A practical explanation of AI API usage billing, including input tokens, output tokens, model prices, relay multipliers, cache discounts, minimum charges, and batch-job estimates.
A practical explanation of AI context windows, 128K and 1M token limits, long-context caveats, RAG, and how to manage context in real AI workflows.
A practical explanation of OpenAI-compatible APIs, including API keys, base URLs, model names, endpoints, the /v1 suffix, Chat Completions, Responses, and relay providers.
A plain-language explanation of AI tokens, with examples for chat, long-document summaries, coding, context windows, and API billing.