Individual skill
crestapps-core-realtime-voice
Skill for realtime speech-to-speech voice in CrestApps.Core 2.0. Covers the realtime deployment capability and slot, Conversation chat mode with ConversationDeploymentName on profiles and chat interactions, ResolveConversationModeAsync, cascaded realtime deployments with CascadedRealtimeMetadata chaining speech-to-text, chat and text-to-speech legs, the CrestApps.Core.AI.WebRTC server-relay transport registered with AddWebRtcRealtimeTransport and its WebSocket fallback, RealtimeTransportOptions (idle timeout, max duration, semantic turn detection, knowledge grounding, STUN and TURN), coturn and Cloudflare TURN, custom IRealtimeIceServerProvider, IRealtimeOrchestrator and IRealtimeConversation, user transcription, the realtime hub methods and ReceiveRealtimeEvent contract, the CoreAIRealtime browser client, and upgrading from 1.x. Use it when adding voice to a chat surface, configuring TURN, building a cascade, or troubleshooting silent sessions, fallbacks, or missing transcripts.
plugins/crestapps-core/skills/crestapps-core-realtime-voice/SKILL.md
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- Last checked
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- Repository last updated
- Oct 21, 2026
- License
- MIT
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SKILL.mdcore · 17,821 bytesSKILL.mdcore · 17,821 bytesreferences/realtime-voice-examples.mddoc · 11,109 bytes
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# CrestApps.Core Realtime Voice
A realtime session is a live, spoken conversation: audio in, audio out, with barge-in. It runs through the same orchestration as text chat, so the profile's or interaction's system message, persona, tools, data sources and turn persistence all apply. Audio travels over **WebRTC** (server relay) when available and falls back to **WebSocket** (PCM over SignalR) automatically.
## Guidelines
- Realtime is a model capability, not a chat mode. Declare the `realtime` feature on the deployment; it then fills the `realtime` slot. Never add `textGeneration` to a speech-to-speech-only model.
- A profile speaks when its chat mode is `Conversation` and a realtime deployment resolves. A chat interaction speaks when `ConversationDeploymentName` is set.
- Providers with a native realtime client in CrestApps.Core are OpenAI and Azure OpenAI (`gpt-realtime`). For anything else, build a cascaded realtime deployment.
- Register `AddWebRtcRealtimeTransport()` for production voice, and configure TURN so users behind strict NATs are not pushed to WebSocket after an 8-second wait.
- Add a speech-to-text deployment on the realtime deployment's provider (for example `gpt-4o-transcribe`), or the user's turns are not transcribed.
- Keep a voice profile's tool list short; every tool sits in the model's context on every turn.
- The chat hubs and UI are covered by `crestapps-core-chat-interactions`, hub options by `crestapps-core-signalr`, and provider configuration by `crestapps-core-openai` and `crestapps-core-azure-openai`.