ivanch/mindforge
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

moving to openrouter
All checks were successful
Mindforge API Build and Deploy / Build Mindforge API Image (push) Successful in 3m39s
Details
Mindforge Cronjob Build and Deploy / Build Mindforge Cronjob Image (push) Successful in 3m49s
Details
Mindforge API Build and Deploy / Deploy Mindforge API (internal) (push) Successful in 38s
Details
Mindforge Cronjob Build and Deploy / Deploy Mindforge Cronjob (internal) (push) Successful in 30s
Details

Browse Source
This commit is contained in:
Jose Henrique
2026-04-04 21:09:18 -03:00
parent d0543544f8
commit b9736293d3
11 changed files with 58 additions and 342 deletions
Download Patch File Download Diff File Expand all files Collapse all files

37
Mindforge.API/Services/AgentService.cs
View File

@@ -1,8 +1,4 @@
using System;
using System.Collections.Generic;
using System.Linq;
using System.Threading.Tasks;
using Mindforge.API.Models.Enums;
using Mindforge.API.Providers;
using Mindforge.API.Services.Interfaces;
@@ -10,39 +6,16 @@ namespace Mindforge.API.Services
{
public class AgentService : IAgentService
{
private readonly IEnumerable<ILlmApiProvider> _providers;
private readonly ILlmApiProvider _provider;
public AgentService(IEnumerable<ILlmApiProvider> providers)
public AgentService(ILlmApiProvider provider)
{
_providers = providers;
_provider = provider;
}
public Task<string> ProcessRequestAsync(LlmProvider providerEnum, string systemPrompt, string userPrompt, string model)
public Task<string> ProcessRequestAsync(string systemPrompt, string userPrompt)
{
ILlmApiProvider provider = providerEnum switch
{
LlmProvider.OpenAI => _providers.OfType<OpenAIApiProvider>().FirstOrDefault()
?? throw new Exception("OpenAI provider not registered"),
LlmProvider.Gemini => _providers.OfType<GeminiApiProvider>().FirstOrDefault()
?? throw new Exception("Gemini provider not registered"),
_ => throw new Exception("Unknown provider")
};
return provider.SendRequestAsync(systemPrompt, userPrompt, model);
}
public Task<string> ProcessRequestBatchAsync(LlmProvider providerEnum, string systemPrompt, string userPrompt, string model)
{
ILlmApiProvider provider = providerEnum switch
{
LlmProvider.OpenAI => _providers.OfType<OpenAIApiProvider>().FirstOrDefault()
?? throw new Exception("OpenAI provider not registered"),
LlmProvider.Gemini => _providers.OfType<GeminiApiProvider>().FirstOrDefault()
?? throw new Exception("Gemini provider not registered"),
_ => throw new Exception("Unknown provider")
};
return provider.SendRequestBatchAsync(systemPrompt, userPrompt, model);
return _provider.SendRequestAsync(systemPrompt, userPrompt);
}
}
}

7
Mindforge.API/Services/FileService.cs
View File

@@ -1,6 +1,4 @@
using System;
using System.Threading.Tasks;
using Mindforge.API.Models.Enums;
using Mindforge.API.Models.Requests;
using Mindforge.API.Services.Interfaces;
using Mindforge.API.Exceptions;
@@ -11,9 +9,6 @@ namespace Mindforge.API.Services
{
private readonly IAgentService _agentService;
private const LlmProvider DefaultProvider = LlmProvider.OpenAI;
private const string DefaultModel = "gpt-5-mini";
public FileService(IAgentService agentService)
{
_agentService = agentService;
@@ -55,7 +50,7 @@ Os resumos serão utilizados para concursos públicos, principalmente para a ban
string userPrompt = $"Arquivo: {request.FileName}\nConteúdo:\n{request.FileContent}";
return await _agentService.ProcessRequestAsync(DefaultProvider, systemPrompt, userPrompt, DefaultModel);
return await _agentService.ProcessRequestAsync(systemPrompt, userPrompt);
}
}
}

30
Mindforge.API/Services/FlashcardService.cs
View File

@@ -1,5 +1,4 @@
using System.Threading.Tasks;
using Mindforge.API.Models.Enums;
using Mindforge.API.Models.Requests;
using Mindforge.API.Services.Interfaces;
@@ -10,9 +9,6 @@ namespace Mindforge.API.Services
private readonly IAgentService _agentService;
private readonly ILogger<FlashcardService> _logger;
private const LlmProvider DefaultProvider = LlmProvider.Gemini;
private string DefaultModel = "gemini-3.1-flash-image-preview";
public FlashcardService(IAgentService agentService, ILogger<FlashcardService> logger)
{
_agentService = agentService;
@@ -21,25 +17,12 @@ namespace Mindforge.API.Services
public async Task<string> GenerateFlashcardsAsync(FlashcardGenerateRequest request)
{
var extraPrompt = "";
switch (request.Mode)
var extraPrompt = request.Mode switch
{
case FlashcardMode.Basic:
DefaultModel = "gemini-3.1-flash-lite-preview";
break;
case FlashcardMode.Simple:
DefaultModel = "gemini-3.1-flash-image-preview";
break;
case FlashcardMode.Detailed:
DefaultModel = "gemini-3.1-flash-image-preview";
extraPrompt = "Crie flashcards mais detalhados.";
break;
case FlashcardMode.Hyper:
DefaultModel = "gemini-3.1-pro-preview";
extraPrompt = "Adicione também pequenas questões para fixação, para que o usuário possa testar seus conhecimentos. As questões devem ser curtas e objetivas, como se fosse cobradas em prova mesmo.";
break;
}
FlashcardMode.Detailed => "Crie flashcards mais detalhados.",
FlashcardMode.Hyper => "Adicione também pequenas questões para fixação, para que o usuário possa testar seus conhecimentos. As questões devem ser curtas e objetivas, como se fosse cobradas em prova mesmo.",
_ => ""
};
string systemPrompt = $@"Você é um assistente educacional especializado em criar flashcards para o Anki.
Baseado no texto fornecido, crie exatamente {request.Amount} flashcards que focam nos conceitos mais importantes e difíceis.
@@ -57,8 +40,7 @@ Com base no arquivo fornecido, crie exatamente {request.Amount} flashcards que f
string userPrompt = $"Arquivo: {request.FileName}\nConteúdo:\n{request.FileContent}";
//var result = await _agentService.ProcessRequestAsync(DefaultProvider, systemPrompt, userPrompt, DefaultModel);
var result = await _agentService.ProcessRequestBatchAsync(DefaultProvider, systemPrompt, userPrompt, DefaultModel);
var result = await _agentService.ProcessRequestAsync(systemPrompt, userPrompt);
var lines = result.Split('\n');

4
Mindforge.API/Services/Interfaces/IAgentService.cs
View File

@@ -1,11 +1,9 @@
using System.Threading.Tasks;
using Mindforge.API.Models.Enums;
namespace Mindforge.API.Services.Interfaces
{
public interface IAgentService
{
Task<string> ProcessRequestAsync(LlmProvider provider, string systemPrompt, string userPrompt, string model);
Task<string> ProcessRequestBatchAsync(LlmProvider provider, string systemPrompt, string userPrompt, string model);
Task<string> ProcessRequestAsync(string systemPrompt, string userPrompt);
}
}