Can anyone direct me to an example of

llama_index.chat_engine.react.ReActChatEngine.from_query_engine() got multiple values for keyword argument 'service_context'

demo_server.py", line 169, in query_ind
    chat_engine = index.as_chat_engine(service_context=service_context, chat_mode='react', chat_history=custom_chat_history, verbose=False, similarity_top_k=4, text_qa_template=custom_prompt)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/llama_index/indices/base.py", line 360, in as_chat_engine
    return ReActChatEngine.from_query_engine(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: llama_index.chat_engine.react.ReActChatEngine.from_query_engine() got multiple values for keyword argument 'service_context'

token_counter = TokenCountingHandler(tokenizer=tiktoken.encoding_for_model("gpt-3.5-turbo").encode)
    callback_manager = CallbackManager([token_counter])
    llm_predictor = LLMPredictor(llm=ChatOpenAI(temperature=0, model_name="gpt-3.5-turbo", max_tokens=1024, request_timeout=120))
    service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor, callback_manager=callback_manager, chunk_size=512)
    set_global_service_context(service_context)