diff --git a/python/packages/core/agent_framework/_types.py b/python/packages/core/agent_framework/_types.py
index 584c1f0110..db132b3b2e 100644
--- a/python/packages/core/agent_framework/_types.py
+++ b/python/packages/core/agent_framework/_types.py
@@ -1877,8 +1877,11 @@ def _process_update(response: ChatResponse | AgentResponse, update: ChatResponse
             response.conversation_id = update.conversation_id
         if update.finish_reason is not None:
             response.finish_reason = update.finish_reason
-        if update.model is not None:
-            response.model = update.model
+        if update.model_id is not None:
+            response.model_id = update.model_id
+    if isinstance(response, AgentResponse) and isinstance(update, AgentResponseUpdate):
+        if update.finish_reason is not None:
+            response.finish_reason = update.finish_reason
     response.continuation_token = update.continuation_token
 
 
@@ -2435,6 +2438,7 @@ def __init__(
         response_id: str | None = None,
         agent_id: str | None = None,
         created_at: CreatedAtT | None = None,
+        finish_reason: FinishReasonLiteral | FinishReason | None = None,
         usage_details: UsageDetails | None = None,
         value: ResponseModelT | None = None,
         response_format: StructuredResponseFormat = None,
@@ -2450,6 +2454,9 @@ def __init__(
             agent_id: The identifier of the agent that produced this response. Useful in multi-agent
                 scenarios to track which agent generated the response.
             created_at: A timestamp for the chat response.
+            finish_reason: The reason the model stopped generating. Common values include
+                ``"stop"`` (natural completion), ``"length"`` (token limit), and
+                ``"tool_calls"`` (the model invoked a tool).
             usage_details: The usage details for the chat response.
             value: The structured output of the agent run response, if applicable.
             response_format: Optional response format for the agent response.
@@ -2476,6 +2483,7 @@ def __init__(
         self.response_id = response_id
         self.agent_id = agent_id
         self.created_at = created_at
+        self.finish_reason = finish_reason
         self.usage_details = usage_details
         self._value: ResponseModelT | None = value
         self._response_format: type[BaseModel] | Mapping[str, Any] | None = response_format
@@ -2688,6 +2696,7 @@ def __init__(
         response_id: str | None = None,
         message_id: str | None = None,
         created_at: CreatedAtT | None = None,
+        finish_reason: FinishReasonLiteral | FinishReason | None = None,
         continuation_token: ContinuationToken | None = None,
         additional_properties: dict[str, Any] | None = None,
         raw_representation: Any | None = None,
@@ -2703,6 +2712,9 @@ def __init__(
             response_id: Optional ID of the response of which this update is a part.
             message_id: Optional ID of the message of which this update is a part.
             created_at: Optional timestamp for the chat response update.
+            finish_reason: The reason the model stopped generating. Common values include
+                ``"stop"`` (natural completion), ``"length"`` (token limit), and
+                ``"tool_calls"`` (the model invoked a tool).
             continuation_token: Optional token for resuming a long-running background operation.
                 When present, indicates the operation is still in progress.
             additional_properties: Optional additional properties associated with the chat response update.
@@ -2729,6 +2741,7 @@ def __init__(
         self.response_id = response_id
         self.message_id = message_id
         self.created_at = created_at
+        self.finish_reason = finish_reason
         self.continuation_token = continuation_token
         self.additional_properties = _restore_compaction_annotation_in_additional_properties(
             additional_properties,
@@ -2761,6 +2774,7 @@ def map_chat_to_agent_update(update: ChatResponseUpdate, agent_name: str | None)
         response_id=update.response_id,
         message_id=update.message_id,
         created_at=update.created_at,
+        finish_reason=update.finish_reason,
         continuation_token=update.continuation_token,
         additional_properties=update.additional_properties,
         raw_representation=update,
diff --git a/python/packages/core/tests/core/test_types.py b/python/packages/core/tests/core/test_types.py
index cf945dae0e..4298563209 100644
--- a/python/packages/core/tests/core/test_types.py
+++ b/python/packages/core/tests/core/test_types.py
@@ -40,8 +40,10 @@
     _get_data_bytes_as_str,
     _parse_content_list,
     _parse_structured_response_value,
+    _process_update,
     _validate_uri,
     add_usage_details,
+    map_chat_to_agent_update,
     validate_tool_mode,
 )
 from agent_framework.exceptions import AdditionItemMismatch, ContentError
@@ -4179,3 +4181,101 @@ def test_prepend_instructions_custom_role():
 
 
 # endregion
+
+
+# region finish_reason
+
+
+def test_agent_response_init_with_finish_reason() -> None:
+    """Test that AgentResponse correctly initializes and stores finish_reason."""
+    response = AgentResponse(
+        messages=[Message("assistant", [Content.from_text("test")])],
+        finish_reason="stop",
+    )
+    assert response.finish_reason == "stop"
+
+
+def test_agent_response_update_init_with_finish_reason() -> None:
+    """Test that AgentResponseUpdate correctly initializes and stores finish_reason."""
+    update = AgentResponseUpdate(
+        contents=[Content.from_text("test")],
+        role="assistant",
+        finish_reason="stop",
+    )
+    assert update.finish_reason == "stop"
+
+
+def test_map_chat_to_agent_update_forwards_finish_reason() -> None:
+    """Test that mapping a ChatResponseUpdate with finish_reason forwards it."""
+    chat_update = ChatResponseUpdate(
+        contents=[Content.from_text("test")],
+        finish_reason="length",
+    )
+    agent_update = map_chat_to_agent_update(chat_update, agent_name="test_agent")
+
+    assert agent_update.finish_reason == "length"
+    assert agent_update.author_name == "test_agent"
+
+
+def test_process_update_propagates_finish_reason_to_agent_response() -> None:
+    """Test that _process_update correctly updates an AgentResponse from an AgentResponseUpdate."""
+    response = AgentResponse(messages=[Message("assistant", [Content.from_text("test")])])
+    update = AgentResponseUpdate(
+        contents=[Content.from_text("more text")],
+        role="assistant",
+        finish_reason="stop",
+    )
+
+    # Process the update
+    _process_update(response, update)
+
+    assert response.finish_reason == "stop"
+
+
+def test_process_update_does_not_overwrite_with_none() -> None:
+    """Test that _process_update does not overwrite an existing finish_reason with None."""
+    response = AgentResponse(
+        messages=[Message("assistant", [Content.from_text("test")])],
+        finish_reason="length",
+    )
+    update = AgentResponseUpdate(
+        contents=[Content.from_text("more text")],
+        role="assistant",
+        finish_reason=None,
+    )
+
+    # Process the update
+    _process_update(response, update)
+
+    assert response.finish_reason == "length"
+
+
+def test_agent_response_serialization_includes_finish_reason() -> None:
+    """Test that AgentResponse serializes correctly, including finish_reason."""
+    response = AgentResponse(
+        messages=[Message("assistant", [Content.from_text("test")])],
+        response_id="test_123",
+        finish_reason="stop",
+    )
+
+    # Serialize using the framework's API and verify finish_reason is included.
+    data = response.to_dict()
+    assert "finish_reason" in data
+    assert data["finish_reason"] == "stop"
+
+
+def test_agent_response_update_serialization_includes_finish_reason() -> None:
+    """Test that AgentResponseUpdate serializes correctly, including finish_reason."""
+    update = AgentResponseUpdate(
+        contents=[Content.from_text("test")],
+        role="assistant",
+        response_id="test_456",
+        finish_reason="tool_calls",
+    )
+
+    data = update.to_dict()
+    assert "finish_reason" in data
+    assert data["finish_reason"] == "tool_calls"
+
+
+# endregion