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