Load Test an LLM API Without Misleading ResultsProduction guide: Load Test an LLM API Without Misleading Results. It includes a deterministic artifact, failure boundaries, rollout checks, and source-qualified limitations. Decision first Load Test 1d ago · 4 min readmodelflare.hashnode.dev
An open-source desktop agent that follows DeepSeek's super-agent design (and what we left out)Disclosure: I maintain AnyModelBot. This is an unofficial project, not affiliated with DeepSeek. Most chatbots wait for you to speak and stop when they answer. Plenty of real work is not a question an3d ago · 6 min readmodelflare.hashnode.dev
Why AI Agent Cache Hit Rates Collapse: GPT, Claude, and Auditable GatewaysA source-backed guide to third-party agent cache failures, GPT and Claude prompt-caching mechanics, reproducible hit-rate measurement, and Modelflare's public compensation boundary. AI agent caching i6d ago · 12 min readmodelflare.hashnode.dev
How to Evaluate an AI API Gateway: A Production ChecklistA reproducible gateway evaluation covering protocol conformance, failure drills, latency, usage and cost reconciliation, security, operations, and exit risk. Evaluate an AI API gateway by running yourOct 27 · 13 min readmodelflare.hashnode.dev
Claude Opus 5.5: Specs, Price, and Place in the FieldA source-backed account of Claude Opus 5.5: published specs, official token prices, how to read the benchmark table against Fable 5.1, Opus 5, and GPT-6 Astra, and the Modelflare groups and user priceOct 22 · 17 min readmodelflare.hashnode.dev
