mirror of
https://github.com/BerriAI/litellm.git
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86 lines
2.6 KiB
Python
86 lines
2.6 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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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_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 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_langfuse_logging_function_calling()
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