AI gateway rate limiting: token bucket vs sliding window
Implement dual-dimensional rate limiting for AI gateways to handle TPM and RPM limits while preventing 429 errors during traffic spikes.
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135 articles
Implement dual-dimensional rate limiting for AI gateways to handle TPM and RPM limits while preventing 429 errors during traffic spikes.
Deploy the correct LangGraph checkpoint backend by comparing SQLite and PostgreSQL performance, migration steps, and failure recovery strategies.
Implement time-decayed retrieval to fix agent hallucination errors by weighting recency and relevance in vector databases for accurate episodic memory.
Diagnose GPU OOM errors and low cache hit rates by comparing contiguous vs paged KV cache layouts for LLM inference workloads.
Construct a reproducible benchmarking harness to measure speculative decoding speedup using wall-clock time and valid statistical sampling methods.
Compare vLLM and TensorRT-LLM KV cache offloading architectures to select the correct system for your latency constraints and deploy long-context models confidently.
Configure Redis eviction policies to align memory pressure with LLM token consumption patterns and reduce API costs.
Implement retry logic with exponential backoff and idempotency keys to prevent duplicate side effects in your AI agent tool calls.
Build a fault-tolerant GraphRAG indexing pipeline architecture with stage isolation and resource planning to handle million-node knowledge graphs.
Implement Multi-head Latent Attention in PyTorch to compress KV cache memory by 83% while preserving model quality for long-context LLM inference.
Implement a semantic cache for OpenAI API calls with RedisVL to eliminate duplicate LLM requests and significantly lower your application's operating costs.
Deploy a state-aware AI gateway circuit breaker that routes around degraded LLM providers in under 50ms with zero request loss and intelligent failover.
Configure production-grade human-in-the-loop approval workflows in LangGraph with persistent state that survives restarts, handles concurrency, and ensures data integrity.
Desktop AI freezes when Claude streams token‑by‑token. Fix it with Claude vs OpenAI Assistants API: async loop, SQLite store, hybrid fallback for GUI agents.
Implement LangGraph checkpoints to build resilient human approval workflows with proper state persistence and error recovery patterns.
Implement a three-tier agent memory architecture to reduce redundant API calls and maintain coherent conversations with eviction policies.
Understand how RadixAttention prefix caching in vLLM eliminates redundant prefill computation to significantly reduce time-to-first-token latency.
Build a Python MCP server using STDIO transport with raw JSON-RPC, diagnose real transport failures, and implement maintainable SDK-based patterns.