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Use when the user wants to set up a voice agent or a Voice Gateway endpoint with WebRTC for browser-based voice interaction.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
Use when adding custom logic inside a Cognigy tool branch with manage_flow_nodes — supported node types, config schemas, placement rules, and the tool-first workflow.
Use when the user wants to add xApps to a Cognigy flow — interactive HTML / Adaptive Card mini-apps rendered to the user, with the submitted data flowing back into the conversation. Covers the xApp flow nodes, the Init Session rule, and accessing xApp data.
Add a new MCP tool (or extend an existing one) in the NiCE Cognigy Plugin's MCP server
Use when the user wants to build, create, or set up a new Cognigy AI Agent from scratch — covers listing projects, ensuring an LLM exists, creating the agent, testing it, and refining persona/job fields.
Use when the user wants to add knowledge, RAG, or a knowledge store/source to a Cognigy agent — covers embedding vs Knowledge Search models, Knowledge AI settings, ingesting sources, and attaching knowledge as a tool.
Use when configuring or choosing an LLM for a Cognigy agent — valid provider names (openAI, anthropic, azureOpenAI, google, mistral), model strings, connection types, and credential resolution.
| name | voice-gateway-setup |
| description | Use when the user wants to set up a voice agent or a Voice Gateway endpoint with WebRTC for browser-based voice interaction. |
Deploy an AI Agent as a voice-enabled endpoint with WebRTC support. Users can talk to the agent directly in their browser.
list_resources { resourceType: "project" } to find one, or let create_ai_agent create one automatically.list_resources { resourceType: "flow", projectId } to find existing flows.setup_llm if not configured.{
"projectId": "<24-char hex>",
"flowId": "<flow referenceId>",
"name": "My Voice Agent"
}
This automatically:
voiceGateway2 endpointwebrtcDemoUrl the user can open in a browser{
"projectId": "<24-char hex>",
"flowId": "<flow referenceId>",
"name": "My Voice Agent",
"webrtcWidgetConfig": {
"label": "Support Agent",
"theme": "AI_PURPLE",
"transcription": { "enabled": true },
"tagline": "How can I help you today?",
"avatarLogoUrl": "https://example.com/avatar.png"
}
}
{
"endpointId": "<24-char hex>",
"webrtcWidgetConfig": {
"theme": "CLEAN_WHITE"
}
}
| Theme | Description |
|---|---|
DARK_MODE | Dark background (default) |
CLEAN_WHITE | Light/white background |
AI_PURPLE | Purple accent theme |
| Field | Purpose |
|---|---|
webrtcDemoUrl | Open in browser to talk to the agent — always show this to users |
_integration.wsEndpointUrl | WebSocket URL for programmatic/embedded use |
_integration.embeddingSnippet | HTML code to embed the voice widget on a website |
Copy the embeddingSnippet from the response into your HTML page. It loads the Cognigy WebRTC widget and connects to the voice endpoint automatically.
create_ai_agent → get flowId and projectIdsetup_llm → configure LLM for the projectmanage_voice_gateway { projectId, flowId } → get webrtcDemoUrl