first and real commit

api/api.py

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+from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
+from api.routes.root import router as rootRouter
+from api.routes.ai import router as aiRouter
+
+
+application = FastAPI()
+
+application.add_middleware(CORSMiddleware,
+                           allow_origins=['*'],
+                           allow_credentials=True,
+                           allow_headers=['*'],
+                           allow_methods=['GET','POST'])
+
+
+application.include_router(router=rootRouter, prefix='')
+application.include_router(router=aiRouter, prefix='/ai')

api/routes/ai.py

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+import anthropic, json
+from fastapi import APIRouter, HTTPException
+from fastapi.responses import StreamingResponse
+from dotenv import load_dotenv
+from os import getenv
+
+router = APIRouter()
+
+load_dotenv(".env_file")
+client = anthropic.Anthropic(api_key=getenv('CLAUDE_KEY'))
+
+with open('/home/rodo/Documents/py/LittleAPI/list.json', 'r') as f:
+    config = json.load(f)
+    pdf_file_ids = config.get("files", [])
+
+@router.post("/using_docs", tags=["AI"])
+async def send_message_using_docs(message:str):
+    """
+    Envía un mensaje usando documentos PDF almacenados.
+    
+    - **message**: El mensaje de texto a procesar
+    - **Retorna**: Stream de texto con la respuesta de Claude
+    """
+    try:
+        content = [
+            {
+                "type": "text",
+                "text": message
+            }
+        ]
+
+        for file_id in pdf_file_ids:
+            content.append(
+                {
+                    "type": "document",
+                    "source" : {
+                        "type" : "file",
+                        "file_id": file_id
+                    }
+                }
+            )
+
+        def event_generator():
+            with client.beta.messages.stream(
+                model="claude-haiku-4-5",
+                max_tokens=2048,
+                messages=[{
+                    "role": "user",
+                    "content": content
+                }],
+                betas=["files-api-2025-04-14"],
+            ) as stream:
+                for text in stream.text_stream:
+                    yield text
+        return StreamingResponse(event_generator(), media_type="text/plain")
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+@router.post("/", tags=["AI"])
+async def send_message(message:str):
+    """
+    Envía un mensaje normal a Claude.
+    
+    - **message**: El mensaje de texto a procesar
+    - **Retorna**: Stream de texto con la respuesta de Claude
+    """
+    try:
+        content = [
+            {
+                "type": "text",
+                "text": message
+            }
+        ]
+
+        def event_generator():
+            with client.beta.messages.stream(
+                model="claude-haiku-4-5",
+                max_tokens=512,
+                messages=[{
+                    "role": "user",
+                    "content": content
+                }],
+            ) as stream:
+                for text in stream.text_stream:
+                    yield text
+
+        return StreamingResponse(event_generator(), media_type="text/plain")
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))

api/routes/root.py

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+from fastapi import APIRouter
+
+router = APIRouter()
+
+@router.get('/', tags=["root"])
+def root():
+    return {
+        "status": "running"
+    }