Langbase
Use Langbase 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('langbase/acme-langbase');
Use Langbase in apps and agents
Build and deploy AI agents and applications on serverless infrastructure.
Why use Vercel Connect with Langbase?
Credentials on demand
Request Langbase credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Keep app-scoped Langbase access behind a reusable connector controlled by your team.
Centralized credential management
Manage Langbase 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 Langbase with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Langbase to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Langbase connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create langbase --name acme-langbasevercel env pullRequest Langbase credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('langbase/acme-langbase');
