mirror of
https://github.com/BerriAI/litellm.git
synced 2025-04-25 10:44:24 +00:00
51 lines
1.4 KiB
Python
51 lines
1.4 KiB
Python
# ##### THESE TESTS CAN ONLY RUN LOCALLY WITH THE OLLAMA SERVER RUNNING ######
|
|
# # https://ollama.ai/
|
|
|
|
# import sys, os
|
|
# import traceback
|
|
# from dotenv import load_dotenv
|
|
# load_dotenv()
|
|
# import os
|
|
# sys.path.insert(0, os.path.abspath('../..')) # Adds the parent directory to the system path
|
|
# import pytest
|
|
# import litellm
|
|
# from litellm import embedding, completion
|
|
# import asyncio
|
|
|
|
|
|
# user_message = "respond in 20 words. who are you?"
|
|
# messages = [{ "content": user_message,"role": "user"}]
|
|
|
|
# def test_completion_ollama():
|
|
# try:
|
|
# response = completion(
|
|
# model="llama2",
|
|
# messages=messages,
|
|
# api_base="http://localhost:11434",
|
|
# custom_llm_provider="ollama"
|
|
# )
|
|
# print(response)
|
|
# except Exception as e:
|
|
# pytest.fail(f"Error occurred: {e}")
|
|
|
|
# test_completion_ollama()
|
|
|
|
# def test_completion_ollama_stream():
|
|
# user_message = "what is litellm?"
|
|
# messages = [{ "content": user_message,"role": "user"}]
|
|
# try:
|
|
# response = completion(
|
|
# model="llama2",
|
|
# messages=messages,
|
|
# api_base="http://localhost:11434",
|
|
# custom_llm_provider="ollama",
|
|
# stream=True
|
|
# )
|
|
# print(response)
|
|
# for chunk in response:
|
|
# print(chunk['choices'][0]['delta'])
|
|
|
|
# except Exception as e:
|
|
# pytest.fail(f"Error occurred: {e}")
|
|
|
|
# # test_completion_ollama_stream()
|