forked from phoenix/litellm-mirror
(test) add weights & biases logger
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55
litellm/tests/test_wandb_logger.py
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55
litellm/tests/test_wandb_logger.py
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import sys
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import os
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import io
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sys.path.insert(0, os.path.abspath('../..'))
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from litellm import completion
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import litellm
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litellm.success_callback = ["wandb"]
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litellm.set_verbose = True
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import time
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def test_wandb_logging():
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try:
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response = completion(model="claude-instant-1.2",
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messages=[{
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"role": "user",
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"content": "Hi 👋 - i'm claude"
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}],
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max_tokens=10,
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temperature=0.2
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)
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print(response)
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except Exception as e:
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print(e)
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test_wandb_logging()
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# def test_langfuse_logging_custom_generation_name():
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# try:
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# response = completion(model="gpt-3.5-turbo",
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# messages=[{
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# "role": "user",
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# "content": "Hi 👋 - i'm claude"
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# }],
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# max_tokens=10,
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# metadata = {
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# "generation_name": "litellm-ishaan-gen", # set langfuse generation name
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# # custom metadata fields
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# "project": "litellm-proxy"
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# }
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# )
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# print(response)
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# except Exception as e:
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# print(e)
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# test_langfuse_logging_custom_generation_name()
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