Rate Limiting And Throttling With Distributed State

via “rate-limiting-and-throttling-with-distributed-state”

Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]

Unique: Implements distributed rate limiting using Redis with support for multiple limit strategies (requests/minute, tokens/hour, cost/day), with automatic HTTP 429 responses and retry-after headers, enabling fair resource allocation across multi-tenant deployments

vs others: More sophisticated than simple request counting; supports token-based and cost-based limits in addition to request counts, enabling fine-grained control over LLM usage