Hawk
Hawk is a platform for running Inspect AI evaluations at scale on cloud infrastructure. You describe the tasks, agents, and models to evaluate in a YAML config, and Hawk handles the rest: provisioning isolated Kubernetes pods, managing LLM API credentials, streaming logs, importing results into a PostgreSQL warehouse, and serving a web UI to browse them. It also runs Inspect Scout scans over transcripts from completed evaluations.
📚 Full documentation: hawk.metr.org
Install the CLI
Install from PyPI with uv (or pip):
uv tool install "hawk[cli]" # or: pip install "hawk[cli]"
See the installation guide for pinning to a deployment and installing from source.
Python client
pip install "hawk[client]"
import asyncio
from hawk.client import HawkClient
async def main() -> None:
async with HawkClient() as client:
print(await client.get_jobs(mine=True, limit=5))
asyncio.run(main())
Uses HAWK_API_URL and a token from token=, HAWK_ACCESS_TOKEN, or hawk login.
Does not prompt for login.
See the installation guide
and the Python client API.
Run your first eval
export HAWK_API_URL=https://api.hawk.example.com # your Hawk deployment
hawk login
hawk eval-set my-eval-set.yaml # write your own, or grab an example from the repo's hawk/examples/
hawk logs -f # watch it run
hawk web # open results in the browser
See Running Evaluations for a ready-to-run example config.
Documentation
- Installation — install the CLI and run your first eval
- Running Evaluations — eval set configs, secrets, local runs
- Running Scans — Inspect Scout scans over transcripts
- CLI Reference — full command reference
- Python client —
hawk[client]API - Deploy your own Hawk — stand up a Hawk instance on AWS
- Contributing — developer setup and testing
License
Metadata
Release files for hawk 3.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hawk-3.7.0.tar.gz | 4.6 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hawk-3.7.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.8 MB
Release files / hawk-3.7.0.tar.gz
| Download URL | hawk-3.7.0.tar.gz |
|---|---|
| Size | 4.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Signed by GitHub Actions, verified by PyPI on Oct 7, 2026.
Transparency logRelease files / hawk-3.7.0-py3-none-any.whl
| Download URL | hawk-3.7.0-py3-none-any.whl |
|---|---|
| Size | 1.2 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
dfd34ddc9a4bbaecb124d8e65b6d5253d14244bcd3878f0b5a6facf23ef45812
|
|
BLAKE2b-256 checksum How to use checksums |
fea2136e470ae4a2f95f181687127160c26eca412509de0279b1abfcadc4a1cc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 7, 2026.
Transparency log
