LogRocket
Use LogRocket 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
LogRocket$ vercel connect create logrocket --name acme-logrocketUse 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('logrocket/acme-logrocket', {subject: { type: 'user', id: userId },});
Use LogRocket in apps and agents
Investigate sessions, errors, and product analytics.
Read the LogRocket developer docs(opens in new tab)Why use Vercel Connect with LogRocket?
Credentials on demand
Request LogRocket credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Request user-authorized LogRocket access so actions follow the identity and permissions of the person using your application.
Centralized credential management
Manage LogRocket 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 LogRocket with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add LogRocket to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the LogRocket connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create logrocket --name acme-logrocketvercel env pullRequest LogRocket credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const userId = 'user_123';const token = await getToken('logrocket/acme-logrocket', {subject: { type: 'user', id: userId },});