Voice Agent

A voice agent that attaches to a live call and speaks with the caller.

Lo que hace

Attaches an agent to a live phone call and speaks with the caller. Audio streams directly to a real-time speech model, which allows the caller to interrupt the agent mid-speech. Configure the model, persona, prompt, tools, context grounding indexes, and escalations directly on the node.

Both call directions use the same three-step shape:

Dirección	Node sequence
Inbound	Incoming Call → Voice agent → End Call
Saliente	Create Outgoing Call → Voice agent → End Call

The node is labeled Voice agent in the Agent category of the node palette.

Referencia de configuración

Campo	Descripción
Modelo	The real-time speech model.
Persona	The voice for the selected model.
Solicitud del sistema	The agent's role, its standing instructions, and how it should close the conversation.
Temperatura	Response creativity from 0 to 1.
Maximum tokens	Maximum token for a conversation.
Call context	The call this agent attaches to. Bind it to an upstream callContext — for example, $vars.createOutgoingCall1.output.callContext.

Variables de salida

You may optionally configure structured output variables in the Outputs section of the properties panel. They are useful for setting goal-oriented or routing variables to use in downstream nodes within the Flow.

Each output variable you declare becomes a field on the agent's output object, referenced as $vars.<agentName>.output.<name>. Give each one a name and a type, then instruct the agent in the variable's description field how to populate it. Output generation is driven by a combination of the agent's system prompt and the output variable descriptions.

The agent populates them when it ends its voice session.

The two most common uses are call summaries and handoffs. For a summary, declare an output such as call_summary and use its description to tell the agent to summarize the call. The agent writes it when it ends its session, and downstream nodes read it as $vars.voiceAgent1.output.call_summary.

Herramientas

Conecta herramientas al identificador de herramientas para dar al agente capacidades que puede llamar mientras razona. El agente decide durante su bucle si llamar a cada herramienta conectada y cuándo hacerlo. Cada herramienta lleva una descripción que le dice al agente para qué sirve, así que escribe descripciones claras cuando una herramienta exponga una.

While designing tools for voice agents:

• The caller waits through every tool call, so keep each tool's job small and fast.
• Tools the agent calls in the same round return together — the slowest one sets how long the caller hears silence.
• After a timeout the agent may report failure and try again, so make tools idempotent. A tool call that has not returned in 180 seconds will time out.

Tool availability

Categoría de herramienta	Disponibilidad
Procesos RPA	Disponible
Flujos de trabajo de API	Disponible
Actividades	Disponible
Otros flujos (Maestro)	Disponible
Process orchestration	Disponible
Coded functions	Disponible
Agente (invoca un agente independiente publicado)	Disponible
Conectores de Integration Service	Disponible
Índices de contextualización	Disponible
Built-in tools (Analyze Files, Deep RAG, Batch Transform)	No disponible
Escaladas	No disponible
Model Context Protocol (MCP) tools	No disponible
A2A (agente a agente)	No disponible
Extracción y Procesamiento Inteligentes (IXP) (extracción de documentos)	No disponible

Built-in voice tools

Every voice agent has access to two built-in tools. These are included but not shown in the Flow canvas:

1. Dual-Tone Multi-Frequency (DTMF) tool: used to press digits on phone key pad, which can be used to navigate external phone trees
2. End session: used to exit the conversation without ending the call. Useful for voice agent handoffs.

Barreras de seguridad de la herramienta

Tool-level guardrails are available on the tools connected to the Voice agent node. You can filter or block on a tool's input parameters. Configure the guardrail on the tool attached to the Voice agent's Tools handle. See tool guardrails.

Handoffs

Ending a voice session is not the same as ending the call. When an agent ends its session it exits the call but leaves the line open: the agent populates its output variables, and the Flow moves to the next node. Only the End call node and the caller can hang up the call.

That is what makes handoffs possible. Chain Voice agent nodes and bind them all to the same Call context. Each agent ends its own session when it is done, and only the last path reaches End call, so the caller stays on the line throughout.

A handoff has two parts:

• Route to the right agent. Give the first agent an output variable — for example handoff — and use its description to tell the agent which value to set. Branch on that value with a Switch node so each case leads to the agent that handles it.
• Carry the context over. A receiving agent knows nothing about what was already said. Either reference a call summary output from the first agent in its system prompt ($vars.voiceAgent1.output.call_summary), or add a Get Conversation Context node on the branch and reference the transcript instead. See Call transcript.

Nota:

Handing a call off to a person is not supported. There is no live call transfer.

Call transcript

To read a transcript after a call, open the debug execution trace or the Orchestrator job traces. See Observability.

To use the transcript inside the Flow:

1. Add a Get Conversation Context node.
2. Pass in $vars.<incomingOrOutgoingCallNodeId>.output.callContext.conversationId. For example, <incomingOrOutgoingCallNodeId> can be createOutgoingCall1.
3. Reference the transcript as $vars.<getConversationContextNodeId>.output.conversationContext.messages. For example, getConversationContextNodeId can be getConversationContext1.

For example, you can pass the transcript to an autonomous agent for processing:

Problemas comunes

The agent talks normally but never runs a tool. The Orchestrator folder has no unattended or default robot with a serverless machine assigned, so every tool call comes back as an error and the agent stays conversational. Add a robot to the folder, then call again. See Orchestrator folder requirements.

The call ends before the conversation is finished, but there are no errors. The agent ended its own session mid-conversation, and the Flow moved on to End call. That is likely a prompting issue where the voice agent thought it finished helping the caller and decided to end the session.

The agent stalls or produces static reading digit strings. With Gemini Live at Temperature 0, long digit strings can stall or sound distorted. Raise Temperature slightly. If the issue persists, try the other model.

The agent fails to attach with a tool schema error. The Gemini model accepts a narrow schema subset. Flatten the tool's input schema, or wrap the tool in an API workflow with a flat input schema and use the workflow as the tool instead.

The call connects, nobody speaks, and it drops after about 25 seconds. A call that never attaches an agent is ended after about 25 seconds of dead air. Bind Call context to the callContext from the Incoming Call trigger or the Create Outgoing Call node.

Páginas relacionadas

• Incoming Call
• Create Outgoing Call
• End Call
• Deployment — connecting a number and binding it to a Flow.