- Change frontend apiTokenRequest scopes from OpenID-only to CLIENT_ID/.default This makes Azure AD issue tokens with audience = app client ID instead of Graph API - Add diagnostic logging in backend to show token claims before verification - Fixes 401 Unauthorized errors on all API calls after login 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> |
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| .. | ||
| components | ||
| services | ||
| App.tsx | ||
| constants.ts | ||
| index.html | ||
| index.tsx | ||
| metadata.json | ||
| package-lock.json | ||
| package.json | ||
| README.md | ||
| tsconfig.json | ||
| types.ts | ||
| vite.config.ts | ||
Run and deploy your AI Studio app
This contains everything you need to run your app locally.
View your app in AI Studio: https://ai.studio/apps/drive/1vH-R-vj0Xkk_g2ZFdHtLxNc12sFTOl2L
Run Locally
Prerequisites: Node.js
- Install dependencies:
npm install - Set the
GEMINI_API_KEYin .env.local to your Gemini API key - Run the app:
npm run dev