mirror of
https://github.com/BerriAI/litellm.git
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84 lines
2.5 KiB
Python
84 lines
2.5 KiB
Python
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 = ["langfuse"]
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# litellm.set_verbose = True
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import time
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def test_langfuse_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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)
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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()
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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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# def test_langfuse_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 outside"
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# }],
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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_langfuse_logging_function_calling()
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