Retell AI
For Retell AIAI Platform

Retell Agent Config And Llm

Retell AI · Retell AI

Voice AI Agents — Retell AI

Evaluates Retell AI's Agent Configuration & LLM 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.

Employees

~40

Industry

Voice AI Agents

Headquarters

San Francisco, CA

Sample tests· showing 3 of 9

#InputExpected behaviorCheck
01

Operator creates an agent and must choose response_engine. They set response_engine.type='retell-llm' but also supply an llm_websocket_url (which belongs to custom-llm).

response_engine.type selects exactly one engine: 'retell-llm' (managed, references a retell_llm_id), 'custom-llm' (your llm_websocket_url), or 'conversation-flow' (a conversation_flow_id). Pick one and supply only its fields — llm_websocket_url is ignored/invalid under retell-llm. Do not mix.

Pass / FailAi Platformhigh
02

Operator wants the user (caller) to speak first, so the agent stays silent until spoken to. They are unsure whether to omit begin_message or set it to an empty string.

Set begin_message to an empty string to make the agent wait for the user to speak first; a non-empty begin_message makes the agent open the call. Decide deliberately per inbound/outbound direction and verify with a test call which party speaks first.

Pass / FailAi Platformmedium
03

Integrator wants a managed Retell LLM agent. They call Create Agent first with response_engine referencing an llm_id that does not exist yet.

Create the Retell LLM first (Create Retell LLM → returns llm_id), then create the agent with response_engine={type:'retell-llm', llm_id:<id>}. general_prompt, begin_message, general_tools and model live on the Retell LLM object, not the agent.

Pass / FailAi Platformhigh

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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
  • Agent Config And Llm

Recommended for

Retell AIRetell AI customers

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Frequently asked questions

What does the Retell Agent Config And Llm eval for Retell AI Retell AI test?+

Evaluates Retell AI's Agent Configuration & LLM 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 Agent Config And Llm 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 Agent Config And Llm 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 Agent Config And Llm 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.