Eval directory
Evals for Cartesia
8 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Cartesia AI products.
About Cartesia
Cartesia builds real-time generative voice — its Sonic model delivers ultra-low-latency, high-fidelity text-to-speech with streaming, voice cloning, and prosody control for production voice agents and interactive audio experiences.
Available eval packs for Cartesia
8 packs ready to run.
Audio Formats And Encoding
Cartesia evals — Audio Formats & Encoding (relift v3 InfraRed)
Auth Keys Rate Limits Concurrency
Cartesia evals — Auth, Keys, Rate Limits & Concurrency (relift v3 InfraRed)
Realtime Agents Integration
Cartesia evals — Realtime / Agents Integration (relift v3 InfraRed)
Safety Consent And Governance
Cartesia evals — Safety, Consent & Governance (relift v3 InfraRed)
Sonic Tts Synthesis
Cartesia evals — Sonic TTS Synthesis (relift v3 InfraRed)
Streaming Tts And Websocket
Cartesia evals — Streaming TTS & WebSocket (relift v3 InfraRed)
Voice Cloning And Voice Library
Cartesia evals — Voice Cloning & Voice Library (relift v3 InfraRed)
Voice Control And Prosody
Vocal AffectCartesia evals — Voice Control & Prosody (relift v3 InfraRed)
Why eval Cartesia AI
Cartesia'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 Cartesia 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 Cartesia's public product surface and runnable in Corsac with your own data.