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Evals for Portkey

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

AI Platform
Use evals for Portkey

About Portkey

Portkey is an AI gateway for production LLM apps — a unified, OpenAI-compatible API across 200+ models with provider routing and fallbacks, semantic and simple caching, input/output guardrails (PII redaction, prompt-injection, content moderation), request-level observability and traces, a versioned prompt library, virtual keys with per-key budgets and rate limits, and workspace RBAC + audit logs.

Employees

~40

Industry

AI Gateway

Headquarters

San Francisco, CA

Website

portkey.ai

Available eval packs for Portkey

8 packs ready to run.

Why eval Portkey AI

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