React Integration
v7 uses AI SDK v6 patterns
This page references the legacy AI SDK v4 useChat API (isLoading, handleInputChange, initialMessages). v7 targets AI SDK v6 (messages, sendMessage, transport, addToolOutput). For the canonical v7 React wiring — DefaultChatTransport + prepareHelixChatRequest + prepareHelixReconnectRequest + useHelixChat (for client-executed tools) — see Frontend / @helix-agents/ai-sdk and the @helix-agents/ai-sdk README — composability ladder.
Build real-time chat UIs with React using Vercel AI SDK's useChat hook. This guide shows how to display streaming text, tool invocations, and thinking content from Helix Agents.
Prerequisites
npm install ai @ai-sdk/reactResumable chat with useHelixChat (recommended)
This is the canonical v7 client: it renders the server's snapshot, resumes a live run from the snapshot's cursor, re-anchors after a rewind or a retried attempt, and shows explicit error states. The full contract is in Resumable Streams.
'use client';
import { useMemo, useState } from 'react';
import { DefaultChatTransport } from 'ai';
import {
fetchSnapshotWithRetry,
parseHelixChatError,
prepareHelixChatRequest,
prepareHelixReconnectRequest,
snapshotResumeOptions,
SnapshotUnavailableError,
} from '@helix-agents/ai-sdk/client';
import { useHelixChat } from '@helix-agents/ai-sdk/react';
import type { FrontendSnapshot } from '@helix-agents/ai-sdk';
function ChatView({
sessionId,
snapshot,
}: {
sessionId: string;
snapshot: FrontendSnapshot<MyState>;
}) {
// active / paused: seed WITHOUT the in-flight message and resume with the
// replayed prefix; ended / failed: seed the whole snapshot, no resume.
const resumeOptions = useMemo(() => snapshotResumeOptions(snapshot), [snapshot]);
const transport = useMemo(() => {
const api = `/api/chat/${sessionId}`;
return new DefaultChatTransport({
api,
prepareSendMessagesRequest: prepareHelixChatRequest({ api }),
prepareReconnectToStreamRequest: prepareHelixReconnectRequest({
api,
resumeFromSequence: resumeOptions.resumeFromSequence,
existingMessageId: resumeOptions.existingMessageId,
replayPrefix: resumeOptions.replayPrefix,
}),
});
}, [sessionId, resumeOptions]);
const chat = useHelixChat({
id: sessionId,
transport,
messages: resumeOptions.messages,
resume: resumeOptions.resume,
resync: { snapshotUrl: `/api/chat/${sessionId}/snapshot`, snapshot },
});
// A send refused because a run is already active: 409 state_already_running.
const sendError = parseHelixChatError(chat.error);
return (
<div>
{chat.messages.map((m) => (
<Message key={m.id} message={m} />
))}
{chat.resyncError && <Banner>Could not reload the conversation.</Banner>}
{chat.error && (
<Banner>
{sendError?.error ?? chat.error.message}
{sendError?.retryable && <button onClick={() => void chat.regenerate()}>Retry</button>}
</Banner>
)}
<Composer onSend={(text) => chat.sendMessage({ text })} onStop={() => void chat.stop()} />
</div>
);
}useHelixChat returns UseHelixChatResult: useChat's helpers plus resyncError: Error | null (the last re-anchor or re-attach error, such as a ReanchorExhaustedError once it stops re-attaching after a dropped request; cleared by the next success, including a retry() that re-anchors or re-sends). With a transport, its stop aborts the transport connection (on ai < 6.0.281 chat.stop() alone cannot stop a resumed stream) and resolves once the chat is idle, and its sendMessage stops an open resume first. Pass the transport, not a pre-built Chat: only then can the hook keep replayed tool calls from running again.
Loading the snapshot with an error state
Read the snapshot on the server for the first render. When the read fails, render an explicit error state with a retry control, never an empty conversation. The retry can read it from the browser:
function SnapshotGate({
sessionId,
initial,
}: {
sessionId: string;
initial: FrontendSnapshot<MyState> | null;
}) {
const [snapshot, setSnapshot] = useState(initial);
const [error, setError] = useState<string | null>(initial ? null : 'Snapshot unavailable');
if (snapshot) return <ChatView sessionId={sessionId} snapshot={snapshot} />;
const retry = async () => {
try {
// 4 fetches, 250 / 500 / 1000 ms backoff on a 5xx / 429 / network failure.
// null means the session does not exist yet.
const fresh = await fetchSnapshotWithRetry<MyState>(`/api/chat/${sessionId}/snapshot`);
setSnapshot(fresh ?? emptySnapshot(sessionId));
} catch (err) {
setError(
err instanceof SnapshotUnavailableError ? `${err.code}: ${err.message}` : String(err)
);
}
};
return (
<div role="alert">
This conversation could not be loaded ({error}). <button onClick={retry}>Retry</button>
</div>
);
}examples/resumable-streams-nextjs has a complete SnapshotGate and ChatErrorBanner.
Resync and stream control
resync: { snapshotUrl, snapshot?, snapshotFetch?, onResync?, onError? }re-anchors ondata-stream-resync,data-attempt-supersededanddata-tool-output-elsewhere.onResyncreceives anAISDKResyncTriggerEvent.useAutoResync(collectResyncTriggers(chat.messages), { snapshotUrl, setMessages: chat.setMessages, chat })is the same thing as a separate hook. Without stream control (chat, bothstopandresume, or thechatIdof a mounteduseHelixChat) it surfaces a typedConfigurationErrorinstead of re-anchoring.- With a plain
useChat, wrap the transport withwithHelixStreamControl(transport)and stop a chat withtransport.abortActive(chat.id)beforechat.stop(); build the resync control withchatResyncControl(chat, transport). Such a chat must seed the whole snapshot:snapshotResumeOptions(snapshot, { replayPrefix: false }), and its predicate takes that seed ashistory(useHelixSendAutomaticallyWhen(id, { history: seed })) so the seed's answered client tools are never sent again (CP-107).
The exports and where they live are listed in Client helpers.
Basic Chat Component
import { useChat } from 'ai/react';
function ChatComponent() {
const { messages, input, handleInputChange, handleSubmit, isLoading, error } = useChat({
api: '/api/chat',
});
return (
<div className="chat-container">
{/* Message List */}
<div className="messages">
{messages.map((message) => (
<div key={message.id} className={`message ${message.role}`}>
<MessageContent message={message} />
</div>
))}
</div>
{/* Error Display */}
{error && <div className="error">Error: {error.message}</div>}
{/* Input Form */}
<form onSubmit={handleSubmit} className="input-form">
<input
value={input}
onChange={handleInputChange}
placeholder="Type a message..."
disabled={isLoading}
/>
<button type="submit" disabled={isLoading}>
{isLoading ? 'Sending...' : 'Send'}
</button>
</form>
</div>
);
}Rendering Message Parts (AI SDK v6)
In AI SDK v6, messages use parts as the source of truth:
function MessageContent({ message }: { message: UIMessage }) {
return (
<div className="message-content">
{message.parts.map((part, index) => (
<MessagePart key={index} part={part} />
))}
</div>
);
}
function MessagePart({ part }: { part: UIMessagePart }) {
// Text content
if (part.type === 'text') {
return <p className="text-part">{part.text}</p>;
}
// Reasoning/thinking content
if (part.type === 'reasoning') {
return (
<div className="reasoning-part">
<span className="label">Thinking:</span>
<p>{part.text}</p>
</div>
);
}
// Tool invocation (type is `tool-${toolName}`)
if (part.type.startsWith('tool-')) {
return <ToolInvocation part={part} />;
}
return null;
}Using Type Guards
For type-safe filtering and checks, use the provided type guards:
import {
isAISDKToolPart,
hasAISDKPendingTools,
hasAISDKErroredTools,
getAISDKToolParts,
} from '@helix-agents/ai-sdk';
function MessagePart({ part }: { part: UIMessagePart }) {
// Use type guards for safe discrimination
if (isAISDKToolPart(part)) {
return <ToolInvocation part={part} />;
}
// ...
}
function Message({ message }: { message: UIMessage }) {
// Check for loading state
const isLoading = hasAISDKPendingTools(message);
// Check for errors
const hasErrors = hasAISDKErroredTools(message);
// Get all tool parts
const tools = getAISDKToolParts(message);
return (
<div className={`message ${hasErrors ? 'error' : ''}`}>
{message.parts.map((part, i) => (
<MessagePart key={i} part={part} />
))}
{isLoading && <LoadingSpinner />}
</div>
);
}Displaying Tool Invocations
function ToolInvocation({ part }: { part: UIMessageToolInvocationPart }) {
// Extract tool name from type (e.g., 'tool-search' → 'search')
const toolName = part.type.replace('tool-', '');
return (
<div className={`tool-invocation ${part.state}`}>
<div className="tool-header">
<ToolIcon name={toolName} />
<span className="tool-name">{toolName}</span>
<ToolStatus state={part.state} />
</div>
{/* Show input */}
<div className="tool-input">
<span className="label">Input:</span>
<pre>{JSON.stringify(part.input, null, 2)}</pre>
</div>
{/* Show output when available */}
{part.state === 'output-available' && part.output && (
<div className="tool-output">
<span className="label">Output:</span>
<pre>{JSON.stringify(part.output, null, 2)}</pre>
</div>
)}
{/* Show error if failed */}
{part.state === 'output-error' && part.errorText && (
<div className="tool-error">
<span className="label">Error:</span>
<span>{part.errorText}</span>
</div>
)}
</div>
);
}
function ToolStatus({ state }: { state: ToolInvocationState }) {
switch (state) {
case 'input-streaming':
return <span className="status streaming">Streaming...</span>;
case 'input-available':
return <span className="status pending">Running...</span>;
case 'output-available':
return <span className="status success">Completed</span>;
case 'output-error':
return <span className="status error">Failed</span>;
}
}Streaming Indicators
Show streaming state during generation:
function ChatComponent() {
const { messages, isLoading, status } = useChat({
api: '/api/chat',
});
return (
<div>
{messages.map((message) => (
<Message key={message.id} message={message} />
))}
{/* Streaming indicator */}
{isLoading && (
<div className="streaming-indicator">
<LoadingDots />
<span>Agent is thinking...</span>
</div>
)}
</div>
);
}Loading Existing Conversations
Restore conversation state with initialMessages:
function ChatPage({ sessionId }: { sessionId: string }) {
const [initialMessages, setInitialMessages] = useState<UIMessage[]>([]);
const [loading, setLoading] = useState(true);
// Load messages on mount
useEffect(() => {
async function loadMessages() {
const res = await fetch(`/api/messages/${sessionId}`);
const { messages } = await res.json();
setInitialMessages(messages);
setLoading(false);
}
loadMessages();
}, [sessionId]);
const { messages, input, handleInputChange, handleSubmit } = useChat({
api: '/api/chat',
initialMessages,
});
if (loading) {
return <LoadingSpinner />;
}
return (
<div>
{messages.map((msg) => (
<Message key={msg.id} message={msg} />
))}
{/* ... input form ... */}
</div>
);
}Using Store Utilities
For direct access to stored messages, use the store utilities:
import { loadAllUIMessages } from '@helix-agents/ai-sdk';
function ChatPage({ sessionId }: { sessionId: string }) {
const [initialMessages, setInitialMessages] = useState<UIMessage[]>([]);
const [loading, setLoading] = useState(true);
useEffect(() => {
// Load directly from state store
loadAllUIMessages(stateStore, sessionId).then((messages) => {
setInitialMessages(messages);
setLoading(false);
});
}, [sessionId]);
const { messages } = useChat({
api: '/api/chat',
initialMessages,
});
if (loading) return <LoadingSpinner />;
return (
<div>
{messages.map((msg) => (
<Message key={msg.id} message={msg} />
))}
</div>
);
}Multi-Turn Conversations
Enable conversation continuation where each message builds on the previous exchange:
function MultiTurnChat() {
// Use a stable sessionId for conversation continuity
const [sessionId] = useState<string>(() => crypto.randomUUID());
const { messages, input, handleInputChange, handleSubmit, isLoading } = useChat({
api: '/api/chat',
// Pass sessionId for all messages in the conversation
body: { sessionId },
});
// Start a new conversation with a new sessionId
const startNewConversation = () => {
window.location.reload(); // Or manage sessionId state to generate a new one
};
return (
<div>
<button onClick={startNewConversation}>New Conversation</button>
{messages.map((msg) => (
<Message key={msg.id} message={msg} />
))}
<form onSubmit={handleSubmit}>
<input
value={input}
onChange={handleInputChange}
placeholder="Type a message..."
disabled={isLoading}
/>
<button type="submit" disabled={isLoading}>
Send
</button>
</form>
</div>
);
}How It Works
- Generate a
sessionIdon component mount (or from your URL/state) - Pass
sessionIdin every request body - Backend automatically continues the conversation within the same session
- Each turn creates a new run within the session (for debugging, billing, tracing)
Request Body
// All messages include sessionId
{ message: 'Hello', sessionId: 'session-123' }
// Subsequent messages - same sessionId
{ message: 'Tell me more', sessionId: 'session-123' }
// Or with your own message history
{ message: 'Tell me more', messages: myStoredMessages }Using External Message History
When you manage your own conversation storage:
const { messages, handleSubmit } = useChat({
api: '/api/chat',
body: {
// Pass your stored messages from your own database
messages: myStoredMessages.map((m) => ({
role: m.role,
content: m.content,
})),
},
});Behavior Table
| Input | Messages Source | State Source |
|---|---|---|
message only (new session) | Empty (fresh) | Empty (fresh) |
message + sessionId (existing) | From session | From session |
message + messages | From messages | Empty (fresh) |
message + state | Empty (fresh) | From state |
message + sessionId + messages | From messages (override) | From session |
message + sessionId + state | From session | From state (override) |
| All four | From messages (override) | From state (override) |
Custom Data Events
Handle custom events from your agent:
function ChatComponent() {
const [customData, setCustomData] = useState<Record<string, unknown>>({});
const { messages } = useChat({
api: '/api/chat',
onResponse: async (response) => {
// Handle custom data events
const reader = response.body?.getReader();
// Process SSE stream for data-* events
},
});
// Or use experimental data streaming
const { data } = useChat({
api: '/api/chat',
});
useEffect(() => {
if (data) {
// Process data events
for (const item of data) {
if (item.type === 'data-output') {
setCustomData(item.data);
}
}
}
}, [data]);
return (
<div>
{messages.map((msg) => (
<Message key={msg.id} message={msg} />
))}
{/* Display final output */}
{customData.output && <OutputDisplay output={customData.output} />}
</div>
);
}Error Handling
Handle errors gracefully:
function ChatComponent() {
const { messages, error, reload, stop } = useChat({
api: '/api/chat',
onError: (error) => {
console.error('Chat error:', error);
// Show toast notification, etc.
},
});
return (
<div>
{messages.map((msg) => (
<Message key={msg.id} message={msg} />
))}
{error && (
<div className="error-banner">
<p>Something went wrong: {error.message}</p>
<div className="error-actions">
<button onClick={() => reload()}>Retry</button>
<button onClick={() => stop()}>Stop</button>
</div>
</div>
)}
</div>
);
}Typed Stream Errors
When errors arrive via the stream, use HelixStreamError for typed error handling:
import { HelixStreamError } from '@helix-agents/ai-sdk';
function ChatComponent() {
const { messages, error } = useChat({
api: '/api/chat',
onError: (error) => {
// Check if this is a typed stream error
if (error instanceof HelixStreamError) {
if (error.retryable) {
// Show retry UI
console.log(`Retryable error (${error.code}): ${error.message}`);
} else {
// Show permanent error
console.log(`Fatal error (${error.code}): ${error.message}`);
}
}
},
});
// Render error with retry option
if (error instanceof HelixStreamError && error.retryable) {
return (
<div className="error-banner">
<p>Temporary error: {error.message}</p>
<button onClick={reload}>Retry</button>
</div>
);
}
}Thinking/Reasoning Display
Show Claude's thinking or OpenAI's reasoning:
function ReasoningDisplay({ text }: { text: string }) {
const [isExpanded, setIsExpanded] = useState(false);
return (
<div className="reasoning-block">
<button className="reasoning-toggle" onClick={() => setIsExpanded(!isExpanded)}>
<ThinkingIcon />
<span>View reasoning</span>
<ChevronIcon direction={isExpanded ? 'up' : 'down'} />
</button>
{isExpanded && (
<div className="reasoning-content">
<pre>{text}</pre>
</div>
)}
</div>
);
}
function MessagePart({ part }: { part: UIMessagePart }) {
if (part.type === 'reasoning') {
return <ReasoningDisplay text={part.text} />;
}
// ... other parts
}Sub-Agent Display
Handle sub-agent events:
function SubAgentDisplay({
type,
sessionId,
status,
}: {
type: string;
sessionId: string;
status: 'running' | 'completed' | 'failed';
}) {
return (
<div className={`subagent ${status}`}>
<div className="subagent-header">
<AgentIcon type={type} />
<span className="subagent-type">{type}</span>
<span className="subagent-status">
{status === 'running' ? (
<Spinner />
) : status === 'completed' ? (
<CheckIcon />
) : (
<ErrorIcon />
)}
</span>
</div>
<span className="subagent-id">Session: {sessionId}</span>
</div>
);
}Complete Example
import { useChat } from 'ai/react';
import type { UIMessage, UIMessagePart } from '@helix-agents/ai-sdk';
function Chat() {
const { messages, input, handleInputChange, handleSubmit, isLoading, error, reload, stop } =
useChat({
api: '/api/chat',
});
return (
<div className="chat">
{/* Messages */}
<div className="messages">
{messages.map((message) => (
<div key={message.id} className={`message ${message.role}`}>
<Avatar role={message.role} />
<div className="message-body">
{message.parts.map((part, i) => (
<MessagePart key={i} part={part} />
))}
</div>
</div>
))}
{/* Streaming indicator */}
{isLoading && <StreamingIndicator />}
</div>
{/* Error */}
{error && <ErrorBanner error={error} onRetry={reload} onStop={stop} />}
{/* Input */}
<form onSubmit={handleSubmit} className="input-form">
<textarea
value={input}
onChange={handleInputChange}
placeholder="Message the agent..."
disabled={isLoading}
rows={1}
/>
<button type="submit" disabled={isLoading || !input.trim()}>
<SendIcon />
</button>
</form>
</div>
);
}
function MessagePart({ part }: { part: UIMessagePart }) {
if (part.type === 'text') {
return <TextPart text={part.text} />;
}
if (part.type === 'reasoning') {
return <ReasoningPart text={part.text} />;
}
if (part.type.startsWith('tool-')) {
return <ToolPart part={part} />;
}
return null;
}
function TextPart({ text }: { text: string }) {
// Use markdown rendering if needed
return <div className="text-part">{text}</div>;
}
function ReasoningPart({ text }: { text: string }) {
const [expanded, setExpanded] = useState(false);
return (
<div className="reasoning-part">
<button onClick={() => setExpanded(!expanded)}>{expanded ? 'Hide' : 'Show'} thinking</button>
{expanded && <pre>{text}</pre>}
</div>
);
}
function ToolPart({ part }: { part: UIMessageToolInvocationPart }) {
const toolName = part.type.replace('tool-', '');
return (
<div className={`tool-part ${part.state}`}>
<div className="tool-header">
<strong>{toolName}</strong>
<StatusBadge state={part.state} />
</div>
<details>
<summary>Input</summary>
<pre>{JSON.stringify(part.input, null, 2)}</pre>
</details>
{part.state === 'output-available' && (
<details open>
<summary>Output</summary>
<pre>{JSON.stringify(part.output, null, 2)}</pre>
</details>
)}
{part.state === 'output-error' && <div className="error">{part.errorText}</div>}
</div>
);
}
export default Chat;Styling Tips
/* Basic chat styling */
.chat {
display: flex;
flex-direction: column;
height: 100vh;
}
.messages {
flex: 1;
overflow-y: auto;
padding: 1rem;
}
.message {
display: flex;
gap: 0.75rem;
margin-bottom: 1rem;
}
.message.user {
flex-direction: row-reverse;
}
.message.assistant .message-body {
background: #f3f4f6;
border-radius: 1rem;
padding: 0.75rem 1rem;
}
/* Tool invocation styling */
.tool-part {
border: 1px solid #e5e7eb;
border-radius: 0.5rem;
padding: 0.75rem;
margin: 0.5rem 0;
}
.tool-part.input-available {
border-color: #fbbf24;
background: #fffbeb;
}
.tool-part.output-available {
border-color: #22c55e;
background: #f0fdf4;
}
.tool-part.output-error {
border-color: #ef4444;
background: #fef2f2;
}
/* Input form */
.input-form {
display: flex;
gap: 0.5rem;
padding: 1rem;
border-top: 1px solid #e5e7eb;
}
.input-form textarea {
flex: 1;
resize: none;
border: 1px solid #e5e7eb;
border-radius: 0.5rem;
padding: 0.75rem;
}Next Steps
- Framework Examples - Backend setup with Express, Hono
- AI SDK Package - Deep dive into the package
- Streaming Guide - Understanding stream chunks