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Python: fix(ag-ui): properly handle json serialize with handoff workflows as agent (#3275)
* fix(ag-ui): properly handle json serialize with handoff workflows as agent * Other improvements around handling non-serializable objects
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@@ -825,3 +825,93 @@ async def test_tool_result_with_model_dump_objects():
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assert events[1].type == "TOOL_CALL_RESULT"
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# Should be properly serialized JSON array without double escaping
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assert events[1].content == '[{"value": 1}, {"value": 2}]'
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async def test_function_call_with_dataclass_arguments():
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"""Test FunctionCallContent with dataclass arguments is serialized correctly.
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This test verifies the fix for the AG-UI JSON serialization error when
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HandoffAgentUserRequest (a dataclass) is passed as FunctionCallContent.arguments.
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"""
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from dataclasses import dataclass
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from agent_framework_ag_ui._events import AgentFrameworkEventBridge
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@dataclass
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class TestRequest:
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field1: str
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field2: int
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bridge = AgentFrameworkEventBridge(run_id="test_run", thread_id="test_thread")
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# FunctionCallContent with a dataclass as arguments (not a string)
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update = AgentResponseUpdate(
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contents=[
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Content.from_function_call(
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name="request_info",
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call_id="call_dataclass",
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arguments=TestRequest(field1="value", field2=42),
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)
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]
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)
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events = await bridge.from_agent_run_update(update)
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# Should have ToolCallStartEvent and ToolCallArgsEvent
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tool_args_events = [e for e in events if e.type == "TOOL_CALL_ARGS"]
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assert len(tool_args_events) == 1
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# Verify the delta is valid JSON
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delta = tool_args_events[0].delta
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parsed = json.loads(delta)
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assert parsed == {"field1": "value", "field2": 42}
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async def test_function_call_with_nested_dataclass_arguments():
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"""Test FunctionCallContent with nested dataclass arguments is serialized correctly.
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This test covers the scenario where HandoffAgentUserRequest contains an AgentResponse
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with nested content objects.
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"""
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from dataclasses import dataclass
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from agent_framework_ag_ui._events import AgentFrameworkEventBridge
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@dataclass
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class InnerContent:
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text: str
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@dataclass
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class AgentResponseMock:
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contents: list[InnerContent]
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@dataclass
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class HandoffRequest:
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agent_response: AgentResponseMock
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bridge = AgentFrameworkEventBridge(run_id="test_run", thread_id="test_thread")
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# Simulate a HandoffAgentUserRequest-like structure
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update = AgentResponseUpdate(
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contents=[
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Content.from_function_call(
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name="request_info",
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call_id="call_nested",
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arguments=HandoffRequest(
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agent_response=AgentResponseMock(contents=[InnerContent(text="Hello from agent")])
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),
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)
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]
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)
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events = await bridge.from_agent_run_update(update)
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# Should have ToolCallStartEvent and ToolCallArgsEvent
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tool_args_events = [e for e in events if e.type == "TOOL_CALL_ARGS"]
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assert len(tool_args_events) == 1
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# Verify the delta is valid JSON and contains nested structure
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delta = tool_args_events[0].delta
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parsed = json.loads(delta)
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assert "agent_response" in parsed
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assert parsed["agent_response"]["contents"] == [{"text": "Hello from agent"}]
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@@ -642,3 +642,51 @@ def test_agent_framework_to_agui_function_result_multiple_text_contents():
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agui_msg = messages[0]
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# Multiple items should return JSON array
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assert agui_msg["content"] == '["First result", "Second result"]'
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def test_agui_tool_approval_with_dataclass_modified_args():
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"""Test that agui_messages_to_agent_framework handles dataclass in modified args.
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This tests the fix for json.dumps() serialization errors at line 274
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when modified_args contains non-serializable objects via make_json_safe.
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"""
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from dataclasses import dataclass
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@dataclass
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class ModifiedData:
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field1: str
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field2: int
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# Create AG-UI format messages that simulate tool approval flow
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# where modified args could contain a dataclass after parsing
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# First, an assistant message with a tool call (string arguments)
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assistant_msg = {
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"id": "msg-1",
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"role": "assistant",
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"content": "",
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"tool_calls": [
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{
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"id": "call-test",
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"type": "function",
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"function": {
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"name": "update_state",
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"arguments": '{"data": "original"}', # String args
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},
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}
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],
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}
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# Then a user approval message (the approval path will merge modified args)
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approval_msg = {
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"id": "msg-2",
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"role": "user",
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"content": '{"approved": true}',
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"toolCallId": "call-test",
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}
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# This should NOT raise TypeError
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result = agui_messages_to_agent_framework([assistant_msg, approval_msg])
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# Should have processed both messages without error
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assert len(result) == 2
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@@ -870,3 +870,60 @@ async def test_response_format_skip_text_content() -> None:
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# Test passes if no errors occur - verifies response_format code path
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assert len(events) > 0
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async def test_human_in_the_loop_handles_none_additional_properties() -> None:
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"""Test that HumanInTheLoopOrchestrator handles None additional_properties gracefully.
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This test ensures the null safety fix for msg.additional_properties.get() works.
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"""
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orchestrator = HumanInTheLoopOrchestrator()
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# Create a message with None additional_properties
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msg = ChatMessage(
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role="user",
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contents=[Content.from_text(text="Hello")],
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)
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# Explicitly set additional_properties to None
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msg.additional_properties = None # type: ignore[assignment]
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agent = StubAgent() # Use default StubAgent
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config = AgentConfig()
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context = TestExecutionContext(
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input_data={"messages": [{"role": "user", "content": "Hello"}]},
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agent=agent,
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config=config,
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)
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context.set_messages([msg])
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# can_handle should return False (not crash) when additional_properties is None
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result = orchestrator.can_handle(context)
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assert result is False
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async def test_default_orchestrator_handles_none_default_options() -> None:
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"""Test that DefaultOrchestrator handles None default_options gracefully.
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This test ensures the null safety fix for context.agent.default_options.get() works.
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"""
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orchestrator = DefaultOrchestrator()
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# Use StubAgent with default_options set to None
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agent = StubAgent(default_options=None)
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config = AgentConfig()
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context = TestExecutionContext(
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input_data={"messages": [{"role": "user", "content": "Hello"}]},
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agent=agent,
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config=config,
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)
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# This should NOT crash when accessing default_options.get()
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events: list[Any] = []
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async for event in orchestrator.run(context):
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events.append(event)
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# Just check a few events to verify it's working
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if len(events) > 3:
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break
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# Test passes if no AttributeError occurred
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assert True
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@@ -49,3 +49,57 @@ def test_state_context_only_when_new_user_turn() -> None:
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assert isinstance(message, ChatMessage)
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assert message.contents[0].type == "text"
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assert "Current state of the application" in message.contents[0].text
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def test_state_manager_with_dataclass_in_state() -> None:
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"""Test that state containing dataclasses can be serialized without crashing.
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This test ensures the fix for JSON serialization errors when state
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contains dataclass or other non-JSON-serializable objects.
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"""
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from dataclasses import dataclass
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@dataclass
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class UserData:
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name: str
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age: int
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state_manager = StateManager(
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state_schema={"user": {"type": "object"}},
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predict_state_config=None,
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require_confirmation=True,
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)
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# Initialize with a dataclass object in the state
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state_manager.initialize({"user": UserData(name="Alice", age=30)})
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# This should NOT raise TypeError when generating the context message
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message = state_manager.state_context_message(is_new_user_turn=True, conversation_has_tool_calls=False)
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assert message is not None
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assert isinstance(message, ChatMessage)
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# The dataclass should be serialized to JSON in the message
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assert "Alice" in message.contents[0].text
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assert "30" in message.contents[0].text
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def test_state_manager_with_pydantic_in_state() -> None:
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"""Test that state containing Pydantic models can be serialized without crashing."""
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from pydantic import BaseModel
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class UserModel(BaseModel):
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email: str
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active: bool
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state_manager = StateManager(
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state_schema={"user": {"type": "object"}},
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predict_state_config=None,
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require_confirmation=True,
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)
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# Initialize with a Pydantic model in the state
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state_manager.initialize({"user": UserModel(email="test@example.com", active=True)})
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# This should NOT raise TypeError
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message = state_manager.state_context_message(is_new_user_turn=True, conversation_has_tool_calls=False)
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assert message is not None
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assert "test@example.com" in message.contents[0].text
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@@ -122,6 +122,20 @@ def test_make_json_safe_model_dump():
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assert result == {"type": "model", "data": "dump"}
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class ToDictObject:
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"""Object with to_dict method (like SerializationMixin)."""
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def to_dict(self):
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return {"type": "serialization_mixin", "method": "to_dict"}
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def test_make_json_safe_to_dict():
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"""Test object with to_dict method (SerializationMixin pattern)."""
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obj = ToDictObject()
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result = make_json_safe(obj)
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assert result == {"type": "serialization_mixin", "method": "to_dict"}
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class DictObject:
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"""Object with dict method."""
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@@ -203,6 +217,41 @@ def test_make_json_safe_fallback():
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assert isinstance(result, dict)
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def test_make_json_safe_dataclass_with_nested_to_dict_object():
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"""Test dataclass containing a to_dict object (like HandoffAgentUserRequest with AgentResponse).
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This test verifies the fix for the AG-UI JSON serialization error when
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HandoffAgentUserRequest (a dataclass) contains an AgentResponse (SerializationMixin).
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"""
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class NestedToDictObject:
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"""Simulates SerializationMixin objects like AgentResponse."""
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def __init__(self, contents: list[str]):
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self.contents = contents
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def to_dict(self):
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return {"type": "response", "contents": self.contents}
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@dataclass
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class ContainerDataclass:
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"""Simulates HandoffAgentUserRequest dataclass."""
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response: NestedToDictObject
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obj = ContainerDataclass(response=NestedToDictObject(contents=["hello", "world"]))
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result = make_json_safe(obj)
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# Verify the nested to_dict object was properly serialized
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assert result == {"response": {"type": "response", "contents": ["hello", "world"]}}
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# Verify the result is actually JSON serializable
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import json
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json_str = json.dumps(result)
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assert json_str is not None
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def test_convert_tools_to_agui_format_with_ai_function():
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"""Test converting AIFunction to AG-UI format."""
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from agent_framework import ai_function
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