Eval directory
Evals for Vapi
8 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Vapi AI products.
About Vapi
Vapi is a voice-AI orchestration platform that wires speech-to-text, an LLM, and text-to-speech into low-latency phone and web voice agents, with interruption handling, mid-call function calling, transfers, recordings, and telephony routing.
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 Vapi
8 packs ready to run.
Assistant Config And Model Wiring
Evaluates Vapi's Assistant Config & LLM/Voice/Model Wiring across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Voice AI Orchestration eval coverage.
Batch Calls And Concurrency
Evaluates Vapi'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 Orchestration eval coverage.
Compliance Consent And Governance
Evaluates Vapi's Compliance, Consent & Governance across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Voice AI Orchestration eval coverage.
Realtime Voice And Turn Taking
Evaluates Vapi's Real-time Voice & Turn-taking across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Voice AI Orchestration eval coverage.
Squad And Workflow Routing
Evaluates Vapi's Squad & Workflow Routing across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Voice AI Orchestration eval coverage.
Telephony And Phone Number Import
Evaluates Vapi's Telephony & Phone-Number Import across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Voice AI Orchestration eval coverage.
Tools And Mid Call Function Calling
Evaluates Vapi's Tools / Function Calling Mid-call across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Voice AI Orchestration eval coverage.
Webhooks And Events
Evaluates Vapi's Webhooks & Events across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Voice AI Orchestration eval coverage.
Why eval Vapi AI
Vapi'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 Vapi 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 Vapi's public product surface and runnable in Corsac with your own data.