ai-stp-cli
ai-stp-cli is the agent-driven local control plane for reproducible AI harness
setups. It exposes a strict JSON contract, local-first registry operations,
deterministic setup compilation and provider-owned installation lifecycle.
Install the public release with uv tool install ai-stp-cli, then run
ai-stp task intents --json. Source, specifications and security policy live in the
ai_stp repository.
1 maintainer
Metadata
1 maintainer
Release files for ai-stp-cli 0.0.39
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ai_stp_cli-0.0.39.tar.gz | 1.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ai_stp_cli-0.0.39-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.2 MB
Release files / ai_stp_cli-0.0.39.tar.gz
| Download URL | ai_stp_cli-0.0.39.tar.gz |
|---|---|
| Size | 1.4 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / ai_stp_cli-0.0.39-py3-none-any.whl
| Download URL | ai_stp_cli-0.0.39-py3-none-any.whl |
|---|---|
| Size | 1.8 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| 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 5, 2026.
Transparency log
