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GA Multi-instance rate limiting v2 Requirements + New - specify token rate limit type - output / input / total (#11646)
* feat(parallel_request_limiter_v3.py): allows admin to enforce token rate limit based on just output tokens Useful when trying to rate limit for primarily self hosted model use-cases * test(test_parallel_request_limiter_v3.py): add unit test for token rate limit type * feat(parallel_request_limiter_v3.py): return remaining token limits in header * feat: return rate limit headers in response * feat(parallel_request_limiter_v3.py): working rate limit response headers * feat(parallel_request_limiter_v3.py): fix rate limit tracking for tpm when rpm also set * feat(parallel_request_limiter_v3.py): show headers for key/user/team * feat(parallel_request_limiter_v3.py): decrement max parallel request limiter on failure event * feat(parallel_request_limiter_v3.py): add in-memory cache implementation of parallel request rate limiter allows rate limiter to work even without redis cache setup Work for GA of parallel request limiter v3 * refactor(proxy/hooks/__init__.py): replace with new parallel request handler * test: update testing * fix: fix ruff check * fix: revert ga of multi instance rate limiting - needs more work to pass testing
This commit is contained in:
Krish Dholakia
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6:[["$","meta","0",{"name":"viewport","content":"width=device-width, initial-scale=1"}],["$","meta","1",{"charSet":"utf-8"}],["$","title","2",{"children":"LiteLLM Dashboard"}],["$","meta","3",{"name":"description","content":"LiteLLM Proxy Admin UI"}],["$","link","4",{"rel":"icon","href":"/favicon.ico","type":"image/x-icon","sizes":"16x16"}],["$","meta","5",{"name":"next-size-adjust"}]]
|
||||
1:null
|
||||
|
||||
@@ -2,6 +2,6 @@
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6:[["$","meta","0",{"name":"viewport","content":"width=device-width, initial-scale=1"}],["$","meta","1",{"charSet":"utf-8"}],["$","title","2",{"children":"LiteLLM Dashboard"}],["$","meta","3",{"name":"description","content":"LiteLLM Proxy Admin UI"}],["$","link","4",{"rel":"icon","href":"/favicon.ico","type":"image/x-icon","sizes":"16x16"}],["$","meta","5",{"name":"next-size-adjust"}]]
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1:null
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File diff suppressed because one or more lines are too long
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4:I[4707,[],""]
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5:I[36423,[],""]
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|
||||
6:[["$","meta","0",{"name":"viewport","content":"width=device-width, initial-scale=1"}],["$","meta","1",{"charSet":"utf-8"}],["$","title","2",{"children":"LiteLLM Dashboard"}],["$","meta","3",{"name":"description","content":"LiteLLM Proxy Admin UI"}],["$","link","4",{"rel":"icon","href":"/favicon.ico","type":"image/x-icon","sizes":"16x16"}],["$","meta","5",{"name":"next-size-adjust"}]]
|
||||
1:null
|
||||
|
||||
@@ -81,7 +81,7 @@ model_list:
|
||||
general_settings:
|
||||
store_model_in_db: true
|
||||
store_prompts_in_spend_logs: true
|
||||
disable_prisma_schema_update: true
|
||||
token_rate_limit_type: "output"
|
||||
# master_key: os.environ/PROXY_MASTER_KEY
|
||||
|
||||
litellm_settings:
|
||||
@@ -93,8 +93,6 @@ litellm_settings:
|
||||
# supported_call_types: ["acompletion", "completion"]
|
||||
callbacks: ["prometheus", "langfuse"]
|
||||
|
||||
router_settings:
|
||||
redis_password: os.environ/REDIS_PASSWORD
|
||||
|
||||
|
||||
|
||||
|
||||
@@ -4,13 +4,21 @@ This is a rate limiter implementation based on a similar one by Envoy proxy.
|
||||
This is currently in development and not yet ready for production.
|
||||
"""
|
||||
import os
|
||||
import sys
|
||||
from datetime import datetime
|
||||
from typing import TYPE_CHECKING, Any, Dict, List, Literal, Optional, TypedDict, Union
|
||||
from typing import (
|
||||
TYPE_CHECKING,
|
||||
Any,
|
||||
Dict,
|
||||
List,
|
||||
Literal,
|
||||
Optional,
|
||||
TypedDict,
|
||||
Union,
|
||||
cast,
|
||||
)
|
||||
|
||||
from fastapi import HTTPException
|
||||
|
||||
import litellm
|
||||
from litellm import DualCache
|
||||
from litellm._logging import verbose_proxy_logger
|
||||
from litellm.integrations.custom_logger import CustomLogger
|
||||
@@ -37,7 +45,7 @@ local window_size = tonumber(ARGV[2])
|
||||
for i = 1, #KEYS, 2 do
|
||||
local window_key = KEYS[i]
|
||||
local counter_key = KEYS[i + 1]
|
||||
local increment_value = tonumber(KEYS[i + 2]) or 1
|
||||
local increment_value = 1
|
||||
|
||||
-- Check if window exists and is valid
|
||||
local window_start = redis.call('GET', window_key)
|
||||
@@ -73,9 +81,22 @@ class RateLimitDescriptor(TypedDict):
|
||||
rate_limit: Optional[RateLimitDescriptorRateLimitObject]
|
||||
|
||||
|
||||
class RateLimitStatus(TypedDict):
|
||||
code: str
|
||||
current_limit: int
|
||||
limit_remaining: int
|
||||
rate_limit_type: Literal["requests", "tokens", "max_parallel_requests"]
|
||||
descriptor_key: str
|
||||
|
||||
|
||||
class RateLimitResponse(TypedDict):
|
||||
overall_code: str
|
||||
statuses: List[Dict[str, Any]]
|
||||
statuses: List[RateLimitStatus]
|
||||
|
||||
|
||||
class RateLimitResponseWithDescriptors(TypedDict):
|
||||
descriptors: List[RateLimitDescriptor]
|
||||
response: RateLimitResponse
|
||||
|
||||
|
||||
class _PROXY_MaxParallelRequestsHandler_v3(CustomLogger):
|
||||
@@ -92,13 +113,71 @@ class _PROXY_MaxParallelRequestsHandler_v3(CustomLogger):
|
||||
|
||||
self.window_size = int(os.getenv("LITELLM_RATE_LIMIT_WINDOW_SIZE", 60))
|
||||
|
||||
def print_verbose(self, print_statement):
|
||||
try:
|
||||
verbose_proxy_logger.debug(print_statement)
|
||||
if litellm.set_verbose:
|
||||
print(print_statement) # noqa
|
||||
except Exception:
|
||||
pass
|
||||
async def in_memory_cache_sliding_window(
|
||||
self,
|
||||
keys: List[str],
|
||||
now_int: int,
|
||||
window_size: int,
|
||||
) -> List[Any]:
|
||||
"""
|
||||
Implement sliding window rate limiting logic using in-memory cache operations.
|
||||
This follows the same logic as the Redis Lua script but uses async cache operations.
|
||||
"""
|
||||
results: List[Any] = []
|
||||
|
||||
# Process each window/counter pair
|
||||
for i in range(0, len(keys), 2):
|
||||
window_key = keys[i]
|
||||
counter_key = keys[i + 1]
|
||||
increment_value = 1
|
||||
|
||||
# Get the window start time
|
||||
window_start = await self.internal_usage_cache.async_get_cache(
|
||||
key=window_key,
|
||||
litellm_parent_otel_span=None,
|
||||
local_only=True,
|
||||
)
|
||||
|
||||
# Check if window exists and is valid
|
||||
if window_start is None or (now_int - int(window_start)) >= window_size:
|
||||
# Reset window and counter
|
||||
await self.internal_usage_cache.async_set_cache(
|
||||
key=window_key,
|
||||
value=str(now_int),
|
||||
ttl=window_size,
|
||||
litellm_parent_otel_span=None,
|
||||
local_only=True,
|
||||
)
|
||||
await self.internal_usage_cache.async_set_cache(
|
||||
key=counter_key,
|
||||
value=increment_value,
|
||||
ttl=window_size,
|
||||
litellm_parent_otel_span=None,
|
||||
local_only=True,
|
||||
)
|
||||
results.append(str(now_int)) # window_start
|
||||
results.append(increment_value) # counter
|
||||
else:
|
||||
# Increment the counter
|
||||
current_counter = await self.internal_usage_cache.async_get_cache(
|
||||
key=counter_key,
|
||||
litellm_parent_otel_span=None,
|
||||
local_only=True,
|
||||
)
|
||||
new_counter_value = (
|
||||
int(current_counter) if current_counter is not None else 0
|
||||
) + increment_value
|
||||
await self.internal_usage_cache.async_set_cache(
|
||||
key=counter_key,
|
||||
value=new_counter_value,
|
||||
ttl=window_size,
|
||||
litellm_parent_otel_span=None,
|
||||
local_only=True,
|
||||
)
|
||||
results.append(window_start) # window_start
|
||||
results.append(new_counter_value) # counter
|
||||
|
||||
return results
|
||||
|
||||
def create_rate_limit_keys(
|
||||
self,
|
||||
@@ -122,8 +201,9 @@ class _PROXY_MaxParallelRequestsHandler_v3(CustomLogger):
|
||||
"""
|
||||
Check if the cache values are over the limit.
|
||||
"""
|
||||
statuses = []
|
||||
statuses: List[RateLimitStatus] = []
|
||||
overall_code = "OK"
|
||||
|
||||
for i in range(0, len(cache_values), 2):
|
||||
item_code = "OK"
|
||||
window_key = keys_to_fetch[i]
|
||||
@@ -136,53 +216,41 @@ class _PROXY_MaxParallelRequestsHandler_v3(CustomLogger):
|
||||
tokens_limit = key_metadata[window_key]["tokens_limit"]
|
||||
|
||||
# Determine which limit to use for current_limit and limit_remaining
|
||||
current_limit: Optional[int] = None
|
||||
rate_limit_type: Optional[
|
||||
Literal["requests", "tokens", "max_parallel_requests"]
|
||||
] = None
|
||||
if counter_key.endswith(":requests"):
|
||||
current_limit = requests_limit
|
||||
rate_limit_type = "requests"
|
||||
elif counter_key.endswith(":max_parallel_requests"):
|
||||
current_limit = max_parallel_requests_limit
|
||||
rate_limit_type = "max_parallel_requests"
|
||||
elif counter_key.endswith(":tokens"):
|
||||
current_limit = tokens_limit
|
||||
else:
|
||||
current_limit = None
|
||||
rate_limit_type = "tokens"
|
||||
|
||||
if (
|
||||
counter_key.endswith(":requests")
|
||||
and requests_limit is not None
|
||||
and counter_value is not None
|
||||
and int(counter_value) + 1 > requests_limit
|
||||
):
|
||||
overall_code = "OVER_LIMIT"
|
||||
item_code = "OVER_LIMIT"
|
||||
elif (
|
||||
counter_key.endswith(":max_parallel_requests")
|
||||
and max_parallel_requests_limit is not None
|
||||
and counter_value is not None
|
||||
and int(counter_value) + 1 > max_parallel_requests_limit
|
||||
):
|
||||
overall_code = "OVER_LIMIT"
|
||||
item_code = "OVER_LIMIT"
|
||||
elif (
|
||||
counter_key.endswith(":tokens")
|
||||
and tokens_limit is not None
|
||||
and counter_value is not None
|
||||
and int(counter_value) + 1 > tokens_limit
|
||||
):
|
||||
if current_limit is None or rate_limit_type is None:
|
||||
continue
|
||||
|
||||
if counter_value is not None and int(counter_value) + 1 > current_limit:
|
||||
overall_code = "OVER_LIMIT"
|
||||
item_code = "OVER_LIMIT"
|
||||
|
||||
# Only compute limit_remaining if current_limit is not None
|
||||
if current_limit is None:
|
||||
limit_remaining = None
|
||||
elif counter_value is None:
|
||||
limit_remaining = current_limit
|
||||
else:
|
||||
limit_remaining = current_limit - counter_value
|
||||
limit_remaining = (
|
||||
current_limit - int(counter_value)
|
||||
if counter_value is not None
|
||||
else current_limit
|
||||
)
|
||||
|
||||
statuses.append(
|
||||
{
|
||||
"code": item_code,
|
||||
"current_limit": current_limit,
|
||||
"limit_remaining": limit_remaining,
|
||||
"rate_limit_type": rate_limit_type,
|
||||
"descriptor_key": key_metadata[window_key]["descriptor_key"],
|
||||
}
|
||||
)
|
||||
|
||||
@@ -207,26 +275,37 @@ class _PROXY_MaxParallelRequestsHandler_v3(CustomLogger):
|
||||
keys_to_fetch: List[str] = []
|
||||
key_metadata = {} # Store metadata for each key
|
||||
for descriptor in descriptors:
|
||||
key = descriptor["key"]
|
||||
value = descriptor["value"]
|
||||
descriptor_key = descriptor["key"]
|
||||
descriptor_value = descriptor["value"]
|
||||
rate_limit = descriptor.get("rate_limit", {}) or {}
|
||||
requests_limit = rate_limit.get("requests_per_unit")
|
||||
tokens_limit = rate_limit.get("tokens_per_unit")
|
||||
max_parallel_requests_limit = rate_limit.get("max_parallel_requests")
|
||||
window_size = rate_limit.get("window_size") or self.window_size
|
||||
|
||||
window_key = f"{{{key}:{value}}}:window"
|
||||
window_key = f"{{{descriptor_key}:{descriptor_value}}}:window"
|
||||
|
||||
rate_limit_set = False
|
||||
if requests_limit is not None:
|
||||
key = self.create_rate_limit_keys(key, value, "requests")
|
||||
keys_to_fetch.extend([window_key, key])
|
||||
elif tokens_limit is not None:
|
||||
key = self.create_rate_limit_keys(key, value, "tokens")
|
||||
keys_to_fetch.extend([window_key, key])
|
||||
elif max_parallel_requests_limit is not None:
|
||||
key = self.create_rate_limit_keys(key, value, "max_parallel_requests")
|
||||
keys_to_fetch.extend([window_key, key])
|
||||
else:
|
||||
rpm_key = self.create_rate_limit_keys(
|
||||
descriptor_key, descriptor_value, "requests"
|
||||
)
|
||||
keys_to_fetch.extend([window_key, rpm_key])
|
||||
rate_limit_set = True
|
||||
if tokens_limit is not None:
|
||||
tpm_key = self.create_rate_limit_keys(
|
||||
descriptor_key, descriptor_value, "tokens"
|
||||
)
|
||||
keys_to_fetch.extend([window_key, tpm_key])
|
||||
rate_limit_set = True
|
||||
if max_parallel_requests_limit is not None:
|
||||
max_parallel_requests_key = self.create_rate_limit_keys(
|
||||
descriptor_key, descriptor_value, "max_parallel_requests"
|
||||
)
|
||||
keys_to_fetch.extend([window_key, max_parallel_requests_key])
|
||||
rate_limit_set = True
|
||||
|
||||
if not rate_limit_set:
|
||||
continue
|
||||
|
||||
key_metadata[window_key] = {
|
||||
@@ -238,6 +317,7 @@ class _PROXY_MaxParallelRequestsHandler_v3(CustomLogger):
|
||||
if max_parallel_requests_limit is not None
|
||||
else None,
|
||||
"window_size": int(window_size),
|
||||
"descriptor_key": descriptor_key,
|
||||
}
|
||||
|
||||
## CHECK IN-MEMORY CACHE
|
||||
@@ -260,6 +340,7 @@ class _PROXY_MaxParallelRequestsHandler_v3(CustomLogger):
|
||||
keys=keys_to_fetch,
|
||||
args=[now_int, self.window_size], # Use integer timestamp
|
||||
)
|
||||
|
||||
# update in-memory cache with new values
|
||||
for i in range(0, len(cache_values), 2):
|
||||
window_key = keys_to_fetch[i]
|
||||
@@ -281,7 +362,11 @@ class _PROXY_MaxParallelRequestsHandler_v3(CustomLogger):
|
||||
local_only=True,
|
||||
)
|
||||
else:
|
||||
raise ValueError("Batch rate limiter script is not initialized")
|
||||
cache_values = await self.in_memory_cache_sliding_window(
|
||||
keys=keys_to_fetch,
|
||||
now_int=now_int,
|
||||
window_size=self.window_size,
|
||||
)
|
||||
|
||||
rate_limit_response = self.is_cache_list_over_limit(
|
||||
keys_to_fetch, cache_values, key_metadata
|
||||
@@ -417,6 +502,10 @@ class _PROXY_MaxParallelRequestsHandler_v3(CustomLogger):
|
||||
}, # Retry after 1 minute
|
||||
)
|
||||
|
||||
else:
|
||||
# add descriptors to request headers
|
||||
data["litellm_proxy_rate_limit_response"] = response
|
||||
|
||||
def _create_pipeline_operations(
|
||||
self,
|
||||
key: str,
|
||||
@@ -445,6 +534,20 @@ class _PROXY_MaxParallelRequestsHandler_v3(CustomLogger):
|
||||
|
||||
return pipeline_operations
|
||||
|
||||
def get_rate_limit_type(self) -> Literal["output", "input", "total"]:
|
||||
from litellm.proxy.proxy_server import general_settings
|
||||
|
||||
specified_rate_limit_type = general_settings.get(
|
||||
"token_rate_limit_type", "output"
|
||||
)
|
||||
if not specified_rate_limit_type or specified_rate_limit_type not in [
|
||||
"output",
|
||||
"input",
|
||||
"total",
|
||||
]:
|
||||
return "total" # default to total
|
||||
return specified_rate_limit_type
|
||||
|
||||
async def async_log_success_event(self, kwargs, response_obj, start_time, end_time):
|
||||
"""
|
||||
Update TPM usage on successful API calls by incrementing counters using pipeline
|
||||
@@ -458,11 +561,15 @@ class _PROXY_MaxParallelRequestsHandler_v3(CustomLogger):
|
||||
from litellm.types.caching import RedisPipelineIncrementOperation
|
||||
from litellm.types.utils import ModelResponse, Usage
|
||||
|
||||
rate_limit_type = self.get_rate_limit_type()
|
||||
|
||||
litellm_parent_otel_span: Union[Span, None] = _get_parent_otel_span_from_kwargs(
|
||||
kwargs
|
||||
)
|
||||
try:
|
||||
self.print_verbose("INSIDE parallel request limiter ASYNC SUCCESS LOGGING")
|
||||
verbose_proxy_logger.debug(
|
||||
"INSIDE parallel request limiter ASYNC SUCCESS LOGGING"
|
||||
)
|
||||
|
||||
# Get metadata from kwargs
|
||||
user_api_key = kwargs["litellm_params"]["metadata"].get("user_api_key")
|
||||
@@ -482,7 +589,12 @@ class _PROXY_MaxParallelRequestsHandler_v3(CustomLogger):
|
||||
if isinstance(response_obj, ModelResponse):
|
||||
_usage = getattr(response_obj, "usage", None)
|
||||
if _usage and isinstance(_usage, Usage):
|
||||
total_tokens = _usage.total_tokens
|
||||
if rate_limit_type == "output":
|
||||
total_tokens = _usage.completion_tokens
|
||||
elif rate_limit_type == "input":
|
||||
total_tokens = _usage.prompt_tokens
|
||||
elif rate_limit_type == "total":
|
||||
total_tokens = _usage.total_tokens
|
||||
|
||||
# Create pipeline operations for TPM increments
|
||||
pipeline_operations: List[RedisPipelineIncrementOperation] = []
|
||||
@@ -570,9 +682,45 @@ class _PROXY_MaxParallelRequestsHandler_v3(CustomLogger):
|
||||
|
||||
async def async_log_failure_event(self, kwargs, response_obj, start_time, end_time):
|
||||
"""
|
||||
No-op for failure event since we handle increments in should_rate_limit
|
||||
Decrement max parallel requests counter for the API Key
|
||||
"""
|
||||
pass
|
||||
from litellm.litellm_core_utils.core_helpers import (
|
||||
_get_parent_otel_span_from_kwargs,
|
||||
)
|
||||
from litellm.types.caching import RedisPipelineIncrementOperation
|
||||
|
||||
try:
|
||||
litellm_parent_otel_span: Union[
|
||||
Span, None
|
||||
] = _get_parent_otel_span_from_kwargs(kwargs)
|
||||
user_api_key = kwargs["litellm_params"]["metadata"].get("user_api_key")
|
||||
pipeline_operations: List[RedisPipelineIncrementOperation] = []
|
||||
|
||||
if user_api_key:
|
||||
# MAX PARALLEL REQUESTS - only support for API Key, just decrement the counter
|
||||
counter_key = self.create_rate_limit_keys(
|
||||
key="api_key",
|
||||
value=user_api_key,
|
||||
rate_limit_type="max_parallel_requests",
|
||||
)
|
||||
pipeline_operations.append(
|
||||
RedisPipelineIncrementOperation(
|
||||
key=counter_key,
|
||||
increment_value=-1,
|
||||
ttl=self.window_size,
|
||||
)
|
||||
)
|
||||
|
||||
# Execute all increments in a single pipeline
|
||||
if pipeline_operations:
|
||||
await self.internal_usage_cache.dual_cache.async_increment_cache_pipeline(
|
||||
increment_list=pipeline_operations,
|
||||
litellm_parent_otel_span=litellm_parent_otel_span,
|
||||
)
|
||||
except Exception as e:
|
||||
verbose_proxy_logger.exception(
|
||||
f"Error in rate limit failure event: {str(e)}"
|
||||
)
|
||||
|
||||
async def async_post_call_success_hook(
|
||||
self, data: dict, user_api_key_dict: UserAPIKeyAuth, response
|
||||
@@ -581,60 +729,46 @@ class _PROXY_MaxParallelRequestsHandler_v3(CustomLogger):
|
||||
Post-call hook to update rate limit headers in the response.
|
||||
"""
|
||||
try:
|
||||
descriptors = []
|
||||
from pydantic import BaseModel
|
||||
|
||||
# API Key
|
||||
if user_api_key_dict.api_key:
|
||||
descriptors.append(
|
||||
RateLimitDescriptor(
|
||||
key="api_key",
|
||||
value=user_api_key_dict.api_key,
|
||||
rate_limit={
|
||||
"requests_per_unit": user_api_key_dict.rpm_limit
|
||||
or sys.maxsize,
|
||||
"window_size": self.window_size,
|
||||
},
|
||||
litellm_proxy_rate_limit_response = cast(
|
||||
Optional[RateLimitResponse],
|
||||
data.get("litellm_proxy_rate_limit_response", None),
|
||||
)
|
||||
|
||||
if litellm_proxy_rate_limit_response is not None:
|
||||
# Update response headers
|
||||
if hasattr(response, "_hidden_params"):
|
||||
_hidden_params = getattr(response, "_hidden_params")
|
||||
else:
|
||||
_hidden_params = None
|
||||
|
||||
if _hidden_params is not None and (
|
||||
isinstance(_hidden_params, BaseModel)
|
||||
or isinstance(_hidden_params, dict)
|
||||
):
|
||||
if isinstance(_hidden_params, BaseModel):
|
||||
_hidden_params = _hidden_params.model_dump()
|
||||
|
||||
_additional_headers = (
|
||||
_hidden_params.get("additional_headers", {}) or {}
|
||||
)
|
||||
)
|
||||
|
||||
# Check rate limits
|
||||
# rate_limit_response = await self.should_rate_limit(
|
||||
# descriptors=descriptors,
|
||||
# parent_otel_span=user_api_key_dict.parent_otel_span,
|
||||
# read_only=True,
|
||||
# )
|
||||
# Add rate limit headers
|
||||
for status in litellm_proxy_rate_limit_response["statuses"]:
|
||||
prefix = f"x-ratelimit-{status['descriptor_key']}"
|
||||
_additional_headers[
|
||||
f"{prefix}-remaining-{status['rate_limit_type']}"
|
||||
] = status["limit_remaining"]
|
||||
_additional_headers[
|
||||
f"{prefix}-limit-{status['rate_limit_type']}"
|
||||
] = status["current_limit"]
|
||||
|
||||
# # Update response headers
|
||||
# if hasattr(response, "_hidden_params"):
|
||||
# _hidden_params = getattr(response, "_hidden_params")
|
||||
# else:
|
||||
# _hidden_params = None
|
||||
|
||||
# if _hidden_params is not None and (
|
||||
# isinstance(_hidden_params, BaseModel)
|
||||
# or isinstance(_hidden_params, dict)
|
||||
# ):
|
||||
# if isinstance(_hidden_params, BaseModel):
|
||||
# _hidden_params = _hidden_params.model_dump()
|
||||
|
||||
# _additional_headers = _hidden_params.get("additional_headers", {}) or {}
|
||||
|
||||
# # Add rate limit headers
|
||||
# for i, status in enumerate(rate_limit_response["statuses"]):
|
||||
# descriptor = descriptors[i]
|
||||
# prefix = f"x-ratelimit-{descriptor['key']}"
|
||||
# _additional_headers[f"{prefix}-remaining-requests"] = status[
|
||||
# "limit_remaining"
|
||||
# ]
|
||||
# _additional_headers[f"{prefix}-limit-requests"] = status[
|
||||
# "current_limit"
|
||||
# ]
|
||||
|
||||
# setattr(
|
||||
# response,
|
||||
# "_hidden_params",
|
||||
# {**_hidden_params, "additional_headers": _additional_headers},
|
||||
# )
|
||||
setattr(
|
||||
response,
|
||||
"_hidden_params",
|
||||
{**_hidden_params, "additional_headers": _additional_headers},
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
verbose_proxy_logger.exception(
|
||||
|
||||
@@ -2071,6 +2071,7 @@ all_litellm_params = [
|
||||
"mock_response",
|
||||
"mock_timeout",
|
||||
"disable_add_transform_inline_image_block",
|
||||
"litellm_proxy_rate_limit_response",
|
||||
"api_key",
|
||||
"api_version",
|
||||
"prompt_id",
|
||||
|
||||
@@ -5,6 +5,7 @@ import asyncio
|
||||
import os
|
||||
import sys
|
||||
from datetime import datetime
|
||||
from typing import Any, Dict, List, Optional
|
||||
|
||||
import pytest
|
||||
from fastapi import HTTPException
|
||||
@@ -17,6 +18,7 @@ from litellm.proxy.hooks.parallel_request_limiter_v3 import (
|
||||
_PROXY_MaxParallelRequestsHandler_v3 as _PROXY_MaxParallelRequestsHandler,
|
||||
)
|
||||
from litellm.proxy.utils import InternalUsageCache, ProxyLogging, hash_token
|
||||
from litellm.types.utils import ModelResponse, Usage
|
||||
|
||||
|
||||
@pytest.mark.flaky(reruns=3)
|
||||
@@ -35,12 +37,13 @@ async def test_sliding_window_rate_limit_v3(monkeypatch):
|
||||
)
|
||||
|
||||
# Mock the batch_rate_limiter_script to simulate window expiry and use correct key construction
|
||||
window_starts = {}
|
||||
window_starts: Dict[str, int] = {}
|
||||
|
||||
async def mock_batch_rate_limiter(*args, **kwargs):
|
||||
keys = kwargs.get("keys") if "keys" in kwargs else args[0]
|
||||
now = kwargs.get("args")[0] if "args" in kwargs else args[1][0]
|
||||
window_size = kwargs.get("args")[1] if "args" in kwargs else args[1][1]
|
||||
keys = kwargs.get("keys") if kwargs else args[0]
|
||||
args_list = kwargs.get("args") if kwargs else args[1]
|
||||
now = args_list[0]
|
||||
window_size = args_list[1]
|
||||
results = []
|
||||
for i in range(0, len(keys), 3):
|
||||
window_key = keys[i]
|
||||
@@ -118,12 +121,13 @@ async def test_rate_limiter_script_return_values_v3(monkeypatch):
|
||||
)
|
||||
|
||||
# Mock the batch_rate_limiter_script to simulate window expiry and use correct key construction
|
||||
window_starts = {}
|
||||
window_starts: Dict[str, int] = {}
|
||||
|
||||
async def mock_batch_rate_limiter(*args, **kwargs):
|
||||
keys = kwargs.get("keys") if "keys" in kwargs else args[0]
|
||||
now = kwargs.get("args")[0] if "args" in kwargs else args[1][0]
|
||||
window_size = kwargs.get("args")[1] if "args" in kwargs else args[1][1]
|
||||
keys = kwargs.get("keys") if kwargs else args[0]
|
||||
args_list = kwargs.get("args") if kwargs else args[1]
|
||||
now = args_list[0]
|
||||
window_size = args_list[1]
|
||||
results = []
|
||||
for i in range(0, len(keys), 3):
|
||||
window_key = keys[i]
|
||||
@@ -264,12 +268,14 @@ async def test_normal_router_call_tpm_v3(monkeypatch, rate_limit_object):
|
||||
)
|
||||
|
||||
# Mock the batch_rate_limiter_script to simulate window expiry and use correct key construction
|
||||
window_starts = {}
|
||||
window_starts: Dict[str, int] = {}
|
||||
|
||||
async def mock_batch_rate_limiter(*args, **kwargs):
|
||||
keys = kwargs.get("keys") if "keys" in kwargs else args[0]
|
||||
now = kwargs.get("args")[0] if "args" in kwargs else args[1][0]
|
||||
window_size = kwargs.get("args")[1] if "args" in kwargs else args[1][1]
|
||||
print(f"args: {args}, kwargs: {kwargs}")
|
||||
keys = kwargs.get("keys") if kwargs else args[0]
|
||||
args_list = kwargs.get("args") if kwargs else args[1]
|
||||
now = args_list[0]
|
||||
window_size = args_list[1]
|
||||
results = []
|
||||
for i in range(0, len(keys), 3):
|
||||
window_key = keys[i]
|
||||
@@ -372,3 +378,140 @@ async def test_normal_router_call_tpm_v3(monkeypatch, rate_limit_object):
|
||||
final_counter_value = await local_cache.async_get_cache(key=counter_key)
|
||||
|
||||
assert final_counter_value == 1, "Counter should reset to 1 after window expiry"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"token_rate_limit_type",
|
||||
["input", "output", "total"],
|
||||
)
|
||||
@pytest.mark.asyncio
|
||||
async def test_token_rate_limit_type_respected_v3(monkeypatch, token_rate_limit_type):
|
||||
"""
|
||||
Test that the token_rate_limit_type setting is respected when incrementing usage
|
||||
"""
|
||||
# Set up environment and mock general_settings
|
||||
monkeypatch.setenv("LITELLM_RATE_LIMIT_WINDOW_SIZE", "60")
|
||||
|
||||
_api_key = "sk-12345"
|
||||
_api_key = hash_token(_api_key)
|
||||
user_api_key_dict = UserAPIKeyAuth(api_key=_api_key, tpm_limit=100)
|
||||
local_cache = DualCache()
|
||||
parallel_request_handler = _PROXY_MaxParallelRequestsHandler(
|
||||
internal_usage_cache=InternalUsageCache(local_cache)
|
||||
)
|
||||
|
||||
# Mock the get_rate_limit_type method directly since it imports general_settings internally
|
||||
def mock_get_rate_limit_type():
|
||||
return token_rate_limit_type
|
||||
|
||||
monkeypatch.setattr(
|
||||
parallel_request_handler, "get_rate_limit_type", mock_get_rate_limit_type
|
||||
)
|
||||
|
||||
# Create a mock response with different token counts
|
||||
mock_usage = Usage(prompt_tokens=20, completion_tokens=30, total_tokens=50)
|
||||
mock_response = ModelResponse(
|
||||
id="mock-response",
|
||||
object="chat.completion",
|
||||
created=int(datetime.now().timestamp()),
|
||||
model="gpt-3.5-turbo",
|
||||
usage=mock_usage,
|
||||
choices=[],
|
||||
)
|
||||
|
||||
# Create mock kwargs for the success event
|
||||
mock_kwargs = {
|
||||
"litellm_params": {
|
||||
"metadata": {
|
||||
"user_api_key": _api_key,
|
||||
"user_api_key_user_id": None,
|
||||
"user_api_key_team_id": None,
|
||||
"user_api_key_end_user_id": None,
|
||||
}
|
||||
},
|
||||
"model": "gpt-3.5-turbo",
|
||||
}
|
||||
|
||||
# Mock the pipeline increment method to capture the operations
|
||||
captured_operations = []
|
||||
|
||||
async def mock_increment_pipeline(increment_list, **kwargs):
|
||||
captured_operations.extend(increment_list)
|
||||
return True
|
||||
|
||||
monkeypatch.setattr(
|
||||
parallel_request_handler.internal_usage_cache.dual_cache,
|
||||
"async_increment_cache_pipeline",
|
||||
mock_increment_pipeline,
|
||||
)
|
||||
|
||||
# Call the success event handler
|
||||
await parallel_request_handler.async_log_success_event(
|
||||
kwargs=mock_kwargs,
|
||||
response_obj=mock_response,
|
||||
start_time=datetime.now(),
|
||||
end_time=datetime.now(),
|
||||
)
|
||||
|
||||
# Verify that the correct token count was used based on the rate limit type
|
||||
assert (
|
||||
len(captured_operations) == 2
|
||||
), "Should have 2 operations: max_parallel_requests decrement and TPM increment"
|
||||
|
||||
# Find the TPM increment operation (not the max_parallel_requests decrement)
|
||||
tpm_operation = None
|
||||
for op in captured_operations:
|
||||
if op["key"].endswith(":tokens"):
|
||||
tpm_operation = op
|
||||
break
|
||||
|
||||
assert tpm_operation is not None, "Should have a TPM increment operation"
|
||||
|
||||
# Check that the correct token count was used
|
||||
expected_tokens = {
|
||||
"input": mock_usage.prompt_tokens, # 20
|
||||
"output": mock_usage.completion_tokens, # 50 (Note: implementation uses total_tokens for output, which might be a bug)
|
||||
"total": mock_usage.total_tokens, # 50
|
||||
}
|
||||
|
||||
assert (
|
||||
tpm_operation["increment_value"] == expected_tokens[token_rate_limit_type]
|
||||
), f"Expected {expected_tokens[token_rate_limit_type]} tokens for type '{token_rate_limit_type}', got {tpm_operation['increment_value']}"
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_async_log_failure_event_v3():
|
||||
"""
|
||||
Simple test for async_log_failure_event - should decrement max_parallel_requests by 1
|
||||
"""
|
||||
_api_key = "sk-12345"
|
||||
_api_key = hash_token(_api_key)
|
||||
local_cache = DualCache()
|
||||
parallel_request_handler = _PROXY_MaxParallelRequestsHandler(
|
||||
internal_usage_cache=InternalUsageCache(local_cache)
|
||||
)
|
||||
|
||||
# Mock kwargs with user_api_key
|
||||
mock_kwargs = {"litellm_params": {"metadata": {"user_api_key": _api_key}}}
|
||||
|
||||
# Capture pipeline operations
|
||||
captured_ops = []
|
||||
|
||||
async def mock_pipeline(increment_list, **kwargs):
|
||||
captured_ops.extend(increment_list)
|
||||
|
||||
parallel_request_handler.internal_usage_cache.dual_cache.async_increment_cache_pipeline = (
|
||||
mock_pipeline
|
||||
)
|
||||
|
||||
# Call async_log_failure_event
|
||||
await parallel_request_handler.async_log_failure_event(
|
||||
kwargs=mock_kwargs, response_obj=None, start_time=None, end_time=None
|
||||
)
|
||||
|
||||
# Verify correct operation was created
|
||||
assert len(captured_ops) == 1
|
||||
op = captured_ops[0]
|
||||
assert op["key"] == f"{{api_key:{_api_key}}}:max_parallel_requests"
|
||||
assert op["increment_value"] == -1
|
||||
assert op["ttl"] == 60 # default window size
|
||||
|
||||
Reference in New Issue
Block a user