Agent harness token overhead: where it goes
Two harnesses on one model can bill an order of magnitude apart. The mechanics behind the gap, and how to measure your own agent's token spend.
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Two harnesses on one model can bill an order of magnitude apart. The mechanics behind the gap, and how to measure your own agent's token spend.
Five DeepSeek Harness plugins that change how a rented server behaves: budget caps, tool permission rules, injection scanning, durable memory, LAN access.
Seven levers that cut a Claude bill: annual billing, right sizing the plan, cheaper models, smaller context, prompt caching, batch jobs, and real discounts.
Claude Code spend trackers answer different questions. Compare local log parsers against the built-in usage screens and your own OpenTelemetry stack.
Run one OpenAI-compatible endpoint in front of every provider you use: LiteLLM on a VPS with virtual keys, per-key budgets, fallbacks, and pinned images.
Hit a Claude usage limit? Work out which window you are waiting on, then pick a route: smaller model, smaller context, usage credits, or the API.
Claude output tokens cost five times input. Here is why decoding is slower than prefill, and what that asymmetry does to a real agent bill each month.