forked from phoenix/litellm-mirror
fix(utils.py): fix sync/async stream logging
This commit is contained in:
Krrish Dholakia
parent
074ea17325
commit
25311293e4
1 changed files with 211 additions and 113 deletions
|
|
@ -1,32 +1,35 @@
|
|||
### What this tests ####
|
||||
import sys, os, time, inspect, asyncio, traceback
|
||||
import pytest
|
||||
sys.path.insert(0, os.path.abspath('../..'))
|
||||
|
||||
sys.path.insert(0, os.path.abspath("../.."))
|
||||
|
||||
from litellm import completion, embedding
|
||||
import litellm
|
||||
from litellm.integrations.custom_logger import CustomLogger
|
||||
|
||||
|
||||
class MyCustomHandler(CustomLogger):
|
||||
complete_streaming_response_in_callback = ""
|
||||
|
||||
def __init__(self):
|
||||
self.success: bool = False # type: ignore
|
||||
self.failure: bool = False # type: ignore
|
||||
self.async_success: bool = False # type: ignore
|
||||
self.success: bool = False # type: ignore
|
||||
self.failure: bool = False # type: ignore
|
||||
self.async_success: bool = False # type: ignore
|
||||
self.async_success_embedding: bool = False # type: ignore
|
||||
self.async_failure: bool = False # type: ignore
|
||||
self.async_failure: bool = False # type: ignore
|
||||
self.async_failure_embedding: bool = False # type: ignore
|
||||
|
||||
self.async_completion_kwargs = None # type: ignore
|
||||
self.async_embedding_kwargs = None # type: ignore
|
||||
self.async_embedding_response = None # type: ignore
|
||||
self.async_completion_kwargs = None # type: ignore
|
||||
self.async_embedding_kwargs = None # type: ignore
|
||||
self.async_embedding_response = None # type: ignore
|
||||
|
||||
self.async_completion_kwargs_fail = None # type: ignore
|
||||
self.async_embedding_kwargs_fail = None # type: ignore
|
||||
self.async_completion_kwargs_fail = None # type: ignore
|
||||
self.async_embedding_kwargs_fail = None # type: ignore
|
||||
|
||||
self.stream_collected_response = None # type: ignore
|
||||
self.sync_stream_collected_response = None # type: ignore
|
||||
self.user = None # type: ignore
|
||||
self.stream_collected_response = None # type: ignore
|
||||
self.sync_stream_collected_response = None # type: ignore
|
||||
self.user = None # type: ignore
|
||||
self.data_sent_to_api: dict = {}
|
||||
|
||||
def log_pre_api_call(self, model, messages, kwargs):
|
||||
|
|
@ -45,7 +48,6 @@ class MyCustomHandler(CustomLogger):
|
|||
if kwargs.get("stream") == True:
|
||||
self.sync_stream_collected_response = response_obj
|
||||
|
||||
|
||||
def log_failure_event(self, kwargs, response_obj, start_time, end_time):
|
||||
print(f"On Failure")
|
||||
self.failure = True
|
||||
|
|
@ -72,14 +74,20 @@ class MyCustomHandler(CustomLogger):
|
|||
|
||||
self.async_completion_kwargs_fail = kwargs
|
||||
|
||||
|
||||
class TmpFunction:
|
||||
complete_streaming_response_in_callback = ""
|
||||
async_success: bool = False
|
||||
|
||||
async def async_test_logging_fn(self, kwargs, completion_obj, start_time, end_time):
|
||||
print(f"ON ASYNC LOGGING")
|
||||
self.async_success = True
|
||||
print(f'kwargs.get("complete_streaming_response"): {kwargs.get("complete_streaming_response")}')
|
||||
self.complete_streaming_response_in_callback = kwargs.get("complete_streaming_response")
|
||||
print(
|
||||
f'kwargs.get("complete_streaming_response"): {kwargs.get("complete_streaming_response")}'
|
||||
)
|
||||
self.complete_streaming_response_in_callback = kwargs.get(
|
||||
"complete_streaming_response"
|
||||
)
|
||||
|
||||
|
||||
def test_async_chat_openai_stream():
|
||||
|
|
@ -88,29 +96,39 @@ def test_async_chat_openai_stream():
|
|||
# litellm.set_verbose = True
|
||||
litellm.success_callback = [tmp_function.async_test_logging_fn]
|
||||
complete_streaming_response = ""
|
||||
|
||||
async def call_gpt():
|
||||
nonlocal complete_streaming_response
|
||||
response = await litellm.acompletion(model="gpt-3.5-turbo",
|
||||
messages=[{
|
||||
"role": "user",
|
||||
"content": "Hi 👋 - i'm openai"
|
||||
}],
|
||||
stream=True)
|
||||
response = await litellm.acompletion(
|
||||
model="gpt-3.5-turbo",
|
||||
messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}],
|
||||
stream=True,
|
||||
)
|
||||
async for chunk in response:
|
||||
complete_streaming_response += chunk["choices"][0]["delta"]["content"] or ""
|
||||
complete_streaming_response += (
|
||||
chunk["choices"][0]["delta"]["content"] or ""
|
||||
)
|
||||
print(complete_streaming_response)
|
||||
|
||||
asyncio.run(call_gpt())
|
||||
complete_streaming_response = complete_streaming_response.strip("'")
|
||||
response1 = tmp_function.complete_streaming_response_in_callback["choices"][0]["message"]["content"]
|
||||
response1 = tmp_function.complete_streaming_response_in_callback["choices"][0][
|
||||
"message"
|
||||
]["content"]
|
||||
response2 = complete_streaming_response
|
||||
# assert [ord(c) for c in response1] == [ord(c) for c in response2]
|
||||
print(f"response1: {response1}")
|
||||
print(f"response2: {response2}")
|
||||
assert response1 == response2
|
||||
assert tmp_function.async_success == True
|
||||
except Exception as e:
|
||||
print(e)
|
||||
pytest.fail(f"An error occurred - {str(e)}")
|
||||
|
||||
|
||||
# test_async_chat_openai_stream()
|
||||
|
||||
|
||||
def test_completion_azure_stream_moderation_failure():
|
||||
try:
|
||||
customHandler = MyCustomHandler()
|
||||
|
|
@ -152,27 +170,32 @@ def test_async_custom_handler_stream():
|
|||
},
|
||||
]
|
||||
complete_streaming_response = ""
|
||||
|
||||
async def test_1():
|
||||
nonlocal complete_streaming_response
|
||||
response = await litellm.acompletion(
|
||||
model="azure/chatgpt-v-2",
|
||||
messages=messages,
|
||||
stream=True
|
||||
model="azure/chatgpt-v-2", messages=messages, stream=True
|
||||
)
|
||||
async for chunk in response:
|
||||
complete_streaming_response += chunk["choices"][0]["delta"]["content"] or ""
|
||||
complete_streaming_response += (
|
||||
chunk["choices"][0]["delta"]["content"] or ""
|
||||
)
|
||||
print(complete_streaming_response)
|
||||
|
||||
asyncio.run(test_1())
|
||||
|
||||
response_in_success_handler = customHandler2.stream_collected_response
|
||||
response_in_success_handler = response_in_success_handler["choices"][0]["message"]["content"]
|
||||
response_in_success_handler = response_in_success_handler["choices"][0][
|
||||
"message"
|
||||
]["content"]
|
||||
print("\n\n")
|
||||
print("response_in_success_handler: ", response_in_success_handler)
|
||||
print("complete_streaming_response: ", complete_streaming_response)
|
||||
assert response_in_success_handler == complete_streaming_response
|
||||
except Exception as e:
|
||||
pytest.fail(f"Error occurred: {e}")
|
||||
|
||||
|
||||
# test_async_custom_handler_stream()
|
||||
|
||||
|
||||
|
|
@ -194,17 +217,17 @@ def test_azure_completion_stream():
|
|||
complete_streaming_response = ""
|
||||
|
||||
response = litellm.completion(
|
||||
model="azure/chatgpt-v-2",
|
||||
messages=messages,
|
||||
stream=True
|
||||
model="azure/chatgpt-v-2", messages=messages, stream=True
|
||||
)
|
||||
for chunk in response:
|
||||
complete_streaming_response += chunk["choices"][0]["delta"]["content"] or ""
|
||||
print(complete_streaming_response)
|
||||
|
||||
time.sleep(0.5) # wait 1/2 second before checking callbacks
|
||||
time.sleep(0.5) # wait 1/2 second before checking callbacks
|
||||
response_in_success_handler = customHandler2.sync_stream_collected_response
|
||||
response_in_success_handler = response_in_success_handler["choices"][0]["message"]["content"]
|
||||
response_in_success_handler = response_in_success_handler["choices"][0][
|
||||
"message"
|
||||
]["content"]
|
||||
print("\n\n")
|
||||
print("response_in_success_handler: ", response_in_success_handler)
|
||||
print("complete_streaming_response: ", complete_streaming_response)
|
||||
|
|
@ -212,6 +235,7 @@ def test_azure_completion_stream():
|
|||
except Exception as e:
|
||||
pytest.fail(f"Error occurred: {e}")
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_async_custom_handler_completion():
|
||||
try:
|
||||
|
|
@ -221,15 +245,22 @@ async def test_async_custom_handler_completion():
|
|||
assert customHandler_success.async_success == False
|
||||
litellm.callbacks = [customHandler_success]
|
||||
response = await litellm.acompletion(
|
||||
model="gpt-3.5-turbo",
|
||||
messages=[{
|
||||
model="gpt-3.5-turbo",
|
||||
messages=[
|
||||
{
|
||||
"role": "user",
|
||||
"content": "hello from litellm test",
|
||||
}]
|
||||
)
|
||||
}
|
||||
],
|
||||
)
|
||||
await asyncio.sleep(1)
|
||||
assert customHandler_success.async_success == True, "async success is not set to True even after success"
|
||||
assert customHandler_success.async_completion_kwargs.get("model") == "gpt-3.5-turbo"
|
||||
assert (
|
||||
customHandler_success.async_success == True
|
||||
), "async success is not set to True even after success"
|
||||
assert (
|
||||
customHandler_success.async_completion_kwargs.get("model")
|
||||
== "gpt-3.5-turbo"
|
||||
)
|
||||
# failure
|
||||
litellm.callbacks = [customHandler_failure]
|
||||
messages = [
|
||||
|
|
@ -243,21 +274,34 @@ async def test_async_custom_handler_completion():
|
|||
assert customHandler_failure.async_failure == False
|
||||
try:
|
||||
response = await litellm.acompletion(
|
||||
model="gpt-3.5-turbo",
|
||||
messages=messages,
|
||||
api_key="my-bad-key",
|
||||
)
|
||||
model="gpt-3.5-turbo",
|
||||
messages=messages,
|
||||
api_key="my-bad-key",
|
||||
)
|
||||
except:
|
||||
pass
|
||||
assert customHandler_failure.async_failure == True, "async failure is not set to True even after failure"
|
||||
assert customHandler_failure.async_completion_kwargs_fail.get("model") == "gpt-3.5-turbo"
|
||||
assert len(str(customHandler_failure.async_completion_kwargs_fail.get("exception"))) > 10 # expect APIError("OpenAIException - Error code: 401 - {'error': {'message': 'Incorrect API key provided: test. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}"), 'traceback_exception': 'Traceback (most recent call last):\n File "/Users/ishaanjaffer/Github/litellm/litellm/llms/openai.py", line 269, in acompletion\n response = await openai_aclient.chat.completions.create(**data)\n File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 119
|
||||
assert (
|
||||
customHandler_failure.async_failure == True
|
||||
), "async failure is not set to True even after failure"
|
||||
assert (
|
||||
customHandler_failure.async_completion_kwargs_fail.get("model")
|
||||
== "gpt-3.5-turbo"
|
||||
)
|
||||
assert (
|
||||
len(
|
||||
str(customHandler_failure.async_completion_kwargs_fail.get("exception"))
|
||||
)
|
||||
> 10
|
||||
) # expect APIError("OpenAIException - Error code: 401 - {'error': {'message': 'Incorrect API key provided: test. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}"), 'traceback_exception': 'Traceback (most recent call last):\n File "/Users/ishaanjaffer/Github/litellm/litellm/llms/openai.py", line 269, in acompletion\n response = await openai_aclient.chat.completions.create(**data)\n File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 119
|
||||
litellm.callbacks = []
|
||||
print("Passed setting async failure")
|
||||
except Exception as e:
|
||||
pytest.fail(f"An exception occurred - {str(e)}")
|
||||
|
||||
|
||||
# asyncio.run(test_async_custom_handler_completion())
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_async_custom_handler_embedding():
|
||||
try:
|
||||
|
|
@ -266,31 +310,54 @@ async def test_async_custom_handler_embedding():
|
|||
# success
|
||||
assert customHandler_embedding.async_success_embedding == False
|
||||
response = await litellm.aembedding(
|
||||
model="text-embedding-ada-002",
|
||||
input = ["hello world"],
|
||||
)
|
||||
model="text-embedding-ada-002",
|
||||
input=["hello world"],
|
||||
)
|
||||
await asyncio.sleep(1)
|
||||
assert customHandler_embedding.async_success_embedding == True, "async_success_embedding is not set to True even after success"
|
||||
assert customHandler_embedding.async_embedding_kwargs.get("model") == "text-embedding-ada-002"
|
||||
assert customHandler_embedding.async_embedding_response["usage"]["prompt_tokens"] ==2
|
||||
assert (
|
||||
customHandler_embedding.async_success_embedding == True
|
||||
), "async_success_embedding is not set to True even after success"
|
||||
assert (
|
||||
customHandler_embedding.async_embedding_kwargs.get("model")
|
||||
== "text-embedding-ada-002"
|
||||
)
|
||||
assert (
|
||||
customHandler_embedding.async_embedding_response["usage"]["prompt_tokens"]
|
||||
== 2
|
||||
)
|
||||
print("Passed setting async success: Embedding")
|
||||
# failure
|
||||
assert customHandler_embedding.async_failure_embedding == False
|
||||
try:
|
||||
response = await litellm.aembedding(
|
||||
model="text-embedding-ada-002",
|
||||
input = ["hello world"],
|
||||
api_key="my-bad-key",
|
||||
)
|
||||
model="text-embedding-ada-002",
|
||||
input=["hello world"],
|
||||
api_key="my-bad-key",
|
||||
)
|
||||
except:
|
||||
pass
|
||||
assert customHandler_embedding.async_failure_embedding == True, "async failure embedding is not set to True even after failure"
|
||||
assert customHandler_embedding.async_embedding_kwargs_fail.get("model") == "text-embedding-ada-002"
|
||||
assert len(str(customHandler_embedding.async_embedding_kwargs_fail.get("exception"))) > 10 # exppect APIError("OpenAIException - Error code: 401 - {'error': {'message': 'Incorrect API key provided: test. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}"), 'traceback_exception': 'Traceback (most recent call last):\n File "/Users/ishaanjaffer/Github/litellm/litellm/llms/openai.py", line 269, in acompletion\n response = await openai_aclient.chat.completions.create(**data)\n File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 119
|
||||
assert (
|
||||
customHandler_embedding.async_failure_embedding == True
|
||||
), "async failure embedding is not set to True even after failure"
|
||||
assert (
|
||||
customHandler_embedding.async_embedding_kwargs_fail.get("model")
|
||||
== "text-embedding-ada-002"
|
||||
)
|
||||
assert (
|
||||
len(
|
||||
str(
|
||||
customHandler_embedding.async_embedding_kwargs_fail.get("exception")
|
||||
)
|
||||
)
|
||||
> 10
|
||||
) # exppect APIError("OpenAIException - Error code: 401 - {'error': {'message': 'Incorrect API key provided: test. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}"), 'traceback_exception': 'Traceback (most recent call last):\n File "/Users/ishaanjaffer/Github/litellm/litellm/llms/openai.py", line 269, in acompletion\n response = await openai_aclient.chat.completions.create(**data)\n File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 119
|
||||
except Exception as e:
|
||||
pytest.fail(f"An exception occurred - {str(e)}")
|
||||
|
||||
|
||||
# asyncio.run(test_async_custom_handler_embedding())
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_async_custom_handler_embedding_optional_param():
|
||||
"""
|
||||
|
|
@ -300,16 +367,19 @@ async def test_async_custom_handler_embedding_optional_param():
|
|||
customHandler_optional_params = MyCustomHandler()
|
||||
litellm.callbacks = [customHandler_optional_params]
|
||||
response = await litellm.aembedding(
|
||||
model="azure/azure-embedding-model",
|
||||
input = ["hello world"],
|
||||
user = "John"
|
||||
)
|
||||
await asyncio.sleep(1) # success callback is async
|
||||
model="azure/azure-embedding-model", input=["hello world"], user="John"
|
||||
)
|
||||
await asyncio.sleep(1) # success callback is async
|
||||
assert customHandler_optional_params.user == "John"
|
||||
assert customHandler_optional_params.user == customHandler_optional_params.data_sent_to_api["user"]
|
||||
assert (
|
||||
customHandler_optional_params.user
|
||||
== customHandler_optional_params.data_sent_to_api["user"]
|
||||
)
|
||||
|
||||
|
||||
# asyncio.run(test_async_custom_handler_embedding_optional_param())
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_async_custom_handler_embedding_optional_param_bedrock():
|
||||
"""
|
||||
|
|
@ -323,42 +393,68 @@ async def test_async_custom_handler_embedding_optional_param_bedrock():
|
|||
customHandler_optional_params = MyCustomHandler()
|
||||
litellm.callbacks = [customHandler_optional_params]
|
||||
response = await litellm.aembedding(
|
||||
model="bedrock/amazon.titan-embed-text-v1",
|
||||
input = ["hello world"],
|
||||
user = "John"
|
||||
)
|
||||
await asyncio.sleep(1) # success callback is async
|
||||
model="bedrock/amazon.titan-embed-text-v1", input=["hello world"], user="John"
|
||||
)
|
||||
await asyncio.sleep(1) # success callback is async
|
||||
assert customHandler_optional_params.user == "John"
|
||||
assert "user" not in customHandler_optional_params.data_sent_to_api
|
||||
|
||||
|
||||
def test_redis_cache_completion_stream():
|
||||
from litellm import Cache
|
||||
|
||||
# Important Test - This tests if we can add to streaming cache, when custom callbacks are set
|
||||
import random
|
||||
|
||||
try:
|
||||
print("\nrunning test_redis_cache_completion_stream")
|
||||
litellm.set_verbose = True
|
||||
random_number = random.randint(1, 100000) # add a random number to ensure it's always adding / reading from cache
|
||||
messages = [{"role": "user", "content": f"write a one sentence poem about: {random_number}"}]
|
||||
litellm.cache = Cache(type="redis", host=os.environ['REDIS_HOST'], port=os.environ['REDIS_PORT'], password=os.environ['REDIS_PASSWORD'])
|
||||
random_number = random.randint(
|
||||
1, 100000
|
||||
) # add a random number to ensure it's always adding / reading from cache
|
||||
messages = [
|
||||
{
|
||||
"role": "user",
|
||||
"content": f"write a one sentence poem about: {random_number}",
|
||||
}
|
||||
]
|
||||
litellm.cache = Cache(
|
||||
type="redis",
|
||||
host=os.environ["REDIS_HOST"],
|
||||
port=os.environ["REDIS_PORT"],
|
||||
password=os.environ["REDIS_PASSWORD"],
|
||||
)
|
||||
print("test for caching, streaming + completion")
|
||||
response1 = completion(model="gpt-3.5-turbo", messages=messages, max_tokens=40, temperature=0.2, stream=True)
|
||||
response1 = completion(
|
||||
model="gpt-3.5-turbo",
|
||||
messages=messages,
|
||||
max_tokens=40,
|
||||
temperature=0.2,
|
||||
stream=True,
|
||||
)
|
||||
response_1_content = ""
|
||||
for chunk in response1:
|
||||
print(chunk)
|
||||
response_1_content += chunk.choices[0].delta.content or ""
|
||||
print(response_1_content)
|
||||
|
||||
time.sleep(0.1) # sleep for 0.1 seconds allow set cache to occur
|
||||
response2 = completion(model="gpt-3.5-turbo", messages=messages, max_tokens=40, temperature=0.2, stream=True)
|
||||
time.sleep(0.1) # sleep for 0.1 seconds allow set cache to occur
|
||||
response2 = completion(
|
||||
model="gpt-3.5-turbo",
|
||||
messages=messages,
|
||||
max_tokens=40,
|
||||
temperature=0.2,
|
||||
stream=True,
|
||||
)
|
||||
response_2_content = ""
|
||||
for chunk in response2:
|
||||
print(chunk)
|
||||
response_2_content += chunk.choices[0].delta.content or ""
|
||||
print("\nresponse 1", response_1_content)
|
||||
print("\nresponse 2", response_2_content)
|
||||
assert response_1_content == response_2_content, f"Response 1 != Response 2. Same params, Response 1{response_1_content} != Response 2{response_2_content}"
|
||||
assert (
|
||||
response_1_content == response_2_content
|
||||
), f"Response 1 != Response 2. Same params, Response 1{response_1_content} != Response 2{response_2_content}"
|
||||
litellm.success_callback = []
|
||||
litellm._async_success_callback = []
|
||||
litellm.cache = None
|
||||
|
|
@ -366,4 +462,6 @@ def test_redis_cache_completion_stream():
|
|||
print(e)
|
||||
litellm.success_callback = []
|
||||
raise e
|
||||
|
||||
|
||||
# test_redis_cache_completion_stream()
|
||||
Loading…
Add table
Add a link
Reference in a new issue