xet-core / hf_xet
AGENTS.md625 starsChanged 15 days agoApache-2.0View on GitHub
PyO3 bindings that expose xet_pkg to Python as the hf_xet package used by huggingface_hub. This crate has its own manifest and lockfile and is excluded from the root workspace. Shared conventions are in the root guide. Run from the repository root unless noted. Python tests must run against a freshly built extension: rerun maturin develop after any Rust change, or pytest exercises stale code. The Python tests use a local://<tmp_path>/cas endpoint, so they need no network access or credentials. Fixtures…
- Installs packages
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,542 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository3 other files it gives its agents.
- AGENTS.mdAGENTS.md
- git_xet/AGENTS.mdAGENTS.md
- wasm/AGENTS.mdAGENTS.md
The file
We split this AGENTS.md into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 13
Run from the repository root unless noted.
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Agent Guide for hf_xet
PyO3 bindings that expose xet_pkg to Python as the hf_xet package used by huggingface_hub. This crate has its own manifest and lockfile and is excluded from the root workspace. Shared conventions are in the root guide.
Setup
- Activate a virtualenv, then
pip install maturin pytest. - Rust unit tests link against
libpython, so a Python development install must be available (CI installslibpython<ver>-dev). pyo3'sauto-initializefeature belongs in[dev-dependencies]only;tests/pyo3_features.rsenforces this. Do not add it to the regular dependency.
Build and test
Run from the repository root unless noted.
| Command | Purpose |
cargo +nightly fmt --manifest-path hf_xet/Cargo.toml --all -- --check | Format check |
cargo clippy -r --verbose --manifest-path hf_xet/Cargo.toml -- -D warnings | Lint |
cargo test --manifest-path hf_xet/Cargo.toml --verbose --no-fail-fast | Rust unit tests and manifest invariants |
(cd hf_xet && maturin develop) | Build and install the extension into the active virtualenv |
pytest hf_xet/tests/ -v | Python integration tests against the rebuilt extension |
(cd hf_xet && maturin build) | Produce a wheel |
Python tests must run against a freshly built extension: rerun maturin develop after any Rust change, or pytest exercises stale code.
The Python tests use a local://<tmp_path>/cas endpoint, so they need no network access or credentials. Fixtures and upload helpers live in tests/conftest.py; add new tests as test_... functions or Test... classes using tmp_path and the endpoint fixture.
hf_xet/Cargo.lock is committed. Commit it when dependency changes update it; CI fails otherwise.
Downstream tests
The hf-xet-tests workflow builds this crate and runs huggingface_hub's tests/test_xet_*.py against it. For changes to the Python API surface, run those tests locally against a checkout of huggingface_hub installed with pip install -e 'huggingface_hub[testing]'.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

