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update testing for streaming to catch empty responses

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This commit is contained in:
Krrish Dholakia 2023-08-26 11:20:06 -07:00
parent 9008973826
commit 03d023e372
4 changed files with 86 additions and 52 deletions
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dist/litellm-0.1.487-py3-none-any.whl vendored Normal file
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102
litellm/tests/test_streaming.py
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@ -9,7 +9,7 @@ sys.path.insert(
) # Adds the parent directory to the system path
import litellm
from litellm import completion
litellm.logging = False
litellm.logging = True
litellm.set_verbose = True
score = 0
@ -22,25 +22,69 @@ def logger_fn(model_call_object: dict):
user_message = "Hello, how are you?"
messages = [{"content": user_message, "role": "user"}]
# test on anthropic completion call
# test on openai completion call
try:
start_time = time.time()
response = completion(
model="claude-instant-1", messages=messages, stream=True, logger_fn=logger_fn
model="gpt-3.5-turbo", messages=messages, stream=True, logger_fn=logger_fn
)
response = ""
for chunk in response:
chunk_time = time.time()
print(f"time since initial request: {chunk_time - start_time:.2f}")
print(chunk["choices"][0]["delta"])
score += 1
response += chunk["choices"][0]["delta"]
if response == "":
raise Exception("Empty response received")
except:
print(f"error occurred: {traceback.format_exc()}")
pass
# # test on openai completion call
# test on azure completion call
try:
response = completion(
model="azure/chatgpt-test", messages=messages, stream=True, logger_fn=logger_fn
)
response = ""
for chunk in response:
chunk_time = time.time()
print(f"time since initial request: {chunk_time - start_time:.2f}")
print(chunk["choices"][0]["delta"])
response += chunk["choices"][0]["delta"]
if response == "":
raise Exception("Empty response received")
except:
print(f"error occurred: {traceback.format_exc()}")
pass
# test on anthropic completion call
try:
response = completion(
model="claude-instant-1", messages=messages, stream=True, logger_fn=logger_fn
)
response = ""
for chunk in response:
chunk_time = time.time()
print(f"time since initial request: {chunk_time - start_time:.2f}")
print(chunk["choices"][0]["delta"])
response += chunk["choices"][0]["delta"]
if response == "":
raise Exception("Empty response received")
except:
print(f"error occurred: {traceback.format_exc()}")
pass
# # test on huggingface completion call
# try:
# response = completion(
# model="gpt-3.5-turbo", messages=messages, stream=True, logger_fn=logger_fn
# model="meta-llama/Llama-2-7b-chat-hf",
# messages=messages,
# custom_llm_provider="huggingface",
# custom_api_base="https://s7c7gytn18vnu4tw.us-east-1.aws.endpoints.huggingface.cloud",
# stream=True,
# logger_fn=logger_fn,
# )
# for chunk in response:
# print(chunk["choices"][0]["delta"])
@ -48,47 +92,3 @@ except:
# except:
# print(f"error occurred: {traceback.format_exc()}")
# pass
# # test on azure completion call
# try:
# response = completion(
# model="azure/chatgpt-test", messages=messages, stream=True, logger_fn=logger_fn
# )
# for chunk in response:
# print(chunk["choices"][0]["delta"])
# score += 1
# except:
# print(f"error occurred: {traceback.format_exc()}")
# pass
# # test on anthropic completion call
# try:
# response = completion(
# model="claude-instant-1", messages=messages, stream=True, logger_fn=logger_fn
# )
# for chunk in response:
# print(chunk["choices"][0]["delta"])
# score += 1
# except:
# print(f"error occurred: {traceback.format_exc()}")
# pass
# # # test on huggingface completion call
# # try:
# # response = completion(
# # model="meta-llama/Llama-2-7b-chat-hf",
# # messages=messages,
# # custom_llm_provider="huggingface",
# # custom_api_base="https://s7c7gytn18vnu4tw.us-east-1.aws.endpoints.huggingface.cloud",
# # stream=True,
# # logger_fn=logger_fn,
# # )
# # for chunk in response:
# # print(chunk["choices"][0]["delta"])
# # score += 1
# # except:
# # print(f"error occurred: {traceback.format_exc()}")
# # pass

36
poetry.lock generated
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@ -338,6 +338,25 @@ files = [
{file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
]
[[package]]
name = "importlib-metadata"
version = "6.8.0"
description = "Read metadata from Python packages"
optional = false
python-versions = ">=3.8"
files = [
{file = "importlib_metadata-6.8.0-py3-none-any.whl", hash = "sha256:3ebb78df84a805d7698245025b975d9d67053cd94c79245ba4b3eb694abe68bb"},
{file = "importlib_metadata-6.8.0.tar.gz", hash = "sha256:dbace7892d8c0c4ac1ad096662232f831d4e64f4c4545bd53016a3e9d4654743"},
]
[package.dependencies]
zipp = ">=0.5"
[package.extras]
docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
perf = ["ipython"]
testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
[[package]]
name = "multidict"
version = "6.0.4"
@ -744,7 +763,22 @@ files = [
idna = ">=2.0"
multidict = ">=4.0"
[[package]]
name = "zipp"
version = "3.16.2"
description = "Backport of pathlib-compatible object wrapper for zip files"
optional = false
python-versions = ">=3.8"
files = [
{file = "zipp-3.16.2-py3-none-any.whl", hash = "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0"},
{file = "zipp-3.16.2.tar.gz", hash = "sha256:ebc15946aa78bd63458992fc81ec3b6f7b1e92d51c35e6de1c3804e73b799147"},
]
[package.extras]
docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
[metadata]
lock-version = "2.0"
python-versions = "^3.8"
content-hash = "fe7d88d91250950917244f8a6ffc8eba7bfc9aa84314ed6498131172ae4ef3cf"
content-hash = "de77e77aaa3ed490ffa159387c8e70e43361d78b095a975fec950336e54758e6"