OpenAI Function Call Java Example

From the project: https://github.com/HamaWhiteGG/langchain-java

Please refer to the ChatFunctionTest for the complete test code.

1. Core main process

  • Generates a ChatParameter instance that represents the given class.
  • Invoke the OpenAI API and return the function name and parameters.
  • Execute functions through the FunctionExecutor.

2. Step-by-step introduction

2.1 Declare function parameters and response

java 复制代码
public record Weather(
        @JsonProperty(required = true)
        @JsonPropertyDescription("The city and state, e.g. San Francisco, CA")
        String location,

        @JsonPropertyDescription("The temperature unit")
        WeatherUnit unit
) {}


public enum WeatherUnit {

    CELSIUS,
    FAHRENHEIT
}


@Data
@Builder
public class WeatherResponse {

    public String location;

    public WeatherUnit unit;

    public int temperature;

    public String description;
}


WeatherResponse getCurrentWeather(Weather weather) {
    // mock function
    return WeatherResponse.builder()
            .location(weather.location())
            .unit(weather.unit())
            .temperature(new Random().nextInt(50))
            .description("sunny")
            .build();
}

2.2 Generates a ChatParameter instance that represents the given class

Automatically convert Weather.class to ChatParameter using the ChatParameterUtils.generate method.

java 复制代码
ChatFunction.ChatParameter chatParameter = ChatParameterUtils.generate(Weather.class);

The output of converting chatParameter to JSON String is as follows:

json 复制代码
{
    "type" : "object",
    "properties" : {
        "location" : {
            "type" : "string",
            "description" : "The city and state, e.g. San Francisco, CA"
        },
        "unit" : {
            "type" : "string",
            "description" : "The temperature unit",
            "enum" : [
                "celsius",
                "fahrenheit"
            ]
        }
    },
    "required" : [
        "location"
    ]
}

2.3 Invoke the OpenAI API and return the function name and parameters.

java 复制代码
ChatFunction chatFunction = ChatFunction.builder()
        .name(functionName)
        .description("Get the current weather in a given location")
        .parameters(ChatParameterUtils.generate(Weather.class))
        .build();

Message message = Message.of("What is the weather like in Boston?");

ChatCompletion chatCompletion = ChatCompletion.builder()
        .model("gpt-4")
        .temperature(0)
        .messages(List.of(message))
        .tools(List.of(new Tool(chatFunction)))
        .toolChoice("auto")
        .build();

ChatCompletionResp response = client.createChatCompletion(chatCompletion);
ChatChoice chatChoice = response.getChoices().get(0);

The output of converting chatChoice to JSON String is as follows:

json 复制代码
{
    "index":0,
    "message":{
        "role":"assistant",
        "content":null,
        "tool_calls":[
            {
                "id":"call_aS4LspVVBkE8uIiBSLZWXe6O",
                "type":"function",
                "function":{
                    "name":"get_current_weather",
                    "arguments":"{\n  \"location\": \"Boston, MA\"\n}"
                }
            }
        ]
    },
    "finish_reason":"tool_calls"
}

2.4 Execute functions through the FunctionExecutor.

The code for FunctionExecutor is as follows, allowing the caller to avoid explicit type casting through generics, making the code more concise and elegant.

java 复制代码
public class FunctionExecutor {

    private static final Map<String, Function<?, ?>> FUNCTION_MAP = new HashMap<>(16);

    public static <T> void register(String functionName, Function<T, ?> function) {
        FUNCTION_MAP.put(functionName, function);
    }

    @SuppressWarnings("unchecked")
    public static <T, R> R execute(String functionName, Class<T> clazz, String arguments) throws ClassCastException {
        Function<T, R> function = (Function<T, R>) FUNCTION_MAP.get(functionName);
        if (function == null) {
            throw new IllegalArgumentException("No function registered with name: " + functionName);
        }
        T input = convertFromJsonStr(arguments, clazz);
        return function.apply(input);
    }
}

The caller's code is as follows:

java 复制代码
Function function = chatChoice.getMessage().getToolCalls().get(0).getFunction();

// execute function
WeatherResponse weatherResponse = FunctionExecutor.execute(function.getName(), Weather.class, function.getArguments());
System.out.println(weatherResponse)

The final result is:

shell 复制代码
WeatherResponse(location=Boston, MA, unit=null, temperature=2, description=sunny)
相关推荐
头发还在的女程序员6 小时前
医院陪诊管理系统怎么选择?——2026 年选型避坑与架构参考
java·开发语言·陪诊系统·陪诊app·医院陪诊陪护
CodeStats6 小时前
【Spring事务】Spring事务注解 @Transactional 完整体系:从 MySQL 隔离级别到 MyBatis 原理详解
java·spring·mybatis·事务·transactional
我命由我123457 小时前
Android 开发问题:为 PDFView 设置一个带有黑色边框的背景 drawable,但边框没有生效
android·java·java-ee·android studio·android jetpack·android-studio·android runtime
天然玩家8 小时前
【生产力】GPT-5.6 发布:前沿智能、智能体协作与更高性价比
llm·openai·gpt5.6
灵感__idea8 小时前
《AI工程》:构建应用,需要哪些技术?(解惑篇)
aigc·openai·ai编程
都叫我大帅哥9 小时前
从Python到Java:为什么企业级Agent最终会选择Java?
java·ai编程
wanderist.9 小时前
Lambda表达式在算法竞赛中的应用
java·开发语言·算法
东小西10 小时前
第12篇:《AI的幻觉差点让我背锅:于是我给它开了一场"开卷考试"》
openai·ai编程
腻害兔11 小时前
【若依项目-产品经理视角】RuoYi-Vue-Pro 源码拆解:IM 即时通讯模块,一个被低估的「全功能聊天系统」
java·前端·vue.js·产品经理·ai编程
心念枕惊11 小时前
.NET CORE 授权进阶-角色、策略与动态权限实现
java·前端·.netcore