mirror of
https://dev.azure.com/globalhealthx/EMR/_git/helix-engage
synced 2026-05-18 20:08:19 +00:00
- Suggestions moved from above chat to below (before input) — agent reads summary first, sees suggestions after AI responds - During streaming, the last assistant message (raw JSON) is hidden — only the typing indicator shows. Once complete, parsed message renders. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
255 lines
11 KiB
TypeScript
255 lines
11 KiB
TypeScript
import type { ReactNode } from 'react';
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import { useState, useRef, useEffect, useCallback } from 'react';
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import { useThemeTokens } from '@/providers/theme-token-provider';
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import { useChat } from '@ai-sdk/react';
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import { FontAwesomeIcon } from '@fortawesome/react-fontawesome';
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import { faPaperPlaneTop, faSparkles, faUserHeadset } from '@fortawesome/pro-duotone-svg-icons';
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import { AiSummaryCard, type CallerSummary } from './ai-summary-card';
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import { AiSuggestions, type Suggestion } from './ai-suggestions';
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const API_URL = import.meta.env.VITE_API_URL ?? 'http://localhost:4100';
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type CallerContext = {
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type?: string;
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callerPhone?: string;
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leadId?: string;
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leadName?: string;
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};
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interface AiChatPanelProps {
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callerContext?: CallerContext;
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callerSummary?: CallerSummary | null;
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onChatStart?: () => void;
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}
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const SUPERVISOR_QUICK_ACTIONS = [
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{ label: 'Agent performance', prompt: 'Show me agent performance this week.' },
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{ label: 'Call summary', prompt: 'Summarize call activity this week.' },
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{ label: 'Campaign stats', prompt: 'How are the campaigns performing?' },
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{ label: 'Who needs attention?', prompt: 'Which agents are underperforming or need attention?' },
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];
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const SUPERVISOR_INTRO = 'Ask me about agent performance, call trends, or campaign stats.';
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const parseAiResponse = (content: string): { message: string; suggestions: Suggestion[] } => {
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const trimmed = content.trim();
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try {
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const parsed = JSON.parse(trimmed);
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if (parsed.message) {
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return {
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message: parsed.message,
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suggestions: Array.isArray(parsed.suggestions) ? parsed.suggestions : [],
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};
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}
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} catch {}
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return { message: content, suggestions: [] };
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};
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export const AiChatPanel = ({ callerContext, callerSummary, onChatStart }: AiChatPanelProps) => {
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const { tokens } = useThemeTokens();
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const isSupervisor = callerContext?.type === 'supervisor';
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const quickActions = isSupervisor ? SUPERVISOR_QUICK_ACTIONS : tokens.ai.quickActions;
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const introText = isSupervisor ? SUPERVISOR_INTRO : 'Ask me about doctors, clinics, packages, or patient info.';
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const messagesEndRef = useRef<HTMLDivElement>(null);
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const chatStartedRef = useRef(false);
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const [suggestions, setSuggestions] = useState<Suggestion[]>([]);
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const token = localStorage.getItem('helix_access_token') ?? '';
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const { messages, input, handleSubmit, handleInputChange, isLoading, append, setMessages } = useChat({
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api: `${API_URL}/api/ai/stream`,
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streamProtocol: 'text',
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headers: { 'Authorization': `Bearer ${token}` },
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body: { context: callerContext },
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});
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useEffect(() => {
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if (isLoading) return;
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const lastAssistant = [...messages].reverse().find(m => m.role === 'assistant');
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if (lastAssistant) {
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const parsed = parseAiResponse(lastAssistant.content);
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if (parsed.suggestions.length > 0) {
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setSuggestions(parsed.suggestions);
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}
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}
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}, [messages, isLoading]);
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useEffect(() => {
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const el = messagesEndRef.current;
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if (el?.parentElement) {
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el.parentElement.scrollTop = el.parentElement.scrollHeight;
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}
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if (messages.length > 0 && !chatStartedRef.current) {
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chatStartedRef.current = true;
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onChatStart?.();
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}
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}, [messages, onChatStart]);
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const autoFiredForLeadRef = useRef<string | null>(null);
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useEffect(() => {
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const leadId = callerContext?.leadId ?? null;
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if (!leadId) {
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if (autoFiredForLeadRef.current !== null) {
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autoFiredForLeadRef.current = null;
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setMessages([]);
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setSuggestions([]);
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chatStartedRef.current = false;
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}
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return;
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}
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if (autoFiredForLeadRef.current === leadId) return;
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autoFiredForLeadRef.current = leadId;
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setMessages([]);
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setSuggestions([]);
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chatStartedRef.current = false;
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const name = callerContext?.leadName ?? 'this caller';
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append({
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role: 'user',
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content: `Give me a quick summary of ${name} and suggest relevant actions for this call.`,
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});
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}, [callerContext?.leadId, callerContext?.leadName, append, setMessages]);
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const handleQuickAction = (prompt: string) => {
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append({ role: 'user', content: prompt });
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};
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const handleTellMeMore = useCallback((suggestion: Suggestion) => {
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append({
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role: 'user',
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content: `Tell me more about "${suggestion.title}" — give me a detailed script and any relevant details.`,
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});
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}, [append]);
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// Filter out the currently-streaming assistant message (shows raw JSON).
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// Only display completed assistant messages with parsed content.
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const displayMessages = messages
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.filter((msg, i) => {
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if (msg.role === 'assistant' && isLoading && i === messages.length - 1) return false;
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return true;
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})
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.map(msg => {
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if (msg.role === 'assistant') {
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const parsed = parseAiResponse(msg.content);
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return { ...msg, content: parsed.message };
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}
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return msg;
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});
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return (
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<div className="flex h-full flex-col gap-2 p-3">
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{!isSupervisor && <AiSummaryCard caller={callerSummary ?? null} />}
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<div className="flex-1 space-y-3 overflow-y-auto min-h-0">
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{displayMessages.length === 0 && (
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<div className="flex flex-col items-center justify-center py-6 text-center">
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<FontAwesomeIcon icon={faSparkles} className="mb-2 size-6 text-fg-brand-primary" />
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<p className="text-xs text-tertiary">{introText}</p>
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<div className="mt-3 flex flex-wrap justify-center gap-1.5">
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{quickActions.map((action) => (
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<button
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key={action.label}
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onClick={() => handleQuickAction(action.prompt)}
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disabled={isLoading}
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className="rounded-lg border border-secondary bg-primary px-2.5 py-1.5 text-xs font-medium text-secondary transition duration-100 ease-linear hover:bg-secondary hover:text-primary disabled:opacity-50"
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>
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{action.label}
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</button>
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))}
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</div>
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</div>
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)}
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{displayMessages.map((msg) => (
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<div key={msg.id} className={`flex ${msg.role === 'user' ? 'justify-end' : 'justify-start'}`}>
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<div className={`max-w-[90%] rounded-xl px-3 py-2 text-xs leading-relaxed ${
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msg.role === 'user' ? 'bg-brand-solid text-white' : 'bg-secondary text-primary'
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}`}>
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{msg.role === 'assistant' && (
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<div className="mb-1 flex items-center gap-1">
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<FontAwesomeIcon icon={faSparkles} className="size-2.5 text-fg-brand-primary" />
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<span className="text-[10px] font-semibold uppercase tracking-wider text-brand-secondary">AI</span>
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</div>
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)}
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<MessageContent content={msg.content} />
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</div>
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</div>
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))}
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{isLoading && (
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<div className="flex justify-start">
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<div className="rounded-xl bg-secondary px-3 py-2">
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<div className="flex items-center gap-1">
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<span className="size-1.5 animate-bounce rounded-full bg-fg-quaternary [animation-delay:0ms]" />
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<span className="size-1.5 animate-bounce rounded-full bg-fg-quaternary [animation-delay:150ms]" />
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<span className="size-1.5 animate-bounce rounded-full bg-fg-quaternary [animation-delay:300ms]" />
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</div>
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</div>
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</div>
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)}
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<div ref={messagesEndRef} />
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</div>
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{!isSupervisor && suggestions.length > 0 && (
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<AiSuggestions suggestions={suggestions} onTellMeMore={handleTellMeMore} />
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)}
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<form onSubmit={handleSubmit} className="flex items-center gap-2 shrink-0">
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<div className="flex flex-1 items-center rounded-lg border border-secondary bg-primary shadow-xs transition duration-100 ease-linear focus-within:border-brand focus-within:ring-4 focus-within:ring-brand-100">
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<FontAwesomeIcon icon={faUserHeadset} className="ml-2.5 size-3.5 text-fg-quaternary" />
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<input
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type="text"
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value={input}
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onChange={handleInputChange}
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placeholder="Ask the AI assistant..."
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disabled={isLoading}
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className="flex-1 bg-transparent px-2 py-2 text-xs text-primary placeholder:text-placeholder outline-none disabled:cursor-not-allowed"
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/>
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</div>
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<button
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type="submit"
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disabled={isLoading || input.trim().length === 0}
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className="flex size-8 shrink-0 items-center justify-center rounded-lg bg-brand-solid text-white transition duration-100 ease-linear hover:bg-brand-solid_hover disabled:cursor-not-allowed disabled:bg-disabled"
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>
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<FontAwesomeIcon icon={faPaperPlaneTop} className="size-3.5" />
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</button>
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</form>
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</div>
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);
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};
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const parseLine = (text: string): ReactNode[] => {
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const parts: ReactNode[] = [];
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const boldPattern = /\*\*(.+?)\*\*/g;
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let lastIndex = 0;
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let match: RegExpExecArray | null;
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while ((match = boldPattern.exec(text)) !== null) {
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if (match.index > lastIndex) parts.push(text.slice(lastIndex, match.index));
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parts.push(<strong key={match.index} className="font-semibold">{match[1]}</strong>);
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lastIndex = boldPattern.lastIndex;
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}
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if (lastIndex < text.length) parts.push(text.slice(lastIndex));
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return parts.length > 0 ? parts : [text];
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};
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const MessageContent = ({ content }: { content: string }) => {
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if (!content) return null;
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const lines = content.split('\n');
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return (
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<div className="space-y-1">
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{lines.map((line, i) => {
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if (line.trim().length === 0) return <div key={i} className="h-1" />;
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if (line.trimStart().startsWith('- ')) {
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return (
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<div key={i} className="flex gap-1.5 pl-1">
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<span className="mt-1.5 size-1 shrink-0 rounded-full bg-fg-quaternary" />
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<span>{parseLine(line.replace(/^\s*-\s*/, ''))}</span>
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</div>
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);
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}
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return <p key={i}>{parseLine(line)}</p>;
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})}
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</div>
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);
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};
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