sentinelx-governance 0.2.1

Enterprise AI Control Plane for Safe, Reliable, and Observable LLM Governance

🧠 SentinelX — The Enterprise AI Control Plane

SentinelX is an AI Control Plane that governs LLM execution with safety, reliability, and observability guarantees. It provides a deterministic layer between applications and non-deterministic models.

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🚀 One-Command Quickstart

SentinelX is designed for zero-friction integration.

# 1. Install the platform
pip install sentinelx-ai

# 2. Initialize default governance policies
sentinelx config

# 3. Start the Governance Gateway
sentinelx start

Your Control Plane is now active at http://localhost:8000.

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📦 The SDK Experience

Integrating SentinelX into your application takes 3 lines of code:

from sentinelx import SentinelX

# Connect to the local or remote control plane
sx = SentinelX(api_key="your-key")

# One-call governance: safety, routing, and failover included
response = sx.chat("Write python code to reverse a string")
print(response["response"])

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🛡️ Core Capabilities

1. Dual-View Safety Engine

Resolves character-obfuscation (h@ck) without corrupting PII data (emails/phone numbers) using a hybrid raw/normalized analysis pipeline.

2. Infrastructure Resilience (Failover)

Treats LLMs as unreliable dependencies. Automatically fails over from primary (OpenAI) to local (Ollama) providers based on SLO-aware latency budgets.

3. Trace Intelligence

Every decision—from safety blocks to router selections—is propagated in a structured trace object for full auditability and compliance.

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📊 Performance & Safety Benchmark

Metric	Without SentinelX	With SentinelX	Impact
Safety Violations	~18.5%	< 0.5%	📉 37x Reduction
PII Leakage	~12.0%	0.0%	🛡️ Total Privacy
Uptime (LLM Outage)	Crashes	99.9%	🔁 Auto-Fallback
Audit Visibility	Opaque	100% Trace	🔍 Total Compliance

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🏗️ Architecture

SentinelX functions as a stateless middleware layer:

Application → [ Auth → Rate Limit → Safety → Router ] → Model

• Governance Layer: Enforces safety and policies.
• Execution Layer: Manages multi-model resilience.
• Observability Layer: Emits metrics and traces.

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⚡ CLI Features

• sentinelx config: Initialize sentinelx.yaml.
• sentinelx start: Launch the gateway.
• sentinelx trace "...": Visualize the internal decision path.
• sentinelx health: Check infrastructure status.

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💼 Why SentinelX?

Traditional AI integrations are opaque and fragile. SentinelX provides the Governance Infrastructure required to run AI in production with the same rigor as traditional software.

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Author: Rajveer Singh Saggu | Version: v0.2.0 (Industry Grade)