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如何让搜索引擎不收录网站,潮州东莞网站建设,网上营销网站,html5动画效果代码让LLM更懂函数返回类型当前，在向AI模型提供函数返回类型元数据这一领域，尚未有清晰明确的行业标准。当出现返回类型属性的名称无法让大语言模型（LLM）准确推断其内容，或者需要关联其他上下文信息、处理指令到返回类型&…

让LLM更懂函数返回类型

当前，在向AI模型提供函数返回类型元数据这一领域，尚未有清晰明确的行业标准。当出现返回类型属性的名称无法让大语言模型（LLM）准确推断其内容，或者需要关联其他上下文信息、处理指令到返回类型，以此来实现方案建模或增强方案效果的情况时，可考虑运用以下技术：

在对函数进行描述的过程中，清晰地给出函数返回类型的相关信息。
将函数返回类型的模式（schema）作为函数返回值的组成部分一并提供。

值得注意的是，在决定采用上述任何一种技术之前，最好先为返回类型属性拟定更具描述性的名称。这是因为这一举措是提升大语言模型（LLM）对返回类型理解程度的最直接途径，而且从令牌使用的角度来看，这种做法也能有效控制成本，具有较高的性价比。

准备工作

using PolyglotKernel= Microsoft.DotNet.Interactive.Kernel;// 引入交互式的内核命名空间，以便用户输入
using Microsoft.SemanticKernel.Connectors.OpenAI;var aiProviderCode = await PolyglotKernel.GetInputAsync("请输入AI服务提供商编码：");var kernel = GetKernel(aiProviderCode);
var chatCompletionService = kernel.GetRequiredService<IChatCompletionService>();

一、在函数描述中提供函数返回类型信息

有两种方法，但都需要手动添加返回类型元数据信息，当返回类型变更时需要同步更改，适用于返回类型比较稳定的场景。

1. 在函数中提供返回类型描述

以下定义了一个空气插件用于获取天气信息，包含温度、湿度、露点温度和风速信息。通过直接在[KernelFunction]中定义[Desciption]用自然语言直接描述返回值的单位信息。
此种情况适用于：

某些模型可能对函数描述的大小有限制
如果类型信息不重要
需要优先考虑最大限度地减少令牌消耗

using System.ComponentModel;/// <summary>
/// A plugin that provides the current weather data and describes the return type in the function <see cref="DescriptionAttribute"/>.
/// </summary>
private sealed class WeatherPlugin1
{[KernelFunction][Description("Returns current weather: Data1 - Temperature (°C), Data2 - Humidity (%), Data3 - Dew Point (°C), Data4 - Wind Speed (km/h)")]public WeatherData GetWeatherData(){return new WeatherData(){Data1 = 35.0,  // Temperature in degrees Celsius  Data2 = 20.0,  // Humidity in percentage  Data3 = 10.0,  // Dew point in degrees Celsius  Data4 = 15.0   // Wind speed in kilometers per hour};}public sealed class WeatherData{public double Data1 { get; set; }public double Data2 { get; set; }public double Data3 { get; set; }public double Data4 { get; set; }}
}

kernel.Plugins.Clear();
kernel.ImportPluginFromType<WeatherPlugin1>();OpenAIPromptExecutionSettings settings = new() { FunctionChoiceBehavior = FunctionChoiceBehavior.Auto() };
FunctionResult result = await kernel.InvokePromptAsync("What is the current weather?", new(settings));
Console.Write(result);

The current weather is as follows:
- Temperature: 35°C
- Humidity: 20%
- Dew Point: 10°C
- Wind Speed: 15 km/h

查看日志，可以看出发出的请求数据包如下：
第一次请求的数据：

{"tools": [{"function": {"description": "Returns current weather: Data1 - Temperature (°C), Data2 - Humidity (%), Data3 - Dew Point (°C), Data4 - Wind Speed (km/h)","name": "WeatherPlugin1-GetWeatherData","strict": false,"parameters": {"type": "object","required": [],"properties": {}}},"type": "function"}],"messages": [{"role": "user","content": "What is the current weather?"},],"model": "gpt-4o","tool_choice": "auto"
}

第二次请求的数据：

{"tools": [{"function": {"description": "Returns current weather: Data1 - Temperature (°C), Data2 - Humidity (%), Data3 - Dew Point (°C), Data4 - Wind Speed (km/h)","name": "WeatherPlugin1-GetWeatherData","strict": false,"parameters": {"type": "object","required": [],"properties": {}}},"type": "function"}],"messages": [{"role": "user","content": "What is the current weather?"},{"role": "assistant","content": "","tool_calls": [{"id": "call_M9mfYHD8nLiFTiF0HOiLT2r2","function": {"name": "WeatherPlugin1-GetWeatherData","arguments": "{}"},"type": "function"}]},{"role": "tool","tool_call_id": "call_M9mfYHD8nLiFTiF0HOiLT2r2","content": "{"Data1":35,"Data2":20,"Data3":10,"Data4":15}"}],"model": "gpt-4o","tool_choice": "auto"
}

2. 在函数描述中添加返回类型元数据

以下定义了一个空气插件用于获取天气信息，包含温度、湿度、露点温度和风速信息。通过直接在[KernelFunction]中定义[Description]来描述返回值的单位信息，其中[Description]中包含返回值的元数据信息：

{"type": "object","properties": {"Data1": {"description": "Temperature (°C)","type": "number"},"Data2": {"description": "Humidity(%)","type": "number"},"Data3": {"description": "Dew point (°C)","type": "number"},"Data4": {"description": "Wind speed (km/h)","type": "number"}}
}

using System.ComponentModel;/// <summary>
/// A plugin that provides the current weather data and specifies the return type schema in the function <see cref="DescriptionAttribute"/>.
/// </summary>
private sealed class WeatherPlugin2
{[KernelFunction][Description("""Returns current weather: {"type":"object","properties":{"Data1":{"description":"Temperature (°C)","type":"number"},"Data2":{"description":"Humidity(%)","type":"number"}, "Data3":{"description":"Dew point (°C)","type":"number"},"Data4":{"description":"Wind speed (km/h)","type":"number"}}}""")]public WeatherData GetWeatherData(){return new WeatherData(){Data1 = 35.0,  // Temperature in degrees Celsius  Data2 = 20.0,  // Humidity in percentage  Data3 = 10.0,  // Dew point in degrees Celsius  Data4 = 15.0   // Wind speed in kilometers per hour};}public sealed class WeatherData{public double Data1 { get; set; }public double Data2 { get; set; }public double Data3 { get; set; }public double Data4 { get; set; }}
}

kernel.Plugins.Clear();
kernel.ImportPluginFromType<WeatherPlugin2>();OpenAIPromptExecutionSettings settings = new() { FunctionChoiceBehavior = FunctionChoiceBehavior.Auto() };
FunctionResult result = await kernel.InvokePromptAsync("What is the current weather?", new(settings));
Console.WriteLine(result);

The current weather is as follows:
- Temperature: 35°C
- Humidity: 20%
- Dew point: 10°C
- Wind speed: 15 km/h

查看日志，可以看出发出的请求数据包如下：

{"tools": [{"function": {"description": "Returns current weather: {"type":"object","properties":{"Data1":{"description":"Temperature (°C)","type":"number"},"Data2":{"description":"Humidity(%)","type":"number"}, "Data3":{"description":"Dew point (°C)","type":"number"},"Data4":{"description":"Wind speed (km/h)","type":"number"}}}","name": "WeatherPlugin2-GetWeatherData","strict": false,"parameters": {"type": "object","required": [],"properties": {}}},"type": "function"}],"messages": [{"role": "user","content": "What is the current weather?"},{"role": "assistant","content": "","tool_calls": [{"id": "call_HjCyu9atNmesxuOc0cAyeafP","function": {"name": "WeatherPlugin2-GetWeatherData","arguments": "{}"},"type": "function"}]},{"role": "tool","tool_call_id": "call_HjCyu9atNmesxuOc0cAyeafP","content": "{"Data1":35,"Data2":20,"Data3":10,"Data4":15}"}],"model": "gpt-4o","tool_choice": "auto"
}

二、实现函数返回值重写过滤器

之前介绍了可以通过实现自定义IAutoFunctionInvocationFilter接口来实现请求重写。
以下定义了一个空气插件用于获取天气信息，包含温度、湿度、露点温度和风速信息。并没有在[KernelFucntion]中添加返回值描述，而是在返回类型中定义[Description]来描述各个属性，然后通过过滤器来重写返回值，将返回类型的元数据包含在其中。

    /// <summary>/// A plugin that provides the current weather data and provides descriptions for the return type properties./// </summary>private sealed class WeatherPlugin3{[KernelFunction]public WeatherData GetWeatherData(){return new WeatherData(){Data1 = 35.0,  // Temperature in degrees Celsius  Data2 = 20.0,  // Humidity in percentage  Data3 = 10.0,  // Dew point in degrees Celsius  Data4 = 15.0   // Wind speed in kilometers per hour};}public sealed class WeatherData{[Description("Temp (°C)")]public double Data1 { get; set; }[Description("Humidity (%)")]public double Data2 { get; set; }[Description("Dew point (°C)")]public double Data3 { get; set; }[Description("Wind speed (km/h)")]public double Data4 { get; set; }}}

/// <summary>
/// A auto function invocation filter that replaces the original function's result with a new result that includes both the original result and its schema.
/// </summary>
private sealed class AddReturnTypeSchemaFilter : IAutoFunctionInvocationFilter
{public async Task OnAutoFunctionInvocationAsync(AutoFunctionInvocationContext context, Func<AutoFunctionInvocationContext, Task> next){// Invoke the functionawait next(context);// Crete the result with the schemaFunctionResultWithSchema resultWithSchema = new(){Value = context.Result.GetValue<object>(),                  // Get the original resultSchema = context.Function.Metadata.ReturnParameter?.Schema  // Get the function return type schema};// Return the result with the schema instead of the original onecontext.Result = new FunctionResult(context.Result, resultWithSchema);}private sealed class FunctionResultWithSchema{public object? Value { get; set; }public KernelJsonSchema? Schema { get; set; }}
}

kernel.AutoFunctionInvocationFilters.Add(new AddReturnTypeSchemaFilter());
// Import the plugin that provides descriptions for the return type properties.   
// This additional information is used when extracting the schema from the return type.
kernel.Plugins.Clear();
kernel.ImportPluginFromType<WeatherPlugin3>();
OpenAIPromptExecutionSettings settings = new() { FunctionChoiceBehavior = FunctionChoiceBehavior.Auto() };
FunctionResult result = await kernel.InvokePromptAsync("What is the current weather?", new(settings));
Console.WriteLine(result);

The current weather is as follows:
- Temperature: 35°C
- Humidity: 20%
- Dew Point: 10°C
- Wind Speed: 15 km/h

查看日志，可以看出发出的请求如下：
第一次请求：

{"tools": [{"function": {"description": "","name": "WeatherPlugin3-GetWeatherData","strict": false,"parameters": {"type": "object","required": [],"properties": {}}},"type": "function"}],"messages": [{"role": "user","content": "What is the current weather?"}],"model": "gpt-4o","tool_choice": "auto"
}

第二次请求：

{"tools": [{"function": {"description": "","name": "WeatherPlugin3-GetWeatherData","strict": false,"parameters": {"type": "object","required": [],"properties": {}}},"type": "function"}],"messages": [{"role": "user","content": "What is the current weather?"},{"role": "assistant","content": "","tool_calls": [{"id": "call_wb7JgQOZ8e4jXgkclXmR7pik","function": {"name": "WeatherPlugin3-GetWeatherData","arguments": "{}"},"type": "function"}]},{"role": "tool","tool_call_id": "call_wb7JgQOZ8e4jXgkclXmR7pik","content": "{"Value":{"Data1":35,"Data2":20,"Data3":10,"Data4":15},"Schema":{"type":"object","properties":{"Data1":{"description":"Temp (°C)","type":"number"},"Data2":{"description":"Humidity (%)","type":"number"},"Data3":{"description":"Dew point (°C)","type":"number"},"Data4":{"description":"Wind speed (km/h)","type":"number"}}}}"}],"model": "gpt-4o","tool_choice": "auto"
}