mcpField
T
threads

threads

github.com/tambo-aiDevelopment11.2k103 installsUpdated 3w ago
Repository

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

  1. 01Read thread and streaming state
  2. 02Submit and manage message input
  3. 03Generate and accept suggestions
  4. 04Transcribe voice input
  5. 05Attach and manage images
  6. 06Fetch threads and list conversations

Use cases

  1. 01Build a chat interface with streaming status
  2. 02Let users submit follow-up suggestions
  3. 03Add voice and image input to conversations
  4. 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 threads

After installing, type/threadsin Claude Code to confirm it loaded.

Details

From the project README

Threads 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
PropertyTypeDescription
isIdlebooleanNot generating
isWaitingbooleanWaiting for server response
isStreamingbooleanActively 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:

TypeDescriptionKey Fields
textPlain texttext
componentAI-generated componentid, name, props
tool_useTool invocationid, name, input
tool_resultTool responsetoolUseId, content
resourceMCP resourceuri, 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
PropertyTypeDescription
startRecording() => voidStart recording, reset transcript
stopRecording() => voidStop and start transcription
isRecordingbooleanCurrently recording
isTranscribingbooleanProcessing audio
transcriptstring | nullTranscribed text
transcriptionErrorstring | nullTranscription error
mediaAccessErrorstring | nullMic 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
PropertyTypeDescription
idstringUnique image ID
namestringFile name
dataUrlstringBase64 data URL
fileFileOriginal File object
sizenumberFile size in bytes
typestringMIME 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.

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