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76 lines
2.2 KiB
Python
76 lines
2.2 KiB
Python
# #### What this tests ####
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# # This tests if logging to the llmonitor integration actually works
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# # Adds the parent directory to the system path
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# import sys
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# import os
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# sys.path.insert(0, os.path.abspath("../.."))
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# from litellm import completion, embedding
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# import litellm
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# litellm.success_callback = ["llmonitor"]
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# litellm.failure_callback = ["llmonitor"]
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# litellm.set_verbose = True
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# def test_chat_openai():
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# try:
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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="ishaan_from_litellm"
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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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# def test_embedding_openai():
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# try:
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# response = embedding(model="text-embedding-ada-002", input=["test"])
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# # Add any assertions here to check the response
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# print(f"response: {str(response)[:50]}")
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# except Exception as e:
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# print(e)
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# test_chat_openai()
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# # test_embedding_openai()
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# def test_llmonitor_logging_function_calling():
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# function1 = [
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# {
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# "name": "get_current_weather",
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# "description": "Get the current weather in a given location",
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# "parameters": {
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# "type": "object",
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# "properties": {
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# "location": {
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# "type": "string",
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# "description": "The city and state, e.g. San Francisco, CA",
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# },
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# "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
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# },
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# "required": ["location"],
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# },
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# }
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# ]
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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": "what's the weather in boston"
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# }],
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# temperature=0.1,
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# functions=function1,
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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_llmonitor_logging_function_calling()
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