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
都叫我大帅哥11 小时前
Java JJWT 完全指南:从入门到生产级实践
java
前端开发张小七12 小时前
Java 学习笔记 · 第一课:基础语法与核心概念
java·后端
ThsPool13 小时前
【ENVI二次开发学习整理 04】ENVI功能扩展与二次开发
java·前端·javascript
赤壁小虾13 小时前
【渲染流水线】[逐片元阶段]-[透明度测试]以UnityURP为例
java·前端·数据库
青山木14 小时前
Hot 100 --- 搜索插入位置
java·数据结构·算法·leetcode
Jul1en_14 小时前
【Claude Code Compact】源码级别的学习上下文压缩
java·前端·学习·github·ai编程
摇滚侠14 小时前
《SpringBoot 3:入门与应用实战》第 15 章 生产级特性 管理 Spring Boot 应用 阅读笔记
java·spring boot·笔记
XWalnut14 小时前
SpringBoot快速入门
java·spring boot·后端
前端 贾公子15 小时前
第06章:结构化输出 (上)
java·服务器·前端
念何架构之路15 小时前
restartmanager-重启管理子系统
java·开发语言