<properties>
    <java.version>17</java.version>
    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    <project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
    <spring-boot.version>3.2.0</spring-boot.version>
    <spring-ai.version>1.0.0-M2</spring-ai.version>
</properties>
<dependencies>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-web</artifactId>
    </dependency>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-test</artifactId>
        <scope>test</scope>
    </dependency>
    <!-- Spring AI Ollama  starter -->
    <dependency>
        <groupId>org.springframework.ai</groupId>
        <artifactId>spring-ai-ollama-spring-boot-starter</artifactId>
        <version>${spring-ai.version}</version>
    </dependency>
</dependencies>
<dependencyManagement>
    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-dependencies</artifactId>
            <version>${spring-boot.version}</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
        <dependency>
            <groupId>org.springframework.ai</groupId>
            <artifactId>spring-ai-bom</artifactId>
            <version>${spring-ai.version}</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
    </dependencies>
</dependencyManagement>
<!-- Spring AI 里程碑/快照仓库（必须配置，否则依赖无法下载） -->
<repositories>
    <repository>
        <id>spring-milestones</id>
        <name>Spring Milestones</name>
        <url>https://repo.spring.io/milestone</url>
        <snapshots>
            <enabled>false</enabled>
        </snapshots>
    </repository>
    <repository>
        <id>spring-snapshots</id>
        <name>Spring Snapshots</name>
        <url>https://repo.spring.io/snapshot</url>
        <releases>
            <enabled>false</enabled>
        </releases>
    </repository>
</repositories>

server:
  port: 18080
# Ollama 服务地址（默认端口 11434）
  # spring.ai.ollama.base-url=http://localhost:11434
  # 指定使用的 DeepSeek 模型（与 ollama pull 的模型名一致）
  # spring.ai.ollama.chat.options.model=deepseek-r1:1.5b
  # 温度参数（0~1，值越小越严谨，值越大越有创造性）
  # spring.ai.ollama.chat.options.temperature=0.7
spring:
  ai:
    ollama:
      chat:
        options:
          model: qwen2:0.5b
          temperature: 8.7
      base-url: http://192.168.91.164:11434

import org.springframework.ai.ollama.OllamaChatModel;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;
@RequestMapping("/openai")
@ResponseBody
@RestController
public class OllamaChatModelController {
    @Autowired
    private OllamaChatModel ollamaChatModel;
    /**
     * AI 对话测试接口
     * @param message 用户提问
     * @return 模型回复
     */
    @GetMapping("/simple/ollama")
    public String generate(
            @RequestParam(value = "message", defaultValue = "hello") String message) {
        String response = this.ollamaChatModel.call(message);
         //no_think关闭模型的「思考 / 推理过程输出」，只给你最终答案

        //System.out.println(ollamachatModel.call("你好你是谁?/no_think'))  

        System.out.println("response : " + response);
        return response;
    }

@GetMapping("/simple/ollamastream")
public void generatestream (
        @RequestParam(value = "message", defaultValue = "hello") String message) {
    Flux<String> stream= this.ollamaChatModel.stream(message);
    stream.toIterable().forEach(System.out::println);
}

}

4、浏览器
http://localhost:18080/openai/simple/ollama?message=who are you

 5、

ollama模型可以
/set nothink = 关闭模型的「思考 / 推理过程输出」，只给你最终答案