mirror of
https://github.com/BerriAI/litellm.git
synced 2025-04-25 02:34:29 +00:00
* refactor(router.py): move assistants api endpoints to using 1 pass-through factory function Reduces code, increases testing coverage * refactor(router.py): reduce _common_check_available_deployment function size make code more maintainable - reduce possible errors * test(router_code_coverage.py): include batch_utils + pattern matching in enforced 100% code coverage Improves reliability * fix(router.py): fix model id match model dump
143 lines
4.4 KiB
Python
143 lines
4.4 KiB
Python
"""
|
|
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
|