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Eval directory

Evals for OpenRouter

7 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for OpenRouter AI products.

AI Platform
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About OpenRouter

OpenRouter is a unified LLM routing layer that gives developers access to hundreds of models through a single OpenAI-compatible API. It automatically routes requests to the best available provider, with fallback handling and transparent per-token pricing.

Employees

~20

Industry

LLM Infrastructure

Headquarters

United States

Available eval packs for OpenRouter

7 packs ready to run.

Why eval OpenRouter AI

OpenRouter's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.

The Corsac eval library for OpenRouter measures four dimensions teams care about most when deploying ai platform agents:

  • Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
  • Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
  • Safety gates — does it escalate or refuse when it should, and only then?
  • Operator quality — does it preserve analyst trust by surfacing the right context at the right time?

Every eval pack above is hand-authored against OpenRouter's public product surface and runnable in Corsac with your own data.