#### What this tests #### # This tests calling batch_completions by running 100 messages together import sys, os import traceback import pytest sys.path.insert( 0, os.path.abspath("../..") ) # Adds the parent directory to the system path from openai.error import Timeout import litellm from litellm import batch_completion, batch_completion_models, completion, batch_completion_models_all_responses # litellm.set_verbose=True def test_batch_completions(): messages = [[{"role": "user", "content": "write a short poem"}] for _ in range(3)] model = "gpt-3.5-turbo" try: result = batch_completion( model=model, messages=messages, max_tokens=10, temperature=0.2 ) print(result) print(len(result)) assert(len(result)==3) except Timeout as e: pass except Exception as e: pytest.fail(f"An error occurred: {e}") # test_batch_completions() def test_batch_completions_models(): try: result = batch_completion_models( models=["gpt-3.5-turbo", "gpt-3.5-turbo", "gpt-3.5-turbo"], messages=[{"role": "user", "content": "Hey, how's it going"}] ) print(result) except Exception as e: pytest.fail(f"An error occurred: {e}") # test_batch_completions_models() def test_batch_completion_models_all_responses(): responses = batch_completion_models_all_responses( models=["j2-light", "claude-instant-1.2", "command-nightly"], messages=[{"role": "user", "content": "write a poem"}], max_tokens=500 ) print(responses) assert(len(responses) == 3) # test_batch_completion_models_all_responses() # def test_batch_completions(): # try: # result = completion( # model=["gpt-3.5-turbo", "claude-instant-1.2", "command-nightly"], # messages=[{"role": "user", "content": "Hey, how's it going"}] # ) # print(result) # except Exception as e: # pytest.fail(f"An error occurred: {e}") # test_batch_completions()