
Retell Conversation Flow And Response Engine
Retell AI · Retell AI
Voice AI Agents — Retell AI
Evaluates Retell AI's Conversation Flow & Response Engine across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Voice AI Agents eval coverage.
About Retell AI
Retell AI is a platform for building production phone-call voice agents — pairing a conversation engine with telephony, low-latency turn-taking, interruption handling, mid-call functions, post-call analysis, and batch outbound dialing.
Sample tests· showing 3 of 9
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | Operator deploys a custom-llm. Their server URL is https://host/llm-websocket and they set llm_websocket_url to that http(s) URL on the agent. | llm_websocket_url must be a WebSocket URL: prepend wss:// (not https://) and append the /llm-websocket path Retell expects, e.g. wss://host/llm-websocket/{call_id}. Retell opens the socket per call; reject a plain https URL at config time. | Pass / FailAi Platformcritical |
| 02 | The caller has gone silent. Retell sends a reminder_required event (not response_required) to the custom-LLM server. | Treat reminder_required as a nudge after user silence: emit a brief check-in ('Are you still there?') tied to the event's response_id, distinct from a full response_required turn. Do not regenerate the entire prior answer. | Pass / FailAi Platformhigh |
| 03 | Custom-LLM server receives a response_required event carrying the transcript and a response_id. The server begins generating and streaming content. | On response_required, stream RetellResponse frames with the SAME response_id as the inbound event, emitting content incrementally and a final frame with content_complete=true. The response_id ties your output to the turn Retell asked about. | Pass / FailAi Platformcritical |
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
- Retell
- Ai Platform
- Conversation Flow And Response Engine
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ViewFrequently asked questions
What does the Retell Conversation Flow And Response Engine eval for Retell AI Retell AI test?+
Evaluates Retell AI's Conversation Flow & Response Engine across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Voice AI Agents eval coverage.
How is the Retell Conversation Flow And Response Engine 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 Retell Conversation Flow And Response Engine pack for Retell AI Retell AI 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 Retell Conversation Flow And Response Engine 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.