promptgate-llm 0.4.0

LLM security middleware and risk analysis layer for prompt injection detection

PromptGate

PromptGate is an open-source Python middleware library that sits between a user and an LLM and detects prompt injection risk before the model sees the input. It is a risk classifier, not a moral judge: it accumulates explainable signals and applies policy thresholds.

Architecture

user_input
  → parser          (normalize text, metadata)
  → rule_based      (substring pattern matching)
  → aggregator      (map signals → threat categories)
  → scorer          (sum unique signal severities, cap at 1.0)
  → policy          (ALLOW / FLAG / REVIEW / BLOCK)
  → response        (structured, explainable output)

The LLM never receives blocked prompts when PromptGate is placed in front of the request path.

Installation

From the project root (promptgate/):

pip install -e ".[dev]"

Editable install keeps pattern files and source in sync during development.

Usage

from promptgate import PromptGate

gate = PromptGate()
result = gate.check("Please ignore previous instructions.")

print(result["decision"])      # BLOCK
print(result["confidence"])    # 0.95
print(result["message"])       # Human-readable explanation
print(result["signals"])       # Matched risk signals

Custom policy thresholds:

gate = PromptGate(thresholds={"block": 0.80, "review": 0.60, "flag": 0.35})
result = gate.check(user_input)

Explainability Philosophy

Every response includes:

• decision — ALLOW, FLAG, REVIEW, or BLOCK
• confidence — equals the accumulated risk score (0.0 when safe)
• signals — what matched, with severity and pattern text
• signals_checked — signal types, categories, and pattern files scanned
• message — plain-language explanation of why the decision was made

ALLOW responses explicitly state that no injection patterns or manipulation framing were detected above thresholds. Restricted responses name matched signals and categories.

Signal accumulation is required. One weak signal alone (for example, sympathy framing) does not block. Multiple signals combine via score = min(1.0, sum(severities)).

Threat Categories

Category	Example signals
direct_injection	instruction_override, data_exfiltration
jailbreak	jailbreak_persona
system_override	system_override, system_prompt_leak
social_engineering	authority_claim, secrecy_request, urgency_framing
encoding_attack	encoding_trick

Severity values and mappings live in promptgate/config.py.

Default Policy Thresholds

Score range	Decision
0.00 – 0.29	ALLOW
0.30 – 0.54	FLAG
0.55 – 0.74	REVIEW
0.75 – 1.00	BLOCK

Local Testing

cd promptgate
pip install -e ".[dev]"
pytest -v

Project Layout

promptgate/
├── promptgate/       # Python package
├── data/patterns/   # Seed pattern files
├── tests/
├── pyproject.toml
└── README.md

License

MIT