I built TrustPlane on top of cognos-proof-engine, an epistemic scoring engine that scores every LLM request before it reaches users.

  Formula: C = p × (1 − Ue − Ua)

  Four outcomes per request: PASS, REFINE, ESCALATE (webhook), BLOCK.
  Every decision gets a trace ID and ends up in an audit log.

  Pluggable providers: Ollama, OpenAI, Anthropic, Groq, Cerebras.
  Multi-tenant PostgreSQL isolation. Redis rate limiting. MCP server for
  Claude Code integration.

  The honest limitation: p (prior confidence) is currently a configurable
  baseline, not dynamically calibrated per request. That's on the roadmap.

  Self-hosted via docker-compose or SaaS. Air-gap compatible for regulated
  deployments.

did you try it?