are only needed if you plan to work on the TypeScript/React frontend — Python-only contributors can skip this entirely.

Initialize the submodule and install dependencies — see the one-time setup guide.

Documentation

To work on the Inspect documentation, install the optional [doc] dependencies with the -e flag and build the docs:

pip install -e ".[doc]"
cd docs
quarto render # or 'quarto preview'

If you intend to work on the docs iteratively, you'll want to install the Quarto extension in VS Code.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

inspect_ai-0.3.203.tar.gz (42.5 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

inspect_ai-0.3.203-py3-none-any.whl (33.3 MB view details)

Uploaded Python 3

File details

Details for the file inspect_ai-0.3.203.tar.gz.

File metadata

  • Download URL: inspect_ai-0.3.203.tar.gz
  • Upload date:
  • Size: 42.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for inspect_ai-0.3.203.tar.gz
Algorithm Hash digest
SHA256 576d8fbc15a2ad64b9080520f9088d57934c112b99a747505916e1c95a1d289c
MD5 63a87eca5ba2fe43341391b445b5619e
BLAKE2b-256 897854882838ccfb70dd9e35a4a4f30d811e4b29249961aaf44b88e3bf1cfef5

See more details on using hashes here.

File details

Details for the file inspect_ai-0.3.203-py3-none-any.whl.

File metadata

  • Download URL: inspect_ai-0.3.203-py3-none-any.whl
  • Upload date:
  • Size: 33.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for inspect_ai-0.3.203-py3-none-any.whl
Algorithm Hash digest
SHA256 894cff8873f033a7dd8391bb5317fbfa6bb35478622a72504ef32822b4f2bf79
MD5 e404bbfc1429bde89e2f15a29815d2ce
BLAKE2b-256 eb0a79e771a4eb862cc874ac08c2e88332023b961594267651d0b54a6e982f52

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page