langchain - 💡(How to fix) Fix azure gpt-5.3-codex not working [4 comments, 3 participants]

# instantiate model
llm= AzureChatOpenAI(azure_endpoint=env["AZURE_LAB_ENDPOINT"], api_key=env["AZURE_LAB_API_KEY"],
                    azure_deployment=env["AZURE_LAB_DEPLOYMENT_5.3"], temperature=temperature,
                    api_version=env["OPENAI_API_VERSION"],
                    timeout=7000)

# create agent
agent= create_agent(llm,
            tools=[...], #add some tools
            system_prompt=prompt,
            name="myagent",
            checkpointer=memory
        )

# invoke
msgs= [HumanMessage("blah blah")]
agent.invoke({"messages": msgs})

---

ERROR:workflow2:Error in terminal_invoke
Traceback (most recent call last):
  File "/app/workflow2.py", line 97, in terminal_invoke
    result = self.terminal.invoke({"messages": [
        HumanMessage(content="Project files: " + json.dumps(files)),
        HumanMessage(content=prompt)]})
  File "/app/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py", line 3292, in invoke
    for chunk in self.stream(
                 ~~~~~~~~~~~^
        input,
        ^^^^^^
    ...<10 lines>...
        **kwargs,
        ^^^^^^^^^
    ):
    ^
  File "/app/.venv/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 "/app/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py", line 167, in tick
    run_with_retry(
    ~~~~~~~~~~~~~~^
        t,
        ^^
    ...<10 lines>...
        },
        ^^
    )
    ^
  File "/app/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py", line 96, in run_with_retry
    return task.proc.invoke(task.input, config)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^
  File "/app/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py", line 656, in invoke
    input = context.run(step.invoke, input, config, **kwargs)
  File "/app/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py", line 400, in invoke
    ret = self.func(*args, **kwargs)
  File "/app/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 1301, in model_node
    model_response = _execute_model_sync(request)
  File "/app/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 1273, in _execute_model_sync
    output = model_.invoke(messages)
  File "/app/.venv/lib/python3.13/site-packages/langchain_core/runnables/base.py", line 5695, in invoke
    return self.bound.invoke(
           ~~~~~~~~~~~~~~~~~^
        input,
        ^^^^^^
        self._merge_configs(config),
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        **{**self.kwargs, **kwargs},
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/app/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py", line 402, in invoke
    self.generate_prompt(
    ~~~~~~~~~~~~~~~~~~~~^
        [self._convert_input(input)],
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    ...<6 lines>...
        **kwargs,
        ^^^^^^^^^
    ).generations[0][0],
    ^
  File "/app/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py", line 1149, in generate_prompt
    return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/app/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py", line 958, in generate
    self._generate_with_cache(
    ~~~~~~~~~~~~~~~~~~~~~~~~~^
        m,
        ^^
    ...<2 lines>...
        **kwargs,
        ^^^^^^^^^
    )
    ^
  File "/app/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py", line 1261, in _generate_with_cache
    result = self._generate(
        messages, stop=stop, run_manager=run_manager, **kwargs
    )
  File "/app/.venv/lib/python3.13/site-packages/langchain_openai/chat_models/base.py", line 1490, in _generate
    _handle_openai_bad_request(e)
    ~~~~~~~~~~~~~~~~~~~~~~~~~~^^^
  File "/app/.venv/lib/python3.13/site-packages/langchain_openai/chat_models/base.py", line 1487, in _generate
    raw_response = self.client.with_raw_response.create(**payload)
  File "/app/.venv/lib/python3.13/site-packages/openai/_legacy_response.py", line 367, in wrapped
    return cast(LegacyAPIResponse[R], func(*args, **kwargs))
                                      ~~~~^^^^^^^^^^^^^^^^^
  File "/app/.venv/lib/python3.13/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
  File "/app/.venv/lib/python3.13/site-packages/openai/resources/chat/completions/completions.py", line 1211, in create
    return self._post(
           ~~~~~~~~~~^
        "/chat/completions",
        ^^^^^^^^^^^^^^^^^^^^
    ...<47 lines>...
        stream_cls=Stream[ChatCompletionChunk],
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/app/.venv/lib/python3.13/site-packages/openai/_base_client.py", line 1297, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/app/.venv/lib/python3.13/site-packages/openai/_base_client.py", line 1070, in request
    raise self._make_status_error_from_response(err.response) from None
openai.BadRequestError: Error code: 400 - {'error': {'message': 'The requested operation is unsupported.'}}