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AI Stats is built around a few simple principles that keep the platform reliable, open, and easy to use.

Openness and transparency

  • Keep the Gateway and data model auditable and easy to understand.
  • Make pricing, routing, and performance visible wherever possible.

One API for every model

  • Provide a consistent surface that works across providers and modalities.
  • Minimize provider-specific rewrites when models change.

Portability and resilience

  • Route requests to healthy providers and recover from upstream issues.
  • Avoid lock-in by keeping the API compatible with major model ecosystems.

Observability by default

  • Capture usage, latency, and error signals so teams can operate safely.
  • Expose diagnostics via the API and dashboard for production visibility.

Respectful community

  • Encourage constructive feedback and contributions from all users.
  • Maintain clear contributor expectations and a shared code of conduct.

Next steps

Last modified on February 11, 2026