feat: Add Claude LLM support via Anthropic API and Infisical

agents/k8s/trip-service-deployment.yaml

@@ -62,6 +62,11 @@ spec:
               value: "+14085505485"
             - name: GROUP_URL
               value: "https://chat.whatsapp.com/0Txfg7iZBbvIuvTbTqqgAX"
+            - name: ANTHROPIC_API_KEY
+              valueFrom:
+                secretKeyRef:
+                  name: trip-service-anthropic
+                  key: api_key
           volumeMounts:
             - name: app-volume
               mountPath: /app

agents/k8s/trip-service-externalsecrets.yaml

@@ -0,0 +1,20 @@
+---
+apiVersion: external-secrets.io/v1beta1
+kind: ExternalSecret
+metadata:
+  name: trip-service-anthropic
+  namespace: ai-agents
+  annotations:
+    argocd.argoproj.io/sync-wave: "-1"
+spec:
+  refreshInterval: 1h
+  secretStoreRef:
+    name: infisical
+    kind: ClusterSecretStore
+  target:
+    name: trip-service-anthropic
+    creationPolicy: Owner
+  data:
+    - secretKey: api_key
+      remoteRef:
+        key: ANTHROPIC_API_KEY

trip-service/server.js

@@ -88,9 +88,45 @@ async function getTdotTraffic() {
   }
 }
 
-async function getAiInsight(activityDetails, location, modelName = 'qwen2.5:0.5b') {
+async function getAiInsight(activityDetails, location, trip) {
   return new Promise((resolve) => {
     const prompt = `Provide one short, clever tip or insight for someone visiting ${location} today, doing: ${activityDetails}. Keep it under 2 sentences.`;
+    
+    if (trip && trip.llmProvider === 'anthropic') {
+      const modelName = trip.llmModel || 'claude-3-5-sonnet-20240620';
+      const body = JSON.stringify({
+        model: modelName,
+        max_tokens: 150,
+        messages: [{ role: 'user', content: prompt }]
+      });
+      
+      const req = https.request({
+        hostname: 'api.anthropic.com',
+        path: '/v1/messages',
+        method: 'POST',
+        headers: {
+          'Content-Type': 'application/json',
+          'x-api-key': process.env.ANTHROPIC_API_KEY,
+          'anthropic-version': '2023-06-01',
+          'Content-Length': Buffer.byteLength(body)
+        }
+      }, (res) => {
+        let d = '';
+        res.on('data', c => d += c);
+        res.on('end', () => {
+          try {
+            const data = JSON.parse(d);
+            resolve(data.content[0].text.trim());
+          } catch { resolve('Have a great trip!'); }
+        });
+      });
+      req.on('error', () => resolve('Have a great trip!'));
+      req.write(body);
+      req.end();
+
+    } else {
+      // Default to Ollama
+      const modelName = trip ? (trip.llmModel || 'qwen2.5:0.5b') : 'qwen2.5:0.5b';
       const body = JSON.stringify({ model: modelName, prompt, stream: false });
       const url = new URL(OLLAMA_URL);
       const req = http.request({
@@ -106,6 +142,7 @@ async function getAiInsight(activityDetails, location, modelName = 'qwen2.5:0.5b
       req.on('error', () => resolve('Have a great trip!'));
       req.write(body);
       req.end();
+    }
   });
 }
 
@@ -118,22 +155,9 @@ Date: ${date}
 
 Return ONLY a JSON array of objects. Each object must have "time" (in 24-hour HH:mm format) and "message" (a short, fun 1-sentence reminder). Estimate reasonable times if none are given (e.g. breakfast 8:00, lunch 12:30, dinner 18:30). DO NOT output any markdown or conversational text.`;
 
-    const modelName = trip.llmModel || 'qwen2.5:0.5b';
+    const handleResponse = (d) => {
-    // Support future providers via trip.llmProvider
-    // Defaulting to Ollama for now
-    const body = JSON.stringify({ model: modelName, prompt, stream: false });
-    const url = new URL(OLLAMA_URL);
-    
-    const req = http.request({
-      hostname: url.hostname, port: url.port, path: url.pathname, method: 'POST',
-      headers: { 'Content-Type': 'application/json', 'Content-Length': Buffer.byteLength(body) }
-    }, (res) => {
-      let d = '';
-      res.on('data', c => d += c);
-      res.on('end', () => {
       try {
-          const raw = JSON.parse(d).response;
+        const raw = d;
-          // Extract JSON array using regex in case of conversational wrapper
         const match = raw.match(/\[[\s\S]*\]/);
         if (match) {
           resolve(JSON.parse(match[0]));
@@ -144,11 +168,60 @@ Return ONLY a JSON array of objects. Each object must have "time" (in 24-hour HH
         console.error('[TripService] AI Schedule parsing failed:', e.message);
         resolve([]);
       }
+    };
+
+    if (trip && trip.llmProvider === 'anthropic') {
+      const modelName = trip.llmModel || 'claude-3-5-sonnet-20240620';
+      const body = JSON.stringify({
+        model: modelName,
+        max_tokens: 300,
+        messages: [{ role: 'user', content: prompt }]
+      });
+      const req = https.request({
+        hostname: 'api.anthropic.com',
+        path: '/v1/messages',
+        method: 'POST',
+        headers: {
+          'Content-Type': 'application/json',
+          'x-api-key': process.env.ANTHROPIC_API_KEY,
+          'anthropic-version': '2023-06-01',
+          'Content-Length': Buffer.byteLength(body)
+        }
+      }, (res) => {
+        let d = '';
+        res.on('data', c => d += c);
+        res.on('end', () => {
+          try {
+            const data = JSON.parse(d);
+            handleResponse(data.content[0].text);
+          } catch { resolve([]); }
         });
       });
       req.on('error', () => resolve([]));
       req.write(body);
       req.end();
+
+    } else {
+      // Default to Ollama
+      const modelName = trip.llmModel || 'qwen2.5:0.5b';
+      const body = JSON.stringify({ model: modelName, prompt, stream: false });
+      const url = new URL(OLLAMA_URL);
+      const req = http.request({
+        hostname: url.hostname, port: url.port, path: url.pathname, method: 'POST',
+        headers: { 'Content-Type': 'application/json', 'Content-Length': Buffer.byteLength(body) }
+      }, (res) => {
+        let d = '';
+        res.on('data', c => d += c);
+        res.on('end', () => {
+          try {
+            handleResponse(JSON.parse(d).response);
+          } catch { resolve([]); }
+        });
+      });
+      req.on('error', () => resolve([]));
+      req.write(body);
+      req.end();
+    }
   });
 }
 
@@ -218,7 +291,7 @@ async function generateAndSendBriefing(trip, dayPlan) {
   const weather = await getWeather(dayPlan.location || 'Pigeon Forge, TN');
   const nps = await getNpsAlerts(trip.npsParkCode);
   const traffic = await getTdotTraffic();
-  const insight = await getAiInsight(dayPlan.activities, dayPlan.location || 'Smoky Mountains', trip.llmModel);
+  const insight = await getAiInsight(dayPlan.activities, dayPlan.location || 'Smoky Mountains', trip);
 
   const message = `*🏕️ ${trip.name} - ${dayPlan.date} Briefing*\n\n` +
     `*🌤️ Weather (${dayPlan.location || 'Pigeon Forge'}):* ${weather}\n\n` +