Voice agents built on ElevenLabs need more than a basic prompt check. You need to test whether the voice stays clear, whether interruptions break the workflow, whether latency remains usable, whether tool calls succeed, and whether the same agent holds up under real traffic. Cekura is built for testing ElevenLabs voice agents end-to-end. It connects natively with ElevenLabs, supports direct WebSocket simulations for ElevenLabs voice conversations, can auto-trigger outbound tests for ElevenLabs users, and links ElevenLabs accounts to expose conversation IDs and tool-call timestamps for evaluator test calls.
Cekura is designed for teams looking to test ElevenLabs voice agents, run ElevenLabs voice agent QA, and evaluate ElevenLabs-powered voice AI systems across real conversational conditions. Unlike generic voice testing setups or text-based evaluators, Cekura is built specifically for testing real-time ElevenLabs voice agents under live conversational conditions.
Evaluate ElevenLabs voice output, not just transcripts
When testing ElevenLabs voice agents, the first question is whether the spoken output actually works in real conversations, not just whether the transcript looks correct. Cekura evaluates ElevenLabs voice output using built-in speech metrics such as:
- Voice Quality
- Voice Tone + Clarity
- Words Per Minute
- Average Pitch
- Pronunciation Check
- Letterwise Pronunciation Detection
Cekura's Voice Quality Index (scored 0–5) measures clarity, tone, and appropriateness, making it useful for testing pacing, pronunciation stability, and whether ElevenLabs voices remain usable across longer calls. This is especially important for ElevenLabs deployments using custom or cloned voices. In Cekura, teams can configure Voice ID and Voice Provider, allowing them to test how a specific ElevenLabs voice behaves across different scenarios while keeping generation inside ElevenLabs.
Catch failures in ElevenLabs voice agents that only appear in live conversations
Testing ElevenLabs voice agents requires catching issues that only show up in real-time conversations, not in text-only simulations. Cekura focuses on failure modes specific to voice AI powered by ElevenLabs:
- Turn-taking breakdowns
- Interruption handling failures
- Silence handling issues
- Latency spikes
- Workflow drift
- Tool execution failures
Built-in metrics include:
- AI interrupting user
- User interrupting AI
- Interruption Overrun
- Talk ratio
- Silence failures
- Infrastructure issue detection
- Average latency (ms)
- Appropriate call termination
Cekura includes 25+ predefined metrics such as Tool Call Success, Voice Quality, Pronunciation Check, and Unnecessary Repetition - enabling comprehensive voice agent QA for ElevenLabs deployments.
Cekura's personality system (50+ predefined personalities) enables testing edge cases like:
- Pause-heavy conversations (Pauser)
- Overlapping speech (Interrupter)
- Accent variation
- Background noise
- Emotional or suspicious users
This ensures ElevenLabs voice agents remain reliable under unpredictable real-world conditions.
Test ElevenLabs voice agents over WebSocket and outbound call flows
For ElevenLabs-powered systems, testing must reflect real communication paths, not simplified environments.
Cekura supports end-to-end testing through:
- Native ElevenLabs integration
- Direct ElevenLabs WebSocket support for real-time voice conversations
- Automated outbound testing for ElevenLabs users
This allows teams to:
- Run real-time voice agent testing without telephony constraints
- Evaluate streaming performance across full conversations
- Measure latency using mean, P50, and P90
- Analyze transcript timing to derive TTFA
Benchmark transcription, accents, and multilingual behavior around ElevenLabs
When evaluating ElevenLabs voice agents, performance depends not just on TTS, but on transcription, language understanding, and robustness to real-world audio.
Cekura enables voice AI evaluation across:
- Transcription accuracy (dedicated STT metrics)
- Accent robustness
- Multi-speaker conversations
- Noisy audio environments
- Code-switching scenarios (e.g., English–Arabic, Spanglish)
Through integrations such as Speechmatics, Azure, Gemini, and Deepgram, teams can A/B test STT providers within the same evaluation layer. This ensures ElevenLabs-powered systems behave reliably across global, real-world voice conditions, not just clean English inputs.
Verify tool calls and workflows in ElevenLabs voice agents
A production-ready ElevenLabs voice agent must do more than sound natural: it must complete tasks correctly.
Cekura validates workflow execution through:
- Expected outcome checks
- Instruction-following evaluation
- Boolean success/failure metrics
- Transcript support for function_call and function_call_result
- Custom Python-based evaluation logic
Capabilities include:
- Tool Call Success metrics
- Mock Tools and Auto-Sync Mock Tools for ElevenLabs, Vapi, and Retell
This allows teams to test ElevenLabs voice agents that schedule appointments, retrieve data, and trigger downstream actions all without depending on live production systems.
Run regression testing for ElevenLabs voice agent changes
When testing ElevenLabs voice agents over time, changes in prompts, models, or infrastructure can introduce hidden regressions.
Cekura enables repeatable regression testing through:
- A/B testing across agent versions
- Side-by-side comparison views
- Baseline-based alerting
- Trend monitoring
- Cron-based replay
- CI/CD integration via API and GitHub Actions
Teams can:
- Re-run identical scenarios
- Compare versions under the same conditions
- Detect drift in latency, interruption handling, or tool success
Monitor ElevenLabs voice agents in production
Testing does not stop at deployment. Cekura extends testing into production monitoring for ElevenLabs voice agents.
Cekura provides:
- Production call analysis
- Issue prioritization
- Alerts and custom dashboards
- Re-evaluation of historical calls
- Simulation from real conversations
Monitoring spans 30+ metrics across:
- Speech quality
- Conversational flow
- Logic accuracy
- Customer experience
This allows teams to detect issues in live ElevenLabs systems, replay failures, and validate fixes under real conditions. Cekura also supports transcript and audio redaction, making it suitable for sensitive production environments.
Load test and red team ElevenLabs voice agents at scale
To validate production readiness, ElevenLabs voice agents must be tested under load and adversarial scenarios.
Cekura supports:
- Parallel simulations
- Gradual concurrency ramp-up
- Infrastructure issue detection
- 2000+ concurrent call testing
For adversarial testing, Cekura includes:
- Automated red teaming
- 10,000+ multi-turn attack scenarios
- Testing for jailbreaks, bias, toxicity, and PII leakage
When to use Cekura for testing ElevenLabs voice agents
Cekura is designed for teams that need to test and validate ElevenLabs voice agents across real-world conditions:
- Before launching ElevenLabs voice agents into production
- When debugging latency, interruptions, or voice quality issues
- When validating tool calls and workflow completion
- When comparing multiple ElevenLabs agent versions or prompts
- When monitoring production performance and detecting regressions
- When load testing or red teaming ElevenLabs-powered systems
Enterprise testing infrastructure for ElevenLabs voice teams
Cekura provides enterprise-grade infrastructure for teams building on ElevenLabs.
Capabilities include:
- API access and CI/CD integration
- Multi-project environments with access control
- Self-hosting and VPC deployment
- WebRTC and tool-call integrations
- White-label reporting
- Compliance: SOC 2 Type II, HIPAA, GDPR
- Automated PII redaction
Ecosystem integrations include ElevenLabs, Retell AI, Vapi, Bland, LiveKit, Pipecat, Cartesia, Cisco, and Speechmatics.
These capabilities ensure large-scale ElevenLabs voice deployments remain testable, observable, and reliable.
What Cekura enables for testing ElevenLabs voice agents
For teams building on ElevenLabs, Cekura provides a complete testing layer for:
- Real-time voice agent testing
- Voice quality and pronunciation evaluation
- Latency, interruption, and flow testing
- Workflow and tool-call verification
- Multilingual and transcription benchmarking
- Regression testing across changes
- Production monitoring and replay
- Load testing and red teaming
Cekura does not replace ElevenLabs’ voice generation. It enables teams to test whether ElevenLabs voice agents actually work in real-world conditions and continue working as systems evolve.
