About threads
A Tambo React skill for building conversation interfaces with thread state, input, suggestions, voice transcription, and image attachments. It also covers thread retrieval, lists, and per-user isolation.
Key features
- 01Read thread and streaming state
- 02Submit and manage message input
- 03Generate and accept suggestions
- 04Transcribe voice input
- 05Attach and manage images
- 06Fetch threads and list conversations
Use cases
- 01Build a chat interface with streaming status
- 02Let users submit follow-up suggestions
- 03Add voice and image input to conversations
- 04Show thread history or a specific thread
MCP support
The skill documents MCP resource content blocks in messages. It does not describe connecting to or managing MCP servers.
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ tambo-ai/ tambo --skill threadsAfter installing, type/threadsin Claude Code to confirm it loaded.
Details
From the project READMEThreads and Input
Manages conversations, suggestions, voice input, and image attachments.
Quick Start
import { useTambo, useTamboThreadInput } from "@tambo-ai/react";
const { thread, messages, isIdle } = useTambo();
const { value, setValue, submit } = useTamboThreadInput();
await submit(); // sends current input value
Thread Management
Access and manage the current thread using useTambo() and useTamboThreadInput():
import {
useTambo,
useTamboThreadInput,
ComponentRenderer,
} from "@tambo-ai/react";
function Chat() {
const {
thread, // Current thread state
messages, // Messages with computed properties
isIdle, // True when not generating
isStreaming, // True when streaming response
isWaiting, // True when waiting for server
currentThreadId, // Active thread ID
switchThread, // Switch to different thread
startNewThread, // Create new thread, returns ID
cancelRun, // Cancel active generation
} = useTambo();
const {
value, // Current input value
setValue, // Update input
submit, // Send message
isPending, // Submission in progress
images, // Staged image files
addImage, // Add single image
removeImage, // Remove image by ID
} = useTamboThreadInput();
const handleSend = async () => {
await submit();
};
return (
<div>
{messages.map((msg) => (
<div key={msg.id}>
{msg.content.map((block) => {
switch (block.type) {
case "text":
return <p key={`${msg.id}:text`}>{block.text}</p>;
case "component":
return (
<ComponentRenderer
key={block.id}
content={block}
threadId={currentThreadId}
messageId={msg.id}
/>
);
case "tool_use":
return (
<div key={block.id}>
{block.statusMessage ?? `Running ${block.name}...`}
</div>
);
default:
return null;
}
})}
</div>
))}
<input value={value} onChange={(e) => setValue(e.target.value)} />
<button onClick={handleSend} disabled={!isIdle || isPending}>
Send
</button>
</div>
);
}
Streaming State
| Property | Type | Description |
|---|---|---|
isIdle | boolean | Not generating |
isWaiting | boolean | Waiting for server response |
isStreaming | boolean | Actively streaming response |
The streamingState object provides additional detail:
const { streamingState } = useTambo();
// streamingState.status: "idle" | "waiting" | "streaming"
// streamingState.runId: current run ID
// streamingState.error: { message, code } if error occurred
Content Block Types
Messages contain an array of content blocks. Handle each type:
| Type | Description | Key Fields |
|---|---|---|
text | Plain text | text |
component | AI-generated component | id, name, props |
tool_use | Tool invocation | id, name, input |
tool_result | Tool response | toolUseId, content |
resource | MCP resource | uri, name, text |
Submit Options
const { submit } = useTamboThreadInput();
await submit({
toolChoice: "auto", // "auto" | "required" | "none" | { name: "toolName" }
debug: true, // Enable debug logging for the stream
});
Fetching a Thread by ID
To fetch a specific thread (e.g., for a detail view), use useTamboThread(threadId):
import { useTamboThread } from "@tambo-ai/react";
function ThreadView({ threadId }: { threadId: string }) {
const { data: thread, isLoading, isError } = useTamboThread(threadId);
if (isLoading) return <Skeleton />;
if (isError) return <div>Failed to load thread</div>;
return <div>{thread.name}</div>;
}
This is a React Query hook - use it for read-only thread fetching, not for the active conversation.
Thread List
Manage multiple conversations:
import { useTambo, useTamboThreadList } from "@tambo-ai/react";
function ThreadSidebar() {
const { data, isLoading } = useTamboThreadList();
const { currentThreadId, switchThread, startNewThread } = useTambo();
if (isLoading) return <Skeleton />;
return (
<div>
<button onClick={() => startNewThread()}>New Thread</button>
<ul>
{data?.threads.map((t) => (
<li key={t.id}>
<button
onClick={() => switchThread(t.id)}
className={currentThreadId === t.id ? "active" : ""}
>
{t.name || "Untitled"}
</button>
</li>
))}
</ul>
</div>
);
}
Thread List Options
const { data } = useTamboThreadList({
userKey: "user_123", // Filter by user (defaults to provider's userKey)
limit: 20, // Max results
cursor: nextCursor, // Pagination cursor
});
// data.threads: TamboThread[]
// data.hasMore: boolean
// data.nextCursor: string
Suggestions
AI-generated follow-up suggestions after each assistant message:
import { useTamboSuggestions } from "@tambo-ai/react";
function Suggestions() {
const { suggestions, isLoading, accept, isAccepting } = useTamboSuggestions({
maxSuggestions: 3, // 1-10, default 3
autoGenerate: true, // Auto-generate after assistant message
});
if (isLoading) return <Skeleton />;
return (
<div className="suggestions">
{suggestions.map((s) => (
<button
key={s.id}
onClick={() => accept({ suggestion: s })}
disabled={isAccepting}
>
{s.title}
</button>
))}
</div>
);
}
Auto-Submit Suggestion
// Accept and immediately submit as a message
accept({ suggestion: s, shouldSubmit: true });
Manual Generation
const { generate, isGenerating } = useTamboSuggestions({
autoGenerate: false, // Disable auto-generation
});
<button onClick={() => generate()} disabled={isGenerating}>
Get suggestions
</button>;
Voice Input
Speech-to-text transcription:
import { useTamboVoice } from "@tambo-ai/react";
function VoiceButton() {
const {
startRecording,
stopRecording,
isRecording,
isTranscribing,
transcript,
transcriptionError,
mediaAccessError,
} = useTamboVoice();
return (
<div>
<button onClick={isRecording ? stopRecording : startRecording}>
{isRecording ? "Stop" : "Record"}
</button>
{isTranscribing && <span>Transcribing...</span>}
{transcript && <p>{transcript}</p>}
{transcriptionError && <p className="error">{transcriptionError}</p>}
</div>
);
}
Voice Hook Returns
| Property | Type | Description |
|---|---|---|
startRecording | () => void | Start recording, reset transcript |
stopRecording | () => void | Stop and start transcription |
isRecording | boolean | Currently recording |
isTranscribing | boolean | Processing audio |
transcript | string | null | Transcribed text |
transcriptionError | string | null | Transcription error |
mediaAccessError | string | null | Mic access error |
Image Attachments
Images are managed via useTamboThreadInput():
import { useTamboThreadInput } from "@tambo-ai/react";
function ImageInput() {
const { images, addImage, addImages, removeImage, clearImages } =
useTamboThreadInput();
const handleFiles = async (files: FileList) => {
await addImages(Array.from(files));
};
return (
<div>
<input
type="file"
accept="image/*"
multiple
onChange={(e) => handleFiles(e.target.files!)}
/>
{images.map((img) => (
<div key={img.id}>
<img src={img.dataUrl} alt={img.name} />
<button onClick={() => removeImage(img.id)}>Remove</button>
</div>
))}
</div>
);
}
StagedImage Properties
| Property | Type | Description |
|---|---|---|
id | string | Unique image ID |
name | string | File name |
dataUrl | string | Base64 data URL |
file | File | Original File object |
size | number | File size in bytes |
type | string | MIME type |
User Authentication
Enable per-user thread isolation:
import { TamboProvider } from "@tambo-ai/react";
function App() {
return (
<TamboProvider
apiKey={apiKey}
userKey="user_123" // Simple user identifier
>
<Chat />
</TamboProvider>
);
}
For OAuth-based auth, use userToken instead:
function App() {
const userToken = useUserToken(); // From your auth provider
return (
<TamboProvider apiKey={apiKey} userToken={userToken}>
<Chat />
</TamboProvider>
);
}
Use userKey for simple user identification or userToken for OAuth JWT tokens. Don't use both.