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Vapi Blog更新于 10月14日 09:13

Vapi 推出 Vapi Workflows:可视化多步语音对话编排平台

Introducing Vapi Workflows - Vapi AI Blog

AI 导读

Vapi 发布 Vapi Workflows,一个用于设计多步对话流程的可视化编排平台,可通过 API 或可视化构建器配置。每个工作流由 Conversation、API Request、Transfer Call、Tool、End Call 等节点组成,支持按节点切换语音、模型或语言,提取并跨流程传递变量,用全局跳转节点转接人工,按逻辑或 AI 条件路由对话,以及实时调用 API 并处理响应。产品团队可可视化绘制流程,开发者用 API 接入真实逻辑,并可在通话模拟器中测试。

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Vapicon 2026 is coming

For builders looking to build voice agents that go beyond simple Q&A, managing the flow of conversation, integrating tools, and handling varied user intents is key.

We've developed a new component in Vapi to give you direct control over these multi-step interactions.

What’s New

Today, we have launched Vapi Workflows. A visual orchestration platform for designing multi-step conversation flows.

You get real control visually and in code, enabling you to:

Switch voices, models, or languages on a per-node basis; Extract variables and pass them across the workflow; Escalate to humans with global jump nodes; Route conversations based on logic or AI conditions; Make live API calls and act on responses

Everything is configurable via API or through our visual builder.

Node Types

Each Workflow is built from modular blocks we call nodes. Every node handles a specific function in your call logic:

Conversation Nodes: The core dialog unit, with custom prompts and config; API Request Nodes: Call external services and fetch data live; Transfer Call Nodes: Move the call to a human or another agent; Tool Nodes: Trigger any tool you’ve set up in your Vapi account; End Call Nodes: Wrap up calls with a closing message

Use these together to create complex, adaptive flows without the overhead of long prompts or brittle logic.

Built for Handoff

Workflows bridge the gap between product and engineering. Product teams can map out flows visually like how the conversation should go, where decision points sit, and what happens next. Developers can then hook those flows into real logic using our API.

The flow is visible, editable, and fully testable from day one.

How to Start

Log in to your Vapi Dashboard and open the Workflows tab; Use our quick start guide to build a basic flow; Try out different node types: Conversation, API Request, Transfer; Test with the call simulator before going live

Coming Soon

Prebuilt templates for common use cases; Analytics with node-level performance tracking; Workflow sharing, versioning, and team collaboration; Marketplace integrations with popular CRMs and tools

What’s the most complex flow you’ve built so far and where did it break? We’d love to see it.

Let’s build something better together.

Check out docs for details.

This feature was shipped by the Vapi engineering team.

Table of Contents

How an in-house review bot cut our PR merge time in half

Fast decisions alongside voice AI: early experiments with Jev

Build vs. buy: what you're really deciding with voice agents

What makes a great conversational AI experience?

Why model flexibility matters in voice

Questions from the Anthropic and Vapi Webinar, answered.

Built for the Ear: Designing Conversations for Voice

How we Bootstrapped the Voice Agents on the Vapi Homepage

AGI is here. Why am I still on hold?

Introducing Vapi Monitoring

Vibe code voice agents

Your Voice Agents Need Tests. Now They Have Them.

GPT-5.1 Just Fixed the Thing That's Been Bugging Me for Years

Introducing Squads: Teams of Assistants

GPT-5 Now Live in Vapi

How we solved latency at Vapi

What Is Signal Processing? Voice AI Definition Guide

How to Use Grok 3 in a Voice Agent

Unpacking LLM Temperature

How to Build a GPT-4.1 Voice Agent

What Is Gemma 3? Google's Open-Weight AI Model

What Are IoT Devices? A Developer's Guide to Connected Hardware

Building a GPT-4.1 Mini Phone Agent with Vapi

What Is GPT? Understanding A Core Technology for Voice AI

What is a Phoneme? An In-Depth Look for Technologists

Launching the Vapi for Creators Program

Introducing Vapi Voices

Vapi x Cartesia: Ultra-Realistic Voice AI with Sonic 2.0

Start building

来源

Vapi Blog