using BotSharp.Abstraction.Agents.Models; using BotSharp.Abstraction.Functions.Models; using BotSharp.Abstraction.Routing; using BotSharp.Abstraction.Routing.Models; using BotSharp.Abstraction.Routing.Planning; using BotSharp.Abstraction.Templating; using System.Drawing; namespace BotSharp.Core.Routing.Planning; public class SequentialPlanner : IPlaner { private readonly IServiceProvider _services; private readonly ILogger _logger; public bool HideDialogContext => true; public int MaxLoopCount => 10; public SequentialPlanner(IServiceProvider services, ILogger logger) { _services = services; _logger = logger; } public async Task GetNextInstruction(Agent router, string messageId) { var next = GetNextStepPrompt(router); var inst = new FunctionCallFromLlm(); // text completion /*var agentService = _services.GetRequiredService(); var instruction = agentService.RenderedInstruction(router); var content = $"{instruction}\r\n###\r\n{next}"; content = content + "\r\nResponse: "; var completion = CompletionProvider.GetTextCompletion(_services);*/ // chat completion var completion = CompletionProvider.GetChatCompletion(_services, provider: router?.LlmConfig?.Provider, model: router?.LlmConfig?.Model); int retryCount = 0; while (retryCount < 3) { string text = string.Empty; try { // text completion // text = await completion.GetCompletion(content, router.Id, messageId); var dialogs = new List { new RoleDialogModel(AgentRole.User, next) { FunctionName = nameof(SequentialPlanner), MessageId = messageId } }; var response = await completion.GetChatCompletions(router, dialogs); inst = response.Content.JsonContent(); break; } catch (Exception ex) { _logger.LogError($"{ex.Message}: {text}"); inst.Function = "response_to_user"; inst.Response = ex.Message; inst.AgentName = "Router"; } finally { retryCount++; } } return inst; } public async Task AgentExecuting(Agent router, FunctionCallFromLlm inst, RoleDialogModel message) { // Set user content as Planner's question message.FunctionName = inst.Function; message.FunctionArgs = inst.Arguments == null ? "{}" : JsonSerializer.Serialize(inst.Arguments); return true; } public async Task AgentExecuted(Agent router, FunctionCallFromLlm inst, RoleDialogModel message) { var context = _services.GetRequiredService(); if (message.StopCompletion) { context.Empty(); return false; } // Handover to Router; context.Pop(); var routing = _services.GetRequiredService(); routing.ResetRecursiveCounter(); return true; } private string GetNextStepPrompt(Agent router) { var template = router.Templates.First(x => x.Name == "planner_prompt.sequential").Content; var render = _services.GetRequiredService(); return render.Render(template, new Dictionary { }); } public async Task GetDecomposedStepAsync(Agent router, string messageId, List dialogs) { var systemPrompt = GetDecomposeTaskPrompt(router); var inst = new DecomposedStep(); // chat completion var completion = CompletionProvider.GetChatCompletion(_services, model: "llm-gpt4"); int retryCount = 0; while (retryCount < 2) { string text = string.Empty; try { var response = await completion.GetChatCompletions(new Agent { Id = router.Id, Name = nameof(SequentialPlanner), Instruction = systemPrompt }, dialogs); text = response.Content; Console.WriteLine(text, Color.Red); inst = response.Content.JsonContent(); break; } catch (Exception ex) { _logger.LogError($"{ex.Message}: {text}"); } finally { retryCount++; } } return inst; } private string GetDecomposeTaskPrompt(Agent router) { var template = router.Templates.First(x => x.Name == "planner_prompt.sequential.get_remaining_task").Content; var render = _services.GetRequiredService(); return render.Render(template, new Dictionary { }); } }