diff --git a/src/transformers/__init__.py b/src/transformers/__init__.py
index 3b7a3a59a7a80e..f1d5881f161e25 100755
--- a/src/transformers/__init__.py
+++ b/src/transformers/__init__.py
@@ -67,6 +67,7 @@
         "ToolCollection",
         "launch_gradio_demo",
         "load_tool",
+        "stream_from_transformers_agent",
     ],
     "audio_utils": [],
     "benchmark": [],
@@ -4730,6 +4731,7 @@
         ToolCollection,
         launch_gradio_demo,
         load_tool,
+        stream_from_transformers_agent,
     )
     from .configuration_utils import PretrainedConfig
 
diff --git a/src/transformers/agents/__init__.py b/src/transformers/agents/__init__.py
index 672977f98812c5..1f2be3b3cf7bf7 100644
--- a/src/transformers/agents/__init__.py
+++ b/src/transformers/agents/__init__.py
@@ -27,6 +27,7 @@
     "agents": ["Agent", "CodeAgent", "ReactAgent", "ReactCodeAgent", "ReactJsonAgent", "Toolbox"],
     "llm_engine": ["HfEngine"],
     "tools": ["PipelineTool", "Tool", "ToolCollection", "launch_gradio_demo", "load_tool"],
+    "monitoring": ["stream_from_transformers_agent"],
 }
 
 try:
@@ -46,6 +47,7 @@
     from .agents import Agent, CodeAgent, ReactAgent, ReactCodeAgent, ReactJsonAgent, Toolbox
     from .llm_engine import HfEngine
     from .tools import PipelineTool, Tool, ToolCollection, launch_gradio_demo, load_tool
+    from .monitoring import stream_from_transformers_agent
 
     try:
         if not is_torch_available():
diff --git a/src/transformers/agents/monitoring.py b/src/transformers/agents/monitoring.py
index 6b78de184d79fe..b1ab66119b5a76 100644
--- a/src/transformers/agents/monitoring.py
+++ b/src/transformers/agents/monitoring.py
@@ -46,8 +46,8 @@ def pull_message(step_log: dict):
         )
 
 
-def stream_from_transformers_agent(agent: ReactAgent, prompt: str):
-    """Runs an agent with the given prompt and streams the messages from the agent as ChatMessages."""
+def stream_from_transformers_agent(agent: ReactAgent, task: str, **kwargs):
+    """Runs an agent with the given task and streams the messages from the agent as gradio ChatMessages."""
 
     try:
         from gradio import ChatMessage
@@ -57,7 +57,7 @@ def stream_from_transformers_agent(agent: ReactAgent, prompt: str):
     class Output:
         output: AgentType | str = None
 
-    for step_log in agent.run(prompt, stream=True):
+    for step_log in agent.run(task, stream=True, **kwargs):
         if isinstance(step_log, dict):
             for message in pull_message(step_log):
                 print("message", message)
@@ -77,4 +77,4 @@ class Output:
             content={"path": Output.output.to_string(), "mime_type": "audio/wav"},
         )
     else:
-        return ChatMessage(role="assistant", content=Output.output)
+        yield ChatMessage(role="assistant", content=Output.output)