> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://developers.deepgram.com/docs/genesys-and-deepgram-voice-agent/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://developers.deepgram.com/_mcp/server. # Genesys Cloud CX and Deepgram Voice Agent > Learn how to integrate Genesys Cloud CX with the Deepgram Voice Agent API for real-time conversational AI using the Genesys Audio Connector. # Genesys Cloud CX and Deepgram Voice Agent The Deepgram [Voice Agent API](/docs/voice-agent) integrates with Genesys Cloud CX through the Genesys Audio Connector, establishing a bidirectional WebSocket connection for real-time voice input and output. The Voice Agent API bundles speech-to-text, LLM reasoning, and text-to-speech into a single pipeline, delivering approximately 425 ms round-trip latency. --- ## How it works 1. A caller enters your Genesys call flow 2. Genesys connects to your Voice Agent through a WebSocket 3. Audio streams to Deepgram (STT, LLM, TTS) 4. The agent responds with synthesized voice 5. The caller can interrupt naturally with barge-in support --- ## Before you begin You will need: * A Deepgram API key with Voice Agent enabled * A Genesys Cloud CX account with Audio Connector access * A public server endpoint connected to Deepgram > **Info** > > Before you can use Deepgram, you'll need to [create a Deepgram account](https://console.deepgram.com/signup?jump=keys). Signup is free and includes **\$200** in free credit and access to all of Deepgram's features! --- ## Step 1: Create an Audio Connector in Genesys 1. Go to **Admin > Integrations** 2. Add **Audio Connector** 3. Name the integration (for example, `Deepgram Voice Agent`) 4. Set **Connection URI** to `wss://integrations.deepgram.com/genesys/ac` 5. Add your Deepgram API key under **Credentials** 6. Activate the integration --- ## Step 2: Add the connector to your Architect flow 1. Open **Architect** in Genesys Cloud 2. Open or create an **Inbound Call Flow** 3. Add a **Call Audio Connector** action 4. Select the integration you created in Step 1 This action hands the call to the Deepgram Voice Agent. --- ## Step 3: Configure your AI agent In the Audio Connector's **Session Variables**, add a variable: * **Name:** `config` * **Value:** a JSON string containing your agent configuration > **Info** > > For optimal audio quality, include the following in your agent configuration: ```json "audio": { "input": { "encoding": "mulaw", "sample_rate": 8000 }, "output": { "encoding": "mulaw", "sample_rate": 8000, "container": "none" } } ``` > **Info** > > To allow the Voice Agent to end the call, add an `end_conversation` function to the agent configuration. The function's properties are sent back to Genesys and can be mapped as session output variables. ### Example end conversation function ```json { "name": "end_conversation", "description": "Call this function when the user says goodbye or the conversation ends.", "parameters": { "type": "object", "properties": { "needs_escalation": { "type": "boolean", "description": "Set to true if the user requests a human or manager." } } } } ``` --- ## Step 4: Set up middleware server (self-hosted only) If you use a self-hosted setup, deploy a middleware server to connect Genesys with the Deepgram Voice Agent. Contact your Deepgram account executive for access and setup instructions. --- ## Customization options You can adjust your agent's behavior using these configuration fields: | Setting | Field | | --------------------- | ---------------------- | | Personality | `think.prompt` | | Voice | `speak.provider.model` | | Greeting | `greeting` | | Knowledge / abilities | `think.functions` | --- ## Additional resources * [Deepgram Voice Agent documentation](/docs/voice-agent) * [Genesys and Deepgram STT integration](/docs/genesys-deepgram) > Learn how to integrate Genesys Cloud CX with the Deepgram Voice Agent API for real-time conversational AI using the Genesys Audio Connector.