AI Tools Kit
Token ToolsNewsAgentsEarnPromptsRAGTOONLearn
AI Infrastructure

How an LLM API Request Actually Travels the Network

Trace an LLM call from fetch() to first token: DNS, TCP, TLS 1.3, HTTP/2 vs HTTP/3 (QUIC), and SSE streaming — and why TTFT, not transport, dominates.

Published June 16, 2026
16 min read
AI

AI Tools Kit

AI Tools Kit provides free developer tools for working with AI language models. Built by developers, for developers.

Learn more about us →

Related Articles

AI Infrastructure

DNS for AI Systems: Why Agents Time Out First

How CoreDNS, the ndots:5 search-domain blowup, and the Linux conntrack race produce 5-second AI agent timeouts that masquerade as a slow model — and how to fix them.

AI Infrastructure

Load Balancing LLM Inference at Scale

Why round-robin and L4 load balancing fail for LLM traffic, how KV-cache-aware routing and the Gateway API Inference Extension cut TTFT, and who actually needs this.

AI Infrastructure

Rate Limits, Retries & Backpressure in AI Systems

How LLM API rate limits really work, why you must read Retry-After and x-ratelimit headers, and how backoff with jitter and backpressure stop 429 storms.

AI Tools Kit

Free tools to calculate tokens, estimate costs, and understand how AI models process your text.

Tools

Token CalculatorToken VisualizerTOON ConverterPricing Calculator

Resources

Learn & BlogNewsAI AgentsPrompt LibraryRAG ToolsAbout Us

Legal

Privacy PolicyTerms of ServiceContact Us

Pricing last updated: February 2026

© 2026 AI Tools Kit. All rights reserved.

Token calculations are estimates. For precise counts, use official tokenizers.