mirror of
https://github.com/open-webui/pipelines
synced 2025-05-12 00:20:48 +00:00
feat: rate limit filter example
This commit is contained in:
Timothy J. Baek
parent
c9f2ff4181
commit
e9915ed331
11
main.py
11
main.py
@ -191,7 +191,16 @@ async def filter(form_data: FilterForm):
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)
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pipeline = PIPELINE_MODULES[form_data.model]
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return await pipeline.filter(form_data.body, form_data.user)
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try:
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body = await pipeline.filter(form_data.body, form_data.user)
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return body
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except Exception as e:
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print(e)
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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detail=f"Error in filter {form_data.model}: {str(e)}",
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)
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@app.post("/chat/completions")
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94
pipelines/examples/rate_limit_filter_pipeline.py
Normal file
94
pipelines/examples/rate_limit_filter_pipeline.py
Normal file
@ -0,0 +1,94 @@
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from typing import List, Optional
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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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self.id = "rate_limit_filter_pipeline"
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self.name = "Rate Limit Filter"
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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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self.priority = 0
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# List target pipelines (models) that this filter will be connected to.
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self.pipelines = ["*"]
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pass
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# Initialize rate limits
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self.requests_per_minute: Optional[int] = 60
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self.requests_per_hour: Optional[int] = 1000
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self.sliding_window_limit: Optional[int] = 100
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self.sliding_window_minutes: Optional[int] = 15
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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.
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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.
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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 now - req < self.sliding_window_minutes * 60
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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.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.requests_per_minute:
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return True
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if self.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.requests_per_hour:
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return True
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if self.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.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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@ -1,41 +0,0 @@
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from typing import List, Optional
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from schemas import OpenAIChatMessage
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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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self.id = "filter_pipeline"
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self.name = "Filter"
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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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self.priority = 0
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# List target pipelines (models) that this filter will be connected to.
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self.pipelines = [
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{"id": "llama3:latest"},
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]
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pass
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async def on_startup(self):
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# This function is called when the server is started.
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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.
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print(f"on_shutdown:{__name__}")
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pass
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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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return body
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94
pipelines/rate_limit_filter_pipeline.py
Normal file
94
pipelines/rate_limit_filter_pipeline.py
Normal file
@ -0,0 +1,94 @@
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from typing import List, Optional
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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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self.id = "rate_limit_filter_pipeline"
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self.name = "Rate Limit Filter"
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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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self.priority = 0
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# List target pipelines (models) that this filter will be connected to.
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self.pipelines = ["*"]
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pass
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# Initialize rate limits
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self.requests_per_minute: Optional[int] = 60
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self.requests_per_hour: Optional[int] = 1000
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self.sliding_window_limit: Optional[int] = 100
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self.sliding_window_minutes: Optional[int] = 15
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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.
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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.
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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 now - req < self.sliding_window_minutes * 60
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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.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.requests_per_minute:
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return True
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if self.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.requests_per_hour:
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return True
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if self.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.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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