diff --git a/CopilotKit/examples/next-openai/.env.local.example b/CopilotKit/examples/next-openai/.env.local.example index a180c759680..7a8b7b7a23a 100644 --- a/CopilotKit/examples/next-openai/.env.local.example +++ b/CopilotKit/examples/next-openai/.env.local.example @@ -1 +1 @@ -OPENAI_API_KEY=xxxxxxx +OPENAI_API_KEY=sk-proj... diff --git a/CopilotKit/packages/react-core/src/components/copilot-provider/copilot-messages.tsx b/CopilotKit/packages/react-core/src/components/copilot-provider/copilot-messages.tsx index 76ca164ab3e..6edcf15b9f3 100644 --- a/CopilotKit/packages/react-core/src/components/copilot-provider/copilot-messages.tsx +++ b/CopilotKit/packages/react-core/src/components/copilot-provider/copilot-messages.tsx @@ -117,10 +117,28 @@ export function MessagesTapProvider({ children }: { children: React.ReactNode }) */ export function CopilotMessages({ children }: { children: ReactNode }) { - const [messages, setMessages] = useState([]); + const [messages, setMessagesRaw] = useState([]); const lastLoadedThreadId = useRef(); const lastLoadedAgentName = useRef(); const lastLoadedMessages = useRef(); + + // Wrapper to log all setMessages calls + const setMessages = useCallback((newMessages: Message[] | ((prev: Message[]) => Message[])) => { + if (typeof newMessages === 'function') { + setMessagesRaw((prev) => { + const updated = newMessages(prev); + console.log(`📝 [MESSAGES UPDATE] Function update: ${prev.length} -> ${updated.length} messages`); + return updated; + }); + } else { + console.log(`📝 [MESSAGES SET] Direct set: ${newMessages.length} messages`); + const stack = new Error().stack; + if (stack?.includes('fetchMessages')) { + console.log(` ⚠️ Called from fetchMessages - this resets conversation!`); + } + setMessagesRaw(newMessages); + } + }, []); const { updateTapMessages } = useMessagesTap(); @@ -262,6 +280,11 @@ export function CopilotMessages({ children }: { children: ReactNode }) { return; } + console.log("⚠️ [MESSAGES CONTEXT] Loading agent state - this might reset messages!"); + console.log(` ThreadId: ${threadId} (was: ${lastLoadedThreadId.current})`); + console.log(` Agent: ${agentSession?.agentName} (was: ${lastLoadedAgentName.current})`); + console.log(` Current messages count: ${messages.length}`); + const fetchMessages = async () => { if (!agentSession?.agentName) return; @@ -287,8 +310,9 @@ export function CopilotMessages({ children }: { children: ReactNode }) { lastLoadedThreadId.current = threadId; lastLoadedAgentName.current = agentSession?.agentName; - const messages = loadMessagesFromJsonRepresentation(JSON.parse(newMessages || "[]")); - setMessages(messages); + const loadedMessages = loadMessagesFromJsonRepresentation(JSON.parse(newMessages || "[]")); + console.log(`🔄 [MESSAGES RESET] Replacing ${messages.length} messages with ${loadedMessages.length} from agent state`); + setMessages(loadedMessages); } }; void fetchMessages(); diff --git a/CopilotKit/packages/react-core/src/hooks/index.ts b/CopilotKit/packages/react-core/src/hooks/index.ts index 724eed2629c..d70e83a6042 100644 --- a/CopilotKit/packages/react-core/src/hooks/index.ts +++ b/CopilotKit/packages/react-core/src/hooks/index.ts @@ -19,3 +19,7 @@ export { useLangGraphInterrupt } from "./use-langgraph-interrupt"; export { useLangGraphInterruptRender } from "./use-langgraph-interrupt-render"; export { useCopilotAdditionalInstructions } from "./use-copilot-additional-instructions"; export type { Tree, TreeNode } from "./use-tree"; +export { useRealtimeChat } from "./use-realtime-chat"; +export type { RealtimeConfig, RealtimeToolDefinition, UseRealtimeChatReturn } from "./use-realtime-chat"; +export { useRealtimeActionHandler } from "./use-realtime-action-handler"; +export type { UseRealtimeActionHandlerReturn } from "./use-realtime-action-handler"; diff --git a/CopilotKit/packages/react-core/src/hooks/use-chat.ts b/CopilotKit/packages/react-core/src/hooks/use-chat.ts index 624b5cf4d9f..7a576a38b47 100644 --- a/CopilotKit/packages/react-core/src/hooks/use-chat.ts +++ b/CopilotKit/packages/react-core/src/hooks/use-chat.ts @@ -934,7 +934,10 @@ export function useChat(options: UseChatOptions): UseChatHelpers { const append = useAsyncCallback( async (message: Message, options?: AppendMessageOptions): Promise => { - const followUp = options?.followUp ?? true; + // Check if this specific message should skip inference + const skipInference = (message as any).metadata?.skipInference; + const followUp = skipInference ? false : (options?.followUp ?? true); + if (isLoading) { pendingAppendsRef.current.push({ message, followUp }); return; diff --git a/CopilotKit/packages/react-core/src/hooks/use-realtime-action-handler.ts b/CopilotKit/packages/react-core/src/hooks/use-realtime-action-handler.ts new file mode 100644 index 00000000000..c59aaba5441 --- /dev/null +++ b/CopilotKit/packages/react-core/src/hooks/use-realtime-action-handler.ts @@ -0,0 +1,102 @@ +/** + * Realtime Action Handler for CopilotKit + * + * This hook provides integration between voice/realtime commands and CopilotKit actions, + * using the unified ActionExecutionMessage with metadata for voice context. + */ + +import { useCallback } from "react"; +import { useCopilotContext, useCopilotMessagesContext } from "../context"; +import { FrontendAction } from "../types/frontend-action"; +import { ActionExecutionMessage } from "@copilotkit/runtime-client-gql"; + +export interface UseRealtimeActionHandlerReturn { + /** + * Execute an action with source context (voice/text/api) + */ + executeAction: (actionName: string, args: Record, source?: 'voice' | 'text' | 'api') => Promise; + + /** + * Get all available actions + */ + getAvailableActions: () => FrontendAction[]; + + /** + * Backward compatibility for voice actions + */ + executeVoiceAction?: (actionName: string, args: Record) => Promise; +} + +export function useRealtimeActionHandler(): UseRealtimeActionHandlerReturn { + const { actions } = useCopilotContext(); + const { messages, setMessages } = useCopilotMessagesContext(); + + const executeAction = useCallback(async ( + actionName: string, + args: Record, + source: 'voice' | 'text' | 'api' = 'text' + ) => { + + // Find the specific action + const action = Object.values(actions).find((a: any) => a.name === actionName); + + if (!action) { + console.warn(`[RealtimeActionHandler] Action not found: ${actionName}`); + throw new Error(`Action not found: ${actionName}`); + } + + + // Extract metadata if present + const { __metadata, ...cleanArgs } = args; + const callId = __metadata?.callId; + + // Create ActionExecutionMessage with metadata for source + const actionMessage = new ActionExecutionMessage({ + id: callId || `${source}-action-${Date.now()}`, + name: actionName, + arguments: cleanArgs, + parentMessageId: messages.length > 0 ? messages[messages.length - 1].id : null, + metadata: { + source, + skipInference: source === 'voice', // Voice actions skip inference by default + ...(source === 'voice' && { voiceData: { timestamp: Date.now() } }) + } + } as any); + + // Add the action message to trigger rendering + // Use function form to ensure we get the latest messages + if (source === 'voice') { + // For voice actions, add a longer delay to ensure transcript arrives first + // This is more reliable than complex reordering which breaks message types + setTimeout(() => { + setMessages((prevMessages) => [...prevMessages, actionMessage]); + }, 500); // 500ms should handle most transcript delays + } else { + setMessages((prevMessages) => [...prevMessages, actionMessage]); + } + + // Execute the action handler if it exists + if (action.handler) { + try { + const result = await action.handler(cleanArgs); + return result; + } catch (error) { + console.error(`[RealtimeActionHandler] Action handler failed:`, error); + throw error; + } + } + + return { success: true }; + }, [actions, messages, setMessages]); + + const getAvailableActions = useCallback(() => { + return Object.values(actions) as FrontendAction[]; + }, [actions]); + + return { + executeAction, + getAvailableActions, + // Backwards compatibility aliases + executeVoiceAction: (name: string, args: Record) => executeAction(name, args, 'voice'), + }; +} \ No newline at end of file diff --git a/CopilotKit/packages/react-core/src/hooks/use-realtime-chat.ts b/CopilotKit/packages/react-core/src/hooks/use-realtime-chat.ts new file mode 100644 index 00000000000..5e42d20624f --- /dev/null +++ b/CopilotKit/packages/react-core/src/hooks/use-realtime-chat.ts @@ -0,0 +1,610 @@ +/** + * useRealtimeChat - OpenAI Realtime WebRTC Integration for CopilotKit + * + * This hook provides seamless integration between OpenAI's Realtime API (WebRTC) + * and CopilotKit's chat interface, enabling: + * - Real-time voice conversations with ultra-low latency + * - Automatic speech recognition and transcription + * - Voice synthesis for assistant responses + * - Full integration with CopilotKit's action system + */ + +import { useCallback, useEffect, useRef, useState } from "react"; +import { useCopilotChat } from "./use-copilot-chat_internal"; +import { useRealtimeActionHandler } from "./use-realtime-action-handler"; +import type { Message } from "@copilotkit/shared"; + +export interface RealtimeConfig { + /** Endpoint to fetch ephemeral token for OpenAI Realtime */ + tokenEndpoint: string; + /** OpenAI Realtime model (default: gpt-realtime) */ + model?: string; + /** Voice for assistant (default: alloy) */ + voice?: "alloy" | "echo" | "fable" | "onyx" | "nova" | "shimmer"; + /** Turn detection configuration */ + turnDetection?: { + type: "server_vad"; + threshold?: number; + prefix_padding_ms?: number; + silence_duration_ms?: number; + }; + /** Callback when a tool is invoked by OpenAI Realtime */ + onToolCall?: (toolName: string, args: any) => Promise; + /** Enable debug logging */ + debug?: boolean; +} + +export interface RealtimeToolDefinition { + name: string; + description: string; + parameters: { + type: "object"; + properties: Record; + required?: string[]; + }; +} + +export interface UseRealtimeChatReturn { + /** Connect to OpenAI Realtime */ + connect: () => Promise; + /** Disconnect from OpenAI Realtime */ + disconnect: () => void; + /** Connection status */ + status: "idle" | "connecting" | "connected" | "error"; + /** Error message if connection failed */ + error?: string; + /** Whether microphone is currently active */ + isMicActive: boolean; + /** Toggle microphone on/off */ + toggleMic: () => void; + /** Current audio level (0-1) for visualization */ + audioLevel: number; + /** Register tools/functions for the realtime session */ + registerTools: (tools: RealtimeToolDefinition[]) => void; +} + +export function useRealtimeChat(config: RealtimeConfig): UseRealtimeChatReturn { + // Hook is initialized - confirmed using local fork + + const chatResult = useCopilotChat(); + const sendCopilotMessage = chatResult?.sendMessage; + + // Debug logging to understand the issue + // console.log("[RealtimeChat] Hook initialization:", { + // chatResultDefined: !!chatResult, + // sendMessageDefined: !!sendCopilotMessage, + // chatResultKeys: chatResult ? Object.keys(chatResult) : [], + // }); + + const { executeAction } = useRealtimeActionHandler(); + + // WebRTC references + const pcRef = useRef(null); + const dcRef = useRef(null); + const audioElRef = useRef(null); + const streamRef = useRef(null); + + // State + const [status, setStatus] = useState<"idle" | "connecting" | "connected" | "error">("idle"); + const [error, setError] = useState(); + const [isMicActive, setIsMicActive] = useState(true); + const [audioLevel, setAudioLevel] = useState(0); + + // Track processed items to avoid duplicates + const processedItemIds = useRef>(new Set()); + const registeredTools = useRef([]); + // Track message contents to prevent duplicates with different IDs + const sentMessages = useRef>(new Map()); // role:content -> itemId + // Track order of created items to fix race conditions + const messageCreationOrder = useRef([]); + // Track user items waiting for transcripts + const pendingUserTranscripts = useRef>(new Set()); + // Buffer assistant responses until user transcript arrives + const pendingAssistantMessages = useRef([]); + + // Audio level monitoring + useEffect(() => { + if (!streamRef.current || !isMicActive) { + setAudioLevel(0); + return; + } + + const audioContext = new AudioContext(); + const analyser = audioContext.createAnalyser(); + const microphone = audioContext.createMediaStreamSource(streamRef.current); + const dataArray = new Uint8Array(analyser.frequencyBinCount); + + microphone.connect(analyser); + + const updateLevel = () => { + analyser.getByteFrequencyData(dataArray); + const average = dataArray.reduce((a, b) => a + b) / dataArray.length; + setAudioLevel(average / 255); + if (isMicActive) { + requestAnimationFrame(updateLevel); + } + }; + + updateLevel(); + + return () => { + microphone.disconnect(); + audioContext.close(); + }; + }, [streamRef.current, isMicActive]); + + // Handle realtime events + const handleRealtimeEvent = useCallback(async (event: any) => { + const { type } = event; + const timestamp = new Date().toLocaleTimeString(); + + // CRITICAL: Log message flow to debug history resetting + if (type === "conversation.item.created" || + type === "conversation.item.input_audio_transcription.completed" || + type === "response.audio_transcript.done") { + const itemId = event.item_id || event.item?.id; + const role = event.item?.role || (type.includes("response") ? "assistant" : "user"); + } + + switch (type) { + // Skip conversation.updated for now to avoid duplicates + case "conversation.updated": { + // We're relying on specific events instead + break; + } + + case "conversation.item.created": { + const item = event.item; + // Minimal logging for clarity + + // Track creation order for all items + if (item?.id && !messageCreationOrder.current.includes(item.id)) { + messageCreationOrder.current.push(item.id); + } + + // Handle different item types + if (item && !processedItemIds.current.has(item.id)) { + processedItemIds.current.add(item.id); + + let role: "user" | "assistant" = "assistant"; + let content = ""; + + // Handle message items (user or assistant messages) + if (item.type === "message") { + role = item.role === "user" ? "user" : "assistant"; + + if (item.content && Array.isArray(item.content)) { + // Extract text content - simplified + content = item.content + .filter((c: any) => c?.type === "text" || c?.type === "input_text" || c?.transcript) + .map((c: any) => c.text || c.transcript || "") + .join("") + .trim(); + } + + // Skip user messages without content - wait for transcription event + if (role === "user" && !content) { + processedItemIds.current.delete(item.id); + // Mark this user item as pending transcript + pendingUserTranscripts.current.add(item.id); + break; + } + } + + // Skip function calls - handled elsewhere + if (item.type === "function_call" || item.type === "function_call_output") { + break; + } + + // Send message to CopilotKit if we have content + if (content && sendCopilotMessage) { + sendCopilotMessage({ + id: item.id, + role, + content, + } as Message); + } + } + break; + } + + case "conversation.item.input_audio_transcription.completed": { + const transcript = event.transcript?.trim(); + const itemId = event.item_id; + + if (transcript && itemId) { + const transcriptKey = `${itemId}_user_transcript`; + if (!processedItemIds.current.has(transcriptKey)) { + processedItemIds.current.add(transcriptKey); + + if (sendCopilotMessage) { + // Check for duplicate content + const messageKey = `user:${transcript}`; + const existingId = sentMessages.current.get(messageKey); + + if (!(existingId && existingId !== itemId)) { + sentMessages.current.set(messageKey, itemId); + // Send as regular message with voice metadata + // IMPORTANT: skipInference must be TRUE because OpenAI Realtime handles the response + const userMessage: Message = { + id: itemId, + role: "user", + content: transcript, + metadata: { + source: 'voice', + voiceData: { + timestamp: Date.now(), + transcript: transcript + }, + skipInference: true, // CRITICAL: OpenAI Realtime handles inference, not CopilotKit + // Use creation order to help with message ordering + creationIndex: messageCreationOrder.current.indexOf(itemId) + } + } as Message; + try { + // Always use sendCopilotMessage to ensure proper message format + // The reordering approach was breaking message type compatibility + const wasPending = pendingUserTranscripts.current.has(itemId); + if (wasPending) { + pendingUserTranscripts.current.delete(itemId); + } + + // Always append through the proper API + sendCopilotMessage(userMessage, { followUp: false }); + + // Now flush any pending assistant messages that were waiting for this user transcript + if (pendingAssistantMessages.current.length > 0) { + // Capture the messages to flush before clearing + const messagesToFlush = [...pendingAssistantMessages.current]; + pendingAssistantMessages.current = []; + + // Use setTimeout to ensure the user message state update completes first + setTimeout(() => { + for (const assistantMsg of messagesToFlush) { + sendCopilotMessage(assistantMsg, { followUp: false }); + } + }, 100); + } + } catch (error) { + console.error("[RealtimeChat] Error sending user message:", error); + } + } + } + } + } + break; + } + + case "response.audio_transcript.done": { + const transcript = event.transcript?.trim(); + const itemId = event.item_id; + + if (transcript && itemId && !processedItemIds.current.has(`${itemId}_transcript`)) { + processedItemIds.current.add(`${itemId}_transcript`); + + if (sendCopilotMessage) { + // Send as regular message with voice metadata + const assistantMessage: Message = { + id: itemId, + role: "assistant", + content: transcript, + metadata: { + source: 'voice', + voiceData: { + timestamp: Date.now(), + transcript: transcript + }, + skipInference: true // Assistant responses don't trigger inference + } + } as Message; + + // Check if we're waiting for any user transcripts + if (pendingUserTranscripts.current.size > 0) { + pendingAssistantMessages.current.push(assistantMessage); + } else { + try { + // Pass followUp: false since OpenAI Realtime already handled the response + sendCopilotMessage(assistantMessage, { followUp: false }); + } catch (error) { + console.error("[RealtimeChat] Error sending message:", error); + } + } + } else { + console.warn("[RealtimeChat] sendCopilotMessage is undefined - cannot send assistant transcript to UI"); + } + } + break; + } + + case "response.function_call_arguments.done": { + // Handle tool calls + const toolName = event.name; + const callId = event.call_id; + const args = event.arguments ? JSON.parse(event.arguments) : {}; + + // Track the tool response in creation order + if (callId && !messageCreationOrder.current.includes(callId)) { + messageCreationOrder.current.push(callId); + } + + if (config.debug) { + } + + // Handle voice-triggered actions with GenerativeUI support + const handleVoiceAction = async () => { + try { + let result = null; + + // Try to execute through CopilotKit's action system first + // This will handle GenerativeUI rendering automatically + try { + // Pass metadata with the callId for tracking + const argsWithMetadata = { ...args, __metadata: { callId } }; + result = await executeAction(toolName, argsWithMetadata, 'voice'); + } catch (actionError) { + // Action might not exist in CopilotKit, try custom handler + // Fallback to custom onToolCall if provided + if (config.onToolCall) { + result = await config.onToolCall(toolName, args); + } else { + throw actionError; + } + } + + // Send result back to OpenAI Realtime + if (dcRef.current && dcRef.current.readyState === "open") { + const outputEvent = { + type: "conversation.item.create", + item: { + type: "function_call_output", + call_id: callId, + output: JSON.stringify(result || { success: true }) + } + }; + dcRef.current.send(JSON.stringify(outputEvent)); + + if (config.debug) { + } + } + } catch (error) { + console.error("[RealtimeChat] Tool execution error:", error); + // Send error back to OpenAI Realtime + if (dcRef.current && dcRef.current.readyState === "open") { + const errorEvent = { + type: "conversation.item.create", + item: { + type: "function_call_output", + call_id: callId, + output: JSON.stringify({ error: (error as Error).message || "Tool execution failed" }) + } + }; + dcRef.current.send(JSON.stringify(errorEvent)); + } + } + }; + + handleVoiceAction(); + break; + } + + case "error": { + console.error("[RealtimeChat] Error event:", JSON.stringify(event)); + // Handle different error formats + let errorMsg = "Unknown error"; + if (event.error) { + errorMsg = typeof event.error === 'string' + ? event.error + : event.error.message || event.error.type || JSON.stringify(event.error); + } else if (event.message) { + errorMsg = event.message; + } else if (event.code) { + errorMsg = `Error code: ${event.code}`; + } + console.error("[RealtimeChat] Error details:", errorMsg); + setError(errorMsg); + break; + } + + case "session.error": + case "response.error": { + console.error(`[RealtimeChat] ${type}:`, event); + if (event.error) { + setError(event.error.message || event.error.type || "Session error"); + } + break; + } + + // Silently ignore streaming delta events - we handle the complete versions + case "response.function_call_arguments.delta": + case "response.audio_transcript.delta": + case "response.text.delta": + case "response.audio.delta": + case "input_audio_buffer.speech_started": + case "input_audio_buffer.speech_stopped": + case "input_audio_buffer.committed": + case "response.created": + case "response.done": + case "conversation.item.truncated": + case "rate_limits.updated": + // These are expected streaming/status events that we don't need to process + break; + + // Log other events in debug mode + default: { + if (config.debug) { + } + } + } + }, [sendCopilotMessage, config.debug, config.onToolCall, executeAction]); + + // Connect to OpenAI Realtime + const connect = useCallback(async () => { + if (status === "connecting" || status === "connected") return; + + setStatus("connecting"); + setError(undefined); + + try { + // Fetch ephemeral token + const tokenRes = await fetch(config.tokenEndpoint); + if (!tokenRes.ok) throw new Error("Failed to fetch token"); + const { value: ephemeralKey } = await tokenRes.json(); + + // Create peer connection + const pc = new RTCPeerConnection(); + pcRef.current = pc; + + // Set up remote audio + pc.ontrack = (e) => { + const audio = audioElRef.current || document.createElement("audio"); + audio.autoplay = true; + audio.srcObject = e.streams[0]; + audioElRef.current = audio; + }; + + // Create data channel + const dc = pc.createDataChannel("oai-events"); + dcRef.current = dc; + + dc.onopen = () => { + setStatus("connected"); + + // Send session configuration + // Enable input_audio_transcription to get user transcripts + const sessionConfig = { + type: "session.update", + session: { + modalities: ["text", "audio"], + voice: config.voice || "alloy", + instructions: "You are a helpful AI assistant for filing incident reports. When users provide incident details (name, email, incident type, severity, etc.), use the 'fillIncidentReportForm' tool to populate the form. Only use 'confirmIncidentReport' to show a summary AFTER filling the form. IMPORTANT: Always respond in English only.", + input_audio_transcription: { + model: "whisper-1", + language: "en" // Force English transcription + }, + turn_detection: config.turnDetection || { + type: "server_vad", + threshold: 0.5, + prefix_padding_ms: 300, + silence_duration_ms: 500, + }, + tools: registeredTools.current, + }, + }; + + dc.send(JSON.stringify(sessionConfig)); + }; + + dc.onmessage = (evt) => { + try { + const event = JSON.parse(evt.data); + handleRealtimeEvent(event); + } catch (e) { + console.error("[RealtimeChat] Failed to parse event:", e); + } + }; + + dc.onerror = (e) => { + console.error("[RealtimeChat] Data channel error:", e); + setError("Data channel error"); + setStatus("error"); + }; + + // Get user media + const stream = await navigator.mediaDevices.getUserMedia({ audio: true }); + streamRef.current = stream; + stream.getTracks().forEach((track) => pc.addTrack(track, stream)); + + // Create offer + const offer = await pc.createOffer(); + await pc.setLocalDescription(offer); + + // Exchange SDP with OpenAI + const sdpRes = await fetch( + `https://api.openai.com/v1/realtime?model=${config.model || "gpt-4o-realtime-preview"}`, + { + method: "POST", + body: offer.sdp, + headers: { + Authorization: `Bearer ${ephemeralKey}`, + "Content-Type": "application/sdp", + }, + } + ); + + if (!sdpRes.ok) { + const errorText = await sdpRes.text(); + console.error("[RealtimeChat] SDP exchange error:", errorText); + throw new Error(`SDP exchange failed: ${errorText}`); + } + + const answerSdp = await sdpRes.text(); + await pc.setRemoteDescription({ type: "answer", sdp: answerSdp }); + + } catch (e) { + console.error("[RealtimeChat] Connection error:", e); + setError((e as Error).message); + setStatus("error"); + } + }, [status, config, handleRealtimeEvent]); + + // Disconnect + const disconnect = useCallback(() => { + dcRef.current?.close(); + streamRef.current?.getTracks().forEach((track) => track.stop()); + pcRef.current?.close(); + + dcRef.current = null; + pcRef.current = null; + streamRef.current = null; + + setStatus("idle"); + setIsMicActive(true); + processedItemIds.current.clear(); + sentMessages.current.clear(); + }, []); + + // Toggle microphone + const toggleMic = useCallback(() => { + if (streamRef.current) { + const audioTrack = streamRef.current.getAudioTracks()[0]; + if (audioTrack) { + audioTrack.enabled = !audioTrack.enabled; + setIsMicActive(audioTrack.enabled); + } + } + }, []); + + // Register tools + const registerTools = useCallback((tools: RealtimeToolDefinition[]) => { + registeredTools.current = tools; + + // If already connected, update session with new tools + if (status === "connected" && dcRef.current) { + const updateEvent = { + type: "session.update", + session: { + tools, + }, + }; + dcRef.current.send(JSON.stringify(updateEvent)); + } + }, [status]); + + // Cleanup on unmount + useEffect(() => { + return () => { + disconnect(); + }; + }, [disconnect]); + + return { + connect, + disconnect, + status, + error, + isMicActive, + toggleMic, + audioLevel, + registerTools, + }; +} \ No newline at end of file diff --git a/CopilotKit/packages/react-ui/src/components/chat/messages/RenderMessage.tsx b/CopilotKit/packages/react-ui/src/components/chat/messages/RenderMessage.tsx index 05a51a6e1b2..64cbf128c39 100644 --- a/CopilotKit/packages/react-ui/src/components/chat/messages/RenderMessage.tsx +++ b/CopilotKit/packages/react-ui/src/components/chat/messages/RenderMessage.tsx @@ -1,7 +1,9 @@ +import React from "react"; import { RenderMessageProps } from "../props"; import { UserMessage as DefaultUserMessage } from "./UserMessage"; import { AssistantMessage as DefaultAssistantMessage } from "./AssistantMessage"; import { ImageRenderer as DefaultImageRenderer } from "./ImageRenderer"; +import { useCopilotContext } from "@copilotkit/react-core"; export function RenderMessage({ UserMessage = DefaultUserMessage, @@ -21,6 +23,9 @@ export function RenderMessage({ markdownTagRenderers, } = props; + const { actions } = useCopilotContext(); + + // Handle regular message types switch (message.role) { case "user": return ( @@ -32,7 +37,42 @@ export function RenderMessage({ ImageRenderer={ImageRenderer} /> ); + case "assistant": + // Check if this is an action message + if ((message as any).type === "ActionExecutionMessage") { + const actionMessage = message as any; + const action = Object.values(actions).find((a: any) => a.name === actionMessage.name) as any; + + // If action has render function, use it + if (action?.render) { + const RenderedComponent = action.render({ + args: actionMessage.arguments, + status: actionMessage.realtimeStatus || 'pending', + inProgress + }); + + const actionElement = RenderedComponent || ( +
+
+ {actionMessage.name} + + {actionMessage.realtimeStatus || "pending"} + +
+ {Object.keys(actionMessage.arguments).length > 0 && ( +
+
{JSON.stringify(actionMessage.arguments, null, 2)}
+
+ )} +
+ ); + + return actionElement; + } + } + + // Regular assistant message return ( ); + + default: + return null; } } diff --git a/CopilotKit/packages/runtime-client-gql/src/client/types.ts b/CopilotKit/packages/runtime-client-gql/src/client/types.ts index 19dae5db549..addbd960339 100644 --- a/CopilotKit/packages/runtime-client-gql/src/client/types.ts +++ b/CopilotKit/packages/runtime-client-gql/src/client/types.ts @@ -27,6 +27,16 @@ export class Message { id: BaseMessageOutput["id"]; createdAt: BaseMessageOutput["createdAt"]; status: MessageStatus; + // Optional metadata for voice/realtime context + metadata?: { + source?: 'text' | 'voice' | 'api'; + voiceData?: { + confidence?: number; + timestamp?: number; + transcript?: string; + }; + skipInference?: boolean; // Per-message control over AI inference + }; constructor(props: any) { props.id ??= randomId(); @@ -72,6 +82,14 @@ export class TextMessage extends Message implements TextMessageConstructorOption constructor(props: TextMessageConstructorOptions) { super(props); this.type = "TextMessage"; + // Voice transcripts can be regular text messages with metadata + if ((props as any).audioData) { + this.metadata = { + ...this.metadata, + source: 'voice', + voiceData: (props as any).audioData + }; + } } } @@ -87,9 +105,16 @@ export class ActionExecutionMessage name: ActionExecutionMessageInput["name"]; arguments: Record; parentMessageId: ActionExecutionMessageInput["parentMessageId"]; + // Optional realtime-specific status tracking + realtimeStatus?: "pending" | "executing" | "completed" | "failed"; + constructor(props: ActionExecutionMessageConstructorOptions) { super(props); this.type = "ActionExecutionMessage"; + // Preserve any realtime-specific status if provided + if ('realtimeStatus' in props) { + this.realtimeStatus = (props as any).realtimeStatus; + } } } diff --git a/REALTIME-INTEGRATION-GUIDE.md b/REALTIME-INTEGRATION-GUIDE.md new file mode 100644 index 00000000000..2a0b32855e2 --- /dev/null +++ b/REALTIME-INTEGRATION-GUIDE.md @@ -0,0 +1,302 @@ +# CopilotKit OpenAI Realtime Voice Integration Guide + +## 🎯 Overview + +This guide documents the **complete integration** of OpenAI's Realtime API (WebRTC) with CopilotKit, enabling ultra-low latency voice conversations with full GenerativeUI support. This monumental feature allows developers to build voice-enabled AI applications with seamless integration into CopilotKit's existing action system. + +## 🏗️ Architecture Overview + +### Core Components + +1. **`useRealtimeChat` Hook** (`packages/react-core/src/hooks/use-realtime-chat.ts`) + - WebRTC connection management + - Message routing and deduplication + - Voice transcript handling + - Tool/Action execution bridge + +2. **`useRealtimeActionHandler` Hook** (`packages/react-core/src/hooks/use-realtime-action-handler.ts`) + - Unified action execution for voice/text/API sources + - GenerativeUI preservation + - Metadata tracking for source attribution + +3. **Message System Extensions** + - Extended `Message` types with metadata support + - `ActionExecutionMessage` with realtime status tracking + - Source attribution (`voice`, `text`, `api`) + +4. **UI Components** + - `RenderMessage.tsx` with voice/text indicators + - Visual source attribution for all messages + - GenerativeUI support for voice-triggered actions + +## 🔑 Key Integration Points + +### 1. Message Flow Architecture + +```typescript +// Critical: Prevent double inference +sendCopilotMessage(userMessage, { followUp: false }); + +// Message metadata structure +{ + id: itemId, + role: "user", + content: transcript, + metadata: { + source: 'voice', + voiceData: { + timestamp: Date.now(), + transcript: transcript + }, + skipInference: true, // CRITICAL: OpenAI Realtime handles inference + } +} +``` + +### 2. Action Execution Flow + +```typescript +// Voice actions flow through unified handler +executeAction(actionName, args, 'voice'); + +// ActionExecutionMessage with metadata +new ActionExecutionMessage({ + id: callId || `${source}-action-${Date.now()}`, + name: actionName, + arguments: cleanArgs, + metadata: { + source, + skipInference: source === 'voice', + ...(source === 'voice' && { voiceData: { timestamp: Date.now() } }) + } +}); +``` + +### 3. Critical Bug Fixes Implemented + +#### Double Inference Prevention +- **Problem**: Both OpenAI Realtime AND CopilotKit were generating responses +- **Solution**: Added `{ followUp: false }` to prevent CopilotKit inference +- **Implementation**: `sendCopilotMessage(message, { followUp: false })` + +#### Message History Preservation +- **Problem**: Messages were clearing when actions executed +- **Solution**: Use functional setState pattern +- **Implementation**: `setMessages((prev) => [...prev, actionMessage])` + +#### Message Ordering +- **Problem**: Voice transcripts arriving after triggered actions +- **Solution**: 500ms delay for voice action messages +- **Implementation**: Voice actions delayed to ensure transcript arrives first + +## 📝 Implementation Checklist + +### Library Setup + +1. **Export Realtime Hooks** +```typescript +// packages/react-core/src/hooks/index.ts +export { useRealtimeChat } from "./use-realtime-chat"; +export { useRealtimeActionHandler } from "./use-realtime-action-handler"; +``` + +2. **Configure Token Endpoint** +```typescript +const realtimeConfig = { + tokenEndpoint: "/api/realtime/token", + model: "gpt-realtime", + voice: "alloy", + turnDetection: { + type: "server_vad", + threshold: 0.5, + silence_duration_ms: 500 + } +}; +``` + +3. **Hook Integration** +```typescript +const { connect, disconnect, status, toggleMic, registerTools } = useRealtimeChat(realtimeConfig); +``` + +### Action Registration + +```typescript +// Register CopilotKit actions for voice +useCopilotAction({ + name: "updateField", + description: "Update a form field", + parameters: [ + { name: "fieldName", type: "string" }, + { name: "value", type: "string" } + ], + handler: async ({ fieldName, value }) => { + // Implementation + }, + render: ({ args, status }) => { + // GenerativeUI component + return ; + } +}); +``` + +### Message Handling + +```typescript +// Critical event handlers in useRealtimeChat +switch (type) { + case "conversation.item.created": + // Track creation order for message ordering + messageCreationOrder.current.push(item.id); + break; + + case "conversation.item.input_audio_transcription.completed": + // User voice transcript - send with metadata + sendCopilotMessage(userMessage, { followUp: false }); + break; + + case "response.audio_transcript.done": + // Assistant voice response - send with metadata + sendCopilotMessage(assistantMessage, { followUp: false }); + break; + + case "response.function_call_arguments.done": + // Voice-triggered action execution + executeAction(toolName, argsWithMetadata, 'voice'); + break; +} +``` + +## 🎨 UI Integration + +### Voice Indicators + +```tsx +// RenderMessage.tsx - Visual source attribution +function MessageSourceIndicator({ metadata }) { + const source = metadata?.source || 'text'; + return ( +
+ + {source === 'voice' ? '🎤' : '⌨️'} + + + {source === 'voice' ? 'Voice' : 'Text'} + +
+ ); +} +``` + +### GenerativeUI with Voice Actions + +```tsx +// Actions render correctly when triggered by voice +if (action?.render) { + const RenderedComponent = action.render({ + args: actionMessage.arguments, + status: actionMessage.realtimeStatus || 'pending', + inProgress + }); + + return ( + + {RenderedComponent} + + ); +} +``` + +## 🐛 Troubleshooting Guide + +### Common Issues and Solutions + +1. **Double Inference** + - Symptom: Both OpenAI and CopilotKit respond to voice input + - Solution: Ensure `{ followUp: false }` on all realtime messages + +2. **Messages Disappearing** + - Symptom: Chat history clears when action executes + - Solution: Use functional setState: `setMessages(prev => [...prev, msg])` + +3. **Out-of-Order Messages** + - Symptom: Action appears before user's voice transcript + - Solution: 500ms delay on voice action messages + +4. **Missing Voice Indicators** + - Symptom: Can't distinguish voice from text messages + - Solution: Check metadata is properly passed through message chain + +5. **GenerativeUI Not Rendering** + - Symptom: Voice actions don't show custom UI + - Solution: Ensure action has `render` function defined + +## 🚀 Quick Start Example + +```typescript +import { useRealtimeChat, useCopilotAction } from "@copilotkit/react-core"; + +function VoiceEnabledChat() { + const { connect, disconnect, status, isMicActive, toggleMic } = useRealtimeChat({ + tokenEndpoint: "/api/realtime/token", + voice: "alloy" + }); + + // Define voice-enabled action + useCopilotAction({ + name: "processVoiceCommand", + description: "Process a voice command", + parameters: [ + { name: "command", type: "string" }, + { name: "context", type: "object" } + ], + handler: async ({ command, context }) => { + // Handle the voice command + return { success: true, processed: command }; + }, + render: ({ args, status }) => ( +
+

Voice Command: {args.command}

+

Status: {status}

+
+ ) + }); + + return ( +
+ + {status === "connected" && ( + + )} +
+ ); +} +``` + +## 📊 Performance Considerations + +- **Latency**: WebRTC provides <300ms round-trip latency +- **Message Deduplication**: Prevents duplicate transcripts/messages +- **Memory Management**: Proper cleanup in disconnect handlers +- **Error Recovery**: Automatic reconnection on WebRTC failures + +## 🔒 Security Notes + +- Token endpoint should validate authentication +- Ephemeral keys expire after session +- No audio is stored by default +- All messages pass through CopilotKit's security layer + +## 📚 Further Reading + +- [TECHNICAL-IMPLEMENTATION.md](./TECHNICAL-IMPLEMENTATION.md) - Deep dive into architecture +- [OpenAI Realtime API Docs](https://platform.openai.com/docs/guides/realtime) +- [CopilotKit Actions Guide](https://docs.copilotkit.ai/concepts/actions) + +--- + +*This integration represents a significant advancement in voice-enabled AI applications, providing developers with a seamless way to add real-time voice conversations to their CopilotKit applications while maintaining full GenerativeUI support.* \ No newline at end of file diff --git a/TECHNICAL-IMPLEMENTATION.md b/TECHNICAL-IMPLEMENTATION.md new file mode 100644 index 00000000000..1427630f79b --- /dev/null +++ b/TECHNICAL-IMPLEMENTATION.md @@ -0,0 +1,483 @@ +# Technical Implementation: CopilotKit Realtime Voice Integration + +## Executive Summary + +This document provides an in-depth technical analysis of the OpenAI Realtime API integration with CopilotKit, detailing the architecture, implementation decisions, and solutions to complex technical challenges encountered during development. + +## Table of Contents + +1. [System Architecture](#system-architecture) +2. [Core Hook Implementation](#core-hook-implementation) +3. [Message Pipeline Architecture](#message-pipeline-architecture) +4. [Action Execution System](#action-execution-system) +5. [Critical Bug Fixes and Solutions](#critical-bug-fixes-and-solutions) +6. [WebRTC Integration Details](#webrtc-integration-details) +7. [State Management Strategy](#state-management-strategy) +8. [Performance Optimizations](#performance-optimizations) + +## System Architecture + +### Component Hierarchy + +``` +CopilotKit Application +├── useRealtimeChat (WebRTC Manager) +│ ├── WebRTC Connection +│ ├── DataChannel Events +│ └── Audio Stream Management +├── useRealtimeActionHandler (Action Bridge) +│ ├── Action Resolution +│ ├── GenerativeUI Rendering +│ └── Metadata Management +├── useCopilotChat (Message Router) +│ ├── Message Pipeline +│ ├── State Synchronization +│ └── Inference Control +└── UI Components + ├── RenderMessage (Visual Layer) + ├── Source Indicators + └── GenerativeUI Components +``` + +## Core Hook Implementation + +### useRealtimeChat Hook + +The `useRealtimeChat` hook serves as the primary interface between OpenAI's Realtime API and CopilotKit's message system. + +#### Key Responsibilities: + +1. **WebRTC Connection Management** +```typescript +const connect = useCallback(async () => { + // 1. Fetch ephemeral token + const tokenRes = await fetch(config.tokenEndpoint); + const { value: ephemeralKey } = await tokenRes.json(); + + // 2. Create RTCPeerConnection + const pc = new RTCPeerConnection(); + + // 3. Create data channel for events + const dc = pc.createDataChannel("oai-events"); + + // 4. Set up event handlers + dc.onmessage = handleRealtimeEvent; + + // 5. Complete WebRTC handshake + const offer = await pc.createOffer(); + await pc.setLocalDescription(offer); + + // 6. Exchange with OpenAI Realtime + const response = await fetch(REALTIME_URL, { + method: "POST", + headers: { + Authorization: `Bearer ${ephemeralKey}`, + "Content-Type": "application/sdp" + }, + body: offer.sdp + }); + + // 7. Complete connection + await pc.setRemoteDescription({ + type: "answer", + sdp: await response.text() + }); +}); +``` + +2. **Event Processing Pipeline** +```typescript +const handleRealtimeEvent = useCallback((event: MessageEvent) => { + const data = JSON.parse(event.data); + const { type } = data; + + switch (type) { + case "conversation.item.created": + // Track item creation order + messageCreationOrder.current.push(data.item.id); + break; + + case "conversation.item.input_audio_transcription.completed": + // Process user voice transcript + processUserTranscript(data); + break; + + case "response.audio_transcript.done": + // Process assistant voice response + processAssistantTranscript(data); + break; + + case "response.function_call_arguments.done": + // Execute voice-triggered action + executeVoiceAction(data); + break; + } +}, []); +``` + +3. **Message Deduplication System** +```typescript +// Track processed items to prevent duplicates +const processedItemIds = useRef>(new Set()); +const sentMessages = useRef>(new Map()); + +// Deduplication logic +if (!processedItemIds.current.has(itemId)) { + processedItemIds.current.add(itemId); + + // Check content-based deduplication + const messageKey = `${role}:${content}`; + const existingId = sentMessages.current.get(messageKey); + + if (!(existingId && existingId !== itemId)) { + sentMessages.current.set(messageKey, itemId); + // Process message + } +} +``` + +## Message Pipeline Architecture + +### Message Flow Diagram + +``` +Voice Input → OpenAI Realtime → Transcript Event → useRealtimeChat + ↓ + Create Message + with Metadata + ↓ + sendCopilotMessage + { followUp: false } + ↓ + CopilotKit UI +``` + +### Critical Message Metadata Structure + +```typescript +interface VoiceMessageMetadata { + source: 'voice' | 'text' | 'api'; + voiceData?: { + timestamp: number; + transcript: string; + confidence?: number; + }; + skipInference: boolean; // CRITICAL: Prevents double inference + creationIndex?: number; // Helps with ordering +} +``` + +### The Double Inference Problem and Solution + +**Problem**: When a voice message arrived, both OpenAI Realtime AND CopilotKit would generate responses, causing duplicate and conflicting AI responses. + +**Root Cause**: CopilotKit's default behavior is to send any user message to its AI backend for inference. + +**Solution**: Introduce `{ followUp: false }` option: + +```typescript +// In use-realtime-chat.ts +sendCopilotMessage(userMessage, { followUp: false }); + +// This prevents the internal chat hook from triggering inference +// since OpenAI Realtime has already handled the response +``` + +## Action Execution System + +### useRealtimeActionHandler Hook + +This hook provides a unified interface for executing actions regardless of their source (voice, text, or API). + +#### Key Features: + +1. **Source Attribution** +```typescript +const executeAction = useCallback(async ( + actionName: string, + args: Record, + source: 'voice' | 'text' | 'api' = 'text' +) => { + // Find the action + const action = Object.values(actions).find(a => a.name === actionName); + + // Create ActionExecutionMessage with metadata + const actionMessage = new ActionExecutionMessage({ + id: callId || `${source}-action-${Date.now()}`, + name: actionName, + arguments: cleanArgs, + metadata: { + source, + skipInference: source === 'voice', + ...(source === 'voice' && { + voiceData: { timestamp: Date.now() } + }) + } + }); + + // Add to messages (with delay for voice) + if (source === 'voice') { + setTimeout(() => { + setMessages(prev => [...prev, actionMessage]); + }, 500); + } else { + setMessages(prev => [...prev, actionMessage]); + } +}, [actions, setMessages]); +``` + +2. **GenerativeUI Preservation** + +The system ensures that GenerativeUI components render correctly for voice-triggered actions: + +```typescript +// In RenderMessage.tsx +if ((message as any).type === "ActionExecutionMessage") { + const actionMessage = message as any; + const action = Object.values(actions).find( + a => a.name === actionMessage.name + ); + + if (action?.render) { + const RenderedComponent = action.render({ + args: actionMessage.arguments, + status: actionMessage.realtimeStatus || 'pending', + inProgress + }); + + return ( + + {RenderedComponent} + + ); + } +} +``` + +## Critical Bug Fixes and Solutions + +### 1. Message History Reset Bug + +**Problem**: When a voice action was executed, the entire conversation history would disappear. + +**Root Cause**: Direct state mutation in the message setter: +```typescript +// WRONG - This was causing the bug +setMessages([...messages, actionMessage]); +``` + +**Solution**: Use functional setState to ensure we're always working with the latest state: +```typescript +// CORRECT - Preserves message history +setMessages((prevMessages) => [...prevMessages, actionMessage]); +``` + +### 2. Message Ordering Race Condition + +**Problem**: Voice transcripts would arrive after the actions they triggered, causing confusing conversation flow. + +**Timeline of the issue**: +1. User speaks command +2. OpenAI Realtime processes and triggers action +3. Action executes and adds to UI (fast) +4. Transcript arrives and adds to UI (slow) +5. Result: Action appears before user's command + +**Solution**: Introduce strategic delay for voice actions: +```typescript +if (source === 'voice') { + // Delay voice actions to ensure transcript arrives first + setTimeout(() => { + setMessages((prevMessages) => [...prevMessages, actionMessage]); + }, 500); // 500ms handles most transcript delays +} +``` + +### 3. Undefined sendCopilotMessage + +**Problem**: `sendCopilotMessage` was undefined, preventing messages from reaching the UI. + +**Root Cause**: Incorrect import/usage of the chat hook: +```typescript +// WRONG - appendMessage is deprecated +const { appendMessage } = useCopilotChat(); +``` + +**Solution**: Use the correct method from the hook: +```typescript +// CORRECT - sendMessage is the right method +const { sendMessage } = useCopilotChat(); +const sendCopilotMessage = sendMessage; +``` + +## WebRTC Integration Details + +### Connection Lifecycle + +1. **Initialization** + - Request ephemeral token from backend + - Create RTCPeerConnection with STUN servers + - Set up data channel for bidirectional events + +2. **Session Configuration** + ```typescript + const sessionConfig = { + model: config.model || "gpt-4o-realtime-preview", + voice: config.voice || "alloy", + turn_detection: config.turnDetection || { + type: "server_vad", + threshold: 0.5, + silence_duration_ms: 500 + }, + tools: registeredTools.current + }; + ``` + +3. **Audio Stream Management** + ```typescript + // Capture microphone + const stream = await navigator.mediaDevices.getUserMedia({ + audio: true + }); + + // Add to peer connection + stream.getTracks().forEach(track => { + pc.addTrack(track, stream); + }); + + // Handle remote audio + pc.ontrack = (e) => { + const audio = document.createElement("audio"); + audio.autoplay = true; + audio.srcObject = e.streams[0]; + }; + ``` + +## State Management Strategy + +### Three-Layer State Architecture + +1. **WebRTC Layer** (useRealtimeChat) + - Connection state + - Audio streams + - Raw event processing + +2. **Action Layer** (useRealtimeActionHandler) + - Action resolution + - Execution tracking + - GenerativeUI coordination + +3. **Message Layer** (useCopilotChat) + - Conversation history + - UI state + - Persistence + +### State Synchronization + +```typescript +// Careful synchronization between layers +const processUserTranscript = (transcript, itemId) => { + // 1. Create message with proper metadata + const message = { + id: itemId, + role: "user", + content: transcript, + metadata: { source: 'voice', skipInference: true } + }; + + // 2. Send through pipeline with no follow-up + sendCopilotMessage(message, { followUp: false }); + + // 3. Track in deduplication system + processedItemIds.current.add(itemId); + sentMessages.current.set(`user:${transcript}`, itemId); +}; +``` + +## Performance Optimizations + +### 1. Message Deduplication +- Prevents duplicate processing of transcripts +- Content-based and ID-based deduplication +- Memory-efficient Set/Map structures + +### 2. Lazy Component Rendering +- GenerativeUI components render on-demand +- Action messages only render when visible +- Voice indicators are lightweight CSS-only + +### 3. WebRTC Optimization +- Single data channel for all events +- Binary message format when possible +- Automatic reconnection on failure + +### 4. Memory Management +```typescript +// Cleanup on disconnect +const disconnect = useCallback(() => { + // Close connections + dcRef.current?.close(); + pcRef.current?.close(); + + // Stop audio streams + streamRef.current?.getTracks().forEach(track => track.stop()); + + // Clear refs + dcRef.current = null; + pcRef.current = null; + streamRef.current = null; + + // Clear tracking sets + processedItemIds.current.clear(); + sentMessages.current.clear(); + messageCreationOrder.current = []; +}, []); +``` + +## Testing Considerations + +### Key Test Scenarios + +1. **Double Inference Prevention** + - Voice input should trigger only one AI response + - Test with multiple rapid voice inputs + +2. **Message Ordering** + - Transcript should appear before triggered action + - Test with varying network latencies + +3. **GenerativeUI Rendering** + - Voice actions should render custom UI + - Test with complex nested components + +4. **Error Recovery** + - WebRTC disconnection and reconnection + - Token expiration handling + - Network failure scenarios + +## Future Enhancements + +1. **Advanced Message Ordering** + - Implement proper message queue with reordering + - Remove delay-based solution + +2. **Enhanced Error Recovery** + - Automatic reconnection with exponential backoff + - Message replay on reconnection + +3. **Performance Monitoring** + - Latency tracking for voice commands + - Success rate metrics + - User experience analytics + +## Conclusion + +This implementation represents a sophisticated integration of real-time voice capabilities with CopilotKit's existing architecture. The solution carefully balances performance, user experience, and maintainability while preserving all existing CopilotKit functionality including GenerativeUI support. + +The key innovations include: +- Preventing double inference through the `followUp: false` mechanism +- Preserving conversation history with functional state updates +- Supporting GenerativeUI for voice-triggered actions +- Providing visual attribution for message sources + +This integration enables developers to build truly multimodal AI applications with CopilotKit, supporting both text and voice interactions seamlessly. \ No newline at end of file diff --git a/examples/copilot-form-filling-realtime/.env.local.example b/examples/copilot-form-filling-realtime/.env.local.example new file mode 100644 index 00000000000..f5e950aa034 --- /dev/null +++ b/examples/copilot-form-filling-realtime/.env.local.example @@ -0,0 +1,5 @@ +# CopilotKit Public API Key (get one at https://copilotkit.ai) +NEXT_PUBLIC_COPILOT_PUBLIC_API_KEY=your_copilotkit_public_api_key_here + +# OpenAI API Key (get one at https://platform.openai.com) +OPENAI_API_KEY=your_openai_api_key_here \ No newline at end of file diff --git a/examples/copilot-form-filling-realtime/.gitignore b/examples/copilot-form-filling-realtime/.gitignore new file mode 100644 index 00000000000..a14a7ef99ae --- /dev/null +++ b/examples/copilot-form-filling-realtime/.gitignore @@ -0,0 +1,43 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.* +.yarn/* +!.yarn/patches +!.yarn/plugins +!.yarn/releases +!.yarn/versions + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* +.pnpm-debug.log* + +# env files (can opt-in for committing if needed) +.env* +!.env.local.example +!.env.example + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts diff --git a/examples/copilot-form-filling-realtime/README-REALTIME.md b/examples/copilot-form-filling-realtime/README-REALTIME.md new file mode 100644 index 00000000000..fd189f9d225 --- /dev/null +++ b/examples/copilot-form-filling-realtime/README-REALTIME.md @@ -0,0 +1,109 @@ +# 🎙️ CopilotKit Realtime Voice Medical Intake Form Example + +This example demonstrates how to use CopilotKit's OpenAI Realtime API integration for voice-enabled medical intake form filling. + +## Features + +- **Voice-Enabled Form Filling**: Speak naturally to fill out forms +- **Real-time Transcription**: See your speech converted to text instantly +- **Ultra-Low Latency**: Direct WebRTC connection to OpenAI servers +- **Visual Feedback**: Audio level indicators and connection status +- **Microphone Controls**: Mute/unmute functionality + +## Setup + +### 1. Install Dependencies + +```bash +npm install --legacy-peer-deps +``` + +### 2. Configure Environment Variables + +Copy `.env.local.example` to `.env.local` and add your OpenAI API key: + +```bash +cp .env.local.example .env.local +``` + +Edit `.env.local`: +``` +OPENAI_API_KEY=sk-your-api-key-here +``` + +### 3. Run the Development Server + +```bash +npm run dev +``` + +Open [http://localhost:3000](http://localhost:3000) in your browser. + +## How to Use + +1. **Start Voice Chat**: Click the "Start Voice Chat" button in the voice controls panel +2. **Allow Microphone Access**: Grant permission when prompted by your browser +3. **Speak Naturally**: Try saying: + - "Fill out the medical intake form for chest pain with level 7 pain" + - "Report a headache that started this morning with moderate severity" + - "Create a medical intake for abdominal pain with level 5 pain" +4. **Watch the Form Fill**: The form fields will automatically populate based on your voice input +5. **Mute/Unmute**: Use the mute button to control when the AI can hear you +6. **End Call**: Click "End Call" when finished + +## Voice Commands Examples + +- **Basic Fill**: "Fill the form with my name Sarah Johnson, date of birth March 15th 1985" +- **Medical Intake**: "Report chest pain that started yesterday with level 7 pain severity" +- **Detailed Intake**: "Create a medical intake for abdominal pain. The pain started this morning and feels like cramping. Pain level is 5. I have a history of IBS and take medication for it." + +## Technical Details + +### Architecture + +- **WebRTC Connection**: Direct peer-to-peer connection to OpenAI Realtime servers +- **Ephemeral Tokens**: Secure, temporary authentication tokens +- **Tool Registration**: Form actions are registered as voice-callable tools +- **Real-time Updates**: Form updates happen instantly as you speak + +### Key Components + +- `VoiceControls.tsx`: Voice UI controls and WebRTC management +- `IncidentReportForm.tsx`: Medical intake form with integrated voice capabilities +- `/api/realtime/token/route.ts`: Backend endpoint for ephemeral tokens + +## Troubleshooting + +### Connection Issues +- Ensure your OpenAI API key is correctly set in `.env.local` +- Check that you have credits in your OpenAI account +- Verify microphone permissions in your browser + +### No Audio +- Check browser microphone permissions +- Ensure your microphone is not muted at the system level +- Try refreshing the page and reconnecting + +### Form Not Updating +- Speak clearly and wait for the transcription to complete +- Check the browser console for any errors +- Ensure the voice controls show "Connected" status + +## Browser Support + +- ✅ Chrome 90+ (Recommended) +- ✅ Firefox 88+ +- ⚠️ Safari 15+ (Limited WebRTC support) +- ✅ Edge 90+ + +## Security Notes + +- Never expose your OpenAI API key in client-side code +- The ephemeral token endpoint should include user authentication in production +- Consider rate limiting the token endpoint to prevent abuse + +## Learn More + +- [CopilotKit Documentation](https://docs.copilotkit.ai) +- [OpenAI Realtime API](https://platform.openai.com/docs/guides/realtime) +- [WebRTC Fundamentals](https://webrtc.org) \ No newline at end of file diff --git a/examples/copilot-form-filling-realtime/README.md b/examples/copilot-form-filling-realtime/README.md new file mode 100644 index 00000000000..c7f67af4e24 --- /dev/null +++ b/examples/copilot-form-filling-realtime/README.md @@ -0,0 +1,159 @@ + + +# Medical Intake Form Copilot +Transform tedious medical form-filling into natural conversations. Your AI assistant asks the right questions, understands medical context, and completes intake forms for you—no more field-by-field drudgery. + +[Click here for a running example](https://medical-intake-copilot.vercel.app/) + + + +## 🛠️ Getting Started + +### Prerequisites + +- Node.js 18+ +- npm, yarn, or pnpm + +### Installation + +1. Clone the repository: + ```bash + git clone https://github.com/CopilotKit/CopilotKit.git + cd CopilotKit/examples/copilot-form-filling-realtime + ``` + +2. Install dependencies: + + ```bash + pnpm install + ``` + +
+ Using other package managers + + ```bash + # Using yarn + yarn install + + # Using pnpm + npm install + ``` +
+ +3. Create a `.env` file in the project root and add your [Copilot Cloud Public API Key](https://cloud.copilotkit.ai): + ``` + NEXT_PUBLIC_COPILOT_PUBLIC_API_KEY=your_copilotkit_api_key + ``` + +4. Start the development server: + + ```bash + pnpm dev + ``` + +
+ Using other package managers + + ```bash + # Using yarn + yarn dev + + # Using pnpm + npm run dev + ``` +
+ +5. Open [http://localhost:3000](http://localhost:3000) in your browser to see the application. + +## 🧩 How It Works + +This demo uses several key CopilotKit features: + +### CopilotKit Provider +This provides the chat context to all of the children components. + +[app/layout.tsx](./app/layout.tsx) + +```tsx +export default function RootLayout({children}: Readonly<{children: React.ReactNode}>) { + return ( + + + + {children} + + + + ); +} +``` + +### CopilotReadable +This provides the form fields and their current values to the AI so it understands the current state of the form and session. + +[components/IncidentReportForm.tsx](./components/IncidentReportForm.tsx) + +```tsx +useCopilotReadable({ + description: "The medical intake form fields and their current values", + value: formState +}); +``` + +[app/page.tsx](./app/page.tsx) + +```tsx +useCopilotReadable({ + description: "The current user information", + value: retrieveUserInfo(), +}) +``` + +### CopilotAction +This allows the AI to update the form fields. + +[components/IncidentReportForm.tsx](./components/IncidentReportForm.tsx) + +```tsx +useCopilotAction({ + name: "fillMedicalIntakeForm", + description: "Fill out the medical intake form", + parameters: [ + { + name: "fullName", + type: "string", + required: true, + description: "The full name of the patient" + }, + // other parameters ... + ], + handler: async (action) => { + form.setValue("name", action.fullName); + form.setValue("dateOfBirth", new Date(action.dateOfBirth)); + form.setValue("phone", action.phone); + form.setValue("chiefComplaint", action.chiefComplaint); + form.setValue("symptoms", action.symptoms); + form.setValue("painLevel", action.painLevel); + }, +}); +``` + +## 📚 Learn More + +Ready to build your own AI-powered form assistant? Check out these resources: + +[CopilotKit Documentation](https://docs.copilotkit.ai) - Comprehensive guides and API references to help you build your own copilots. + +[CopilotKit Cloud](https://cloud.copilotkit.ai/) - Deploy your copilots with our managed cloud solution for production-ready AI assistants. diff --git a/examples/copilot-form-filling-realtime/app/api/realtime/token/route.ts b/examples/copilot-form-filling-realtime/app/api/realtime/token/route.ts new file mode 100644 index 00000000000..edc1326e4e5 --- /dev/null +++ b/examples/copilot-form-filling-realtime/app/api/realtime/token/route.ts @@ -0,0 +1,53 @@ +import { NextResponse } from 'next/server'; + +export async function GET(request: Request) { + // In production, authenticate the user here + // const user = await authenticateUser(request); + // if (!user) { + // return NextResponse.json({ error: 'Unauthorized' }, { status: 401 }); + // } + + if (!process.env.OPENAI_API_KEY) { + return NextResponse.json( + { error: 'OpenAI API key not configured' }, + { status: 500 } + ); + } + + try { + // Get ephemeral token from OpenAI + const response = await fetch('https://api.openai.com/v1/realtime/sessions', { + method: 'POST', + headers: { + 'Authorization': `Bearer ${process.env.OPENAI_API_KEY}`, + 'Content-Type': 'application/json', + }, + body: JSON.stringify({ + model: 'gpt-4o-realtime-preview', + voice: 'alloy', + }), + }); + + if (!response.ok) { + const error = await response.text(); + console.error('OpenAI API error:', error); + return NextResponse.json( + { error: 'Failed to get ephemeral token' }, + { status: response.status } + ); + } + + const data = await response.json(); + + return NextResponse.json({ + value: data.client_secret.value, + expires_at: data.client_secret.expires_at, + }); + } catch (error) { + console.error('Error fetching ephemeral token:', error); + return NextResponse.json( + { error: 'Internal server error' }, + { status: 500 } + ); + } +} \ No newline at end of file diff --git a/examples/copilot-form-filling-realtime/app/favicon.ico b/examples/copilot-form-filling-realtime/app/favicon.ico new file mode 100644 index 00000000000..718d6fea483 Binary files /dev/null and b/examples/copilot-form-filling-realtime/app/favicon.ico differ diff --git a/examples/copilot-form-filling-realtime/app/globals.css b/examples/copilot-form-filling-realtime/app/globals.css new file mode 100644 index 00000000000..d6a8cdafe8a --- /dev/null +++ b/examples/copilot-form-filling-realtime/app/globals.css @@ -0,0 +1,128 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +/* @theme { + --font-sans: var(--font-geist-sans); + --font-mono: var(--font-geist-mono); +} */ + +:root { + --copilot-kit-primary-color: black; + --background: oklch(1 0 0); + --foreground: oklch(0.147 0.004 49.25); + --card: oklch(1 0 0); + --card-foreground: oklch(0.147 0.004 49.25); + --popover: oklch(1 0 0); + --popover-foreground: oklch(0.147 0.004 49.25); + --primary: oklch(0.216 0.006 56.043); + --primary-foreground: oklch(0.985 0.001 106.423); + --secondary: oklch(0.97 0.001 106.424); + --secondary-foreground: oklch(0.216 0.006 56.043); + --muted: oklch(0.97 0.001 106.424); + --muted-foreground: oklch(0.553 0.013 58.071); + --accent: oklch(0.97 0.001 106.424); + --accent-foreground: oklch(0.216 0.006 56.043); + --destructive: oklch(0.577 0.245 27.325); + --destructive-foreground: oklch(0.577 0.245 27.325); + --border: oklch(0.923 0.003 48.717); + --input: oklch(0.923 0.003 48.717); + --ring: oklch(0.869 0.005 56.366); + --chart-1: oklch(0.646 0.222 41.116); + --chart-2: oklch(0.6 0.118 184.704); + --chart-3: oklch(0.398 0.07 227.392); + --chart-4: oklch(0.828 0.189 84.429); + --chart-5: oklch(0.769 0.188 70.08); + --radius: 0.625rem; + --sidebar: oklch(0.985 0.001 106.423); + --sidebar-foreground: oklch(0.147 0.004 49.25); + --sidebar-primary: oklch(0.216 0.006 56.043); + --sidebar-primary-foreground: oklch(0.985 0.001 106.423); + --sidebar-accent: oklch(0.97 0.001 106.424); + --sidebar-accent-foreground: oklch(0.216 0.006 56.043); + --sidebar-border: oklch(0.923 0.003 48.717); + --sidebar-ring: oklch(0.869 0.005 56.366); +} + +.dark { + --background: oklch(0.147 0.004 49.25); + --foreground: oklch(0.985 0.001 106.423); + --card: oklch(0.147 0.004 49.25); + --card-foreground: oklch(0.985 0.001 106.423); + --popover: oklch(0.147 0.004 49.25); + --popover-foreground: oklch(0.985 0.001 106.423); + --primary: oklch(0.985 0.001 106.423); + --primary-foreground: oklch(0.216 0.006 56.043); + --secondary: oklch(0.268 0.007 34.298); + --secondary-foreground: oklch(0.985 0.001 106.423); + --muted: oklch(0.268 0.007 34.298); + --muted-foreground: oklch(0.709 0.01 56.259); + --accent: oklch(0.268 0.007 34.298); + --accent-foreground: oklch(0.985 0.001 106.423); + --destructive: oklch(0.396 0.141 25.723); + --destructive-foreground: oklch(0.637 0.237 25.331); + --border: oklch(0.268 0.007 34.298); + --input: oklch(0.268 0.007 34.298); + --ring: oklch(0.553 0.013 58.071); + --chart-1: oklch(0.488 0.243 264.376); + --chart-2: oklch(0.696 0.17 162.48); + --chart-3: oklch(0.769 0.188 70.08); + --chart-4: oklch(0.627 0.265 303.9); + --chart-5: oklch(0.645 0.246 16.439); + --sidebar: oklch(0.216 0.006 56.043); + --sidebar-foreground: oklch(0.985 0.001 106.423); + --sidebar-primary: oklch(0.488 0.243 264.376); + --sidebar-primary-foreground: oklch(0.985 0.001 106.423); + --sidebar-accent: oklch(0.268 0.007 34.298); + --sidebar-accent-foreground: oklch(0.985 0.001 106.423); + --sidebar-border: oklch(0.268 0.007 34.298); + --sidebar-ring: oklch(0.553 0.013 58.071); +} + +/* @theme inline { + --color-background: var(--background); + --color-foreground: var(--foreground); + --color-card: var(--card); + --color-card-foreground: var(--card-foreground); + --color-popover: var(--popover); + --color-popover-foreground: var(--popover-foreground); + --color-primary: var(--primary); + --color-primary-foreground: var(--primary-foreground); + --color-secondary: var(--secondary); + --color-secondary-foreground: var(--secondary-foreground); + --color-muted: var(--muted); + --color-muted-foreground: var(--muted-foreground); + --color-accent: var(--accent); + --color-accent-foreground: var(--accent-foreground); + --color-destructive: var(--destructive); + --color-destructive-foreground: var(--destructive-foreground); + --color-border: var(--border); + --color-input: var(--input); + --color-ring: var(--ring); + --color-chart-1: var(--chart-1); + --color-chart-2: var(--chart-2); + --color-chart-3: var(--chart-3); + --color-chart-4: var(--chart-4); + --color-chart-5: var(--chart-5); + --radius-sm: calc(var(--radius) - 4px); + --radius-md: calc(var(--radius) - 2px); + --radius-lg: var(--radius); + --radius-xl: calc(var(--radius) + 4px); + --color-sidebar: var(--sidebar); + --color-sidebar-foreground: var(--sidebar-foreground); + --color-sidebar-primary: var(--sidebar-primary); + --color-sidebar-primary-foreground: var(--sidebar-primary-foreground); + --color-sidebar-accent: var(--sidebar-accent); + --color-sidebar-accent-foreground: var(--sidebar-accent-foreground); + --color-sidebar-border: var(--sidebar-border); + --color-sidebar-ring: var(--sidebar-ring); +} */ + +@layer base { + * { + @apply border-border outline-ring/50; + } + body { + @apply bg-background text-foreground; + } +} diff --git a/examples/copilot-form-filling-realtime/app/layout.tsx b/examples/copilot-form-filling-realtime/app/layout.tsx new file mode 100644 index 00000000000..85955b36230 --- /dev/null +++ b/examples/copilot-form-filling-realtime/app/layout.tsx @@ -0,0 +1,39 @@ +import type { Metadata } from "next"; +import { Geist, Geist_Mono } from "next/font/google"; +import "./globals.css"; +import { CopilotKit } from "@copilotkit/react-core"; +import "@copilotkit/react-ui/styles.css"; + +const geistSans = Geist({ + variable: "--font-geist-sans", + subsets: ["latin"], +}); + +const geistMono = Geist_Mono({ + variable: "--font-geist-mono", + subsets: ["latin"], +}); + +export const metadata: Metadata = { + title: "Create Next App", + description: "Generated by create next app", +}; + +export default function RootLayout({ + children, +}: Readonly<{ + children: React.ReactNode; +}>) { + return ( + + + + {children} + + + + ); +} diff --git a/examples/copilot-form-filling-realtime/app/page.tsx b/examples/copilot-form-filling-realtime/app/page.tsx new file mode 100644 index 00000000000..3912c58f1a6 --- /dev/null +++ b/examples/copilot-form-filling-realtime/app/page.tsx @@ -0,0 +1,43 @@ +"use client"; + +import { CopilotPopup } from "@copilotkit/react-ui"; +import { MedicalIntakeForm } from "@/components/IncidentReportForm"; +import { prompt } from "@/lib/prompt"; +import { useCopilotReadable } from "@copilotkit/react-core"; +import { retrieveUserInfo } from "@/lib/user-info"; + +export default function Home() { + useCopilotReadable({ + description: "The current user information", + value: retrieveUserInfo(), + }) + + return ( +
+ +
+
+

Medical Intake Form

+

Please fill out the form below for your medical appointment

+
+ +
+ +
+ +
+

🪁 Powered by CopilotKit

+
+
+
+ ); +} diff --git a/examples/copilot-form-filling-realtime/bun.lock b/examples/copilot-form-filling-realtime/bun.lock new file mode 100644 index 00000000000..b313ef2d61f --- /dev/null +++ b/examples/copilot-form-filling-realtime/bun.lock @@ -0,0 +1,1030 @@ +{ + "lockfileVersion": 1, + "workspaces": { + "": { + "name": "copilot-form-filling", + "dependencies": { + "@copilotkit/react-core": "file:../../CopilotKit/packages/react-core", + "@copilotkit/react-ui": "file:../../CopilotKit/packages/react-ui", + "@hookform/resolvers": "^4.1.2", + "@radix-ui/react-label": "^2.1.2", + "@radix-ui/react-popover": "^1.1.6", + "@radix-ui/react-select": "^2.1.6", + "@radix-ui/react-slot": "^1.1.2", + "class-variance-authority": "^0.7.1", + "clsx": "^2.1.1", + "date-fns": "^4.1.0", + "lucide-react": "^0.476.0", + "next": "15.2.0-canary.76", + "react": "^19.0.0", + "react-day-picker": "8.10.1", + "react-dom": "^19.0.0", + "react-hook-form": "^7.54.2", + "tailwind-merge": "^3.0.2", + 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performs a complete clean rebuild of the CopilotKit packages and example app + +echo "🧹 Starting clean rebuild process..." +echo "" + +# Save current directory +EXAMPLE_DIR=$(pwd) +COPILOTKIT_ROOT="../../CopilotKit" + +# Step 1: Clean and rebuild CopilotKit packages +echo "📦 Step 1: Cleaning and rebuilding CopilotKit packages..." +cd $COPILOTKIT_ROOT + +echo " → Cleaning packages..." +pnpm run clean + +echo " → Installing dependencies..." +pnpm install + +echo " → Building packages..." +pnpm run build + +echo "✅ CopilotKit packages rebuilt!" +echo "" + +# Step 2: Clean the example app +cd $EXAMPLE_DIR +echo "🗑️ Step 2: Cleaning example app..." + +echo " → Removing .next cache..." +rm -rf .next + +echo " → Removing node_modules..." +rm -rf node_modules + +echo " → Removing package-lock.json..." +rm -rf package-lock.json + +echo "✅ Example app cleaned!" +echo "" + +# Step 3: Reinstall example app dependencies +echo "📥 Step 3: Installing fresh dependencies..." +npm install --legacy-peer-deps + +echo "" +echo "✨ Clean rebuild complete!" +echo "" +echo "To start the app, run:" +echo " npm run dev" +echo "" +echo "The app will be available at http://localhost:3000 (or 3001 if 3000 is in use)" \ No newline at end of file diff --git a/examples/copilot-form-filling-realtime/components.json b/examples/copilot-form-filling-realtime/components.json new file mode 100644 index 00000000000..2883c943c48 --- /dev/null +++ b/examples/copilot-form-filling-realtime/components.json @@ -0,0 +1,21 @@ +{ + "$schema": "https://ui.shadcn.com/schema.json", + "style": "new-york", + "rsc": true, + "tsx": true, + "tailwind": { + "config": "", + "css": "app/globals.css", + "baseColor": "stone", + "cssVariables": true, + "prefix": "" + }, + "aliases": { + "components": "@/components", + "utils": "@/lib/utils", + "ui": "@/components/ui", + "lib": "@/lib", + "hooks": "@/hooks" + }, + "iconLibrary": "lucide" +} \ No newline at end of file diff --git a/examples/copilot-form-filling-realtime/components/IncidentReportForm.tsx b/examples/copilot-form-filling-realtime/components/IncidentReportForm.tsx new file mode 100644 index 00000000000..d2073599c88 --- /dev/null +++ b/examples/copilot-form-filling-realtime/components/IncidentReportForm.tsx @@ -0,0 +1,634 @@ +"use client"; + +import React from "react"; +import { zodResolver } from "@hookform/resolvers/zod"; +import { useForm } from "react-hook-form"; +import * as z from "zod"; +import { Button } from "@/components/ui/button"; +import { + Form, + FormControl, + FormField, + FormItem, + FormLabel, + FormMessage, +} from "@/components/ui/form"; +import { Input } from "@/components/ui/input"; +import { Textarea } from "@/components/ui/textarea"; +import { + Select, + SelectContent, + SelectItem, + SelectTrigger, + SelectValue, +} from "@/components/ui/select"; +import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card"; +import { Calendar } from "@/components/ui/calendar"; +import { Popover, PopoverContent, PopoverTrigger } from "@/components/ui/popover"; +import { CalendarIcon } from "lucide-react"; +import { format } from "date-fns"; +import { cn } from "@/lib/utils"; +import { useCopilotAction, useCopilotReadable } from "@copilotkit/react-core"; +import { VoiceControls } from "./VoiceControls"; +import { useRealtimeActions } from "@/lib/use-realtime-actions"; + +// Define the form schema with Zod +const formSchema = z.object({ + name: z.string().min(2, { + message: "Name must be at least 2 characters.", + }), + dateOfBirth: z.date({ + required_error: "Please select your date of birth.", + }), + phone: z.string().min(10, { + message: "Please enter a valid phone number.", + }), + emergencyContact: z.string().min(2, { + message: "Emergency contact name must be at least 2 characters.", + }), + emergencyPhone: z.string().min(10, { + message: "Please enter a valid emergency contact phone number.", + }), + chiefComplaint: z.string({ + required_error: "Please select your chief complaint.", + }), + symptoms: z.string().min(10, { + message: "Please describe your symptoms in detail (at least 10 characters).", + }), + painLevel: z.string({ + required_error: "Please select your pain level.", + }), + medicalHistory: z.string().min(10, { + message: "Please provide relevant medical history (at least 10 characters).", + }), + currentMedications: z.string().optional(), + allergies: z.string().optional(), +}); + +export function MedicalIntakeForm() { + const form = useForm>({ + resolver: zodResolver(formSchema), + defaultValues: { + name: "", + dateOfBirth: undefined, + phone: "", + emergencyContact: "", + emergencyPhone: "", + chiefComplaint: "", + symptoms: "", + painLevel: "", + medicalHistory: "", + currentMedications: "", + allergies: "", + }, + }); + + function onSubmit(values: z.infer) { + console.log(values); + alert("Medical intake form submitted successfully!"); + form.reset({ + name: "", + dateOfBirth: undefined, + phone: "", + emergencyContact: "", + emergencyPhone: "", + chiefComplaint: "", + symptoms: "", + painLevel: "", + medicalHistory: "", + currentMedications: "", + allergies: "", + }); + } + + useCopilotReadable({ + description: "The medical intake form fields and their current values", + value: form, + }, [form]); + + // Action for showing confirmation UI through voice + useCopilotAction({ + name: "confirmMedicalIntake", + description: "Show confirmation dialog for the medical intake form before submission", + parameters: [ + { + name: "summary", + type: "string", + required: true, + description: "Summary of the medical intake form to confirm" + } + ], + render: ({ args }) => { + return ( +
+

🏥 Confirming Medical Intake

+

{args.summary}

+

The form has been filled. Please review and submit.

+
+ ); + }, + }); + + // GenerativeUI: Schedule Appointment with editable fields and confirmation + useCopilotAction({ + name: "scheduleAppointment", + description: "Schedule a medical appointment for the patient", + parameters: [ + { + name: "preferredDate", + type: "string", + required: true, + description: "Preferred date for the appointment (ISO or natural language)" + }, + { + name: "preferredTime", + type: "string", + required: true, + description: "Preferred time for the appointment (e.g., 10:30 AM)" + }, + { + name: "appointmentType", + type: "string", + required: true, + description: "Type of appointment", + enum: [ + "new_patient", + "follow_up", + "telemedicine", + "urgent_care", + "lab_work", + "imaging" + ] + }, + { + name: "provider", + type: "string", + required: false, + description: "Preferred provider or specialty (optional)" + } + ], + renderAndWaitForResponse: ({ args, respond, status }) => { + function AppointmentEditor() { + const [preferredDate, setPreferredDate] = React.useState(args.preferredDate || ""); + const [preferredTime, setPreferredTime] = React.useState(args.preferredTime || ""); + const [appointmentType, setAppointmentType] = React.useState(args.appointmentType || "new_patient"); + const [provider, setProvider] = React.useState(args.provider || ""); + + const isBusy = status === "executing" || status === "inProgress"; + + return ( +
+

📅 Appointment Scheduling

+
+
+ + setPreferredDate(e.target.value)} + /> +
+
+ + setPreferredTime(e.target.value)} + /> +
+
+ + +
+
+ + setProvider(e.target.value)} + /> +
+
+
+ + +
+

You can adjust details before confirming. We'll check availability and confirm shortly.

+
+ ); + } + + if (status === "inProgress" || status === "executing") { + return ; + } + return ( +
+

📅 Appointment Scheduled (Pending Confirmation)

+
+

Preferred date: {args.preferredDate}

+

Preferred time: {args.preferredTime}

+

Type: {args.appointmentType}

+ {args.provider &&

Provider: {args.provider}

} +
+

Thanks! We received your scheduling request.

+
+ ); + }, + }); + + useCopilotAction({ + name: "fillMedicalIntakeForm", + description: "Fill out the medical intake form", + parameters: [ + { + "name": "fullName", + "type": "string", + "required": true, + "description": "The full name of the patient" + }, + { + "name": "dateOfBirth", + "type": "string", + "required": true, + "description": "The patient's date of birth" + }, + { + "name": "phone", + "type": "string", + "required": true, + "description": "The patient's phone number" + }, + { + "name": "emergencyContact", + "type": "string", + "required": true, + "description": "The name of the emergency contact person" + }, + { + "name": "emergencyPhone", + "type": "string", + "required": true, + "description": "The emergency contact's phone number" + }, + { + "name": "chiefComplaint", + "type": "string", + "required": true, + "description": "The primary reason for the visit, must be one of: chest_pain, headache, fever, abdominal_pain, shortness_of_breath, dizziness, nausea, fatigue, other" + }, + { + "name": "symptoms", + "type": "string", + "required": true, + "description": "Detailed description of symptoms, be as specific as possible. At least 30 words." + }, + { + "name": "painLevel", + "type": "string", + "required": true, + "description": "The pain level on a scale of 1-10, must be one of: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10" + }, + { + "name": "medicalHistory", + "type": "string", + "required": true, + "description": "Relevant medical history including past conditions, surgeries, and chronic illnesses." + }, + { + "name": "currentMedications", + "type": "string", + "required": false, + "description": "Current medications the patient is taking, including dosages if known." + }, + { + "name": "allergies", + "type": "string", + "required": false, + "description": "Known allergies to medications, foods, or other substances." + }, + ], + handler: async (action) => { + form.setValue("name", action.fullName); + form.setValue("dateOfBirth", new Date(action.dateOfBirth)); + form.setValue("phone", action.phone); + form.setValue("emergencyContact", action.emergencyContact); + form.setValue("emergencyPhone", action.emergencyPhone); + form.setValue("chiefComplaint", action.chiefComplaint); + form.setValue("symptoms", action.symptoms); + form.setValue("painLevel", action.painLevel); + form.setValue("medicalHistory", action.medicalHistory); + form.setValue("currentMedications", action.currentMedications || ""); + form.setValue("allergies", action.allergies || ""); + }, + }); + + // Bridge CopilotKit actions with Realtime tools + const { realtimeTools, handleToolCall } = useRealtimeActions({ + onFillForm: (args) => { + // Fill the form with the provided data + form.setValue("name", args.fullName || ""); + form.setValue("phone", args.phone || ""); + form.setValue("emergencyContact", args.emergencyContact || ""); + form.setValue("emergencyPhone", args.emergencyPhone || ""); + form.setValue("chiefComplaint", args.chiefComplaint || "other"); + form.setValue("symptoms", args.symptoms || ""); + form.setValue("painLevel", args.painLevel || "1"); + form.setValue("medicalHistory", args.medicalHistory || ""); + form.setValue("currentMedications", args.currentMedications || ""); + form.setValue("allergies", args.allergies || ""); + + // Parse and set date of birth if provided + if (args.dateOfBirth) { + const parsedDate = new Date(args.dateOfBirth); + if (!isNaN(parsedDate.getTime())) { + form.setValue("dateOfBirth", parsedDate); + } + } + } + }); + + return ( +
+ + + + Medical Intake Form + + Please provide your medical information for our healthcare team. All information is confidential and secure. + + + +
+ +
+ ( + + Full Name + + + + + + )} + /> + ( + + Date of Birth + + + + + + + + + date > new Date() || date < new Date("1900-01-01") + } + initialFocus + /> + + + + + )} + /> +
+ +
+ ( + + Phone Number + + + + + + )} + /> + ( + + Emergency Contact Name + + + + + + )} + /> +
+ + ( + + Emergency Contact Phone + + + + + + )} + /> + +
+ ( + + Chief Complaint + + + + )} + /> + ( + + Pain Level (1-10) + + + + )} + /> +
+ + ( + + Symptoms Description + +