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Delete rate_limit_filter_pipeline.py
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from typing import List, Optional
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from pydantic import BaseModel
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from schemas import OpenAIChatMessage
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import time
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class Pipeline:
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def __init__(self):
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# Pipeline filters are only compatible with Open WebUI
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# You can think of filter pipeline as a middleware that can be used to edit the form data before it is sent to the OpenAI API.
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self.type = "filter"
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# Assign a unique identifier to the pipeline.
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# The identifier must be unique across all pipelines.
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# The identifier must be an alphanumeric string that can include underscores or hyphens. It cannot contain spaces, special characters, slashes, or backslashes.
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self.id = "rate_limit_filter_pipeline"
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self.name = "Rate Limit Filter"
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class Valves(BaseModel):
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# List target pipeline ids (models) that this filter will be connected to.
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# If you want to connect this filter to all pipelines, you can set pipelines to ["*"]
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pipelines: List[str] = []
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# Assign a priority level to the filter pipeline.
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# The priority level determines the order in which the filter pipelines are executed.
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# The lower the number, the higher the priority.
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priority: int = 0
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# Valves for rate limiting
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requests_per_minute: Optional[int] = None
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requests_per_hour: Optional[int] = None
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sliding_window_limit: Optional[int] = None
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sliding_window_minutes: Optional[int] = None
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# Initialize rate limits
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self.valves = Valves(
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**{
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"pipelines": ["*"], # Connect to all pipelines
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"requests_per_minute": 10,
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"requests_per_hour": 1000,
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"sliding_window_limit": 100,
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"sliding_window_minutes": 15,
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}
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)
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# Tracking data - user_id -> (timestamps of requests)
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self.user_requests = {}
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async def on_startup(self):
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# This function is called when the server is started or after valves are updated.
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print(f"on_startup:{__name__}")
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pass
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async def on_shutdown(self):
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# This function is called when the server is stopped or before valves are updated.
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print(f"on_shutdown:{__name__}")
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pass
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def prune_requests(self, user_id: str):
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"""Prune old requests that are outside of the sliding window period."""
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now = time.time()
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if user_id in self.user_requests:
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self.user_requests[user_id] = [
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req
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for req in self.user_requests[user_id]
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if (
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(self.valves.requests_per_minute is not None and now - req < 60)
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or (self.valves.requests_per_hour is not None and now - req < 3600)
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or (
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self.valves.sliding_window_limit is not None
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and now - req < self.valves.sliding_window_minutes * 60
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)
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)
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]
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def log_request(self, user_id: str):
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"""Log a new request for a user."""
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now = time.time()
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if user_id not in self.user_requests:
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self.user_requests[user_id] = []
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self.user_requests[user_id].append(now)
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def rate_limited(self, user_id: str) -> bool:
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"""Check if a user is rate limited."""
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self.prune_requests(user_id)
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user_reqs = self.user_requests.get(user_id, [])
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if self.valves.requests_per_minute is not None:
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requests_last_minute = sum(1 for req in user_reqs if time.time() - req < 60)
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if requests_last_minute >= self.valves.requests_per_minute:
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return True
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if self.valves.requests_per_hour is not None:
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requests_last_hour = sum(1 for req in user_reqs if time.time() - req < 3600)
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if requests_last_hour >= self.valves.requests_per_hour:
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return True
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if self.valves.sliding_window_limit is not None:
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requests_in_window = len(user_reqs)
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if requests_in_window >= self.valves.sliding_window_limit:
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return True
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return False
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async def filter(self, body: dict, user: Optional[dict] = None) -> dict:
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print(f"pipe:{__name__}")
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print(body)
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print(user)
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user_id = user["id"] if user and "id" in user else "default_user"
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if self.rate_limited(user_id):
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raise Exception("Rate limit exceeded. Please try again later.")
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self.log_request(user_id)
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return body
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