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mech-gov-framework

SantanderAI/mech-gov-framework

Mechanical Governance for LLM Decisions

GraphCanon updated Sep 9, 2026 · GitHub synced Sep 9, 2026

30views this month

77 stars34 forksLast push Sep 1, 2026 Python Apache-2.0

Decision brief

Mechanical Governance for LLM Decisions: Provides model-agnostic governance regimes and metrics for high-stakes decision systems involving large language models

Good fit when

When your application requires model-agnostic governance that supports multiple types of large language models, ensuring consistent compliance with regulatory and ethical standards.
If you need to implement hard gates, entropy commit-reveal functionalities, allowing for greater control over the decision-making process in high-stakes scenarios

Avoid when

If you have a preference for proprietary or closed-source frameworks that provide more tailored but less flexible control over model governance.
When your project does not require extensive transparency or detailed monitoring capabilities, as this tool adds complexity and a learning curve specific to its unique features.

Requirements:: Requires Python version 3.10 or higher.; Optional installation of visualization and AWS Bedrock/SageMaker backend support for extended functionality.

Observed Jul 16, 2026 · Source: enrich:decision_facts

mech-gov-framework alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Active (8d since push); As of Sep 9, 2026
Provenance: Not a fork · Organization account; As of Sep 9, 2026
Security (OSV): No lockfile; As of Jul 15, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install mech-gov-framework

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Set of tools to assess and improve LLM security

council-of-high-intelligence

AI personas deliberate decisions across LLM providers

The Enterprise Architecture Governance Harness

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Provides model-agnostic governance regimes and metrics for high-stakes decisions systems involving large language models.

Capability facts

Languages: python
Source: github.language+pyproject.toml · Sep 9, 2026

Categories

Evaluation & Observability

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 9, 2026)

python -m venv .venv

Tags

ai-governance ai-safety decision-systems learning-to-defer llm-evaluation machine-learning responsible-ai

README

Installation Requires Python 3.10+. License Apache License 2.0 — see and . Open source by Santander AI Lab.

For agents

This page has a .md twin and JSON over the API.

/tools/santanderai-mech-gov-framework.md GET /api/graphcanon/tools/santanderai-mech-gov-framework GET /api/graphcanon/graph?tool=santanderai-mech-gov-framework

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