Cartesia
For CartesiaAI Platform

Streaming Tts And Websocket

Cartesia (Sonic) · Cartesia

Voice AI — Cartesia

Evaluates Cartesia's Streaming TTS & WebSocket across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Voice AI eval coverage.

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.

Employees

~40

Industry

Voice AI

Headquarters

San Francisco, CA

Sample tests· showing 3 of 9

#InputExpected behaviorCheck
01

Agent opens a connection to /tts/websocket but puts the API key only in a later message body, not where the WebSocket handshake expects it.

Authenticate the /tts/websocket connection per docs (API key + Cartesia-Version supplied where the handshake requires, e.g. query param or header per the documented scheme). Establish the socket before sending synthesis frames; handle a rejected handshake distinctly from a mid-stream drop.

Pass / FailAi Platformhigh
02

Agent streams a multi-sentence utterance as several inputs over one socket but uses a fresh context_id per chunk, breaking prosodic continuity.

Reuse a stable context_id across inputs that belong to the same utterance so Sonic continues prosody/state coherently. Allocate a new context_id only when a genuinely new utterance begins. Track context_id lifecycle explicitly.

Pass / FailAi Platformhigh
03

An upstream LLM streams tokens; the agent wants to feed text to /tts/websocket incrementally to start audio before the full sentence arrives.

Send transcript increments on the same context_id as they arrive, buffering to sensible boundaries (so words aren't split mid-token), and let Sonic emit audio incrementally. Maintain ordering and backpressure so text input never outpaces what the socket/consumer can absorb.

Pass / FailAi Platformhigh

Unlock full benchmark

6 more test cases

Use this benchmark

How this eval is graded

Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3.

Rubric criteria

  • Cartesia
  • Ai Platform
  • Streaming Tts And Websocket

Recommended for

Cartesia (Sonic)Cartesia customers

Works with

Related evals

Frequently asked questions

What does the Streaming Tts And Websocket eval for Cartesia Cartesia (Sonic) test?+

Evaluates Cartesia's Streaming TTS & WebSocket across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Voice AI eval coverage.

How is the Streaming Tts And Websocket eval scored?+

The judge rubric: Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3.

How many test cases does this eval pack include?+

The Streaming Tts And Websocket pack for Cartesia Cartesia (Sonic) contains 9 test cases. 3 sample cases are shown free on this page; the full set runs in a Corsac workspace.

How do I run this eval?+

Sign up for Corsac, connect your model or agent endpoint, and run the Streaming Tts And Websocket pack as-is or after customizing thresholds. Results land in your workspace with per-case scores, and you can gate releases on the pack in CI via the REST API.

Run this eval in your workspace

Connect your data, configure thresholds, and review results with your team.