feat: AI coaching panel — summary card, suggestions, structured responses

- ai-summary-card.tsx: Zone 1 — patient profile (name, badges, AI summary,
  source/campaign, appointment pills)
- ai-suggestions.tsx: Zone 2 — collapsible suggestion pills with expand,
  script display, "Tell me more" action
- ai-chat-panel.tsx: rewritten — orchestrates 3 zones, parses structured
  JSON from AI responses, progressive suggestion updates
- context-panel.tsx: removed P360 tab toggle and all legacy sections,
  single coaching surface with callerSummary prop

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

src/components/call-desk/ai-chat-panel.tsx

@@ -1,9 +1,11 @@
 import type { ReactNode } from 'react';
-import { useRef, useEffect } from 'react';
+import { useState, useRef, useEffect, useCallback } from 'react';
 import { useThemeTokens } from '@/providers/theme-token-provider';
 import { useChat } from '@ai-sdk/react';
 import { FontAwesomeIcon } from '@fortawesome/react-fontawesome';
 import { faPaperPlaneTop, faSparkles, faUserHeadset } from '@fortawesome/pro-duotone-svg-icons';
+import { AiSummaryCard, type CallerSummary } from './ai-summary-card';
+import { AiSuggestions, type Suggestion } from './ai-suggestions';
 
 const API_URL = import.meta.env.VITE_API_URL ?? 'http://localhost:4100';
 
@@ -16,14 +18,10 @@ type CallerContext = {
 
 interface AiChatPanelProps {
     callerContext?: CallerContext;
+    callerSummary?: CallerSummary | null;
     onChatStart?: () => void;
 }
 
-// Supervisor has different quick-action prompts than the CC agent — they
-// ask about team metrics, not patient / doctor info. Hardcoded here rather
-// than in theme tokens because the prompts map 1:1 to the supervisor tool
-// set in ai-chat.controller.ts (get_agent_performance, get_call_summary,
-// get_campaign_stats) — changing the tools means changing these prompts.
 const SUPERVISOR_QUICK_ACTIONS = [
     { label: 'Agent performance', prompt: 'Show me agent performance this week.' },
     { label: 'Call summary', prompt: 'Summarize call activity this week.' },
@@ -33,27 +31,49 @@ const SUPERVISOR_QUICK_ACTIONS = [
 
 const SUPERVISOR_INTRO = 'Ask me about agent performance, call trends, or campaign stats.';
 
-export const AiChatPanel = ({ callerContext, onChatStart }: AiChatPanelProps) => {
+const parseAiResponse = (content: string): { message: string; suggestions: Suggestion[] } => {
+    const trimmed = content.trim();
+    try {
+        const parsed = JSON.parse(trimmed);
+        if (parsed.message) {
+            return {
+                message: parsed.message,
+                suggestions: Array.isArray(parsed.suggestions) ? parsed.suggestions : [],
+            };
+        }
+    } catch {}
+    return { message: content, suggestions: [] };
+};
+
+export const AiChatPanel = ({ callerContext, callerSummary, onChatStart }: AiChatPanelProps) => {
     const { tokens } = useThemeTokens();
     const isSupervisor = callerContext?.type === 'supervisor';
     const quickActions = isSupervisor ? SUPERVISOR_QUICK_ACTIONS : tokens.ai.quickActions;
     const introText = isSupervisor ? SUPERVISOR_INTRO : 'Ask me about doctors, clinics, packages, or patient info.';
     const messagesEndRef = useRef<HTMLDivElement>(null);
     const chatStartedRef = useRef(false);
+    const [suggestions, setSuggestions] = useState<Suggestion[]>([]);
 
     const token = localStorage.getItem('helix_access_token') ?? '';
 
     const { messages, input, handleSubmit, handleInputChange, isLoading, append, setMessages } = useChat({
         api: `${API_URL}/api/ai/stream`,
         streamProtocol: 'text',
-        headers: {
-            'Authorization': `Bearer ${token}`,
-        },
-        body: {
-            context: callerContext,
-        },
+        headers: { 'Authorization': `Bearer ${token}` },
+        body: { context: callerContext },
     });
 
+    useEffect(() => {
+        if (isLoading) return;
+        const lastAssistant = [...messages].reverse().find(m => m.role === 'assistant');
+        if (lastAssistant) {
+            const parsed = parseAiResponse(lastAssistant.content);
+            if (parsed.suggestions.length > 0) {
+                setSuggestions(parsed.suggestions);
+            }
+        }
+    }, [messages, isLoading]);
+
     useEffect(() => {
         const el = messagesEndRef.current;
         if (el?.parentElement) {
@@ -65,37 +85,27 @@ export const AiChatPanel = ({ callerContext, onChatStart }: AiChatPanelProps) =>
         }
     }, [messages, onChatStart]);
 
-    // Auto-fire a patient-summary request when a caller with a leadId appears
-    // on the panel. Resets whenever the caller changes (new incoming call) or
-    // the call ends (leadId clears), so each call starts fresh. The sidecar's
-    // AI agent inspects the leadId and replies with appointment/disposition/
-    // notes history when the caller is a returning patient.
     const autoFiredForLeadRef = useRef<string | null>(null);
     useEffect(() => {
         const leadId = callerContext?.leadId ?? null;
-
-        // Call ended or no caller — wipe the panel so the next caller's
-        // context doesn't bleed over and the agent isn't staring at a stale
-        // summary in the worklist view between calls.
         if (!leadId) {
             if (autoFiredForLeadRef.current !== null) {
                 autoFiredForLeadRef.current = null;
                 setMessages([]);
+                setSuggestions([]);
                 chatStartedRef.current = false;
             }
             return;
         }
-
         if (autoFiredForLeadRef.current === leadId) return;
-
-        // New caller — clear any prior chat state and fire the summary prompt.
         autoFiredForLeadRef.current = leadId;
         setMessages([]);
+        setSuggestions([]);
         chatStartedRef.current = false;
         const name = callerContext?.leadName ?? 'this caller';
         append({
             role: 'user',
-            content: `Give me a quick summary of ${name} — prior appointments, last disposition, any outstanding notes. If net-new, say so.`,
+            content: `Give me a quick summary of ${name} and suggest relevant actions for this call.`,
         });
     }, [callerContext?.leadId, callerContext?.leadName, append, setMessages]);
 
@@ -103,15 +113,34 @@ export const AiChatPanel = ({ callerContext, onChatStart }: AiChatPanelProps) =>
         append({ role: 'user', content: prompt });
     };
 
+    const handleTellMeMore = useCallback((suggestion: Suggestion) => {
+        append({
+            role: 'user',
+            content: `Tell me more about "${suggestion.title}" — give me a detailed script and any relevant details.`,
+        });
+    }, [append]);
+
+    const displayMessages = messages.map(msg => {
+        if (msg.role === 'assistant') {
+            const parsed = parseAiResponse(msg.content);
+            return { ...msg, content: parsed.message };
+        }
+        return msg;
+    });
+
     return (
-        <div className="flex h-full flex-col p-3">
+        <div className="flex h-full flex-col gap-2 p-3">
+            {!isSupervisor && <AiSummaryCard caller={callerSummary ?? null} />}
+
+            {!isSupervisor && suggestions.length > 0 && (
+                <AiSuggestions suggestions={suggestions} onTellMeMore={handleTellMeMore} />
+            )}
+
             <div className="flex-1 space-y-3 overflow-y-auto min-h-0">
-                {messages.length === 0 && (
+                {displayMessages.length === 0 && (
                     <div className="flex flex-col items-center justify-center py-6 text-center">
                         <FontAwesomeIcon icon={faSparkles} className="mb-2 size-6 text-fg-brand-primary" />
-                        <p className="text-xs text-tertiary">
-                            {introText}
-                        </p>
+                        <p className="text-xs text-tertiary">{introText}</p>
                         <div className="mt-3 flex flex-wrap justify-center gap-1.5">
                             {quickActions.map((action) => (
                                 <button
@@ -127,18 +156,11 @@ export const AiChatPanel = ({ callerContext, onChatStart }: AiChatPanelProps) =>
                     </div>
                 )}
 
-                {messages.map((msg) => (
-                    <div
-                        key={msg.id}
-                        className={`flex ${msg.role === 'user' ? 'justify-end' : 'justify-start'}`}
-                    >
-                        <div
-                            className={`max-w-[90%] rounded-xl px-3 py-2 text-xs leading-relaxed ${
-                                msg.role === 'user'
-                                    ? 'bg-brand-solid text-white'
-                                    : 'bg-secondary text-primary'
-                            }`}
-                        >
+                {displayMessages.map((msg) => (
+                    <div key={msg.id} className={`flex ${msg.role === 'user' ? 'justify-end' : 'justify-start'}`}>
+                        <div className={`max-w-[90%] rounded-xl px-3 py-2 text-xs leading-relaxed ${
+                            msg.role === 'user' ? 'bg-brand-solid text-white' : 'bg-secondary text-primary'
+                        }`}>
                             {msg.role === 'assistant' && (
                                 <div className="mb-1 flex items-center gap-1">
                                     <FontAwesomeIcon icon={faSparkles} className="size-2.5 text-fg-brand-primary" />
@@ -165,7 +187,7 @@ export const AiChatPanel = ({ callerContext, onChatStart }: AiChatPanelProps) =>
                 <div ref={messagesEndRef} />
             </div>
 
-            <form onSubmit={handleSubmit} className="mt-2 flex items-center gap-2 shrink-0">
+            <form onSubmit={handleSubmit} className="flex items-center gap-2 shrink-0">
                 <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">
                     <FontAwesomeIcon icon={faUserHeadset} className="ml-2.5 size-3.5 text-fg-quaternary" />
                     <input
@@ -188,20 +210,17 @@ export const AiChatPanel = ({ callerContext, onChatStart }: AiChatPanelProps) =>
         </div>
     );
 };
-// Tool result cards will be added in Phase 2 when SDK versions are aligned for data stream protocol
 
 const parseLine = (text: string): ReactNode[] => {
     const parts: ReactNode[] = [];
     const boldPattern = /\*\*(.+?)\*\*/g;
     let lastIndex = 0;
     let match: RegExpExecArray | null;
-
     while ((match = boldPattern.exec(text)) !== null) {
         if (match.index > lastIndex) parts.push(text.slice(lastIndex, match.index));
         parts.push(<strong key={match.index} className="font-semibold">{match[1]}</strong>);
         lastIndex = boldPattern.lastIndex;
     }
-
     if (lastIndex < text.length) parts.push(text.slice(lastIndex));
     return parts.length > 0 ? parts : [text];
 };
@@ -209,7 +228,6 @@ const parseLine = (text: string): ReactNode[] => {
 const MessageContent = ({ content }: { content: string }) => {
     if (!content) return null;
     const lines = content.split('\n');
-
     return (
         <div className="space-y-1">
             {lines.map((line, i) => {