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fix - in memory client cache

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This commit is contained in:
Ishaan Jaff 2024-06-01 08:58:22 -07:00
parent 1c16904566
commit 47337c172e
1 changed files with 12 additions and 3 deletions
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15
litellm/llms/openai.py
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@ -505,7 +505,6 @@ class OpenAIChatCompletion(BaseLLM):
def __init__(self) -> None:
super().__init__()
@lru_cache(maxsize=10)
def _get_openai_client(
self,
is_async: bool,
@ -524,8 +523,14 @@ class OpenAIChatCompletion(BaseLLM):
max_retries
),
)
# Creating a new OpenAI Client
# check in memory cache before doing so
_cache_key = f"api_key={api_key},api_base={api_base},timeout={timeout},max_retries={max_retries},organization={organization}"
if _cache_key in litellm.in_memory_llm_clients_cache:
return litellm.in_memory_llm_clients_cache[_cache_key]
if is_async:
return AsyncOpenAI(
_new_client: Union[OpenAI, AsyncOpenAI] = AsyncOpenAI(
api_key=api_key,
base_url=api_base,
http_client=litellm.aclient_session,
@ -534,7 +539,7 @@ class OpenAIChatCompletion(BaseLLM):
organization=organization,
)
else:
return OpenAI(
_new_client = OpenAI(
api_key=api_key,
base_url=api_base,
http_client=litellm.client_session,
@ -542,6 +547,10 @@ class OpenAIChatCompletion(BaseLLM):
max_retries=max_retries,
organization=organization,
)
litellm.in_memory_llm_clients_cache[_cache_key] = _new_client
return _new_client
else:
return client