Files
temetro/.agents/skills/ai-elements/scripts/prompt-input.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

268 lines
7.4 KiB
TypeScript

"use client";
import {
Attachment,
AttachmentPreview,
AttachmentRemove,
Attachments,
} from "@/components/ai-elements/attachments";
import {
ModelSelector,
ModelSelectorContent,
ModelSelectorEmpty,
ModelSelectorGroup,
ModelSelectorInput,
ModelSelectorItem,
ModelSelectorList,
ModelSelectorLogo,
ModelSelectorLogoGroup,
ModelSelectorName,
ModelSelectorTrigger,
} from "@/components/ai-elements/model-selector";
import type { PromptInputMessage } from "@/components/ai-elements/prompt-input";
import {
PromptInput,
PromptInputActionAddAttachments,
PromptInputActionAddScreenshot,
PromptInputActionMenu,
PromptInputActionMenuContent,
PromptInputActionMenuTrigger,
PromptInputBody,
PromptInputButton,
PromptInputFooter,
PromptInputProvider,
PromptInputSubmit,
PromptInputTextarea,
PromptInputTools,
usePromptInputAttachments,
} from "@/components/ai-elements/prompt-input";
import { CheckIcon, GlobeIcon } from "lucide-react";
import { memo, useCallback, useState } from "react";
const models = [
{
chef: "OpenAI",
chefSlug: "openai",
id: "gpt-4o",
name: "GPT-4o",
providers: ["openai", "azure"],
},
{
chef: "OpenAI",
chefSlug: "openai",
id: "gpt-4o-mini",
name: "GPT-4o Mini",
providers: ["openai", "azure"],
},
{
chef: "Anthropic",
chefSlug: "anthropic",
id: "claude-opus-4-20250514",
name: "Claude 4 Opus",
providers: ["anthropic", "azure", "google", "amazon-bedrock"],
},
{
chef: "Anthropic",
chefSlug: "anthropic",
id: "claude-sonnet-4-20250514",
name: "Claude 4 Sonnet",
providers: ["anthropic", "azure", "google", "amazon-bedrock"],
},
{
chef: "Google",
chefSlug: "google",
id: "gemini-2.0-flash-exp",
name: "Gemini 2.0 Flash",
providers: ["google"],
},
];
const SUBMITTING_TIMEOUT = 200;
const STREAMING_TIMEOUT = 2000;
interface AttachmentItemProps {
attachment: {
id: string;
type: "file";
filename?: string;
mediaType?: string;
url: string;
};
onRemove: (id: string) => void;
}
const AttachmentItem = memo(({ attachment, onRemove }: AttachmentItemProps) => {
const handleRemove = useCallback(
() => onRemove(attachment.id),
[onRemove, attachment.id]
);
return (
<Attachment data={attachment} key={attachment.id} onRemove={handleRemove}>
<AttachmentPreview />
<AttachmentRemove />
</Attachment>
);
});
AttachmentItem.displayName = "AttachmentItem";
interface ModelItemProps {
m: (typeof models)[0];
selectedModel: string;
onSelect: (id: string) => void;
}
const ModelItem = memo(({ m, selectedModel, onSelect }: ModelItemProps) => {
const handleSelect = useCallback(() => onSelect(m.id), [onSelect, m.id]);
return (
<ModelSelectorItem key={m.id} onSelect={handleSelect} value={m.id}>
<ModelSelectorLogo provider={m.chefSlug} />
<ModelSelectorName>{m.name}</ModelSelectorName>
<ModelSelectorLogoGroup>
{m.providers.map((provider) => (
<ModelSelectorLogo key={provider} provider={provider} />
))}
</ModelSelectorLogoGroup>
{selectedModel === m.id ? (
<CheckIcon className="ml-auto size-4" />
) : (
<div className="ml-auto size-4" />
)}
</ModelSelectorItem>
);
});
ModelItem.displayName = "ModelItem";
const PromptInputAttachmentsDisplay = () => {
const attachments = usePromptInputAttachments();
const handleRemove = useCallback(
(id: string) => attachments.remove(id),
[attachments]
);
if (attachments.files.length === 0) {
return null;
}
return (
<Attachments variant="inline">
{attachments.files.map((attachment) => (
<AttachmentItem
attachment={attachment}
key={attachment.id}
onRemove={handleRemove}
/>
))}
</Attachments>
);
};
const Example = () => {
const [model, setModel] = useState<string>(models[0].id);
const [modelSelectorOpen, setModelSelectorOpen] = useState(false);
const [status, setStatus] = useState<
"submitted" | "streaming" | "ready" | "error"
>("ready");
const selectedModelData = models.find((m) => m.id === model);
const handleModelSelect = useCallback((id: string) => {
setModel(id);
setModelSelectorOpen(false);
}, []);
const handleSubmit = useCallback((message: PromptInputMessage) => {
const hasText = Boolean(message.text);
const hasAttachments = Boolean(message.files?.length);
if (!(hasText || hasAttachments)) {
return;
}
setStatus("submitted");
// eslint-disable-next-line no-console
console.log("Submitting message:", message);
setTimeout(() => {
setStatus("streaming");
}, SUBMITTING_TIMEOUT);
setTimeout(() => {
setStatus("ready");
}, STREAMING_TIMEOUT);
}, []);
return (
<div className="size-full">
<PromptInputProvider>
<PromptInput globalDrop multiple onSubmit={handleSubmit}>
<PromptInputAttachmentsDisplay />
<PromptInputBody>
<PromptInputTextarea />
</PromptInputBody>
<PromptInputFooter>
<PromptInputTools>
<PromptInputActionMenu>
<PromptInputActionMenuTrigger />
<PromptInputActionMenuContent>
<PromptInputActionAddAttachments />
<PromptInputActionAddScreenshot />
</PromptInputActionMenuContent>
</PromptInputActionMenu>
<PromptInputButton>
<GlobeIcon size={16} />
<span>Search</span>
</PromptInputButton>
<ModelSelector
onOpenChange={setModelSelectorOpen}
open={modelSelectorOpen}
>
<ModelSelectorTrigger asChild>
<PromptInputButton>
{selectedModelData?.chefSlug && (
<ModelSelectorLogo
provider={selectedModelData.chefSlug}
/>
)}
{selectedModelData?.name && (
<ModelSelectorName>
{selectedModelData.name}
</ModelSelectorName>
)}
</PromptInputButton>
</ModelSelectorTrigger>
<ModelSelectorContent>
<ModelSelectorInput placeholder="Search models..." />
<ModelSelectorList>
<ModelSelectorEmpty>No models found.</ModelSelectorEmpty>
{["OpenAI", "Anthropic", "Google"].map((chef) => (
<ModelSelectorGroup heading={chef} key={chef}>
{models
.filter((m) => m.chef === chef)
.map((m) => (
<ModelItem
key={m.id}
m={m}
onSelect={handleModelSelect}
selectedModel={model}
/>
))}
</ModelSelectorGroup>
))}
</ModelSelectorList>
</ModelSelectorContent>
</ModelSelector>
</PromptInputTools>
<PromptInputSubmit status={status} />
</PromptInputFooter>
</PromptInput>
</PromptInputProvider>
</div>
);
};
export default Example;