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| import asyncio | |
| import os | |
| import json | |
| from openai import AsyncOpenAI | |
| from datetime import datetime | |
| import random | |
| # Set up the client with custom base URL | |
| client = AsyncOpenAI(base_url="http://0.0.0.0:8000/v1/") | |
| async def get_current_temperature(location: str, unit: str = "fahrenheit") -> dict: | |
| """ | |
| Simulate getting the current temperature for a given location. | |
| """ | |
| # Simulate API call delay | |
| await asyncio.sleep(2) | |
| # Generate a random temperature between 0°C and 40°C | |
| temp_c = 28 | |
| # Convert to Fahrenheit if requested | |
| temp_f = (temp_c * 9/5) + 32 | |
| temp = temp_f if unit.lower() == "fahrenheit" else temp_c | |
| return { | |
| "location": location, | |
| "temperature": round(temp, 1), | |
| "unit": unit, | |
| "timestamp": datetime.now().isoformat() | |
| } | |
| async def process_stream(stream): | |
| full_response = "" | |
| async for chunk in stream: | |
| if chunk.choices[0].delta.content is not None: | |
| content = chunk.choices[0].delta.content | |
| print(content, end="", flush=True) | |
| full_response += content | |
| print() # New line after full response | |
| return full_response | |
| async def main(): | |
| # Read system and tool prompts from files | |
| with open(os.path.expanduser("~/templates/system.txt"), "r") as f: | |
| system_prompt = f.read() | |
| with open(os.path.expanduser("~/templates/func.txt"), "r") as f: | |
| tool_prompt = f.read() | |
| messages = [ | |
| {"role": "system", "content": system_prompt}, | |
| {"role": "tool", "content": tool_prompt}, | |
| {"role": "user", "content": "What's the temperature in Louisville, KY?"} | |
| ] | |
| while True: | |
| stream = await client.chat.completions.create( | |
| model="gpt-3.5-turbo", | |
| messages=messages, | |
| max_tokens=4098, | |
| n=1, | |
| temperature=0.1, | |
| top_p=0.1, | |
| stream=True | |
| ) | |
| full_response = await process_stream(stream) | |
| if full_response.startswith("<|python_tag|>"): | |
| try: | |
| function_call = json.loads(full_response.replace("<|python_tag|>", "").strip( | |
| )) | |
| result = await get_current_temperature(**function_call["parameters"]) | |
| function_response = json.dumps(result) | |
| messages.append({"role": "assistant", "content": full_response}) | |
| messages.append({"role": "function", "name": "get_current_temperature", "cont | |
| ent": function_response}) | |
| print(function_response) # Print the function response | |
| # Follow-up completion | |
| messages.append({"role": "user", "content": "Can you summarize the temperatur | |
| e information you just provided?"}) | |
| follow_up_stream = await client.chat.completions.create( | |
| model="gpt-3.5-turbo", | |
| messages=messages, | |
| max_tokens=4098, | |
| n=1, | |
| temperature=0.1, | |
| top_p=0.1, | |
| stream=True | |
| ) | |
| follow_up_response = await process_stream(follow_up_stream) | |
| messages.append({"role": "assistant", "content": follow_up_response}) | |
| except json.JSONDecodeError: | |
| print("Error: Invalid JSON in function call") | |
| break | |
| except Exception as e: | |
| print(f"Error calling function: {str(e)}") | |
| break | |
| else: | |
| # If it's not a function call, we're done | |
| break | |
| if __name__ == "__main__": | |
| asyncio.run(main()) |
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