3a5c3bcde3
When a subsequent revision of a proof is uploaded, the analysis now takes place in context of the previous version's results. The system identifies: - Resolved issues: fixed in the new revision - Outstanding issues: still present from previous version - New issues: introduced in the new revision Key changes: - Add resolvedIssues, outstandingIssues, newIssues fields to SubReview - Add PreviousReviewContext model for passing previous review data - Update all specialist agents to accept previous_review context - Extend GeminiService with include_revision_fields parameter - Add get_latest_version_review() repository method - Update LeadAgent to synthesize cross-version context in summary - Fetch previous analysis in WebSocket handler for revisions First version analysis continues to work exactly as before with revision fields set to null. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> |
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| .. | ||
| components | ||
| hooks | ||
| 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