
How Jev-like models improve LLM voice bots
How Jev and other decision models help LLM voice bots with topic routing, turn detection, barge-in, form filling, action checks and model choice.

How Jev and other decision models help LLM voice bots with topic routing, turn detection, barge-in, form filling, action checks and model choice.

A practical guide to running a compliant voice AI stack on Voximplant: EU data residency, compliance documentation, and what to verify at each layer — telephony, LLM, STT, and TTS

Voximplant now includes a native MCP Client for VoxEngine, giving developers direct connectivity to any MCP server and full control over every tool call

Voximplant now includes a native Deepgram module that connects any Voximplant call to Deepgram’s Voice Agent API for real-time, speech‑to‑speech conversations. You can stream audio from phone numbers, SIP trunks, WhatsApp, or WebRTC into Deepgram’s unified agent environment—combining STT, LLM reasoning, and TTS—and play responses via Voximplant’s serverless runtime with minimal latency.

Learn how a Voice AI Orchestration Platform connects LLMs, STT/TTS, turn‑taking, and telephony (PSTN, SIP, WebRTC) to build reliable real‑time voice agents. See benefits, architecture, and how Voximplant helps.

Voximplant has added a WebSocket privacy option that redacts message payloads from logs across all WebSocket-based services – Voice AI connectors and external speech system – and speech control modules

Connect any OpenAI-compatible text LLM to your voice AI pipeline in VoxEngine via Chat Completions or Responses API. Set baseUrl to any provider or your own deployment, including EU endpoints for data residency

Voximplant now lets developers build full-cascade voice AI pipelines in VoxEngine without sacrificing turn-taking quality.