HelloAI function change to upgrade from text generation to chat

Author: mikarinneoracle

app-dev/devops-and-containers/functions/java-helloworld-AI-with-local-dev-and-oci-functions/pom.xml

@@ -44,22 +44,22 @@
         <dependency>
             <groupId>com.oracle.oci.sdk</groupId>
             <artifactId>oci-java-sdk-core</artifactId>
-            <version>3.37.2</version>
+            <version>3.50.2</version>
         </dependency>
         <dependency>
             <groupId>com.oracle.oci.sdk</groupId>
             <artifactId>oci-java-sdk-common</artifactId>
-            <version>3.37.2</version>
+            <version>3.50.2</version>
         </dependency>
         <dependency>
             <groupId>com.oracle.oci.sdk</groupId>
             <artifactId>oci-java-sdk-generativeai</artifactId>
-            <version>3.37.2</version>
+            <version>3.50.2</version>
         </dependency>
         <dependency>
             <groupId>com.oracle.oci.sdk</groupId>
             <artifactId>oci-java-sdk-generativeaiinference</artifactId>
-            <version>3.37.2</version>
+            <version>3.50.2</version>
         </dependency>
         <dependency>
             <groupId>com.oracle.oci.sdk</groupId>

app-dev/devops-and-containers/functions/java-helloworld-AI-with-local-dev-and-oci-functions/src/main/java/com/example/HelloAIFunction.java

@@ -1,6 +1,5 @@
 package com.example;
 
-
 import com.oracle.bmc.ClientConfiguration;
 import com.oracle.bmc.ConfigFileReader;
 import com.oracle.bmc.Region;
@@ -9,15 +8,21 @@
 import com.oracle.bmc.auth.StringPrivateKeySupplier;
 import com.oracle.bmc.auth.SimpleAuthenticationDetailsProvider;
 import com.oracle.bmc.generativeaiinference.GenerativeAiInferenceClient;
-import com.oracle.bmc.generativeaiinference.model.CohereLlmInferenceRequest;
+import com.oracle.bmc.generativeaiinference.model.ChatDetails;
+import com.oracle.bmc.generativeaiinference.model.CohereChatRequest;
+import com.oracle.bmc.generativeaiinference.model.CohereMessage;
 import com.oracle.bmc.generativeaiinference.model.DedicatedServingMode;
-import com.oracle.bmc.generativeaiinference.model.GenerateTextDetails;
-import com.oracle.bmc.generativeaiinference.model.LlamaLlmInferenceRequest;
+import com.oracle.bmc.generativeaiinference.requests.ChatRequest;
+import com.oracle.bmc.generativeaiinference.responses.ChatResponse;
+import com.oracle.bmc.generativeaiinference.model.BaseChatRequest.ApiFormat;
+import com.oracle.bmc.generativeaiinference.model.ChatChoice;
+import com.oracle.bmc.generativeaiinference.model.ChatContent;
+import com.oracle.bmc.generativeaiinference.model.ChatContent.Type;
+import com.oracle.bmc.generativeaiinference.model.ChatResult;
+import com.oracle.bmc.generativeaiinference.model.Message;
 import com.oracle.bmc.generativeaiinference.model.OnDemandServingMode;
-import com.oracle.bmc.generativeaiinference.model.SummarizeTextDetails;
-import com.oracle.bmc.generativeaiinference.requests.GenerateTextRequest;
-import com.oracle.bmc.generativeaiinference.requests.SummarizeTextRequest;
-import com.oracle.bmc.generativeaiinference.responses.GenerateTextResponse;
+import com.oracle.bmc.generativeaiinference.model.ServingMode;
+import com.oracle.bmc.generativeaiinference.model.TextContent;
 import com.oracle.bmc.retrier.RetryConfiguration;
 
 import java.io.*;
@@ -47,7 +52,6 @@ public String handleRequest(String input) {
             String currentDate = dateFormat. format(date);
             String questionToAI = (input == null || input.isEmpty()) ? "What happened today " + currentDate + " 100 years ago ?": input;
 
-            // OCI FUNCTION CONFIG VAR "AUTH_INSTANCE_PRINCIPAL" FOR INSTANCE_PRINCIPAL AUTH (ANY VALUE)
             if(System.getenv("AUTH_INSTANCE_PRINCIPAL") != null) {
                 System.out.println("AUTH_INSTANCE_PRINCIPAL");
                 ResourcePrincipalAuthenticationDetailsProvider resourcePrincipalAuthenticationDetailsProvider =
@@ -75,33 +79,31 @@ public String handleRequest(String input) {
                                 .build(authenticationDetailsProvider);
             }
 
-            CohereLlmInferenceRequest llmInferenceRequest =
-                    CohereLlmInferenceRequest.builder()
-                            .prompt(questionToAI)
-                            .maxTokens(600)
-                            .temperature((double)1)
-                            .frequencyPenalty((double)0)
-                            .topP((double)0.99)
-                            .isStream(false)
-                            .isEcho(false)
-                            .build();
+            CohereChatRequest chatRequest = CohereChatRequest.builder()
+                    .message(questionToAI)
+                    .maxTokens(600)
+                    .temperature((double)0)
+                    .frequencyPenalty((double)1)
+                    .topP((double)0.75)
+                    .topK((int)0)
+                    .isStream(false)
+                    .build();
 
-            GenerateTextDetails generateTextDetails = GenerateTextDetails.builder()
-                    .servingMode(OnDemandServingMode.builder()
-                            .modelId("ocid1.generativeaimodel.oc1.us-chicago-1.amaaaaaask7dceyafhwal37hxwylnpbcncidimbwteff4xha77n5xz4m7p6a").build())
+            ChatDetails chatDetails = ChatDetails.builder()
+                    .servingMode(OnDemandServingMode.builder().modelId("ocid1.generativeaimodel.oc1.eu-frankfurt-1.amaaaaaask7dceyazi3cpmptwa52f7dgwyskloughcxtjgrqre3pngwtig4q").build())
                     .compartmentId(COMPARTMENT_ID)
-                    .inferenceRequest(llmInferenceRequest)
+                    .chatRequest(chatRequest)
                     .build();
 
-            GenerateTextRequest generateTextRequest = GenerateTextRequest.builder()
-                    .generateTextDetails(generateTextDetails)
+            ChatRequest request = ChatRequest.builder()
+                    .chatDetails(chatDetails)
                     .build();
 
-            GenerateTextResponse generateTextResponse = generativeAiInferenceClient.generateText(generateTextRequest);
-            String answerAI = generateTextResponse.toString();
-            answerAI = answerAI.substring(answerAI.indexOf("text= ") + 6);
-            if(answerAI.indexOf(", likelihood") > 0) {
-                answerAI = answerAI.substring(0, answerAI.indexOf(", likelihood"));
+            ChatResponse chatResponse = generativeAiInferenceClient.chat(request);
+            String answerAI = chatResponse.toString();
+            answerAI = answerAI.substring(answerAI.indexOf("text=") + 5);
+            if(answerAI.indexOf(", chatHistory=") > 0) {
+                answerAI = answerAI.substring(0, answerAI.indexOf(", chatHistory="));
             }
             answer = questionToAI + "\n\n" + answerAI;