phoenix/litellm-mirror
0
0
Fork 1
mirror of https://github.com/BerriAI/litellm.git synced 2025-04-24 18:24:20 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

fixes importlib

Browse source
This commit is contained in:
Ishaan Jaff 2025-04-22 14:18:34 -07:00
parent 08e5bdf542
commit 6328018c05
1 changed files with 31 additions and 23 deletions
Download patch file Download diff file Expand all files Collapse all files

54
litellm/utils.py
View file

@ -180,10 +180,18 @@ from litellm.types.utils import (
all_litellm_params,
)
with resources.files("litellm.litellm_core_utils.tokenizers") \
.joinpath("anthropic_tokenizer.json") \
.open("r") as f:
json_data = json.load(f)
try:
# Python 3.9+
with resources.files("litellm.litellm_core_utils.tokenizers").joinpath(
"anthropic_tokenizer.json"
).open("r") as f:
json_data = json.load(f)
except (ImportError, AttributeError, TypeError):
with resources.open_text(
"litellm.litellm_core_utils.tokenizers", "anthropic_tokenizer.json"
) as f:
json_data = json.load(f)
# Convert to str (if necessary)
claude_json_str = json.dumps(json_data)
import importlib.metadata
@ -516,9 +524,9 @@ def function_setup( # noqa: PLR0915
function_id: Optional[str] = kwargs["id"] if "id" in kwargs else None
## DYNAMIC CALLBACKS ##
dynamic_callbacks: Optional[
List[Union[str, Callable, CustomLogger]]
] = kwargs.pop("callbacks", None)
dynamic_callbacks: Optional[List[Union[str, Callable, CustomLogger]]] = (
kwargs.pop("callbacks", None)
)
all_callbacks = get_dynamic_callbacks(dynamic_callbacks=dynamic_callbacks)
if len(all_callbacks) > 0:
@ -1202,9 +1210,9 @@ def client(original_function): # noqa: PLR0915
exception=e,
retry_policy=kwargs.get("retry_policy"),
)
kwargs[
"retry_policy"
] = reset_retry_policy() # prevent infinite loops
kwargs["retry_policy"] = (
reset_retry_policy()
) # prevent infinite loops
litellm.num_retries = (
None # set retries to None to prevent infinite loops
)
@ -3028,16 +3036,16 @@ def get_optional_params( # noqa: PLR0915
True # so that main.py adds the function call to the prompt
)
if "tools" in non_default_params:
optional_params[
"functions_unsupported_model"
] = non_default_params.pop("tools")
optional_params["functions_unsupported_model"] = (
non_default_params.pop("tools")
)
non_default_params.pop(
"tool_choice", None
) # causes ollama requests to hang
elif "functions" in non_default_params:
optional_params[
"functions_unsupported_model"
] = non_default_params.pop("functions")
optional_params["functions_unsupported_model"] = (
non_default_params.pop("functions")
)
elif (
litellm.add_function_to_prompt
): # if user opts to add it to prompt instead
@ -3060,10 +3068,10 @@ def get_optional_params( # noqa: PLR0915
if "response_format" in non_default_params:
if provider_config is not None:
non_default_params[
"response_format"
] = provider_config.get_json_schema_from_pydantic_object(
response_format=non_default_params["response_format"]
non_default_params["response_format"] = (
provider_config.get_json_schema_from_pydantic_object(
response_format=non_default_params["response_format"]
)
)
else:
non_default_params["response_format"] = type_to_response_format_param(
@ -4079,9 +4087,9 @@ def _count_characters(text: str) -> int:
def get_response_string(response_obj: Union[ModelResponse, ModelResponseStream]) -> str:
_choices: Union[
List[Union[Choices, StreamingChoices]], List[StreamingChoices]
] = response_obj.choices
_choices: Union[List[Union[Choices, StreamingChoices]], List[StreamingChoices]] = (
response_obj.choices
)
response_str = ""
for choice in _choices: