Examples updated with newer models

Author: peterbanda

openai-examples/src/main/scala/io/cequence/openaiscala/examples/adapters/ChatCompletionStreamedRouterWithFullServiceExample.scala

@@ -50,8 +50,7 @@ object ChatCompletionStreamedRouterWithFullServiceExample
         octoMLService -> Seq(NonOpenAIModelId.mixtral_8x7b_instruct),
         ollamaService -> Seq(NonOpenAIModelId.llama2),
         anthropicService -> Seq(
-          NonOpenAIModelId.claude_2_1,
-          NonOpenAIModelId.claude_3_haiku_20240307
+          NonOpenAIModelId.claude_3_5_haiku_20241022
         )
       ),
       defaultService = openAIService
@@ -75,10 +74,10 @@ object ChatCompletionStreamedRouterWithFullServiceExample
       _ <- runChatCompletionAux(NonOpenAIModelId.llama2)
 
       // runs on Anthropic
-      _ <- runChatCompletionAux(NonOpenAIModelId.claude_3_haiku_20240307)
+      _ <- runChatCompletionAux(NonOpenAIModelId.claude_3_5_haiku_20241022)
 
       // runs on OpenAI
-      _ <- runChatCompletionAux(ModelId.gpt_3_5_turbo)
+      _ <- runChatCompletionAux(ModelId.gpt_4o)
 
       // runs on OpenAI (non-chat-completion function)
       _ <- service.listModels.map(_.foreach(println))

openai-examples/src/main/scala/io/cequence/openaiscala/examples/adapters/ChatCompletionStreamedRouterWithMappedModelsExample.scala

@@ -74,7 +74,7 @@ object ChatCompletionStreamedRouterWithMappedModelsExample
       _ <- runChatCompletionAux("ollama-" + NonOpenAIModelId.llama2)
 
       // runs on OpenAI
-      _ <- runChatCompletionAux(ModelId.gpt_3_5_turbo)
+      _ <- runChatCompletionAux(ModelId.gpt_4o)
     } yield ()
 
   private def runChatCompletionAux(model: String) = {

openai-examples/src/main/scala/io/cequence/openaiscala/examples/adapters/RandomOrderAdapterExample.scala

@@ -30,7 +30,7 @@ object RandomOrderAdapterExample extends ExampleBase[OpenAIService] {
 
   private val repetitions = 10
   private val parallelism = 1
-  private val modelId = ModelId.gpt_3_5_turbo
+  private val modelId = ModelId.gpt_4o
 
   private val messages = Seq(
     SystemMessage("You are a helpful assistant."),

openai-examples/src/main/scala/io/cequence/openaiscala/examples/adapters/RetryAdapterExample.scala

@@ -27,10 +27,10 @@ object RetryAdapterExample extends ExampleBase[OpenAIService] {
     () => Future(throw new OpenAIScalaClientTimeoutException("Fake timeout"))
   )
 
-  // we then map the failing service to a specific model - gpt-3.5-turbo-1106
+  // we then map the failing service to a specific model - gpt_4o
   // for all other models we use the regular service
   private val mergedService = adapters.chatCompletionRouter(
-    serviceModels = Map(failingService -> Seq(ModelId.gpt_3_5_turbo_1106)),
+    serviceModels = Map(failingService -> Seq(ModelId.gpt_4o)),
     regularService
   )
 
@@ -48,13 +48,12 @@ object RetryAdapterExample extends ExampleBase[OpenAIService] {
   override protected def run: Future[_] =
     for {
       // this invokes the failing service, which triggers the retry mechanism
-      _ <- runChatCompletionAux(ModelId.gpt_3_5_turbo_1106).recover {
-        case e: OpenAIScalaClientException =>
-          println(s"Too many retries, giving up on '${e.getMessage}'")
+      _ <- runChatCompletionAux(ModelId.gpt_4o).recover { case e: OpenAIScalaClientException =>
+        println(s"Too many retries, giving up on '${e.getMessage}'")
       }
 
       // should complete without retry
-      _ <- runChatCompletionAux(ModelId.gpt_3_5_turbo_0125)
+      _ <- runChatCompletionAux(ModelId.o3_mini)
     } yield ()
 
   private def runChatCompletionAux(model: String) = {

openai-examples/src/main/scala/io/cequence/openaiscala/examples/adapters/RoundRobinAdapterExample.scala

@@ -35,10 +35,10 @@ object RoundRobinAdapterExample extends ExampleBase[OpenAIService] {
   override protected def run: Future[_] =
     for {
       // runs on the first service
-      _ <- runChatCompletionAux(ModelId.gpt_3_5_turbo)
+      _ <- runChatCompletionAux(ModelId.gpt_4o)
 
       // runs on the second service
-      _ <- runChatCompletionAux(ModelId.gpt_3_5_turbo)
+      _ <- runChatCompletionAux(ModelId.gpt_4o)
     } yield ()
 
   private def runChatCompletionAux(model: String) = {