I will build real time api webrtc ai voice system websockets stream apps python nodejs

I implement strict runtime interruption code blocks that immediately wipe the outgoing playback audio buffer, kill the active LLM stream generation loop, and abort any pending tool executions the millisecond a user breaks in to say something new.

by slow HTTP REST API polling layers by constructing peer-to-peer WebRTC streaming pipelines combined with bidirectional WebSockets. Audio packets are captured, transcribed, processed by the LLM, and synthesized concurrently in raw memory buffers, establishing a natural conversational flow.

VAD determines when a human starts and stops speaking. I fine-tune silence timeout thresholds and energy matrices to ensure the bot waits precisely for natural speech transitions.

Yes. I wire advanced function-calling bridges. If a caller asks to schedule an appointment, the agent triggers a live background webhook via n8n or Zapier, scans your database or calendar (GoHighLevel, Calendly, Google Calendar) in real time, and locks it in mid-call.

Yes. You will need to provide your own API credentials for your chosen services, such as ElevenLabs, Twilio, or specialized real-time middleware frameworks like Vapi or Retell AI. I handle the entire API architecture and handshake plumbing.

I build the core low-latency routing layers using highly efficient asynchronous libraries in Python (FastAPI, WebSockets) or Node.js, seamlessly syncing them with lightweight React/Next.js frontends or automated PHP data webhooks.

Absolutely. At the end of every call, a automated post-call cleanup script runs. It extracts a structured JSON summary, checks the user sentiment, pushes logs directly to GoHighLevel (GHL) or HubSpot, and can even trigger automated SMS confirmations.

I build a dedicated text-preprocessing script layer on top of the backend engine. Before any generated script text is passed to the text-to-speech synthesis nodes, specialized trade words, medical acronyms, or local neighborhood titles are programmatically translated into Phonetic Spelling Equivalen

Yes. We feed your specific ElevenLabs Voice ID parameters directly into our WebSocket streaming script nodes. The server executes your custom voice clone dynamically without adding any structural network processing overhead.

I configure comprehensive telemetry monitoring dashboards inside your application frontend. This allows you to visually audit real-time system metrics, including Time-to-First-Token (TTFT) processing latency, network round-trip ping times, and concurrent stream execution counts.