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import sys, os
import traceback
from dotenv import load_dotenv
import asyncio, logging
load_dotenv()
import os, io
sys.path.insert(
0, os.path.abspath("../..")
) # Adds the parent directory to the system path
import pytest
import litellm
from litellm import (
embedding,
completion,
acompletion,
acreate,
completion_cost,
Timeout,
ModelResponse,
)
from litellm import RateLimitError
# litellm.num_retries = 3
litellm.cache = None
litellm.success_callback = []
user_message = "Write a short poem about the sky"
messages = [{"content": user_message, "role": "user"}]
@pytest.fixture(autouse=True)
def reset_callbacks():
print("\npytest fixture - resetting callbacks")
litellm.success_callback = []
litellm._async_success_callback = []
litellm.failure_callback = []
litellm.callbacks = []
@pytest.mark.skip(reason="Account rate limited.")
def test_completion_clarifai_claude_2_1():
print("calling clarifai claude completion")
import os
clarifai_pat = os.environ["CLARIFAI_API_KEY"]
try:
response = completion(
model="clarifai/anthropic.completion.claude-2_1",
num_retries=3,
messages=messages,
max_tokens=10,
temperature=0.1,
)
print(response)
except RateLimitError:
pass
except Exception as e:
pytest.fail(f"Error occured: {e}")
@pytest.mark.skip(reason="Account rate limited")
def test_completion_clarifai_mistral_large():
try:
litellm.set_verbose = True
response: ModelResponse = completion(
model="clarifai/mistralai.completion.mistral-small",
messages=messages,
num_retries=3,
max_tokens=10,
temperature=0.78,
)
# Add any assertions here to check the response
assert len(response.choices) > 0
assert len(response.choices[0].message.content) > 0
except RateLimitError:
pass
except Exception as e:
pytest.fail(f"Error occurred: {e}")
@pytest.mark.skip(reason="Account rate limited")
@pytest.mark.asyncio
def test_async_completion_clarifai():
import asyncio
litellm.set_verbose = True
async def test_get_response():
user_message = "Hello, how are you?"
messages = [{"content": user_message, "role": "user"}]
try:
response = await acompletion(
model="clarifai/openai.chat-completion.GPT-4",
messages=messages,
num_retries=3,
timeout=10,
api_key=os.getenv("CLARIFAI_API_KEY"),
)
print(f"response: {response}")
except litellm.Timeout as e:
pass
except Exception as e:
pytest.fail(f"An exception occurred: {e}")
asyncio.run(test_get_response())
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