diff --git a/src/strands/agent/agent.py b/src/strands/agent/agent.py
index bb602d66b..4579ebacf 100644
--- a/src/strands/agent/agent.py
+++ b/src/strands/agent/agent.py
@@ -514,8 +514,11 @@ async def structured_output_async(self, output_model: Type[T], prompt: AgentInpu
                     )
                 events = self.model.structured_output(output_model, temp_messages, system_prompt=self.system_prompt)
                 async for event in events:
-                    if "callback" in event:
-                        self.callback_handler(**cast(dict, event["callback"]))
+                    if isinstance(event, TypedEvent):
+                        event.prepare(invocation_state={})
+                        if event.is_callback_event:
+                            self.callback_handler(**event.as_dict())
+
                 structured_output_span.add_event(
                     "gen_ai.choice", attributes={"message": serialize(event["output"].model_dump())}
                 )
diff --git a/tests/strands/agent/hooks/test_agent_events.py b/tests/strands/agent/hooks/test_agent_events.py
index 01bfc5409..ea2c817fc 100644
--- a/tests/strands/agent/hooks/test_agent_events.py
+++ b/tests/strands/agent/hooks/test_agent_events.py
@@ -3,10 +3,12 @@
 from unittest.mock import ANY, MagicMock, call
 
 import pytest
+from pydantic import BaseModel
 
 import strands
 from strands import Agent
 from strands.agent import AgentResult
+from strands.models import BedrockModel
 from strands.types._events import TypedEvent
 from strands.types.exceptions import ModelThrottledException
 from tests.fixtures.mocked_model_provider import MockedModelProvider
@@ -440,3 +442,132 @@ async def test_event_loop_cycle_text_response_throttling_early_end(
     # Ensure that all events coming out of the agent are *not* typed events
     typed_events = [event for event in tru_events if isinstance(event, TypedEvent)]
     assert typed_events == []
+
+
+@pytest.mark.asyncio
+async def test_structured_output(agenerator):
+    # we use bedrock here as it uses the tool implementation
+    model = BedrockModel()
+    model.stream = MagicMock()
+    model.stream.return_value = agenerator(
+        [
+            {
+                "contentBlockStart": {
+                    "start": {"toolUse": {"toolUseId": "tooluse_efwXnrK_S6qTyxzcq1IUMQ", "name": "Person"}},
+                    "contentBlockIndex": 0,
+                }
+            },
+            {"contentBlockDelta": {"delta": {"toolUse": {"input": ""}}, "contentBlockIndex": 0}},
+            {"contentBlockDelta": {"delta": {"toolUse": {"input": '{"na'}}, "contentBlockIndex": 0}},
+            {"contentBlockDelta": {"delta": {"toolUse": {"input": 'me"'}}, "contentBlockIndex": 0}},
+            {"contentBlockDelta": {"delta": {"toolUse": {"input": ': "J'}}, "contentBlockIndex": 0}},
+            {"contentBlockDelta": {"delta": {"toolUse": {"input": 'ohn"'}}, "contentBlockIndex": 0}},
+            {"contentBlockDelta": {"delta": {"toolUse": {"input": ', "age": 3'}}, "contentBlockIndex": 0}},
+            {"contentBlockDelta": {"delta": {"toolUse": {"input": "1}"}}, "contentBlockIndex": 0}},
+            {"contentBlockStop": {"contentBlockIndex": 0}},
+            {"messageStop": {"stopReason": "tool_use"}},
+            {
+                "metadata": {
+                    "usage": {"inputTokens": 407, "outputTokens": 53, "totalTokens": 460},
+                    "metrics": {"latencyMs": 1572},
+                }
+            },
+        ]
+    )
+
+    mock_callback = unittest.mock.Mock()
+    agent = Agent(model=model, callback_handler=mock_callback)
+
+    class Person(BaseModel):
+        name: str
+        age: float
+
+    await agent.structured_output_async(Person, "John is 31")
+
+    exp_events = [
+        {
+            "event": {
+                "contentBlockStart": {
+                    "start": {"toolUse": {"toolUseId": "tooluse_efwXnrK_S6qTyxzcq1IUMQ", "name": "Person"}},
+                    "contentBlockIndex": 0,
+                }
+            }
+        },
+        {"event": {"contentBlockDelta": {"delta": {"toolUse": {"input": ""}}, "contentBlockIndex": 0}}},
+        {
+            "delta": {"toolUse": {"input": ""}},
+            "current_tool_use": {
+                "toolUseId": "tooluse_efwXnrK_S6qTyxzcq1IUMQ",
+                "name": "Person",
+                "input": {"name": "John", "age": 31},
+            },
+        },
+        {"event": {"contentBlockDelta": {"delta": {"toolUse": {"input": '{"na'}}, "contentBlockIndex": 0}}},
+        {
+            "delta": {"toolUse": {"input": '{"na'}},
+            "current_tool_use": {
+                "toolUseId": "tooluse_efwXnrK_S6qTyxzcq1IUMQ",
+                "name": "Person",
+                "input": {"name": "John", "age": 31},
+            },
+        },
+        {"event": {"contentBlockDelta": {"delta": {"toolUse": {"input": 'me"'}}, "contentBlockIndex": 0}}},
+        {
+            "delta": {"toolUse": {"input": 'me"'}},
+            "current_tool_use": {
+                "toolUseId": "tooluse_efwXnrK_S6qTyxzcq1IUMQ",
+                "name": "Person",
+                "input": {"name": "John", "age": 31},
+            },
+        },
+        {"event": {"contentBlockDelta": {"delta": {"toolUse": {"input": ': "J'}}, "contentBlockIndex": 0}}},
+        {
+            "delta": {"toolUse": {"input": ': "J'}},
+            "current_tool_use": {
+                "toolUseId": "tooluse_efwXnrK_S6qTyxzcq1IUMQ",
+                "name": "Person",
+                "input": {"name": "John", "age": 31},
+            },
+        },
+        {"event": {"contentBlockDelta": {"delta": {"toolUse": {"input": 'ohn"'}}, "contentBlockIndex": 0}}},
+        {
+            "delta": {"toolUse": {"input": 'ohn"'}},
+            "current_tool_use": {
+                "toolUseId": "tooluse_efwXnrK_S6qTyxzcq1IUMQ",
+                "name": "Person",
+                "input": {"name": "John", "age": 31},
+            },
+        },
+        {"event": {"contentBlockDelta": {"delta": {"toolUse": {"input": ', "age": 3'}}, "contentBlockIndex": 0}}},
+        {
+            "delta": {"toolUse": {"input": ', "age": 3'}},
+            "current_tool_use": {
+                "toolUseId": "tooluse_efwXnrK_S6qTyxzcq1IUMQ",
+                "name": "Person",
+                "input": {"name": "John", "age": 31},
+            },
+        },
+        {"event": {"contentBlockDelta": {"delta": {"toolUse": {"input": "1}"}}, "contentBlockIndex": 0}}},
+        {
+            "delta": {"toolUse": {"input": "1}"}},
+            "current_tool_use": {
+                "toolUseId": "tooluse_efwXnrK_S6qTyxzcq1IUMQ",
+                "name": "Person",
+                "input": {"name": "John", "age": 31},
+            },
+        },
+        {"event": {"contentBlockStop": {"contentBlockIndex": 0}}},
+        {"event": {"messageStop": {"stopReason": "tool_use"}}},
+        {
+            "event": {
+                "metadata": {
+                    "usage": {"inputTokens": 407, "outputTokens": 53, "totalTokens": 460},
+                    "metrics": {"latencyMs": 1572},
+                }
+            }
+        },
+    ]
+
+    exp_calls = [call(**event) for event in exp_events]
+    act_calls = mock_callback.call_args_list
+    assert act_calls == exp_calls