63 lines
1.4 KiB
Python
63 lines
1.4 KiB
Python
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# OpenAI tool calling with history
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### Uses a sample function
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import yaml
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import gradio as gr
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import json
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import os
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from openai import OpenAI
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from dotenv import load_dotenv
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load_dotenv()
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openai_api_key = os.getenv("OPENAI_API_KEY")
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with open('character_config.yaml', 'r') as f:
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char_config = yaml.safe_load(f)
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client = OpenAI(api_key=openai_api_key)
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# Constants
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HISTORY_FILE = char_config['history_file']
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MODEL = char_config['model']
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SYSTEM_PROMPT = [
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{
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"role": "system",
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"content": [
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{
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"type": "input_text",
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"text": char_config['presets']['default']['system_prompt']
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}
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]
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}
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]
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# REPLACE THIS FUNCTINO WITH ANY LOCAL LLM THAT ACCEPTS AN INPUT OR OUTPUT!!! LOOK IN process/llm_src.py
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def get_riko_response_no_tool(messages):
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# Call OpenAI with system prompt + history
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response = client.responses.create(
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model=MODEL,
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input= messages,
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temperature=1,
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top_p=1,
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max_output_tokens=2048,
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stream=False,
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text={
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"format": {
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"type": "text"
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}
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},
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)
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return response
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if __name__ == "__main__":
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user_message = "would you rather have 1 million dollars or a vacation with me?"
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response = get_riko_response_no_tool(user_message)
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print(response)
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