LLM proxy vs LLM gateway for Claude Code and Codex
Gateways route and meter; compression proxies shrink. What each does for Claude Code and Codex teams, and when to use both.
Gateways route and meter; compression proxies shrink. What each does for Claude Code and Codex teams, and when to use both.
What a proxy between your agent and the model can see, what to ask any vendor, and how to evaluate data retention and security.
When a Pro or Max plan beats pay-as-you-go API billing for Claude Code, and when it flips.
What AI coding agents cost per engineer, why spend is so uneven across a team, and how to track, cap and cut it.
Why input tokens dominate agent bills, how cache reads and writes are priced, and how to estimate a session's cost.
Every way to see where Claude Code tokens go: /cost, /status, /context, OpenTelemetry, usage dashboards and dense info.
How prompt caching works in Claude Code and Codex, what it does and does not save, and how compression stacks on top.
Where Claude Code tokens actually go, and the habits, settings and tools that cut them without making the agent worse.
How Cursor's request and credit model compares with Claude subscriptions and API billing, and which wastes less.
How to decide what goes into an agent's context window: instructions, memory, tool results, compaction and compression.
How ChatGPT plan limits for Codex compare with Claude plan limits for Claude Code, and how to stretch either one.
Claude Code on Pro, Max or API keys: what each costs, what a heavy month looks like, and where the money goes.
A fair comparison of token and context compression options: built-in compaction, LLMLingua, rtk, Headroom, prompt caching and Condense.
Three ways to cut Claude Code tokens, what each one compresses, and the one Terminal-Bench run we have on cost per solved task.
Why bash output, test logs and JSON tool results dominate agent context, and how to trim them without hiding the error.
Hit your Claude Code limit after an hour? Here is what eats the 5-hour and weekly allowance, and what actually stretches it.
Who actually needs Max, who is fine on Pro, and how to get more out of whichever plan you are on before upgrading.
How the 5-hour session window and the weekly cap work, how to check what you have left, and what to do when you hit them.
How tool definitions, MCP servers and large CLAUDE.md files eat context before you type, and how to measure and trim them.
What fills the Claude Code context window, what auto-compact does when it runs out, and how to keep long sessions usable.
How prompt compression methods work, why most research benchmarks are not coding agents, and what holds up on real repos.
Context compression, token compression and compaction explained: the methods, the trade-offs, and how to tell if it hurt your agent.
Why agents get dumber as sessions grow, what the research says about long-context degradation, and how to keep quality up.
What counts against Codex CLI limits on ChatGPT Plus and Pro, when they reset, and practical ways to burn less.
What /compact keeps and throws away, how to write compact instructions, and when a clean /clear is better.