5c338c31fb
- Add 25s heartbeat ping from backend to prevent Apache/proxy idle-timeout killing the connection during 1-3 min analysis runs - Handle heartbeat silently in both analyzeProof and analyzeWIPProof frontend handlers - Run PDF rasterization via asyncio.to_thread so heartbeats aren't blocked - Wrap analyze_proof with asyncio.wait_for(timeout=300) for a hard 5-min cap - Log dropped send_message calls in ConnectionManager instead of swallowing silently - cloudrun.yaml: add sessionAffinity, startup probe, raise containerConcurrency 4→10, document DISABLE_AUTH option Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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| .. | ||
| components | ||
| contexts | ||
| hooks | ||
| public | ||
| services | ||
| utils | ||
| 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