
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.

Voximplant AI Agent Skills let your coding agent build and ship voice applications without switching tools

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.

Voximplant now includes a native Cartesia Line / Agents connector that connects any Voximplant call to a Cartesia Line voice agent for real-time, speech-to-speech conversations—over PSTN, SIP, WebRTC, or WhatsApp Business Calling—without building custom media gateways or WebSocket streaming infrastructure.

Use Realtime API in VoxEngine to build speech-to-speech voice AI with data residency control. Set baseUrl to any OpenAI Realtime-compatible endpoint, including Azure EU deployments, and control where call audio is processed

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

Agentic VoiceDSP handles turn-taking for voice agents on your own STT, LLM and TTS: pauses, interruptions, silence and noisy lines, right inside Voximplant.

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

Voximplant now supports Inworld's Realtime API, so you can bring Inworld's expressive, conversation-aware agents into real phone calls, SIP, and WhatsApp without custom media infrastructure