name: speak-enterprise-rbac description: 'Configure Speak for schools and organizations: SSO, teacher/student roles, class management, and usage reporting.

Use when implementing enterprise rbac,

or managing Speak language learning platform operations.

Trigger with phrases like "speak enterprise rbac", "speak enterprise rbac".

' allowed-tools: Read, Write, Edit, Bash(npm:), Bash(curl:), Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:

• saas
• speak
• api compatibility: Designed for Claude Code, also compatible with Codex and OpenClaw

Speak Enterprise RBAC

Overview

Configure Speak for schools and organizations: SSO, teacher/student roles, class management, and usage reporting.

Prerequisites

• Completed speak-install-auth setup
• Valid API credentials configured
• Understanding of Speak API patterns

Instructions

Step 1: Configuration

Configure enterprise rbac for your Speak integration. Speak uses OpenAI's GPT-4o for AI tutoring and Whisper for speech recognition.

// speak_enterprise_rbac_config.ts
const config = {
  apiKey: process.env.SPEAK_API_KEY!,
  appId: process.env.SPEAK_APP_ID!,
  environment: process.env.NODE_ENV || 'development',
};

Step 2: Implementation

// Core implementation for speak enterprise rbac
import { SpeakClient } from '@speak/language-sdk';

const client = new SpeakClient(config);

// Production-ready implementation
async function setup() {
  const health = await client.health.check();
  console.log("Status:", health.status);
  return health;
}

Step 3: Verification

curl -sf -H "Authorization: Bearer $SPEAK_API_KEY" https://api.speak.com/v1/health | jq .

Output

• Speak Enterprise RBAC configured and verified
• Production-ready Speak integration
• Error handling and monitoring in place

Error Handling

Resources

• Speak Website
• OpenAI Realtime API
• Speak GPT-4 Blog

Next Steps

For production checklist, see speak-prod-checklist.

Examples

Basic: Apply enterprise rbac with default settings for a standard Speak integration.

Production: Configure with monitoring, alerting, and team-specific language learning requirements.