Update llm_handler.py
Browse files- llm_handler.py +5 -32
llm_handler.py
CHANGED
@@ -11,52 +11,25 @@ client = OpenAI(api_key=OPENAI_API_KEY)
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def send_to_chatgpt(msg_list):
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try:
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completion = client.chat.completions.create(
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model=OPENAI_MODEL,
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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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for chunk in completion:
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if chunk.choices[0].delta.content is not None:
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return chatgpt_response, chatgpt_usage
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except Exception as e:
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print(f"Error in send_to_chatgpt: {str(e)}")
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return f"Error: {str(e)}", None
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def send_to_llamanet(msg_list):
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try:
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# Create a new OpenAI client for LlamaNet (no API key needed)
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llamanet_client = OpenAI()
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# Send request to LlamaNet
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completion = llamanet_client.chat.completions.create(
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model="gpt-3.5-turbo", # LlamaNet uses this as a placeholder
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messages=msg_list,
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stream=True
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)
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llamanet_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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llamanet_response += chunk.choices[0].delta.content
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# LlamaNet doesn't provide usage information
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llamanet_usage = None
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return llamanet_response, llamanet_usage
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except Exception as e:
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print(f"Error in send_to_llamanet: {str(e)}")
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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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elif provider == "openai":
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return send_to_chatgpt(msg_list)
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else:
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raise ValueError(f"Unknown provider: {provider}")
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def send_to_chatgpt(msg_list):
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try:
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completion = client.chat.completions.create(
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model=OPENAI_MODEL, # LlamaNet ignores this
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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 send_to_chatgpt: {str(e)}")
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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_chatgpt(msg_list)
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else:
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raise ValueError(f"Unknown provider: {provider}")
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