mirror of
https://github.com/BerriAI/litellm.git
synced 2025-04-25 10:44:24 +00:00
fix: fix merge conflicts
This commit is contained in:
Krrish Dholakia
parent
ee53e41213
commit
42af49cd87
3 changed files with 5 additions and 252 deletions
|
|
@ -17,33 +17,7 @@ else:
|
|||
LitellmRouter = Any
|
||||
|
||||
|
||||
class InitalizeOpenAISDKClient:
|
||||
@staticmethod
|
||||
def should_initialize_sync_client(
|
||||
litellm_router_instance: LitellmRouter,
|
||||
) -> bool:
|
||||
"""
|
||||
Returns if Sync OpenAI, Azure Clients should be initialized.
|
||||
|
||||
Do not init sync clients when router.router_general_settings.async_only_mode is True
|
||||
|
||||
"""
|
||||
if litellm_router_instance is None:
|
||||
return False
|
||||
|
||||
if litellm_router_instance.router_general_settings is not None:
|
||||
if (
|
||||
hasattr(litellm_router_instance, "router_general_settings")
|
||||
and hasattr(
|
||||
litellm_router_instance.router_general_settings, "async_only_mode"
|
||||
)
|
||||
and litellm_router_instance.router_general_settings.async_only_mode
|
||||
is True
|
||||
):
|
||||
return False
|
||||
|
||||
return True
|
||||
|
||||
class InitalizeCachedClient:
|
||||
@staticmethod
|
||||
def set_max_parallel_requests_client(
|
||||
litellm_router_instance: LitellmRouter, model: dict
|
||||
|
|
@ -67,226 +41,3 @@ class InitalizeOpenAISDKClient:
|
|||
value=semaphore,
|
||||
local_only=True,
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def set_client( # noqa: PLR0915
|
||||
litellm_router_instance: LitellmRouter, model: dict
|
||||
):
|
||||
"""
|
||||
- Initializes Azure/OpenAI clients. Stores them in cache, b/c of this - https://github.com/BerriAI/litellm/issues/1278
|
||||
- Initializes Semaphore for client w/ rpm. Stores them in cache. b/c of this - https://github.com/BerriAI/litellm/issues/2994
|
||||
"""
|
||||
client_ttl = litellm_router_instance.client_ttl
|
||||
litellm_params = model.get("litellm_params", {})
|
||||
model_name = litellm_params.get("model")
|
||||
model_id = model["model_info"]["id"]
|
||||
|
||||
#### for OpenAI / Azure we need to initalize the Client for High Traffic ########
|
||||
custom_llm_provider = litellm_params.get("custom_llm_provider")
|
||||
custom_llm_provider = custom_llm_provider or model_name.split("/", 1)[0] or ""
|
||||
default_api_base = None
|
||||
default_api_key = None
|
||||
if custom_llm_provider in litellm.openai_compatible_providers:
|
||||
_, custom_llm_provider, api_key, api_base = litellm.get_llm_provider(
|
||||
model=model_name
|
||||
)
|
||||
default_api_base = api_base
|
||||
default_api_key = api_key
|
||||
|
||||
if (
|
||||
model_name in litellm.open_ai_chat_completion_models
|
||||
or custom_llm_provider in litellm.openai_compatible_providers
|
||||
or custom_llm_provider == "azure"
|
||||
or custom_llm_provider == "azure_text"
|
||||
or custom_llm_provider == "custom_openai"
|
||||
or custom_llm_provider == "openai"
|
||||
or custom_llm_provider == "text-completion-openai"
|
||||
or "ft:gpt-3.5-turbo" in model_name
|
||||
or model_name in litellm.open_ai_embedding_models
|
||||
):
|
||||
is_azure_ai_studio_model: bool = False
|
||||
if custom_llm_provider == "azure":
|
||||
if litellm.utils._is_non_openai_azure_model(model_name):
|
||||
is_azure_ai_studio_model = True
|
||||
custom_llm_provider = "openai"
|
||||
# remove azure prefx from model_name
|
||||
model_name = model_name.replace("azure/", "")
|
||||
# glorified / complicated reading of configs
|
||||
# user can pass vars directly or they can pas os.environ/AZURE_API_KEY, in which case we will read the env
|
||||
# we do this here because we init clients for Azure, OpenAI and we need to set the right key
|
||||
api_key = litellm_params.get("api_key") or default_api_key
|
||||
if (
|
||||
api_key
|
||||
and isinstance(api_key, str)
|
||||
and api_key.startswith("os.environ/")
|
||||
):
|
||||
api_key_env_name = api_key.replace("os.environ/", "")
|
||||
api_key = get_secret_str(api_key_env_name)
|
||||
litellm_params["api_key"] = api_key
|
||||
|
||||
api_base = litellm_params.get("api_base")
|
||||
base_url: Optional[str] = litellm_params.get("base_url")
|
||||
api_base = (
|
||||
api_base or base_url or default_api_base
|
||||
) # allow users to pass in `api_base` or `base_url` for azure
|
||||
if api_base and api_base.startswith("os.environ/"):
|
||||
api_base_env_name = api_base.replace("os.environ/", "")
|
||||
api_base = get_secret_str(api_base_env_name)
|
||||
litellm_params["api_base"] = api_base
|
||||
|
||||
## AZURE AI STUDIO MISTRAL CHECK ##
|
||||
"""
|
||||
Make sure api base ends in /v1/
|
||||
|
||||
if not, add it - https://github.com/BerriAI/litellm/issues/2279
|
||||
"""
|
||||
if (
|
||||
is_azure_ai_studio_model is True
|
||||
and api_base is not None
|
||||
and isinstance(api_base, str)
|
||||
and not api_base.endswith("/v1/")
|
||||
):
|
||||
# check if it ends with a trailing slash
|
||||
if api_base.endswith("/"):
|
||||
api_base += "v1/"
|
||||
elif api_base.endswith("/v1"):
|
||||
api_base += "/"
|
||||
else:
|
||||
api_base += "/v1/"
|
||||
|
||||
api_version = litellm_params.get("api_version")
|
||||
if api_version and api_version.startswith("os.environ/"):
|
||||
api_version_env_name = api_version.replace("os.environ/", "")
|
||||
api_version = get_secret_str(api_version_env_name)
|
||||
litellm_params["api_version"] = api_version
|
||||
|
||||
timeout: Optional[float] = (
|
||||
litellm_params.pop("timeout", None) or litellm.request_timeout
|
||||
)
|
||||
if isinstance(timeout, str) and timeout.startswith("os.environ/"):
|
||||
timeout_env_name = timeout.replace("os.environ/", "")
|
||||
timeout = get_secret(timeout_env_name) # type: ignore
|
||||
litellm_params["timeout"] = timeout
|
||||
|
||||
stream_timeout: Optional[float] = litellm_params.pop(
|
||||
"stream_timeout", timeout
|
||||
) # if no stream_timeout is set, default to timeout
|
||||
if isinstance(stream_timeout, str) and stream_timeout.startswith(
|
||||
"os.environ/"
|
||||
):
|
||||
stream_timeout_env_name = stream_timeout.replace("os.environ/", "")
|
||||
stream_timeout = get_secret(stream_timeout_env_name) # type: ignore
|
||||
litellm_params["stream_timeout"] = stream_timeout
|
||||
|
||||
max_retries: Optional[int] = litellm_params.pop(
|
||||
"max_retries", 0
|
||||
) # router handles retry logic
|
||||
if isinstance(max_retries, str) and max_retries.startswith("os.environ/"):
|
||||
max_retries_env_name = max_retries.replace("os.environ/", "")
|
||||
max_retries = get_secret(max_retries_env_name) # type: ignore
|
||||
litellm_params["max_retries"] = max_retries
|
||||
|
||||
organization = litellm_params.get("organization", None)
|
||||
if isinstance(organization, str) and organization.startswith("os.environ/"):
|
||||
organization_env_name = organization.replace("os.environ/", "")
|
||||
organization = get_secret_str(organization_env_name)
|
||||
litellm_params["organization"] = organization
|
||||
else:
|
||||
_api_key = api_key # type: ignore
|
||||
if _api_key is not None and isinstance(_api_key, str):
|
||||
# only show first 5 chars of api_key
|
||||
_api_key = _api_key[:8] + "*" * 15
|
||||
verbose_router_logger.debug(
|
||||
f"Initializing OpenAI Client for {model_name}, Api Base:{str(api_base)}, Api Key:{_api_key}"
|
||||
)
|
||||
cache_key = f"{model_id}_async_client"
|
||||
_client = openai.AsyncOpenAI( # type: ignore
|
||||
api_key=api_key,
|
||||
base_url=api_base,
|
||||
timeout=timeout, # type: ignore
|
||||
max_retries=max_retries, # type: ignore
|
||||
organization=organization,
|
||||
http_client=httpx.AsyncClient(
|
||||
limits=httpx.Limits(
|
||||
max_connections=1000, max_keepalive_connections=100
|
||||
),
|
||||
verify=litellm.ssl_verify,
|
||||
), # type: ignore
|
||||
)
|
||||
litellm_router_instance.cache.set_cache(
|
||||
key=cache_key,
|
||||
value=_client,
|
||||
ttl=client_ttl,
|
||||
local_only=True,
|
||||
) # cache for 1 hr
|
||||
|
||||
if InitalizeOpenAISDKClient.should_initialize_sync_client(
|
||||
litellm_router_instance=litellm_router_instance
|
||||
):
|
||||
cache_key = f"{model_id}_client"
|
||||
_client = openai.OpenAI( # type: ignore
|
||||
api_key=api_key,
|
||||
base_url=api_base,
|
||||
timeout=timeout, # type: ignore
|
||||
max_retries=max_retries, # type: ignore
|
||||
organization=organization,
|
||||
http_client=httpx.Client(
|
||||
limits=httpx.Limits(
|
||||
max_connections=1000, max_keepalive_connections=100
|
||||
),
|
||||
verify=litellm.ssl_verify,
|
||||
), # type: ignore
|
||||
)
|
||||
litellm_router_instance.cache.set_cache(
|
||||
key=cache_key,
|
||||
value=_client,
|
||||
ttl=client_ttl,
|
||||
local_only=True,
|
||||
) # cache for 1 hr
|
||||
|
||||
# streaming clients should have diff timeouts
|
||||
cache_key = f"{model_id}_stream_async_client"
|
||||
_client = openai.AsyncOpenAI( # type: ignore
|
||||
api_key=api_key,
|
||||
base_url=api_base,
|
||||
timeout=stream_timeout, # type: ignore
|
||||
max_retries=max_retries, # type: ignore
|
||||
organization=organization,
|
||||
http_client=httpx.AsyncClient(
|
||||
limits=httpx.Limits(
|
||||
max_connections=1000, max_keepalive_connections=100
|
||||
),
|
||||
verify=litellm.ssl_verify,
|
||||
), # type: ignore
|
||||
)
|
||||
litellm_router_instance.cache.set_cache(
|
||||
key=cache_key,
|
||||
value=_client,
|
||||
ttl=client_ttl,
|
||||
local_only=True,
|
||||
) # cache for 1 hr
|
||||
|
||||
if InitalizeOpenAISDKClient.should_initialize_sync_client(
|
||||
litellm_router_instance=litellm_router_instance
|
||||
):
|
||||
# streaming clients should have diff timeouts
|
||||
cache_key = f"{model_id}_stream_client"
|
||||
_client = openai.OpenAI( # type: ignore
|
||||
api_key=api_key,
|
||||
base_url=api_base,
|
||||
timeout=stream_timeout, # type: ignore
|
||||
max_retries=max_retries, # type: ignore
|
||||
organization=organization,
|
||||
http_client=httpx.Client(
|
||||
limits=httpx.Limits(
|
||||
max_connections=1000, max_keepalive_connections=100
|
||||
),
|
||||
verify=litellm.ssl_verify,
|
||||
), # type: ignore
|
||||
)
|
||||
litellm_router_instance.cache.set_cache(
|
||||
key=cache_key,
|
||||
value=_client,
|
||||
ttl=client_ttl,
|
||||
local_only=True,
|
||||
) # cache for 1 hr
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue