Ombre
Ombre adds security, caching, memory, and audit functions in an infrastructure layer for AI requests.
About Ombre
Ombre is an open source infrastructure layer that sits between a Python application and external AI models from OpenAI, Anthropic, Groq or Mistral. It runs security, caching, memory, hallucination detection and audit agents on each request. Installation is with pip and a model API key, and each run returns text with confidence, cost saved, audit ID and threats blocked values.
Key features
- Works in front of OpenAI, Anthropic, Groq and Mistral models
- PII tokenization before inference with restoration afterward
- Repository scanning with risk score and OWASP coverage
- Behavior contracts with forbidden topics, outputs and confidence thresholds
- Role-based access with per-role rate limits and user blocking
- SHA-256 audit chain with per-request audit IDs
Best for: Developers building AI applications that call external models
Ombre at a glance
- Website
- github.com/pypl0/Ombre
- Category
- Privacy & Security › Security Tools
- Type
- Open-source project
- Pricing
- Freemium
- Details verified
- Oct 22, 2026 · Official source
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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