mirror of
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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>
286 lines
8.5 KiB
Markdown
286 lines
8.5 KiB
Markdown
# Tool
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A collapsible component for displaying tool invocation details in AI chatbot interfaces.
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The `Tool` component displays a collapsible interface for showing/hiding tool details. It is designed to take the `ToolUIPart` type from the AI SDK and display it in a collapsible interface.
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See `scripts/tool.tsx` for this example.
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## Installation
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```bash
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npx ai-elements@latest add tool
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```
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## Usage in AI SDK
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Build a simple stateful weather app that renders the last message in a tool using [`useChat`](/docs/reference/ai-sdk-ui/use-chat).
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Add the following component to your frontend:
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```tsx title="app/page.tsx"
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"use client";
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import { useChat } from "@ai-sdk/react";
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import { DefaultChatTransport, type ToolUIPart } from "ai";
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import { Button } from "@/components/ui/button";
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import { MessageResponse } from "@/components/ai-elements/message";
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import {
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Tool,
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ToolContent,
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ToolHeader,
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ToolInput,
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ToolOutput,
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} from "@/components/ai-elements/tool";
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type WeatherToolInput = {
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location: string;
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units: "celsius" | "fahrenheit";
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};
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type WeatherToolOutput = {
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location: string;
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temperature: string;
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conditions: string;
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humidity: string;
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windSpeed: string;
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lastUpdated: string;
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};
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type WeatherToolUIPart = ToolUIPart<{
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fetch_weather_data: {
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input: WeatherToolInput;
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output: WeatherToolOutput;
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};
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}>;
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const Example = () => {
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const { messages, sendMessage, status } = useChat({
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transport: new DefaultChatTransport({
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api: "/api/weather",
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}),
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});
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const handleWeatherClick = () => {
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sendMessage({ text: "Get weather data for San Francisco in fahrenheit" });
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};
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const latestMessage = messages[messages.length - 1];
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const weatherTool = latestMessage?.parts?.find(
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(part) => part.type === "tool-fetch_weather_data"
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) as WeatherToolUIPart | undefined;
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return (
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<div className="max-w-4xl mx-auto p-6 relative size-full rounded-lg border h-[600px]">
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<div className="flex flex-col h-full">
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<div className="space-y-4">
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<Button onClick={handleWeatherClick} disabled={status !== "ready"}>
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Get Weather for San Francisco
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</Button>
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{weatherTool && (
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<Tool defaultOpen={true}>
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<ToolHeader
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type="tool-fetch_weather_data"
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state={weatherTool.state}
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/>
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<ToolContent>
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<ToolInput input={weatherTool.input} />
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<ToolOutput
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output={
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<MessageResponse>
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{formatWeatherResult(weatherTool.output)}
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</MessageResponse>
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}
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errorText={weatherTool.errorText}
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/>
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</ToolContent>
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</Tool>
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)}
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</div>
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</div>
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</div>
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);
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};
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function formatWeatherResult(result: WeatherToolOutput): string {
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return `**Weather for ${result.location}**
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**Temperature:** ${result.temperature}
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**Conditions:** ${result.conditions}
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**Humidity:** ${result.humidity}
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**Wind Speed:** ${result.windSpeed}
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*Last updated: ${result.lastUpdated}*`;
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}
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export default Example;
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```
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Add the following route to your backend:
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```ts title="app/api/weather/route.tsx"
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import { streamText, UIMessage, convertToModelMessages } from "ai";
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import { z } from "zod";
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// Allow streaming responses up to 30 seconds
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export const maxDuration = 30;
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export async function POST(req: Request) {
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const { messages }: { messages: UIMessage[] } = await req.json();
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const result = streamText({
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model: "openai/gpt-4o",
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messages: await convertToModelMessages(messages),
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tools: {
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fetch_weather_data: {
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description: "Fetch weather information for a specific location",
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parameters: z.object({
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location: z
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.string()
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.describe("The city or location to get weather for"),
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units: z
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.enum(["celsius", "fahrenheit"])
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.default("celsius")
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.describe("Temperature units"),
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}),
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inputSchema: z.object({
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location: z.string(),
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units: z.enum(["celsius", "fahrenheit"]).default("celsius"),
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}),
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execute: async ({ location, units }) => {
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await new Promise((resolve) => setTimeout(resolve, 1500));
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const temp =
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units === "celsius"
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? Math.floor(Math.random() * 35) + 5
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: Math.floor(Math.random() * 63) + 41;
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return {
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location,
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temperature: `${temp}°${units === "celsius" ? "C" : "F"}`,
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conditions: "Sunny",
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humidity: `12%`,
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windSpeed: `35 ${units === "celsius" ? "km/h" : "mph"}`,
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lastUpdated: new Date().toLocaleString(),
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};
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},
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},
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},
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});
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return result.toUIMessageStreamResponse();
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}
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```
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## Features
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- Collapsible interface for showing/hiding tool details
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- Visual status indicators with icons and badges
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- Support for multiple tool execution states (pending, running, completed, error)
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- Formatted parameter display with JSON syntax highlighting
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- Result and error handling with appropriate styling
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- Composable structure for flexible layouts
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- Accessible keyboard navigation and screen reader support
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- Consistent styling that matches your design system
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- Auto-opens completed tools by default for better UX
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## Examples
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### Input Streaming (Pending)
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Shows a tool in its initial state while parameters are being processed.
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See `scripts/tool-input-streaming.tsx` for this example.
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### Input Available (Running)
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Shows a tool that's actively executing with its parameters.
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See `scripts/tool-input-available.tsx` for this example.
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### Output Available (Completed)
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Shows a completed tool with successful results. Opens by default to show the results. In this instance, the output is a JSON object, so we can use the `CodeBlock` component to display it.
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See `scripts/tool-output-available.tsx` for this example.
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### Output Error
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Shows a tool that encountered an error during execution. Opens by default to display the error.
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See `scripts/tool-output-error.tsx` for this example.
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## Props
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### `<Tool />`
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| Prop | Type | Default | Description |
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|------|------|---------|-------------|
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| `...props` | `React.ComponentProps<typeof Collapsible>` | - | Any other props are spread to the root Collapsible component. |
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### `<ToolHeader />`
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| Prop | Type | Default | Description |
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|------|------|---------|-------------|
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| `title` | `string` | - | Custom title to display instead of the derived tool name. |
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| `type` | `ToolUIPart[` | Required | The type/name of the tool. |
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| `state` | `ToolUIPart[` | Required | The current state of the tool (input-streaming, input-available, output-available, or output-error). |
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| `toolName` | `string` | - | Required when type is |
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| `className` | `string` | - | Additional CSS classes to apply to the header. |
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| `...props` | `React.ComponentProps<typeof CollapsibleTrigger>` | - | Any other props are spread to the CollapsibleTrigger. |
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### `<ToolContent />`
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| Prop | Type | Default | Description |
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|------|------|---------|-------------|
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| `...props` | `React.ComponentProps<typeof CollapsibleContent>` | - | Any other props are spread to the CollapsibleContent. |
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### `<ToolInput />`
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| Prop | Type | Default | Description |
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|------|------|---------|-------------|
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| `input` | `ToolUIPart[` | - | The input parameters passed to the tool, displayed as formatted JSON. |
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| `...props` | `React.ComponentProps<` | - | Any other props are spread to the underlying div. |
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### `<ToolOutput />`
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| Prop | Type | Default | Description |
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|------|------|---------|-------------|
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| `output` | `React.ReactNode` | - | The output/result of the tool execution. |
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| `errorText` | `ToolUIPart[` | - | An error message if the tool execution failed. |
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| `...props` | `React.ComponentProps<` | - | Any other props are spread to the underlying div. |
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## Type Exports
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### `ToolPart`
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Union type representing both static and dynamic tool UI parts.
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```tsx
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type ToolPart = ToolUIPart | DynamicToolUIPart;
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```
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## Utilities
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### `getStatusBadge`
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Returns a Badge component with icon and label based on tool state.
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```tsx
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import { getStatusBadge } from "@/components/ai-elements/tool";
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// Returns a Badge with appropriate icon and label
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const badge = getStatusBadge("output-available");
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```
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Supported states:
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- `input-streaming` - "Pending"
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- `input-available` - "Running"
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- `approval-requested` - "Awaiting Approval"
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- `approval-responded` - "Responded"
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- `output-available` - "Completed"
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- `output-error` - "Error"
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- `output-denied` - "Denied"
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