= parse_list(text)queries    ["Can you explain how to say 'hello' in Spanish?",     "I need help understanding the French word for 'goodbye'.",     "Can you tell me how to say 'thank you' in German?",     "I'm trying to learn the Italian word for 'please'.",     "Can you help me with the pronunciation of 'yes' in Portuguese?",     "I'm looking for the Dutch word for 'no'.",     "Can you explain the meaning of 'hello' in Japanese?",     "I need help understanding the Russian word for 'thank you'.",     "Can you tell me how to say 'goodbye' in Chinese?",     "I'm trying to learn the Arabic word for 'please'."]# Define the generation chain to get hypothesesapi_chain = OpenAPIEndpointChain.from_api_operation(    operation,    llm,    requests=Requests(),    verbose=verbose,    return_intermediate_steps=True,  # Return request and response text)predicted_outputs = [api_chain(query) for query in queries]request_args = [    output["intermediate_steps"]["request_args"] for output in predicted_outputs]# Show the generated requestrequest_args    ['{"task_description": "say \'hello\'", "learning_language": "Spanish", "native_language": "English", "full_query": "Can you explain how to say \'hello\' in Spanish?"}',     '{"task_description": "understanding the French word for \'goodbye\'", "learning_language": "French", "native_language": "English", "full_query": "I need help understanding the French word for \'goodbye\'."}',     '{"task_description": "say \'thank