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import asyncio
import os
import sys
import traceback
from dotenv import load_dotenv
import litellm.types
import litellm.types.utils
from litellm.llms.anthropic.chat import ModelResponseIterator
load_dotenv()
import io
import os
sys.path.insert(
0, os.path.abspath("../..")
) # Adds the parent directory to the system path
from typing import Optional
from unittest.mock import MagicMock, patch
import pytest
@pytest.mark.asyncio
@pytest.mark.parametrize("model", ["claude-2", "anthropic/claude-2"])
@pytest.mark.flaky(retries=6, delay=1)
async def test_acompletion_claude2(model):
try:
litellm.set_verbose = True
messages = [
{
"role": "system",
"content": "Your goal is generate a joke on the topic user gives.",
},
{"role": "user", "content": "Generate a 3 liner joke for me"},
]
# test without max-tokens
response = await litellm.acompletion(model=model, messages=messages)
# Add any assertions here to check the response
print(response)
print(response.usage)
print(response.usage.completion_tokens)
print(response["usage"]["completion_tokens"])
# print("new cost tracking")
except litellm.InternalServerError:
pytest.skip("model is overloaded.")
except Exception as e:
pytest.fail(f"Error occurred: {e}")
@pytest.mark.asyncio
async def test_acompletion_claude2_stream():
try:
litellm.set_verbose = False
messages = [
{
"role": "system",
"content": "Your goal is generate a joke on the topic user gives.",
},
{"role": "user", "content": "Generate a 3 liner joke for me"},
]
# test without max-tokens
response = await litellm.acompletion(
model="anthropic_text/claude-2",
messages=messages,
stream=True,
max_tokens=10,
)
async for chunk in response:
print(chunk)
except Exception as e:
pytest.fail(f"Error occurred: {e}")
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