llm-trust-guard 0.3.0

Security guards for LLM-powered and agentic AI applications. Zero dependencies. Covers OWASP Top 10 for LLMs 2025.

llm-trust-guard

Security guards for LLM-powered applications. Zero dependencies. Python port of the npm package.

Installation

pip install llm-trust-guard

Quick Start

from llm_trust_guard import InputSanitizer, EncodingDetector, CompressionDetector

# Check for prompt injection
sanitizer = InputSanitizer(threshold=0.3)
result = sanitizer.sanitize(user_input)
if not result.allowed:
    print(f"Blocked: {result.matches}")

# Check for encoding bypass attacks
encoder = EncodingDetector()
result = encoder.detect(user_input)
if not result.allowed:
    print(f"Encoded threat: {result.violations}")

# Check structural similarity to known attacks (NCD)
detector = CompressionDetector()
result = detector.detect(user_input)
if not result.allowed:
    print(f"Similar to: {result.ncd_analysis.closest_category}")

Guards (Phase 1)

Guard	Purpose	Method
InputSanitizer	Prompt injection detection (170+ patterns, 11 languages)	Regex + PAP
EncodingDetector	Encoding bypass (9 formats: Base64, URL, Unicode, Hex, HTML, ROT13, Octal, Base32)	Decode + scan
CompressionDetector	Structural similarity to known attacks	gzip NCD (135 templates)
HeuristicAnalyzer	Synonym expansion + structural + statistical analysis	8 attack categories
OutputFilter	PII/secret detection and masking in LLM output	Regex + redaction

Key Features

• Zero dependencies — only Python stdlib (re, zlib, base64, html)
• Same patterns as the npm package — feature parity with llm-trust-guard v4.13.1
• Fast — all checks complete in <5ms
• Python 3.9+ compatible

More Guards Coming

The npm package has 31 guards total. Python Phase 2 will add:

• ExternalDataGuard, AgentSkillGuard, SessionIntegrityGuard
• SchemaValidator, ToolResultGuard, TokenCostGuard

Links

• npm package (TypeScript — 31 guards)
• OWASP Top 10 for LLMs 2025

License

MIT