As I add conf.yaml

The error is :

uv run main.py
/aml/deer-flow/src/llms/llm.py:48: UserWarning: WARNING! api_base is not default parameter.
api_base was transferred to model_kwargs.
Please confirm that api_base is what you intended.
basic_llm = get_llm_by_type("basic")
/aml/deer-flow/src/llms/llm.py:48: UserWarning: WARNING! api_version is not default parameter.
api_version was transferred to model_kwargs.
Please confirm that api_version is what you intended.
basic_llm = get_llm_by_type("basic")
/aml/deer-flow/src/llms/llm.py:48: UserWarning: WARNING! deployment_name is not default parameter.
deployment_name was transferred to model_kwargs.
Please confirm that deployment_name is what you intended.
basic_llm = get_llm_by_type("basic")
Enter your query: hello
2025-05-11 01:45:52,560 - src.workflow - INFO - Starting async workflow with user input: hello
================================ Human Message =================================

hello
2025-05-11 01:45:52,563 - src.graph.nodes - INFO - Coordinator talking.
Traceback (most recent call last):
File "/aml/deer-flow/main.py", line 146, in
ask(
File "/aml/deer-flow/main.py", line 33, in ask
asyncio.run(
File "/home/root123/miniconda3/envs/deerflow/lib/python3.12/asyncio/runners.py", line 194, in run
return runner.run(main)
^^^^^^^^^^^^^^^^
File "/home/root123/miniconda3/envs/deerflow/lib/python3.12/asyncio/runners.py", line 118, in run
return self._loop.run_until_complete(task)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/root123/miniconda3/envs/deerflow/lib/python3.12/asyncio/base_events.py", line 664, in run_until_complete
return future.result()
^^^^^^^^^^^^^^^
File "/aml/deer-flow/src/workflow.py", line 78, in run_agent_workflow_async
async for s in graph.astream(
File "/aml/deer-flow/.venv/lib/python3.12/site-packages/langgraph/pregel/init.py", line 2305, in astream
async for _ in runner.atick(
File "/aml/deer-flow/.venv/lib/python3.12/site-packages/langgraph/pregel/runner.py", line 444, in atick
await arun_with_retry(
File "/aml/deer-flow/.venv/lib/python3.12/site-packages/langgraph/pregel/retry.py", line 128, in arun_with_retry
return await task.proc.ainvoke(task.input, config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/aml/deer-flow/.venv/lib/python3.12/site-packages/langgraph/utils/runnable.py", line 583, in ainvoke
input = await step.ainvoke(input, config, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/aml/deer-flow/.venv/lib/python3.12/site-packages/langgraph/utils/runnable.py", line 371, in ainvoke
ret = await asyncio.create_task(coro, context=context)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/aml/deer-flow/.venv/lib/python3.12/site-packages/langchain_core/runnables/config.py", line 588, in run_in_executor
return await asyncio.get_running_loop().run_in_executor(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/root123/miniconda3/envs/deerflow/lib/python3.12/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/aml/deer-flow/.venv/lib/python3.12/site-packages/langchain_core/runnables/config.py", line 579, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/aml/deer-flow/src/graph/nodes.py", line 207, in coordinator_node
.invoke(messages)
^^^^^^^^^^^^^^^^
File "/aml/deer-flow/.venv/lib/python3.12/site-packages/langchain_core/runnables/base.py", line 5365, in invoke
return self.bound.invoke(
^^^^^^^^^^^^^^^^^^
File "/aml/deer-flow/.venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 307, in invoke
self.generate_prompt(
File "/aml/deer-flow/.venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 843, in generate_prompt
return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/aml/deer-flow/.venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 683, in generate
self._generate_with_cache(
File "/aml/deer-flow/.venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 908, in _generate_with_cache
result = self._generate(
^^^^^^^^^^^^^^^
File "/aml/deer-flow/.venv/lib/python3.12/site-packages/langchain_openai/chat_models/base.py", line 823, in _generate
response = self.client.create(**payload)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/aml/deer-flow/.venv/lib/python3.12/site-packages/openai/_utils/_utils.py", line 279, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
TypeError: Completions.create() got an unexpected keyword argument 'api_base'
During task with name 'coordinator' and id '8d53a07e-01f2-4ef0-66de-29761a6f9beb'

My conf.ymal

cat conf.yaml

BASIC_MODEL:
model: "azure/gpt-4o" # 指定确切的模型版本
api_key: $AZURE_API_KEY
api_base: $AZURE_API_BASE
api_version: $AZURE_API_VERSION

The configuration is config as the guidance

Could you please help to check?