diff --git a/README.md b/README.md
index ecac21e..641b2ba 100644
--- a/README.md
+++ b/README.md
@@ -9,6 +9,9 @@ environment variables and credentials can be loaded from a `.env` file in the ro
 data can be stored in local files or remote SQL and Vector databases. the local file storage path can be set by the `AGENT_DATA_PATH` environment variable (defaults to `./data/`).
 
 # Getting it to work
+In order to deploy the GenAI Factory locally, we need to update the docker desktop software and to enable host networking.
+For more information, please refer to the following link:
+https://docs.docker.com/network/drivers/host/#docker-desktop
 
 ## Deploy the controller
 This command will start the API controller server into a local docker container.
diff --git a/controller/src/api.py b/controller/src/api.py
index 333218d..a32c782 100644
--- a/controller/src/api.py
+++ b/controller/src/api.py
@@ -21,7 +21,7 @@
 from pydantic import BaseModel
 
 from controller.src.config import config
-from controller.src.model import ChatSession, DocCollection, OutputMode, User
+from controller.src.model import ChatSession, DocCollection, OutputMode, User, QueryItem
 from controller.src.sqlclient import client
 
 app = FastAPI()
@@ -110,7 +110,7 @@ def create_tables(drop_old: bool = False, names: list[str] = None):
 
 @router.post("/pipeline/{name}/run")
 def run_pipeline(
-    request: Request, name: str, auth=Depends(get_auth_user)
+    request: Request, item: QueryItem, name: str, auth=Depends(get_auth_user)
 ):
     """This is the query command"""
     return _send_to_application(