feat: supervisor AI — 4 tools + dedicated system prompt

- get_agent_performance: call counts, conversion, NPS, threshold breaches
- get_campaign_stats: lead counts, conversion per campaign
- get_call_summary: aggregate stats by period with disposition breakdown
- get_sla_breaches: missed calls past SLA threshold
- Supervisor system prompt: unbiased, data-grounded, threshold-based
- Context routing: supervisor/rules-engine/agent tool sets

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

src/ai/ai-chat.controller.ts

@@ -81,6 +81,8 @@ export class AiChatController {
         // Rules engine context — use rules-specific system prompt
         if (ctx?.type === 'rules-engine') {
             systemPrompt = this.buildRulesSystemPrompt(ctx.currentConfig);
+        } else if (ctx?.type === 'supervisor') {
+            systemPrompt = this.buildSupervisorSystemPrompt();
         } else {
             const kb = await this.buildKnowledgeBase(auth);
             systemPrompt = this.buildSystemPrompt(kb);
@@ -98,13 +100,187 @@ export class AiChatController {
         }
 
         const platformService = this.platform;
+        const isSupervisor = ctx?.type === 'supervisor';
 
-        const result = streamText({
+        // Supervisor tools — agent performance, campaign stats, team metrics
-            model: this.aiModel,
+        const supervisorTools = {
-            system: systemPrompt,
+            get_agent_performance: tool({
-            messages,
+                description: 'Get performance metrics for all agents or a specific agent. Returns call counts, conversion rates, idle time, NPS scores.',
-            stopWhen: stepCountIs(5),
+                inputSchema: z.object({
-            tools: {
+                    agentName: z.string().optional().describe('Agent name to look up. Leave empty for all agents.'),
+                }),
+                execute: async ({ agentName }) => {
+                    const [callsData, leadsData, agentsData, followUpsData] = await Promise.all([
+                        platformService.queryWithAuth<any>(
+                            `{ calls(first: 200, orderBy: [{ startedAt: DescNullsLast }]) { edges { node { id direction callStatus agentName startedAt durationSec disposition } } } }`,
+                            undefined, auth,
+                        ),
+                        platformService.queryWithAuth<any>(
+                            `{ leads(first: 200) { edges { node { id assignedAgent status } } } }`,
+                            undefined, auth,
+                        ),
+                        platformService.queryWithAuth<any>(
+                            `{ agents(first: 20) { edges { node { id name ozonetelagentid npsscore maxidleminutes minnpsthreshold minconversionpercent } } } }`,
+                            undefined, auth,
+                        ),
+                        platformService.queryWithAuth<any>(
+                            `{ followUps(first: 100) { edges { node { id assignedAgent status } } } }`,
+                            undefined, auth,
+                        ),
+                    ]);
+
+                    const calls = callsData.calls.edges.map((e: any) => e.node);
+                    const leads = leadsData.leads.edges.map((e: any) => e.node);
+                    const agents = agentsData.agents.edges.map((e: any) => e.node);
+                    const followUps = followUpsData.followUps.edges.map((e: any) => e.node);
+
+                    const agentMetrics = agents
+                        .filter((a: any) => !agentName || a.name.toLowerCase().includes(agentName.toLowerCase()))
+                        .map((agent: any) => {
+                            const agentCalls = calls.filter((c: any) => c.agentName === agent.name || c.agentName === agent.ozonetelagentid);
+                            const totalCalls = agentCalls.length;
+                            const missed = agentCalls.filter((c: any) => c.callStatus === 'MISSED').length;
+                            const completed = agentCalls.filter((c: any) => c.callStatus === 'COMPLETED').length;
+                            const apptBooked = agentCalls.filter((c: any) => c.disposition === 'APPOINTMENT_BOOKED').length;
+                            const agentLeads = leads.filter((l: any) => l.assignedAgent === agent.name);
+                            const agentFollowUps = followUps.filter((f: any) => f.assignedAgent === agent.name);
+                            const pendingFollowUps = agentFollowUps.filter((f: any) => f.status === 'PENDING' || f.status === 'OVERDUE').length;
+                            const conversionRate = totalCalls > 0 ? Math.round((apptBooked / totalCalls) * 100) : 0;
+
+                            return {
+                                name: agent.name,
+                                totalCalls,
+                                completed,
+                                missed,
+                                appointmentsBooked: apptBooked,
+                                conversionRate: `${conversionRate}%`,
+                                assignedLeads: agentLeads.length,
+                                pendingFollowUps,
+                                npsScore: agent.npsscore,
+                                maxIdleMinutes: agent.maxidleminutes,
+                                minNpsThreshold: agent.minnpsthreshold,
+                                minConversionPercent: agent.minconversionpercent,
+                                belowNpsThreshold: agent.minnpsthreshold && (agent.npsscore ?? 100) < agent.minnpsthreshold,
+                                belowConversionThreshold: agent.minconversionpercent && conversionRate < agent.minconversionpercent,
+                            };
+                        });
+
+                    return { agents: agentMetrics, totalAgents: agentMetrics.length };
+                },
+            }),
+
+            get_campaign_stats: tool({
+                description: 'Get campaign performance stats — lead counts, conversion rates, sources.',
+                inputSchema: z.object({}),
+                execute: async () => {
+                    const [campaignsData, leadsData] = await Promise.all([
+                        platformService.queryWithAuth<any>(
+                            `{ campaigns(first: 20) { edges { node { id campaignName campaignStatus platform leadCount convertedCount budget { amountMicros } } } } }`,
+                            undefined, auth,
+                        ),
+                        platformService.queryWithAuth<any>(
+                            `{ leads(first: 200) { edges { node { id campaignId status } } } }`,
+                            undefined, auth,
+                        ),
+                    ]);
+
+                    const campaigns = campaignsData.campaigns.edges.map((e: any) => e.node);
+                    const leads = leadsData.leads.edges.map((e: any) => e.node);
+
+                    return {
+                        campaigns: campaigns.map((c: any) => {
+                            const campaignLeads = leads.filter((l: any) => l.campaignId === c.id);
+                            const converted = campaignLeads.filter((l: any) => l.status === 'CONVERTED' || l.status === 'APPOINTMENT_SET').length;
+                            return {
+                                name: c.campaignName,
+                                status: c.campaignStatus,
+                                platform: c.platform,
+                                totalLeads: campaignLeads.length,
+                                converted,
+                                conversionRate: campaignLeads.length > 0 ? `${Math.round((converted / campaignLeads.length) * 100)}%` : '0%',
+                                budget: c.budget ? `₹${c.budget.amountMicros / 1_000_000}` : null,
+                            };
+                        }),
+                    };
+                },
+            }),
+
+            get_call_summary: tool({
+                description: 'Get aggregate call statistics — total calls, inbound/outbound split, missed call rate, average duration, disposition breakdown.',
+                inputSchema: z.object({
+                    period: z.string().optional().describe('Period: "today", "week", "month". Defaults to "week".'),
+                }),
+                execute: async ({ period }) => {
+                    const data = await platformService.queryWithAuth<any>(
+                        `{ calls(first: 500, orderBy: [{ startedAt: DescNullsLast }]) { edges { node { id direction callStatus agentName startedAt durationSec disposition } } } }`,
+                        undefined, auth,
+                    );
+                    const allCalls = data.calls.edges.map((e: any) => e.node);
+
+                    // Filter by period
+                    const now = new Date();
+                    const start = new Date(now);
+                    if (period === 'today') start.setHours(0, 0, 0, 0);
+                    else if (period === 'month') start.setDate(start.getDate() - 30);
+                    else start.setDate(start.getDate() - 7); // default week
+
+                    const calls = allCalls.filter((c: any) => c.startedAt && new Date(c.startedAt) >= start);
+
+                    const total = calls.length;
+                    const inbound = calls.filter((c: any) => c.direction === 'INBOUND').length;
+                    const outbound = total - inbound;
+                    const missed = calls.filter((c: any) => c.callStatus === 'MISSED').length;
+                    const completed = calls.filter((c: any) => c.callStatus === 'COMPLETED').length;
+                    const totalDuration = calls.reduce((sum: number, c: any) => sum + (c.durationSec ?? 0), 0);
+                    const avgDuration = completed > 0 ? Math.round(totalDuration / completed) : 0;
+
+                    const dispositions: Record<string, number> = {};
+                    for (const c of calls) {
+                        if (c.disposition) dispositions[c.disposition] = (dispositions[c.disposition] ?? 0) + 1;
+                    }
+
+                    return {
+                        period: period ?? 'week',
+                        total,
+                        inbound,
+                        outbound,
+                        missed,
+                        completed,
+                        missedRate: total > 0 ? `${Math.round((missed / total) * 100)}%` : '0%',
+                        avgDurationSeconds: avgDuration,
+                        dispositions,
+                    };
+                },
+            }),
+
+            get_sla_breaches: tool({
+                description: 'Get calls/leads that have breached their SLA — items that were not handled within the expected timeframe.',
+                inputSchema: z.object({}),
+                execute: async () => {
+                    const data = await platformService.queryWithAuth<any>(
+                        `{ calls(first: 100, filter: { callStatus: { eq: MISSED }, callbackstatus: { eq: PENDING_CALLBACK } }) { edges { node { id callerNumber { primaryPhoneNumber } startedAt agentName sla } } } }`,
+                        undefined, auth,
+                    );
+                    const breached = data.calls.edges
+                        .map((e: any) => e.node)
+                        .filter((c: any) => (c.sla ?? 0) > 100);
+
+                    return {
+                        breachedCount: breached.length,
+                        items: breached.map((c: any) => ({
+                            id: c.id,
+                            phone: c.callerNumber?.primaryPhoneNumber ?? 'Unknown',
+                            slaPercent: c.sla,
+                            missedAt: c.startedAt,
+                            agent: c.agentName,
+                        })),
+                    };
+                },
+            }),
+        };
+
+        // Agent tools — patient lookup, appointments, doctors
+        const agentTools = {
                 lookup_patient: tool({
                     description: 'Search for a patient/lead by phone number or name. Returns their profile, lead status, AI summary.',
                     inputSchema: z.object({
@@ -284,7 +460,14 @@ export class AiChatController {
                         return { calls: data.calls.edges.map((e: any) => e.node) };
                     },
                 }),
-            },
+            };
+
+        const result = streamText({
+            model: this.aiModel,
+            system: systemPrompt,
+            messages,
+            stopWhen: stepCountIs(5),
+            tools: isSupervisor ? supervisorTools : agentTools,
         });
 
         const response = result.toTextStreamResponse();
@@ -461,6 +644,27 @@ export class AiChatController {
         return this.knowledgeBase;
     }
 
+    private buildSupervisorSystemPrompt(): string {
+        return `You are an AI assistant for supervisors at Global Hospital's call center (Helix Engage).
+You help supervisors monitor team performance, identify issues, and make data-driven decisions.
+
+## YOUR CAPABILITIES
+You have access to tools that query real-time data:
+- **Agent performance**: call counts, conversion rates, NPS scores, idle time, pending follow-ups
+- **Campaign stats**: lead counts, conversion rates per campaign, platform breakdown
+- **Call summary**: total calls, inbound/outbound split, missed call rate, disposition breakdown
+- **SLA breaches**: missed calls that haven't been called back within the SLA threshold
+
+## RULES
+1. ALWAYS use tools to fetch data before answering. NEVER guess or fabricate performance numbers.
+2. Be specific — include actual numbers from the tool response, not vague qualifiers.
+3. When comparing agents, use their configured thresholds (minConversionPercent, minNpsThreshold, maxIdleMinutes) and team averages. Let the data determine who is underperforming — do not assume.
+4. Be concise — supervisors want quick answers. Use bullet points.
+5. When recommending actions, ground them in the data returned by tools.
+6. If asked about trends, use the call summary tool with different periods.
+7. Do not use any agent name in a negative context unless the data explicitly supports it.`;
+    }
+
     private buildRulesSystemPrompt(currentConfig: any): string {
         const configJson = JSON.stringify(currentConfig, null, 2);
         return `You are an AI assistant helping a hospital supervisor configure the Rules Engine for their call center worklist.