litellm-mirror/litellm/router_utils/pattern_match_deployments.py
Krish Dholakia 11f9df923a
LiteLLM Minor Fixes & Improvements (10/10/2024) (#6158)
* refactor(vertex_ai_partner_models/anthropic): refactor anthropic to use partner model logic

* fix(vertex_ai/): support passing custom api base to partner models

Fixes https://github.com/BerriAI/litellm/issues/4317

* fix(proxy_server.py): Fix prometheus premium user check logic

* docs(prometheus.md): update quick start docs

* fix(custom_llm.py): support passing dynamic api key + api base

* fix(realtime_api/main.py): Add request/response logging for realtime api endpoints

Closes https://github.com/BerriAI/litellm/issues/6081

* feat(openai/realtime): add openai realtime api logging

Closes https://github.com/BerriAI/litellm/issues/6081

* fix(realtime_streaming.py): fix linting errors

* fix(realtime_streaming.py): fix linting errors

* fix: fix linting errors

* fix pattern match router

* Add literalai in the sidebar observability category (#6163)

* fix: add literalai in the sidebar

* fix: typo

* update (#6160)

* Feat: Add Langtrace integration (#5341)

* Feat: Add Langtrace integration

* add langtrace service name

* fix timestamps for traces

* add tests

* Discard Callback + use existing otel logger

* cleanup

* remove print statments

* remove callback

* add docs

* docs

* add logging docs

* format logging

* remove emoji and add litellm proxy example

* format logging

* format `logging.md`

* add langtrace docs to logging.md

* sync conflict

* docs fix

* (perf) move s3 logging to Batch logging + async [94% faster perf under 100 RPS on 1 litellm instance] (#6165)

* fix move s3 to use customLogger

* add basic s3 logging test

* add s3 to custom logger compatible

* use batch logger for s3

* s3 set flush interval and batch size

* fix s3 logging

* add notes on s3 logging

* fix s3 logging

* add basic s3 logging test

* fix s3 type errors

* add test for sync logging on s3

* fix: fix to debug log

---------

Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Willy Douhard <willy.douhard@gmail.com>
Co-authored-by: yujonglee <yujonglee.dev@gmail.com>
Co-authored-by: Ali Waleed <ali@scale3labs.com>
2024-10-11 23:04:36 -07:00

95 lines
2.9 KiB
Python

"""
Class to handle llm wildcard routing and regex pattern matching
"""
import re
from typing import Dict, List, Optional
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] = []
if isinstance(llm_deployment, list):
self.patterns[regex].extend(llm_deployment)
else:
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
# 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