Change Azure embedding and chat options 'model' property to 'deployme…

…nt-name'

* Azure uses 'deployment-name' when provisioning models and is what needs to
  be passed in to the client, not the model name.
  This is a difference with the OpenAI API that doesn't have a deployment-name
  This change aligns the terminology used with Azure so that there is
  less confusion when setting configuration property values

Fixes #10

models/spring-ai-azure-openai/src/main/java/org/springframework/ai/azure/openai/AzureOpenAiChatClient.java

@@ -75,7 +75,7 @@ public class AzureOpenAiChatClient
 		extends AbstractFunctionCallSupport<ChatRequestMessage, ChatCompletionsOptions, ChatCompletions>
 		implements ChatClient, StreamingChatClient {
 
-	private static final String DEFAULT_MODEL = "gpt-35-turbo";
+	private static final String DEFAULT_DEPLOYMENT_NAME = "gpt-35-turbo";
 
 	private static final Float DEFAULT_TEMPERATURE = 0.7f;
 
@@ -93,7 +93,10 @@ public class AzureOpenAiChatClient
 
 	public AzureOpenAiChatClient(OpenAIClient microsoftOpenAiClient) {
 		this(microsoftOpenAiClient,
-				AzureOpenAiChatOptions.builder().withModel(DEFAULT_MODEL).withTemperature(DEFAULT_TEMPERATURE).build());
+				AzureOpenAiChatOptions.builder()
+					.withDeploymentName(DEFAULT_DEPLOYMENT_NAME)
+					.withTemperature(DEFAULT_TEMPERATURE)
+					.build());
 	}
 
 	public AzureOpenAiChatClient(OpenAIClient microsoftOpenAiClient, AzureOpenAiChatOptions options) {
@@ -131,12 +134,7 @@ public ChatResponse call(Prompt prompt) {
 		options.setStream(false);
 
 		logger.trace("Azure ChatCompletionsOptions: {}", options);
-
 		ChatCompletions chatCompletions = this.callWithFunctionSupport(options);
-
-		// ChatCompletions chatCompletions =
-		// this.openAIClient.getChatCompletions(options.getModel(), options);
-
 		logger.trace("Azure ChatCompletions: {}", chatCompletions);
 
 		List<Generation> generations = chatCompletions.getChoices()
@@ -323,7 +321,7 @@ private ChatCompletionsOptions merge(ChatCompletionsOptions azureOptions, AzureO
 		mergedAzureOptions.setUser(azureOptions.getUser() != null ? azureOptions.getUser() : springAiOptions.getUser());
 
 		mergedAzureOptions
-			.setModel(azureOptions.getModel() != null ? azureOptions.getModel() : springAiOptions.getModel());
+			.setModel(azureOptions.getModel() != null ? azureOptions.getModel() : springAiOptions.getDeploymentName());
 
 		return mergedAzureOptions;
 	}
@@ -376,8 +374,8 @@ private ChatCompletionsOptions merge(AzureOpenAiChatOptions springAiOptions, Cha
 			mergedAzureOptions.setUser(springAiOptions.getUser());
 		}
 
-		if (springAiOptions.getModel() != null) {
-			mergedAzureOptions.setModel(springAiOptions.getModel());
+		if (springAiOptions.getDeploymentName() != null) {
+			mergedAzureOptions.setModel(springAiOptions.getDeploymentName());
 		}
 
 		return mergedAzureOptions;

models/spring-ai-azure-openai/src/main/java/org/springframework/ai/azure/openai/AzureOpenAiChatOptions.java

@@ -120,12 +120,11 @@ public class AzureOpenAiChatOptions implements FunctionCallingOptions, ChatOptio
 	private Double frequencyPenalty;
 
 	/**
-	 * The model name to provide as part of this completions request. Not applicable to
-	 * Azure OpenAI, where deployment information should be included in the Azure resource
-	 * URI that's connected to.
+	 * The deployment name as defined in Azure Open AI Studio when creating a deployment
+	 * backed by an Azure OpenAI base model.
 	 */
-	@JsonProperty(value = "model")
-	private String model;
+	@JsonProperty(value = "deployment_name")
+	private String deploymentName;
 
 	/**
 	 * OpenAI Tool Function Callbacks to register with the ChatClient. For Prompt Options
@@ -169,8 +168,8 @@ public Builder(AzureOpenAiChatOptions options) {
 			this.options = options;
 		}
 
-		public Builder withModel(String model) {
-			this.options.model = model;
+		public Builder withDeploymentName(String deploymentName) {
+			this.options.deploymentName = deploymentName;
 			return this;
 		}
 
@@ -298,12 +297,12 @@ public void setFrequencyPenalty(Double frequencyPenalty) {
 		this.frequencyPenalty = frequencyPenalty;
 	}
 
-	public String getModel() {
-		return this.model;
+	public String getDeploymentName() {
+		return this.deploymentName;
 	}
 
-	public void setModel(String model) {
-		this.model = model;
+	public void setDeploymentName(String deploymentName) {
+		this.deploymentName = deploymentName;
 	}
 
 	@Override

models/spring-ai-azure-openai/src/main/java/org/springframework/ai/azure/openai/AzureOpenAiEmbeddingClient.java

@@ -36,6 +36,7 @@
 import org.springframework.ai.embedding.EmbeddingResponseMetadata;
 import org.springframework.ai.model.ModelOptionsUtils;
 import org.springframework.util.Assert;
+import org.springframework.util.StringUtils;
 
 public class AzureOpenAiEmbeddingClient extends AbstractEmbeddingClient {
 
@@ -53,7 +54,7 @@ public AzureOpenAiEmbeddingClient(OpenAIClient azureOpenAiClient) {
 
 	public AzureOpenAiEmbeddingClient(OpenAIClient azureOpenAiClient, MetadataMode metadataMode) {
 		this(azureOpenAiClient, metadataMode,
-				AzureOpenAiEmbeddingOptions.builder().withModel("text-embedding-ada-002").build());
+				AzureOpenAiEmbeddingOptions.builder().withDeploymentName("text-embedding-ada-002").build());
 	}
 
 	public AzureOpenAiEmbeddingClient(OpenAIClient azureOpenAiClient, MetadataMode metadataMode,
@@ -93,7 +94,7 @@ public EmbeddingResponse call(EmbeddingRequest embeddingRequest) {
 	EmbeddingsOptions toEmbeddingOptions(EmbeddingRequest embeddingRequest) {
 		var azureOptions = new EmbeddingsOptions(embeddingRequest.getInstructions());
 		if (this.defaultOptions != null) {
-			azureOptions.setModel(this.defaultOptions.getModel());
+			azureOptions.setModel(this.defaultOptions.getDeploymentName());
 			azureOptions.setUser(this.defaultOptions.getUser());
 		}
 		if (embeddingRequest.getOptions() != null && !EmbeddingOptions.EMPTY.equals(embeddingRequest.getOptions())) {

models/spring-ai-azure-openai/src/main/java/org/springframework/ai/azure/openai/AzureOpenAiEmbeddingOptions.java

@@ -35,12 +35,13 @@ public class AzureOpenAiEmbeddingOptions implements EmbeddingOptions {
 	private String user;
 
 	/**
-	 * The model name to provide as part of this embeddings request. Not applicable to
-	 * Azure OpenAI, where deployment information should be included in the Azure resource
-	 * URI that's connected to.
+	 * The deployment name as defined in Azure Open AI Studio when creating a deployment
+	 * backed by an Azure OpenAI base model. If using Azure OpenAI library to communicate
+	 * with OpenAI (not Azure OpenAI) then this value will be used as the name of the
+	 * model. The json serialization of this field is 'model'.
 	 */
 	@JsonProperty(value = "model")
-	private String model;
+	private String deploymentName;
 
 	public static Builder builder() {
 		return new Builder();
@@ -55,8 +56,8 @@ public Builder withUser(String user) {
 			return this;
 		}
 
-		public Builder withModel(String model) {
-			this.options.setModel(model);
+		public Builder withDeploymentName(String model) {
+			this.options.setDeploymentName(model);
 			return this;
 		}
 
@@ -74,12 +75,12 @@ public void setUser(String user) {
 		this.user = user;
 	}
 
-	public String getModel() {
-		return this.model;
+	public String getDeploymentName() {
+		return this.deploymentName;
 	}
 
-	public void setModel(String model) {
-		this.model = model;
+	public void setDeploymentName(String deploymentName) {
+		this.deploymentName = deploymentName;
 	}
 
 }

models/spring-ai-azure-openai/src/test/java/org/springframework/ai/azure/openai/AzureChatCompletionsOptionsTests.java

@@ -33,7 +33,7 @@ public void createRequestWithChatOptions() {
 
 		OpenAIClient mockClient = Mockito.mock(OpenAIClient.class);
 		var client = new AzureOpenAiChatClient(mockClient,
-				AzureOpenAiChatOptions.builder().withModel("DEFAULT_MODEL").withTemperature(66.6f).build());
+				AzureOpenAiChatOptions.builder().withDeploymentName("DEFAULT_MODEL").withTemperature(66.6f).build());
 
 		var requestOptions = client.toAzureChatCompletionsOptions(new Prompt("Test message content"));
 
@@ -43,7 +43,7 @@ public void createRequestWithChatOptions() {
 		assertThat(requestOptions.getTemperature()).isEqualTo(66.6f);
 
 		requestOptions = client.toAzureChatCompletionsOptions(new Prompt("Test message content",
-				AzureOpenAiChatOptions.builder().withModel("PROMPT_MODEL").withTemperature(99.9f).build()));
+				AzureOpenAiChatOptions.builder().withDeploymentName("PROMPT_MODEL").withTemperature(99.9f).build()));
 
 		assertThat(requestOptions.getMessages()).hasSize(1);
 

models/spring-ai-azure-openai/src/test/java/org/springframework/ai/azure/openai/AzureEmbeddingsOptionsTests.java

@@ -37,7 +37,10 @@ public void createRequestWithChatOptions() {
 
 		OpenAIClient mockClient = Mockito.mock(OpenAIClient.class);
 		var client = new AzureOpenAiEmbeddingClient(mockClient, MetadataMode.EMBED,
-				AzureOpenAiEmbeddingOptions.builder().withModel("DEFAULT_MODEL").withUser("USER_TEST").build());
+				AzureOpenAiEmbeddingOptions.builder()
+					.withDeploymentName("DEFAULT_MODEL")
+					.withUser("USER_TEST")
+					.build());
 
 		var requestOptions = client.toEmbeddingOptions(new EmbeddingRequest(List.of("Test message content"), null));
 
@@ -47,7 +50,10 @@ public void createRequestWithChatOptions() {
 		assertThat(requestOptions.getUser()).isEqualTo("USER_TEST");
 
 		requestOptions = client.toEmbeddingOptions(new EmbeddingRequest(List.of("Test message content"),
-				AzureOpenAiEmbeddingOptions.builder().withModel("PROMPT_MODEL").withUser("PROMPT_USER").build()));
+				AzureOpenAiEmbeddingOptions.builder()
+					.withDeploymentName("PROMPT_MODEL")
+					.withUser("PROMPT_USER")
+					.build()));
 
 		assertThat(requestOptions.getInput()).hasSize(1);
 

models/spring-ai-azure-openai/src/test/java/org/springframework/ai/azure/openai/AzureOpenAiChatClientIT.java

@@ -196,7 +196,7 @@ public OpenAIClient openAIClient() {
 		@Bean
 		public AzureOpenAiChatClient azureOpenAiChatClient(OpenAIClient openAIClient) {
 			return new AzureOpenAiChatClient(openAIClient,
-					AzureOpenAiChatOptions.builder().withModel("gpt-35-turbo").withMaxTokens(200).build());
+					AzureOpenAiChatOptions.builder().withDeploymentName("gpt-35-turbo").withMaxTokens(200).build());
 
 		}
 

models/spring-ai-azure-openai/src/test/java/org/springframework/ai/azure/openai/function/AzureOpenAiChatClientFunctionCallIT.java

@@ -58,7 +58,7 @@ void functionCallTest() {
 		List<Message> messages = new ArrayList<>(List.of(userMessage));
 
 		var promptOptions = AzureOpenAiChatOptions.builder()
-			.withModel("gpt-4-0125-preview")
+			.withDeploymentName("gpt-4-0125-preview")
 			.withFunctionCallbacks(List.of(FunctionCallbackWrapper.builder(new MockWeatherService())
 				.withName("getCurrentWeather")
 				.withDescription("Get the current weather in a given location")
@@ -88,8 +88,10 @@ public OpenAIClient openAIClient() {
 		@Bean
 		public AzureOpenAiChatClient azureOpenAiChatClient(OpenAIClient openAIClient) {
 			return new AzureOpenAiChatClient(openAIClient,
-					AzureOpenAiChatOptions.builder().withModel("gpt-35-turbo-0613").withMaxTokens(500).build());
-
+					AzureOpenAiChatOptions.builder()
+						.withDeploymentName("gpt-4-0125-preview")
+						.withMaxTokens(500)
+						.build());
 		}
 
 	}

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/clients/azure-openai-chat.adoc

@@ -95,7 +95,7 @@ The prefix `spring.ai.azure.openai.chat` is the property prefix that configures
 | Property | Description | Default
 
 | spring.ai.azure.openai.chat.enabled | Enable Azure OpenAI chat client.  | true
-| spring.ai.azure.openai.chat.options.model | 	 * In use with Azure, this actually refers to the "Deployment Name" of your model, which you can find at https://oai.azure.com/portal. It's important to note that within an Azure OpenAI deployment, the "Deployment Name" is distinct from the model itself. The confusion around these terms stems from the intention to make the Azure OpenAI client library compatible with the original OpenAI endpoint. The deployment structures offered by Azure OpenAI and Sam Altman's OpenAI differ significantly. To clarify this distinction, we plan to rename this attribute to `deployment-name` in future updates.
+| spring.ai.azure.openai.chat.options.deployment-name | 	 * In use with Azure, this refers to the "Deployment Name" of your model, which you can find at https://oai.azure.com/portal. It's important to note that within an Azure OpenAI deployment, the "Deployment Name" is distinct from the model itself. The confusion around these terms stems from the intention to make the Azure OpenAI client library compatible with the original OpenAI endpoint. The deployment structures offered by Azure OpenAI and Sam Altman's OpenAI differ significantly.
 Deployments model name to provide as part of this completions request.
  | gpt-35-turbo
 | spring.ai.azure.openai.chat.options.maxTokens | The maximum number of tokens to generate. | -

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/azure-openai-embeddings.adoc

@@ -74,7 +74,7 @@ The prefix `spring.ai.azure.openai.embeddings` is the property prefix that confi
 
 | spring.ai.azure.openai.embedding.enabled | Enable Azure OpenAI embedding client.  | true
 | spring.ai.azure.openai.embedding.metadata-mode | Document content extraction mode    | EMBED
-| spring.ai.azure.openai.embedding.options.model | This is the value of the 'Deployment Name' as presented in the Azure AI Portal | text-embedding-ada-002
+| spring.ai.azure.openai.embedding.options.deployment-name | This is the value of the 'Deployment Name' as presented in the Azure AI Portal | text-embedding-ada-002
 | spring.ai.azure.openai.embedding.options.user | An identifier for the caller or end user of the operation. This may be used for tracking or rate-limiting purposes. | -
 |====
 

spring-ai-spring-boot-autoconfigure/src/main/java/org/springframework/ai/autoconfigure/azure/openai/AzureOpenAiChatProperties.java

@@ -24,7 +24,7 @@ public class AzureOpenAiChatProperties {
 
 	public static final String CONFIG_PREFIX = "spring.ai.azure.openai.chat";
 
-	public static final String DEFAULT_CHAT_MODEL = "gpt-35-turbo";
+	public static final String DEFAULT_DEPLOYMENT_NAME = "gpt-35-turbo";
 
 	private static final Double DEFAULT_TEMPERATURE = 0.7;
 
@@ -35,7 +35,7 @@ public class AzureOpenAiChatProperties {
 
 	@NestedConfigurationProperty
 	private AzureOpenAiChatOptions options = AzureOpenAiChatOptions.builder()
-		.withModel(DEFAULT_CHAT_MODEL)
+		.withDeploymentName(DEFAULT_DEPLOYMENT_NAME)
 		.withTemperature(DEFAULT_TEMPERATURE.floatValue())
 		.build();
 

spring-ai-spring-boot-autoconfigure/src/main/java/org/springframework/ai/autoconfigure/azure/openai/AzureOpenAiEmbeddingProperties.java

@@ -33,7 +33,7 @@ public class AzureOpenAiEmbeddingProperties {
 
 	@NestedConfigurationProperty
 	private AzureOpenAiEmbeddingOptions options = AzureOpenAiEmbeddingOptions.builder()
-		.withModel("text-embedding-ada-002")
+		.withDeploymentName("text-embedding-ada-002")
 		.build();
 
 	private MetadataMode metadataMode = MetadataMode.EMBED;

spring-ai-spring-boot-autoconfigure/src/test/java/org/springframework/ai/autoconfigure/azure/AzureOpenAiAutoConfigurationPropertyTests.java

@@ -47,7 +47,7 @@ public void embeddingPropertiesTest() {
 				assertThat(connectionProperties.getApiKey()).isEqualTo("TEST_API_KEY");
 				assertThat(connectionProperties.getEndpoint()).isEqualTo("TEST_ENDPOINT");
 
-				assertThat(chatProperties.getOptions().getModel()).isEqualTo("MODEL_XYZ");
+				assertThat(chatProperties.getOptions().getDeploymentName()).isEqualTo("MODEL_XYZ");
 			});
 	}
 
@@ -80,9 +80,9 @@ public void chatPropertiesTest() {
 				assertThat(connectionProperties.getEndpoint()).isEqualTo("ENDPOINT");
 				assertThat(connectionProperties.getApiKey()).isEqualTo("API_KEY");
 
-				assertThat(embeddingProperties.getOptions().getModel()).isEqualTo("text-embedding-ada-002");
+				assertThat(embeddingProperties.getOptions().getDeploymentName()).isEqualTo("text-embedding-ada-002");
 
-				assertThat(chatProperties.getOptions().getModel()).isEqualTo("MODEL_XYZ");
+				assertThat(chatProperties.getOptions().getDeploymentName()).isEqualTo("MODEL_XYZ");
 				assertThat(chatProperties.getOptions().getFrequencyPenalty()).isEqualTo(-1.5f);
 				assertThat(chatProperties.getOptions().getLogitBias().get("myTokenId")).isEqualTo(-5);
 				assertThat(chatProperties.getOptions().getMaxTokens()).isEqualTo(123);