improve colors

backend/app/main.py

@@ -7,24 +7,19 @@ from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import JSONResponse
 
 from .core.config import settings
+from .routers.agent import router as agent_router
 from .routers.chunking import router as chunking_router
 from .routers.chunking_landingai import router as chunking_landingai_router
 from .routers.dataroom import router as dataroom_router
-
-# Import routers
 from .routers.files import router as files_router
 from .routers.schemas import router as schemas_router
 from .routers.vectors import router as vectors_router
 
-# from routers.ai import router as ai_router  #  futuro con Azure OpenAI
-
-# Import config
-
-
 # Configurar logging
 logging.basicConfig(
-    level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+    level=logging.WARNING, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
 )
+logging.getLogger("app").setLevel(logging.INFO)
 logger = logging.getLogger(__name__)
 
 
@@ -130,6 +125,8 @@ app.include_router(chunking_landingai_router)
 
 app.include_router(dataroom_router, prefix="/api/v1")
 
+app.include_router(agent_router)
+
 # Router para IA
 # app.include_router(
 #     ai_router,

backend/app/routers/agent.py

@@ -0,0 +1,24 @@
+from fastapi import APIRouter
+from pydantic_ai import Agent
+from pydantic_ai.models.openai import OpenAIChatModel
+from pydantic_ai.providers.azure import AzureProvider
+from pydantic_ai.ui.vercel_ai import VercelAIAdapter
+from starlette.requests import Request
+from starlette.responses import Response
+
+from app.core.config import settings
+
+provider = AzureProvider(
+    azure_endpoint=settings.AZURE_OPENAI_ENDPOINT,
+    api_version=settings.AZURE_OPENAI_API_VERSION,
+    api_key=settings.AZURE_OPENAI_API_KEY,
+)
+model = OpenAIChatModel(model_name="gpt-4o", provider=provider)
+agent = Agent(model=model)
+
+router = APIRouter(prefix="/api/v1/agent", tags=["Agent"])
+
+
+@router.post("/chat")
+async def chat(request: Request) -> Response:
+    return await VercelAIAdapter.dispatch_request(request, agent=agent)

backend/app/services/azure_service.py

@@ -1,9 +1,17 @@
-from azure.storage.blob import BlobServiceClient, BlobClient, ContainerClient, generate_blob_sas, BlobSasPermissions
-from azure.core.exceptions import ResourceNotFoundError, ResourceExistsError
-from typing import List, Optional, BinaryIO
 import logging
-from datetime import datetime, timezone, timedelta
 import os
+from datetime import datetime, timedelta, timezone
+from typing import BinaryIO, List, Optional
+
+from azure.core.exceptions import ResourceExistsError, ResourceNotFoundError
+from azure.storage.blob import (
+    BlobClient,
+    BlobSasPermissions,
+    BlobServiceClient,
+    ContainerClient,
+    generate_blob_sas,
+)
+
 from ..core.config import settings
 
 logger = logging.getLogger(__name__)
@@ -21,7 +29,9 @@ class AzureBlobService:
                 settings.AZURE_STORAGE_CONNECTION_STRING
             )
             self.container_name = settings.AZURE_CONTAINER_NAME
-            logger.info(f"Cliente de Azure Blob Storage inicializado para container: {self.container_name}")
+            logger.info(
+                f"Cliente de Azure Blob Storage inicializado para container: {self.container_name}"
+            )
 
             # Configurar CORS automáticamente al inicializar
             self._configure_cors()
@@ -45,7 +55,7 @@ class AzureBlobService:
                 allowed_methods=["GET", "HEAD", "OPTIONS"],
                 allowed_headers=["*"],
                 exposed_headers=["*"],
-                max_age_in_seconds=3600
+                max_age_in_seconds=3600,
             )
 
             # Aplicar la configuración CORS
@@ -55,7 +65,9 @@ class AzureBlobService:
         except Exception as e:
             # No fallar si CORS no se puede configurar (puede que ya esté configurado)
             logger.warning(f"No se pudo configurar CORS automáticamente: {e}")
-            logger.warning("Asegúrate de configurar CORS manualmente en Azure Portal si es necesario")
+            logger.warning(
+                "Asegúrate de configurar CORS manualmente en Azure Portal si es necesario"
+            )
 
     async def create_container_if_not_exists(self) -> bool:
         """
@@ -63,7 +75,9 @@ class AzureBlobService:
         Returns: True si se creó, False si ya existía
         """
         try:
-            container_client = self.blob_service_client.get_container_client(self.container_name)
+            container_client = self.blob_service_client.get_container_client(
+                self.container_name
+            )
             container_client.create_container()
             logger.info(f"Container '{self.container_name}' creado exitosamente")
             return True
@@ -74,26 +88,32 @@ class AzureBlobService:
             logger.error(f"Error creando container: {e}")
             raise e
 
-    async def upload_file(self, file_data: BinaryIO, blob_name: str, tema: str = "") -> dict:
+    async def upload_file(
+        self, file_data: BinaryIO, blob_name: str, tema: str = ""
+    ) -> dict:
         """
         Subir un archivo a Azure Blob Storage
 
         Args:
             file_data: Datos del archivo
             blob_name: Nombre del archivo en el blob
-            tema: Tema/carpeta donde guardar el archivo
+            tema: Tema/carpeta donde guardar el archivo (se normaliza a lowercase)
 
         Returns:
             dict: Información del archivo subido
         """
         try:
-            # Construir la ruta completa con tema si se proporciona
+            # Normalizar tema a lowercase para consistencia
-            full_blob_name = f"{tema}/{blob_name}" if tema else blob_name
+            tema_normalized = tema.lower() if tema else ""
+
+            # Construir la ruta completa con tema normalizado
+            full_blob_name = (
+                f"{tema_normalized}/{blob_name}" if tema_normalized else blob_name
+            )
 
             # Obtener cliente del blob
             blob_client = self.blob_service_client.get_blob_client(
-                container=self.container_name,
+                container=self.container_name, blob=full_blob_name
-                blob=full_blob_name
             )
 
             # Subir el archivo
@@ -107,10 +127,10 @@ class AzureBlobService:
             return {
                 "name": blob_name,
                 "full_path": full_blob_name,
-                "tema": tema,
+                "tema": tema_normalized,
                 "size": blob_properties.size,
                 "last_modified": blob_properties.last_modified,
-                "url": blob_client.url
+                "url": blob_client.url,
             }
 
         except Exception as e:
@@ -123,19 +143,21 @@ class AzureBlobService:
 
         Args:
             blob_name: Nombre del archivo
-            tema: Tema/carpeta donde está el archivo
+            tema: Tema/carpeta donde está el archivo (búsqueda case-insensitive)
 
         Returns:
             bytes: Contenido del archivo
         """
         try:
-            # Construir la ruta completa
+            # Si se proporciona tema, buscar el archivo de manera case-insensitive
-            full_blob_name = f"{tema}/{blob_name}" if tema else blob_name
+            if tema:
+                full_blob_name = await self._find_blob_case_insensitive(blob_name, tema)
+            else:
+                full_blob_name = blob_name
 
             # Obtener cliente del blob
             blob_client = self.blob_service_client.get_blob_client(
-                container=self.container_name,
+                container=self.container_name, blob=full_blob_name
-                blob=full_blob_name
             )
 
             # Descargar el archivo
@@ -158,19 +180,21 @@ class AzureBlobService:
 
         Args:
             blob_name: Nombre del archivo
-            tema: Tema/carpeta donde está el archivo
+            tema: Tema/carpeta donde está el archivo (búsqueda case-insensitive)
 
         Returns:
             bool: True si se eliminó exitosamente
         """
         try:
-            # Construir la ruta completa
+            # Si se proporciona tema, buscar el archivo de manera case-insensitive
-            full_blob_name = f"{tema}/{blob_name}" if tema else blob_name
+            if tema:
+                full_blob_name = await self._find_blob_case_insensitive(blob_name, tema)
+            else:
+                full_blob_name = blob_name
 
             # Obtener cliente del blob
             blob_client = self.blob_service_client.get_blob_client(
-                container=self.container_name,
+                container=self.container_name, blob=full_blob_name
-                blob=full_blob_name
             )
 
             # Eliminar el archivo
@@ -191,33 +215,46 @@ class AzureBlobService:
         Listar archivos en el container o en un tema específico
 
         Args:
-            tema: Tema/carpeta específica (opcional)
+            tema: Tema/carpeta específica (opcional) - filtrado case-insensitive
 
         Returns:
             List[dict]: Lista de archivos con sus propiedades
         """
         try:
-            container_client = self.blob_service_client.get_container_client(self.container_name)
+            container_client = self.blob_service_client.get_container_client(
+                self.container_name
+            )
 
-            # Filtrar por tema si se proporciona
+            # Obtener todos los blobs para hacer filtrado case-insensitive
-            name_starts_with = f"{tema}/" if tema else None
+            blobs = container_client.list_blobs()
-            
-            blobs = container_client.list_blobs(name_starts_with=name_starts_with)
 
             files = []
+            tema_lower = tema.lower() if tema else ""
+
             for blob in blobs:
                 # Extraer información del blob
+                blob_tema = os.path.dirname(blob.name) if "/" in blob.name else ""
+
+                # Filtrar por tema de manera case-insensitive si se proporciona
+                if tema and blob_tema.lower() != tema_lower:
+                    continue
+
                 blob_info = {
                     "name": os.path.basename(blob.name),
                     "full_path": blob.name,
-                    "tema": os.path.dirname(blob.name) if "/" in blob.name else "",
+                    "tema": blob_tema,
                     "size": blob.size,
                     "last_modified": blob.last_modified,
-                    "content_type": blob.content_settings.content_type if blob.content_settings else None
+                    "content_type": blob.content_settings.content_type
+                    if blob.content_settings
+                    else None,
                 }
                 files.append(blob_info)
 
-            logger.info(f"Listados {len(files)} archivos" + (f" en tema '{tema}'" if tema else ""))
+            logger.info(
+                f"Listados {len(files)} archivos"
+                + (f" en tema '{tema}' (case-insensitive)" if tema else "")
+            )
             return files
 
         except Exception as e:
@@ -230,19 +267,26 @@ class AzureBlobService:
 
         Args:
             blob_name: Nombre del archivo
-            tema: Tema/carpeta donde está el archivo
+            tema: Tema/carpeta donde está el archivo (búsqueda case-insensitive)
 
         Returns:
             dict: Información del archivo
         """
         try:
-            # Construir la ruta completa
+            # Si se proporciona tema, buscar el archivo de manera case-insensitive
-            full_blob_name = f"{tema}/{blob_name}" if tema else blob_name
+            if tema:
+                full_blob_name = await self._find_blob_case_insensitive(blob_name, tema)
+                # Extraer el tema real del path encontrado
+                real_tema = (
+                    os.path.dirname(full_blob_name) if "/" in full_blob_name else ""
+                )
+            else:
+                full_blob_name = blob_name
+                real_tema = ""
 
             # Obtener cliente del blob
             blob_client = self.blob_service_client.get_blob_client(
-                container=self.container_name,
+                container=self.container_name, blob=full_blob_name
-                blob=full_blob_name
             )
 
             # Obtener propiedades
@@ -251,11 +295,11 @@ class AzureBlobService:
             return {
                 "name": blob_name,
                 "full_path": full_blob_name,
-                "tema": tema,
+                "tema": real_tema,
                 "size": properties.size,
                 "last_modified": properties.last_modified,
                 "content_type": properties.content_settings.content_type,
-                "url": blob_client.url
+                "url": blob_client.url,
             }
 
         except ResourceNotFoundError:
@@ -271,19 +315,21 @@ class AzureBlobService:
 
         Args:
             blob_name: Nombre del archivo
-            tema: Tema/carpeta donde está el archivo
+            tema: Tema/carpeta donde está el archivo (búsqueda case-insensitive)
 
         Returns:
             str: URL de descarga
         """
         try:
-            # Construir la ruta completa
+            # Si se proporciona tema, buscar el archivo de manera case-insensitive
-            full_blob_name = f"{tema}/{blob_name}" if tema else blob_name
+            if tema:
+                full_blob_name = await self._find_blob_case_insensitive(blob_name, tema)
+            else:
+                full_blob_name = blob_name
 
             # Obtener cliente del blob
             blob_client = self.blob_service_client.get_blob_client(
-                container=self.container_name,
+                container=self.container_name, blob=full_blob_name
-                blob=full_blob_name
             )
 
             return blob_client.url
@@ -292,7 +338,9 @@ class AzureBlobService:
             logger.error(f"Error obteniendo URL de descarga para '{blob_name}': {e}")
             raise e
 
-    async def generate_sas_url(self, blob_name: str, tema: str = "", expiry_hours: int = 1) -> str:
+    async def generate_sas_url(
+        self, blob_name: str, tema: str = "", expiry_hours: int = 1
+    ) -> str:
         """
         Generar una URL SAS (Shared Access Signature) temporal para acceder a un archivo
 
@@ -301,7 +349,7 @@ class AzureBlobService:
 
         Args:
             blob_name: Nombre del archivo
-            tema: Tema/carpeta donde está el archivo
+            tema: Tema/carpeta donde está el archivo (búsqueda case-insensitive)
             expiry_hours: Horas de validez de la URL (por defecto 1 hora)
 
         Returns:
@@ -310,13 +358,15 @@ class AzureBlobService:
         try:
             from azure.storage.blob import ContentSettings
 
-            # Construir la ruta completa del blob
+            # Si se proporciona tema, buscar el archivo de manera case-insensitive
-            full_blob_name = f"{tema}/{blob_name}" if tema else blob_name
+            if tema:
+                full_blob_name = await self._find_blob_case_insensitive(blob_name, tema)
+            else:
+                full_blob_name = blob_name
 
             # Obtener cliente del blob
             blob_client = self.blob_service_client.get_blob_client(
-                container=self.container_name,
+                container=self.container_name, blob=full_blob_name
-                blob=full_blob_name
             )
 
             # Verificar que el archivo existe antes de generar el SAS
@@ -327,11 +377,13 @@ class AzureBlobService:
             # Esto hace que el navegador muestre el PDF en lugar de descargarlo
             try:
                 content_settings = ContentSettings(
-                    content_type='application/pdf',
+                    content_type="application/pdf",
-                    content_disposition='inline'  # Clave para mostrar en navegador
+                    content_disposition="inline",  # Clave para mostrar en navegador
                 )
                 blob_client.set_http_headers(content_settings=content_settings)
-                logger.info(f"Headers configurados para visualización inline de '{full_blob_name}'")
+                logger.info(
+                    f"Headers configurados para visualización inline de '{full_blob_name}'"
+                )
             except Exception as e:
                 logger.warning(f"No se pudieron configurar headers inline: {e}")
 
@@ -342,9 +394,9 @@ class AzureBlobService:
             # Extraer la account key del connection string para generar el SAS
             # El SAS necesita la account key para firmar el token
             account_key = None
-            for part in settings.AZURE_STORAGE_CONNECTION_STRING.split(';'):
+            for part in settings.AZURE_STORAGE_CONNECTION_STRING.split(";"):
-                if part.startswith('AccountKey='):
+                if part.startswith("AccountKey="):
-                    account_key = part.split('=', 1)[1]
+                    account_key = part.split("=", 1)[1]
                     break
 
             if not account_key:
@@ -358,13 +410,15 @@ class AzureBlobService:
                 account_key=account_key,
                 permission=BlobSasPermissions(read=True),  # Solo permisos de lectura
                 expiry=expiry_time,
-                start=start_time
+                start=start_time,
             )
 
             # Construir la URL completa con el SAS token
             sas_url = f"{blob_client.url}?{sas_token}"
 
-            logger.info(f"SAS URL generada para '{full_blob_name}' (válida por {expiry_hours} horas)")
+            logger.info(
+                f"SAS URL generada para '{full_blob_name}' (válida por {expiry_hours} horas)"
+            )
             return sas_url
 
         except FileNotFoundError:
@@ -374,6 +428,47 @@ class AzureBlobService:
             logger.error(f"Error generando SAS URL para '{blob_name}': {e}")
             raise e
 
+    async def _find_blob_case_insensitive(self, blob_name: str, tema: str) -> str:
+        """
+        Buscar un blob de manera case-insensitive
+
+        Args:
+            blob_name: Nombre del archivo a buscar
+            tema: Tema donde buscar (case-insensitive)
+
+        Returns:
+            str: Ruta completa del blob encontrado
+
+        Raises:
+            FileNotFoundError: Si no se encuentra el archivo
+        """
+        try:
+            container_client = self.blob_service_client.get_container_client(
+                self.container_name
+            )
+            blobs = container_client.list_blobs()
+
+            tema_lower = tema.lower()
+            blob_name_lower = blob_name.lower()
+
+            for blob in blobs:
+                blob_tema = os.path.dirname(blob.name) if "/" in blob.name else ""
+                current_blob_name = os.path.basename(blob.name)
+
+                if (
+                    blob_tema.lower() == tema_lower
+                    and current_blob_name.lower() == blob_name_lower
+                ):
+                    return blob.name
+
+            # Si no se encuentra, usar la construcción original para que falle apropiadamente
+            return f"{tema}/{blob_name}"
+
+        except Exception as e:
+            logger.error(f"Error buscando blob case-insensitive: {e}")
+            # Fallback a construcción original
+            return f"{tema}/{blob_name}"
+
 
 # Instancia global del servicio
 azure_service = AzureBlobService()

backend/pyproject.toml

@@ -28,6 +28,7 @@ dependencies = [
     # LandingAI Document AI
     "landingai-ade>=0.2.1",
     "redis-om>=0.3.5",
+    "pydantic-ai-slim[google,openai]>=1.11.1",
 ]
 [project.scripts]
 dev = "uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload"

backend/uv.lock

@@ -74,6 +74,7 @@ dependencies = [
     { name = "openai" },
     { name = "pdf2image" },
     { name = "pillow" },
+    { name = "pydantic-ai-slim", extra = ["google", "openai"] },
     { name = "pydantic-settings" },
     { name = "pypdf" },
     { name = "python-dotenv" },
@@ -97,6 +98,7 @@ requires-dist = [
     { name = "openai", specifier = ">=1.59.6" },
     { name = "pdf2image", specifier = ">=1.17.0" },
     { name = "pillow", specifier = ">=11.0.0" },
+    { name = "pydantic-ai-slim", extras = ["google", "openai"], specifier = ">=1.11.1" },
     { name = "pydantic-settings", specifier = ">=2.10.1" },
     { name = "pypdf", specifier = ">=5.1.0" },
     { name = "python-dotenv", specifier = ">=1.1.1" },
@@ -289,6 +291,19 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/e5/47/d63c60f59a59467fda0f93f46335c9d18526d7071f025cb5b89d5353ea42/fastapi-0.116.1-py3-none-any.whl", hash = "sha256:c46ac7c312df840f0c9e220f7964bada936781bc4e2e6eb71f1c4d7553786565", size = 95631, upload-time = "2025-07-11T16:22:30.485Z" },
 ]
 
+[[package]]
+name = "genai-prices"
+version = "0.0.36"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "httpx" },
+    { name = "pydantic" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/39/e2/45c863fb61cf2d70d948e80d63e4f3db213a957976a2a3564e40ebe8f506/genai_prices-0.0.36.tar.gz", hash = "sha256:1092f5b96168967fa880440dd9dcc9287fd73910b284045f0226a38f628ccbc9", size = 46046, upload-time = "2025-11-05T14:04:13.437Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/16/89/14b4be11b74dd29827bc37b648b0540fcf3bd6530cb48031f1ce7da4594c/genai_prices-0.0.36-py3-none-any.whl", hash = "sha256:7ad39e04fbcdb5cfdc3891e68de6ca1064b6660e06e9ba76fa6f161ff12b32e4", size = 48688, upload-time = "2025-11-05T14:04:12.133Z" },
+]
+
 [[package]]
 name = "google-api-core"
 version = "2.28.1"
@@ -486,6 +501,18 @@ grpc = [
     { name = "grpcio", version = "1.76.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.14'" },
 ]
 
+[[package]]
+name = "griffe"
+version = "1.14.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "colorama" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/ec/d7/6c09dd7ce4c7837e4cdb11dce980cb45ae3cd87677298dc3b781b6bce7d3/griffe-1.14.0.tar.gz", hash = "sha256:9d2a15c1eca966d68e00517de5d69dd1bc5c9f2335ef6c1775362ba5b8651a13", size = 424684, upload-time = "2025-09-05T15:02:29.167Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2a/b1/9ff6578d789a89812ff21e4e0f80ffae20a65d5dd84e7a17873fe3b365be/griffe-1.14.0-py3-none-any.whl", hash = "sha256:0e9d52832cccf0f7188cfe585ba962d2674b241c01916d780925df34873bceb0", size = 144439, upload-time = "2025-09-05T15:02:27.511Z" },
+]
+
 [[package]]
 name = "grpc-google-iam-v1"
 version = "0.14.3"
@@ -776,6 +803,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/76/c6/c88e154df9c4e1a2a66ccf0005a88dfb2650c1dffb6f5ce603dfbd452ce3/idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3", size = 70442, upload-time = "2024-09-15T18:07:37.964Z" },
 ]
 
+[[package]]
+name = "importlib-metadata"
+version = "8.7.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "zipp" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/76/66/650a33bd90f786193e4de4b3ad86ea60b53c89b669a5c7be931fac31cdb0/importlib_metadata-8.7.0.tar.gz", hash = "sha256:d13b81ad223b890aa16c5471f2ac3056cf76c5f10f82d6f9292f0b415f389000", size = 56641, upload-time = "2025-04-27T15:29:01.736Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/20/b0/36bd937216ec521246249be3bf9855081de4c5e06a0c9b4219dbeda50373/importlib_metadata-8.7.0-py3-none-any.whl", hash = "sha256:e5dd1551894c77868a30651cef00984d50e1002d06942a7101d34870c5f02afd", size = 27656, upload-time = "2025-04-27T15:29:00.214Z" },
+]
+
 [[package]]
 name = "isodate"
 version = "0.7.2"
@@ -1009,6 +1048,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/98/4c/6c0c338ca7182e4ecb7af61049415e7b3513cc6cea9aa5bf8ca508f53539/langsmith-0.4.41-py3-none-any.whl", hash = "sha256:5cdc554e5f0361bf791fdd5e8dea16d5ba9dfce09b3b8f8bba5e99450c569b27", size = 399279, upload-time = "2025-11-04T22:31:30.268Z" },
 ]
 
+[[package]]
+name = "logfire-api"
+version = "4.14.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/59/25/6072086af3b3ac5c2c2f2a6cf89488a1b228ffc6ee0fb357ed1e227efd13/logfire_api-4.14.2.tar.gz", hash = "sha256:bbdeccd931069b76ab811261b41bc52d8b78d1c045fc4b4237dbc085e0fb9bcd", size = 57604, upload-time = "2025-10-24T20:14:40.551Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/58/c7/b06a83df678fca882c24fb498e628e0406bdb95ffdfa7ae43ecc0a714d52/logfire_api-4.14.2-py3-none-any.whl", hash = "sha256:aa4af2ecb007c3e0095e25ba4526fd8c0e2c0be2ceceac71ca651c4ad86dc713", size = 95021, upload-time = "2025-10-24T20:14:36.161Z" },
+]
+
 [[package]]
 name = "more-itertools"
 version = "10.8.0"
@@ -1100,6 +1148,19 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/8c/74/6bfc3adc81f6c2cea4439f2a734c40e3a420703bbcdc539890096a732bbd/openai-2.7.1-py3-none-any.whl", hash = "sha256:2f2530354d94c59c614645a4662b9dab0a5b881c5cd767a8587398feac0c9021", size = 1008780, upload-time = "2025-11-04T06:07:20.818Z" },
 ]
 
+[[package]]
+name = "opentelemetry-api"
+version = "1.38.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "importlib-metadata" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/08/d8/0f354c375628e048bd0570645b310797299754730079853095bf000fba69/opentelemetry_api-1.38.0.tar.gz", hash = "sha256:f4c193b5e8acb0912b06ac5b16321908dd0843d75049c091487322284a3eea12", size = 65242, upload-time = "2025-10-16T08:35:50.25Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ae/a2/d86e01c28300bd41bab8f18afd613676e2bd63515417b77636fc1add426f/opentelemetry_api-1.38.0-py3-none-any.whl", hash = "sha256:2891b0197f47124454ab9f0cf58f3be33faca394457ac3e09daba13ff50aa582", size = 65947, upload-time = "2025-10-16T08:35:30.23Z" },
+]
+
 [[package]]
 name = "orjson"
 version = "3.11.4"
@@ -1364,6 +1425,32 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/6a/c0/ec2b1c8712ca690e5d61979dee872603e92b8a32f94cc1b72d53beab008a/pydantic-2.11.7-py3-none-any.whl", hash = "sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b", size = 444782, upload-time = "2025-06-14T08:33:14.905Z" },
 ]
 
+[[package]]
+name = "pydantic-ai-slim"
+version = "1.11.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "genai-prices" },
+    { name = "griffe" },
+    { name = "httpx" },
+    { name = "opentelemetry-api" },
+    { name = "pydantic" },
+    { name = "pydantic-graph" },
+    { name = "typing-inspection" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/90/a5/fbfcdd3c89549dd44417606af0130f1118aea8e43f4d14723e49218901a6/pydantic_ai_slim-1.11.1.tar.gz", hash = "sha256:242fb5c7a0f812d540f68d4e2e6498730ef11644b55ccf3da38bf9767802f742", size = 298765, upload-time = "2025-11-06T00:48:42.815Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f8/6d/d8ea48afdd8838d6419cdbc08d81753e2e732ff3451e3d83f6b4b56388af/pydantic_ai_slim-1.11.1-py3-none-any.whl", hash = "sha256:00ca8b0a8f677fa9efd077239b66c925423d1dc517dfac7953b62547a66adbf2", size = 397971, upload-time = "2025-11-06T00:48:28.219Z" },
+]
+
+[package.optional-dependencies]
+google = [
+    { name = "google-genai" },
+]
+openai = [
+    { name = "openai" },
+]
+
 [[package]]
 name = "pydantic-core"
 version = "2.33.2"
@@ -1406,6 +1493,21 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/6f/9a/e73262f6c6656262b5fdd723ad90f518f579b7bc8622e43a942eec53c938/pydantic_core-2.33.2-cp313-cp313t-win_amd64.whl", hash = "sha256:c2fc0a768ef76c15ab9238afa6da7f69895bb5d1ee83aeea2e3509af4472d0b9", size = 1935777, upload-time = "2025-04-23T18:32:25.088Z" },
 ]
 
+[[package]]
+name = "pydantic-graph"
+version = "1.11.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "httpx" },
+    { name = "logfire-api" },
+    { name = "pydantic" },
+    { name = "typing-inspection" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/6f/b6/1b37a9517bc71fde33184cc6f3f03795c3669b7be5a143a3012fb112742d/pydantic_graph-1.11.1.tar.gz", hash = "sha256:345d6309ac677ef6cf2f5b225e6762afd9b87cc916b943376a5cb555705a7f2b", size = 57964, upload-time = "2025-11-06T00:48:45.028Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/50/64/934e1f9be64f44515c501bf528cfc2dd672516530d5a7aa7436f72aba5ef/pydantic_graph-1.11.1-py3-none-any.whl", hash = "sha256:4d52d0c925672439e407d64e663a5e7f011f0bb0941c8b6476911044c7478cd6", size = 72002, upload-time = "2025-11-06T00:48:32.411Z" },
+]
+
 [[package]]
 name = "pydantic-settings"
 version = "2.10.1"
@@ -2148,6 +2250,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/0f/c9/7243eb3f9eaabd1a88a5a5acadf06df2d83b100c62684b7425c6a11bcaa8/xxhash-3.6.0-cp314-cp314t-win_arm64.whl", hash = "sha256:bb79b1e63f6fd84ec778a4b1916dfe0a7c3fdb986c06addd5db3a0d413819d95", size = 28898, upload-time = "2025-10-02T14:36:17.843Z" },
 ]
 
+[[package]]
+name = "zipp"
+version = "3.23.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/e3/02/0f2892c661036d50ede074e376733dca2ae7c6eb617489437771209d4180/zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166", size = 25547, upload-time = "2025-06-08T17:06:39.4Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2e/54/647ade08bf0db230bfea292f893923872fd20be6ac6f53b2b936ba839d75/zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e", size = 10276, upload-time = "2025-06-08T17:06:38.034Z" },
+]
+
 [[package]]
 name = "zstandard"
 version = "0.25.0"

frontend/src/components/Dashboard.tsx

@@ -16,7 +16,6 @@ import { Checkbox } from "@/components/ui/checkbox";
 import { FileUpload } from "./FileUpload";
 import { DeleteConfirmDialog } from "./DeleteConfirmDialog";
 import { PDFPreviewModal } from "./PDFPreviewModal";
-import { CollectionVerifier } from "./CollectionVerifier";
 import { ChunkViewerModal } from "./ChunkViewerModal";
 import {
   ChunkingConfigModalLandingAI,
@@ -31,6 +30,9 @@ import {
   Eye,
   MessageSquare,
   Scissors,
+  Loader2,
+  CheckCircle2,
+  AlertCircle,
 } from "lucide-react";
 
 interface DashboardProps {
@@ -78,14 +80,77 @@ export function Dashboard({ onProcessingChange }: DashboardProps = {}) {
   const [chunkingCollectionName, setChunkingCollectionName] = useState("");
   const [processing, setProcessing] = useState(false);
 
+  // Collection status states
+  const [isCheckingCollection, setIsCheckingCollection] = useState(false);
+  const [collectionExists, setCollectionExists] = useState<boolean | null>(
+    null,
+  );
+  const [collectionError, setCollectionError] = useState<string | null>(null);
+
   useEffect(() => {
     loadFiles();
   }, [selectedTema]);
 
+  // Check collection status when tema changes
+  useEffect(() => {
+    checkCollectionStatus();
+  }, [selectedTema]);
+
+  const checkCollectionStatus = async () => {
+    if (!selectedTema) {
+      setCollectionExists(null);
+      return;
+    }
+
+    setIsCheckingCollection(true);
+    setCollectionError(null);
+
+    try {
+      const result = await api.checkCollectionExists(selectedTema);
+      setCollectionExists(result.exists);
+    } catch (err) {
+      console.error("Error checking collection:", err);
+      setCollectionError(
+        err instanceof Error ? err.message : "Error al verificar colección",
+      );
+      setCollectionExists(null);
+    } finally {
+      setIsCheckingCollection(false);
+    }
+  };
+
+  const handleCreateCollection = async () => {
+    if (!selectedTema) return;
+
+    setIsCheckingCollection(true);
+    setCollectionError(null);
+
+    try {
+      const result = await api.createCollection(selectedTema);
+      if (result.success) {
+        setCollectionExists(true);
+        console.log(`Collection "${selectedTema}" created successfully`);
+      }
+    } catch (err) {
+      console.error("Error creating collection:", err);
+      setCollectionError(
+        err instanceof Error ? err.message : "Error al crear colección",
+      );
+    } finally {
+      setIsCheckingCollection(false);
+    }
+  };
+
   const loadFiles = async () => {
+    // Don't load files if no dataroom is selected
+    if (!selectedTema) {
+      setFiles([]);
+      return;
+    }
+
     try {
       setLoading(true);
-      const response = await api.getFiles(selectedTema || undefined);
+      const response = await api.getFiles(selectedTema);
       setFiles(response.files);
     } catch (error) {
       console.error("Error loading files:", error);
@@ -311,13 +376,54 @@ export function Dashboard({ onProcessingChange }: DashboardProps = {}) {
       <div className="border-b border-gray-200 px-6 py-4">
         <div className="flex flex-wrap items-center justify-between gap-4">
           <div>
-            <h2 className="text-2xl font-semibold text-gray-900">
+            <div className="flex items-center gap-3 mb-2">
+              <h2 className="text-2xl font-semibold text-gray-900">
+                {selectedTema
+                  ? `Dataroom: ${selectedTema}`
+                  : "Selecciona un dataroom"}
+              </h2>
+              {/* Collection Status Indicator */}
+              {selectedTema && (
+                <div className="flex items-center gap-2">
+                  {isCheckingCollection ? (
+                    <>
+                      <Loader2 className="w-4 h-4 animate-spin text-gray-500" />
+                      <span className="text-xs text-gray-500">
+                        Verificando...
+                      </span>
+                    </>
+                  ) : collectionExists === true ? (
+                    <>
+                      <CheckCircle2 className="w-4 h-4 text-green-600" />
+                      <span className="text-xs text-green-600">
+                        Colección disponible
+                      </span>
+                    </>
+                  ) : collectionExists === false ? (
+                    <>
+                      <AlertCircle className="w-4 h-4 text-yellow-600" />
+                      <button
+                        onClick={handleCreateCollection}
+                        className="text-xs text-yellow-600 hover:text-yellow-700 underline"
+                      >
+                        Crear colección
+                      </button>
+                    </>
+                  ) : collectionError ? (
+                    <>
+                      <AlertCircle className="w-4 h-4 text-red-600" />
+                      <span className="text-xs text-red-600">
+                        Error de conexión
+                      </span>
+                    </>
+                  ) : null}
+                </div>
+              )}
+            </div>
+            <p className="text-sm text-gray-600">
               {selectedTema
-                ? `Tema actual: ${selectedTema}`
+                ? `${totalFiles} archivo${totalFiles !== 1 ? "s" : ""}`
-                : "Todos los archivos"}
+                : "Selecciona un dataroom de la barra lateral para ver sus archivos"}
-            </h2>
-            <p className="mt-1 text-sm text-gray-600">
-              {totalFiles} archivo{totalFiles !== 1 ? "s" : ""}
             </p>
           </div>
         </div>
@@ -422,9 +528,11 @@ export function Dashboard({ onProcessingChange }: DashboardProps = {}) {
               <div className="flex flex-col items-center justify-center h-64">
                 <FileText className="w-12 h-12 text-gray-400 mb-4" />
                 <p className="text-gray-500">
-                  {searchTerm
+                  {!selectedTema
-                    ? "No se encontraron archivos"
+                    ? "Selecciona un dataroom para ver sus archivos"
-                    : "No hay archivos en este tema"}
+                    : searchTerm
+                      ? "No se encontraron archivos"
+                      : "No hay archivos en este dataroom"}
                 </p>
               </div>
             ) : (
@@ -579,14 +687,6 @@ export function Dashboard({ onProcessingChange }: DashboardProps = {}) {
         onDownload={handleDownloadFromPreview}
       />
 
-      {/* Collection Verifier - Verifica/crea colección cuando se selecciona un tema */}
-      <CollectionVerifier
-        tema={selectedTema}
-        onVerified={(exists) => {
-          console.log(`Collection ${selectedTema} exists: ${exists}`);
-        }}
-      />
-
       {/* Chunk Viewer Modal */}
       <ChunkViewerModal
         isOpen={chunkViewerOpen}

frontend/src/components/Sidebar.tsx

@@ -92,14 +92,11 @@ export function Sidebar({
     setCreateError(null);
 
     try {
-      console.log("Creating dataroom:", trimmed);
       const result = await api.createDataroom({ name: trimmed });
-      console.log("Dataroom created successfully:", result);
 
       // Refresh the datarooms list (this will load all datarooms including the new one)
-      console.log("Refreshing dataroom list...");
+
       await loadTemas();
-      console.log("Dataroom list refreshed");
 
       // Select the newly created dataroom
       setSelectedTema(trimmed);
@@ -126,7 +123,6 @@ export function Sidebar({
     try {
       setLoading(true);
       const response = await api.getDatarooms();
-      console.log("Raw datarooms response:", response);
 
       // Extract dataroom names from the response with better error handling
       let dataroomNames: string[] = [];
@@ -137,18 +133,23 @@ export function Sidebar({
       }
 
       setTemas(dataroomNames);
-      console.log("Loaded datarooms:", dataroomNames);
+      // Auto-select first dataroom if none is selected and datarooms are available
+      if (!selectedTema && dataroomNames.length > 0) {
+        setSelectedTema(dataroomNames[0]);
+      }
     } catch (error) {
       console.error("Error loading datarooms:", error);
       // Fallback to legacy getTemas if dataroom endpoint fails
       try {
-        console.log("Falling back to legacy getTemas endpoint");
         const legacyResponse = await api.getTemas();
         const legacyTemas = Array.isArray(legacyResponse?.temas)
           ? legacyResponse.temas.filter(Boolean)
           : [];
         setTemas(legacyTemas);
-        console.log("Loaded legacy temas:", legacyTemas);
+        // Auto-select first legacy tema if none is selected
+        if (!selectedTema && legacyTemas.length > 0) {
+          setSelectedTema(legacyTemas[0]);
+        }
       } catch (legacyError) {
         console.error("Error loading legacy temas:", legacyError);
         // Ensure we always set an array, never undefined or null
@@ -186,11 +187,9 @@ export function Sidebar({
       // 1. Delete the dataroom (this will also delete the vector collection)
       try {
         await api.deleteDataroom(tema);
-        console.log(`Dataroom "${tema}" deleted successfully`);
       } catch (error) {
         console.error(`Error deleting dataroom "${tema}":`, error);
         // If dataroom deletion fails, fall back to legacy deletion
-        console.log("Falling back to legacy deletion methods");
 
         // Eliminar todos los archivos del tema en Azure Blob Storage
         await api.deleteTema(tema);
@@ -200,7 +199,6 @@ export function Sidebar({
           const collectionExists = await api.checkCollectionExists(tema);
           if (collectionExists.exists) {
             await api.deleteCollection(tema);
-            console.log(`Colección "${tema}" eliminada de Qdrant`);
           }
         } catch (collectionError) {
           console.warn(
@@ -229,28 +227,28 @@ export function Sidebar({
 
   return (
     <TooltipProvider delayDuration={100}>
-      <div className="bg-white border-r border-gray-200 flex flex-col h-full transition-[width] duration-300">
+      <div className="bg-slate-800 border-r border-slate-700 flex flex-col h-full transition-[width] duration-300">
         {/* Header */}
         <div
           className={cn(
-            "border-b border-gray-200 flex items-center gap-3",
+            "border-b border-slate-700 flex items-center gap-3",
             collapsed ? "p-4" : "p-6",
           )}
         >
           <div
             className={cn(
-              "flex items-center gap-2 text-gray-900 flex-1",
+              "flex items-center gap-2 text-slate-100 flex-1",
               collapsed ? "justify-center" : "justify-start",
             )}
           >
             <FileText className="h-6 w-6" />
-            {!collapsed && <h1 className="text-xl font-semibold">DoRa Luma</h1>}
+            {!collapsed && <h1 className="text-xl font-semibold">Luma</h1>}
           </div>
           {onToggleCollapse && (
             <Button
               variant="ghost"
               size="icon"
-              className="text-gray-500 hover:text-gray-900"
+              className="text-slate-400 hover:text-slate-100"
               onClick={onToggleCollapse}
               disabled={disabled}
               aria-label={
@@ -277,7 +275,7 @@ export function Sidebar({
             >
               <h2
                 className={cn(
-                  "text-sm font-medium text-gray-500",
+                  "text-sm font-medium text-slate-300",
                   collapsed && "text-xs text-center",
                 )}
               >
@@ -286,10 +284,10 @@ export function Sidebar({
               {renderWithTooltip(
                 "Crear dataroom",
                 <Button
-                  variant="outline"
+                  variant="ghost"
                   size="sm"
                   className={cn(
-                    "gap-2",
+                    "gap-2 bg-slate-700/50 text-slate-200 hover:bg-slate-600 hover:text-slate-100 border border-slate-600",
                     collapsed
                       ? "h-10 w-10 p-0 justify-center rounded-full"
                       : "",
@@ -303,28 +301,9 @@ export function Sidebar({
               )}
             </div>
 
-            {/* Todos los archivos */}
-            {renderWithTooltip(
-              "Todos los archivos",
-              <Button
-                variant={selectedTema === null ? "secondary" : "ghost"}
-                className={cn(
-                  "w-full justify-start",
-                  collapsed && "px-0 justify-center",
-                )}
-                onClick={() => handleTemaSelect(null)}
-                disabled={disabled}
-              >
-                <FolderIcon className={cn("h-4 w-4", !collapsed && "mr-2")} />
-                <span className={cn("truncate", collapsed && "sr-only")}>
-                  Todos los archivos
-                </span>
-              </Button>,
-            )}
-
             {/* Lista de temas */}
             {loading ? (
-              <div className="text-sm text-gray-500 px-3 py-2 text-center">
+              <div className="text-sm text-slate-400 px-3 py-2 text-center">
                 {collapsed ? "..." : "Cargando..."}
               </div>
             ) : Array.isArray(temas) && temas.length > 0 ? (
@@ -335,7 +314,8 @@ export function Sidebar({
                     <Button
                       variant={selectedTema === tema ? "secondary" : "ghost"}
                       className={cn(
-                        "w-full justify-start",
+                        "w-full justify-start text-slate-300 hover:bg-slate-700 hover:text-slate-100",
+                        selectedTema === tema && "bg-slate-700 text-slate-100",
                         collapsed ? "px-0 justify-center" : "pr-10",
                       )}
                       onClick={() => handleTemaSelect(tema)}
@@ -353,16 +333,16 @@ export function Sidebar({
                     <button
                       onClick={(e) => handleDeleteTema(tema, e)}
                       disabled={deletingTema === tema || disabled}
-                      className="absolute right-2 top-1/2 -translate-y-1/2 p-1.5 rounded hover:bg-red-100 opacity-0 group-hover:opacity-100 transition-opacity disabled:opacity-50"
+                      className="absolute right-2 top-1/2 -translate-y-1/2 p-1.5 rounded hover:bg-red-500/20 opacity-0 group-hover:opacity-100 transition-opacity disabled:opacity-50"
                       title="Eliminar dataroom y colección"
                     >
-                      <Trash2 className="h-4 w-4 text-red-600" />
+                      <Trash2 className="h-4 w-4 text-red-400" />
                     </button>
                   )}
                 </div>
               ))
             ) : (
-              <div className="text-sm text-gray-500 px-3 py-2 text-center">
+              <div className="text-sm text-slate-400 px-3 py-2 text-center">
                 {Array.isArray(temas) && temas.length === 0
                   ? "No hay datarooms"
                   : "Cargando datarooms..."}
@@ -374,7 +354,7 @@ export function Sidebar({
         {/* Footer */}
         <div
           className={cn(
-            "p-4 border-t border-gray-200 space-y-2",
+            "p-4 border-t border-slate-700 space-y-2",
             collapsed && "flex flex-col items-center gap-2",
           )}
         >
@@ -387,7 +367,7 @@ export function Sidebar({
                 onClick={onNavigateToSchemas}
                 disabled={disabled}
                 className={cn(
-                  "w-full justify-start",
+                  "w-full justify-start bg-slate-700 text-slate-100 hover:bg-slate-600",
                   collapsed && "px-0 justify-center",
                 )}
               >
@@ -400,12 +380,12 @@ export function Sidebar({
           {renderWithTooltip(
             "Actualizar datarooms",
             <Button
-              variant="outline"
+              variant="ghost"
               size="sm"
               onClick={loadTemas}
               disabled={loading || disabled}
               className={cn(
-                "w-full justify-start",
+                "w-full justify-start bg-slate-700/50 text-slate-200 hover:bg-slate-600 hover:text-slate-100 border border-slate-600",
                 collapsed && "px-0 justify-center",
               )}
             >

frontend/src/services/api.ts

@@ -56,17 +56,9 @@ export const api = {
 
   // Obtener todos los datarooms
   getDatarooms: async (): Promise<DataroomsResponse> => {
-    console.log("Fetching datarooms from:", `${API_BASE_URL}/dataroom/`);
     const response = await fetch(`${API_BASE_URL}/dataroom/`);
-    console.log("Datarooms response status:", response.status);
+    if (!response.ok) throw new Error("Error fetching datarooms");
-    if (!response.ok) {
+    return response.json();
-      const errorText = await response.text();
-      console.error("Datarooms fetch error:", errorText);
-      throw new Error("Error fetching datarooms");
-    }
-    const data = await response.json();
-    console.log("Datarooms API response:", data);
-    return data;
   },
 
   // Crear un nuevo dataroom