Sharing a small but exciting milestone from my learning journey 🚀 Over the last few weeks, I’ve been deep into voice infrastructure and SIP, and I finally have a full working setup: 📞 Local Phone → SIP (from Signalwire) → FreeSWITCH → Voice Agent → Response back to the caller The FreeSWITCH server is running on a Debian server on DigitalOcean, and everything is now talking to each other smoothly — SIP, RTP, real-time audio, and AI responses. I’m currently working with a client, and initially we’re aiming to scale this setup to handle ~100 concurrent calls, which is pushing me to really understand: - SIP call flows - Audio streaming - Server performance & scaling - Latency trade-offs vs managed platforms Honestly, this stuff is challenging but insanely exciting. Every time a real phone call hits the server and the agent responds correctly, it feels like magic — but the earned kind 😄 Just wanted to share this win and keep building. If anyone here is working on voice agents, SIP, or FreeSWITCH — would love to connect and exchange notes 🤝

Hello devs, Is there any pay as you go plan in livekit for agent deployment in there cloud.

Hey everyone — been building local-first AI infrastructure and this community is exactly my vibe. I run a full AI pipeline from a single laptop (RTX 5080 16GB, 32GB DDR5) — Ollama in Docker with GPU passthrough, PostgreSQL, Redis. The philosophy: 80% of AI workload runs on free local models, only the 20% that needs frontier reasoning hits a cloud API. Cost per pipeline run dropped from $8-15 to $0.15-0.40. I've shipped a few tools with this setup — market scanners, a knowledge retention engine with RAG, and a live SaaS API product. All from the same machine. What brought me here: I want to add a voice layer. Seeing folks run Pipecat with local STT/TTS on consumer GPUs is exactly the direction I'm heading. My Ollama stack already handles LLM inference — pairing that with local Whisper or the new NVIDIA Nemotron STT model on the same GPU seems like the natural next step. A few things from the recent threads caught my eye: - @Kwindla's sub-500ms voice-to-voice on an RTX 5090 with Nemotron — curious how that scales down to a 5080 with 16GB VRAM when the LLM is also loaded - @Jin Park's custom orchestration engine replacing Vapi/Retell — that modular approach maps directly to how I route pipeline stages between local and cloud models - The latency discussion around local vs cloud STT — has anyone benchmarked Whisper locally against Deepgram for voice agent round-trip times? Looking forward to learning from this group and sharing what I build.

You’re probably still building AI voice agents manually for clients. That’s not a scalable business. It’s time to take your AI agency to the next level by launching your own full-stack SaaS platform — just like I did. The good news: I’ve already built the entire AI voice agent SaaS platform, so you don’t have to. Here’s what’s inside the codebase: 🗣 AI Voice Agent — powered by Vapi & LiveKit⚙ Configurations — prompts, models, knowledge base, and more 📝 Call Logs 📈 Analytics Dashboard 🔐 Sign in / Sign up — Google Authentication ready 💳 Payment Collection — via Stripe 🏢 Multi-Tenant Architecture — one user can be linked to multiple organizations 📞 SIP Connection — integrated with Telnyx ⛔ Rate Limiter — manage usage efficiently And everything else you need to launch a production-ready SaaS platform. 💬 Comment below or DM me if you’re interested in using or acquiring the full codebase for your own AI voice agent business.

Hi All, So, as I've told you all a few weeks ago, I've published an open source tool called OPBX - which is a business PBX system, that works on top of Cloudonix and provides some interesting capabilities when working with voice agents. I've added multi-tenant capabilities to it - so if you install it, you can use it to service all your customers. At the same time, I'll be launching a SaaS version of OPBX, completely FREE of charge, so that you can use it and build with it. Next week, I'll be holding a special OPBX training session, showing how to integrate OPBX with VAPI, Retell, etc. In addition, I'll show how to build multi-agent IVR trees, warm transfers that work as they should and more. Cloudonix Velocity Training Registration - https://us02web.zoom.us/meeting/register/6D63tRaYSDihkJtUlpNp-A#/registration OPBX Github Repository - https://github.com/greenfieldtech-nirs/opbx Looking forward to seeing you all. Nir S