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-0.3.202.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-0.3.202-py3-none-any.whl (33.3 MB view details)

Uploaded Python 3

File details

Details for the file inspect_ai-0.3.202.tar.gz.

File metadata

  • Download URL: inspect_ai-0.3.202.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-0.3.202.tar.gz
Algorithm Hash digest
SHA256 de8a575a041ea7e84913eddea4f6512accdf62924f496383eb8a77a58e5f96b3
MD5 0d94f5860bfaf9ebaef3a7ca41c49b95
BLAKE2b-256 862b20b237f8bf21a8b209585655f1bccc780ac50f91a297b0645c0f7a061b34

See more details on using hashes here.

File details

Details for the file inspect_ai-0.3.202-py3-none-any.whl.

File metadata

  • Download URL: inspect_ai-0.3.202-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-0.3.202-py3-none-any.whl
Algorithm Hash digest
SHA256 91fa45b2e16c709cf269651e8fdb80f353ca933fa80647b32b66a5be5601a42b
MD5 31c016247703e700ec4db8f20ed23df5
BLAKE2b-256 f5975405c4e2acfc70e70a65aad10ca5b15c45d437df29a77db71d4157642c45

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