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refactor(llm.py): fixes linting issues

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This commit is contained in:
Krrish Dholakia 2023-10-17 13:07:21 -07:00
parent 0f26458fcf
commit e34e6429a7
2 changed files with 9 additions and 9 deletions
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12
litellm/proxy/llm.py
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@ -10,7 +10,7 @@ import openai.error
import litellm
from litellm.utils import trim_messages
import litellm.exceptions
from litellm.exceptions import ServiceUnavailableError, InvalidRequestError
cost_dict: Dict[str, Dict[str, float]] = defaultdict(dict)
cost_dict_lock = threading.Lock()
@ -50,16 +50,16 @@ class UnknownLLMError(Exception):
def handle_llm_exception(e: Exception, user_api_base: Optional[str]=None):
print(f"\033[1;31mLiteLLM.Exception: {str(e)}\033[0m")
if isinstance(e, openai.error.ServiceUnavailableError) and e.llm_provider == "ollama":
if isinstance(e, ServiceUnavailableError) and e.llm_provider == "ollama": # type: ignore
run_ollama_serve()
if isinstance(e, openai.error.InvalidRequestError) and e.llm_provider == "ollama":
if isinstance(e, InvalidRequestError) and e.llm_provider == "ollama": # type: ignore
completion_call_details = {}
completion_call_details["model"] = e.model
completion_call_details["model"] = e.model # type: ignore
if user_api_base:
completion_call_details["api_base"] = user_api_base
else:
completion_call_details["api_base"] = None
print(f"\033[1;31mLiteLLM.Exception: Invalid API Call. Call details: Model: \033[1;37m{e.model}\033[1;31m; LLM Provider: \033[1;37m{e.llm_provider}\033[1;31m; Custom API Base - \033[1;37m{completion_call_details['api_base']}\033[1;31m\033[0m")
print(f"\033[1;31mLiteLLM.Exception: Invalid API Call. Call details: Model: \033[1;37m{e.model}\033[1;31m; LLM Provider: \033[1;37m{e.llm_provider}\033[1;31m; Custom API Base - \033[1;37m{completion_call_details['api_base']}\033[1;31m\033[0m") # type: ignore
if completion_call_details["api_base"] == "http://localhost:11434":
print()
print("Trying to call ollama? Try `litellm --model ollama/llama2 --api_base http://localhost:11434`")
@ -113,7 +113,7 @@ def litellm_completion(data: Dict,
user_max_tokens: Optional[int],
user_api_base: Optional[str],
user_headers: Optional[dict],
user_debug: bool) -> litellm.ModelResponse:
user_debug: bool):
try:
global debug
debug = user_debug