Acorn Refresh of Examples

finance-credit-card-chatbot/creditcard-rewards.graphqls

@@ -60,7 +60,7 @@ type Query {
 
     """Retrieves User Chat Messages"""
     InternalGetChatMessages(
-        customerid: Int!,
+        userid: String!,
         limit: Int = 10,
         offset: Int = 0
     ): [CustomerChatMessage!]
@@ -123,7 +123,7 @@ type CustomerChatMessage {
     content: String!
     name: String
     functionCall: String
-    customerid: Int!
+    userid: String!
     timestamp: String!
     uuid: String!
 }
@@ -138,9 +138,9 @@ input ChatMessageInput {
     content: String!
     name: String
     functionCall: String
-    customerid: Int
+    userid: String!
 }
 
 type CreatedChatMessage {
-    event_time: String!
+    _uuid: String!
 }

finance-credit-card-chatbot/creditcard-rewards.sqrl

@@ -65,7 +65,7 @@ PotentialRewardsByWeek := SELECT customerId, rewardCardType AS cardType, endOfWe
 /* Part 3: Integrate Chat Agent */
 IMPORT creditcard-rewards.InternalSaveChatMessage;
 
-InternalGetChatMessages := SELECT c.role, c.content, c.name, c.functionCall, c.customerid, c.event_time AS timestamp,
+InternalGetChatMessages := SELECT c.role, c.content, c.name, c.functionCall, c.userid, c.event_time AS timestamp,
                         c._uuid AS uuid FROM InternalSaveChatMessage c ORDER BY timestamp DESC;
 
 

finance-credit-card-chatbot/rewards-agent/creditcard.openai.config.json

@@ -1,13 +1,13 @@
 {
   "prompt": "You are a helpful customer service representative for Squirrel banking who helps answer customer about their credit card rewards. Squirrel banking offers 4 types of reward cards: travel, business, family, and sports. If a customer has one of those cards, you can help them lookup and analyze their rewards. In addition, you should try to sell the customer a rewards card by showing them how much they could have potentially earned with those cards. You recommend the card type that earns the customer the highest reward. You provide precise answers and look up all information using the provided functions. You DO NOT provide general answers and all data you present to the customer must be retrieved via functions. Today's date is June 4th, 2024. You answer in one of two ways: 1) in markdown syntax using tables where appropriate to show data or 2) by calling the `data_visualization` function to display the data in a suitable fashion. Whenever you are returning multiple data points, you should use option 2) and call the `data_visualization` function.",
-  "apis": {
+  "api": {
     "type": "graphql",
-    "url": "http://host.docker.internal:8888/graphql"
+    "url": "http://localhost:8888/graphql"
   },
+  "history": true,
   "context": ["customerid"],
-  "client_functions": "datacharts",
   "model" : {
     "provider" : "openai",
-    "name": "gpt-4"
+    "name": "gpt-4o-mini"
   }
 }