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