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Vigil

Library and REST API that scans LLM prompts for prompt injection and jailbreaks using an ensemble of vector, transformer, YARA, and canary detectors.

@ai-supply
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Vigil — LLM prompt injection & jailbreak detection

Vigil is a Python library and REST API for scanning LLM prompts and responses for prompt injection, jailbreaks, and other risky inputs before they reach your model. It layers several independent detection scanners so no single technique becomes a blind spot.

Key features

  • Ensemble scanners: vector-database similarity to known attacks, a transformer classifier, YARA/heuristic rules, prompt-response relevance, and canary-token leak detection
  • Ships curated embeddings and signatures for documented prompt-injection and jailbreak techniques
  • Runs as an embeddable library or a standalone REST API service
  • Configurable per-scanner thresholds and pluggable custom detectors
  • Local-first: works with self-hosted embedding models, so prompt data never leaves your stack

Vigil sits in front of any LLM as an input/output firewall, giving agent builders an auditable guardrail layer that flags adversarial inputs instead of silently passing them through.

Curated mirror of the open-source Vigil (Apache-2.0). Get it from the source.

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