Auto test.
This commit is contained in:
Haiping Chen
parent
30b82591e4
commit
1a54f17440
13
BotSharp.sln
13
BotSharp.sln
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@ -61,7 +61,9 @@ Project("{2150E333-8FDC-42A3-9474-1A3956D46DE8}") = "DataStorages", "DataStorage
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EndProject
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Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "BotSharp.Plugin.MongoStorage", "src\Plugins\BotSharp.Plugin.MongoStorage\BotSharp.Plugin.MongoStorage.csproj", "{DB3DE37B-1208-4ED3-9615-A52AD0AAD69C}"
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EndProject
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Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "BotSharp.Plugin.GoogleAI", "src\Plugins\BotSharp.Plugin.GoogleAI\BotSharp.Plugin.GoogleAI.csproj", "{8BC29F8A-78D6-422C-B522-10687ADC38ED}"
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Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "BotSharp.Plugin.GoogleAI", "src\Plugins\BotSharp.Plugin.GoogleAI\BotSharp.Plugin.GoogleAI.csproj", "{8BC29F8A-78D6-422C-B522-10687ADC38ED}"
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EndProject
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Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "BotSharp.TestingConsole", "tests\BotSharp.TestingConsole\BotSharp.TestingConsole.csproj", "{5E7EC98F-4A22-4D62-8FF6-746C497CF955}"
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EndProject
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Global
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GlobalSection(SolutionConfigurationPlatforms) = preSolution
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@ -223,6 +225,14 @@ Global
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{8BC29F8A-78D6-422C-B522-10687ADC38ED}.Release|Any CPU.Build.0 = Release|Any CPU
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{8BC29F8A-78D6-422C-B522-10687ADC38ED}.Release|x64.ActiveCfg = Release|Any CPU
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{8BC29F8A-78D6-422C-B522-10687ADC38ED}.Release|x64.Build.0 = Release|Any CPU
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{5E7EC98F-4A22-4D62-8FF6-746C497CF955}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
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{5E7EC98F-4A22-4D62-8FF6-746C497CF955}.Debug|Any CPU.Build.0 = Debug|Any CPU
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{5E7EC98F-4A22-4D62-8FF6-746C497CF955}.Debug|x64.ActiveCfg = Debug|Any CPU
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{5E7EC98F-4A22-4D62-8FF6-746C497CF955}.Debug|x64.Build.0 = Debug|Any CPU
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{5E7EC98F-4A22-4D62-8FF6-746C497CF955}.Release|Any CPU.ActiveCfg = Release|Any CPU
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{5E7EC98F-4A22-4D62-8FF6-746C497CF955}.Release|Any CPU.Build.0 = Release|Any CPU
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{5E7EC98F-4A22-4D62-8FF6-746C497CF955}.Release|x64.ActiveCfg = Release|Any CPU
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{5E7EC98F-4A22-4D62-8FF6-746C497CF955}.Release|x64.Build.0 = Release|Any CPU
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EndGlobalSection
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GlobalSection(SolutionProperties) = preSolution
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HideSolutionNode = FALSE
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@ -254,6 +264,7 @@ Global
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{5CD330E1-9E5A-4112-8346-6E31CA98EF78} = {2635EC9B-2E5F-4313-AC21-0B847F31F36C}
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{DB3DE37B-1208-4ED3-9615-A52AD0AAD69C} = {5CD330E1-9E5A-4112-8346-6E31CA98EF78}
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{8BC29F8A-78D6-422C-B522-10687ADC38ED} = {D5293208-2BEF-42FC-A64C-5954F61720BA}
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{5E7EC98F-4A22-4D62-8FF6-746C497CF955} = {32FAFFFE-A4CB-4FEE-BF7C-84518BBC6DCC}
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EndGlobalSection
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GlobalSection(ExtensibilityGlobals) = postSolution
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SolutionGuid = {A9969D89-C98B-40A5-A12B-FC87E55B3A19}
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@ -3,19 +3,19 @@ namespace BotSharp.Abstraction.Routing.Models;
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public class RoutingArgs
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{
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[JsonPropertyName("function")]
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public string Function { get; set; } = string.Empty;
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public string Function { get; set; }
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[JsonPropertyName("reason")]
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public string Reason { get; set; } = "the reason why you select this function or agent";
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[JsonPropertyName("answer")]
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public string Answer { get; set; } = string.Empty;
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public string Answer { get; set; } = "the content of response to user";
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[JsonPropertyName("next_action_agent")]
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public string AgentName { get; set; } = "agent for next action based on user's latest response";
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public string AgentName { get; set; } = "agent for next action based on user latest response";
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[JsonPropertyName("user_goal_agent")]
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public string OriginalAgent { get; set; } = "agent who can achieve user's original goal";
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public string OriginalAgent { get; set; } = "agent who can achieve user original goal";
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public override string ToString()
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{
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@ -0,0 +1,9 @@
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using System;
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using System.Collections.Generic;
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using System.Text;
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namespace BotSharp.Core.Evaluatings;
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public class Evaluater
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{
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}
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@ -1,5 +1,4 @@
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using BotSharp.Abstraction.Functions.Models;
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using BotSharp.Abstraction.Models;
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using BotSharp.Abstraction.Routing;
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using BotSharp.Abstraction.Routing.Settings;
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@ -9,12 +8,7 @@ public class ConversationEndRoutingHandler : RoutingHandlerBase, IRoutingHandler
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{
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public string Name => "conversation_end";
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public string Description => "Call this function when user wants to end this conversation or all tasks have been completed.";
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public List<NameDesc> Parameters => new List<NameDesc>
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{
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new NameDesc("reason", "why this conversation is end")
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};
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public string Description => "User wants to end the conversation.";
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public bool IsReasoning => false;
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@ -23,8 +17,14 @@ public class ConversationEndRoutingHandler : RoutingHandlerBase, IRoutingHandler
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{
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}
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public Task<RoleDialogModel> Handle(IRoutingService routing, FunctionCallFromLlm inst)
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public async Task<RoleDialogModel> Handle(IRoutingService routing, FunctionCallFromLlm inst)
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{
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throw new NotImplementedException();
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var result = new RoleDialogModel(AgentRole.Assistant, inst.Answer)
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{
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CurrentAgentId = _settings.RouterId,
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FunctionName = inst.Function,
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StopCompletion = true
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};
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return result;
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}
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}
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@ -9,13 +9,7 @@ public class ResponseToUserRoutingHandler : RoutingHandlerBase, IRoutingHandler
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{
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public string Name => "response_to_user";
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public string Description => "You know how to response according to the context without asking specific agent. For example user greeting.";
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public List<NameDesc> Parameters => new List<NameDesc>
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{
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new NameDesc("answer", "the content of response"),
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new NameDesc("reason", "why response to user")
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};
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public string Description => "You know how to response according to the context without asking specific agent.";
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public bool IsReasoning => false;
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@ -15,10 +15,7 @@ public class RouteToAgentRoutingHandler : RoutingHandlerBase, IRoutingHandler
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public List<NameDesc> Parameters => new List<NameDesc>
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{
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new NameDesc("next_action_agent", "the name of the next action's agent"),
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new NameDesc("user_goal_agent", "the agent who can achieve user's original goal"),
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new NameDesc("reason", "the reason why you select this function or agent"),
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new NameDesc("args", "the agent required parameters")
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new NameDesc("args", "useful parameters of next action agent")
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};
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public bool IsReasoning => false;
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@ -16,7 +16,8 @@ public partial class RoutingService
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{
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Function = "route_to_agent"
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});
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var content = $"{prompt} Response must be in JSON format {responseFormat}";
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var content = $"{prompt} Response must be in JSON format {responseFormat}.";
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content += " Set function as conversation_end with courtesy greeting if user is willing to end conversation";
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var state = _services.GetRequiredService<IConversationStateService>();
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@ -4,6 +4,7 @@ using BotSharp.Abstraction.ApiAdapters;
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using BotSharp.Abstraction.Conversations.Models;
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using BotSharp.Abstraction.Instructs;
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using BotSharp.Abstraction.Instructs.Models;
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using BotSharp.Core.Infrastructures;
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using BotSharp.OpenAPI.ViewModels.Instructs;
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namespace BotSharp.OpenAPI.Controllers;
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@ -45,4 +46,11 @@ public class InstructModeController : ControllerBase, IApiAdapter
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fn => Task.CompletedTask,
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fn => Task.CompletedTask);
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}
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[HttpPost("/instruct/text-completion")]
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public async Task<string> TextCompletion([FromBody] IncomingMessageModel message)
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{
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var textCompletion = CompletionProvider.GetTextCompletion(_services);
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return await textCompletion.GetCompletion(message.Text);
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}
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}
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@ -7,6 +7,7 @@ using Microsoft.Extensions.Logging;
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using BotSharp.Abstraction.Conversations;
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using Microsoft.Extensions.DependencyInjection;
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using BotSharp.Abstraction.Conversations.Models;
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using BotSharp.Abstraction.Agents.Enums;
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namespace BotSharp.Plugin.AzureOpenAI.Providers;
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@ -40,8 +41,9 @@ public class TextCompletionProvider : ITextCompletion
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{
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text
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},
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MaxTokens = 256
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MaxTokens = 256,
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};
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completionsOptions.StopSequences.Add($"{AgentRole.Assistant}:");
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var state = _services.GetRequiredService<IConversationStateService>();
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var temperature = float.Parse(state.GetState("temperature", "0.5"));
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@ -29,6 +29,8 @@
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<ItemGroup Condition="$(SolutionName)==PizzaBot">
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<PackageReference Include="BotSharp.OpenAPI" Version="$(BotSharpVersion)" />
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<PackageReference Include="BotSharp.Plugin.AzureOpenAI" Version="$(BotSharpVersion)" />
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<PackageReference Include="BotSharp.Plugin.GoogleAI" Version="$(BotSharpVersion)" />
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<PackageReference Include="BotSharp.Plugin.HuggingFace" Version="$(BotSharpVersion)" />
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<PackageReference Include="BotSharp.Plugin.KnowledgeBase" Version="$(BotSharpVersion)" />
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<PackageReference Include="BotSharp.Plugin.LLamaSharp" Version="$(BotSharpVersion)" />
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<PackageReference Include="BotSharp.Plugin.MetaAI" Version="$(BotSharpVersion)" />
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@ -36,6 +38,8 @@
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<PackageReference Include="BotSharp.Plugin.MongoStorage" Version="$(BotSharpVersion)" />
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<PackageReference Include="BotSharp.Plugin.PaddleSharp" Version="$(BotSharpVersion)" />
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<PackageReference Include="BotSharp.Plugin.RoutingSpeeder" Version="$(BotSharpVersion)" />
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<PackageReference Include="BotSharp.Plugin.Qdrant" Version="$(BotSharpVersion)" />
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<PackageReference Include="BotSharp.Plugin.WeChat" Version="$(BotSharpVersion)" />
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</ItemGroup>
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<ItemGroup>
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@ -1,15 +1,14 @@
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You're {{router.name}} ({{router.description}}). Follow these steps to handle user's request:
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You're {{router.name}} ({{router.description}}). Follow these steps to handle user request:
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1. Read the CONVERSATION context.
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2. Select a appropriate function from FUNCTIONS.
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3. Determine which agent is suitable according to conversation context.
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3. Determine which agent is suitable according to CONVERSATION context.
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4. Re-think about selected function is from FUNCTIONS to handle the request.
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5. Make sure agent is not in args.
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FUNCTIONS
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{% for handler in routing_handlers %}
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# {{ handler.name }}
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{{ handler.description}}
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{% if handler.parameters -%}
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{% if handler.parameters and handler.parameters != empty -%}
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Parameters:
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{% for p in handler.parameters -%}
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{{ p.name }}: {{ p.description }}{{ "\r\n " }}
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@ -4,11 +4,5 @@
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"createdDateTime": "2023-08-18T14:39:32.2349685Z",
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"updatedDateTime": "2023-08-18T14:39:32.2349686Z",
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"id": "b284db86-e9c2-4c25-a59e-4649797dd130",
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"allowRouting": true,
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"routingRules": [
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{
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"field": "order_number",
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"required": true
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}
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]
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"allowRouting": true
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}
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@ -1,6 +1,6 @@
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{
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"name": "Ordering",
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"description": "Place new pizza order",
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"description": "Provide types of pizza available, unit price and total cost. Place the order and returned the order number.",
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"createdDateTime": "2023-07-26T02:29:25.123224Z",
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"updatedDateTime": "2023-07-26T02:29:25.123274Z",
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"id": "c2b57a74-ae4e-4c81-b3ad-9ac5bff982bd",
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@ -19,7 +19,7 @@
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},
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{
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"name": "get_pizza_types",
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"description": "get all pizza types.",
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"description": "get all pizza types",
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"parameters": {
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"type": "object",
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"properties": {},
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@ -1,10 +1,10 @@
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You are now a Pizza Ordering agent, and you can help customers order a pizza according to the user's preferences.
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Follow below step to place order:
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1: Ask user preferences.
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1: Ask user preferences, call function get_pizza_types to provide the variety of pizza options.
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2: Confirm with user the pizza type and quantity.
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3: Call function place_an_order to purchase.
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4: Proceed to make payment for this order.
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4: Ask user how to pay for this order.
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Use below information to help ordering process:
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* Today is {{current_date}}, the time now is {{current_time}}, day of week is {{current_weekday}}.
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@ -1,5 +1,12 @@
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{% if pizza_type == "cheese" -%}
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The price for a slice of cheese pizza is {{ cheese_unit_price }}. Would you like to proceed the order?
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{% assign pizza_type = pizza_type | downcase %}
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{% if pizza_type contains "cheese" -%}
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The price for a slice of {{pizza_type}} pizza is {{ cheese_unit_price }}. Would you like to proceed the order?
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{%- elsif pizza_type contains "pepperoni" -%}
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The price for a slice of {{pizza_type}} pizza is {{ pepperoni_unit_price }}. Would you like to proceed the order?
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{%- elsif pizza_type contains "margherita" -%}
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The price for a slice of {{pizza_type}} pizza is {{ margherita_unit_price }}. Would you like to proceed the order?
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{%- else -%}
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We don't have {{pizza_type}} pizza, would you like something else?
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{%- endif %}
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{% if quantity == nil -%}
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How many slices would you like to order?
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@ -1,6 +1,6 @@
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{
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"name": "Payment",
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"description": "Make payment when user placed new order and system returned the order number.",
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"description": "Make payment when user wants to pay for the order",
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"createdDateTime": "2023-07-26T02:29:25.123224Z",
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"updatedDateTime": "2023-07-26T02:29:25.123274Z",
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"id": "fe8c60aa-b114-4ef3-93cb-a8efeac80f75",
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@ -1,7 +1,7 @@
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[
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{
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"name": "make_payment",
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"description": "call this function to make payment after system returned the order number",
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"description": "call this function to make payment",
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"parameters": {
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"type": "object",
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"properties": {
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@ -10,9 +10,10 @@ public class GetPizzaPricesFn : IFunctionCallback
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{
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message.ExecutionData = new
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{
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cheese_unit_price = "$3.5"
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pepperoni_unit_price = "$3.2",
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cheese_unit_price = "$3.5",
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margherita_unit_price = "$3.8",
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};
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message.ExecutionResult = "Pepperoni Pizza: $3.5/slice, Cheese Pizza: $2.5/slice, Margherita Pizza: $3.0/slice";
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return true;
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}
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}
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@ -1,3 +1,4 @@
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using BotSharp.Abstraction.Conversations;
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using BotSharp.Abstraction.Conversations.Models;
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namespace BotSharp.Plugin.PizzaBot.Functions;
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@ -6,9 +7,18 @@ public class PlaceOrderFn : IFunctionCallback
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{
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public string Name => "place_an_order";
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private readonly IServiceProvider _service;
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public PlaceOrderFn(IServiceProvider service)
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{
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_service = service;
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}
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public async Task<bool> Execute(RoleDialogModel message)
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{
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message.ExecutionResult = "The order number is P123-01";
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var state = _service.GetRequiredService<IConversationStateService>();
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state.SetState("order_number", "P123-01");
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return true;
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}
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||||
}
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19
tests/BotSharp.TestingConsole/BotSharp.TestingConsole.csproj
Normal file
19
tests/BotSharp.TestingConsole/BotSharp.TestingConsole.csproj
Normal file
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@ -0,0 +1,19 @@
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|||
<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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<OutputType>Exe</OutputType>
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||||
<TargetFramework>net6.0</TargetFramework>
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||||
<ImplicitUsings>enable</ImplicitUsings>
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||||
<Nullable>enable</Nullable>
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||||
</PropertyGroup>
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||||
|
||||
<ItemGroup>
|
||||
<PackageReference Include="Refit" Version="7.0.0" />
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||||
</ItemGroup>
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||||
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||||
<ItemGroup>
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||||
<ProjectReference Include="..\..\src\Infrastructure\BotSharp.OpenAPI\BotSharp.OpenAPI.csproj" />
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||||
<ProjectReference Include="..\..\src\Plugins\BotSharp.Plugin.AzureOpenAI\BotSharp.Plugin.AzureOpenAI.csproj" />
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</ItemGroup>
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||||
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||||
</Project>
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17
tests/BotSharp.TestingConsole/IBotSharpOpenAPI.cs
Normal file
17
tests/BotSharp.TestingConsole/IBotSharpOpenAPI.cs
Normal file
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@ -0,0 +1,17 @@
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using BotSharp.Abstraction.Conversations.Models;
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||||
using BotSharp.OpenAPI.ViewModels.Conversations;
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||||
using Refit;
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||||
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||||
namespace BotSharp.TestingConsole;
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||||
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||||
public interface IBotSharpOpenAPI
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||||
{
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||||
[Post("/conversation/{agentId}")]
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||||
Task<ConversationViewModel> NewConversation([Header("Authorization")] string authorization, string agentId);
|
||||
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||||
[Post("/conversation/{agentId}/{conversationId}")]
|
||||
Task<MessageResponseModel> SendMessage([Header("Authorization")] string authorization, string agentId, string conversationId, [Body] NewMessageModel input);
|
||||
|
||||
[Post("/instruct/text-completion")]
|
||||
Task<string> TextCompletion([Header("Authorization")] string authorization, [Body] IncomingMessageModel message);
|
||||
}
|
||||
74
tests/BotSharp.TestingConsole/Program.cs
Normal file
74
tests/BotSharp.TestingConsole/Program.cs
Normal file
|
|
@ -0,0 +1,74 @@
|
|||
// See https://aka.ms/new-console-template for more information
|
||||
using BotSharp.Abstraction.Agents.Enums;
|
||||
using BotSharp.Abstraction.Conversations.Models;
|
||||
using BotSharp.OpenAPI.ViewModels.Conversations;
|
||||
using BotSharp.TestingConsole;
|
||||
using Refit;
|
||||
using System.Drawing;
|
||||
using Console = Colorful.Console;
|
||||
|
||||
var token = "Bearer eyJhbGciOiJIUzUxMiIsInR5cCI6IkpXVCJ9.eyJuYW1laWQiOiI0NTZlMzVjNS1jYWYwLTRkNDUtOTA4NC1iNDRhOGNhNzE3ZTQiLCJlbWFpbCI6ImJvdHNoYXJwQGdtYWlsLmNvbSIsImdpdmVuX25hbWUiOiJIYWlwaW5nIiwiZmFtaWx5X25hbWUiOiJDaGVuIiwianRpIjoiMTQ3MDkwMDQtNDM1Ny00NTFkLWExM2MtY2U1NDk5NWM0ZTJlIiwibmJmIjoxNjk3MTY0MzA4LCJleHAiOjE2OTcxNjQ2MDgsImlhdCI6MTY5NzE2NDMwOCwiaXNzIjoiYm90c2hhcnAiLCJhdWQiOiJib3RzaGFycCJ9.1UgOj5esNInTPiiy-_gLmcT2x8NtFswCUyePVHXa-4EeLCkA43nx0LOXPlzb_rmvUIg9bJSRZXbH2aBqtmiDYg";
|
||||
var agentId = "01fcc3e5-9af7-49e6-ad7a-a760bd12dc4a";
|
||||
|
||||
// New conversation
|
||||
var botsharp = RestService.For<IBotSharpOpenAPI>("http://localhost:5500");
|
||||
var conv = await botsharp.NewConversation(token, agentId);
|
||||
|
||||
var instruction = @"You're a customer who is going to buy a pizza.
|
||||
|
||||
Below are your requirments:
|
||||
* You want to know what kind of pizza do they have.
|
||||
* You want to buy three piece of pizza.
|
||||
* Say Bye if the order is placed and payment is completed.
|
||||
|
||||
Below are your profile:
|
||||
* You like pepperoni flavor.
|
||||
* You will pay the order in cash.
|
||||
* Your address is 347 S Gladstone Ave, Aurora, IL 60506.
|
||||
* Your phone number is +16308926431";
|
||||
|
||||
Action<RoleDialogModel> PrintDialog = message =>
|
||||
{
|
||||
Console.Write($"[{DateTime.Now:HH:mm:ss}] {message.Role}:\t");
|
||||
if (message.Role == AgentRole.User)
|
||||
{
|
||||
Console.WriteLine(message.Content);
|
||||
}
|
||||
else
|
||||
{
|
||||
Console.WriteLine(message.Content, Color.Yellow);
|
||||
}
|
||||
};
|
||||
|
||||
var dialogs = new List<RoleDialogModel>();
|
||||
dialogs.Add(new RoleDialogModel(AgentRole.User, "Good morning!"));
|
||||
PrintDialog(dialogs.Last());
|
||||
dialogs.Add(new RoleDialogModel(AgentRole.Assistant, "Hi, How can I help you today?"));
|
||||
PrintDialog(dialogs.Last());
|
||||
|
||||
var response = new MessageResponseModel();
|
||||
|
||||
while (response.Function != "conversation_end")
|
||||
{
|
||||
var text = string.Join("\r\n", dialogs.Select(x => $"{x.Role}: {x.Content}"));
|
||||
text = instruction + $"\r\n###\r\n{text}\r\n{AgentRole.User}: ";
|
||||
var question = await botsharp.TextCompletion(token, new IncomingMessageModel
|
||||
{
|
||||
Text = text
|
||||
});
|
||||
|
||||
dialogs.Add(new RoleDialogModel(AgentRole.User, question));
|
||||
PrintDialog(dialogs.Last());
|
||||
|
||||
response = await botsharp.SendMessage(token, agentId, conv.Id, new NewMessageModel
|
||||
{
|
||||
Text = question
|
||||
});
|
||||
|
||||
dialogs.Add(new RoleDialogModel(AgentRole.Assistant, response.Text.Trim()));
|
||||
PrintDialog(dialogs.Last());
|
||||
}
|
||||
|
||||
Console.WriteLine();
|
||||
Console.WriteLine("Conversation End", Color.Green);
|
||||
Console.ReadLine();
|
||||
Loading…
Reference in a new issue