Enable streaming with get_chat_response()

I want to use streaming with chat history ``` # Import the Llama class of llama-cpp-python and the LlamaCppPythonProvider of llama-cpp-agent from llama_cpp import Llama from llama_cpp_agent.providers import LlamaCppPythonProvider from llama_cpp_agent.chat_history import BasicChatHistory, BasicChatMessageStore, BasicChatHistoryStrategy # Create an instance of the Llama class and load the model llama_model = Llama("gemma-2-2b-it-IQ3_M.gguf", n_batch=1024, n_threads=10, n_gpu_layers=0) # llama_model = Llama("gemma-2-9b-it-IQ2_M.gguf", n_batch=1024, n_threads=10, n_gpu_layers=40) # Create the provider by passing the Llama class instance to the LlamaCppPythonProvider class provider = LlamaCppPythonProvider(llama_model) from llama_cpp_agent import LlamaCppAgent from llama_cpp_agent import MessagesFormatterType # Pass the provider to the LlamaCppAgentClass and define the system prompt and predefined message formatter agent = LlamaCppAgent(provider, system_prompt="You are a helpful assistant.", predefined_messages_formatter_type=MessagesFormatterType.CHATML) settings = provider.get_provider_default_settings() settings.stream = True settings.temperature = 0.1 # Create a message store for the chat history chat_history_store = BasicChatMessageStore() # Create the actual chat history, by passing the wished chat history strategy, it can be last_k_message or last_k_tokens. The default strategy will be to use the 20 last messages for the chat history. # We will use the last_k_tokens strategy which will include the last k tokens into the chat history. When we use this strategy, we will have to pass the provider to the class. chat_history = BasicChatHistory(message_store=chat_history_store, chat_history_strategy=BasicChatHistoryStrategy.last_k_tokens, k=7000, llm_provider=provider) agent_output = agent.get_chat_response("neler yapabiliyorsun", llm_sampling_settings=settings) agent_output.strip() ```