Hi is there any way to use

# set Logging to DEBUG for more detailed outputs
from llama_index.query_engine.multistep_query_engine import (
    MultiStepQueryEngine,
)

# Since this query engine will be used. I think try changing the llm and model in this service_context !!
query_engine = index.as_query_engine(service_context=service_context_gpt4)
query_engine = MultiStepQueryEngine(
    query_engine=query_engine,
    query_transform=step_decompose_transform,
    index_summary=index_summary,
)

ValueError: No API key found for OpenAI.
Please set either the OPENAI_API_KEY environment variable or openai.api_key prior to initialization.
API keys can be found or created at https://platform.openai.com/account/api-keys


During handling of the above exception, another exception occurred:

ValueError                                Traceback (most recent call last)
Cell In[119], line 15
      5 from llama_index.response_synthesizers import (
      6     ResponseMode,
      7     get_response_synthesizer,
      8 )
     10 response_synthesizer = get_response_synthesizer(
     11     response_mode=ResponseMode.COMPACT, service_context=service_context
     12 )
---> 15 query_engine = MultiStepQueryEngine(
     16     query_engine= index.as_query_engine(service_context=service_context),
     17     query_transform=step_decompose_transform,
     18     index_summary="Used to search for code snippets",
     19     # response_synthesizer=response_synthesizer,
     20 )

File c:\Users\souya\.conda\envs\streamdiffusion\lib\site-packages\llama_index\query_engine\multistep_query_engine.py:53, in MultiStepQueryEngine.__init__(self, query_engine, query_transform, response_synthesizer, num_steps, early_stopping, index_summary, stop_fn)
     51 self._query_engine = query_engine
     52 self._query_transform = query_transform
---> 53 self._response_synthesizer = response_synthesizer or get_response_synthesizer(
     54     callback_manager=self._query_engine.callback_manager
     55 )
     57 self._index_summary = index_summary
     58 self._num_steps = num_steps

from llama_index.response_synthesizers import get_response_synthesizer

# use the query_engine that you are going to pass in the mutlistep for callback manager
response_synthesizer = get_response_synthesizer(service_context=non_openAI_service_context, callback_manager=query_engine.callback_manager)

# once you have this, try passing the response_synthesizer in Multistep as well

query_engine = MultiStepQueryEngine(
    query_engine=query_engine,
response_synthesizer=response_synthesizer,query_transform=step_decompose_transform,index_summary=index_summary,
)

File c:\Users\souya\.conda\envs\streamdiffusion\lib\site-packages\llama_index\indices\query\query_transform\base.py:116, in HyDEQueryTransform.__init__(self, llm, hyde_prompt, include_original)
    105 """Initialize HyDEQueryTransform.
    106 
    107 Args:
   (...)
    112         string as one of the embedding strings
    113 """
    114 super().__init__()
--> 116 self._llm = llm or resolve_llm("default")
    117 self._hyde_prompt = hyde_prompt or DEFAULT_HYDE_PROMPT
    118 self._include_original = include_original

File c:\Users\souya\.conda\envs\streamdiffusion\lib\site-packages\llama_index\llms\utils.py:31, in resolve_llm(llm)
     29         validate_openai_api_key(llm.api_key)
     30     except ValueError as e:
---> 31         raise ValueError(
     32             "\n******\n"
     33             "Could not load OpenAI model. "
     34             "If you intended to use OpenAI, please check your OPENAI_API_KEY.\n"
     35             "Original error:\n"
     36             f"{e!s}"
     37             "\nTo disable the LLM entirely, set llm=None."
     38             "\n******"
     39         )
     41 if isinstance(llm, str):
     42     splits = llm.split(":", 1)