LLM Governance Engine

Open-source policy enforcement layer that blocks LLM risks before they happen

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Added Jul 2026

github.com

Open Source AiFreeopen-source-ai

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What is Llm Governance Engine?

LLM Governance Engine is an open-source policy enforcement layer for enterprise LLM deployments that blocks PII leaks, controls cloud spend, and maintains compliance audit trails before requests reach models. It uses YAML-based policy-as-code to enforce rules in under 5ms, offering three enforcement actions: block, warn, and alert. Designed for enterprises deploying LLMs at scale who need proactive governance rather than post-facto monitoring.

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Key Features of Llm Governance Engine

Policy-as-Code using YAML rules
Pre-inference enforcement evaluated in under 5ms
Three enforcement actions: block, warn, alert
Hot-reload policies without server restart
CloudEvents 1.0 webhooks for violations
Persistent audit log with PDF export
PII detection and blocking
Cloud spend circuit breakers
Automatic compliance audit trail
Integrations with Slack, Teams, PagerDuty

Who Should Use Llm Governance Engine?

Prevent PII leaks to cloud-hosted LLMs before inference

Implement budget circuit breakers for cloud LLM costs

Maintain automatic audit trails for compliance requirements

Block unsafe prompts before model inference

Monitor and enforce safety scores across LLM deployments

Control which models can be used in specific contexts

Llm Governance Engine: Pros & Cons

✓Pros

Blocks threats before they happen rather than detecting after the fact
Enforces rules in under 5ms for minimal latency impact
Open-source with full transparency and community contribution
Flexible policy-as-code approach using familiar YAML syntax
Automatic audit logging for compliance documentation
Hot-reload capability for policy updates without downtime
Multiple webhook destinations for alert routing

Frequently Asked Questions about Llm Governance Engine

What is the main difference between LLM Governance Engine and monitoring tools like LangSmith?

LangSmith observes your LLMs after the fact. The Governance Engine enforces policy before any token leaves your network, preventing issues rather than detecting them.

How fast are policy rules evaluated?

Policy rules are evaluated in under 5ms before the prompt reaches any LLM, ensuring minimal latency impact on inference.

What actions can policies take when violations are detected?

Policies can take three actions: block the request with HTTP 403, warn by logging and continuing, or alert via webhooks to Slack, Teams, PagerDuty, or custom HTTP endpoints.

Can policies be updated without restarting the server?

Yes, the hot-reload feature allows you to POST new policies to /api/v1/policies/reload and apply them without server restart.

What compliance features does it provide?

It automatically maintains a signed audit log with PDF export capabilities for compliance documentation and audit trails.