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Add Chatbot UI.

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Haiping Chen 2023-05-25 20:36:15 -05:00
parent 70523e4ad5
commit 96e64e60fb
49 changed files with 358 additions and 987 deletions
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BotSharp.sln
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@ -9,216 +9,119 @@ Project("{2150E333-8FDC-42A3-9474-1A3956D46DE8}") = "Platforms", "Platforms", "{
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12
Infrastructure/BotSharp.Abstraction/Enums/LlmResponseExtractType.cs
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@ -1,12 +0,0 @@
using System;
using System.Collections.Generic;
using System.Text;
namespace Abstraction.Enums;
public enum LlmResponseExtractType
{
Text = 1,
Html = 2,
Json = 3
}

16
Infrastructure/BotSharp.Abstraction/ILlmAgent.cs
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@ -1,16 +0,0 @@
using Abstraction.Models;
using System;
using System.Collections.Generic;
using System.Text;
using System.Threading.Tasks;
namespace Abstraction;
public interface ILlmAgent : IDisposable
{
bool LoggedIn { get; }
Task OpenDriver();
Task Login();
LlmResponse NewSession(LlmPromptInput prompt);
LlmResponse Interact(LlmPromptInput input, bool isAsync);
}

34
Infrastructure/BotSharp.Abstraction/Models/LlmPromptInput.cs
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@ -1,34 +0,0 @@
using Abstraction.Enums;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Security.Cryptography;
using System.Text;
namespace Abstraction.Models;
public class LlmPromptInput
{
public string Model { get; set; } = string.Empty;
public LlmResponseExtractType Format { get; set; }
public string SessionId { get; set; } = string.Empty;
public List<string> Prompts { get; set; } = new List<string>();
public override int GetHashCode()
{
var value = SessionId + "-" + string.Join(" | ", Prompts);
return Md5(value).GetHashCode();
}
private string Md5(string input)
{
using var md5 = MD5.Create();
var byteHash = md5.ComputeHash(Encoding.UTF8.GetBytes(input.ToLower()));
return BitConverter.ToString(byteHash).Replace("-", "").ToLower();
}
public override string ToString()
{
return $"{SessionId}: {Prompts.FirstOrDefault()}";
}
}

12
Infrastructure/BotSharp.Abstraction/Models/LlmResponse.cs
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@ -1,12 +0,0 @@
using Abstraction.Enums;
namespace Abstraction.Models;
public class LlmResponse
{
public string Model { get; set; } = string.Empty;
public LlmResponseExtractType Format { get; set; }
public string SessionId { get; set; } = string.Empty;
public string Content { get; set; } = string.Empty;
public bool Success { get; set; }
}

12
Infrastructure/BotSharp.Abstraction/Models/OpenAiSettings.cs
View file

@ -1,12 +0,0 @@
using System;
using System.Collections.Generic;
using System.Text;
namespace Abstraction.Models;
public class OpenAiSettings
{
public string UserName { get; set; }
public string Password { get; set; }
public bool IsGoogleAccount { get; set; }
}

33
Platforms/BotSharp.Platform.Dialogflow/BotSharp.Platform.Dialogflow.csproj
View file

@ -1,33 +0,0 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFramework>netstandard2.1</TargetFramework>
<GeneratePackageOnBuild>true</GeneratePackageOnBuild>
<Version>0.2.2</Version>
<GenerateDocumentationFile>true</GenerateDocumentationFile>
<NoWarn>$(NoWarn);1591</NoWarn>
</PropertyGroup>
<PropertyGroup>
<Authors>Haiping Chen</Authors>
<Description>BotSharp platform emulator which is compatible with Google Dialogflow.</Description>
<PackageProjectUrl>https://github.com/Oceania2018/botsharp-dialogflow</PackageProjectUrl>
<Copyright>Apache 2.0</Copyright>
<RepositoryUrl>https://github.com/Oceania2018/botsharp-dialogflow</RepositoryUrl>
<RepositoryType>git</RepositoryType>
<PackageTags>Dialogflow,Chatbot</PackageTags>
</PropertyGroup>
<PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|AnyCPU'">
<DefineConstants>DEBUG;TRACE</DefineConstants>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Turing.NET" Version="1.0.0" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\Infrastructure\BotSharp.Core\BotSharp.Core.csproj" />
</ItemGroup>
</Project>

29
Platforms/BotSharp.Platform.Dialogflow/README.md
View file

@ -1,29 +0,0 @@
# botsharp-dialogflow
BotSharp platform extension which is compatible with Google Dialogflow.
### How to install
```
PM> Install-Package BotSharp.Platform.Dialogflow
```
### How to use
```
private IPlatformBuilder<AgentModel> nluPlatform = null;
public CustomMessageHandler(IPlatformBuilder<AgentModel> nluPlatform)
{
this.nluPlatform = nluPlatform;
}
// send text to BotSharp platform emulator
var aIResponse = nluPlatform.TextRequest<AIResponseResult>(new AiRequest
{
Text = requestMessage.Content,
AgentId = "REPLACE_AGENT_ID", // replace to your chabot's id
SessionId = requestMessage.FromUserName
});
```
### How to run locally
```
git clone https://github.com/dotnetcore/BotSharp
```

84
Platforms/BotSharp.Platform.OpenAi/GPT-4.ExtractGptResponse.cs
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@ -1,84 +0,0 @@
using Abstraction.Enums;
using Microsoft.Extensions.DependencyInjection;
using OpenQA.Selenium;
using OpenQA.Selenium.Support.UI;
using StackExchange.Redis;
using System;
using System.Collections.ObjectModel;
using System.Linq;
using System.Text.RegularExpressions;
using System.Threading;
using System.Threading.Tasks;
namespace ChatGPT;
public partial class GPT4
{
private async Task ExtractResponseAsync(string sessionId, LlmResponseExtractType format)
{
var redis = _serviceProvider.GetRequiredService<IConnectionMultiplexer>();
var db = redis.GetDatabase();
var tokenSource = new CancellationTokenSource();
tokenSource.CancelAfter(TimeSpan.FromSeconds(60));
var token = tokenSource.Token;
Console.WriteLine();
await Task.Run(async () =>
{
while (!token.IsCancellationRequested )
{
Thread.Sleep(100);
var regenerateResponse = _driver.FindElements(By.XPath("//div[text()='Regenerate response']"));
var end = regenerateResponse.Count > 0 ? "1" : "0";
var element = _driver.FindElements(By.CssSelector("main div.text-base")).Last();
var content = element.GetAttribute("innerText").Trim();
if (string.IsNullOrEmpty(content))
{
continue;
}
await db.StreamAddAsync(sessionId, new[]
{
new NameValueEntry("content", content),
new NameValueEntry("end", end)
});
if(end == "1")
{
tokenSource.Cancel();
}
}
});
}
private string ExtractGptResponse(LlmResponseExtractType format)
{
new WebDriverWait(_driver, TimeSpan.FromSeconds(180))
.Until(drv => drv.FindElement(By.XPath("//div[text()='Regenerate response']")));
var element = _driver.FindElements(By.CssSelector("main div.text-base")).Last();
if (string.IsNullOrEmpty(element.GetAttribute("innerText")))
{
return string.Empty;
}
var content = element.GetAttribute("innerText");
if (format == LlmResponseExtractType.Json)
{
content = content.Replace("\r", "").Replace("\n", "");
content = content.Replace("Explanation:", "\nExplanation:");
var json = Regex.Match(content, "{[ ]{0,}(\").*}").Value;
return json;
}
else
{
var responses = _driver.FindElements(By.CssSelector("div.markdown"));
if (format == LlmResponseExtractType.Html)
return responses.Last().GetAttribute("innerHTML");
else
return responses.Last().Text;
}
}
}

43
Platforms/BotSharp.Platform.OpenAi/GPT-4.Input.cs
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@ -1,43 +0,0 @@
using OpenQA.Selenium;
using OpenQA.Selenium.Interactions;
using System;
using System.Runtime.InteropServices;
namespace ChatGPT;
public partial class GPT4
{
[DllImport("user32.dll")]
internal static extern bool OpenClipboard(IntPtr hWndNewOwner);
[DllImport("user32.dll")]
internal static extern bool CloseClipboard();
[DllImport("user32.dll")]
internal static extern bool SetClipboardData(uint uFormat, IntPtr data);
private void InputText(IWebElement textarea, string text)
{
OpenClipboard(IntPtr.Zero);
var ptr = Marshal.StringToHGlobalUni(text);
SetClipboardData(13, ptr);
CloseClipboard();
//textarea.ScrollTopToBottom();
var actions = new Actions(_driver);
actions.MoveToElement(textarea)
.Click(textarea)
.KeyDown(Keys.LeftControl).KeyDown("v")
.KeyUp(Keys.LeftControl).KeyUp("v")
.Perform();
//textarea.ScrollTopToBottom();
}
private void InputNewLine()
{
var actions = new Actions(_driver);
actions.KeyDown(Keys.Shift).KeyDown(Keys.Enter)
.KeyUp(Keys.Shift).KeyUp(Keys.Enter)
.Perform();
}
}

139
Platforms/BotSharp.Platform.OpenAi/GPT-4.Interact.cs
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@ -1,139 +0,0 @@
using Abstraction.Models;
using ChatGPT.Models;
using Newtonsoft.Json;
using OpenQA.Selenium;
using OpenQA.Selenium.Support.Extensions;
using System;
using System.Threading;
namespace ChatGPT;
public partial class GPT4
{
public LlmResponse Interact(LlmPromptInput input, bool isAsync)
{
/*var msg = new ConversationPost
{
Action = "next",
Model = "gpt-4",
VariantPurpose = "none",
Messages = new System.Collections.Generic.List<ConversationMessageBody>
{
new ConversationMessageBody
{
Id = Guid.NewGuid().ToString(),
Author = new ConversationAuthor
{
Role = "user"
},
Content = new ConversationContent
{
ContentType = "text",
Parts = input.Prompts
}
}
},
ParentMessageId = Guid.NewGuid().ToString()
};
var js = @$"var xhr = new XMLHttpRequest();
xhr.open('POST', 'https://chat.openai.com/backend-api/conversation', false);
xhr.setRequestHeader('Content-type', 'application/json');
xhr.setRequestHeader('authorization','Bearer {_token.AccessToken}');
xhr.send('{JsonConvert.SerializeObject(msg)}');
return xhr.response;";
var json = _driver.ExecuteJavaScript<string>(js);*/
Console.WriteLine($"---------- {input.SessionId} {DateTime.UtcNow}");
Console.WriteLine(string.Join('\r', input.Prompts));
var response = new LlmResponse
{
SessionId = input.SessionId,
Format = input.Format,
Success = true
};
// Switch to session window
if (!string.IsNullOrEmpty(input.SessionId) && input.SessionId != Guid.Empty.ToString())
{
if (!_activeTabs.ContainsKey(input.SessionId))
{
bool activated = false;
foreach (var tab in _driver.WindowHandles)
{
_driver.SwitchTo().Window(tab);
if (_driver.Url.Contains(input.SessionId))
{
activated = true;
break;
}
}
if (!activated)
{
_driver.Navigate().GoToUrl($"https://chat.openai.com/chat/{input.SessionId}");
}
}
}
else
{
_driver.SwitchTo().Window(_driver.WindowHandles[0]);
}
Thread.Sleep(1000);
var textarea = _driver.FindElement(By.CssSelector("main textarea"));
bool isFirstLine = true;
foreach (var p in input.Prompts)
{
if (string.IsNullOrEmpty(p))
{
InputNewLine();
}
else
{
if (!isFirstLine)
{
InputNewLine();
}
var text = p;//.Replace("\r", "\n");
/*foreach (var c in text.Split('\n'))
{
if (c.Length > 128)
{
InputText(textarea, c);
}
else
{
textarea.SendKeys(c);
}
InputNewLine();
}*/
if (text.Length > 64)
{
InputText(textarea, text);
}
else
{
textarea.SendKeys(text);
}
isFirstLine = false;
}
}
textarea.SendKeys(Keys.Enter);
if (isAsync)
{
ExtractResponseAsync(input.SessionId, input.Format);
}
else
{
response.Content = ExtractGptResponse(input.Format);
}
return response;
}
}

111
Platforms/BotSharp.Platform.OpenAi/GPT-4.Login.cs
View file

@ -1,111 +0,0 @@
using Abstraction.Models;
using ChatGPT.Models;
using Microsoft.Extensions.DependencyInjection;
using Newtonsoft.Json;
using OpenQA.Selenium;
using OpenQA.Selenium.Support.Extensions;
using OpenQA.Selenium.Support.UI;
using System;
using System.Linq;
using System.Threading;
using System.Threading.Tasks;
namespace ChatGPT;
public partial class GPT4
{
bool _isLoggedIn = false;
public bool LoggedIn => _isLoggedIn;
GetTokenResponse _token;
public async Task Login()
{
if (_isLoggedIn)
{
return;
}
await OpenDriver();
_driver.Navigate().GoToUrl("https://chat.openai.com/");
var textarea = _driver.FindElements(By.CssSelector("main textarea"));
if (textarea.Count() == 1)
{
_isLoggedIn = true;
return;
}
// https://selenium-python.readthedocs.io/waits.html
new WebDriverWait(_driver, TimeSpan.FromSeconds(5))
.Until(drv => drv.FindElement(By.TagName("button")));
// https://selenium-python.readthedocs.io/locating-elements.html#locating-elements-by-class-name
var loginButton = _driver.FindElement(By.TagName("button"));
loginButton.Click();
var openAiSettings = _serviceProvider.GetRequiredService<OpenAiSettings>();
// login in Google account
// LoginInGoogleAccount(openAiSettings);
// login in username
LoginInUserName(openAiSettings);
}
private void LoginInGoogleAccount(OpenAiSettings openAiSettings)
{
var continueWithGoogle = _driver.FindElement(By.XPath("//button[@data-provider='google']"));
continueWithGoogle.Click();
var email = _driver.FindElement(By.Id("identifierId"));
email.SendKeys(openAiSettings.UserName);
var next = _driver.FindElement(By.XPath("//span[text()='Next']/.."));
next.Click();
}
private void LoginInUserName(OpenAiSettings openAiSettings)
{
new WebDriverWait(_driver, TimeSpan.FromSeconds(5))
.Until(drv => drv.FindElement(By.Id("username")));
var userName = _driver.FindElement(By.Id("username"));
userName.SendKeys(openAiSettings.UserName);
var actionButton = _driver.FindElement(By.Name("action"));
actionButton.Click();
Thread.Sleep(300);
new WebDriverWait(_driver, TimeSpan.FromSeconds(5))
.Until(drv => drv.FindElement(By.Id("password")));
var password = _driver.FindElement(By.Id("password"));
password.SendKeys(openAiSettings.Password);
actionButton = _driver.FindElement(By.Name("action"));
actionButton.Click();
Thread.Sleep(300);
/*new WebDriverWait(_driver, TimeSpan.FromSeconds(5))
.Until(drv => drv.FindElement(By.CssSelector(@"div#headlessui-dialog-panel-\:r1\: button")));
// https://developer.mozilla.org/en-US/docs/Learn/CSS/Building_blocks/Selectors/Type_Class_and_ID_Selectors#id_selectors
for (int i = 0; i < 3; i++)
{
Thread.Sleep(300);
var inputs = _driver.FindElements(By.CssSelector(@"div#headlessui-dialog-panel-\:r1\: button"));
inputs.Last().Click();
}*/
var js = @"var xhr = new XMLHttpRequest();
xhr.open('GET', 'https://chat.openai.com/api/auth/session', false);
xhr.setRequestHeader('Content-type', 'application/json');
xhr.send();
return xhr.response;";
var json = _driver.ExecuteJavaScript<string>(js);
_token = JsonConvert.DeserializeObject<GetTokenResponse>(json);
_isLoggedIn = true;
}
}

105
Platforms/BotSharp.Platform.OpenAi/GPT-4.NewSession.cs
View file

@ -1,105 +0,0 @@
using Abstraction.Models;
using ChatGPT.Models;
using Newtonsoft.Json;
using OpenQA.Selenium;
using OpenQA.Selenium.Support.Extensions;
using System;
using System.Linq;
using System.Threading;
namespace ChatGPT;
public partial class GPT4
{
public LlmResponse NewSession(LlmPromptInput prompt)
{
if (!LoggedIn)
{
return new LlmResponse
{
Format = prompt.Format,
Content = "Please login agent first.",
Model = prompt.Model
};
}
// Active default window
var window = _driver.WindowHandles[0];
_driver.SwitchTo().Window(window);
// New session
var newChat = _driver.FindElement(By.XPath("//a[text()='New chat']"));
newChat.Click();
Thread.Sleep(200);
var models = _driver.FindElements(By.XPath($"//span[text()='{prompt.Model}']/../.."));
if (models.Count == 0)
{
// Choose model
var modelSelector = _driver.FindElement(By.XPath($"//span[text()='Default (GPT-3.5)']/../.."));
modelSelector.Click();
// Switch model
var gpt4 = _driver.FindElement(By.XPath($"//span[text()='{prompt.Model}']/../.."));
gpt4.Click();
}
var response = Interact(prompt, false);
#region Get Session Id
if (_token == null)
{
// Extract current session id
if (Guid.TryParse(_driver.Url.Split('/').Last(), out Guid sessionId))
{
response.SessionId = sessionId.ToString();
}
}
else
{
var js = @$"var xhr = new XMLHttpRequest();
xhr.open('GET', 'https://chat.openai.com/backend-api/conversations?offset=0&limit=20', false);
xhr.setRequestHeader('Content-type', 'application/json');
xhr.setRequestHeader('authorization','Bearer {_token.AccessToken}');
xhr.send();
return xhr.response;";
var json = _driver.ExecuteJavaScript<string>(js);
var conversations = JsonConvert.DeserializeObject<ListResponse<ConversationListResponse>>(json);
response.SessionId = conversations.Items.First().Id;
}
/*while (string.IsNullOrEmpty(response.Sessionid) || response.Sessionid == Guid.Empty.ToString())
{
_driver.WaitMiliseconds(200);
newChat = _driver.FindElement(By.XPath("//a[text()='New chat']"));
newChat.Click();
_driver.WaitMiliseconds(200);
var currentChatTabs = _driver.FindElements(By.CssSelector("nav div a"));
currentChatTabs.First().Click();
_driver.WaitMiliseconds(200);
// Extract current session id
if (Guid.TryParse(_driver.Url.Split('/').Last(), out Guid sessionId))
{
response.Sessionid = sessionId.ToString();
}
}*/
#endregion
newChat = _driver.FindElement(By.XPath("//a[text()='New chat']"));
newChat.Click();
// Open a new tab
_driver.SwitchTo().NewWindow(WindowType.Tab);
_driver.Navigate().GoToUrl($"https://chat.openai.com/chat/{response.SessionId}");
_activeTabs[response.SessionId] = _driver.CurrentWindowHandle;
return response;
}
}

43
Platforms/BotSharp.Platform.OpenAi/GPT-4.cs
View file

@ -1,43 +0,0 @@
using Abstraction;
using OpenQA.Selenium;
using OpenQA.Selenium.Chrome;
using SeleniumUndetectedChromeDriver;
using System;
using System.Collections.Generic;
using System.IO;
using System.Threading.Tasks;
namespace ChatGPT;
public partial class GPT4 : ILlmAgent
{
private IWebDriver _driver;
private readonly IServiceProvider _serviceProvider;
/// <summary>
/// SessionId - WindowHandle
/// </summary>
private Dictionary<string, string> _activeTabs = new Dictionary<string, string>();
public GPT4(IServiceProvider serviceProvider)
{
_serviceProvider = serviceProvider;
}
public async Task OpenDriver()
{
var path = await new ChromeDriverInstaller().Auto();
var options = new ChromeOptions
{
};
options.AddArgument("--no-sandbox");
options.AddArgument("--disable-dev-shm-usage");
_driver = UndetectedChromeDriver.Create(options,
driverExecutablePath: path);
}
public void Dispose()
{
_driver.Quit();
}
}

11
Platforms/BotSharp.Platform.OpenAi/Models/ConversationListResponse.cs
View file

@ -1,11 +0,0 @@
using System;
using System.Collections.Generic;
using System.Text;
namespace ChatGPT.Models;
public class ConversationListResponse
{
public string Id { get; set; }
public string Title { get; set; }
}

54
Platforms/BotSharp.Platform.OpenAi/Models/ConversationPost.cs
View file

@ -1,54 +0,0 @@
using Newtonsoft.Json;
using System;
using System.Collections.Generic;
using System.Text;
namespace ChatGPT.Models;
public class ConversationPost
{
[JsonProperty("action")]
public string Action { get; set; } = "action";
[JsonProperty("messages")]
public List<ConversationMessageBody> Messages { get; set; }
[JsonProperty("parent_message_id")]
public string ParentMessageId { get; set; }
[JsonProperty("model")]
public string Model { get; set; }
[JsonProperty("timezone_offset_min")]
public int TimezoneOffsetMin { get; set; }
[JsonProperty("variant_purpose")]
public string VariantPurpose { get; set; } = "none";
}
public class ConversationMessageBody
{
[JsonProperty("id")]
public string Id { get; set; }
[JsonProperty("author")]
public ConversationAuthor Author { get; set; }
[JsonProperty("content")]
public ConversationContent Content { get; set; }
}
public class ConversationAuthor
{
[JsonProperty("role")]
public string Role { get; set; }
}
public class ConversationContent
{
[JsonProperty("content_type")]
public string ContentType { get; set; }
[JsonProperty("parts")]
public List<string> Parts { get; set; }
}

11
Platforms/BotSharp.Platform.OpenAi/Models/GetTokenResponse.cs
View file

@ -1,11 +0,0 @@
using System;
using System.Collections.Generic;
using System.Text;
namespace ChatGPT.Models;
public class GetTokenResponse
{
public DateTime Expires { get; set; }
public string AccessToken { get; set; }
}

16
Platforms/BotSharp.Platform.OpenAi/Models/ListResponse.cs
View file

@ -1,16 +0,0 @@
using Newtonsoft.Json;
using System;
using System.Collections.Generic;
using System.Text;
using System.Text.Json.Serialization;
namespace ChatGPT.Models;
public class ListResponse<T>
{
public int Total { get; set; }
public int Offset { get; set; }
[JsonProperty("has_missing_conversations")]
public bool HasMissingConversations { get; set; }
public List<T> Items { get; set; } = new List<T>();
}

26
README.md
View file

@ -1,5 +1,7 @@
# The Open Source AI Chatbot Platform Builder
[![Discord](https://img.shields.io/discord/1106946823282761851?label=Discord)](https://discord.gg/qRVm82fKTS)
[![QQ群聊](https://img.shields.io/static/v1?label=QQ&message=群聊&color=brightgreen)](http://qm.qq.com/cgi-bin/qm/qr?_wv=1027&k=sN9VVMwbWjs5L0ATpizKKxOcZdEPMrp8&authKey=RLDw41bLTrEyEgZZi%2FzT4pYk%2BwmEFgFcrhs8ZbkiVY7a4JFckzJefaYNW6Lk4yPX&noverify=0&group_code=985366726)
[![Join the chat at https://gitter.im/publiclab/publiclab](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/sci-sharp/community)
[![Apache 2.0](https://img.shields.io/hexpm/l/plug.svg)](https://raw.githubusercontent.com/Oceania2018/BotSharp/master/LICENSE)
[![NuGet](https://img.shields.io/nuget/dt/BotSharp.Core.svg)](https://www.nuget.org/packages/BotSharp.Core)
@ -10,8 +12,6 @@
**BotSharp** is an open source machine learning framework for AI Bot platform builder. This project involves natural language understanding, computer vision and audio processing technologies, and aims to promote the development and application of intelligent robot assistants in information systems. Out-of-the-box machine learning algorithms allow ordinary programmers to develop artificial intelligence applications faster and easier.
<img src="/docs/static/screenshots/BotSharp_arch.png" width="100%">
It's written in C# running on .Net Core that is full cross-platform framework. C# is a enterprise grade programming language which is widely used to code business logic in information management related system. More friendly to corporate developers. BotSharp adopts machine learning algrithm in C# directly. That will facilitate the feature of the typed language C#, and be more easier when refactoring code in system scope.
Why we do this? Because we all know Python is not friendly programming language for enterprise developers, it's not only because it's low performance but also it's a type weak language, it will be a disaster if you use Python to build your bussiness system.
@ -20,22 +20,16 @@ BotSharp is in accordance with components principle strictly, decouples every pa
### Some Features
* Integrated debugging is easier without relying on any other machine learning algorithm libraries.
* Built-in multi-Agents management, easy to build Bot as a Service platform.
* Context In/ Out with lifespan to make conversion flow be controllable.
* Use the natural language processing pipeline mechanism to work with extensions easily, and build your own unique robot processing flows.
* Rewrote NLP algorithm from ground without historical issues.
* Built-in multi-agents and conversation management.
* Support multiple LLM platforms.
* Support export/ import agent from other bot platforms directly.
* Support different UI providers like `Rasa UI` and `Articulate UI`.
* Support for multiple data request and response formats such as Rasa NLU and Dialogflow.
* Integrate with popular social platforms like Facebook Messenger, Slack and Telegram.
* Multi-core parallel computing optimization, High-Performance C# on GPUs in Hybridizer.
* Support different open source UI [Chatbot UI](src\BotUIs\ChatbotUI\Chatbot-UI.md).
* Integrate with popular message channels like Facebook Messenger, Slack and Telegram.
### Quick Started
* Make sure that you have downloaded the related components.
* See the file "BotSharp\BotSharp.WebHost\Settings\app.json",change the path to your own project's path.
* Select dialogflow or articulate to make it work.
You can use docker compose to run BotSharp quickly, make sure you've got `Docker`_ installed.
@ -45,20 +39,16 @@ You can use docker compose to run BotSharp quickly, make sure you've got `Docker
PS D:\BotSharp\> docker-compose -f dockerfiles/docker-compose-core.yml up
```
Point your web browser at http://localhost:3112 and enjoy BotSharp Core.
Point your web browser at http://localhost:5500 and enjoy BotSharp Core.
### Extension Libraries
BotSharp uses component design, the kernel is kept to a minimum, and business functions are implemented by external components. The modular design also allows contributors to better participate.
* BotSharp platform emulator extension which is compatible with RASA NLU.
* BotSharp platform emulator extension which is compatible with Google Dialogflow.
* BotSharp platform emulator extension which is compatible with Articulate AI.
* BotSharp platform emulator extension which is compatible with RasaTalk.
* Chatbot UI connector.
* A channel module of BotSharp for Facebook Messenger.
* A channel module of BotSharp for Tencent Wechat.
* A channel module of BotSharp for Telegram.
* Articulate UI customized for BotSharp NLU.
### Documents

32
src/BotUIs/ChatbotUI/Chatbot-UI.md Normal file
View file

@ -0,0 +1,32 @@
# Chatbot UI
[Chatbot UI](https://github.com/mckaywrigley/chatbot-ui) is an open source chat UI for AI models.
```shell
git clone https://github.com/mckaywrigley/chatbot-ui
npm i
npm run dev
```
* Rename `.env.local.example` to `.env.local`
### Azure OpenAI
```shell
# Chatbot UI
OPENAI_API_TYPE=azure
OPENAI_API_VERSION=2023-03-15-preview
AZURE_DEPLOYMENT_ID=
OPENAI_API_KEY=
DEFAULT_MODEL=gpt-35-turbo
OPENAI_API_HOST=
NEXT_PUBLIC_DEFAULT_SYSTEM_PROMPT=
```
### OpenAI ChatGPT
```shell
# Chatbot UI
DEFAULT_MODEL=gpt-3.5-turbo
NEXT_PUBLIC_DEFAULT_SYSTEM_PROMPT=
OPENAI_API_KEY=YOUR_KEY
OPENAI_API_HOST=https://api.openai.com
```

17
src/BotUIs/ChatbotUI/ChatbotUI.csproj Normal file
View file

@ -0,0 +1,17 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFramework>netstandard2.1</TargetFramework>
<Nullable>enable</Nullable>
<LangVersion>10</LangVersion>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Microsoft.AspNetCore.Mvc.Core" Version="2.2.0" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\Infrastructure\BotSharp.Abstraction\BotSharp.Abstraction.csproj" />
</ItemGroup>
</Project>

39
src/BotUIs/ChatbotUI/ChatbotUiController.cs Normal file
View file

@ -0,0 +1,39 @@
using BotSharp.Abstraction;
using BotSharp.Abstraction.Models;
using ChatbotUI.ViewModels;
using Microsoft.AspNetCore.Mvc;
using Microsoft.Extensions.Logging;
using System.Collections.Generic;
namespace BotSharp.Platform.AzureAi.Controllers;
[ApiController]
public class ChatbotUiController : ControllerBase, IBotUiAdapter
{
private readonly ILogger<ChatbotUiController> _logger;
public ChatbotUiController(ILogger<ChatbotUiController> logger)
{
_logger = logger;
}
[HttpGet("/v1/models")]
[HttpGet("/openai/deployments")]
public OpenAiModels GetOpenAiModels()
{
return new OpenAiModels
{
Data = new List<AiModel>
{
new AiModel
{
Id = "gpt-3.5-turbo",
Model = "gpt-3.5-turbo",
Name = "Default (GPT-3.5)",
MaxLength = 4000,
TokenLimit = 4000
}
}
};
}
}

9
src/BotUIs/ChatbotUI/ViewModels/OpenAiModels.cs Normal file
View file

@ -0,0 +1,9 @@
using BotSharp.Abstraction.Models;
using System.Collections.Generic;
namespace ChatbotUI.ViewModels;
public class OpenAiModels
{
public List<AiModel> Data { get; set; } = new List<AiModel>();
}

3
Infrastructure/BotSharp.WebApi/BotSharp.WebApi.csproj → src/Channels/BotSharp.Channel.FacebookMessenger/BotSharp.Channel.FacebookMessenger.csproj
View file

@ -2,9 +2,6 @@
<PropertyGroup>
<TargetFramework>netstandard2.1</TargetFramework>
<LangVersion>10.0</LangVersion>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
</PropertyGroup>
</Project>

4
Channels/BotSharp.Channel.Weixin/BotSharp.Channel.Weixin.csproj → src/Channels/BotSharp.Channel.Weixin/BotSharp.Channel.Weixin.csproj
View file

@ -23,8 +23,4 @@
<PackageReference Include="Senparc.Weixin.MP.MVC" Version="7.12.5.7" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\Infrastructure\BotSharp.Core\BotSharp.Core.csproj" />
</ItemGroup>
</Project>

0
Channels/BotSharp.Channel.Weixin/README.md → src/Channels/BotSharp.Channel.Weixin/README.md
View file

0
Infrastructure/BotSharp.Abstraction/BotSharp.Abstraction.csproj → src/Infrastructure/BotSharp.Abstraction/BotSharp.Abstraction.csproj
View file

9
src/Infrastructure/BotSharp.Abstraction/IBotUiAdapter.cs Normal file
View file

@ -0,0 +1,9 @@
using System;
using System.Collections.Generic;
using System.Text;
namespace BotSharp.Abstraction;
public interface IBotUiAdapter
{
}

9
src/Infrastructure/BotSharp.Abstraction/ITaskRouter.cs Normal file
View file

@ -0,0 +1,9 @@
using System;
using System.Collections.Generic;
using System.Text;
namespace BotSharp.Abstraction;
public interface ITaskRouter
{
}

10
src/Infrastructure/BotSharp.Abstraction/Models/AiModel.cs Normal file
View file

@ -0,0 +1,10 @@
namespace BotSharp.Abstraction.Models;
public class AiModel
{
public string Id { get; set; } = string.Empty;
public string Model { get; set; } = string.Empty;
public string Name { get; set; } = string.Empty;
public int MaxLength { get; set; }
public int TokenLimit { get; set; }
}

0
Infrastructure/BotSharp.Core/Accounts/AccountController.cs → src/Infrastructure/BotSharp.Core/Accounts/AccountController.cs
View file

0
Infrastructure/BotSharp.Core/Accounts/AccountCore.cs → src/Infrastructure/BotSharp.Core/Accounts/AccountCore.cs
View file

0
Infrastructure/BotSharp.Core/Accounts/AccountDbInitializer.cs → src/Infrastructure/BotSharp.Core/Accounts/AccountDbInitializer.cs
View file

0
Infrastructure/BotSharp.Core/Accounts/User.cs → src/Infrastructure/BotSharp.Core/Accounts/User.cs
View file

0
Infrastructure/BotSharp.Core/Accounts/UserAuth.cs → src/Infrastructure/BotSharp.Core/Accounts/UserAuth.cs
View file

0
Infrastructure/BotSharp.Core/Accounts/VmUser.cs → src/Infrastructure/BotSharp.Core/Accounts/VmUser.cs
View file

0
Infrastructure/BotSharp.Core/Accounts/VmUserLogin.cs → src/Infrastructure/BotSharp.Core/Accounts/VmUserLogin.cs
View file

0
Infrastructure/BotSharp.Core/BotSharp.Core.csproj → src/Infrastructure/BotSharp.Core/BotSharp.Core.csproj
View file

0
Infrastructure/BotSharp.Core/BotSharp.Core.csproj.user → src/Infrastructure/BotSharp.Core/BotSharp.Core.csproj.user
View file

0
Infrastructure/BotSharp.Core/CoreController.cs → src/Infrastructure/BotSharp.Core/CoreController.cs
View file

2
Channels/BotSharp.Channel.FacebookMessenger/BotSharp.Channel.FacebookMessenger.csproj → src/Platforms/BotSharp.Platform.AureAi/BotSharp.Platform.AzureAi.csproj
View file

@ -2,6 +2,8 @@
<PropertyGroup>
<TargetFramework>netstandard2.1</TargetFramework>
<Nullable>enable</Nullable>
<LangVersion>10</LangVersion>
</PropertyGroup>
<ItemGroup>

13
src/Platforms/BotSharp.Platform.Local/BotSharp.Platform.Local.csproj Normal file
View file

@ -0,0 +1,13 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFramework>netstandard2.1</TargetFramework>
<Nullable>enable</Nullable>
<LangVersion>10</LangVersion>
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\Infrastructure\BotSharp.Core\BotSharp.Core.csproj" />
</ItemGroup>
</Project>

7
Platforms/BotSharp.Platform.OpenAi/BotSharp.Platform.OpenAi.csproj → src/Platforms/BotSharp.Platform.OpenAi/BotSharp.Platform.OpenAi.csproj
View file

@ -6,13 +6,6 @@
<LangVersion>10</LangVersion>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="HtmlAgilityPack" Version="1.11.46" />
<PackageReference Include="Selenium.Support" Version="4.9.0" />
<PackageReference Include="Selenium.UndetectedChromeDriver" Version="1.1.1" />
<PackageReference Include="StackExchange.Redis" Version="2.6.104" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\Infrastructure\BotSharp.Core\BotSharp.Core.csproj" />
</ItemGroup>

16
src/WebStarter/Controllers/LlmAgentController.cs Normal file
View file

@ -0,0 +1,16 @@
using Microsoft.AspNetCore.Mvc;
namespace WebStarter.Controllers
{
[ApiController]
[Route("[controller]")]
public class LlmAgentController : ControllerBase
{
private readonly ILogger<LlmAgentController> _logger;
public LlmAgentController(ILogger<LlmAgentController> logger)
{
_logger = logger;
}
}
}

28
src/WebStarter/Program.cs Normal file
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@ -0,0 +1,28 @@
var builder = WebApplication.CreateBuilder(args);
// Add services to the container.
builder.Services.AddControllers();
// Learn more about configuring Swagger/OpenAPI at https://aka.ms/aspnetcore/swashbuckle
builder.Services.AddEndpointsApiExplorer();
builder.Services.AddSwaggerGen();
builder.Services.AddHttpContextAccessor();
// Streaming response to Redis
// var multiplexer = ConnectionMultiplexer.Connect("192.168.0.26:6379");
// builder.Services.AddSingleton<IConnectionMultiplexer>(multiplexer);
var app = builder.Build();
// Configure the HTTP request pipeline.
if (app.Environment.IsDevelopment())
{
app.UseSwagger();
app.UseSwaggerUI();
}
app.UseAuthorization();
app.MapControllers();
app.Run();

30
src/WebStarter/Properties/launchSettings.json Normal file
View file

@ -0,0 +1,30 @@
{
"profiles": {
"WebStarter": {
"commandName": "Project",
"launchUrl": "swagger",
"environmentVariables": {
"ASPNETCORE_ENVIRONMENT": "Development"
},
"dotnetRunMessages": true,
"applicationUrl": "http://localhost:5500"
},
"IIS Express": {
"commandName": "IISExpress",
"launchBrowser": true,
"launchUrl": "swagger",
"environmentVariables": {
"ASPNETCORE_ENVIRONMENT": "Development"
}
}
},
"$schema": "https://json.schemastore.org/launchsettings.json",
"iisSettings": {
"windowsAuthentication": false,
"anonymousAuthentication": true,
"iisExpress": {
"applicationUrl": "http://localhost:31769",
"sslPort": 0
}
}
}

21
src/WebStarter/WebStarter.csproj Normal file
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@ -0,0 +1,21 @@
<Project Sdk="Microsoft.NET.Sdk.Web">
<PropertyGroup>
<TargetFramework>net6.0</TargetFramework>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
<UserSecretsId>4fb8c9df-7975-4926-ba73-46c8ca440691</UserSecretsId>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Swashbuckle.AspNetCore" Version="6.5.0" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\BotUIs\ChatbotUI\ChatbotUI.csproj" />
<ProjectReference Include="..\Channels\BotSharp.Channel.FacebookMessenger\BotSharp.Channel.FacebookMessenger.csproj" />
<ProjectReference Include="..\Channels\BotSharp.Channel.Weixin\BotSharp.Channel.Weixin.csproj" />
<ProjectReference Include="..\Platforms\BotSharp.Platform.OpenAi\BotSharp.Platform.OpenAi.csproj" />
</ItemGroup>
</Project>

8
src/WebStarter/appsettings.Development.json Normal file
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{
"Logging": {
"LogLevel": {
"Default": "Information",
"Microsoft.AspNetCore": "Warning"
}
}
}

14
src/WebStarter/appsettings.json Normal file
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{
"Logging": {
"LogLevel": {
"Default": "Information",
"Microsoft.AspNetCore": "Warning"
}
},
"AllowedHosts": "*",
"OpenAi": {
"userName": "",
"password": ""
}
}