from langchain_openai import ChatOpenAI
from langchain.agents import create_agent

model = ChatOpenAI(
                model="gpt-5.4",
                stream_usage=True,
                use_responses_api=True,
                max_tokens=25000,
                timeout=180,
                max_retries=2,
                truncation="auto",
                reasoning={
                    "effort": "high", 
                    "summary": "auto"
                },
                # stream_options={},
                # other params...
            )
agent = create_agent(
        model=model,
        tools = [{"type": "computer"}],　# <- Validation fails here.
       )

result = agent.invoke(
        {"messages": [{"role": "user", "content": "Hello"}]},
        )

---

ERROR MESSAGE:
Unsupported function {'type': 'computer'} To use a JSON schema as a function, it must have a top-level 'title' key to be used as the function name

TRACEBACK:
Traceback (most recent call last):
File "/code/chatbots/tasks.py", line 999, in chat_event_invoke
result = agent.invoke(
{"messages": [{"role": "user", "content": message_content}]},
config=config,
context=context
)
File "/usr/local/lib/python3.13/site-packages/langgraph/pregel/main.py", line 3292, in invoke
for chunk in self.stream(
~~~~~~~~~~~^
input,
^^^^^^
...<10 lines>...
**kwargs,
^^^^^^^^^
):
^
File "/usr/local/lib/python3.13/site-packages/langgraph/pregel/main.py", line 2725, in stream
for _ in runner.tick(
~~~~~~~~~~~^
[t for t in loop.tasks.values() if not t.writes],
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
...<2 lines>...
schedule_task=loop.accept_push,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.13/site-packages/langgraph/pregel/_runner.py", line 167, in tick
run_with_retry(
~~~~~~~~~~~~~~^
t,
^^
...<10 lines>...
},
^^
)
^
File "/usr/local/lib/python3.13/site-packages/langgraph/pregel/_retry.py", line 96, in run_with_retry
return task.proc.invoke(task.input, config)
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.13/site-packages/langgraph/_internal/_runnable.py", line 656, in invoke
input = context.run(step.invoke, input, config, **kwargs)
File "/usr/local/lib/python3.13/site-packages/langgraph/_internal/_runnable.py", line 400, in invoke
ret = self.func(*args, **kwargs)
File "/usr/local/lib/python3.13/site-packages/langchain/agents/factory.py", line 1304, in model_node
result = wrap_model_call_handler(request, _execute_model_sync)
File "/usr/local/lib/python3.13/site-packages/langchain/agents/factory.py", line 265, in normalized_single
return _to_composed_result(single_handler(request, handler))
~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.13/site-packages/langchain/agents/middleware/types.py", line 1703, in wrapped
return handler(request)
File "/usr/local/lib/python3.13/site-packages/langchain/agents/factory.py", line 1268, in _execute_model_sync
model_, effective_response_format = _get_bound_model(request)
~~~~~~~~~~~~~~~~^^^^^^^^^
File "/usr/local/lib/python3.13/site-packages/langchain/agents/factory.py", line 1253, in _get_bound_model
request.model.bind_tools(
~~~~~~~~~~~~~~~~~~~~~~~~^
final_tools, tool_choice=request.tool_choice, **request.model_settings
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
),
^
File "/usr/local/lib/python3.13/site-packages/langchain_openai/chat_models/base.py", line 1989, in bind_tools
convert_to_openai_tool(tool, strict=strict) for tool in tools
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.13/site-packages/langchain_core/utils/function_calling.py", line 572, in convert_to_openai_tool
oai_function = convert_to_openai_function(tool, strict=strict)
File "/usr/local/lib/python3.13/site-packages/langchain_core/utils/function_calling.py", line 460, in convert_to_openai_function
raise ValueError(msg)
ValueError: Unsupported function

{'type': 'computer'}

To use a JSON schema as a function, it must have a top-level 'title' key to be used as the function name.