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54 lines
1.5 KiB
Python
54 lines
1.5 KiB
Python
#### What this tests ####
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# This tests if logging to the supabase integration actually works
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# pytest mistakes intentional bad calls as failed tests -> [TODO] fix this
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import sys, os
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import traceback
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import pytest
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sys.path.insert(0, os.path.abspath('../..')) # Adds the parent directory to the system path
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import litellm
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from litellm import embedding, completion
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litellm.input_callback = ["supabase"]
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litellm.success_callback = ["supabase"]
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litellm.failure_callback = ["supabase"]
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litellm.set_verbose = False
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user_message = "Hello, how are you?"
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messages = [{ "content": user_message,"role": "user"}]
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#openai call
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response = completion(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}],
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user="ishaan22"
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)
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import asyncio
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import time
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async def completion_call():
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try:
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response = await litellm.acompletion(
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model="gpt-3.5-turbo", messages=messages, stream=True
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)
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complete_response = ""
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start_time = time.time()
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async for chunk in response:
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chunk_time = time.time()
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print(chunk)
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complete_response += chunk["choices"][0]["delta"].get("content", "")
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print(complete_response)
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print(f"time since initial request: {chunk_time - start_time:.5f}")
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if chunk["choices"][0].get("finish_reason", None) != None:
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print("🤗🤗🤗 DONE")
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except:
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print(f"error occurred: {traceback.format_exc()}")
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pass
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asyncio.run(completion_call())
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