Skip to main content

spangloss

Dr. Pangloss assumed everything was for the best. Spangloss checks.

Spangloss adds security labels to AI agent telemetry. It asks a decision model narrow, typed questions about each OpenTelemetry span — what the call does, what data it touches, whether a tool result contains instructions aimed at the agent — and writes the answers back as sec.* attributes with probabilities. Detections and audits can then run over labels instead of raw prompts.

Status: early development. The first public release, with a published label taxonomy and per-label evaluation results, is planned for late November 2026.

Metadata

Release files for spangloss 0.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for spangloss 0.0.1
File Size Uploaded Provenance Actions
spangloss-0.0.1.tar.gz 7.1 kB Without provenance Details for spangloss-0.0.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for spangloss 0.0.1
File Interpreter ABI Platform Actions
spangloss-0.0.1-py3-none-any.whl Python 3 none any Details for spangloss-0.0.1-py3-none-any.whl

Total release size: 13.2 kB

Release files / spangloss-0.0.1.tar.gz

Download URL spangloss-0.0.1.tar.gz
Size 7.1 kB
Tags Source
SHA-256 checksum
How to use checksums
69406ea1259c8ce5436a68bfa833e4e3473a5014a4a30483043f9b0b7c749bbb
BLAKE2b-256 checksum
How to use checksums
5d2283d82f258b58dc110980318ec708a52094d1cc9a866e34f548fbe4a97d7a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.13.6 {"installer":{"name":"uv","version":"0.13.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

Release files / spangloss-0.0.1-py3-none-any.whl

Download URL spangloss-0.0.1-py3-none-any.whl
Size 6.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
64d4d10221cdf47e4fbcb06e446cea6ac7aa23200f5d270e8e9f25c39786161d
BLAKE2b-256 checksum
How to use checksums
2c61a531842605102773578d6419b762c48011e1d2e4c12e8eed877923637851
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.13.6 {"installer":{"name":"uv","version":"0.13.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

Security for spangloss 0.0.1

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.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.0.1 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page