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fix(utils.py): read env variables for known openai-compatible api's (e.g. perplexity), dynamically from th eenvironment

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Krrish Dholakia 2023-10-13 22:43:32 -07:00
parent d77eee34f0
commit 9513d6b862
4 changed files with 9 additions and 7 deletions
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litellm/__pycache__/main.cpython-311.pyc
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litellm/main.py
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@ -257,7 +257,7 @@ def completion(
if deployment_id != None: # azure llms
model=deployment_id
custom_llm_provider="azure"
model, custom_llm_provider = get_llm_provider(model=model, custom_llm_provider=custom_llm_provider, api_base=api_base)
model, custom_llm_provider, dynamic_api_key = get_llm_provider(model=model, custom_llm_provider=custom_llm_provider, api_base=api_base)
model_api_key = get_api_key(llm_provider=custom_llm_provider, dynamic_api_key=api_key) # get the api key from the environment if required for the model
if model_api_key and "sk-litellm" in model_api_key:
api_base = "https://proxy.litellm.ai"
@ -391,6 +391,7 @@ def completion(
# set API KEY
api_key = (
api_key or
dynamic_api_key or # allows us to read env variables for compatible openai api's like perplexity
litellm.api_key or
litellm.openai_key or
get_secret("OPENAI_API_KEY")
@ -1371,7 +1372,7 @@ def embedding(
caching=False,
custom_llm_provider=None,
):
model, custom_llm_provider = get_llm_provider(model, custom_llm_provider)
model, custom_llm_provider, dynamic_api_key = get_llm_provider(model, custom_llm_provider)
try:
response = None
logging = litellm_logging_obj

11
litellm/utils.py
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@ -1405,15 +1405,16 @@ def get_optional_params( # use the openai defaults
def get_llm_provider(model: str, custom_llm_provider: Optional[str] = None, api_base: Optional[str] = None):
try:
dynamic_api_key = None
# check if llm provider provided
if custom_llm_provider:
return model, custom_llm_provider
return model, custom_llm_provider, dynamic_api_key
# check if llm provider part of model name
if model.split("/",1)[0] in litellm.provider_list:
custom_llm_provider = model.split("/", 1)[0]
model = model.split("/", 1)[1]
return model, custom_llm_provider
return model, custom_llm_provider, dynamic_api_key
# check if api base is a known openai compatible endpoint
if api_base:
@ -1421,8 +1422,8 @@ def get_llm_provider(model: str, custom_llm_provider: Optional[str] = None, api_
if endpoint in api_base:
custom_llm_provider = "custom_openai"
if endpoint == "api.perplexity.ai":
litellm.api_key = os.getenv("PERPLEXITYAI_API_KEY")
return model, custom_llm_provider
dynamic_api_key = os.getenv("PERPLEXITYAI_API_KEY")
return model, custom_llm_provider, dynamic_api_key
# check if model in known model provider list -> for huggingface models, raise exception as they don't have a fixed provider (can be togetherai, anyscale, baseten, runpod, et.)
## openai - chatcompletion + text completion
@ -1479,7 +1480,7 @@ def get_llm_provider(model: str, custom_llm_provider: Optional[str] = None, api_
print("\033[1;31mProvider List: https://docs.litellm.ai/docs/providers\033[0m")
print()
raise ValueError(f"LLM Provider NOT provided. Pass in the LLM provider you are trying to call. E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/{model}',..)` Learn more: https://docs.litellm.ai/docs/providers")
return model, custom_llm_provider
return model, custom_llm_provider, dynamic_api_key
except Exception as e:
raise e