Update Mistral AI chat model enumeration

auto-configurations/models/spring-ai-autoconfigure-model-mistral-ai/src/main/java/org/springframework/ai/model/mistralai/autoconfigure/MistralAiChatProperties.java

@@ -35,7 +35,7 @@ public class MistralAiChatProperties extends MistralAiParentProperties {
 
 	public static final String CONFIG_PREFIX = "spring.ai.mistralai.chat";
 
-	public static final String DEFAULT_CHAT_MODEL = MistralAiApi.ChatModel.SMALL.getValue();
+	public static final String DEFAULT_CHAT_MODEL = MistralAiApi.ChatModel.MISTRAL_SMALL.getValue();
 
 	private static final Double DEFAULT_TOP_P = 1.0;
 

auto-configurations/models/spring-ai-autoconfigure-model-mistral-ai/src/test/java/org/springframework/ai/model/mistralai/autoconfigure/tool/PaymentStatusBeanIT.java

@@ -1,5 +1,5 @@
 /*
- * Copyright 2023-2024 the original author or authors.
+ * Copyright 2023-2025 the original author or authors.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -60,7 +60,8 @@ class PaymentStatusBeanIT {
 	void functionCallTest() {
 
 		this.contextRunner
-			.withPropertyValues("spring.ai.mistralai.chat.options.model=" + MistralAiApi.ChatModel.LARGE.getValue())
+			.withPropertyValues(
+					"spring.ai.mistralai.chat.options.model=" + MistralAiApi.ChatModel.MISTRAL_LARGE.getValue())
 			.run(context -> {
 
 				MistralAiChatModel chatModel = context.getBean(MistralAiChatModel.class);

auto-configurations/models/spring-ai-autoconfigure-model-mistral-ai/src/test/java/org/springframework/ai/model/mistralai/autoconfigure/tool/PaymentStatusBeanOpenAiIT.java

@@ -1,5 +1,5 @@
 /*
- * Copyright 2023-2024 the original author or authors.
+ * Copyright 2023-2025 the original author or authors.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -68,7 +68,8 @@ class PaymentStatusBeanOpenAiIT {
 	void functionCallTest() {
 
 		this.contextRunner
-			.withPropertyValues("spring.ai.openai.chat.options.model=" + MistralAiApi.ChatModel.SMALL.getValue())
+			.withPropertyValues(
+					"spring.ai.openai.chat.options.model=" + MistralAiApi.ChatModel.MISTRAL_SMALL.getValue())
 			.run(context -> {
 
 				OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);

auto-configurations/models/spring-ai-autoconfigure-model-mistral-ai/src/test/java/org/springframework/ai/model/mistralai/autoconfigure/tool/PaymentStatusPromptIT.java

@@ -1,5 +1,5 @@
 /*
- * Copyright 2023-2024 the original author or authors.
+ * Copyright 2023-2025 the original author or authors.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -56,7 +56,8 @@ public class PaymentStatusPromptIT {
 	@Test
 	void functionCallTest() {
 		this.contextRunner
-			.withPropertyValues("spring.ai.mistralai.chat.options.model=" + MistralAiApi.ChatModel.SMALL.getValue())
+			.withPropertyValues(
+					"spring.ai.mistralai.chat.options.model=" + MistralAiApi.ChatModel.MISTRAL_SMALL.getValue())
 			.run(context -> {
 
 				MistralAiChatModel chatModel = context.getBean(MistralAiChatModel.class);

auto-configurations/models/spring-ai-autoconfigure-model-mistral-ai/src/test/java/org/springframework/ai/model/mistralai/autoconfigure/tool/WeatherServicePromptIT.java

@@ -1,5 +1,5 @@
 /*
- * Copyright 2023-2024 the original author or authors.
+ * Copyright 2023-2025 the original author or authors.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -62,7 +62,8 @@ public class WeatherServicePromptIT {
 	@Test
 	void promptFunctionCall() {
 		this.contextRunner
-			.withPropertyValues("spring.ai.mistralai.chat.options.model=" + MistralAiApi.ChatModel.LARGE.getValue())
+			.withPropertyValues(
+					"spring.ai.mistralai.chat.options.model=" + MistralAiApi.ChatModel.MISTRAL_LARGE.getValue())
 			.run(context -> {
 
 				MistralAiChatModel chatModel = context.getBean(MistralAiChatModel.class);
@@ -91,7 +92,8 @@ void promptFunctionCall() {
 	@Test
 	void functionCallWithPortableFunctionCallingOptions() {
 		this.contextRunner
-			.withPropertyValues("spring.ai.mistralai.chat.options.model=" + MistralAiApi.ChatModel.LARGE.getValue())
+			.withPropertyValues(
+					"spring.ai.mistralai.chat.options.model=" + MistralAiApi.ChatModel.MISTRAL_LARGE.getValue())
 			.run(context -> {
 
 				MistralAiChatModel chatModel = context.getBean(MistralAiChatModel.class);

models/spring-ai-mistral-ai/src/main/java/org/springframework/ai/mistralai/MistralAiChatModel.java

@@ -570,7 +570,7 @@ public static final class Builder {
 			.temperature(0.7)
 			.topP(1.0)
 			.safePrompt(false)
-			.model(MistralAiApi.ChatModel.SMALL.getValue())
+			.model(MistralAiApi.ChatModel.MISTRAL_SMALL.getValue())
 			.build();
 
 		private ToolCallingManager toolCallingManager = DEFAULT_TOOL_CALLING_MANAGER;

models/spring-ai-mistral-ai/src/main/java/org/springframework/ai/mistralai/api/MistralAiApi.java

@@ -248,9 +248,7 @@ public enum ChatCompletionFinishReason {
 	/**
 	 * List of well-known Mistral chat models.
 	 *
-	 * @see <a href=
-	 * "https://docs.mistral.ai/getting-started/models/models_overview/">Mistral AI Models
-	 * Overview</a>
+	 * @see <a href="https://docs.mistral.ai/getting-started/models">Mistral AI Models</a>
 	 */
 	public enum ChatModel implements ChatModelDescription {
 
@@ -259,15 +257,17 @@ public enum ChatModel implements ChatModelDescription {
 		MAGISTRAL_MEDIUM("magistral-medium-latest"),
 		MISTRAL_MEDIUM("mistral-medium-latest"),
 		CODESTRAL("codestral-latest"),
-		LARGE("mistral-large-latest"),
+		DEVSTRAL_MEDIUM("devstral-medium-latest"),
+		MISTRAL_LARGE("mistral-large-latest"),
 		PIXTRAL_LARGE("pixtral-large-latest"),
-		MINISTRAL_3B_LATEST("ministral-3b-latest"),
-		MINISTRAL_8B_LATEST("ministral-8b-latest"),
 		// Free Models
+		MINISTRAL_3B("ministral-3b-latest"),
+		MINISTRAL_8B("ministral-8b-latest"),
+		MINISTRAL_14B("ministral-14b-latest"),
 		MAGISTRAL_SMALL("magistral-small-latest"),
 		DEVSTRAL_SMALL("devstral-small-latest"),
-		SMALL("mistral-small-latest"),
-		PIXTRAL("pixtral-12b-2409"),
+		MISTRAL_SMALL("mistral-small-latest"),
+		PIXTRAL_12B("pixtral-12b-latest"),
 		// Free Models - Research
 		OPEN_MISTRAL_NEMO("open-mistral-nemo");
 		// @formatter:on
@@ -292,9 +292,7 @@ public String getName() {
 	/**
 	 * List of well-known Mistral embedding models.
 	 *
-	 * @see <a href=
-	 * "https://docs.mistral.ai/getting-started/models/models_overview/">Mistral AI Models
-	 * Overview</a>
+	 * @see <a href="https://docs.mistral.ai/getting-started/models">Mistral AI Models</a>
 	 */
 	public enum EmbeddingModel {
 

models/spring-ai-mistral-ai/src/test/java/org/springframework/ai/mistralai/MistralAiChatClientIT.java

@@ -1,5 +1,5 @@
 /*
- * Copyright 2023-2024 the original author or authors.
+ * Copyright 2023-2025 the original author or authors.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -226,7 +226,7 @@ void functionCallTest() {
 
 		// @formatter:off
 		String response = ChatClient.create(this.chatModel).prompt()
-				.options(MistralAiChatOptions.builder().model(MistralAiApi.ChatModel.SMALL).toolChoice(ToolChoice.AUTO).build())
+				.options(MistralAiChatOptions.builder().model(MistralAiApi.ChatModel.MISTRAL_SMALL).toolChoice(ToolChoice.AUTO).build())
 				.user(u -> u.text("What's the weather like in San Francisco, Tokyo, and Paris? Use parallel function calling if required. Response should be in Celsius."))
 				.toolCallbacks(FunctionToolCallback.builder("getCurrentWeather", new MockWeatherService())
 					.description("Get the weather in location")
@@ -248,7 +248,7 @@ void defaultFunctionCallTest() {
 
 		// @formatter:off
 		String response = ChatClient.builder(this.chatModel)
-				.defaultOptions(MistralAiChatOptions.builder().model(MistralAiApi.ChatModel.SMALL).build())
+				.defaultOptions(MistralAiChatOptions.builder().model(MistralAiApi.ChatModel.MISTRAL_SMALL).build())
 				.defaultToolCallbacks(FunctionToolCallback.builder("getCurrentWeather", new MockWeatherService())
 					.description("Get the weather in location")
 					.inputType(MockWeatherService.Request.class)
@@ -270,7 +270,7 @@ void streamFunctionCallTest() {
 
 		// @formatter:off
 		Flux<String> response = ChatClient.create(this.chatModel).prompt()
-				.options(MistralAiChatOptions.builder().model(MistralAiApi.ChatModel.SMALL).build())
+				.options(MistralAiChatOptions.builder().model(MistralAiApi.ChatModel.MISTRAL_SMALL).build())
 				.user("What's the weather like in San Francisco, Tokyo, and Paris? Use parallel function calling if required. Response should be in Celsius.")
 				.toolCallbacks(FunctionToolCallback.builder("getCurrentWeather", new MockWeatherService())
 					.description("Get the weather in location")
@@ -291,7 +291,7 @@ void streamFunctionCallTest() {
 	@Test
 	void validateCallResponseMetadata() {
 		// String model = MistralAiApi.ChatModel.OPEN_MISTRAL_7B.getName();
-		String model = MistralAiApi.ChatModel.PIXTRAL.getName();
+		String model = MistralAiApi.ChatModel.PIXTRAL_12B.getName();
 		// String model = MistralAiApi.ChatModel.PIXTRAL_LARGE.getName();
 		// @formatter:off
 		ChatResponse response = ChatClient.create(this.chatModel).prompt()

models/spring-ai-mistral-ai/src/test/java/org/springframework/ai/mistralai/MistralAiChatModelIT.java

@@ -16,7 +16,6 @@
 
 package org.springframework.ai.mistralai;
 
-import java.io.IOException;
 import java.net.URI;
 import java.util.ArrayList;
 import java.util.Arrays;
@@ -224,7 +223,7 @@ void functionCallTest() {
 		List<Message> messages = new ArrayList<>(List.of(userMessage));
 
 		var promptOptions = MistralAiChatOptions.builder()
-			.model(MistralAiApi.ChatModel.SMALL.getValue())
+			.model(MistralAiApi.ChatModel.MISTRAL_SMALL.getValue())
 			.toolCallbacks(List.of(FunctionToolCallback.builder("getCurrentWeather", new MockWeatherService())
 				.description("Get the weather in location")
 				.inputType(MockWeatherService.Request.class)
@@ -249,7 +248,7 @@ void streamFunctionCallTest() {
 		List<Message> messages = new ArrayList<>(List.of(userMessage));
 
 		var promptOptions = MistralAiChatOptions.builder()
-			.model(MistralAiApi.ChatModel.SMALL.getValue())
+			.model(MistralAiApi.ChatModel.MISTRAL_SMALL.getValue())
 			.toolCallbacks(List.of(FunctionToolCallback.builder("getCurrentWeather", new MockWeatherService())
 				.description("Get the weather in location")
 				.inputType(MockWeatherService.Request.class)
@@ -291,7 +290,7 @@ void multiModalityEmbeddedImage(String modelName) {
 
 	@ParameterizedTest(name = "{0} : {displayName} ")
 	@ValueSource(strings = { "pixtral-large-latest" })
-	void multiModalityImageUrl(String modelName) throws IOException {
+	void multiModalityImageUrl(String modelName) {
 		var userMessage = UserMessage.builder()
 			.text("Explain what do you see on this picture?")
 			.media(List.of(Media.builder()
@@ -309,7 +308,7 @@ void multiModalityImageUrl(String modelName) throws IOException {
 	}
 
 	@Test
-	void streamingMultiModalityImageUrl() throws IOException {
+	void streamingMultiModalityImageUrl() {
 		var userMessage = UserMessage.builder()
 			.text("Explain what do you see on this picture?")
 			.media(List.of(Media.builder()
@@ -341,7 +340,7 @@ void streamFunctionCallUsageTest() {
 		List<Message> messages = new ArrayList<>(List.of(userMessage));
 
 		var promptOptions = MistralAiChatOptions.builder()
-			.model(MistralAiApi.ChatModel.SMALL.getValue())
+			.model(MistralAiApi.ChatModel.MISTRAL_SMALL.getValue())
 			.toolCallbacks(List.of(FunctionToolCallback.builder("getCurrentWeather", new MockWeatherService())
 				.description("Get the weather in location")
 				.inputType(MockWeatherService.Request.class)

models/spring-ai-mistral-ai/src/test/java/org/springframework/ai/mistralai/MistralAiChatModelObservationIT.java

@@ -70,7 +70,7 @@ void beforeEach() {
 	@Test
 	void observationForChatOperation() {
 		var options = MistralAiChatOptions.builder()
-			.model(MistralAiApi.ChatModel.SMALL.getValue())
+			.model(MistralAiApi.ChatModel.MISTRAL_SMALL.getValue())
 			.maxTokens(2048)
 			.stop(List.of("this-is-the-end"))
 			.temperature(0.7)
@@ -94,7 +94,7 @@ void observationForChatOperation() {
 	@Test
 	void observationForStreamingChatOperation() {
 		var options = MistralAiChatOptions.builder()
-			.model(MistralAiApi.ChatModel.SMALL.getValue())
+			.model(MistralAiApi.ChatModel.MISTRAL_SMALL.getValue())
 			.maxTokens(2048)
 			.stop(List.of("this-is-the-end"))
 			.temperature(0.7)
@@ -131,12 +131,12 @@ private void validate(ChatResponseMetadata responseMetadata) {
 			.doesNotHaveAnyRemainingCurrentObservation()
 			.hasObservationWithNameEqualTo(DefaultChatModelObservationConvention.DEFAULT_NAME)
 			.that()
-			.hasContextualNameEqualTo("chat " + MistralAiApi.ChatModel.SMALL.getValue())
+			.hasContextualNameEqualTo("chat " + MistralAiApi.ChatModel.MISTRAL_SMALL.getValue())
 			.hasLowCardinalityKeyValue(LowCardinalityKeyNames.AI_OPERATION_TYPE.asString(),
 					AiOperationType.CHAT.value())
 			.hasLowCardinalityKeyValue(LowCardinalityKeyNames.AI_PROVIDER.asString(), AiProvider.MISTRAL_AI.value())
 			.hasLowCardinalityKeyValue(LowCardinalityKeyNames.REQUEST_MODEL.asString(),
-					MistralAiApi.ChatModel.SMALL.getValue())
+					MistralAiApi.ChatModel.MISTRAL_SMALL.getValue())
 			.hasLowCardinalityKeyValue(LowCardinalityKeyNames.RESPONSE_MODEL.asString(),
 					StringUtils.hasText(responseMetadata.getModel()) ? responseMetadata.getModel()
 							: KeyValue.NONE_VALUE)

models/spring-ai-mistral-ai/src/test/java/org/springframework/ai/mistralai/MistralAiChatOptionsTests.java

@@ -61,9 +61,9 @@ void testBuilderWithAllFields() {
 	@Test
 	void testBuilderWithEnum() {
 		MistralAiChatOptions optionsWithEnum = MistralAiChatOptions.builder()
-			.model(MistralAiApi.ChatModel.MINISTRAL_8B_LATEST)
+			.model(MistralAiApi.ChatModel.MINISTRAL_8B)
 			.build();
-		assertThat(optionsWithEnum.getModel()).isEqualTo(MistralAiApi.ChatModel.MINISTRAL_8B_LATEST.getValue());
+		assertThat(optionsWithEnum.getModel()).isEqualTo(MistralAiApi.ChatModel.MINISTRAL_8B.getValue());
 	}
 
 	@Test

models/spring-ai-mistral-ai/src/test/java/org/springframework/ai/mistralai/MistralAiRetryTests.java

@@ -83,7 +83,7 @@ public void beforeEach() {
 				.temperature(0.7)
 				.topP(1.0)
 				.safePrompt(false)
-				.model(MistralAiApi.ChatModel.SMALL.getValue())
+				.model(MistralAiApi.ChatModel.MISTRAL_SMALL.getValue())
 				.build())
 			.retryTemplate(this.retryTemplate)
 			.build();

models/spring-ai-mistral-ai/src/test/java/org/springframework/ai/mistralai/MistralAiTestConfiguration.java

@@ -58,7 +58,8 @@ public MistralAiEmbeddingModel mistralAiEmbeddingModel(MistralAiApi api) {
 	public MistralAiChatModel mistralAiChatModel(MistralAiApi mistralAiApi) {
 		return MistralAiChatModel.builder()
 			.mistralAiApi(mistralAiApi)
-			.defaultOptions(MistralAiChatOptions.builder().model(MistralAiApi.ChatModel.SMALL.getValue()).build())
+			.defaultOptions(
+					MistralAiChatOptions.builder().model(MistralAiApi.ChatModel.MISTRAL_SMALL.getValue()).build())
 			.build();
 	}
 

models/spring-ai-mistral-ai/src/test/java/org/springframework/ai/mistralai/api/MistralAiApiIT.java

@@ -48,7 +48,7 @@ public class MistralAiApiIT {
 	void chatCompletionEntity() {
 		ChatCompletionMessage chatCompletionMessage = new ChatCompletionMessage("Hello world", Role.USER);
 		ResponseEntity<ChatCompletion> response = this.mistralAiApi.chatCompletionEntity(new ChatCompletionRequest(
-				List.of(chatCompletionMessage), MistralAiApi.ChatModel.SMALL.getValue(), 0.8, false));
+				List.of(chatCompletionMessage), MistralAiApi.ChatModel.MISTRAL_SMALL.getValue(), 0.8, false));
 
 		assertThat(response).isNotNull();
 		assertThat(response.getBody()).isNotNull();
@@ -65,7 +65,7 @@ void chatCompletionEntityWithSystemMessage() {
 					""", Role.SYSTEM);
 
 		ResponseEntity<ChatCompletion> response = this.mistralAiApi.chatCompletionEntity(new ChatCompletionRequest(
-				List.of(systemMessage, userMessage), MistralAiApi.ChatModel.SMALL.getValue(), 0.8, false));
+				List.of(systemMessage, userMessage), MistralAiApi.ChatModel.MISTRAL_SMALL.getValue(), 0.8, false));
 
 		assertThat(response).isNotNull();
 		assertThat(response.getBody()).isNotNull();
@@ -75,7 +75,7 @@ void chatCompletionEntityWithSystemMessage() {
 	void chatCompletionStream() {
 		ChatCompletionMessage chatCompletionMessage = new ChatCompletionMessage("Hello world", Role.USER);
 		Flux<ChatCompletionChunk> response = this.mistralAiApi.chatCompletionStream(new ChatCompletionRequest(
-				List.of(chatCompletionMessage), MistralAiApi.ChatModel.SMALL.getValue(), 0.8, true));
+				List.of(chatCompletionMessage), MistralAiApi.ChatModel.MISTRAL_SMALL.getValue(), 0.8, true));
 
 		assertThat(response).isNotNull();
 		assertThat(response.collectList().block()).isNotNull();

models/spring-ai-mistral-ai/src/test/java/org/springframework/ai/mistralai/api/tool/MistralAiApiToolFunctionCallIT.java

@@ -48,7 +48,7 @@
 @EnabledIfEnvironmentVariable(named = "MISTRAL_AI_API_KEY", matches = ".+")
 public class MistralAiApiToolFunctionCallIT {
 
-	static final String MISTRAL_AI_CHAT_MODEL = MistralAiApi.ChatModel.LARGE.getValue();
+	static final String MISTRAL_AI_CHAT_MODEL = MistralAiApi.ChatModel.MISTRAL_LARGE.getValue();
 
 	private final Logger logger = LoggerFactory.getLogger(MistralAiApiToolFunctionCallIT.class);
 

models/spring-ai-mistral-ai/src/test/java/org/springframework/ai/mistralai/api/tool/PaymentStatusFunctionCallingIT.java

@@ -78,7 +78,7 @@ private static <T> T jsonToObject(String json, Class<T> targetClass) {
 
 	@Test
 	@SuppressWarnings("null")
-	public void toolFunctionCall() throws JsonProcessingException {
+	public void toolFunctionCall() {
 
 		var transactionJsonSchema = """
 				{
@@ -109,8 +109,9 @@ public void toolFunctionCall() throws JsonProcessingException {
 
 		MistralAiApi mistralApi = MistralAiApi.builder().apiKey(System.getenv("MISTRAL_AI_API_KEY")).build();
 
-		ResponseEntity<ChatCompletion> response = mistralApi.chatCompletionEntity(new ChatCompletionRequest(messages,
-				MistralAiApi.ChatModel.LARGE.getValue(), List.of(paymentStatusTool, paymentDateTool), ToolChoice.AUTO));
+		ResponseEntity<ChatCompletion> response = mistralApi
+			.chatCompletionEntity(new ChatCompletionRequest(messages, MistralAiApi.ChatModel.MISTRAL_LARGE.getValue(),
+					List.of(paymentStatusTool, paymentDateTool), ToolChoice.AUTO));
 
 		ChatCompletionMessage responseMessage = response.getBody().choices().get(0).message();
 
@@ -135,7 +136,7 @@ public void toolFunctionCall() throws JsonProcessingException {
 		}
 
 		response = mistralApi
-			.chatCompletionEntity(new ChatCompletionRequest(messages, MistralAiApi.ChatModel.LARGE.getValue()));
+			.chatCompletionEntity(new ChatCompletionRequest(messages, MistralAiApi.ChatModel.MISTRAL_LARGE.getValue()));
 
 		var responseContent = response.getBody().choices().get(0).message().content();
 		logger.info("Final response: " + responseContent);