mirror of
https://github.com/temetro/temetro.git
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929bec8f31
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>
268 lines
7.4 KiB
TypeScript
268 lines
7.4 KiB
TypeScript
"use client";
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import {
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Attachment,
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AttachmentPreview,
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AttachmentRemove,
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Attachments,
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} from "@/components/ai-elements/attachments";
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import {
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ModelSelector,
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ModelSelectorContent,
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ModelSelectorEmpty,
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ModelSelectorGroup,
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ModelSelectorInput,
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ModelSelectorItem,
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ModelSelectorList,
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ModelSelectorLogo,
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ModelSelectorLogoGroup,
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ModelSelectorName,
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ModelSelectorTrigger,
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} from "@/components/ai-elements/model-selector";
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import type { PromptInputMessage } from "@/components/ai-elements/prompt-input";
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import {
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PromptInput,
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PromptInputActionAddAttachments,
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PromptInputActionAddScreenshot,
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PromptInputActionMenu,
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PromptInputActionMenuContent,
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PromptInputActionMenuTrigger,
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PromptInputBody,
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PromptInputButton,
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PromptInputFooter,
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PromptInputProvider,
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PromptInputSubmit,
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PromptInputTextarea,
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PromptInputTools,
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usePromptInputAttachments,
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} from "@/components/ai-elements/prompt-input";
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import { CheckIcon, GlobeIcon } from "lucide-react";
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import { memo, useCallback, useState } from "react";
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const models = [
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{
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chef: "OpenAI",
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chefSlug: "openai",
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id: "gpt-4o",
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name: "GPT-4o",
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providers: ["openai", "azure"],
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},
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{
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chef: "OpenAI",
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chefSlug: "openai",
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id: "gpt-4o-mini",
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name: "GPT-4o Mini",
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providers: ["openai", "azure"],
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},
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{
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chef: "Anthropic",
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chefSlug: "anthropic",
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id: "claude-opus-4-20250514",
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name: "Claude 4 Opus",
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providers: ["anthropic", "azure", "google", "amazon-bedrock"],
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},
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{
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chef: "Anthropic",
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chefSlug: "anthropic",
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id: "claude-sonnet-4-20250514",
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name: "Claude 4 Sonnet",
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providers: ["anthropic", "azure", "google", "amazon-bedrock"],
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},
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{
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chef: "Google",
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chefSlug: "google",
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id: "gemini-2.0-flash-exp",
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name: "Gemini 2.0 Flash",
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providers: ["google"],
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},
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];
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const SUBMITTING_TIMEOUT = 200;
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const STREAMING_TIMEOUT = 2000;
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interface AttachmentItemProps {
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attachment: {
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id: string;
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type: "file";
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filename?: string;
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mediaType?: string;
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url: string;
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};
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onRemove: (id: string) => void;
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}
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const AttachmentItem = memo(({ attachment, onRemove }: AttachmentItemProps) => {
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const handleRemove = useCallback(
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() => onRemove(attachment.id),
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[onRemove, attachment.id]
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);
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return (
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<Attachment data={attachment} key={attachment.id} onRemove={handleRemove}>
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<AttachmentPreview />
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<AttachmentRemove />
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</Attachment>
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);
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});
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AttachmentItem.displayName = "AttachmentItem";
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interface ModelItemProps {
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m: (typeof models)[0];
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selectedModel: string;
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onSelect: (id: string) => void;
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}
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const ModelItem = memo(({ m, selectedModel, onSelect }: ModelItemProps) => {
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const handleSelect = useCallback(() => onSelect(m.id), [onSelect, m.id]);
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return (
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<ModelSelectorItem key={m.id} onSelect={handleSelect} value={m.id}>
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<ModelSelectorLogo provider={m.chefSlug} />
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<ModelSelectorName>{m.name}</ModelSelectorName>
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<ModelSelectorLogoGroup>
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{m.providers.map((provider) => (
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<ModelSelectorLogo key={provider} provider={provider} />
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))}
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</ModelSelectorLogoGroup>
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{selectedModel === m.id ? (
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<CheckIcon className="ml-auto size-4" />
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) : (
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<div className="ml-auto size-4" />
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)}
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</ModelSelectorItem>
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);
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});
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ModelItem.displayName = "ModelItem";
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const PromptInputAttachmentsDisplay = () => {
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const attachments = usePromptInputAttachments();
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const handleRemove = useCallback(
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(id: string) => attachments.remove(id),
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[attachments]
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);
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if (attachments.files.length === 0) {
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return null;
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}
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return (
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<Attachments variant="inline">
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{attachments.files.map((attachment) => (
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<AttachmentItem
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attachment={attachment}
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key={attachment.id}
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onRemove={handleRemove}
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/>
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))}
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</Attachments>
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);
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};
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const Example = () => {
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const [model, setModel] = useState<string>(models[0].id);
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const [modelSelectorOpen, setModelSelectorOpen] = useState(false);
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const [status, setStatus] = useState<
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"submitted" | "streaming" | "ready" | "error"
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>("ready");
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const selectedModelData = models.find((m) => m.id === model);
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const handleModelSelect = useCallback((id: string) => {
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setModel(id);
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setModelSelectorOpen(false);
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}, []);
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const handleSubmit = useCallback((message: PromptInputMessage) => {
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const hasText = Boolean(message.text);
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const hasAttachments = Boolean(message.files?.length);
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if (!(hasText || hasAttachments)) {
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return;
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}
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setStatus("submitted");
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// eslint-disable-next-line no-console
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console.log("Submitting message:", message);
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setTimeout(() => {
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setStatus("streaming");
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}, SUBMITTING_TIMEOUT);
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setTimeout(() => {
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setStatus("ready");
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}, STREAMING_TIMEOUT);
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}, []);
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return (
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<div className="size-full">
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<PromptInputProvider>
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<PromptInput globalDrop multiple onSubmit={handleSubmit}>
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<PromptInputAttachmentsDisplay />
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<PromptInputBody>
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<PromptInputTextarea />
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</PromptInputBody>
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<PromptInputFooter>
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<PromptInputTools>
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<PromptInputActionMenu>
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<PromptInputActionMenuTrigger />
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<PromptInputActionMenuContent>
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<PromptInputActionAddAttachments />
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<PromptInputActionAddScreenshot />
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</PromptInputActionMenuContent>
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</PromptInputActionMenu>
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<PromptInputButton>
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<GlobeIcon size={16} />
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<span>Search</span>
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</PromptInputButton>
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<ModelSelector
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onOpenChange={setModelSelectorOpen}
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open={modelSelectorOpen}
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>
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<ModelSelectorTrigger asChild>
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<PromptInputButton>
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{selectedModelData?.chefSlug && (
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<ModelSelectorLogo
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provider={selectedModelData.chefSlug}
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/>
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)}
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{selectedModelData?.name && (
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<ModelSelectorName>
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{selectedModelData.name}
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</ModelSelectorName>
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)}
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</PromptInputButton>
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</ModelSelectorTrigger>
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<ModelSelectorContent>
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<ModelSelectorInput placeholder="Search models..." />
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<ModelSelectorList>
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<ModelSelectorEmpty>No models found.</ModelSelectorEmpty>
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{["OpenAI", "Anthropic", "Google"].map((chef) => (
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<ModelSelectorGroup heading={chef} key={chef}>
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{models
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.filter((m) => m.chef === chef)
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.map((m) => (
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<ModelItem
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key={m.id}
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m={m}
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onSelect={handleModelSelect}
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selectedModel={model}
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/>
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))}
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</ModelSelectorGroup>
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))}
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</ModelSelectorList>
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</ModelSelectorContent>
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</ModelSelector>
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</PromptInputTools>
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<PromptInputSubmit status={status} />
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</PromptInputFooter>
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</PromptInput>
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</PromptInputProvider>
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</div>
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);
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};
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export default Example;
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