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(test) router - read os.environ/ OpenAI

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ishaan-jaff 2023-12-06 10:56:27 -08:00
parent 8f47293ce8
commit cc48b35a8d
1 changed files with 71 additions and 1 deletions
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72
litellm/tests/test_router.py
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@ -742,4 +742,74 @@ def test_reading_keys_os_environ():
traceback.print_exc()
pytest.fail(f"Error occurred: {e}")
test_reading_keys_os_environ()
test_reading_keys_os_environ()
def test_reading_openai_keys_os_environ():
import openai
try:
model_list = [
{
"model_name": "gpt-3.5-turbo",
"litellm_params": {
"model": "gpt-3.5-turbo",
"api_key": "os.environ/OPENAI_API_KEY",
"timeout": "os.environ/AZURE_TIMEOUT",
"stream_timeout": "os.environ/AZURE_STREAM_TIMEOUT",
"max_retries": "os.environ/AZURE_MAX_RETRIES",
},
},
{
"model_name": "text-embedding-ada-002",
"litellm_params": {
"model": "text-embedding-ada-002",
"api_key": "os.environ/OPENAI_API_KEY",
"timeout": "os.environ/AZURE_TIMEOUT",
"stream_timeout": "os.environ/AZURE_STREAM_TIMEOUT",
"max_retries": "os.environ/AZURE_MAX_RETRIES",
},
},
]
router = Router(model_list=model_list)
for model in router.model_list:
assert model["litellm_params"]["api_key"] == os.environ["OPENAI_API_KEY"], f"{model['litellm_params']['api_key']} vs {os.environ['AZURE_API_KEY']}"
assert float(model["litellm_params"]["timeout"]) == float(os.environ["AZURE_TIMEOUT"]), f"{model['litellm_params']['timeout']} vs {os.environ['AZURE_TIMEOUT']}"
assert float(model["litellm_params"]["stream_timeout"]) == float(os.environ["AZURE_STREAM_TIMEOUT"]), f"{model['litellm_params']['stream_timeout']} vs {os.environ['AZURE_STREAM_TIMEOUT']}"
assert int(model["litellm_params"]["max_retries"]) == int(os.environ["AZURE_MAX_RETRIES"]), f"{model['litellm_params']['max_retries']} vs {os.environ['AZURE_MAX_RETRIES']}"
print("passed testing of reading keys from os.environ")
async_client: openai.AsyncOpenAI = model["async_client"] # type: ignore
assert async_client.api_key == os.environ["OPENAI_API_KEY"]
assert async_client.max_retries == (os.environ["AZURE_MAX_RETRIES"]), f"{async_client.max_retries} vs {os.environ['AZURE_MAX_RETRIES']}"
assert async_client.timeout == (os.environ["AZURE_TIMEOUT"]), f"{async_client.timeout} vs {os.environ['AZURE_TIMEOUT']}"
print("async client set correctly!")
print("\n Testing async streaming client")
stream_async_client: openai.AsyncOpenAI = model["stream_async_client"] # type: ignore
assert stream_async_client.api_key == os.environ["OPENAI_API_KEY"]
assert stream_async_client.max_retries == (os.environ["AZURE_MAX_RETRIES"]), f"{stream_async_client.max_retries} vs {os.environ['AZURE_MAX_RETRIES']}"
assert stream_async_client.timeout == (os.environ["AZURE_STREAM_TIMEOUT"]), f"{stream_async_client.timeout} vs {os.environ['AZURE_TIMEOUT']}"
print("async stream client set correctly!")
print("\n Testing sync client")
client: openai.AzureOpenAI = model["client"] # type: ignore
assert client.api_key == os.environ["OPENAI_API_KEY"]
assert client.max_retries == (os.environ["AZURE_MAX_RETRIES"]), f"{client.max_retries} vs {os.environ['AZURE_MAX_RETRIES']}"
assert client.timeout == (os.environ["AZURE_TIMEOUT"]), f"{client.timeout} vs {os.environ['AZURE_TIMEOUT']}"
print("sync client set correctly!")
print("\n Testing sync stream client")
stream_client: openai.AzureOpenAI = model["stream_client"] # type: ignore
assert stream_client.api_key == os.environ["OPENAI_API_KEY"]
assert stream_client.max_retries == (os.environ["AZURE_MAX_RETRIES"]), f"{stream_client.max_retries} vs {os.environ['AZURE_MAX_RETRIES']}"
assert stream_client.timeout == (os.environ["AZURE_STREAM_TIMEOUT"]), f"{stream_client.timeout} vs {os.environ['AZURE_TIMEOUT']}"
print("sync stream client set correctly!")
router.reset()
except Exception as e:
traceback.print_exc()
pytest.fail(f"Error occurred: {e}")
# test_reading_openai_keys_os_environ()