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Configuration error
# import openai, json, time, asyncio | |
# client = openai.AsyncOpenAI( | |
# api_key="sk-1234", | |
# base_url="http://0.0.0.0:8000" | |
# ) | |
# super_fake_messages = [ | |
# { | |
# "role": "user", | |
# "content": f"What's the weather like in San Francisco, Tokyo, and Paris? {time.time()}" | |
# }, | |
# { | |
# "content": None, | |
# "role": "assistant", | |
# "tool_calls": [ | |
# { | |
# "id": "1", | |
# "function": { | |
# "arguments": "{\"location\": \"San Francisco\", \"unit\": \"celsius\"}", | |
# "name": "get_current_weather" | |
# }, | |
# "type": "function" | |
# }, | |
# { | |
# "id": "2", | |
# "function": { | |
# "arguments": "{\"location\": \"Tokyo\", \"unit\": \"celsius\"}", | |
# "name": "get_current_weather" | |
# }, | |
# "type": "function" | |
# }, | |
# { | |
# "id": "3", | |
# "function": { | |
# "arguments": "{\"location\": \"Paris\", \"unit\": \"celsius\"}", | |
# "name": "get_current_weather" | |
# }, | |
# "type": "function" | |
# } | |
# ] | |
# }, | |
# { | |
# "tool_call_id": "1", | |
# "role": "tool", | |
# "name": "get_current_weather", | |
# "content": "{\"location\": \"San Francisco\", \"temperature\": \"90\", \"unit\": \"celsius\"}" | |
# }, | |
# { | |
# "tool_call_id": "2", | |
# "role": "tool", | |
# "name": "get_current_weather", | |
# "content": "{\"location\": \"Tokyo\", \"temperature\": \"30\", \"unit\": \"celsius\"}" | |
# }, | |
# { | |
# "tool_call_id": "3", | |
# "role": "tool", | |
# "name": "get_current_weather", | |
# "content": "{\"location\": \"Paris\", \"temperature\": \"50\", \"unit\": \"celsius\"}" | |
# } | |
# ] | |
# async def chat_completions(): | |
# super_fake_response = await client.chat.completions.create( | |
# model="gpt-3.5-turbo", | |
# messages=super_fake_messages, | |
# seed=1337, | |
# stream=False | |
# ) # get a new response from the model where it can see the function response | |
# await asyncio.sleep(1) | |
# return super_fake_response | |
# async def loadtest_fn(n = 1): | |
# global num_task_cancelled_errors, exception_counts, chat_completions | |
# start = time.time() | |
# tasks = [chat_completions() for _ in range(n)] | |
# chat_completions = await asyncio.gather(*tasks) | |
# successful_completions = [c for c in chat_completions if c is not None] | |
# print(n, time.time() - start, len(successful_completions)) | |
# # print(json.dumps(super_fake_response.model_dump(), indent=4)) | |
# asyncio.run(loadtest_fn()) | |