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