forked from phoenix/litellm-mirror
test batch_completion_models
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1 changed files with 35 additions and 12 deletions
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@ -1,15 +1,15 @@
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# #### What this tests ####
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#### What this tests ####
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# # This tests calling batch_completions by running 100 messages together
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# This tests calling batch_completions by running 100 messages together
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# import sys, os
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import sys, os
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# import traceback
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import traceback
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# import pytest
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import pytest
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# sys.path.insert(
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sys.path.insert(
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# 0, os.path.abspath("../..")
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0, os.path.abspath("../..")
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# ) # Adds the parent directory to the system path
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) # Adds the parent directory to the system path
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# from openai.error import Timeout
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from openai.error import Timeout
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# import litellm
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import litellm
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# from litellm import batch_completion
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from litellm import batch_completion, batch_completion_models, completion
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# litellm.set_verbose=True
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# litellm.set_verbose=True
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# def test_batch_completions():
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# def test_batch_completions():
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@ -22,4 +22,27 @@
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# except Timeout as e:
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# except Timeout as e:
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# pass
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# pass
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# except Exception as e:
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# except Exception as e:
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# pytest.fail(f"An error occurred: {e}")
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# pytest.fail(f"An error occurred: {e}")
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def test_batch_completions_models():
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try:
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result = batch_completion_models(
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models=["gpt-3.5-turbo", "claude-instant-1.2", "command-nightly"],
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messages=[{"role": "user", "content": "Hey, how's it going"}]
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)
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print(result)
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except Exception as e:
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pytest.fail(f"An error occurred: {e}")
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# test_batch_completions_models()
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# def test_batch_completions():
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# try:
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# result = completion(
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# model=["gpt-3.5-turbo", "claude-instant-1.2", "command-nightly"],
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# messages=[{"role": "user", "content": "Hey, how's it going"}]
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# )
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# print(result)
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# except Exception as e:
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# pytest.fail(f"An error occurred: {e}")
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# test_batch_completions()
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