mirror of
https://github.com/BerriAI/litellm.git
synced 2025-04-25 10:44:24 +00:00
60 lines
1.9 KiB
Python
60 lines
1.9 KiB
Python
import sys, os
|
|
import traceback
|
|
from dotenv import load_dotenv
|
|
|
|
load_dotenv()
|
|
import os, io
|
|
|
|
sys.path.insert(
|
|
0, os.path.abspath("../..")
|
|
) # Adds the parent directory to the system path
|
|
import pytest
|
|
import litellm
|
|
|
|
|
|
## for ollama we can't test making the completion call
|
|
from litellm.utils import get_optional_params, get_llm_provider
|
|
|
|
|
|
def test_get_ollama_params():
|
|
try:
|
|
converted_params = get_optional_params(
|
|
custom_llm_provider="ollama",
|
|
model="llama2",
|
|
max_tokens=20,
|
|
temperature=0.5,
|
|
stream=True,
|
|
)
|
|
print("Converted params", converted_params)
|
|
assert converted_params == {
|
|
"num_predict": 20,
|
|
"stream": True,
|
|
"temperature": 0.5,
|
|
}, f"{converted_params} != {'num_predict': 20, 'stream': True, 'temperature': 0.5}"
|
|
except Exception as e:
|
|
pytest.fail(f"Error occurred: {e}")
|
|
|
|
|
|
# test_get_ollama_params()
|
|
|
|
|
|
def test_get_ollama_model():
|
|
try:
|
|
model, custom_llm_provider, _, _ = get_llm_provider("ollama/code-llama-22")
|
|
print("Model", "custom_llm_provider", model, custom_llm_provider)
|
|
assert custom_llm_provider == "ollama", f"{custom_llm_provider} != ollama"
|
|
assert model == "code-llama-22", f"{model} != code-llama-22"
|
|
except Exception as e:
|
|
pytest.fail(f"Error occurred: {e}")
|
|
|
|
# test_get_ollama_model()
|
|
|
|
def test_ollama_json_mode():
|
|
# assert that format: json gets passed as is to ollama
|
|
try:
|
|
converted_params = get_optional_params(custom_llm_provider="ollama", model="llama2", format = "json", temperature=0.5)
|
|
print("Converted params", converted_params)
|
|
assert converted_params == {'temperature': 0.5, 'format': 'json'}, f"{converted_params} != {'temperature': 0.5, 'format': 'json'}"
|
|
except Exception as e:
|
|
pytest.fail(f"Error occurred: {e}")
|
|
# test_ollama_json_mode()
|