Update Ollama API to latest version

auto-configurations/models/spring-ai-autoconfigure-model-ollama/src/test/java/org/springframework/ai/model/ollama/autoconfigure/OllamaChatAutoConfigurationIT.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.
@@ -46,7 +46,7 @@
  */
 public class OllamaChatAutoConfigurationIT extends BaseOllamaIT {
 
-	private static final String MODEL_NAME = OllamaModel.LLAMA3_2.getName();
+	private static final String MODEL_NAME = OllamaModel.QWEN_2_5_3B.getName();
 
 	private final ApplicationContextRunner contextRunner = new ApplicationContextRunner().withPropertyValues(
 	// @formatter:off

auto-configurations/models/spring-ai-autoconfigure-model-ollama/src/test/java/org/springframework/ai/model/ollama/autoconfigure/OllamaImage.java

@@ -18,7 +18,7 @@
 
 public final class OllamaImage {
 
-	public static final String DEFAULT_IMAGE = "ollama/ollama:0.5.7";
+	public static final String DEFAULT_IMAGE = "ollama/ollama:0.10.1";
 
 	private OllamaImage() {
 

auto-configurations/models/spring-ai-autoconfigure-model-ollama/src/test/java/org/springframework/ai/model/ollama/autoconfigure/tool/FunctionCallbackInPromptIT.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.
@@ -23,6 +23,7 @@
 import org.junit.jupiter.api.Test;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
+import org.springframework.ai.ollama.api.OllamaModel;
 import reactor.core.publisher.Flux;
 
 import org.springframework.ai.chat.messages.AssistantMessage;
@@ -44,7 +45,7 @@ public class FunctionCallbackInPromptIT extends BaseOllamaIT {
 
 	private static final Logger logger = LoggerFactory.getLogger(FunctionCallbackInPromptIT.class);
 
-	private static final String MODEL_NAME = "qwen2.5:3b";
+	private static final String MODEL_NAME = OllamaModel.QWEN_2_5_3B.getName();
 
 	private final ApplicationContextRunner contextRunner = new ApplicationContextRunner().withPropertyValues(
 	// @formatter:off

auto-configurations/models/spring-ai-autoconfigure-model-ollama/src/test/java/org/springframework/ai/model/ollama/autoconfigure/tool/OllamaFunctionToolBeanIT.java

@@ -24,6 +24,7 @@
 import org.junit.jupiter.api.Test;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
+import org.springframework.ai.ollama.api.OllamaModel;
 import reactor.core.publisher.Flux;
 
 import org.springframework.ai.chat.messages.AssistantMessage;
@@ -55,7 +56,7 @@ public class OllamaFunctionToolBeanIT extends BaseOllamaIT {
 
 	private static final Logger logger = LoggerFactory.getLogger(OllamaFunctionToolBeanIT.class);
 
-	private static final String MODEL_NAME = "qwen2.5:3b";
+	private static final String MODEL_NAME = OllamaModel.QWEN_2_5_3B.getName();
 
 	private final ApplicationContextRunner contextRunner = new ApplicationContextRunner().withPropertyValues(
 	// @formatter:off

models/spring-ai-ollama/src/main/java/org/springframework/ai/ollama/api/OllamaApi.java

@@ -65,9 +65,6 @@ public static Builder builder() {
 
 	private static final Log logger = LogFactory.getLog(OllamaApi.class);
 
-
-	private static final String DEFAULT_BASE_URL = "http://localhost:11434";
-
 	private final RestClient restClient;
 
 	private final WebClient webClient;
@@ -80,22 +77,18 @@ public static Builder builder() {
 	 * @param responseErrorHandler Response error handler.
 	 */
 	private OllamaApi(String baseUrl, RestClient.Builder restClientBuilder, WebClient.Builder webClientBuilder, ResponseErrorHandler responseErrorHandler) {
-
-
 		Consumer<HttpHeaders> defaultHeaders = headers -> {
 			headers.setContentType(MediaType.APPLICATION_JSON);
 			headers.setAccept(List.of(MediaType.APPLICATION_JSON));
 		};
 
-
 		this.restClient = restClientBuilder
 				.clone()
 				.baseUrl(baseUrl)
 				.defaultHeaders(defaultHeaders)
 				.defaultStatusHandler(responseErrorHandler)
 				.build();
 
-
 		this.webClient = webClientBuilder
 				.clone()
 				.baseUrl(baseUrl)
@@ -260,15 +253,20 @@ public Flux<ProgressResponse> pullModel(PullModelRequest pullModelRequest) {
 	 * @param content The content of the message.
 	 * @param images The list of base64-encoded images to send with the message.
 	 * 				 Requires multimodal models such as llava or bakllava.
-	 * @param toolCalls The relevant tool call.
+	 * @param toolCalls The list of tools that the model wants to use.
+	 * @param toolName The name of the tool that was executed to inform the model of the result.
+	 * @param thinking The model's thinking process. Requires thinking models such as qwen3.
 	 */
 	@JsonInclude(Include.NON_NULL)
 	@JsonIgnoreProperties(ignoreUnknown = true)
 	public record Message(
 			@JsonProperty("role") Role role,
 			@JsonProperty("content") String content,
 			@JsonProperty("images") List<String> images,
-			@JsonProperty("tool_calls") List<ToolCall> toolCalls) {
+			@JsonProperty("tool_calls") List<ToolCall> toolCalls,
+			@JsonProperty("tool_name") String toolName,
+			@JsonProperty("thinking") String thinking
+	) {
 
 		public static Builder builder(Role role) {
 			return new Builder(role);
@@ -317,11 +315,19 @@ public record ToolCall(
 		 *
 		 * @param name The name of the function.
 		 * @param arguments The arguments that the model expects you to pass to the function.
+		 * @param index The index of the function call in the list of tool calls.
 		 */
 		@JsonInclude(Include.NON_NULL)
 		public record ToolCallFunction(
 			@JsonProperty("name") String name,
-			@JsonProperty("arguments") Map<String, Object> arguments) {
+			@JsonProperty("arguments") Map<String, Object> arguments,
+			@JsonProperty("index") Integer index
+		) {
+
+			public ToolCallFunction(String name, Map<String, Object> arguments) {
+				this(name, arguments, null);
+			}
+
 		}
 
 		public static class Builder {
@@ -330,6 +336,8 @@ public static class Builder {
 			private String content;
 			private List<String> images;
 			private List<ToolCall> toolCalls;
+			private String toolName;
+			private String thinking;
 
 			public Builder(Role role) {
 				this.role = role;
@@ -350,8 +358,18 @@ public Builder toolCalls(List<ToolCall> toolCalls) {
 				return this;
 			}
 
+			public Builder toolName(String toolName) {
+				this.toolName = toolName;
+				return this;
+			}
+
+			public Builder thinking(String thinking) {
+				this.thinking = thinking;
+				return this;
+			}
+
 			public Message build() {
-				return new Message(this.role, this.content, this.images, this.toolCalls);
+				return new Message(this.role, this.content, this.images, this.toolCalls, this.toolName, this.thinking);
 			}
 		}
 	}
@@ -367,6 +385,7 @@ public Message build() {
 	 * @param tools List of tools the model has access to.
 	 * @param options Model-specific options. For example, "temperature" can be set through this field, if the model supports it.
 	 * You can use the {@link OllamaOptions} builder to create the options then {@link OllamaOptions#toMap()} to convert the options into a map.
+	 * @param think Think controls whether thinking/reasoning models will think before responding.
 	 *
 	 * @see <a href=
 	 * "https://github.com/ollama/ollama/blob/main/docs/api.md#generate-a-chat-completion">Chat
@@ -382,7 +401,8 @@ public record ChatRequest(
 			@JsonProperty("format") Object format,
 			@JsonProperty("keep_alive") String keepAlive,
 			@JsonProperty("tools") List<Tool> tools,
-			@JsonProperty("options") Map<String, Object> options
+			@JsonProperty("options") Map<String, Object> options,
+			@JsonProperty("think") Boolean think
 	) {
 
 		public static Builder builder(String model) {
@@ -455,6 +475,7 @@ public static class Builder {
 			private String keepAlive;
 			private List<Tool> tools = List.of();
 			private Map<String, Object> options = Map.of();
+			private Boolean think;
 
 			public Builder(String model) {
 				Assert.notNull(model, "The model can not be null.");
@@ -499,8 +520,13 @@ public Builder options(OllamaOptions options) {
 				return this;
 			}
 
+			public Builder think(Boolean think) {
+				this.think = think;
+				return this;
+			}
+
 			public ChatRequest build() {
-				return new ChatRequest(this.model, this.messages, this.stream, this.format, this.keepAlive, this.tools, this.options);
+				return new ChatRequest(this.model, this.messages, this.stream, this.format, this.keepAlive, this.tools, this.options, this.think);
 			}
 		}
 	}

models/spring-ai-ollama/src/main/java/org/springframework/ai/ollama/api/OllamaModel.java

@@ -27,11 +27,30 @@
  */
 public enum OllamaModel implements ChatModelDescription {
 
+	QWEN_2_5_3B("qwen2.5:3b"),
+
 	/**
 	 * Qwen 2.5
 	 */
 	QWEN_2_5_7B("qwen2.5"),
 
+	/**
+	 * Flagship vision-language model of Qwen and also a significant leap from the
+	 * previous Qwen2-VL.
+	 */
+	QWEN2_5_VL("qwen2.5vl"),
+
+	/**
+	 * Qwen3 is the latest generation of large language models in Qwen series, offering a
+	 * comprehensive suite of dense and mixture-of-experts (MoE) models.
+	 */
+	QWEN3_7B("qwen3:7b"),
+
+	/**
+	 * Qwen3 4B
+	 */
+	QWEN3_4B("qwen3:4b"),
+
 	/**
 	 * QwQ is the reasoning model of the Qwen series.
 	 */
@@ -139,6 +158,11 @@ public enum OllamaModel implements ChatModelDescription {
 	 */
 	GEMMA("gemma"),
 
+	/**
+	 * The current, most capable model that runs on a single GPU.
+	 */
+	GEMMA3("gemma3"),
+
 	/**
 	 * Uncensored Llama 2 model
 	 */