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import sys
import os
import io, asyncio
# import logging
# logging.basicConfig(level=logging.DEBUG)
sys.path.insert(0, os.path.abspath("../.."))
from litellm import completion
import litellm
litellm.num_retries = 3
import time, random
import pytest
import boto3
from litellm._logging import verbose_logger
import logging
@pytest.mark.asyncio
@pytest.mark.parametrize(
"sync_mode,streaming", [(True, True), (True, False), (False, True), (False, False)]
)
@pytest.mark.flaky(retries=3, delay=1)
async def test_basic_s3_logging(sync_mode, streaming):
verbose_logger.setLevel(level=logging.DEBUG)
litellm.success_callback = ["s3"]
litellm.s3_callback_params = {
"s3_bucket_name": "load-testing-oct",
"s3_aws_secret_access_key": "os.environ/AWS_SECRET_ACCESS_KEY",
"s3_aws_access_key_id": "os.environ/AWS_ACCESS_KEY_ID",
"s3_region_name": "us-west-2",
}
litellm.set_verbose = True
response_id = None
if sync_mode is True:
response = litellm.completion(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "This is a test"}],
mock_response="It's simple to use and easy to get started",
stream=streaming,
)
if streaming:
for chunk in response:
print()
response_id = chunk.id
else:
response_id = response.id
time.sleep(2)
else:
response = await litellm.acompletion(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "This is a test"}],
mock_response="It's simple to use and easy to get started",
stream=streaming,
)
if streaming:
async for chunk in response:
print(chunk)
response_id = chunk.id
else:
response_id = response.id
await asyncio.sleep(2)
print(f"response: {response}")
total_objects, all_s3_keys = list_all_s3_objects("load-testing-oct")
# assert that atlest one key has response.id in it
assert any(response_id in key for key in all_s3_keys)
s3 = boto3.client("s3")
# delete all objects
for key in all_s3_keys:
s3.delete_object(Bucket="load-testing-oct", Key=key)
@pytest.mark.asyncio
@pytest.mark.parametrize(
"streaming", [(True)]
)
async def test_basic_s3_v2_logging(streaming):
from blockbuster import BlockBuster
from litellm.integrations.s3_v2 import S3Logger
s3_v2_logger = S3Logger(s3_flush_interval=1)
litellm.callbacks = [s3_v2_logger]
blockbuster = BlockBuster()
blockbuster.activate()
litellm._turn_on_debug()
litellm.callbacks = ["s3_v2"]
litellm.s3_callback_params = {
"s3_bucket_name": "load-testing-oct",
"s3_aws_secret_access_key": "os.environ/AWS_SECRET_ACCESS_KEY",
"s3_aws_access_key_id": "os.environ/AWS_ACCESS_KEY_ID",
"s3_region_name": "us-west-2",
}
litellm.set_verbose = True
response_id = None
response = await litellm.acompletion(
model="gpt-4o-mini",
messages=[{"role": "user", "content": "This is a test"}],
stream=streaming,
)
if streaming:
async for chunk in response:
print(chunk)
response_id = chunk.id
else:
response_id = response.id
await asyncio.sleep(30)
print(f"response: {response}")
# stop blockbuster
blockbuster.deactivate()
total_objects, all_s3_keys = list_all_s3_objects("load-testing-oct")
print(f"all_s3_keys: {all_s3_keys}")
#assert that atlest one key has response.id in it
assert any(response_id in key for key in all_s3_keys)
s3 = boto3.client("s3")
# delete all objects
for key in all_s3_keys:
s3.delete_object(Bucket="load-testing-oct", Key=key)
def list_all_s3_objects(bucket_name):
s3 = boto3.client("s3")
all_s3_keys = []
paginator = s3.get_paginator("list_objects_v2")
total_objects = 0
for page in paginator.paginate(Bucket=bucket_name):
if "Contents" in page:
total_objects += len(page["Contents"])
all_s3_keys.extend([obj["Key"] for obj in page["Contents"]])
print(f"Total number of objects in {bucket_name}: {total_objects}")
print(all_s3_keys)
return total_objects, all_s3_keys
list_all_s3_objects("load-testing-oct")
@pytest.mark.skip(reason="AWS Suspended Account")
def test_s3_logging():
# all s3 requests need to be in one test function
# since we are modifying stdout, and pytests runs tests in parallel
# on circle ci - we only test litellm.acompletion()
try:
# redirect stdout to log_file
litellm.cache = litellm.Cache(
type="s3",
s3_bucket_name="litellm-my-test-bucket-2",
s3_region_name="us-east-1",
)
litellm.success_callback = ["s3"]
litellm.s3_callback_params = {
"s3_bucket_name": "litellm-logs-2",
"s3_aws_secret_access_key": "os.environ/AWS_SECRET_ACCESS_KEY",
"s3_aws_access_key_id": "os.environ/AWS_ACCESS_KEY_ID",
}
litellm.set_verbose = True
print("Testing async s3 logging")
expected_keys = []
import time
curr_time = str(time.time())
async def _test():
return await litellm.acompletion(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": f"This is a test {curr_time}"}],
max_tokens=10,
temperature=0.7,
user="ishaan-2",
)
response = asyncio.run(_test())
print(f"response: {response}")
expected_keys.append(response.id)
async def _test():
return await litellm.acompletion(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": f"This is a test {curr_time}"}],
max_tokens=10,
temperature=0.7,
user="ishaan-2",
)
response = asyncio.run(_test())
expected_keys.append(response.id)
print(f"response: {response}")
time.sleep(5) # wait 5s for logs to land
import boto3
s3 = boto3.client("s3")
bucket_name = "litellm-logs-2"
# List objects in the bucket
response = s3.list_objects(Bucket=bucket_name)
# Sort the objects based on the LastModified timestamp
objects = sorted(
response["Contents"], key=lambda x: x["LastModified"], reverse=True
)
# Get the keys of the most recent objects
most_recent_keys = [obj["Key"] for obj in objects]
print(most_recent_keys)
# for each key, get the part before "-" as the key. Do it safely
cleaned_keys = []
for key in most_recent_keys:
split_key = key.split("_")
if len(split_key) < 2:
continue
cleaned_keys.append(split_key[1])
print("\n most recent keys", most_recent_keys)
print("\n cleaned keys", cleaned_keys)
print("\n Expected keys: ", expected_keys)
matches = 0
for key in expected_keys:
key += ".json"
assert key in cleaned_keys
if key in cleaned_keys:
matches += 1
# remove the match key
cleaned_keys.remove(key)
# this asserts we log, the first request + the 2nd cached request
print("we had two matches ! passed ", matches)
assert matches == 2
try:
# cleanup s3 bucket in test
for key in most_recent_keys:
s3.delete_object(Bucket=bucket_name, Key=key)
except Exception:
# don't let cleanup fail a test
pass
except Exception as e:
pytest.fail(f"An exception occurred - {e}")
finally:
# post, close log file and verify
# Reset stdout to the original value
print("Passed! Testing async s3 logging")
# test_s3_logging()
@pytest.mark.skip(reason="AWS Suspended Account")
def test_s3_logging_async():
# this tests time added to make s3 logging calls, vs just acompletion calls
try:
litellm.set_verbose = True
# Make 5 calls with an empty success_callback
litellm.success_callback = []
start_time_empty_callback = asyncio.run(make_async_calls())
print("done with no callback test")
print("starting s3 logging load test")
# Make 5 calls with success_callback set to "langfuse"
litellm.success_callback = ["s3"]
litellm.s3_callback_params = {
"s3_bucket_name": "litellm-logs-2",
"s3_aws_secret_access_key": "os.environ/AWS_SECRET_ACCESS_KEY",
"s3_aws_access_key_id": "os.environ/AWS_ACCESS_KEY_ID",
}
start_time_s3 = asyncio.run(make_async_calls())
print("done with s3 test")
# Compare the time for both scenarios
print(f"Time taken with success_callback='s3': {start_time_s3}")
print(f"Time taken with empty success_callback: {start_time_empty_callback}")
# assert the diff is not more than 1 second
assert abs(start_time_s3 - start_time_empty_callback) < 1
except litellm.Timeout as e:
pass
except Exception as e:
pytest.fail(f"An exception occurred - {e}")
async def make_async_calls():
tasks = []
for _ in range(5):
task = asyncio.create_task(
litellm.acompletion(
model="azure/chatgpt-v-3",
messages=[{"role": "user", "content": "This is a test"}],
max_tokens=5,
temperature=0.7,
timeout=5,
user="langfuse_latency_test_user",
mock_response="It's simple to use and easy to get started",
)
)
tasks.append(task)
# Measure the start time before running the tasks
start_time = asyncio.get_event_loop().time()
# Wait for all tasks to complete
responses = await asyncio.gather(*tasks)
# Print the responses when tasks return
for idx, response in enumerate(responses):
print(f"Response from Task {idx + 1}: {response}")
# Calculate the total time taken
total_time = asyncio.get_event_loop().time() - start_time
return total_time
@pytest.mark.skip(reason="flaky test on ci/cd")
def test_s3_logging_r2():
# all s3 requests need to be in one test function
# since we are modifying stdout, and pytests runs tests in parallel
# on circle ci - we only test litellm.acompletion()
try:
# redirect stdout to log_file
# litellm.cache = litellm.Cache(
# type="s3", s3_bucket_name="litellm-r2-bucket", s3_region_name="us-west-2"
# )
litellm.set_verbose = True
from litellm._logging import verbose_logger
import logging
verbose_logger.setLevel(level=logging.DEBUG)
litellm.success_callback = ["s3"]
litellm.s3_callback_params = {
"s3_bucket_name": "litellm-r2-bucket",
"s3_aws_secret_access_key": "os.environ/R2_S3_ACCESS_KEY",
"s3_aws_access_key_id": "os.environ/R2_S3_ACCESS_ID",
"s3_endpoint_url": "os.environ/R2_S3_URL",
"s3_region_name": "os.environ/R2_S3_REGION_NAME",
}
print("Testing async s3 logging")
expected_keys = []
import time
curr_time = str(time.time())
async def _test():
return await litellm.acompletion(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": f"This is a test {curr_time}"}],
max_tokens=10,
temperature=0.7,
user="ishaan-2",
)
response = asyncio.run(_test())
print(f"response: {response}")
expected_keys.append(response.id)
import boto3
s3 = boto3.client(
"s3",
endpoint_url=os.getenv("R2_S3_URL"),
region_name=os.getenv("R2_S3_REGION_NAME"),
aws_access_key_id=os.getenv("R2_S3_ACCESS_ID"),
aws_secret_access_key=os.getenv("R2_S3_ACCESS_KEY"),
)
bucket_name = "litellm-r2-bucket"
# List objects in the bucket
response = s3.list_objects(Bucket=bucket_name)
except Exception as e:
pytest.fail(f"An exception occurred - {e}")
finally:
# post, close log file and verify
# Reset stdout to the original value
print("Passed! Testing async s3 logging")
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