using BotSharp.Abstraction.Functions; using BotSharp.Abstraction.MLTasks; namespace BotSharp.Core.Files.Functions; public class LoadAttachmentFn : IFunctionCallback { public string Name => "load_attachment"; public string Indication => "Analyzing files"; private readonly IServiceProvider _services; private readonly ILogger _logger; private const string AIAssistant = "01fcc3e5-9af7-49e6-ad7a-a760bd12dc4a"; public LoadAttachmentFn( IServiceProvider services, ILogger logger) { _services = services; _logger = logger; } public async Task Execute(RoleDialogModel message) { var conv = _services.GetRequiredService(); var agentService = _services.GetRequiredService(); var wholeDialogs = conv.GetDialogHistory(); var dialogs = AssembleFiles(conv.ConversationId, wholeDialogs); var agent = await agentService.LoadAgent(AIAssistant); var fileAgent = new Agent { Id = agent.Id, Name = agent.Name, Instruction = "Please describe the images.", TemplateDict = new Dictionary() }; var response = await GetChatCompletion(fileAgent, dialogs); message.Content = response; message.StopCompletion = true; return true; } private List AssembleFiles(string conversationId, List dialogs) { if (dialogs.IsNullOrEmpty()) { return new List(); } var fileService = _services.GetRequiredService(); var files = fileService.GetChatImages(conversationId, dialogs); foreach (var dialog in dialogs) { var found = files.Where(x => x.MessageId == dialog.MessageId).ToList(); if (found.IsNullOrEmpty()) continue; dialog.Files = found.Select(x => new BotSharpFile { FileName = x.FileName, ContentType = x.ContentType, FileStorageUrl = x.FileStorageUrl }).ToList(); } return dialogs; } private async Task GetChatCompletion(Agent agent, List dialogs) { try { var llmProviderService = _services.GetRequiredService(); var provider = llmProviderService.GetProviders().FirstOrDefault(x => x == "openai"); var model = llmProviderService.GetProviderModel(provider: provider, id: "gpt-4", multiModal: true); var completion = CompletionProvider.GetChatCompletion(_services, provider: provider, model: model.Name); var response = await completion.GetChatCompletions(agent, dialogs); return response.Content; } catch (Exception ex) { var error = $"Error when analyzing files."; _logger.LogWarning($"{error} {ex.Message}"); return error; } } }