Redis-based distributed RateLimiter for LangChain with RPM/RPS support
Project description
LangChain Redis Rate Limiter
A Redis-based RateLimiter for LangChain, compatible with BaseRateLimiter. It supports both Requests Per Minute (RPM) and Requests Per Second (RPS) limiting, designed to work seamlessly in distributed environments.
Features
- Redis Support: Compatible with Local Redis, AWS ElastiCache.
- LangChain Integration: Inherits from
BaseRateLimiter, allowing direct usage with LangChain models. - Async Support: Supports both sync and async request.
- Distributed Support: Uses Redis to manage shared status across multiple servers or processes.
Installation
pip install langchain-redis-rate-limiter
Usage
Direct Model Integration (Recommended)
You can pass the RedisRateLimiter directly to LangChain models that support the rate_limiter parameter (e.g., ChatOpenAI, ChatAnthropic, ChatGoogleGenerativeAI).
from langchain_redis_rate_limiter import RedisRateLimiter
from langchain_openai import ChatOpenAI
# 1 request per second (60 RPM)
limiter = RedisRateLimiter(
redis_url="redis://localhost:6379",
requests_per_second=1,
check_every_n_seconds=0.1,
max_bucket_size=1
)
model = ChatOpenAI(
model="gpt-4o",
rate_limiter=limiter
)
model.invoke("Hello world")
Parameters
- redis_url: Redis connection URL (e.g., redis://localhost:6379).
- key_prefix: Prefix for Redis keys (default: langchain_limiter). Use different prefixes for different limit rules.
- requests_per_second: The maximum number of requests allowed per second. For example, setting this to 5 means you can make up to five requests each second.
- check_every_n_seconds: When the limit is reached and a request needs to wait, this value determines how often the system checks again to see whether a new request is allowed. Example: 0.1 checks every 0.1 seconds.
- max_bucket_size: Controls how many requests can be handled in a short burst. A larger value allows brief spikes in traffic before the limiter slows things down.
License
Apache-2.0 license
Project details
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