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-rw-r--r--.venv/lib/python3.12/site-packages/litellm/proxy/guardrails/init_guardrails.py171
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diff --git a/.venv/lib/python3.12/site-packages/litellm/proxy/guardrails/init_guardrails.py b/.venv/lib/python3.12/site-packages/litellm/proxy/guardrails/init_guardrails.py
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+++ b/.venv/lib/python3.12/site-packages/litellm/proxy/guardrails/init_guardrails.py
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+import importlib
+import os
+from typing import Dict, List, Optional
+
+import litellm
+from litellm import get_secret
+from litellm._logging import verbose_proxy_logger
+from litellm.proxy.common_utils.callback_utils import initialize_callbacks_on_proxy
+
+# v2 implementation
+from litellm.types.guardrails import (
+ Guardrail,
+ GuardrailItem,
+ GuardrailItemSpec,
+ LakeraCategoryThresholds,
+ LitellmParams,
+)
+
+from .guardrail_registry import guardrail_registry
+
+all_guardrails: List[GuardrailItem] = []
+
+
+def initialize_guardrails(
+ guardrails_config: List[Dict[str, GuardrailItemSpec]],
+ premium_user: bool,
+ config_file_path: str,
+ litellm_settings: dict,
+) -> Dict[str, GuardrailItem]:
+ try:
+ verbose_proxy_logger.debug(f"validating guardrails passed {guardrails_config}")
+ global all_guardrails
+ for item in guardrails_config:
+ """
+ one item looks like this:
+
+ {'prompt_injection': {'callbacks': ['lakera_prompt_injection', 'prompt_injection_api_2'], 'default_on': True, 'enabled_roles': ['user']}}
+ """
+ for k, v in item.items():
+ guardrail_item = GuardrailItem(**v, guardrail_name=k)
+ all_guardrails.append(guardrail_item)
+ litellm.guardrail_name_config_map[k] = guardrail_item
+
+ # set appropriate callbacks if they are default on
+ default_on_callbacks = set()
+ callback_specific_params = {}
+ for guardrail in all_guardrails:
+ verbose_proxy_logger.debug(guardrail.guardrail_name)
+ verbose_proxy_logger.debug(guardrail.default_on)
+
+ callback_specific_params.update(guardrail.callback_args)
+
+ if guardrail.default_on is True:
+ # add these to litellm callbacks if they don't exist
+ for callback in guardrail.callbacks:
+ if callback not in litellm.callbacks:
+ default_on_callbacks.add(callback)
+
+ if guardrail.logging_only is True:
+ if callback == "presidio":
+ callback_specific_params["presidio"] = {"logging_only": True} # type: ignore
+
+ default_on_callbacks_list = list(default_on_callbacks)
+ if len(default_on_callbacks_list) > 0:
+ initialize_callbacks_on_proxy(
+ value=default_on_callbacks_list,
+ premium_user=premium_user,
+ config_file_path=config_file_path,
+ litellm_settings=litellm_settings,
+ callback_specific_params=callback_specific_params,
+ )
+
+ return litellm.guardrail_name_config_map
+ except Exception as e:
+ verbose_proxy_logger.exception(
+ "error initializing guardrails {}".format(str(e))
+ )
+ raise e
+
+
+"""
+Map guardrail_name: <pre_call>, <post_call>, during_call
+
+"""
+
+
+def init_guardrails_v2(
+ all_guardrails: List[Dict],
+ config_file_path: Optional[str] = None,
+):
+ guardrail_list = []
+
+ for guardrail in all_guardrails:
+ litellm_params_data = guardrail["litellm_params"]
+ verbose_proxy_logger.debug("litellm_params= %s", litellm_params_data)
+
+ _litellm_params_kwargs = {
+ k: litellm_params_data.get(k) for k in LitellmParams.__annotations__.keys()
+ }
+
+ litellm_params = LitellmParams(**_litellm_params_kwargs) # type: ignore
+
+ if (
+ "category_thresholds" in litellm_params_data
+ and litellm_params_data["category_thresholds"]
+ ):
+ lakera_category_thresholds = LakeraCategoryThresholds(
+ **litellm_params_data["category_thresholds"]
+ )
+ litellm_params["category_thresholds"] = lakera_category_thresholds
+
+ if litellm_params["api_key"] and litellm_params["api_key"].startswith(
+ "os.environ/"
+ ):
+ litellm_params["api_key"] = str(get_secret(litellm_params["api_key"])) # type: ignore
+
+ if litellm_params["api_base"] and litellm_params["api_base"].startswith(
+ "os.environ/"
+ ):
+ litellm_params["api_base"] = str(get_secret(litellm_params["api_base"])) # type: ignore
+
+ guardrail_type = litellm_params["guardrail"]
+
+ initializer = guardrail_registry.get(guardrail_type)
+
+ if initializer:
+ initializer(litellm_params, guardrail)
+ elif isinstance(guardrail_type, str) and "." in guardrail_type:
+ if not config_file_path:
+ raise Exception(
+ "GuardrailsAIException - Please pass the config_file_path to initialize_guardrails_v2"
+ )
+
+ _file_name, _class_name = guardrail_type.split(".")
+ verbose_proxy_logger.debug(
+ "Initializing custom guardrail: %s, file_name: %s, class_name: %s",
+ guardrail_type,
+ _file_name,
+ _class_name,
+ )
+
+ directory = os.path.dirname(config_file_path)
+ module_file_path = os.path.join(directory, _file_name) + ".py"
+
+ spec = importlib.util.spec_from_file_location(_class_name, module_file_path) # type: ignore
+ if not spec:
+ raise ImportError(
+ f"Could not find a module specification for {module_file_path}"
+ )
+
+ module = importlib.util.module_from_spec(spec) # type: ignore
+ spec.loader.exec_module(module) # type: ignore
+ _guardrail_class = getattr(module, _class_name)
+
+ _guardrail_callback = _guardrail_class(
+ guardrail_name=guardrail["guardrail_name"],
+ event_hook=litellm_params["mode"],
+ default_on=litellm_params["default_on"],
+ )
+ litellm.logging_callback_manager.add_litellm_callback(_guardrail_callback) # type: ignore
+ else:
+ raise ValueError(f"Unsupported guardrail: {guardrail_type}")
+
+ parsed_guardrail = Guardrail(
+ guardrail_name=guardrail["guardrail_name"],
+ litellm_params=litellm_params,
+ )
+
+ guardrail_list.append(parsed_guardrail)
+
+ verbose_proxy_logger.info(f"\nGuardrail List:{guardrail_list}\n")