Agent Token Budgeter & Vibe-Coding Debt Analyzer
Simulate multi-turn ReAct agent loops, measure quadratic context window explosion, quantify prompt cache savings across frontier models, and score your codebase against vibe-coding architectural debt.
Model & Agent Parameters
Frontier hybrid reasoning & coding agent default with 90% cache discount
File views, ripgrep outputs, test execution stacks, or MCP query returns.
Team & Monthly Projection Settings
Vibe-Coding Debt Score:
100 / 100Turn-by-Turn Context Accumulation Curve
Active Compaction: 20%Every conversational turn resends all prior user queries, model responses, and bulky MCP tool outputs. Without sliding compaction, a 20-turn agent session re-reads tens of thousands of redundant tokens on every call.
Read Context Hygiene GuideAnthropic, OpenAI, and DeepSeek cache static prefixes at up to 90% discount. Storing system instructions and tool schemas identically at the beginning of each payload dramatically slashes operational costs.
Build Cached MCP ConfigsNeed deterministic circuit breakers and multi-agent harnesses ready to deploy? Clone tested recipes and pytest suites from the open-source companion monorepo.
Explore zerolabs-recipes