Inworld AI
Use Inworld AI 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
Use its data in agents(opens in new tab) and apps(opens in new tab)
import { getToken } from '@vercel/connect';const token = await getToken('inworld-ai/acme-inworld-ai');
Use Inworld AI in apps and agents
Generate and recognize speech, manage voices, and access AI models.
Read the Inworld AI developer docs(opens in new tab)Why use Vercel Connect with Inworld AI?
Credentials on demand
Request Inworld AI credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Keep app-scoped Inworld AI access behind a reusable connector controlled by your team.
Centralized credential management
Manage Inworld AI 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 Inworld AI with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Inworld AI to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Inworld AI connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create inworld-ai --name acme-inworld-aivercel env pullRequest Inworld AI credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('inworld-ai/acme-inworld-ai');
