场景
Spring AI 整合 Ollama 实现工具调用:从入门到实战全解:
https://blog.csdn.net/BADAO_LIUMANG_QIZHI/article/details/161009153
在上面调用tool的基础上,实现工具链的使用示例。
Spring AI 提供了强大的 Tool Calling 能力,允许大模型在对话中自主决定调用哪些外部工具,
并自动组合它们的执行顺序。
这种机制让智能体能够完成复杂的多步骤任务,例如“查询北京天气并用英文回答”
——模型会先调用天气工具获取数据,再调用翻译工具输出英文。
核心概念
| Tool Calling | |
| @Tool 注解 | |
| 多工具注册 | defaultTools(...) 同时注册多个工具,模型可自主选择调用顺序和组合。 |
| 链式调用 |
注:
博客:https://blog.csdn.net/badao_liumang_qizhi
实现
pom.xml
<parent><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-parent</artifactId><version>3.3.3</version> <!-- 降级为稳定版,解决冲突 --></parent><groupId>com.example</groupId><artifactId>spring-ai-ollama-tool-chain</artifactId><version>1.0</version><properties><java.version>17</java.version><spring-ai.version>1.1.2</spring-ai.version></properties><dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId></dependency><!-- Spring AI Ollama 核心 --><dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-starter-model-ollama</artifactId><version>${spring-ai.version}</version></dependency></dependencies>
application.yml
server:port: 886spring:ai:ollama:base-url: http://localhost:11434chat:model: qwen2.5:7b-instructoptions:temperature: 0.7num-ctx: 4096 # 上下文窗口大小logging:level:org.springframework.ai.chat.client: DEBUG # 查看工具调用详情
天气工具
package com.badao.ai.tools;import org.springframework.ai.tool.annotation.Tool;import org.springframework.ai.tool.annotation.ToolParam;import org.springframework.stereotype.Component;@Componentpublic class WeatherTool {@Tool(name = "get_weather", description = "查询指定城市的实时天气")public String getWeather(@ToolParam(description = "城市名称") String city) {System.out.println("调用了天气工具");// 模拟天气数据return String.format("%s当前天气:晴,温度22℃,湿度45%%。", city);}}
翻译工具
package com.badao.ai.tools;import org.springframework.ai.tool.annotation.Tool;import org.springframework.ai.tool.annotation.ToolParam;import org.springframework.stereotype.Component;@Componentpublic class TranslateTool {@Tool(name = "translate_to_english", description = "将中文文本翻译成英文")public String translate(@ToolParam(description = "待翻译的中文文本") String text) {System.out.println("调用了翻译工具");// 模拟翻译,实际可接入翻译APIreturn "Translated: " + text + " (This is the English version.)";}}
工具注册配置类
package com.badao.ai.config;import com.badao.ai.tools.WeatherTool;import com.badao.ai.tools.TranslateTool;import org.springframework.ai.chat.client.ChatClient;import org.springframework.ai.chat.model.ChatModel;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;@Configurationpublic class ToolConfig {@Beanpublic ChatClient chatClient(ChatModel chatModel,WeatherTool weatherTool,TranslateTool translateTool) {return ChatClient.builder(chatModel).defaultTools(weatherTool, translateTool) // 注册天气和翻译工具.build();}}
Agent 服务层
package com.badao.ai.service;import org.springframework.ai.chat.client.ChatClient;import org.springframework.stereotype.Service;@Servicepublic class AgentService {private final ChatClient chatClient;public AgentService(ChatClient chatClient) {this.chatClient = chatClient;}public String ask(String question) {return chatClient.prompt().user(question+ "(请先用天气工具,再用翻译工具)").call().content();}}
控制器
package com.badao.ai.controller;import com.badao.ai.service.AgentService;import org.springframework.web.bind.annotation.*;@RestController@RequestMapping("/api")public class AgentController {private final AgentService agentService;public AgentController(AgentService agentService) {this.agentService = agentService;}@PostMapping("/agent")public String ask(@RequestBody String question) {return agentService.ask(question);}}
测试
测试单工具

测试工具链

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