添加Ollama客户端支持，使用方法如下：

// 创建AI服务
OllamaService aiService = AIServiceFactory.getAIService(
	new AIConfigBuilder(ModelName.OLLAMA.getValue())
		.setApiUrl("http://localhost:11434")
		.setModel("qwen2.5-coder:32b")
		.build(),
	OllamaService.class
);

// 构造上下文
List<Message> messageList=new ArrayList<>();
messageList.add(new Message("system","你是一个疯疯癫癫的机器人"));
messageList.add(new Message("user","你能帮我做什么"));

// 输出对话结果
System.out.println(aiService.chat(messageList));

// 流式输出
aiService.chat("请帮我写一段描写Hutool的散文", System.err::println);

// 拉取模型（高耗时操作）
aiService.pullModel("qwen3:32b");

hutool-ai/src/main/java/cn/hutool/ai/ModelName.java

@@ -43,7 +43,11 @@ public enum ModelName {
 	/**
 	 * grok
 	 */
-	GROK("grok");
+	GROK("grok"),
+	/**
+	 * ollama
+	 */
+	OLLAMA("ollama");
 
 	private final String value;
 

hutool-ai/src/main/java/cn/hutool/ai/Models.java

@@ -192,4 +192,19 @@ public class Models {
 		}
 	}
 
+	// Ollama的模型
+	public enum Ollama {
+		QWEN3_32B("qwen3:32b");
+
+		private final String model;
+
+		Ollama(String model) {
+			this.model = model;
+		}
+
+		public String getModel() {
+			return model;
+		}
+	}
+
 }

hutool-ai/src/main/java/cn/hutool/ai/model/ollama/OllamaCommon.java

@@ -0,0 +1,76 @@
+/*
+ * Copyright (c) 2025 Hutool Team and hutool.cn
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package cn.hutool.ai.model.ollama;
+
+/**
+ * Ollama公共类
+ *
+ * @author yangruoyu-yumeisoft
+ * @since 5.8.40
+ */
+public class OllamaCommon {
+
+	/**
+	 * Ollama模型格式枚举
+	 */
+	public enum OllamaFormat {
+		/**
+		 * JSON格式
+		 */
+		JSON("json"),
+		/**
+		 * 无格式
+		 */
+		NONE("");
+
+		private final String format;
+
+		OllamaFormat(String format) {
+			this.format = format;
+		}
+
+		public String getFormat() {
+			return format;
+		}
+	}
+
+	/**
+	 * Ollama选项常量
+	 */
+	public static class Options {
+		/**
+		 * 温度参数
+		 */
+		public static final String TEMPERATURE = "temperature";
+		/**
+		 * top_p参数
+		 */
+		public static final String TOP_P = "top_p";
+		/**
+		 * top_k参数
+		 */
+		public static final String TOP_K = "top_k";
+		/**
+		 * 最大token数
+		 */
+		public static final String NUM_PREDICT = "num_predict";
+		/**
+		 * 随机种子
+		 */
+		public static final String SEED = "seed";
+	}
+}

hutool-ai/src/main/java/cn/hutool/ai/model/ollama/OllamaConfig.java

@@ -0,0 +1,55 @@
+/*
+ * Copyright (c) 2025 Hutool Team and hutool.cn
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package cn.hutool.ai.model.ollama;
+
+import cn.hutool.ai.Models;
+import cn.hutool.ai.core.BaseConfig;
+
+/**
+ * Ollama配置类，初始化API接口地址，设置默认的模型
+ *
+ * @author yangruoyu-yumeisoft
+ * @since 5.8.40
+ */
+public class OllamaConfig extends BaseConfig {
+
+	private final String API_URL = "http://localhost:11434";
+
+	private final String DEFAULT_MODEL = Models.Ollama.QWEN3_32B.getModel();
+
+	public OllamaConfig() {
+		setApiUrl(API_URL);
+		setModel(DEFAULT_MODEL);
+	}
+
+	public OllamaConfig(String apiUrl) {
+		this();
+		setApiUrl(apiUrl);
+	}
+
+	public OllamaConfig(String apiUrl, String model) {
+		this();
+		setApiUrl(apiUrl);
+		setModel(model);
+	}
+
+	@Override
+	public String getModelName() {
+		return "ollama";
+	}
+
+}

hutool-ai/src/main/java/cn/hutool/ai/model/ollama/OllamaProvider.java

@@ -0,0 +1,39 @@
+/*
+ * Copyright (c) 2025 Hutool Team and hutool.cn
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package cn.hutool.ai.model.ollama;
+
+import cn.hutool.ai.core.AIConfig;
+import cn.hutool.ai.core.AIServiceProvider;
+
+/**
+ * 创建Ollama服务实现类
+ *
+ * @author yangruoyu-yumeisoft
+ * @since 5.8.40
+ */
+public class OllamaProvider implements AIServiceProvider {
+
+	@Override
+	public String getServiceName() {
+		return "ollama";
+	}
+
+	@Override
+	public OllamaService create(final AIConfig config) {
+		return new OllamaServiceImpl(config);
+	}
+}

hutool-ai/src/main/java/cn/hutool/ai/model/ollama/OllamaService.java

@@ -0,0 +1,151 @@
+/*
+ * Copyright (c) 2025 Hutool Team and hutool.cn
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package cn.hutool.ai.model.ollama;
+
+import cn.hutool.ai.core.AIService;
+import cn.hutool.ai.core.Message;
+
+import java.util.ArrayList;
+import java.util.List;
+import java.util.function.Consumer;
+
+/**
+ * Ollama特有的功能
+ *
+ * @author yangruoyu-yumeisoft
+ * @since 5.8.40
+ */
+public interface OllamaService extends AIService {
+
+	/**
+	 * 生成文本补全
+	 *
+	 * @param prompt 输入提示
+	 * @return AI回答
+	 * @since 5.8.40
+	 */
+	String generate(String prompt);
+
+	/**
+	 * 生成文本补全-SSE流式输出
+	 *
+	 * @param prompt 输入提示
+	 * @param callback 流式数据回调函数
+	 * @since 5.8.40
+	 */
+	void generate(String prompt, Consumer<String> callback);
+
+	/**
+	 * 生成文本补全（带选项）
+	 *
+	 * @param prompt 输入提示
+	 * @param format 响应格式
+	 * @return AI回答
+	 * @since 5.8.40
+	 */
+	String generate(String prompt, String format);
+
+	/**
+	 * 生成文本补全（带选项）-SSE流式输出
+	 *
+	 * @param prompt 输入提示
+	 * @param format 响应格式
+	 * @param callback 流式数据回调函数
+	 * @since 5.8.40
+	 */
+	void generate(String prompt, String format, Consumer<String> callback);
+
+	/**
+	 * 生成文本嵌入向量
+	 *
+	 * @param prompt 输入文本
+	 * @return 嵌入向量结果
+	 * @since 5.8.40
+	 */
+	String embeddings(String prompt);
+
+	/**
+	 * 列出本地可用的模型
+	 *
+	 * @return 模型列表
+	 * @since 5.8.40
+	 */
+	String listModels();
+
+	/**
+	 * 显示模型信息
+	 *
+	 * @param modelName 模型名称
+	 * @return 模型信息
+	 * @since 5.8.40
+	 */
+	String showModel(String modelName);
+
+	/**
+	 * 拉取模型
+	 *
+	 * @param modelName 模型名称
+	 * @return 拉取结果
+	 * @since 5.8.40
+	 */
+	String pullModel(String modelName);
+
+	/**
+	 * 删除模型
+	 *
+	 * @param modelName 模型名称
+	 * @return 删除结果
+	 * @since 5.8.40
+	 */
+	String deleteModel(String modelName);
+
+	/**
+	 * 复制模型
+	 *
+	 * @param source 源模型名称
+	 * @param destination 目标模型名称
+	 * @return 复制结果
+	 * @since 5.8.40
+	 */
+	String copyModel(String source, String destination);
+
+	/**
+	 * 简化的对话方法
+	 *
+	 * @param prompt 对话题词
+	 * @return AI回答
+	 * @since 5.8.40
+	 */
+	default String chat(String prompt) {
+		final List<Message> messages = new ArrayList<>();
+		messages.add(new Message("user", prompt));
+		return chat(messages);
+	}
+
+	/**
+	 * 简化的对话方法-SSE流式输出
+	 *
+	 * @param prompt 对话题词
+	 * @param callback 流式数据回调函数
+	 * @since 5.8.40
+	 */
+	default void chat(String prompt, Consumer<String> callback) {
+		final List<Message> messages = new ArrayList<>();
+		messages.add(new Message("user", prompt));
+		chat(messages, callback);
+	}
+}

hutool-ai/src/main/java/cn/hutool/ai/model/ollama/OllamaServiceImpl.java

@@ -0,0 +1,273 @@
+/*
+ * Copyright (c) 2025 Hutool Team and hutool.cn
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package cn.hutool.ai.model.ollama;
+
+import cn.hutool.ai.AIException;
+import cn.hutool.ai.core.AIConfig;
+import cn.hutool.ai.core.BaseAIService;
+import cn.hutool.ai.core.Message;
+import cn.hutool.core.bean.BeanPath;
+import cn.hutool.core.thread.ThreadUtil;
+import cn.hutool.core.util.StrUtil;
+import cn.hutool.http.Header;
+import cn.hutool.http.HttpRequest;
+import cn.hutool.http.HttpResponse;
+import cn.hutool.json.JSONObject;
+import cn.hutool.json.JSONUtil;
+
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.function.Consumer;
+
+/**
+ * Ollama服务，AI具体功能的实现
+ *
+ * @author yangruoyu-yumeisoft
+ * @since 5.8.40
+ */
+public class OllamaServiceImpl extends BaseAIService implements OllamaService {
+
+	// 对话补全
+	private static final String CHAT_ENDPOINT = "/api/chat";
+	// 文本生成
+	private static final String GENERATE_ENDPOINT = "/api/generate";
+	// 文本嵌入
+	private static final String EMBEDDINGS_ENDPOINT = "/api/embeddings";
+	// 列出模型
+	private static final String LIST_MODELS_ENDPOINT = "/api/tags";
+	// 显示模型信息
+	private static final String SHOW_MODEL_ENDPOINT = "/api/show";
+	// 拉取模型
+	private static final String PULL_MODEL_ENDPOINT = "/api/pull";
+	// 删除模型
+	private static final String DELETE_MODEL_ENDPOINT = "/api/delete";
+	// 复制模型
+	private static final String COPY_MODEL_ENDPOINT = "/api/copy";
+
+	/**
+	 * 构造函数
+	 *
+	 * @param config AI配置
+	 */
+	public OllamaServiceImpl(final AIConfig config) {
+		super(config);
+	}
+
+	@Override
+	public String chat(final List<Message> messages) {
+		final String paramJson = buildChatRequestBody(messages);
+		final HttpResponse response = sendPost(CHAT_ENDPOINT, paramJson);
+		JSONObject responseJson = JSONUtil.parseObj(response.body());
+		Object errorMessage = BeanPath.create("error").get(responseJson);
+		if(errorMessage!=null){
+			throw new RuntimeException(errorMessage.toString());
+		}
+		return BeanPath.create("message.content").get(responseJson).toString();
+	}
+
+	@Override
+	public void chat(final List<Message> messages, final Consumer<String> callback) {
+		Map<String, Object> paramMap = buildChatStreamRequestBody(messages);
+		ThreadUtil.newThread(() -> sendPostStream(CHAT_ENDPOINT, paramMap, callback::accept), "ollama-chat-sse").start();
+	}
+
+	@Override
+	public String generate(String prompt) {
+		final String paramJson = buildGenerateRequestBody(prompt, null);
+		final HttpResponse response = sendPost(GENERATE_ENDPOINT, paramJson);
+		return response.body();
+	}
+
+	@Override
+	public void generate(String prompt, Consumer<String> callback) {
+		Map<String, Object> paramMap = buildGenerateStreamRequestBody(prompt, null);
+		ThreadUtil.newThread(() -> sendPostStream(GENERATE_ENDPOINT, paramMap, callback::accept), "ollama-generate-sse").start();
+	}
+
+	@Override
+	public String generate(String prompt, String format) {
+		final String paramJson = buildGenerateRequestBody(prompt, format);
+		final HttpResponse response = sendPost(GENERATE_ENDPOINT, paramJson);
+		return response.body();
+	}
+
+	@Override
+	public void generate(String prompt, String format, Consumer<String> callback) {
+		Map<String, Object> paramMap = buildGenerateStreamRequestBody(prompt, format);
+		ThreadUtil.newThread(() -> sendPostStream(GENERATE_ENDPOINT, paramMap, callback::accept), "ollama-generate-sse").start();
+	}
+
+	@Override
+	public String embeddings(String prompt) {
+		final String paramJson = buildEmbeddingsRequestBody(prompt);
+		final HttpResponse response = sendPost(EMBEDDINGS_ENDPOINT, paramJson);
+		return response.body();
+	}
+
+	@Override
+	public String listModels() {
+		final HttpResponse response = sendGet(LIST_MODELS_ENDPOINT);
+		return response.body();
+	}
+
+	@Override
+	public String showModel(String modelName) {
+		final String paramJson = buildShowModelRequestBody(modelName);
+		final HttpResponse response = sendPost(SHOW_MODEL_ENDPOINT, paramJson);
+		return response.body();
+	}
+
+	@Override
+	public String pullModel(String modelName) {
+		final String paramJson = buildPullModelRequestBody(modelName);
+		final HttpResponse response = sendPost(PULL_MODEL_ENDPOINT, paramJson);
+		return response.body();
+	}
+
+	@Override
+	public String deleteModel(String modelName) {
+		final String paramJson = buildDeleteModelRequestBody(modelName);
+		final HttpResponse response = sendDeleteRequest(DELETE_MODEL_ENDPOINT, paramJson);
+		return response.body();
+	}
+
+	@Override
+	public String copyModel(String source, String destination) {
+		final String paramJson = buildCopyModelRequestBody(source, destination);
+		final HttpResponse response = sendPost(COPY_MODEL_ENDPOINT, paramJson);
+		return response.body();
+	}
+
+	// 构建chat请求体
+	private String buildChatRequestBody(final List<Message> messages) {
+		final Map<String, Object> paramMap = new HashMap<>();
+		paramMap.put("stream",false);
+		paramMap.put("model", config.getModel());
+		paramMap.put("messages", messages);
+		// 合并其他参数
+		paramMap.putAll(config.getAdditionalConfigMap());
+
+		return JSONUtil.toJsonStr(paramMap);
+	}
+
+	// 构建chatStream请求体
+	private Map<String, Object> buildChatStreamRequestBody(final List<Message> messages) {
+		final Map<String, Object> paramMap = new HashMap<>();
+		paramMap.put("stream", true);
+		paramMap.put("model", config.getModel());
+		paramMap.put("messages", messages);
+		// 合并其他参数
+		paramMap.putAll(config.getAdditionalConfigMap());
+
+		return paramMap;
+	}
+
+	// 构建generate请求体
+	private String buildGenerateRequestBody(final String prompt, final String format) {
+		final Map<String, Object> paramMap = new HashMap<>();
+		paramMap.put("model", config.getModel());
+		paramMap.put("prompt", prompt);
+		if (StrUtil.isNotBlank(format)) {
+			paramMap.put("format", format);
+		}
+		// 合并其他参数
+		paramMap.putAll(config.getAdditionalConfigMap());
+
+		return JSONUtil.toJsonStr(paramMap);
+	}
+
+	// 构建generateStream请求体
+	private Map<String, Object> buildGenerateStreamRequestBody(final String prompt, final String format) {
+		final Map<String, Object> paramMap = new HashMap<>();
+		paramMap.put("stream", true);
+		paramMap.put("model", config.getModel());
+		paramMap.put("prompt", prompt);
+		if (StrUtil.isNotBlank(format)) {
+			paramMap.put("format", format);
+		}
+		// 合并其他参数
+		paramMap.putAll(config.getAdditionalConfigMap());
+
+		return paramMap;
+	}
+
+	// 构建embeddings请求体
+	private String buildEmbeddingsRequestBody(final String prompt) {
+		final Map<String, Object> paramMap = new HashMap<>();
+		paramMap.put("model", config.getModel());
+		paramMap.put("prompt", prompt);
+		// 合并其他参数
+		paramMap.putAll(config.getAdditionalConfigMap());
+
+		return JSONUtil.toJsonStr(paramMap);
+	}
+
+	// 构建showModel请求体
+	private String buildShowModelRequestBody(final String modelName) {
+		final Map<String, Object> paramMap = new HashMap<>();
+		paramMap.put("name", modelName);
+
+		return JSONUtil.toJsonStr(paramMap);
+	}
+
+	// 构建pullModel请求体
+	private String buildPullModelRequestBody(final String modelName) {
+		final Map<String, Object> paramMap = new HashMap<>();
+		paramMap.put("name", modelName);
+
+		return JSONUtil.toJsonStr(paramMap);
+	}
+
+	// 构建deleteModel请求体
+	private String buildDeleteModelRequestBody(final String modelName) {
+		final Map<String, Object> paramMap = new HashMap<>();
+		paramMap.put("name", modelName);
+
+		return JSONUtil.toJsonStr(paramMap);
+	}
+
+	/**
+	 * 发送DELETE请求
+	 *
+	 * @param endpoint 请求端点
+	 * @param paramJson 请求参数JSON
+	 * @return 响应结果
+	 */
+	private HttpResponse sendDeleteRequest(String endpoint, String paramJson) {
+		try {
+			return HttpRequest.delete(config.getApiUrl() + endpoint)
+				.header(Header.CONTENT_TYPE, "application/json")
+				.header(Header.ACCEPT, "application/json")
+				.body(paramJson)
+				.timeout(config.getTimeout())
+				.execute();
+		} catch (Exception e) {
+			throw new AIException("Failed to send DELETE request: " + e.getMessage(), e);
+		}
+	}
+
+	// 构建copyModel请求体
+	private String buildCopyModelRequestBody(final String source, final String destination) {
+		Map<String, Object> requestBody = new HashMap<>();
+		requestBody.put("source", source);
+		requestBody.put("destination", destination);
+		return JSONUtil.toJsonStr(requestBody);
+	}
+
+}

hutool-ai/src/main/java/cn/hutool/ai/model/ollama/package-info.java

@@ -0,0 +1,42 @@
+/*
+ * Copyright (c) 2025 Hutool Team and hutool.cn
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+/**
+ * 对Ollama的封装实现.
+ *
+ * 使用方法：
+ * // 创建AI服务
+ * OllamaService aiService = AIServiceFactory.getAIService(
+ * 	new AIConfigBuilder(ModelName.OLLAMA.getValue())
+ * 		.setApiUrl("http://localhost:11434")
+ * 		.setModel("qwen2.5-coder:32b")
+ * 		.build(),
+ * 	OllamaService.class
+ * );
+ *
+ * // 构造上下文
+ * List<Message> messageList=new ArrayList<>();
+ * messageList.add(new Message("system","你是一个疯疯癫癫的机器人"));
+ * messageList.add(new Message("user","你能帮我做什么"));
+ *
+ * // 输出对话结果
+ * System.out.println(aiService.chat(messageList));
+ *
+ * @author yangruoyu-yumeisoft
+ * @since 5.8.40
+ */
+
+package cn.hutool.ai.model.ollama;

hutool-ai/src/main/resources/META-INF/services/cn.hutool.ai.core.AIConfig

@@ -3,3 +3,4 @@ cn.hutool.ai.model.deepseek.DeepSeekConfig
 cn.hutool.ai.model.openai.OpenaiConfig
 cn.hutool.ai.model.doubao.DoubaoConfig
 cn.hutool.ai.model.grok.GrokConfig
+cn.hutool.ai.model.ollama.OllamaConfig

hutool-ai/src/main/resources/META-INF/services/cn.hutool.ai.core.AIServiceProvider

@@ -3,3 +3,4 @@ cn.hutool.ai.model.deepseek.DeepSeekProvider
 cn.hutool.ai.model.openai.OpenaiProvider
 cn.hutool.ai.model.doubao.DoubaoProvider
 cn.hutool.ai.model.grok.GrokProvider
+cn.hutool.ai.model.ollama.OllamaProvider