Voice Agent Load Testing: How to Test Your Own Voice Agents at Scale with Retell
Blog post from Retell AI
Voice agent load testing evaluates how AI voice agents perform when faced with high volumes of concurrent calls, uncovering issues like latency spikes, rate limits, and degraded context that single-call tests often miss. Utilizing Retell, a platform designed for building and shipping AI voice agents, engineers can conduct large-scale tests using batch calling to simulate multiple calls simultaneously, ensuring agents maintain performance under pressure. The testing process involves measuring key metrics such as latency percentiles, word error rates, and task completion rates, and integrating these tests into CI pipelines to automate and continuously assess performance. Retell offers a comprehensive solution by connecting to existing telephony systems, providing built-in quality assurance, and enabling cost forecasting with its published per-minute pricing, thus allowing teams to anticipate and mitigate potential system failures before they impact users.
No tracked trend matches for this post yet.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.