diff --git a/src/great_ai/great_ai/deploy/great_ai.py b/src/great_ai/great_ai/deploy/great_ai.py
index d438926..0f306e6 100644
--- a/src/great_ai/great_ai/deploy/great_ai.py
+++ b/src/great_ai/great_ai/deploy/great_ai.py
@@ -95,7 +95,7 @@ class GreatAI(Generic[T]):
         func: Optional[Callable[..., T]] = None,
         *,
         version: str = "0.0.1",
-        return_raw_result: bool =False,
+        return_raw_result: bool = False,
         disable_rest_api: bool = False,
         disable_docs: bool = False,
         disable_dashboard: bool = False,
@@ -112,7 +112,9 @@ class GreatAI(Generic[T]):
                 ),
             )
 
-        instance = GreatAI[T](func, version=version, return_raw_result=return_raw_result)
+        instance = GreatAI[T](
+            func, version=version, return_raw_result=return_raw_result
+        )
 
         if not disable_rest_api:
             instance._bootstrap_rest_api(
diff --git a/src/great_ai/great_ai/remote/call_remote_great_ai.py b/src/great_ai/great_ai/remote/call_remote_great_ai.py
index cd03251..6b3e436 100644
--- a/src/great_ai/great_ai/remote/call_remote_great_ai.py
+++ b/src/great_ai/great_ai/remote/call_remote_great_ai.py
@@ -1,5 +1,5 @@
 import asyncio
-from typing import Any, Mapping, Optional, TypeVar
+from typing import Any, Mapping, Optional, Type, TypeVar
 
 from pydantic import BaseModel
 
@@ -9,9 +9,14 @@ from .call_remote_great_ai_async import call_remote_great_ai_async
 
 logger = get_logger("call_remote_great_ai")
 
-T = TypeVar("T", BaseModel)
+T = TypeVar("T", bound=BaseModel)
+
+
 def call_remote_great_ai(
-    base_uri: str, data: Mapping[str, Any], retry_count: int = 4, model_class:Optional[Type[T]]=None
+    base_uri: str,
+    data: Mapping[str, Any],
+    retry_count: int = 4,
+    model_class: Optional[Type[T]] = None,
 ) -> Trace[T]:
     try:
         asyncio.get_running_loop()
@@ -22,7 +27,7 @@ def call_remote_great_ai(
         pass
 
     future = call_remote_great_ai_async(
-        base_uri=base_uri, data=data, retry_count=retry_count,model_class=model_class
+        base_uri=base_uri, data=data, retry_count=retry_count, model_class=model_class
     )
 
     return asyncio.run(future)
diff --git a/src/great_ai/great_ai/remote/call_remote_great_ai_async.py b/src/great_ai/great_ai/remote/call_remote_great_ai_async.py
index 95dbbb2..7604be7 100644
--- a/src/great_ai/great_ai/remote/call_remote_great_ai_async.py
+++ b/src/great_ai/great_ai/remote/call_remote_great_ai_async.py
@@ -8,10 +8,14 @@ from .remote_call_error import RemoteCallError
 
 http: Optional[HttpClient] = None
 
-T = TypeVar("T", BaseModel)
+T = TypeVar("T", bound=BaseModel)
+
 
 async def call_remote_great_ai_async(
-    base_uri: str, data: Mapping[str, Any], retry_count: int = 4, model_class:Optional[Type[T]]=None
+    base_uri: str,
+    data: Mapping[str, Any],
+    retry_count: int = 4,
+    model_class: Optional[Type[T]] = None,
 ) -> Trace[T]:
     global http
     if http is None:
@@ -27,7 +31,7 @@ async def call_remote_great_ai_async(
 
     try:
         if model_class is not None:
-            response['output'] = model_class.parse_obj(response['output'])
+            response["output"] = model_class.parse_obj(response["output"])
         return Trace.parse_obj(response)
     except Exception:
         raise RemoteCallError("Could not parse response")