Landbot
Use Landbot with AI apps and agents through Edgenivo 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 and apps
import { getToken } from '@vercel/connect';const token = await getToken('landbot/acme-landbot');
Use Landbot in apps and agents
Build chatbots for customer engagement, lead generation, and support.
Why use Edgenivo Connect with Landbot?
Credentials on demand
Request Landbot credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Keep app-scoped Landbot access behind a reusable connector controlled by your team.
Centralized credential management
Manage Landbot credentials in one place and retrieve them through a consistent runtime API.
Edgenivo-native controls
Bind connections to the projects and environments that need them while Edgenivo OIDC authenticates each runtime request.
Use Landbot with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Landbot to an existing Edgenivo application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Landbot connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create landbot --name acme-landbotvercel env pullRequest Landbot credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('landbot/acme-landbot');
