Topic
Load & Stress Testing LLM Endpoints
12 posts on load & stress testing llm endpoints — part of developer tools on the n4n AI blog.
Why token throughput drops under concurrent load
Analyzes why token throughput under concurrent load falls short of single-stream benchmarks, covering queueing, batching, and KV-cache limits.
Testing LLM API timeout and retry behavior under load
Practical guide to LLM API timeout and retry testing under load: build fault-injecting mocks, run concurrent load, and verify client resilience.
Stress testing LLM endpoints for rate limit behavior
Step-by-step method for stress testing LLM rate limits: build a concurrent harness, trigger 429s, verify backoff and gateway fallback behavior.
Measuring p99 latency under load for LLM inference
A practical how-to for p99 latency measurement under load on LLM inference endpoints, with runnable code for load generation and percentile analysis.
Load testing tools for LLM endpoints compared
A head-to-head LLM load testing tools comparison of k6, Locust, Gatling, JMeter, and Artillery across streaming, cost, and scale dimensions.
Load testing streaming vs non-streaming LLM responses
A practical guide to streaming vs non-streaming load testing for LLM APIs: tooling, traffic modeling, metrics, and pitfalls engineers hit when scaling.
Load testing checklist before an LLM product launch
A practical LLM product launch load testing checklist covering traffic modeling, streaming, rate limits, tail latency, retries, and soak tests for engineers.
How to stress test multi-provider LLM failover
Step-by-step guide to building a Python load harness for stress testing LLM failover across multiple providers, including fault injection and metrics.
How to simulate traffic spikes against LLM APIs
A hands-on tutorial for simulating traffic spikes on LLM APIs with Python and Locust, covering setup, ramp-up, and reading saturation points.
How to load test an LLM API with k6
Step-by-step guide to load testing LLM API with k6: script OpenAI-compatible endpoints, handle streaming, measure token latency, and analyze results.
Building synthetic load tests for chat completion endpoints
Step-by-step guide to building synthetic load tests for chat completions endpoints using Python and Locust, with realistic prompt mixes and metrics.
Benchmarking concurrent request limits on GPT-4o and Claude
A practical analysis of GPT-4o and Claude concurrent request limits: how to benchmark real-world LLM endpoint throughput and design for graceful degradation.
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