- MCP Server ToolsUpdated
- Managed MCP with chat()Updated
- Manual MCPUpdated
- MCP Type GenerationUpdated
- MCP Client InputUpdated
- MCP Server Tools: AdvancedNew
- MCP EventsNew
- MCP AppsUpdated
- Serve Tools over HTTPUpdated
- Serve Resources and PromptsUpdated
- Ask for InputUpdated
- Draft Text from a ToolUpdated
- MCP Server TasksUpdated
- MCP Server AuthUpdated
- MCP Server SessionsUpdated
- MCP Server on stdioUpdated
Persistence (Advanced)
- GenerationsUpdated
- Realtime Voice ChatUpdated
- Text-to-SpeechUpdated
- TranscriptionUpdated
- Transcription: AdvancedNew
- Voice CreationUpdated
- Audio RecordingUpdated
- Audio GenerationUpdated
- Image GenerationUpdated
- Image Generation: AdvancedNew
- Video GenerationUpdated
- Video Generation: AdvancedNew
- Live GenerationUpdated
- World GenerationUpdated
- Generation HooksUpdated
- OverviewUpdated
- Quick StartUpdated
- ProvidersUpdated
- HarnessesUpdated
- Harness AuthUpdated
- WorkspaceUpdated
- ToolsUpdated
- PolicyUpdated
- Lifecycle & SnapshotsUpdated
- Portable SnapshotsUpdated
- Keep Files After ReloadUpdated
- Save a Named VersionUpdated
- Branch From a VersionUpdated
- Send a Frozen FileUpdated
- Let the Agent Save and ForkUpdated
- Pick Which Files to KeepUpdated
- What a Snapshot StoresUpdated
- Instance DurabilityUpdated
- Durable RunsUpdated
- EventsUpdated
Sandboxes (Advanced)
- Runtime ContextUpdated
- Bring Your Own KeyUpdated
- Debug LoggingUpdated
- Multimodal ContentUpdated
- Files APIUpdated
- Per-Model Type SafetyUpdated
- Runtime Adapter SwitchingUpdated
- Tree-ShakingUpdated
- Extend AdapterUpdated
- Extend Adapter: AdvancedNew
- Typed Pre-Configured OptionsUpdated
- Test with a Fake ModelUpdated
- Prompt CachingUpdated
- Mid-Conversation ChangesUpdated
- Approval Flow ProcessingUpdated
Make a tool look right
Register a tool component under toolsComponents and branch on part.state. part.input and part.output are typed from the tool schemas.
The key is the tool name. You need no casts.
This page covers the UI. To run the tool, read Server tools or Client tools.
Full example#
import { fetchServerSentEvents } from '@tanstack/ai-react'
import { createChatHook } from '@tanstack/ai-react/ui'
import { toolDefinition } from '@tanstack/ai'
import { z } from 'zod'
const getWeather = toolDefinition({
name: 'getWeather',
description: 'Look up weather',
inputSchema: z.object({ city: z.string() }),
outputSchema: z.object({ temperature: z.number() }),
}).client()
const chatOptions = {
connection: fetchServerSentEvents('/api/chat'),
tools: [getWeather],
}
const { useAppChat } = createChatHook({
options: chatOptions,
components: {
layout: ({ Messages }) => <main><Messages /></main>,
message: ({ Parts }) => <article><Parts /></article>,
},
partsComponents: {
text: ({ part }) => <p>{part.content}</p>,
fallback: () => null,
},
toolsComponents: {
getWeather: ({ part }) => {
if (part.state === 'input-streaming') return <p>Looking up weather</p>
if (part.state === 'input-complete') return <p>Checking {part.input?.city}</p>
if (part.state === 'error') return <p>Weather lookup failed</p>
if (part.state === 'complete') {
return (
<dl>
<dt>{part.input?.city}</dt>
<dd>{part.output?.temperature}°</dd>
</dl>
)
}
return null
},
},
})
export function WeatherChat() {
const chat = useAppChat({ threadId: 'support-chat' })
return <chat.AppChat />
}The tool now shows progress while it runs, and a definition list when it finishes.
How it works#
Parts finds the tool-call part for getWeather and renders your component with that part. The part re-renders each time its state changes.
| part.state | What to show |
|---|---|
| awaiting-input | The call started. No arguments yet. |
| input-streaming | The model still writes the arguments. Show a spinner. |
| input-complete | The arguments are final. part.input is safe to read. |
| complete | The result arrived. part.output is safe to read. |
| error | The call failed. Show your own copy. |
Two more states apply only to tools that need approval: approval-requested and approval-responded. Read Ask before a tool runs.
Move it to its own file#
A tool map grows fast. Type the props with ToolProps, and the component can live in any file:
import type { ToolProps } from '@tanstack/ai-react/ui'
export function WeatherTool({
part,
}: ToolProps<typeof chatOptions, 'getWeather'>) {
if (part.state !== 'complete') return null
return <dd>{part.output?.temperature}°</dd>
}The second type argument is the tool name. With it, part.input and part.output narrow to the schemas of that tool.
Next#
- A tool that needs a yes or no first? Read Ask before a tool runs.
- Text, thinking, or images? Register them under partsComponents. Read Every widget slot.