60 lines
2.2 KiB
Python
60 lines
2.2 KiB
Python
import openai
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import keys
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# Initialize the OpenAI API client
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openai.api_key = keys.OPENAI_API_KEY
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def create_chat_message(role, content):
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"""
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Create a chat message with the given role and content.
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Args:
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role (str): The role of the message sender, e.g., "system", "user", or "assistant".
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content (str): The content of the message.
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Returns:
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dict: A dictionary containing the role and content of the message.
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"""
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return {"role": role, "content": content}
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def chat_with_ai(prompt, user_input, full_message_history, permanent_memory, token_limit, debug = False):
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"""
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Interact with the OpenAI API, sending the prompt, user input, message history, and permanent memory.
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Args:
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prompt (str): The prompt explaining the rules to the AI.
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user_input (str): The input from the user.
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full_message_history (list): The list of all messages sent between the user and the AI.
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permanent_memory (list): The list of items in the AI's permanent memory.
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token_limit (int): The maximum number of tokens allowed in the API call.
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Returns:
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str: The AI's response.
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"""
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current_context = [create_chat_message("system", prompt), create_chat_message("system", f"Permanent memory: {permanent_memory}")]
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current_context.extend(full_message_history[-(token_limit - len(prompt) - len(permanent_memory) - 10):])
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current_context.extend([create_chat_message("user", user_input)])
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# Debug print the current context
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if debug:
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print("------------ CONTEXT SENT TO AI ---------------")
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for message in current_context:
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# Skip printing the prompt
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if message["role"] == "system" and message["content"] == prompt:
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continue
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print(f"{message['role'].capitalize()}: {message['content']}")
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print("----------- END OF CONTEXT ----------------")
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response = openai.ChatCompletion.create(
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model="gpt-4",
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messages=current_context,
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)
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assistant_reply = response.choices[0].message["content"]
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# Update full message history
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full_message_history.append(create_chat_message("user", user_input))
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full_message_history.append(create_chat_message("assistant", assistant_reply))
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return assistant_reply
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