Hi all, I am Eric, COO at Cloudonix a Multi-Award Winning AI Voice Agent Orchestration Platform - Humans and AI Speak as One. Cloudonix is redefining how agentic AI voice agents connect to the real world. Our API-first, telecom-grade platform makes it faster and easier to deploy, scale, and operate voice agents—without complex infrastructure or specialized telecom engineering.

We have been working very hard to improve the open-weights End of Turn detection model. Our ML team has made substantial improvements. One big problem we have seen is when agents need to collect specific data like phone numbers, email addresses, etc, they often stumble and add a lot of friction to the human-to-machine interaction experience. Also, you no longer need to pick an English or a multilingual model. You should use multilingual from now on. Check out our visualization tool that will let you compare the open weights models side by side: https://huggingface.co/spaces/livekit/eot-visualization?ref=blog.livekit.io I can hardly keep from spilling the beans on some other huge improvements we have in the lab right now but realtime AI is getting much better. Updated Model Blog Post with demo: https://blog.livekit.io/improved-end-of-turn-model-cuts-voice-ai-interruptions-39/ Plugin Code: https://github.com/livekit/agents/tree/main/livekit-plugins/livekit-plugins-turn-detector?ref=blog.livekit.io

Hey everyone! How are you currently testing your voice agents?

Hey everyone! I’m exploring the challenges teams face in testing and validating conversational/voice AI agents (think telephony bots, inbound/outbound AI calling, virtual assistants). If you have built, operated, or evaluated voice AI/telephony agents: - What tools or platforms do you currently use for automated or manual testing? (e.g., Cekura, in-house scripts, Vapi, something else?) - What has worked well for you? What’s been painful or missing? - Do you care about self-hosting(testing infra) and data sovereignty, or is managed SaaS fine? - Any blockers around compliance, auditability, or integration with CI/CD? - How do you build test scenarios and keep them up to date as your agents evolve? Thanks in advance for your insights!

I’m planning a few LiveKit and Pipecat live sessions over the next weeks, and I’d love to open them up for community contributions. If you’re interested in hosting a session or sharing your expertise, feel free to DM me. Here are some topic ideas to spark inspiration: - Latency optimization: Strategies to achieve sub-600 ms latency - Interruption handling - Industry-specific use cases: Real estate, dental, medical, HVAC, restaurants, hotels, etc. - Integrations with niche software that rarely gets covered: ServiceTitan, FieldEdge, and Housecall Pro for HVAC and home services; Dentrix, Open Dental, and Eaglesoft for dental practices ; Epic, Athenahealth, and Oracle Health for medical practices; Toast, Aloha, and Square for restaurants; Opera PMS, Cloudbeds, and Mews for hotels; Buildium, Propertyware, and Follow Up Boss for real estate and property management. - Telephony provider integrations beyond Twilio: Telnyx, Zadarma, RingCentral, Ringba - Custom PBX integrations - Multilingual implementations: Best voices for specific languages, best transcription models for specific languages and best prompting strategies, deep dives into a single language - Non-technical Voice AI topics: Project management, hiring and evaluating developers, marketing Voice AI products and services, finding clients, content creation, proposal & contract creation, compliance You’re also welcome to use your session to showcase your own product or service, as long as it aligns with the theme of open-source Voice AI.