diff --git a/aixplain/modules/agent/__init__.py b/aixplain/modules/agent/__init__.py
index 2f244d56..8a5cd120 100644
--- a/aixplain/modules/agent/__init__.py
+++ b/aixplain/modules/agent/__init__.py
@@ -28,6 +28,7 @@
 from aixplain.utils.file_utils import _request_with_retry
 from aixplain.enums.supplier import Supplier
 from aixplain.enums.asset_status import AssetStatus
+from aixplain.enums.storage_type import StorageType
 from aixplain.modules.model import Model
 from aixplain.modules.agent.tool import Tool
 from aixplain.modules.agent.tool.model_tool import ModelTool
@@ -96,31 +97,43 @@ def __init__(
 
     def run(
         self,
-        query: Text,
+        data: Optional[Union[Dict, Text]] = None,
+        query: Optional[Text] = None,
         session_id: Optional[Text] = None,
         history: Optional[List[Dict]] = None,
         name: Text = "model_process",
         timeout: float = 300,
         parameters: Dict = {},
         wait_time: float = 0.5,
+        content: List[Text] = [],
     ) -> Dict:
         """Runs an agent call.
 
         Args:
-            query (Text): query to be processed by the agent.
+            data (Optional[Union[Dict, Text]], optional): data to be processed by the agent. Defaults to None.
+            query (Optional[Text], optional): query to be processed by the agent. Defaults to None.
             session_id (Optional[Text], optional): conversation Session ID. Defaults to None.
             history (Optional[List[Dict]], optional): chat history (in case session ID is None). Defaults to None.
             name (Text, optional): ID given to a call. Defaults to "model_process".
             timeout (float, optional): total polling time. Defaults to 300.
             parameters (Dict, optional): optional parameters to the model. Defaults to "{}".
             wait_time (float, optional): wait time in seconds between polling calls. Defaults to 0.5.
+            content (List[Text], optional): Content inputs to be processed according to the query. Defaults to [].
 
         Returns:
             Dict: parsed output from model
         """
         start = time.time()
         try:
-            response = self.run_async(query=query, session_id=session_id, history=history, name=name, parameters=parameters)
+            response = self.run_async(
+                data=data,
+                query=query,
+                session_id=session_id,
+                history=history,
+                name=name,
+                parameters=parameters,
+                content=content,
+            )
             if response["status"] == "FAILED":
                 end = time.time()
                 response["elapsed_time"] = end - start
@@ -137,27 +150,55 @@ def run(
 
     def run_async(
         self,
-        query: Text,
+        data: Optional[Union[Dict, Text]] = None,
+        query: Optional[Text] = None,
         session_id: Optional[Text] = None,
         history: Optional[List[Dict]] = None,
         name: Text = "model_process",
         parameters: Dict = {},
+        content: List[Text] = [],
     ) -> Dict:
         """Runs asynchronously an agent call.
 
         Args:
-            query (Text): query to be processed by the agent.
+            data (Optional[Union[Dict, Text]], optional): data to be processed by the agent. Defaults to None.
+            query (Optional[Text], optional): query to be processed by the agent. Defaults to None.
             session_id (Optional[Text], optional): conversation Session ID. Defaults to None.
             history (Optional[List[Dict]], optional): chat history (in case session ID is None). Defaults to None.
             name (Text, optional): ID given to a call. Defaults to "model_process".
             parameters (Dict, optional): optional parameters to the model. Defaults to "{}".
+            content (List[Text], optional): Content inputs to be processed according to the query. Defaults to [].
 
         Returns:
             dict: polling URL in response
         """
-        headers = {"x-api-key": self.api_key, "Content-Type": "application/json"}
         from aixplain.factories.file_factory import FileFactory
 
+        assert data is not None or query is not None, "Either 'data' or 'query' must be provided."
+        if data is not None:
+            if isinstance(data, dict):
+                assert "query" in data and data["query"] is not None, "When providing a dictionary, 'query' must be provided."
+                query = data.get("query")
+                if session_id is None:
+                    session_id = data.get("session_id")
+                if history is None:
+                    history = data.get("history")
+                if len(content) == 0:
+                    content = data.get("content", [])
+            else:
+                query = data
+
+        # process content inputs
+        content = list(set(content))
+        if len(content) > 0:
+            assert FileFactory.check_storage_type(query) == StorageType.TEXT, "When providing 'content', query must be text."
+            assert len(content) <= 3, "The maximum number of content inputs is 3."
+            for input_link in content:
+                input_link = FileFactory.to_link(input_link)
+                query += f"\n{input_link}"
+
+        headers = {"x-api-key": self.api_key, "Content-Type": "application/json"}
+
         payload = {"id": self.id, "query": FileFactory.to_link(query), "sessionId": session_id, "history": history}
         payload.update(parameters)
         payload = json.dumps(payload)
diff --git a/tests/functional/agent/agent_functional_test.py b/tests/functional/agent/agent_functional_test.py
index 766ba386..1827ef94 100644
--- a/tests/functional/agent/agent_functional_test.py
+++ b/tests/functional/agent/agent_functional_test.py
@@ -55,7 +55,7 @@ def test_end2end(run_input_map):
     agent = AgentFactory.create(name=run_input_map["agent_name"], llm_id=run_input_map["llm_id"], tools=tools)
     print(f"Agent created: {agent.__dict__}")
     print("Running agent")
-    response = agent.run(query=run_input_map["query"])
+    response = agent.run(data=run_input_map["query"])
     print(f"Agent response: {response}")
     assert response is not None
     assert response["completed"] is True