Tokenwall
Circuit breaker for AI agents. Catch loops at iteration 3
What it does
Tokenwall stops AI agent loops before the dollar ceiling trips. Reserve-then-commit budgeting per action. Per-user, per-task, per-agent attribution. Built by someone who runs treasury at tier-1 banks. Free during private beta, first 20 builders.
Does the same job
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- AAAgentGuard – Auto-kill AI agents before they burn through your budget2025 · github.com · ▲47
Your AI agent hits an infinite loop and racks up $2000 in API charges overnight. This happens weekly to AI developers. AgentGuard monitors API calls in real-time and automatically kills your process when it hits your budget limit. How it works: Add 2 lines to any AI project: const agentGuard = require('agent-guard'); await agentGuard.init({ limit: 50 }); // $50 budget // Your existing code runs unchanged const response = await openai.chat.completions.create({...}); // AgentGuard tracks costs automatically When your code hits $50 in API costs, AgentGuard stops…
- TTTokencap – Token budget enforcement across your AI agentsApr 2026 · github.com · ▲7
I built this after hitting the same wall repeatedly — no good way to enforce token budgets in application code. Provider caps are account-level and tell you what happened, not what is happening. Two ways to add it: # Direct client wrapper client = tokencap.wrap(anthropic.Anthropic(), limit=50_000) # LangChain, CrewAI, AutoGen, etc. tokencap.patch(limit=50_000) Four actions at configurable thresholds: WARN, DEGRADE (transparent model swap), BLOCK, and WEBHOOK. SQLite out of the box, Redis for multi-agent setups. One design decision worth mentioning: tokencap tracks tokens, not dollars. Token…
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