From e47c019ab1752496feb84859f57408ae253acdf1 Mon Sep 17 00:00:00 2001
From: leninner <mazabandalenin180@gmail.com>
Date: Sun, 30 Nov 2025 21:28:14 -0500
Subject: [PATCH 1/5] feat: add subs

---
 bun.lockb                                     | Bin 0 -> 262898 bytes
 package.json                                  |   1 +
 .../adapters/openrouter-llm.adapter.ts        | 147 ++++++++++++++++++
 .../controllers/voice-command.controller.ts   |   5 +-
 4 files changed, 151 insertions(+), 2 deletions(-)
 create mode 100755 bun.lockb
 create mode 100644 src/features/ai-agents/infrastructure/adapters/openrouter-llm.adapter.ts

diff --git a/bun.lockb b/bun.lockb
new file mode 100755
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GIT binary patch
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literal 0
HcmV?d00001

diff --git a/package.json b/package.json
index ecdf1b8..456ee08 100644
--- a/package.json
+++ b/package.json
@@ -16,6 +16,7 @@
 		"@getbrevo/brevo": "^2.2.0",
 		"@hono/zod-openapi": "^0.18.3",
 		"@langchain/core": "^0.3.77",
+		"@openrouter/sdk": "^0.1.27",
 		"@scalar/hono-api-reference": "^0.5.162",
 		"@types/json2csv": "^5.0.7",
 		"@types/uuid": "^10.0.0",
diff --git a/src/features/ai-agents/infrastructure/adapters/openrouter-llm.adapter.ts b/src/features/ai-agents/infrastructure/adapters/openrouter-llm.adapter.ts
new file mode 100644
index 0000000..5441774
--- /dev/null
+++ b/src/features/ai-agents/infrastructure/adapters/openrouter-llm.adapter.ts
@@ -0,0 +1,147 @@
+import { ILLMService } from "../../domain/ports/transcription.port";
+
+export class OpenRouterLLMAdapter implements ILLMService {
+  private apiKey: string;
+  private apiUrl = 'https://openrouter.ai/api/v1/chat/completions';
+
+  constructor(apiKey: string) {
+    this.apiKey = apiKey;
+  }
+
+  async classifyIntent(transcription: string): Promise<{ intent: string; confidence: number }> {
+    const prompt = `
+Analiza el siguiente texto y determina la intención del usuario. Las opciones son:
+- CREATE_TRANSACTION: Para crear gastos o ingresos
+- CREATE_GOAL: Para crear metas de ahorro
+- CREATE_BUDGET: Para crear presupuestos
+- UNKNOWN: Si no es claro
+
+Texto: "${transcription}"
+
+Responde SOLO con un JSON en este formato:
+{"intent": "CREATE_TRANSACTION", "confidence": 0.95}
+`;
+
+    try {
+      const response = await this.callOpenRouter(prompt);
+      const result = JSON.parse(response);
+      return {
+        intent: result.intent || 'UNKNOWN',
+        confidence: result.confidence || 0.5
+      };
+    } catch (error) {
+      console.error('Error classifying intent:', error);
+      return { intent: 'UNKNOWN', confidence: 0 };
+    }
+  }
+
+  async extractData(transcription: string, intent: string): Promise<{ data: Record<string, any>; confidence: number }> {
+    let prompt = 'category_id=1,comida;2,viajes;3,education;4,otro\n';
+
+    switch (intent) {
+      case 'CREATE_TRANSACTION':
+        prompt = `
+Extrae los datos de transacción del siguiente texto:
+"${transcription}"
+
+Responde SOLO con un JSON con estos campos:
+{
+  "amount": número,
+  "type": "INCOME" o "EXPENSE",
+  "description": "descripción",
+  "category_id": "nombre de categoría si se menciona",
+  "payment_method": "método de pago si se menciona",
+  "confidence": 0.0-1.0
+}
+`;
+        break;
+
+      case 'CREATE_GOAL':
+        prompt = `
+Extrae los datos de meta de ahorro del siguiente texto:
+"${transcription}"
+
+Responde SOLO con un JSON con estos campos:
+{
+  "name": "nombre de la meta",
+  "target_amount": número,
+  "end_date": "fecha en formato ISO si se menciona",
+  "contribution_amount": número si se menciona,
+  "confidence": 0.0-1.0
+}
+`;
+        break;
+
+      case 'CREATE_BUDGET':
+        prompt = `
+Extrae los datos de presupuesto del siguiente texto:
+"${transcription}"
+
+Responde SOLO con un JSON con estos campos:
+{
+  "limit_amount": número,
+  "category": "nombre de categoría",
+  "month": "mes/año si se menciona",
+  "confidence": 0.0-1.0,
+  "category_id": id de la categoria segun corresponda
+}
+`;
+        break;
+
+      default:
+        return { data: {}, confidence: 0 };
+    }
+
+    try {
+      const response = await this.callOpenRouter(prompt);
+      const result = JSON.parse(response);
+      const confidence = result.confidence || 0.8;
+      delete result.confidence;
+      
+      return {
+        data: result,
+        confidence
+      };
+    } catch (error) {
+      console.error('Error extracting data:', error);
+      return { data: {}, confidence: 0 };
+    }
+  }
+
+  private async callOpenRouter(prompt: string): Promise<string> {
+    const systemPrompt = 'Eres un asistente especializado en finanzas personales. Responde siempre con JSON válido.';
+    
+    const response = await fetch(this.apiUrl, {
+      method: 'POST',
+      headers: {
+        'Authorization': `Bearer ${this.apiKey}`,
+        'Content-Type': 'application/json',
+        'HTTP-Referer': 'https://foppy.app', // Optional: your app URL
+        'X-Title': 'Foppy Finance Assistant', // Optional: your app name
+      },
+      body: JSON.stringify({
+        model: 'x-ai/grok-4.1-fast:free', // Free Grok model from X.AI
+        messages: [
+          {
+            role: 'system',
+            content: systemPrompt
+          },
+          {
+            role: 'user',
+            content: prompt
+          }
+        ],
+        temperature: 0.3,
+        max_tokens: 400
+      }),
+    });
+
+    if (!response.ok) {
+      const errorText = await response.text();
+      throw new Error(`OpenRouter API error: ${response.status} ${response.statusText} - ${errorText}`);
+    }
+
+    const result = await response.json();
+    return result.choices[0]?.message?.content?.trim() || '{}';
+  }
+}
diff --git a/src/features/ai-agents/infrastructure/controllers/voice-command.controller.ts b/src/features/ai-agents/infrastructure/controllers/voice-command.controller.ts
index 97b6eb1..2a9a168 100644
--- a/src/features/ai-agents/infrastructure/controllers/voice-command.controller.ts
+++ b/src/features/ai-agents/infrastructure/controllers/voice-command.controller.ts
@@ -6,15 +6,16 @@ import { GoalAgentService } from "../../application/services/goal-agent.service"
 import { BudgetAgentService } from "../../application/services/budget-agent.service";
 import { ValidationAgentService } from "../../application/services/validation-agent.service";
 import { OpenAITranscriptionAdapter } from "../adapters/openai-transcription.adapter";
-import { OpenAILLMAdapter } from "../adapters/openai-llm.adapter";
+import { OpenRouterLLMAdapter } from "../adapters/openrouter-llm.adapter";
 import { verifyToken } from "@/shared/utils/jwt.util";
 
 const app = new Hono();
 
 const OPENAI_API_KEY = process.env.OPENAI_API_KEY || '';
+const OPENROUTER_API_KEY = process.env.OPENROUTER_API_KEY || '';
 
 const transcriptionService = new OpenAITranscriptionAdapter(OPENAI_API_KEY);
-const llmService = new OpenAILLMAdapter(OPENAI_API_KEY);
+const llmService = new OpenRouterLLMAdapter(OPENROUTER_API_KEY);
 const transactionAgent = new TransactionAgentService();
 const goalAgent = new GoalAgentService();
 const budgetAgent = new BudgetAgentService();

From 5a8fc826e0767b6c205db74e6a83580fde959da4 Mon Sep 17 00:00:00 2001
From: leninner <mazabandalenin180@gmail.com>
Date: Sun, 30 Nov 2025 21:41:01 -0500
Subject: [PATCH 2/5] chore: update drizzle config

---
 drizzle.config.ts | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/drizzle.config.ts b/drizzle.config.ts
index b62f4f7..0147787 100644
--- a/drizzle.config.ts
+++ b/drizzle.config.ts
@@ -35,7 +35,7 @@ if (process.env.DATABASE_URL) {
 
 const isTestEnv = process.env.NODE_ENV === "test";
 const connectionString =
-  (isTestEnv && process.env.TEST_DATABASE_URL) || env.DATABASE_URL;
+  (isTestEnv && process.env.TEST_DATABASE_URL) || process.env.DATABASE_URL;
 
 if (isTestEnv && !process.env.TEST_DATABASE_URL) {
   console.warn(

From 819fb9c990233573a10c3e32e812299058f81f22 Mon Sep 17 00:00:00 2001
From: leninner <mazabandalenin180@gmail.com>
Date: Sun, 30 Nov 2025 21:51:31 -0500
Subject: [PATCH 3/5] chore: update

---
 src/core/infrastructure/scripts/plans.seed.ts | 2 --
 1 file changed, 2 deletions(-)

diff --git a/src/core/infrastructure/scripts/plans.seed.ts b/src/core/infrastructure/scripts/plans.seed.ts
index 8eb560f..87b8302 100644
--- a/src/core/infrastructure/scripts/plans.seed.ts
+++ b/src/core/infrastructure/scripts/plans.seed.ts
@@ -33,7 +33,6 @@ async function seedPlans() {
           "Entrada de voz",
           "Acceso ilimitado a IA",
           "Soporte básico",
-          "Acceso a la app móvil",
           "Informes exportables"
         ]
       },
@@ -47,7 +46,6 @@ async function seedPlans() {
           "Entrada de voz",
           "Acceso ilimitado a IA",
           "Soporte básico",
-          "Acceso a la app móvil",
           "Informes exportables"
         ]
       },

From 6285c9e6d32658497e969f0bcee85ca9a895e9dc Mon Sep 17 00:00:00 2001
From: leninner <mazabandalenin180@gmail.com>
Date: Sun, 30 Nov 2025 22:03:07 -0500
Subject: [PATCH 4/5] chore: update

---
 .../controllers/voice-command.controller.ts   | 90 +++++++++----------
 1 file changed, 45 insertions(+), 45 deletions(-)

diff --git a/src/features/ai-agents/infrastructure/controllers/voice-command.controller.ts b/src/features/ai-agents/infrastructure/controllers/voice-command.controller.ts
index 2a9a168..ea3e9ac 100644
--- a/src/features/ai-agents/infrastructure/controllers/voice-command.controller.ts
+++ b/src/features/ai-agents/infrastructure/controllers/voice-command.controller.ts
@@ -53,52 +53,52 @@ app.post("/voice-command", async (c) => {
       }, 401);
     }
 
-  return c.json({
-    "success": true,
-    "intent": "CREATE_GOAL",
-    "extractedData": {
-        "user_id": 1,
-        "name": "meta de ahorro para comida",
-        "target_amount": 600,
-        "current_amount": 0,
-        "end_date": "2026-10-09T21:58:33.460Z",
-        "category_id": null,
-        "contribution_frequency": null,
-        "contribution_amount": null
-    },
-    "confidence": 0.95,
-    "message": "He identificado una meta de ahorro: \"meta de ahorro para comida\" con objetivo de $600"
-});
+//   return c.json({
+//     "success": true,
+//     "intent": "CREATE_GOAL",
+//     "extractedData": {
+//         "user_id": 1,
+//         "name": "meta de ahorro para comida",
+//         "target_amount": 600,
+//         "current_amount": 0,
+//         "end_date": "2026-10-09T21:58:33.460Z",
+//         "category_id": null,
+//         "contribution_frequency": null,
+//         "contribution_amount": null
+//     },
+//     "confidence": 0.95,
+//     "message": "He identificado una meta de ahorro: \"meta de ahorro para comida\" con objetivo de $600"
+// });
+
+    const user = payload as { id: number; email: string };
+    const body = await c.req?.formData();
+    const audioFile = body?.get("audio") as File;
+
+    if (!audioFile) {
+      return c.json({
+        success: false,
+        message: "No se recibió archivo de audio"
+      }, 400);
+    }
 
-    // const user = payload as { id: number; email: string };
-    // const body = await c.req?.formData();
-    // const audioFile = body?.get("audio") as File;
-
-    // if (!audioFile) {
-    //   return c.json({
-    //     success: false,
-    //     message: "No se recibió archivo de audio"
-    //   }, 400);
-    // }
-
-    // const audioBlob = new Blob([await audioFile.arrayBuffer()], { 
-    //   type: audioFile.type || 'audio/wav' 
-    // });
-
-    // const result = await processVoiceCommandUseCase.execute({
-    //   audioBlob,
-    //   userId: user.id
-    // });
-
-    // return c.json({
-    //   success: result.success,
-    //   intent: result.intent,
-    //   extractedData: result.extractedData,
-    //   confidence: result.confidence,
-    //   message: result.message,
-    //   validationErrors: result.validationErrors,
-    //   suggestedCorrections: result.suggestedCorrections
-    // });
+    const audioBlob = new Blob([await audioFile.arrayBuffer()], { 
+      type: audioFile.type || 'audio/wav' 
+    });
+
+    const result = await processVoiceCommandUseCase.execute({
+      audioBlob,
+      userId: user.id
+    });
+
+    return c.json({
+      success: result.success,
+      intent: result.intent,
+      extractedData: result.extractedData,
+      confidence: result.confidence,
+      message: result.message,
+      validationErrors: result.validationErrors,
+      suggestedCorrections: result.suggestedCorrections
+    });
 
   } catch (error) {
     console.error("Error processing voice command:", error);

From 7ec74c2b879b16d736dfdceb7eb1fabe0e6886c5 Mon Sep 17 00:00:00 2001
From: devjaes <merajair17@gmail.com>
Date: Sun, 30 Nov 2025 23:23:45 -0500
Subject: [PATCH 5/5] refactor: enhance recommendation services and logging

- Updated daily recommendations job schedule for testing purposes.
- Improved logging in various services (BudgetSuggestion, DebtReminder, GoalOptimization, SpendingAnalysis) to provide better insights into user activities and system behavior.
- Added duplicate recommendation checks in RecommendationOrchestratorService to prevent redundant entries.
- Adjusted OpenAI model usage across services for consistency and performance.
- Enhanced repository methods to include status checks for recommendations.
---
 .../cron/daily-recommendations.cron.ts        |  3 +-
 .../adapters/openai-llm.adapter.ts            | 53 +++++++------
 .../services/budget-suggestion.service.ts     | 57 ++++++++++----
 .../services/debt-reminder.service.ts         | 70 ++++++++++++++---
 .../services/goal-optimization.service.ts     | 75 ++++++++++++++++---
 .../recommendation-orchestrator.service.ts    | 60 ++++++++++++++-
 .../services/spending-analysis.service.ts     | 49 +++++++++---
 .../adapters/pg-recommendation.repository.ts  |  9 ++-
 .../infrastructure/clients/openai.client.ts   |  2 +-
 9 files changed, 299 insertions(+), 79 deletions(-)

diff --git a/src/core/infrastructure/cron/daily-recommendations.cron.ts b/src/core/infrastructure/cron/daily-recommendations.cron.ts
index 4011ae9..56a9e54 100644
--- a/src/core/infrastructure/cron/daily-recommendations.cron.ts
+++ b/src/core/infrastructure/cron/daily-recommendations.cron.ts
@@ -11,7 +11,8 @@ const orchestrator = RecommendationOrchestratorService.getInstance(
 );
 
 const dailyRecommendationsJob = new cron.CronJob(
-  "0 6 * * *",
+  // "0 6 * * *",
+  "*/5 * * * *", // TODO: Change back to "0 6 * * *" for production (runs every 5 minutes for testing)
   async () => {
     console.log("Running daily recommendations job...");
 
diff --git a/src/features/ai-agents/infrastructure/adapters/openai-llm.adapter.ts b/src/features/ai-agents/infrastructure/adapters/openai-llm.adapter.ts
index 0b74053..aa028a5 100644
--- a/src/features/ai-agents/infrastructure/adapters/openai-llm.adapter.ts
+++ b/src/features/ai-agents/infrastructure/adapters/openai-llm.adapter.ts
@@ -2,13 +2,15 @@ import { ILLMService } from "../../domain/ports/transcription.port";
 
 export class OpenAILLMAdapter implements ILLMService {
   private apiKey: string;
-  private apiUrl = 'https://api.openai.com/v1/completions';
+  private apiUrl = "https://api.openai.com/v1/completions";
 
   constructor(apiKey: string) {
     this.apiKey = apiKey;
   }
 
-  async classifyIntent(transcription: string): Promise<{ intent: string; confidence: number }> {
+  async classifyIntent(
+    transcription: string
+  ): Promise<{ intent: string; confidence: number }> {
     const prompt = `
 Analiza el siguiente texto y determina la intención del usuario. Las opciones son:
 - CREATE_TRANSACTION: Para crear gastos o ingresos
@@ -26,20 +28,23 @@ Responde SOLO con un JSON en este formato:
       const response = await this.callOpenAI(prompt);
       const result = JSON.parse(response);
       return {
-        intent: result.intent || 'UNKNOWN',
-        confidence: result.confidence || 0.5
+        intent: result.intent || "UNKNOWN",
+        confidence: result.confidence || 0.5,
       };
     } catch (error) {
-      console.error('Error classifying intent:', error);
-      return { intent: 'UNKNOWN', confidence: 0 };
+      console.error("Error classifying intent:", error);
+      return { intent: "UNKNOWN", confidence: 0 };
     }
   }
 
-  async extractData(transcription: string, intent: string): Promise<{ data: Record<string, any>; confidence: number }> {
-    let prompt = 'category_id=1,comida;2,viajes;3,education;4,otro\n';
+  async extractData(
+    transcription: string,
+    intent: string
+  ): Promise<{ data: Record<string, any>; confidence: number }> {
+    let prompt = "category_id=1,comida;2,viajes;3,education;4,otro\n";
 
     switch (intent) {
-      case 'CREATE_TRANSACTION':
+      case "CREATE_TRANSACTION":
         prompt = `
 Extrae los datos de transacción del siguiente texto:
 "${transcription}"
@@ -56,7 +61,7 @@ Responde SOLO con un JSON con estos campos:
 `;
         break;
 
-      case 'CREATE_GOAL':
+      case "CREATE_GOAL":
         prompt = `
 Extrae los datos de meta de ahorro del siguiente texto:
 "${transcription}"
@@ -72,7 +77,7 @@ Responde SOLO con un JSON con estos campos:
 `;
         break;
 
-      case 'CREATE_BUDGET':
+      case "CREATE_BUDGET":
         prompt = `
 Extrae los datos de presupuesto del siguiente texto:
 "${transcription}"
@@ -97,39 +102,41 @@ Responde SOLO con un JSON con estos campos:
       const result = JSON.parse(response);
       const confidence = result.confidence || 0.8;
       delete result.confidence;
-      
+
       return {
         data: result,
-        confidence
+        confidence,
       };
     } catch (error) {
-      console.error('Error extracting data:', error);
+      console.error("Error extracting data:", error);
       return { data: {}, confidence: 0 };
     }
   }
 
   private async callOpenAI(prompt: string): Promise<string> {
     const fullPrompt = `Eres un asistente especializado en finanzas personales. Responde siempre con JSON válido.\n\n${prompt}`;
-    
+
     const response = await fetch(this.apiUrl, {
-      method: 'POST',
+      method: "POST",
       headers: {
-        'Authorization': `Bearer ${this.apiKey}`,
-        'Content-Type': 'application/json',
+        Authorization: `Bearer ${this.apiKey}`,
+        "Content-Type": "application/json",
       },
       body: JSON.stringify({
-        model: 'gpt-3.5-turbo-instruct',
+        model: "gpt-4.1-nano",
         prompt: fullPrompt,
         temperature: 0.3,
-        max_tokens: 400
+        max_tokens: 400,
       }),
     });
 
     if (!response.ok) {
-      throw new Error(`OpenAI API error: ${response.status} ${response.statusText}`);
+      throw new Error(
+        `OpenAI API error: ${response.status} ${response.statusText}`
+      );
     }
 
     const result = await response.json();
-    return result.choices[0]?.text?.trim() || '{}';
+    return result.choices[0]?.text?.trim() || "{}";
   }
-} 
\ No newline at end of file
+}
diff --git a/src/features/recommendations/application/services/budget-suggestion.service.ts b/src/features/recommendations/application/services/budget-suggestion.service.ts
index edb0384..67e786b 100644
--- a/src/features/recommendations/application/services/budget-suggestion.service.ts
+++ b/src/features/recommendations/application/services/budget-suggestion.service.ts
@@ -108,6 +108,10 @@ export class BudgetSuggestionService implements IAnalysisService {
         new Date(this.getCurrentMonthString())
       );
 
+    console.log(
+      `[BudgetSuggestion] User ${userId}: Found ${recentExpenses.length} expenses in last 3 months, ${currentMonthBudgets.length} budgets this month`
+    );
+
     const budgetedCategoryIds = new Set(
       currentMonthBudgets.map((b) => b.categoryId).filter((id) => id !== null)
     );
@@ -146,6 +150,9 @@ export class BudgetSuggestionService implements IAnalysisService {
     }
 
     if (categoriesNeedingBudget.length === 0) {
+      console.log(
+        `[BudgetSuggestion] User ${userId}: No categories needing budget (all categories either have budgets or spend <$${this.MIN_AVERAGE_SPENDING}/month)`
+      );
       return null;
     }
 
@@ -153,12 +160,24 @@ export class BudgetSuggestionService implements IAnalysisService {
       (a, b) => b.averageMonthlySpending - a.averageMonthlySpending
     );
 
+    console.log(
+      `[BudgetSuggestion] User ${userId}: Category "${categoriesNeedingBudget[0].categoryName}" needs budget (avg: $${categoriesNeedingBudget[0].averageMonthlySpending}/month)`
+    );
+
     return categoriesNeedingBudget[0];
   }
 
   private async getAISuggestion(
     category: CategoryWithoutBudget
   ): Promise<{ suggestedBudget: number; reasoning: string }> {
+    // Use fallback logic if no API key is configured
+    if (!this.OPENAI_API_KEY || this.OPENAI_API_KEY === "") {
+      console.log(
+        "OpenAI API key not configured, using fallback logic for budget suggestion"
+      );
+      return this.getFallbackSuggestion(category);
+    }
+
     const prompt = `El usuario gasta en promedio $${category.averageMonthlySpending.toFixed(
       2
     )}/mes en "${
@@ -188,7 +207,7 @@ Responde SOLO con un JSON válido en este formato:
             "Content-Type": "application/json",
           },
           body: JSON.stringify({
-            model: "gpt-4",
+            model: "gpt-4.1-nano",
             messages: [
               {
                 role: "system",
@@ -208,6 +227,8 @@ Responde SOLO con un JSON válido en este formato:
       );
 
       if (!response.ok) {
+        const errorBody = await response.text();
+        console.error(`OpenAI API error: ${response.status} - ${errorBody}`);
         throw new Error(`OpenAI API error: ${response.status}`);
       }
 
@@ -220,23 +241,29 @@ Responde SOLO con un JSON válido en este formato:
 
       return JSON.parse(content);
     } catch (error) {
-      console.error("Error calling OpenAI API:", error);
-
-      const suggestedBudget = Math.ceil(category.averageMonthlySpending * 1.15);
-
-      return {
-        suggestedBudget,
-        reasoning: `Basado en tu gasto promedio de $${category.averageMonthlySpending.toFixed(
-          2
-        )}, te sugerimos un presupuesto de $${suggestedBudget.toFixed(
-          2
-        )} mensual que incluye un 15% de flexibilidad para imprevistos en ${
-          category.categoryName
-        }.`,
-      };
+      console.error("Error calling OpenAI API, using fallback:", error);
+      return this.getFallbackSuggestion(category);
     }
   }
 
+  private getFallbackSuggestion(category: CategoryWithoutBudget): {
+    suggestedBudget: number;
+    reasoning: string;
+  } {
+    const suggestedBudget = Math.ceil(category.averageMonthlySpending * 1.15);
+
+    return {
+      suggestedBudget,
+      reasoning: `Basado en tu gasto promedio de $${category.averageMonthlySpending.toFixed(
+        2
+      )}, te sugerimos un presupuesto de $${suggestedBudget.toFixed(
+        2
+      )} mensual que incluye un 15% de flexibilidad para imprevistos en ${
+        category.categoryName
+      }.`,
+    };
+  }
+
   private calculatePriority(averageSpending: number): RecommendationPriority {
     if (averageSpending >= 500) {
       return RecommendationPriority.HIGH;
diff --git a/src/features/recommendations/application/services/debt-reminder.service.ts b/src/features/recommendations/application/services/debt-reminder.service.ts
index c8e099d..71ba9c8 100644
--- a/src/features/recommendations/application/services/debt-reminder.service.ts
+++ b/src/features/recommendations/application/services/debt-reminder.service.ts
@@ -94,6 +94,7 @@ export class DebtReminderService implements IAnalysisService {
     );
 
     if (activeDebts.length === 0) {
+      console.log(`[DebtReminder] User ${userId}: No active debts found`);
       return null;
     }
 
@@ -106,12 +107,18 @@ export class DebtReminderService implements IAnalysisService {
     });
 
     if (upcomingDebts.length === 0) {
+      console.log(
+        `[DebtReminder] User ${userId}: No debts due within ${this.DAYS_AHEAD_THRESHOLD} days`
+      );
       return null;
     }
 
     const availableBalance = await this.calculateAvailableBalance(userId);
 
     if (availableBalance <= 0) {
+      console.log(
+        `[DebtReminder] User ${userId}: No available balance to pay debts`
+      );
       return null;
     }
 
@@ -126,10 +133,7 @@ export class DebtReminderService implements IAnalysisService {
 
       const suggestedPayment = canPayFull
         ? debt.pendingAmount
-        : Math.min(
-            Math.floor(availableBalance * 0.5),
-            debt.pendingAmount
-          );
+        : Math.min(Math.floor(availableBalance * 0.5), debt.pendingAmount);
 
       if (suggestedPayment > 0) {
         opportunities.push({
@@ -143,11 +147,18 @@ export class DebtReminderService implements IAnalysisService {
     }
 
     if (opportunities.length === 0) {
+      console.log(
+        `[DebtReminder] User ${userId}: No suitable payment opportunities found`
+      );
       return null;
     }
 
     opportunities.sort((a, b) => a.daysUntilDue - b.daysUntilDue);
 
+    console.log(
+      `[DebtReminder] User ${userId}: Found payment opportunity for "${opportunities[0].debt.description}" (due in ${opportunities[0].daysUntilDue} days)`
+    );
+
     return opportunities[0];
   }
 
@@ -166,7 +177,13 @@ export class DebtReminderService implements IAnalysisService {
   private async getAISuggestion(
     opportunity: DebtOpportunity
   ): Promise<{ suggestedPayment: number; reasoning: string }> {
-    const prompt = `El usuario tiene disponible $${opportunity.availableBalance.toFixed(2)} este mes. La deuda "${opportunity.debt.description}" de $${opportunity.debt.pendingAmount.toFixed(2)} vence en ${opportunity.daysUntilDue} días.
+    const prompt = `El usuario tiene disponible $${opportunity.availableBalance.toFixed(
+      2
+    )} este mes. La deuda "${
+      opportunity.debt.description
+    }" de $${opportunity.debt.pendingAmount.toFixed(2)} vence en ${
+      opportunity.daysUntilDue
+    } días.
 
 ${
   opportunity.canPayFull
@@ -178,7 +195,11 @@ Sugiere cuánto debería pagar ahora considerando:
 1. El monto disponible
 2. Los días restantes hasta el vencimiento
 3. Mantener un colchón de emergencia (no usar todo el balance disponible)
-4. ${opportunity.canPayFull ? "Beneficios de liquidar la deuda completa" : "Reducir el saldo pendiente para evitar intereses"}
+4. ${
+      opportunity.canPayFull
+        ? "Beneficios de liquidar la deuda completa"
+        : "Reducir el saldo pendiente para evitar intereses"
+    }
 
 Proporciona un razonamiento motivador (2-3 oraciones) sobre por qué es importante hacer este pago ahora.
 
@@ -188,6 +209,29 @@ Responde SOLO con un JSON válido en este formato:
   "reasoning": "explicación breve y motivadora"
 }`;
 
+    // Use fallback logic if no API key is configured
+    if (!this.OPENAI_API_KEY || this.OPENAI_API_KEY === "") {
+      console.log("OpenAI API key not configured, using fallback logic");
+      const suggestedPayment = opportunity.canPayFull
+        ? opportunity.debt.pendingAmount
+        : Math.floor(opportunity.availableBalance * 0.4);
+
+      return {
+        suggestedPayment,
+        reasoning: opportunity.canPayFull
+          ? `Tienes suficiente saldo para liquidar esta deuda de $${opportunity.debt.pendingAmount.toFixed(
+              2
+            )}. Pagarla ahora te liberará de esta obligación y evitará posibles cargos por intereses.`
+          : `Tienes disponible $${opportunity.availableBalance.toFixed(
+              2
+            )}. Considera hacer un pago de $${suggestedPayment.toFixed(
+              2
+            )} para reducir tu deuda de $${opportunity.debt.pendingAmount.toFixed(
+              2
+            )} que vence en ${opportunity.daysUntilDue} días.`,
+      };
+    }
+
     try {
       const response = await fetch(
         "https://api.openai.com/v1/chat/completions",
@@ -198,7 +242,7 @@ Responde SOLO con un JSON válido en este formato:
             "Content-Type": "application/json",
           },
           body: JSON.stringify({
-            model: "gpt-4",
+            model: "gpt-3.5-turbo",
             messages: [
               {
                 role: "system",
@@ -218,6 +262,8 @@ Responde SOLO con un JSON válido en este formato:
       );
 
       if (!response.ok) {
+        const errorBody = await response.text();
+        console.error(`OpenAI API error: ${response.status} - ${errorBody}`);
         throw new Error(`OpenAI API error: ${response.status}`);
       }
 
@@ -230,7 +276,7 @@ Responde SOLO con un JSON válido en este formato:
 
       return JSON.parse(content);
     } catch (error) {
-      console.error("Error calling OpenAI API:", error);
+      console.error("Error calling OpenAI API, using fallback:", error);
 
       const suggestedPayment = opportunity.canPayFull
         ? opportunity.debt.pendingAmount
@@ -239,8 +285,12 @@ Responde SOLO con un JSON válido en este formato:
       return {
         suggestedPayment,
         reasoning: opportunity.canPayFull
-          ? `Tienes suficiente saldo para liquidar esta deuda de $${opportunity.debt.pendingAmount.toFixed(2)}. Pagarla ahora te liberará de esta obligación y evitará posibles cargos por intereses.`
-          : `Con tu saldo actual, puedes hacer un pago de $${suggestedPayment.toFixed(2)} que reducirá significativamente tu deuda. Esto te acercará a liquidarla y minimizará los intereses acumulados.`,
+          ? `Tienes suficiente saldo para liquidar esta deuda de $${opportunity.debt.pendingAmount.toFixed(
+              2
+            )}. Pagarla ahora te liberará de esta obligación y evitará posibles cargos por intereses.`
+          : `Con tu saldo actual, puedes hacer un pago de $${suggestedPayment.toFixed(
+              2
+            )} que reducirá significativamente tu deuda. Esto te acercará a liquidarla y minimizará los intereses acumulados.`,
       };
     }
   }
diff --git a/src/features/recommendations/application/services/goal-optimization.service.ts b/src/features/recommendations/application/services/goal-optimization.service.ts
index 9ed0f4c..4955337 100644
--- a/src/features/recommendations/application/services/goal-optimization.service.ts
+++ b/src/features/recommendations/application/services/goal-optimization.service.ts
@@ -104,9 +104,14 @@ export class GoalOptimizationService implements IAnalysisService {
     );
 
     if (userGoals.length === 0) {
+      console.log(`[GoalOptimization] User ${userId}: No active goals found`);
       return null;
     }
 
+    console.log(
+      `[GoalOptimization] User ${userId}: Analyzing ${userGoals.length} active goal(s)`
+    );
+
     const goalAnalyses: GoalAnalysis[] = [];
 
     for (const goal of userGoals) {
@@ -160,20 +165,41 @@ export class GoalOptimizationService implements IAnalysisService {
     }
 
     if (goalAnalyses.length === 0) {
+      console.log(
+        `[GoalOptimization] User ${userId}: No unrealistic goals found (all goals have realismRatio <= ${this.UNREALISTIC_THRESHOLD})`
+      );
       return null;
     }
 
     goalAnalyses.sort((a, b) => b.realismRatio - a.realismRatio);
 
+    console.log(
+      `[GoalOptimization] User ${userId}: Found unrealistic goal "${
+        goalAnalyses[0].goal.name
+      }" (realismRatio: ${goalAnalyses[0].realismRatio.toFixed(2)})`
+    );
+
     return goalAnalyses[0];
   }
 
-  private async getAISuggestion(
-    analysis: GoalAnalysis
-  ): Promise<{ suggestion: "extend" | "reduce"; newValue: number; reasoning: string }> {
-    const prompt = `La meta "${analysis.goal.name}" del usuario requiere ahorrar $${analysis.dailyRequiredContribution.toFixed(2)}/día durante los próximos ${analysis.daysRemaining} días para alcanzar $${analysis.amountRemaining.toFixed(2)} faltantes.
-
-Su contribución promedio histórica es de $${analysis.averageContribution.toFixed(2)}/día, lo cual hace esta meta ${Math.round(analysis.realismRatio)}x más exigente de lo que ha logrado mantener.
+  private async getAISuggestion(analysis: GoalAnalysis): Promise<{
+    suggestion: "extend" | "reduce";
+    newValue: number;
+    reasoning: string;
+  }> {
+    const prompt = `La meta "${
+      analysis.goal.name
+    }" del usuario requiere ahorrar $${analysis.dailyRequiredContribution.toFixed(
+      2
+    )}/día durante los próximos ${
+      analysis.daysRemaining
+    } días para alcanzar $${analysis.amountRemaining.toFixed(2)} faltantes.
+
+Su contribución promedio histórica es de $${analysis.averageContribution.toFixed(
+      2
+    )}/día, lo cual hace esta meta ${Math.round(
+      analysis.realismRatio
+    )}x más exigente de lo que ha logrado mantener.
 
 Sugiere:
 1. Extender la fecha límite (¿cuántos días más necesitaría manteniendo su ritmo actual?)
@@ -188,6 +214,29 @@ Responde SOLO con un JSON válido en este formato:
   "reasoning": "explicación breve y motivadora"
 }`;
 
+    // Use fallback logic if no API key is configured
+    if (!this.OPENAI_API_KEY || this.OPENAI_API_KEY === "") {
+      console.log("OpenAI API key not configured, using fallback logic");
+      const daysNeeded = Math.ceil(
+        analysis.amountRemaining / analysis.averageContribution
+      );
+      const additionalDays = daysNeeded - analysis.daysRemaining;
+
+      return {
+        suggestion: additionalDays > 0 ? "extend" : "reduce",
+        newValue:
+          additionalDays > 0
+            ? additionalDays
+            : Math.ceil(
+                analysis.goal.currentAmount / analysis.averageContribution
+              ),
+        reasoning:
+          additionalDays > 0
+            ? `Basado en tu ritmo actual de ahorro, necesitarías ${daysNeeded} días más para alcanzar tu meta. Considera extender la fecha límite para que sea más alcanzable.`
+            : `Con tu ritmo actual, estás en excelente camino. Podrías considerar reducir el monto objetivo para cumplirlo antes de la fecha límite.`,
+      };
+    }
+
     try {
       const response = await fetch(
         "https://api.openai.com/v1/chat/completions",
@@ -198,7 +247,7 @@ Responde SOLO con un JSON válido en este formato:
             "Content-Type": "application/json",
           },
           body: JSON.stringify({
-            model: "gpt-4",
+            model: "gpt-4.1-nano",
             messages: [
               {
                 role: "system",
@@ -218,6 +267,8 @@ Responde SOLO con un JSON válido en este formato:
       );
 
       if (!response.ok) {
+        const errorBody = await response.text();
+        console.error(`OpenAI API error: ${response.status} - ${errorBody}`);
         throw new Error(`OpenAI API error: ${response.status}`);
       }
 
@@ -230,7 +281,7 @@ Responde SOLO con un JSON válido en este formato:
 
       return JSON.parse(content);
     } catch (error) {
-      console.error("Error calling OpenAI API:", error);
+      console.error("Error calling OpenAI API, using fallback:", error);
 
       const daysNeeded = Math.ceil(
         analysis.amountRemaining / analysis.averageContribution
@@ -242,9 +293,7 @@ Responde SOLO con un JSON válido en este formato:
         newValue:
           additionalDays > 0
             ? additionalDays
-            : Math.floor(
-                analysis.averageContribution * analysis.daysRemaining
-              ),
+            : Math.floor(analysis.averageContribution * analysis.daysRemaining),
         reasoning:
           "Tu ritmo de ahorro actual sugiere que necesitas ajustar tu meta para hacerla más alcanzable. Esto te ayudará a mantener la motivación y el progreso constante.",
       };
@@ -265,7 +314,9 @@ Responde SOLO con un JSON válido en este formato:
     );
 
     const extendedDate = new Date(analysis.goal.endDate);
-    extendedDate.setDate(extendedDate.getDate() + (daysNeeded - analysis.daysRemaining));
+    extendedDate.setDate(
+      extendedDate.getDate() + (daysNeeded - analysis.daysRemaining)
+    );
 
     return {
       targetAmount: realisticAmount,
diff --git a/src/features/recommendations/application/services/recommendation-orchestrator.service.ts b/src/features/recommendations/application/services/recommendation-orchestrator.service.ts
index c971192..5c807ee 100644
--- a/src/features/recommendations/application/services/recommendation-orchestrator.service.ts
+++ b/src/features/recommendations/application/services/recommendation-orchestrator.service.ts
@@ -93,6 +93,26 @@ export class RecommendationOrchestratorService
         return null;
       }
 
+      // Additional check: verify if there's already a recommendation with the same title/type in the last 23 hours
+      const recentThreshold = new Date();
+      recentThreshold.setHours(recentThreshold.getHours() - 23);
+
+      const pendingRecommendations =
+        await this.recommendationRepository.findPendingByUserId(userId);
+      const duplicateExists = pendingRecommendations.some(
+        (rec) =>
+          rec.type === randomType &&
+          rec.title === analysisResult.title &&
+          rec.createdAt >= recentThreshold
+      );
+
+      if (duplicateExists) {
+        console.log(
+          `Duplicate recommendation detected for user ${userId} with type ${randomType} and title "${analysisResult.title}". Skipping creation.`
+        );
+        return null;
+      }
+
       const recommendation = await this.recommendationRepository.create({
         userId,
         type: randomType,
@@ -144,16 +164,27 @@ export class RecommendationOrchestratorService
 
   private async checkRecentRecommendation(userId: number): Promise<boolean> {
     try {
-      const todayStart = new Date();
-      todayStart.setHours(0, 0, 0, 0);
+      // Check for recommendations in the last 23 hours (to prevent duplicates even if running frequently)
+      const recentThreshold = new Date();
+      recentThreshold.setHours(recentThreshold.getHours() - 23);
 
       const pendingRecommendations =
         await this.recommendationRepository.findPendingByUserId(userId);
 
       const hasRecentRecommendation = pendingRecommendations.some(
-        (rec) => rec.createdAt >= todayStart
+        (rec) => rec.createdAt >= recentThreshold
       );
 
+      if (hasRecentRecommendation) {
+        console.log(
+          `User ${userId} has ${
+            pendingRecommendations.filter(
+              (rec) => rec.createdAt >= recentThreshold
+            ).length
+          } recommendation(s) from the last 23 hours`
+        );
+      }
+
       return hasRecentRecommendation;
     } catch (error) {
       console.error(
@@ -174,6 +205,25 @@ export class RecommendationOrchestratorService
     recommendation: Recommendation
   ): Promise<void> {
     try {
+      // Check if there's already a similar notification in the last 23 hours to prevent duplicates
+      const recentThreshold = new Date();
+      recentThreshold.setHours(recentThreshold.getHours() - 23);
+
+      const existingNotifications =
+        await this.notificationRepository.findRecentByUserTypeAndTitle(
+          recommendation.userId,
+          NotificationType.SUGGESTION,
+          recommendation.title,
+          recentThreshold
+        );
+
+      if (existingNotifications.length > 0) {
+        console.log(
+          `Skipping notification creation for recommendation ${recommendation.id} - similar notification already exists`
+        );
+        return;
+      }
+
       await this.notificationRepository.create({
         userId: recommendation.userId,
         title: recommendation.title,
@@ -182,6 +232,10 @@ export class RecommendationOrchestratorService
         type: NotificationType.SUGGESTION,
         expiresAt: recommendation.expiresAt || undefined,
       });
+
+      console.log(
+        `Created notification for recommendation ${recommendation.id}`
+      );
     } catch (error) {
       console.error(
         `Error creating notification for recommendation ${recommendation.id}:`,
diff --git a/src/features/recommendations/application/services/spending-analysis.service.ts b/src/features/recommendations/application/services/spending-analysis.service.ts
index d031f50..c266a9d 100644
--- a/src/features/recommendations/application/services/spending-analysis.service.ts
+++ b/src/features/recommendations/application/services/spending-analysis.service.ts
@@ -89,11 +89,7 @@ export class SpendingAnalysisService implements IAnalysisService {
   ): Promise<CategorySpending | null> {
     const now = new Date();
     const currentMonthStart = new Date(now.getFullYear(), now.getMonth(), 1);
-    const threeMonthsAgo = new Date(
-      now.getFullYear(),
-      now.getMonth() - 3,
-      1
-    );
+    const threeMonthsAgo = new Date(now.getFullYear(), now.getMonth() - 3, 1);
     const previousMonthStart = new Date(
       now.getFullYear(),
       now.getMonth() - 1,
@@ -116,6 +112,10 @@ export class SpendingAnalysisService implements IAnalysisService {
         endDate: previousMonthStart.toISOString(),
       });
 
+    console.log(
+      `[SpendingAnalysis] User ${userId}: Found ${currentMonthExpenses.length} expenses this month, ${previousThreeMonthsExpenses.length} in previous 3 months`
+    );
+
     const currentMonthByCategory = this.groupByCategory(currentMonthExpenses);
     const previousMonthsByCategory = this.groupByCategory(
       previousThreeMonthsExpenses
@@ -147,6 +147,9 @@ export class SpendingAnalysisService implements IAnalysisService {
     }
 
     if (categoryAnalysis.length === 0) {
+      console.log(
+        `[SpendingAnalysis] User ${userId}: No unusual spending patterns detected (no category with >${this.THRESHOLD_PERCENTAGE}% increase)`
+      );
       return null;
     }
 
@@ -154,14 +157,18 @@ export class SpendingAnalysisService implements IAnalysisService {
       (a, b) => b.percentageIncrease - a.percentageIncrease
     );
 
+    console.log(
+      `[SpendingAnalysis] User ${userId}: Found unusual spending in ${categoryAnalysis[0].categoryName} (+${categoryAnalysis[0].percentageIncrease}%)`
+    );
+
     return categoryAnalysis[0];
   }
 
-  private groupByCategory(
-    transactions: any[]
-  ): Record<string, number> {
+  private groupByCategory(transactions: any[]): Record<string, number> {
     return transactions.reduce((acc, tx) => {
-      const key = `${tx.categoryId || "null"}|${tx.category?.name || "Sin categoría"}`;
+      const key = `${tx.categoryId || "null"}|${
+        tx.category?.name || "Sin categoría"
+      }`;
       acc[key] = (acc[key] || 0) + tx.amount;
       return acc;
     }, {} as Record<string, number>);
@@ -170,7 +177,13 @@ export class SpendingAnalysisService implements IAnalysisService {
   private async getAIInsight(
     spending: CategorySpending
   ): Promise<{ insight: string; suggestion: string }> {
-    const prompt = `El usuario ha gastado $${spending.currentMonthTotal.toFixed(2)} en "${spending.categoryName}" este mes, lo cual es ${spending.percentageIncrease}% más que su promedio de 3 meses de $${spending.threeMonthAverage.toFixed(2)}.
+    const prompt = `El usuario ha gastado $${spending.currentMonthTotal.toFixed(
+      2
+    )} en "${spending.categoryName}" este mes, lo cual es ${
+      spending.percentageIncrease
+    }% más que su promedio de 3 meses de $${spending.threeMonthAverage.toFixed(
+      2
+    )}.
 
 Proporciona:
 1. Un análisis breve (2-3 oraciones) sobre este patrón de gasto
@@ -182,6 +195,16 @@ Responde SOLO con un JSON válido en este formato:
   "suggestion": "sugerencia accionable"
 }`;
 
+    // Use fallback logic if no API key is configured
+    if (!this.OPENAI_API_KEY || this.OPENAI_API_KEY === "") {
+      console.log("OpenAI API key not configured, using fallback logic");
+      return {
+        insight: `Has incrementado tu gasto en ${spending.categoryName} en un ${spending.percentageIncrease}% comparado con tu promedio mensual. Este cambio significativo merece atención.`,
+        suggestion:
+          "Revisa tus transacciones recientes en esta categoría para identificar gastos innecesarios y considera establecer un presupuesto mensual.",
+      };
+    }
+
     try {
       const response = await fetch(
         "https://api.openai.com/v1/chat/completions",
@@ -192,7 +215,7 @@ Responde SOLO con un JSON válido en este formato:
             "Content-Type": "application/json",
           },
           body: JSON.stringify({
-            model: "gpt-4",
+            model: "gpt-4.1-nano",
             messages: [
               {
                 role: "system",
@@ -212,6 +235,8 @@ Responde SOLO con un JSON válido en este formato:
       );
 
       if (!response.ok) {
+        const errorBody = await response.text();
+        console.error(`OpenAI API error: ${response.status} - ${errorBody}`);
         throw new Error(`OpenAI API error: ${response.status}`);
       }
 
@@ -224,7 +249,7 @@ Responde SOLO con un JSON válido en este formato:
 
       return JSON.parse(content);
     } catch (error) {
-      console.error("Error calling OpenAI API:", error);
+      console.error("Error calling OpenAI API, using fallback:", error);
 
       return {
         insight: `Has incrementado tu gasto en ${spending.categoryName} en un ${spending.percentageIncrease}% comparado con tu promedio mensual. Este cambio significativo merece atención.`,
diff --git a/src/features/recommendations/infrastructure/adapters/pg-recommendation.repository.ts b/src/features/recommendations/infrastructure/adapters/pg-recommendation.repository.ts
index 58c9e26..ab45c9a 100644
--- a/src/features/recommendations/infrastructure/adapters/pg-recommendation.repository.ts
+++ b/src/features/recommendations/infrastructure/adapters/pg-recommendation.repository.ts
@@ -1,6 +1,6 @@
 import { db } from "@/db";
 import { recommendations } from "@/schema";
-import { eq, and, gt, lt } from "drizzle-orm";
+import { eq, and, gt, lt, inArray } from "drizzle-orm";
 import { IRecommendationRepository } from "../../domain/ports/recommendation.repository.interface";
 import {
   Recommendation,
@@ -65,13 +65,18 @@ export class PgRecommendationRepository implements IRecommendationRepository {
   async findPendingByUserId(userId: number): Promise<Recommendation[]> {
     const now = new Date();
 
+    // Return recommendations that are PENDING or VIEWED (exclude DISMISSED and ACTED)
+    // This allows users to see recommendations they've already viewed until they dismiss or act on them
     const results = await db
       .select()
       .from(recommendations)
       .where(
         and(
           eq(recommendations.user_id, userId),
-          eq(recommendations.status, RecommendationStatus.PENDING),
+          inArray(recommendations.status, [
+            RecommendationStatus.PENDING,
+            RecommendationStatus.VIEWED,
+          ]),
           gt(recommendations.expires_at, now)
         )
       )
diff --git a/src/features/recommendations/infrastructure/clients/openai.client.ts b/src/features/recommendations/infrastructure/clients/openai.client.ts
index ce2e2d9..5bf5c7a 100644
--- a/src/features/recommendations/infrastructure/clients/openai.client.ts
+++ b/src/features/recommendations/infrastructure/clients/openai.client.ts
@@ -21,7 +21,7 @@ export class OpenAIClient {
     try {
       const response = await this.client.chat.completions.create(
         {
-          model: "gpt-4",
+          model: "gpt-4.1-nano",
           messages: [
             {
               role: "system",