""" Class to handle llm wildcard routing and regex pattern matching """ import copy import re from typing import Dict, List, Optional from litellm import get_llm_provider from litellm._logging import verbose_router_logger class PatternMatchRouter: """ Class to handle llm wildcard routing and regex pattern matching doc: https://docs.litellm.ai/docs/proxy/configs#provider-specific-wildcard-routing This class will store a mapping for regex pattern: List[Deployments] """ def __init__(self): self.patterns: Dict[str, List] = {} def add_pattern(self, pattern: str, llm_deployment: Dict): """ Add a regex pattern and the corresponding llm deployments to the patterns Args: pattern: str llm_deployment: str or List[str] """ # Convert the pattern to a regex regex = self._pattern_to_regex(pattern) if regex not in self.patterns: self.patterns[regex] = [] self.patterns[regex].append(llm_deployment) def _pattern_to_regex(self, pattern: str) -> str: """ Convert a wildcard pattern to a regex pattern example: pattern: openai/* regex: openai/.* pattern: openai/fo::*::static::* regex: openai/fo::.*::static::.* Args: pattern: str Returns: str: regex pattern """ # Replace '*' with '.*' for regex matching regex = pattern.replace("*", ".*") # Escape other special characters regex = re.escape(regex).replace(r"\.\*", ".*") return f"^{regex}$" def route(self, request: Optional[str]) -> Optional[List[Dict]]: """ Route a requested model to the corresponding llm deployments based on the regex pattern loop through all the patterns and find the matching pattern if a pattern is found, return the corresponding llm deployments if no pattern is found, return None Args: request: Optional[str] Returns: Optional[List[Deployment]]: llm deployments """ try: if request is None: return None for pattern, llm_deployments in self.patterns.items(): if re.match(pattern, request): return llm_deployments except Exception as e: verbose_router_logger.debug(f"Error in PatternMatchRouter.route: {str(e)}") return None # No matching pattern found def get_pattern( self, model: str, custom_llm_provider: Optional[str] = None ) -> Optional[List[Dict]]: """ Check if a pattern exists for the given model and custom llm provider Args: model: str custom_llm_provider: Optional[str] Returns: bool: True if pattern exists, False otherwise """ if custom_llm_provider is None: try: ( _, custom_llm_provider, _, _, ) = get_llm_provider(model=model) except Exception: # get_llm_provider raises exception when provider is unknown pass return self.route(model) or self.route(f"{custom_llm_provider}/{model}") def get_deployments_by_pattern( self, model: str, custom_llm_provider: Optional[str] = None ) -> List[Dict]: """ Get the deployments by pattern Args: model: str custom_llm_provider: Optional[str] Returns: List[Dict]: llm deployments matching the pattern """ pattern_match = self.get_pattern(model, custom_llm_provider) if pattern_match: provider_deployments = [] for deployment in pattern_match: dep = copy.deepcopy(deployment) dep["litellm_params"]["model"] = model provider_deployments.append(dep) return provider_deployments return [] # Example usage: # router = PatternRouter() # router.add_pattern('openai/*', [Deployment(), Deployment()]) # router.add_pattern('openai/fo::*::static::*', Deployment()) # print(router.route('openai/gpt-4')) # Output: [Deployment(), Deployment()] # print(router.route('openai/fo::hi::static::hi')) # Output: [Deployment()] # print(router.route('something/else')) # Output: None