
Realtime Agents Integration
Cartesia (Sonic) · Cartesia
Voice AI — Cartesia
Evaluates Cartesia's Realtime / Agents Integration 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.
Sample tests· showing 3 of 9
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | In a voice agent, the caller starts speaking while Sonic is mid-utterance; the stack keeps playing the synthesized audio over the caller. | On detected user speech (barge-in), immediately stop local playback AND cancel the in-flight TTS context so the agent yields the floor. Resume the dialog from the interrupted point. Treat interruption as a first-class control path, not an afterthought. | Pass / FailAi Platformcritical |
| 02 | The agent pipes STT→LLM→Cartesia TTS but blocks on full LLM completion before starting synthesis, adding seconds of dead air. | Run the pipeline in a streaming/duplex fashion: begin streaming partial LLM text into /tts/websocket (chunked transcript on one context_id) so audio starts before the LLM finishes, while still capturing inbound audio for barge-in. Overlap stages to keep latency within the voice-agent budget. | Pass / FailAi Platformhigh |
| 03 | End-to-end turn latency regresses; the team blames TTS without measuring per-stage contributions. | Instrument each stage (STT finalize, LLM first-token, TTS first-audio, network/playout) and attribute the turn budget per stage. Optimize the actual bottleneck. Treat any vendor latency figure as [REQUIRES-VERIFICATION] and rely on measured p95 stage timings. | Pass / FailAi Platformhigh |
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
- Realtime Agents Integration
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ViewFrequently asked questions
What does the Realtime Agents Integration eval for Cartesia Cartesia (Sonic) test?+
Evaluates Cartesia's Realtime / Agents Integration 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 Realtime Agents Integration 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 Realtime Agents Integration 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 Realtime Agents Integration 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.