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