Optimize router prompt.
This commit is contained in:
Haiping Chen
parent
bdfcbd9a0a
commit
8fcada182f
11
BotSharp.sln
11
BotSharp.sln
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@ -63,8 +63,6 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "BotSharp.Plugin.MongoStorag
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EndProject
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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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Debug|Any CPU = Debug|Any CPU
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@ -225,14 +223,6 @@ 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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@ -264,7 +254,6 @@ 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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@ -9,7 +9,8 @@ public class FunctionCallFromLlm : RoutingArgs
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public string? Question { get; set; }
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[JsonPropertyName("args")]
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public JsonDocument Arguments { get; set; } = JsonDocument.Parse("{}");
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[JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)]
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public JsonDocument? Arguments { get; set; }
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public override string ToString()
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{
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@ -9,6 +9,5 @@ public interface IRouterInstance
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RoutingItem[] GetRoutingItems();
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List<RoutingHandlerDef> GetHandlers();
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IRouterInstance Load();
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IRouterInstance WithDialogs(List<RoleDialogModel> dialogs);
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RoutingRule[] GetRulesByName(string name);
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}
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@ -21,12 +21,14 @@ public class RoutingArgs
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/// Agent for next action based on user latest response
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/// </summary>
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[JsonPropertyName("next_action_agent")]
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[JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)]
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public string AgentName { get; set; }
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/// <summary>
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/// Agent who can achieve user original goal
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/// </summary>
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[JsonPropertyName("user_goal_agent")]
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[JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)]
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public string OriginalAgent { get; set; }
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public override string ToString()
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@ -5,6 +5,9 @@ namespace BotSharp.Core.Agents.Services;
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public partial class AgentService
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{
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#if !DEBUG
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[MemoryCache(10 * 60)]
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#endif
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public async Task<Agent> LoadAgent(string id)
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{
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var hooks = _services.GetServices<IAgentHook>();
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@ -41,7 +41,7 @@ public class ConversationStateService : IConversationStateService, IDisposable
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if (!_states.ContainsKey(name) || _states[name] != currentValue)
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{
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_states[name] = currentValue;
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_logger.LogInformation($"Set state: {name} = {value}");
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_logger.LogInformation($"[STATE] {name} = {value}");
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foreach (var hook in hooks)
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{
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hook.OnStateChanged(name, preValue, currentValue).Wait();
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@ -62,7 +62,7 @@ public class ConversationStateService : IConversationStateService, IDisposable
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foreach (var data in _savedStates)
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{
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_states[data.Key] = data.Value;
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_logger.LogInformation($"Loaded state: {data.Key}={data.Value}");
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_logger.LogInformation($"[STATE] {data.Key} : {data.Value}");
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}
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}
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@ -1,4 +1,5 @@
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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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@ -12,6 +13,12 @@ public class ConversationEndRoutingHandler : RoutingHandlerBase, IRoutingHandler
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public bool IsReasoning => false;
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public List<NameDesc> Parameters => new List<NameDesc>
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{
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new NameDesc("reason", "why end conversation"),
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new NameDesc("response", "response content to user")
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};
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public ConversationEndRoutingHandler(IServiceProvider services, ILogger<ConversationEndRoutingHandler> logger, RoutingSettings settings)
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: base(services, logger, settings)
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{
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@ -1,4 +1,5 @@
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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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@ -12,6 +13,12 @@ public class HumanInterventionNeededHandler : RoutingHandlerBase, IRoutingHandle
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private readonly RoutingSettings _settings;
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public List<NameDesc> Parameters => new List<NameDesc>
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{
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new NameDesc("reason", "why need customer service representative (human being)"),
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new NameDesc("response", "response content to user")
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};
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public HumanInterventionNeededHandler(IServiceProvider services, ILogger<HumanInterventionNeededHandler> logger, RoutingSettings settings)
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: base(services, logger, settings)
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{
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@ -9,10 +9,16 @@ 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.";
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public string Description => "Response according to the context without asking specific agent.";
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public bool IsReasoning => false;
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public List<NameDesc> Parameters => new List<NameDesc>
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{
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new NameDesc("reason", "why response to user"),
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new NameDesc("response", "response content")
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};
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public ResponseToUserRoutingHandler(IServiceProvider services, ILogger<ResponseToUserRoutingHandler> logger, RoutingSettings settings)
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: base(services, logger, settings)
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{
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@ -15,6 +15,9 @@ 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("reason", "why route to agent"),
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new NameDesc("next_action_agent", "agent for next action based on user latest response"),
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new NameDesc("user_goal_agent", "agent who can achieve user original goal"),
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new NameDesc("args", "useful parameters of next action agent")
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};
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@ -1,8 +1,5 @@
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using BotSharp.Abstraction.Functions.Models;
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using BotSharp.Abstraction.Models;
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using BotSharp.Abstraction.Repositories;
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using BotSharp.Abstraction.Routing;
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using BotSharp.Abstraction.Routing.Models;
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namespace BotSharp.Core.Routing.Hooks;
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@ -33,15 +33,6 @@ public class RouterInstance : IRouterInstance
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return this;
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}
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public IRouterInstance WithDialogs(List<RoleDialogModel> dialogs)
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{
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foreach (var dialog in dialogs.TakeLast(20))
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{
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_router.Instruction += $"\r\n{dialog.Role}: {dialog.Content}";
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}
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return this;
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}
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public List<RoutingHandlerDef> GetHandlers()
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{
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return _services.GetServices<IRoutingHandler>()
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@ -61,6 +61,13 @@ public partial class RoutingService
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{
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try
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{
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var conversation = "";
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foreach (var dialog in _dialogs.TakeLast(20))
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{
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conversation += $"{dialog.Role}: {dialog.Content}\r\n";
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}
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content = $"{conversation}\r\n###\r\n{content}";
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response = completion.GetChatCompletions(_routerInstance.Router, new List<RoleDialogModel>
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{
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new RoleDialogModel(AgentRole.User, content)
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@ -107,7 +114,7 @@ public partial class RoutingService
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}
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#if !DEBUG
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[MemoryCache(60 * 60)]
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[MemoryCache(10 * 60)]
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#endif
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private string GetNextStepPrompt()
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{
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@ -63,7 +63,7 @@ public partial class RoutingService : IRoutingService
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public async Task<RoleDialogModel> InstructLoop()
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{
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_routerInstance.Load().WithDialogs(Dialogs);
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_routerInstance.Load();
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var router = _routerInstance.Router;
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var result = new RoleDialogModel(AgentRole.Assistant, "Can you repeat your request again?")
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@ -97,7 +97,6 @@ public partial class RoutingService : IRoutingService
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result = await handler.Handle(this, inst);
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message = result.Content.Replace("\r\n", " ");
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router.Instruction += $"\r\n{result.Role}: {message}";
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stop = !_settings.EnableReasoning;
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}
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@ -1,7 +1,6 @@
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using BotSharp.Abstraction.Repositories;
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using BotSharp.Abstraction.Routing.Models;
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using BotSharp.Abstraction.Templating;
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using System.IO;
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using System.Reflection;
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namespace BotSharp.Core.Templating;
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@ -21,6 +21,7 @@ public class TemplateRender : ITemplateRender
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_options.MemberAccessStrategy.MemberNameStrategy = MemberNameStrategies.SnakeCase;
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_options.MemberAccessStrategy.Register<NameDesc>();
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_options.MemberAccessStrategy.Register<RoleDialogModel>();
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_options.MemberAccessStrategy.Register<Agent>();
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_options.MemberAccessStrategy.Register<RoutingItem>();
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_options.MemberAccessStrategy.Register<RoutingHandlerDef>();
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@ -248,23 +248,27 @@ public class ChatCompletionProvider : IChatCompletion
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var convSetting = _services.GetRequiredService<ConversationSetting>();
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if (convSetting.ShowVerboseLog)
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{
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_logger.LogInformation("VERBOSE COMPLETION MESSAGES");
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var verbose = string.Join("\r\n", chatCompletionsOptions.Messages.Select(x =>
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if (chatCompletionsOptions.Messages.Count > 0)
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{
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return x.Role == ChatRole.Function ?
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$"{x.Role}: {x.Name} => {x.Content}" :
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$"{x.Role}: {x.Content}";
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}));
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_logger.LogInformation("VERBOSE COMPLETION MESSAGES");
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var verbose = string.Join("\r\n", chatCompletionsOptions.Messages.Select(x =>
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{
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return x.Role == ChatRole.Function ?
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$"{x.Role}: {x.Name} => {x.Content}" :
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$"{x.Role}: {x.Content}";
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}));
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_logger.LogInformation(verbose);
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}
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_logger.LogInformation(verbose);
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_logger.LogInformation("VERBOSE FUNCTIONS");
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verbose = string.Join("\r\n", chatCompletionsOptions.Functions.Select(x =>
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if (chatCompletionsOptions.Functions.Count > 0)
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{
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return $"{x.Name}: {x.Description}\r\n{x.Parameters}";
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}));
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_logger.LogInformation(verbose);
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_logger.LogInformation("VERBOSE FUNCTIONS");
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var verbose = string.Join("\r\n", chatCompletionsOptions.Functions.Select(x =>
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{
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return $"{x.Name}: {x.Description}\r\n{x.Parameters}";
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}));
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_logger.LogInformation(verbose);
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}
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}
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return chatCompletionsOptions;
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@ -1,31 +1,30 @@
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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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4. Re-think about selected function is from FUNCTIONS to handle the request.
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1. Read the [CONVERSATION] content.
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2. Select a appropriate function from [FUNCTIONS].
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3. Determine which agent is suitable to handle this conversation.
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4. Re-think about the selected function or agent is the best choice.
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FUNCTIONS
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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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# {{ handler.description}}
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{% if handler.parameters and handler.parameters != empty -%}
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Parameters:
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Response: { "function": "{{ handler.name }}",
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{% for p in handler.parameters -%}
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{{ p.name }}: {{ p.description }}{{ "\r\n " }}
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{%- endfor %}
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"{{ p.name }}": "{{ p.description }}"{{ ",\r\n " }}
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{%- endfor %}}
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{%- endif %}
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{% endfor %}
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AGENTS
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[AGENTS]
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{% for agent in routing_agents %}
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* {{ agent.name }}
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* Agent: {{ agent.name }}
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{{ agent.description}}
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{% if agent.required_fields and agent.required_fields != empty -%}
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Required:
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Required args: {
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{% for f in agent.required_fields -%}
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{{ f.name }}: {{ f.description }}{{ "\r\n " }}
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{%- endfor %}
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"{{ f.name }}": "{{ f.description }}"{{ ",\r\n " }}
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{%- endfor %}}
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{%- endif %}
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{% endfor %}
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CONVERSATION
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[CONVERSATION]
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@ -1,20 +1 @@
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What is the next step based on the CONVERSATION? Or you can handle without asking specific agent.
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Response must be in JSON format
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{% if enabled_reasoning %}
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{
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"function":"route_to_agent"
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}
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{% else %}
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{
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"function":"route_to_agent",
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"reason":"the reason why you select this function or agent",
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"response":"content of replying to user",
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"next_action_agent":"agent for next action based on user latest response",
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"user_goal_agent":"agent who can achieve user original goal",
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"args": {}
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}
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{% endif %}
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If the user has no other tasks need help with, set function as conversation_end with reason and reply user courteously.
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If the user wants to reach out to customer service representative (human being), set function as human_intervention_needed with reason and reply user courteously.
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What is the next step based on the CONVERSATION? Response must be in appropriate JSON format.
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@ -7,4 +7,4 @@ Follow below step to place 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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* Today is {{current_date}}, the time now is {{current_time}}, day of week is {{current_weekday}}.
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|
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@ -8,6 +8,7 @@
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"routingRules": [
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{
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"field": "order_number",
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"description": "order number",
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"required": true,
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"redirectTo": "c2b57a74-ae4e-4c81-b3ad-9ac5bff982bd"
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}
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@ -1,20 +0,0 @@
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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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<GeneratePackageOnBuild>False</GeneratePackageOnBuild>
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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="Refit" Version="7.0.0" />
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</ItemGroup>
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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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</Project>
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@ -1,17 +0,0 @@
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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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namespace BotSharp.TestingConsole;
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public interface IBotSharpOpenAPI
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{
|
||||
[Post("/conversation/{agentId}")]
|
||||
Task<ConversationViewModel> NewConversation([Header("Authorization")] string authorization, string agentId);
|
||||
|
||||
[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);
|
||||
}
|
||||
|
|
@ -1,74 +0,0 @@
|
|||
// 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