moving to openrouter

Mindforge.API/Models/Enums/LlmProvider.cs

@@ -1,8 +0,0 @@
-namespace Mindforge.API.Models.Enums
-{
-    public enum LlmProvider
-    {
-        OpenAI,
-        Gemini
-    }
-}

Mindforge.API/Program.cs

@@ -34,7 +34,6 @@ builder.Services.AddHttpClient();
 
 // Register Providers
 builder.Services.AddScoped<ILlmApiProvider, OpenAIApiProvider>();
-builder.Services.AddScoped<ILlmApiProvider, GeminiApiProvider>();
 
 // Register Services
 builder.Services.AddScoped<IAgentService, AgentService>();
@@ -59,30 +58,26 @@ app.UseAuthorization();
 app.MapControllers();
 
 // Check for env vars
-var openAiKey = builder.Configuration["OPENAI_API_KEY"];
-var geminiKey = builder.Configuration["GEMINI_API_KEY"];
+var openAiApiUrl = builder.Configuration["OPENAI_API_URL"];
+var openAiToken = builder.Configuration["OPENAI_TOKEN"];
+var openAiModel = builder.Configuration["OPENAI_MODEL"];
 
-if (string.IsNullOrEmpty(openAiKey))
-{
-    app.Logger.LogWarning("OPENAI_API_KEY not found in configuration.");
-}
+if (string.IsNullOrEmpty(openAiApiUrl))
+    app.Logger.LogWarning("OPENAI_API_URL not found in configuration.");
 
-if (string.IsNullOrEmpty(geminiKey))
-{
-    app.Logger.LogWarning("GEMINI_API_KEY not found in configuration.");
-}
+if (string.IsNullOrEmpty(openAiToken))
+    app.Logger.LogWarning("OPENAI_TOKEN not found in configuration.");
+
+if (string.IsNullOrEmpty(openAiModel))
+    app.Logger.LogWarning("OPENAI_MODEL not found in configuration.");
 
 var giteaRepoUrl = builder.Configuration["GITEA_REPO_URL"];
 var giteaAccessToken = builder.Configuration["GITEA_ACCESS_TOKEN"];
 
 if (string.IsNullOrEmpty(giteaRepoUrl))
-{
     app.Logger.LogWarning("GITEA_REPO_URL not found in configuration. Repository features will not work.");
-}
 
 if (string.IsNullOrEmpty(giteaAccessToken))
-{
     app.Logger.LogWarning("GITEA_ACCESS_TOKEN not found in configuration. Repository features will not work.");
-}
 
 app.Run();

Mindforge.API/Providers/GeminiApiProvider.cs

@@ -1,202 +0,0 @@
-using System;
-using System.Net.Http;
-using System.Text;
-using System.Text.Json;
-using System.Threading;
-using System.Threading.Tasks;
-using Microsoft.Extensions.Configuration;
-
-namespace Mindforge.API.Providers
-{
-    public class GeminiApiProvider : ILlmApiProvider
-    {
-        private readonly HttpClient _httpClient;
-        private readonly IConfiguration _configuration;
-        private readonly ILogger<GeminiApiProvider> _logger;
-
-        public GeminiApiProvider(HttpClient httpClient, IConfiguration configuration, ILogger<GeminiApiProvider> logger)
-        {
-            _httpClient = httpClient;
-            _httpClient.Timeout = TimeSpan.FromMinutes(5);
-            _configuration = configuration;
-            _logger = logger;
-        }
-
-        public async Task<string> SendRequestAsync(string systemPrompt, string userPrompt, string model)
-        {
-            var apiKey = _configuration["GEMINI_API_KEY"];
-            if (string.IsNullOrEmpty(apiKey))
-            {
-                throw new Exception("GEMINI_API_KEY not found in configuration.");
-            }
-
-            var apiBase = "https://generativelanguage.googleapis.com/v1beta";
-            var url = $"{apiBase.TrimEnd('/')}/models/{model}:generateContent?key={apiKey}";
-
-            var reqBody = new
-            {
-                system_instruction = string.IsNullOrEmpty(systemPrompt) ? null : new
-                {
-                    parts = new[] { new { text = systemPrompt } }
-                },
-                contents = new[]
-                {
-                    new
-                    {
-                        role = "user",
-                        parts = new[] { new { text = userPrompt } }
-                    }
-                }
-            };
-
-            var jsonBody = JsonSerializer.Serialize(reqBody, new JsonSerializerOptions { DefaultIgnoreCondition = System.Text.Json.Serialization.JsonIgnoreCondition.WhenWritingNull });
-
-            using var request = new HttpRequestMessage(HttpMethod.Post, url);
-            request.Content = new StringContent(jsonBody, Encoding.UTF8, "application/json");
-
-            var response = await _httpClient.SendAsync(request);
-            var responseBody = await response.Content.ReadAsStringAsync();
-
-            if (!response.IsSuccessStatusCode)
-            {
-                throw new Exception($"Gemini API error status {(int)response.StatusCode}: {responseBody}");
-            }
-
-            var result = JsonSerializer.Deserialize<JsonElement>(responseBody);
-            if (result.TryGetProperty("candidates", out var candidates) && candidates.GetArrayLength() > 0)
-            {
-                var content = candidates[0].GetProperty("content");
-                if (content.TryGetProperty("parts", out var parts) && parts.GetArrayLength() > 0)
-                {
-                    return parts[0].GetProperty("text").GetString() ?? string.Empty;
-                }
-            }
-
-            throw new Exception("empty response from Gemini API");
-        }
-
-        public async Task<string> SendRequestBatchAsync(string systemPrompt, string userPrompt, string model)
-        {
-            var apiKey = _configuration["GEMINI_API_KEY"];
-            if (string.IsNullOrEmpty(apiKey))
-                throw new Exception("GEMINI_API_KEY not found in configuration.");
-
-            var apiBase = "https://generativelanguage.googleapis.com/v1beta";
-            var jsonOptions = new JsonSerializerOptions { DefaultIgnoreCondition = System.Text.Json.Serialization.JsonIgnoreCondition.WhenWritingNull };
-
-            // Build single inline request
-            var batchBody = new
-            {
-                batch = new
-                {
-                    display_name = "mindforge-batch",
-                    input_config = new
-                    {
-                        requests = new
-                        {
-                            requests = new[]
-                            {
-                                new
-                                {
-                                    request = new
-                                    {
-                                        system_instruction = string.IsNullOrEmpty(systemPrompt) ? null : new
-                                        {
-                                            parts = new[] { new { text = systemPrompt } }
-                                        },
-                                        contents = new[]
-                                        {
-                                            new
-                                            {
-                                                role = "user",
-                                                parts = new[] { new { text = userPrompt } }
-                                            }
-                                        }
-                                    },
-                                    metadata = new { key = "request-1" }
-                                }
-                            }
-                        }
-                    }
-                }
-            };
-
-            // Submit batch job
-            var createUrl = $"{apiBase}/models/{model}:batchGenerateContent?key={apiKey}";
-            using var createReq = new HttpRequestMessage(HttpMethod.Post, createUrl);
-            createReq.Content = new StringContent(JsonSerializer.Serialize(batchBody, jsonOptions), Encoding.UTF8, "application/json");
-
-            var createResp = await _httpClient.SendAsync(createReq);
-            var createBody = await createResp.Content.ReadAsStringAsync();
-            if (!createResp.IsSuccessStatusCode)
-                throw new Exception($"Gemini Batch API error creating job {(int)createResp.StatusCode}: {createBody}");
-
-            _logger.LogInformation("Gemini Batch API job created");
-
-            var createResult = JsonSerializer.Deserialize<JsonElement>(createBody);
-            if (!createResult.TryGetProperty("name", out var nameEl))
-                throw new Exception("Gemini Batch API did not return a job name.");
-
-            var batchName = nameEl.GetString()!;
-            var pollUrl = $"{apiBase}/{batchName}?key={apiKey}";
-
-            _logger.LogInformation("Gemini Batch API job name: {BatchName}", batchName);
-
-            // Poll until terminal state
-            while (true)
-            {
-                await Task.Delay(TimeSpan.FromSeconds(10));
-
-                using var pollReq = new HttpRequestMessage(HttpMethod.Get, pollUrl);
-                var pollResp = await _httpClient.SendAsync(pollReq);
-                var pollBody = await pollResp.Content.ReadAsStringAsync();
-
-                if (!pollResp.IsSuccessStatusCode)
-                    throw new Exception($"Gemini Batch API error polling status {(int)pollResp.StatusCode}: {pollBody}");
-
-                var pollResult = JsonSerializer.Deserialize<JsonElement>(pollBody);
-                var metadata = pollResult.GetProperty("metadata");
-                var state = metadata.GetProperty("state");
-
-                _logger.LogInformation("Gemini Batch API job state: {State}", state.GetString());
-
-                switch (state.GetString())
-                {
-                    case "BATCH_STATE_SUCCEEDED":
-                        if (pollResult.TryGetProperty("response", out var batchResponse) &&
-                            batchResponse.TryGetProperty("inlinedResponses", out var inlinedResponses) &&
-                            inlinedResponses.TryGetProperty("inlinedResponses", out var inlinedResponsesInternal) &&
-                            inlinedResponsesInternal.GetArrayLength() > 0)
-                        {
-                            _logger.LogInformation("Gemini Batch API job succeeded");
-
-                            var first = inlinedResponsesInternal[0];
-                            if (first.TryGetProperty("error", out var reqError))
-                                throw new Exception($"Gemini Batch request error: {reqError}");
-
-                            if (first.TryGetProperty("response", out var innerResponse) &&
-                                innerResponse.TryGetProperty("candidates", out var candidates) &&
-                                candidates.GetArrayLength() > 0)
-                            {
-                                var content = candidates[0].GetProperty("content");
-                                if (content.TryGetProperty("parts", out var parts) && parts.GetArrayLength() > 0)
-                                    return parts[0].GetProperty("text").GetString() ?? string.Empty;
-                            }
-                        }
-                        throw new Exception("Gemini Batch job succeeded but returned no content.");
-
-                    case "BATCH_STATE_FAILED":
-                        throw new Exception($"Gemini Batch job failed: {pollBody}");
-
-                    case "BATCH_STATE_CANCELLED":
-                        throw new Exception("Gemini Batch job was cancelled.");
-
-                    case "BATCH_STATE_EXPIRED":
-                        throw new Exception("Gemini Batch job expired before completing.");
-
-                    // BATCH_STATE_PENDING / BATCH_STATE_RUNNING — keep polling
-                }
-            }
-        }
-    }
-}

Mindforge.API/Providers/ILlmApiProvider.cs

@@ -4,7 +4,6 @@ namespace Mindforge.API.Providers
 {
     public interface ILlmApiProvider
     {
-        Task<string> SendRequestAsync(string systemPrompt, string userPrompt, string model);
-        Task<string> SendRequestBatchAsync(string systemPrompt, string userPrompt, string model);
+        Task<string> SendRequestAsync(string systemPrompt, string userPrompt);
     }
 }

Mindforge.API/Providers/OpenAIApiProvider.cs

@@ -22,28 +22,29 @@ namespace Mindforge.API.Providers
             _logger = logger;
         }
 
-        public async Task<string> SendRequestAsync(string systemPrompt, string userPrompt, string model)
+        public async Task<string> SendRequestAsync(string systemPrompt, string userPrompt)
         {
-            var apiKey = _configuration["OPENAI_API_KEY"];
-            if (string.IsNullOrEmpty(apiKey))
-            {
-                throw new Exception("OPENAI_API_KEY not found in configuration.");
-            }
+            var apiUrl = _configuration["OPENAI_API_URL"];
+            if (string.IsNullOrEmpty(apiUrl))
+                throw new Exception("OPENAI_API_URL not found in configuration.");
 
-            var apiBase = "https://api.openai.com/v1";
-            var url = $"{apiBase.TrimEnd('/')}/responses";
+            var token = _configuration["OPENAI_TOKEN"];
+            if (string.IsNullOrEmpty(token))
+                throw new Exception("OPENAI_TOKEN not found in configuration.");
+
+            var model = _configuration["OPENAI_MODEL"];
+            if (string.IsNullOrEmpty(model))
+                throw new Exception("OPENAI_MODEL not found in configuration.");
+
+            var url = $"{apiUrl.TrimEnd('/')}/chat/completions";
 
             var reqBody = new
             {
                 model = model,
-                input = new[]
+                messages = new[]
                 {
-                    new { role = "developer", content = systemPrompt },
+                    new { role = "system", content = systemPrompt },
                     new { role = "user", content = userPrompt }
-                },
-                reasoning = new
-                {
-                    effort = "low"
                 }
             };
 
@@ -54,7 +55,7 @@ namespace Mindforge.API.Providers
             for (int i = 0; i < 5; i++)
             {
                 using var request = new HttpRequestMessage(HttpMethod.Post, url);
-                request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
+                request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", token);
                 request.Content = new StringContent(jsonBody, Encoding.UTF8, "application/json");
 
                 try
@@ -64,47 +65,30 @@ namespace Mindforge.API.Providers
 
                     if (!response.IsSuccessStatusCode)
                     {
-                        lastErr = new Exception($"OpenAI API error status {(int)response.StatusCode}: {responseBody}");
+                        lastErr = new Exception($"API error status {(int)response.StatusCode}: {responseBody}");
                         await Task.Delay(TimeSpan.FromSeconds(1 << i));
                         continue;
                     }
 
                     var result = JsonSerializer.Deserialize<JsonElement>(responseBody);
-                    if (result.TryGetProperty("output", out var outputArray))
+                    if (result.TryGetProperty("choices", out var choices) && choices.GetArrayLength() > 0)
                     {
-                        foreach (var outputItem in outputArray.EnumerateArray())
-                        {
-                            if (outputItem.TryGetProperty("content", out var contentArray))
-                            {
-                                foreach (var contentItem in contentArray.EnumerateArray())
-                                {
-                                    if (contentItem.TryGetProperty("text", out var textContent))
-                                    {
-                                        return textContent.GetString() ?? string.Empty;
-                                    }
-                                }
-                            }
-                        }
+                        var message = choices[0].GetProperty("message");
+                        return message.GetProperty("content").GetString() ?? string.Empty;
                     }
 
-                    _logger.LogWarning("OpenAI API raw response: {responseBody}", responseBody);
-
-                    throw new Exception("empty response from OpenAI API");
+                    _logger.LogWarning("API raw response: {responseBody}", responseBody);
+                    throw new Exception("Empty response from API.");
                 }
                 catch (Exception ex)
                 {
-                    _logger.LogError(ex, "Error in OpenAI API request");
+                    _logger.LogError(ex, "Error in API request");
                     lastErr = ex;
                     await Task.Delay(TimeSpan.FromSeconds(1 << i));
                 }
             }
 
-            throw new Exception($"failed to get OpenAI response after 5 attempts. Last error: {lastErr?.Message}", lastErr);
-        }
-
-        public async Task<string> SendRequestBatchAsync(string systemPrompt, string userPrompt, string model)
-        {
-            throw new NotImplementedException();
+            throw new Exception($"Failed to get response after 5 attempts. Last error: {lastErr?.Message}", lastErr);
         }
     }
 }

Mindforge.API/Services/AgentService.cs

@@ -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);
         }
     }
 }

Mindforge.API/Services/FileService.cs

@@ -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);
         }
     }
 }

Mindforge.API/Services/FlashcardService.cs

@@ -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');
 

Mindforge.API/Services/Interfaces/IAgentService.cs

@@ -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);
     }
 }

Mindforge.API/appsettings.json

@@ -6,8 +6,9 @@
     }
   },
   "AllowedHosts": "*",
-  "OPENAI_API_KEY": "",
-  "GEMINI_API_KEY": "",
+  "OPENAI_API_URL": "https://openrouter.ai/api/v1",
+  "OPENAI_TOKEN": "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",
+  "OPENAI_MODEL": "openai/gpt-5.4-mini",
   "GITEA_REPO_URL": "",
   "GITEA_ACCESS_TOKEN": ""
-}
+}

Mindforge.API/deploy/mindforge-api.yaml

@@ -20,16 +20,15 @@ spec:
           ports:
             - containerPort: 8080
           env:
-            - name: OPENAI_API_KEY
+            - name: OPENAI_TOKEN
               valueFrom:
                 secretKeyRef:
                   name: mindforge-secrets
-                  key: OPENAI_API_KEY
-            - name: GEMINI_API_KEY
-              valueFrom:
-                secretKeyRef:
-                  name: mindforge-secrets
-                  key: GEMINI_API_KEY
+                  key: OPENAI_TOKEN
+            - name: OPENAI_API_URL
+              value: https://openrouter.ai/api/v1
+            - name: OPENAI_MODEL
+              value: openai/gpt-5.4-mini
             - name: GITEA_REPO_URL
               valueFrom:
                 secretKeyRef:

mindforge.cronjob/.env.example

@@ -1,14 +1,9 @@
 GIT_REPOSITORY=https://git.url/user/repo.git
-OPENAI_API_KEY=openai_api_key
-GEMINI_API_KEY=gemini_api_key
 DISCORD_WEBHOOK_URL=discord_webhook_channel_url
 
-# LLM provider per agent function ("openai" or "gemini", defaults to "openai")
-SUMMARY_CREATOR_PROVIDER=gemini
-SUMMARY_FORMATTER_PROVIDER=openai
-
-# LLM models
-GEMINI_MODEL=gemini-3-flash-preview
-OPENAI_MODEL=gpt-5-mini
+# OpenAI-compatible provider (e.g. OpenRouter)
+OPENAI_API_URL=https://openrouter.ai/api/v1
+OPENAI_TOKEN=your_token_here
+OPENAI_MODEL=openai/gpt-5.4-mini
 
 TOP_N_FILES=10

mindforge.cronjob/deploy/mindforge-cronjob.yaml

@@ -22,16 +22,15 @@ spec:
                     secretKeyRef:
                       name: mindforge-secrets
                       key: GIT_REPOSITORY
-                - name: GEMINI_API_KEY
+                - name: OPENAI_TOKEN
                   valueFrom:
                     secretKeyRef:
                       name: mindforge-secrets
-                      key: GEMINI_API_KEY
-                - name: OPENAI_API_KEY
-                  valueFrom:
-                    secretKeyRef:
-                      name: mindforge-secrets
-                      key: OPENAI_API_KEY
+                      key: OPENAI_TOKEN
+                - name: OPENAI_API_URL
+                  value: https://openrouter.ai/api/v1
+                - name: OPENAI_MODEL
+                  value: openai/gpt-5.4-mini
                 - name: DISCORD_WEBHOOK_URL
                   valueFrom:
                     secretKeyRef:
@@ -42,14 +41,6 @@ spec:
                     secretKeyRef:
                       name: mindforge-secrets
                       key: HAVEN_NOTIFY_URL
-                - name: SUMMARY_CREATOR_PROVIDER
-                  value: gemini
-                - name: SUMMARY_FORMATTER_PROVIDER
-                  value: openai
-                - name: GEMINI_MODEL
-                  value: gemini-3-flash-preview
-                - name: OPENAI_MODEL
-                  value: gpt-5-mini
                 - name: TOP_N_FILES
                   value: "10"
                 - name: LAST_N_DAYS

mindforge.cronjob/internal/agent/agent.go

@@ -2,50 +2,11 @@ package agent
 
 import (
 	"fmt"
-	"os"
 	"path/filepath"
-	"strings"
 
 	"mindforge.cronjob/internal/llm"
 )
 
-// Provider represents the LLM provider to use.
-type Provider string
-
-const (
-	ProviderOpenAI Provider = "openai"
-	ProviderGemini Provider = "gemini"
-)
-
-// providerFromEnv reads the provider for a given agent from an env var,
-// defaulting to OpenAI if not set or unrecognised.
-func providerFromEnv(envKey string) Provider {
-	val := strings.ToLower(strings.TrimSpace(os.Getenv(envKey)))
-	if val == string(ProviderGemini) {
-		return ProviderGemini
-	}
-	return ProviderOpenAI
-}
-
-// send routes the request to the given LLM provider.
-func send(provider Provider, systemPrompt, userPrompt string) (string, error) {
-	llmService := llm.NewLLMService()
-	switch provider {
-	case ProviderGemini:
-		geminiModel := os.Getenv("GEMINI_MODEL")
-		if geminiModel == "" {
-			geminiModel = "gemini-3.1-flash-lite-preview"
-		}
-		return llmService.SendGeminiRequest(systemPrompt, userPrompt, geminiModel)
-	default:
-		openaiModel := os.Getenv("OPENAI_MODEL")
-		if openaiModel == "" {
-			openaiModel = "gpt-5-mini"
-		}
-		return llmService.SendOpenAIRequest(systemPrompt, userPrompt, openaiModel)
-	}
-}
-
 // SummaryCreatorAgent creates a summary of the git diff for a specific file.
 func SummaryCreatorAgent(filePath, gitDiff string) (string, error) {
 	fileName := filepath.Base(filePath)
@@ -66,7 +27,7 @@ Responda sempre em Português do Brasil (pt-BR).`
 
 	userPrompt := fmt.Sprintf("Caminho do arquivo: %s\nPasta (Assunto Principal): %s\nArquivo (Assunto Específico): %s\n\nGit Diff:\n%s", filePath, folderName, fileName, gitDiff)
 
-	return send(providerFromEnv("SUMMARY_CREATOR_PROVIDER"), systemPrompt, userPrompt)
+	return llm.NewLLMService().Send(systemPrompt, userPrompt)
 }
 
 // SummaryFormatterAgent formats a plain text summary into Markdown.
@@ -82,5 +43,5 @@ Regras de formatação:
 
 Responda sempre em Português do Brasil (pt-BR).`
 
-	return send(providerFromEnv("SUMMARY_FORMATTER_PROVIDER"), systemPrompt, summary)
+	return llm.NewLLMService().Send(systemPrompt, summary)
 }

mindforge.cronjob/internal/llm/gemini.go

@@ -1,86 +0,0 @@
-package llm
-
-import (
-	"bytes"
-	"encoding/json"
-	"errors"
-	"fmt"
-	"io"
-	"net/http"
-	"strings"
-	"time"
-)
-
-func (s *llmService) SendGeminiRequest(systemPrompt string, userPrompt string, model string) (string, error) {
-	apiKey := getEnvConfig("GEMINI_API_KEY")
-	if apiKey == "" {
-		return "", errors.New("GEMINI_API_KEY not found in .env or environment")
-	}
-
-	apiBase := "https://generativelanguage.googleapis.com/v1beta"
-
-	url := fmt.Sprintf("%s/models/%s:generateContent?key=%s", strings.TrimRight(apiBase, "/"), model, apiKey)
-
-	reqBody := map[string]interface{}{}
-	if systemPrompt != "" {
-		reqBody["system_instruction"] = map[string]interface{}{
-			"parts": []map[string]string{
-				{"text": systemPrompt},
-			},
-		}
-	}
-	reqBody["contents"] = []map[string]interface{}{
-		{
-			"role": "user",
-			"parts": []map[string]string{
-				{"text": userPrompt},
-			},
-		},
-	}
-
-	jsonBody, err := json.Marshal(reqBody)
-	if err != nil {
-		return "", err
-	}
-
-	req, err := http.NewRequest("POST", url, bytes.NewBuffer(jsonBody))
-	if err != nil {
-		return "", err
-	}
-	req.Header.Set("Content-Type", "application/json")
-
-	client := &http.Client{Timeout: 120 * time.Second}
-	resp, err := client.Do(req)
-	if err != nil {
-		return "", err
-	}
-	defer resp.Body.Close()
-
-	bodyBytes, err := io.ReadAll(resp.Body)
-	if err != nil {
-		return "", err
-	}
-
-	if resp.StatusCode != http.StatusOK {
-		return "", fmt.Errorf("Gemini API error status %d: %s", resp.StatusCode, string(bodyBytes))
-	}
-
-	var result struct {
-		Candidates []struct {
-			Content struct {
-				Parts []struct {
-					Text string `json:"text"`
-				} `json:"parts"`
-			} `json:"content"`
-		} `json:"candidates"`
-	}
-	if err := json.Unmarshal(bodyBytes, &result); err != nil {
-		return "", err
-	}
-
-	if len(result.Candidates) > 0 && len(result.Candidates[0].Content.Parts) > 0 {
-		return result.Candidates[0].Content.Parts[0].Text, nil
-	}
-
-	return "", errors.New("empty response from Gemini API")
-}

mindforge.cronjob/internal/llm/llm.go

@@ -6,8 +6,7 @@ import (
 
 // Service defines the interface for connecting to LLMs
 type Service interface {
-	SendOpenAIRequest(systemPrompt string, userPrompt string, model string) (string, error)
-	SendGeminiRequest(systemPrompt string, userPrompt string, model string) (string, error)
+	Send(systemPrompt string, userPrompt string) (string, error)
 }
 
 type llmService struct{}

mindforge.cronjob/internal/llm/openai.go

@@ -11,15 +11,23 @@ import (
 	"time"
 )
 
-func (s *llmService) SendOpenAIRequest(systemPrompt string, userPrompt string, model string) (string, error) {
-	apiKey := getEnvConfig("OPENAI_API_KEY")
-	if apiKey == "" {
-		return "", errors.New("OPENAI_API_KEY not found in .env or environment")
+func (s *llmService) Send(systemPrompt string, userPrompt string) (string, error) {
+	apiURL := getEnvConfig("OPENAI_API_URL")
+	if apiURL == "" {
+		return "", errors.New("OPENAI_API_URL not found in environment")
 	}
 
-	apiBase := "https://api.openai.com/v1"
+	token := getEnvConfig("OPENAI_TOKEN")
+	if token == "" {
+		return "", errors.New("OPENAI_TOKEN not found in environment")
+	}
 
-	url := fmt.Sprintf("%s/chat/completions", strings.TrimRight(apiBase, "/"))
+	model := getEnvConfig("OPENAI_MODEL")
+	if model == "" {
+		return "", errors.New("OPENAI_MODEL not found in environment")
+	}
+
+	url := fmt.Sprintf("%s/chat/completions", strings.TrimRight(apiURL, "/"))
 
 	reqBody := map[string]interface{}{
 		"model": model,
@@ -42,7 +50,7 @@ func (s *llmService) SendOpenAIRequest(systemPrompt string, userPrompt string, m
 			return "", err
 		}
 		req.Header.Set("Content-Type", "application/json")
-		req.Header.Set("Authorization", "Bearer "+apiKey)
+		req.Header.Set("Authorization", "Bearer "+token)
 
 		client := &http.Client{Timeout: 120 * time.Second}
 		resp, err := client.Do(req)
@@ -62,7 +70,7 @@ func (s *llmService) SendOpenAIRequest(systemPrompt string, userPrompt string, m
 		}
 
 		if resp.StatusCode != http.StatusOK {
-			lastErr = fmt.Errorf("OpenAI API error status %d: %s", resp.StatusCode, string(bodyBytes))
+			lastErr = fmt.Errorf("API error status %d: %s", resp.StatusCode, string(bodyBytes))
 			time.Sleep(time.Second * time.Duration(1<<i))
 			continue
 		}
@@ -81,8 +89,8 @@ func (s *llmService) SendOpenAIRequest(systemPrompt string, userPrompt string, m
 		if len(result.Choices) > 0 {
 			return result.Choices[0].Message.Content, nil
 		}
-		return "", errors.New("empty response from OpenAI API")
+		return "", errors.New("empty response from API")
 	}
 
-	return "", fmt.Errorf("failed to get OpenAI response after 5 attempts. Last error: %v", lastErr)
+	return "", fmt.Errorf("failed to get response after 5 attempts. Last error: %v", lastErr)
 }