Async LLM Calls
Asynchronous LLM call patterns for high-throughput applications - concurrency control with semaphores, producer-consumer queues, token bucket rate limiting, circuit breakers, and async orchestration patterns.
5 docs tagged with "production-ai-patterns"
View all tagsBatch Processing with LLMs
Efficiently processing large document sets with LLM batch APIs - Anthropic Batch API, cost optimization, monitoring, checkpointing, and production patterns for overnight and large-scale LLM workloads.
Cost Optimization Patterns
Practical LLM cost reduction - semantic caching, model routing, prompt compression, Anthropic prompt caching, output length control, cost attribution, and monitoring for production AI systems.
Idempotency and Retries
Making LLM-powered workflows robust with idempotency keys, smart retries, distributed deduplication, workflow state persistence, and failure-tolerant pipeline design for production AI systems.
Streaming Responses
Implementing and optimizing streaming for real-time LLM response delivery - SSE, chunking strategies, backpressure, tool use streaming, and production patterns for perceived performance.