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Khalid Abdi
31d86bb5dd
Replace the mock chat with the live backend agent: - chat-panel uses @ai-sdk/react useChat against /api/chat (credentials included), passing the selected model + effort per send. The `/patient <file#>` fast-path is kept as an instant client-side shortcut. - Renders the agent's streamed data parts: patientCard → record cards (PatientResult), labCard → new LabChartCard (visx area chart with a high/low flag badge in the top-right corner + recent values), importPreview → ImportPreviewCard (the human approval gate: review counts/issues, then commit via POST /api/ai/import — nothing is written until approved). - Veil consent: a one-time dialog before the first send to a cloud model, explaining that identifiers are de-identified before leaving the clinic. - Attached text files (csv/json/txt…) now include their content in the message so the agent can parse an export for import. Shared chat message/data-part types in lib/ai-chat.ts. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This is a Next.js project bootstrapped with create-next-app.
Getting Started
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.
Learn More
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
Deploy on Vercel
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.