Aeex.LLMService.Baidu.Wenxin 0.0.5.1-preview

ChatGPT、文心一言、百度智能作画 SDK (.net6.0+)

Aeex.LLMService 是一个非官方的开源项目.提供了在.NET6.0 .NET8.0项目中使用接口调用OpenAI ChatGPT、百度文心大模型和百度智能绘图高级版功能.

已知问题

安装

通过Nuget安装.

OpenAI ChatGPT

Nuget地址

Package Manager

Install-Package Aeex.LLMService.OpenAI.ChatGPT

Cli

dotnet add package Aeex.LLMService.OpenAI.ChatGPT

文心大模型

Nuget地址

Package Manager

Install-Package Aeex.LLMService.Baidu.Wenxin

Cli

dotnet add package Aeex.LLMService.Baidu.Wenxin

智能绘图V2

Nuget地址

Package Manager

Install-Package Aeex.LLMService.Baidu.ErnieVilg

Cli

dotnet add package Aeex.LLMService.Baidu.ErnieVilg

使用

1. 在ConfigureService方法中添加依赖注入

public void ConfigureServices(IServiceCollection services, IConfiguration config){
    //....
    
    // Ensure HttpContext injected. It will be accessed in Chat service.
    services.AddHttpContextAccessor();

    // inject image storage provider
    services.AddTransient<IImageStorageProvider, LocalImageStorageProvider>();
    // inject chat data provider
    // for baidu chat caching
    services.AddTransient<IChatDataProvider<ChatMessageBase, string>, ChatDataProvider<ChatMessageBase, string>>();
    // for chatgpt
    services.AddTransient<IChatDataProvider<OpenAIChatMessage, List<OpenAIMessageContent>>, ChatDataProvider<OpenAIChatMessage, List<OpenAIMessageContent>>>();
    
    // inject service
    services.AddChatGPT(config);
    services.AddWenxinworkshop(config);
    services.AddErnieVilg(config);

    //...
}

2. Have fun!

    /// <summary>
    /// 集成百度AI类api
    /// </summary>
    [ApiVersion("1.0")]
    [ApiController]
    [Route("api/v{version:apiVersion}/baidu")]
    public class BaiduApiController(
        IBaiduErniebotLLMService baiduApiService,
        IAIPaintApiService<PaintApplyRequest, PaintResultResponse> ernieVilgApiService) : ControllerBase
    {
        /// <summary>
        /// The API service
        /// </summary>
        private readonly IBaiduErniebotLLMService _apiService = baiduApiService;
        /// <summary>
        /// The ernie vilg API service
        /// </summary>
        private readonly IAIPaintApiService<PaintApplyRequest, PaintResultResponse> _ernieVilgApiService = ernieVilgApiService;

        /// <summary>
        /// 发起文心一言大模型对话
        /// </summary>
        /// <param name="request">The request.</param>
        /// <returns></returns>
        [HttpPost("chat")]
        [ProducesResponseType(typeof(string), 200)]
        [ProducesResponseType(typeof(ChatApiResponse), 200)]
        public async Task Chat(ChatRequest request)
        {
            await _apiService.Chat(request);
        }

        /// <summary>
        /// 文生图
        /// <para>封装文生图api以及回调获取生成图片api</para>
        /// </summary>
        /// <param name="request">The request.</param>
        /// <returns></returns>
        [HttpPost("text2img")]
        [ProducesResponseType(typeof(PaintResultResponse), 200)]
        public async Task<IActionResult> ApplyText2Img(PaintApplyRequest request)
        {
            var result = await _ernieVilgApiService.Text2Image(request);
            Response.BuildAIGeneratedResponseFeature();
            return Ok(result);
        }
    }

    [ApiVersion("1.0")]
    [ApiController]
    [Route("api/v{version:apiVersion}/chatgpt")]
    [ApiExplorerSettings(GroupName = "ChatGPT")]
    public class ChatGPTApiController(
        IChatGPTLLMService gptService): ControllerBase
    {

        /// <summary>
        /// The API service
        /// </summary>
        private readonly IChatGPTLLMService _apiService = gptService;

        /// <summary>
        /// 发起ChatGPT对话
        /// eg.
        /// what is the difference between star and planet?
        /// </summary>
        /// <param name="request">The request.</param>
        /// <returns></returns>
        [HttpPost("chat")]
        [ProducesResponseType(typeof(string), 200)]
        [ProducesResponseType(typeof(OpenAIChatResponse), 200)]
        [AppExceptionInterceptor(ReturnCode = -100001, ApiVersion = "1.0")]
        public async Task Chat(ChatRequest request)
        {
            await _apiService.Chat(request);
        }

    }

支持的模型

Aeex.LLMService 支持的语言模型列表如下：

项目说明