Tavus
Use Tavus with AI apps and agents through Vercel Connect. Follow a complete setup guide for secure runtime access.
Install the skill
$ npx skills add vercel/vercel-plugin --skill vercel-connectConnect to
Tavus$ vercel connect create tavus --name acme-tavusUse its data in agents(opens in new tab) and apps(opens in new tab)
import { getToken } from '@vercel/connect';const userId = 'user_123';const token = await getToken('tavus/acme-tavus', {subject: { type: 'user', id: userId },});
Use Tavus in apps and agents
Build and deploy real-time, face-to-face conversational video agents.
Read the Tavus developer docs(opens in new tab)Why use Vercel Connect with Tavus?
Credentials on demand
Request Tavus credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Request user-authorized Tavus access so actions follow the identity and permissions of the person using your application.
Centralized credential management
Manage Tavus credentials in one place and retrieve them through a consistent runtime API.
Vercel-native controls
Bind connections to the projects and environments that need them while Vercel OIDC authenticates each runtime request.
Use Tavus with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Tavus to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Tavus connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create tavus --name acme-tavusvercel env pullRequest Tavus credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const userId = 'user_123';const token = await getToken('tavus/acme-tavus', {subject: { type: 'user', id: userId },});