Files
temetro/.agents/skills/ai-elements/scripts/reasoning.tsx
T
Khalid Abdi 929bec8f31 feat: AI-added records save with placeholders + "Added by AI" provenance
Stop blocking AI imports/proposals on missing non-critical fields. Records
the chat agent drafts now save with safe placeholders, auto-generated file
numbers, and a source="ai" marker that surfaces an "Added by AI" badge so a
clinician can review/edit them later.

Backend:
- add `source` (manual|ai) column to patients/appointments/prescriptions
  (migration 0014) + canonical types, services, validation schemas
- relax patient/appointment validation: empty file number allowed, demographic
  + type/provider/initials fall back to placeholders (initials derived from name)
- patients.generateFileNumber() auto-assigns an MRN when one is missing
- proposeAppointment accepts a name when no file number resolves; AI commits +
  /api/ai/import stamp source="ai"

Frontend:
- `source` on Appointment/Patient/Prescription types; AI commits send source="ai"
- reusable <AiBadge> shown on the Patients table/detail and prescriptions list

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-14 19:27:17 +03:00

72 lines
2.2 KiB
TypeScript

"use client";
import {
Reasoning,
ReasoningContent,
ReasoningTrigger,
} from "@/components/ai-elements/reasoning";
import { useCallback, useEffect, useState } from "react";
const reasoningSteps = [
"Let me think about this problem step by step.",
"\n\nFirst, I need to understand what the user is asking for.",
"\n\nThey want a reasoning component that opens automatically when streaming begins and closes when streaming finishes. The component should be composable and follow existing patterns in the codebase.",
"\n\nThis seems like a collapsible component with state management would be the right approach.",
].join("");
const Example = () => {
const [content, setContent] = useState("");
const [isStreaming, setIsStreaming] = useState(false);
const [currentTokenIndex, setCurrentTokenIndex] = useState(0);
const [tokens, setTokens] = useState<string[]>([]);
// Function to chunk text into fake tokens of 3-4 characters
const chunkIntoTokens = useCallback((text: string): string[] => {
const chunks: string[] = [];
let i = 0;
while (i < text.length) {
// Random size between 3-4
const chunkSize = Math.floor(Math.random() * 2) + 3;
chunks.push(text.slice(i, i + chunkSize));
i += chunkSize;
}
return chunks;
}, []);
useEffect(() => {
const tokenizedSteps = chunkIntoTokens(reasoningSteps);
setTokens(tokenizedSteps);
setContent("");
setCurrentTokenIndex(0);
setIsStreaming(true);
}, [chunkIntoTokens]);
useEffect(() => {
if (!isStreaming || currentTokenIndex >= tokens.length) {
if (isStreaming) {
setIsStreaming(false);
}
return;
}
// Faster interval since we're streaming smaller chunks
const timer = setTimeout(() => {
setContent((prev) => prev + tokens[currentTokenIndex]);
setCurrentTokenIndex((prev) => prev + 1);
}, 25);
return () => clearTimeout(timer);
}, [isStreaming, currentTokenIndex, tokens]);
return (
<div className="w-full p-4" style={{ height: "300px" }}>
<Reasoning className="w-full" isStreaming={isStreaming}>
<ReasoningTrigger />
<ReasoningContent>{content}</ReasoningContent>
</Reasoning>
</div>
);
};
export default Example;