diff --git a/sdk/ai/azure-ai-agents/samples/agents_async/sample_agents_deep_research_async.py b/sdk/ai/azure-ai-agents/samples/agents_async/sample_agents_deep_research_async.py
index d6a14bf20932..d0845b7df840 100644
--- a/sdk/ai/azure-ai-agents/samples/agents_async/sample_agents_deep_research_async.py
+++ b/sdk/ai/azure-ai-agents/samples/agents_async/sample_agents_deep_research_async.py
@@ -39,7 +39,13 @@
 
 from azure.ai.projects.aio import AIProjectClient
 from azure.ai.agents.aio import AgentsClient
-from azure.ai.agents.models import DeepResearchTool, MessageRole, ThreadMessage
+from azure.ai.agents.models import (
+    DeepResearchTool,
+    MessageRole,
+    SubmitToolApprovalAction,
+    ThreadMessage,
+    ToolApproval,
+)
 from azure.identity.aio import DefaultAzureCredential
 
 
@@ -255,10 +261,27 @@ async def main() -> None:
         # Poll the run as long as run status is queued or in progress
         run = await agents_client.runs.create(thread_id=thread.id, agent_id=agent.id)
         last_message_id: Optional[str] = None
-        while run.status in ("queued", "in_progress"):
+        while run.status in ("queued", "in_progress", "requires_action"):
             await asyncio.sleep(1)
             run = await agents_client.runs.get(thread_id=thread.id, run_id=run.id)
 
+            if run.status == "requires_action" and isinstance(
+                run.required_action, SubmitToolApprovalAction
+            ):
+                tool_calls = run.required_action.submit_tool_approval.tool_calls
+                if not tool_calls:
+                    print("Run requested tool approval but no tool calls were provided; cancelling run.")
+                    await agents_client.runs.cancel(thread_id=thread.id, run_id=run.id)
+                    break
+
+                approvals = [ToolApproval(tool_call_id=tool_call.id, approve=True) for tool_call in tool_calls]
+                run = await agents_client.runs.submit_tool_outputs(
+                    thread_id=thread.id,
+                    run_id=run.id,
+                    tool_approvals=approvals,
+                )
+                continue
+
             last_message_id = await fetch_and_print_new_agent_response(
                 thread_id=thread.id,
                 agents_client=agents_client,
diff --git a/sdk/ai/azure-ai-agents/samples/agents_tools/sample_agents_deep_research.py b/sdk/ai/azure-ai-agents/samples/agents_tools/sample_agents_deep_research.py
index 223f64f0f122..db9ddf3dbda2 100644
--- a/sdk/ai/azure-ai-agents/samples/agents_tools/sample_agents_deep_research.py
+++ b/sdk/ai/azure-ai-agents/samples/agents_tools/sample_agents_deep_research.py
@@ -39,7 +39,13 @@
 from azure.ai.projects import AIProjectClient
 from azure.identity import DefaultAzureCredential
 from azure.ai.agents import AgentsClient
-from azure.ai.agents.models import DeepResearchTool, MessageRole, ThreadMessage
+from azure.ai.agents.models import (
+    DeepResearchTool,
+    MessageRole,
+    SubmitToolApprovalAction,
+    ThreadMessage,
+    ToolApproval,
+)
 
 
 def convert_citations_to_superscript(markdown_content):
@@ -254,10 +260,27 @@ def create_research_summary(message: ThreadMessage, filepath: str = "research_re
             # Poll the run as long as run status is queued or in progress
             run = agents_client.runs.create(thread_id=thread.id, agent_id=agent.id)
             last_message_id = None
-            while run.status in ("queued", "in_progress"):
+            while run.status in ("queued", "in_progress", "requires_action"):
                 time.sleep(1)
                 run = agents_client.runs.get(thread_id=thread.id, run_id=run.id)
 
+                if run.status == "requires_action" and isinstance(
+                    run.required_action, SubmitToolApprovalAction
+                ):
+                    tool_calls = run.required_action.submit_tool_approval.tool_calls
+                    if not tool_calls:
+                        print("Run requested tool approval but no tool calls were provided; cancelling run.")
+                        agents_client.runs.cancel(thread_id=thread.id, run_id=run.id)
+                        break
+
+                    approvals = [ToolApproval(tool_call_id=tool_call.id, approve=True) for tool_call in tool_calls]
+                    run = agents_client.runs.submit_tool_outputs(
+                        thread_id=thread.id,
+                        run_id=run.id,
+                        tool_approvals=approvals,
+                    )
+                    continue
+
                 last_message_id = fetch_and_print_new_agent_response(
                     thread_id=thread.id,
                     agents_client=agents_client,