Update llm_handler.py
Browse files- llm_handler.py +25 -28
llm_handler.py
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@@ -1,34 +1,31 @@
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from
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import
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# Initialize
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# Create
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try:
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messages=msg_list,
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temperature=0.6,
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stream=True
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)
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response = ""
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for chunk in completion:
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if chunk.choices[0].delta.content is not None:
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response += chunk.choices[0].delta.content
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return response, None # LlamaNet doesn't provide usage info
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except Exception as e:
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print(f"Error in
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return f"Error: {str(e)}", None
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def send_to_llm(provider, msg_list):
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if provider == "llamanet":
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return send_to_llamanet(msg_list)
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else:
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raise ValueError(f"Unknown provider: {provider}")
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from llama_cpp import Llama
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from llama_cpp_agent import LlamaCppAgent
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from llama_cpp_agent import MessagesFormatterType
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from llama_cpp_agent.providers import LlamaCppPythonProvider
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# Initialize the Llama model
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llama_model = Llama("Arcee-Spark-GGUF/Arcee-Spark-Q4_K_M.gguf", n_batch=1024, n_threads=10, n_gpu_layers=33, n_ctx=2048, verbose=False)
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# Create the provider
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provider = LlamaCppPythonProvider(llama_model)
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# Create the agent
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agent = LlamaCppAgent(
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provider,
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system_prompt="You are a helpful assistant.",
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predefined_messages_formatter_type=MessagesFormatterType.CHATML,
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debug_output=True
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)
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# Set provider settings
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settings = provider.get_provider_default_settings()
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settings.max_tokens = 2000
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settings.stream = True
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def send_to_llm(provider, msg_list):
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try:
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response = agent.chat(msg_list, settings=settings)
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return response.content, None # We don't have usage info in this case
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except Exception as e:
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print(f"Error in send_to_llm: {str(e)}")
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return f"Error: {str(e)}", None
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