Eval directory
Evals for Retell AI
8 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Retell AI AI products.
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.
How complete this published benchmark library is across datasets, metrics, rubrics, use-case maps, and pack context. This is library coverage, not an agent performance score.
Test datasets
8/8 packs
Scoring metrics
0/8 packs
Judge rubrics
8/8 packs
Use-case maps
0/8 packs
Pack context
8/8 packs
Available eval packs for Retell AI
8 packs ready to run.
Retell Agent Config And Llm
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.
Retell Batch Calls And Concurrency
Evaluates Retell AI's Batch Calls & Concurrency 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.
Retell Compliance Consent Governance
Evaluates Retell AI's Compliance, Consent & Governance across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Voice AI Agents eval coverage.
Retell Conversation Flow And Response Engine
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.
Retell Function Calling Custom Tools
Evaluates Retell AI's Function Calling / Custom Tools 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.
Retell Realtime Voice And Interruption
User InterruptsEvaluates Retell AI's Real-time Voice & Interruption 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.
Retell Telephony And Call Lifecycle
Evaluates Retell AI's Telephony & Call Lifecycle 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.
Retell Webhooks And Post Call
Evaluates Retell AI's Webhooks & Post-call 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.
Why eval Retell AI AI
Retell AI'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 Retell AI 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 Retell AI's public product surface and runnable in Corsac with your own data.