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OpenAI

Eval directory

Evals for OpenAI

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

AI Platform
Use evals for OpenAI

About OpenAI

OpenAI builds the GPT model family and the OpenAI API — Responses and Chat Completions, function calling, Structured Outputs, embeddings, fine-tuning, the Batch API, moderation, the Realtime API, and the Agents SDK — used by developers to build AI products at scale.

Employees

~3,000

Industry

Foundation Model

Headquarters

San Francisco, CA

Website

openai.com

Available eval packs for OpenAI

8 packs ready to run.

Why eval OpenAI AI

OpenAI'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 OpenAI 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 OpenAI's public product surface and runnable in Corsac with your own data.