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#### What this tests ####
# This tests calling batch_completions by running 100 messages together
import sys, os, time
import traceback, asyncio
import pytest
sys.path.insert(
0, os.path.abspath("../..")
) # Adds the parent directory to the system path
import litellm
from litellm import Router
import concurrent
from dotenv import load_dotenv
load_dotenv()
model_list = [
{ # list of model deployments
"model_name": "gpt-3.5-turbo", # openai model name
"litellm_params": { # params for litellm completion/embedding call
"model": "azure/chatgpt-v-2",
"api_key": "bad-key",
"api_version": os.getenv("AZURE_API_VERSION"),
"api_base": os.getenv("AZURE_API_BASE"),
},
"tpm": 240000,
"rpm": 1800,
},
{
"model_name": "gpt-3.5-turbo", # openai model name
"litellm_params": { # params for litellm completion/embedding call
"model": "gpt-3.5-turbo",
"api_key": os.getenv("OPENAI_API_KEY"),
},
"tpm": 1000000,
"rpm": 9000,
},
]
kwargs = {
"model": "gpt-3.5-turbo",
"messages": [{"role": "user", "content": "Hey, how's it going?"}],
}
def test_multiple_deployments_sync():
import concurrent, time
litellm.set_verbose = False
results = []
router = Router(
model_list=model_list,
redis_host=os.getenv("REDIS_HOST"),
redis_password=os.getenv("REDIS_PASSWORD"),
redis_port=int(os.getenv("REDIS_PORT")), # type: ignore
routing_strategy="simple-shuffle",
set_verbose=True,
num_retries=1,
) # type: ignore
try:
for _ in range(3):
response = router.completion(**kwargs)
results.append(response)
print(results)
router.reset()
except Exception as e:
print(f"FAILED TEST!")
pytest.fail(f"An error occurred - {traceback.format_exc()}")
# test_multiple_deployments_sync()
def test_multiple_deployments_parallel():
litellm.set_verbose = False # Corrected the syntax for setting verbose to False
results = []
futures = {}
start_time = time.time()
router = Router(
model_list=model_list,
redis_host=os.getenv("REDIS_HOST"),
redis_password=os.getenv("REDIS_PASSWORD"),
redis_port=int(os.getenv("REDIS_PORT")), # type: ignore
routing_strategy="simple-shuffle",
set_verbose=True,
num_retries=1,
) # type: ignore
# Assuming you have an executor instance defined somewhere in your code
with concurrent.futures.ThreadPoolExecutor() as executor:
for _ in range(5):
future = executor.submit(router.completion, **kwargs)
futures[future] = future
# Retrieve the results from the futures
while futures:
done, not_done = concurrent.futures.wait(
futures.values(),
timeout=10,
return_when=concurrent.futures.FIRST_COMPLETED,
)
for future in done:
try:
result = future.result()
results.append(result)
del futures[future] # Remove the done future
except Exception as e:
print(f"Exception: {e}; traceback: {traceback.format_exc()}")
del futures[future] # Remove the done future with exception
print(f"Remaining futures: {len(futures)}")
router.reset()
end_time = time.time()
print(results)
print(f"ELAPSED TIME: {end_time - start_time}")
# Assuming litellm, router, and executor are defined somewhere in your code
# test_multiple_deployments_parallel()
def test_cooldown_same_model_name():
# users could have the same model with different api_base
# example
# azure/chatgpt, api_base: 1234
# azure/chatgpt, api_base: 1235
# if 1234 fails, it should only cooldown 1234 and then try with 1235
litellm.set_verbose = False
try:
print("testing cooldown same model name")
model_list = [
{
"model_name": "gpt-3.5-turbo",
"litellm_params": {
"model": "azure/chatgpt-v-2",
"api_key": os.getenv("AZURE_API_KEY"),
"api_version": os.getenv("AZURE_API_VERSION"),
"api_base": "BAD_API_BASE",
"tpm": 90,
},
},
{
"model_name": "gpt-3.5-turbo",
"litellm_params": {
"model": "azure/chatgpt-v-2",
"api_key": os.getenv("AZURE_API_KEY"),
"api_version": os.getenv("AZURE_API_VERSION"),
"api_base": os.getenv("AZURE_API_BASE"),
"tpm": 0.000001,
},
},
]
router = Router(
model_list=model_list,
redis_host=os.getenv("REDIS_HOST"),
redis_password=os.getenv("REDIS_PASSWORD"),
redis_port=int(os.getenv("REDIS_PORT")),
routing_strategy="simple-shuffle",
set_verbose=True,
num_retries=3,
) # type: ignore
response = router.completion(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "hello this request will pass"}],
)
print(router.model_list)
model_ids = []
for model in router.model_list:
model_ids.append(model["model_info"]["id"])
print("\n litellm model ids ", model_ids)
# example litellm_model_names ['azure/chatgpt-v-2-ModelID-64321', 'azure/chatgpt-v-2-ModelID-63960']
assert (
model_ids[0] != model_ids[1]
) # ensure both models have a uuid added, and they have different names
print("\ngot response\n", response)
except Exception as e:
pytest.fail(f"Got unexpected exception on router! - {e}")
test_cooldown_same_model_name()
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