Caplyr

What it does

Stop runaway AI API bills automatically. Wrap your OpenAI, Anthropic, Groq, or Together AI client with protect() — two lines of code, zero config. Caplyr enforces budget limits, auto-downgrades to cheaper models when costs spike, and lets you halt all API calls instantly with a kill switch. No proxy. No infra changes. Your calls go directly to the provider. Free tier available — first 5 users get Growth ($99/mo) free for life.

Stop runaway API bills automatically. Budget guardrails, auto-downgrade, and kill switch for your AI API calls. Two lines of code.

A single prompt loop can burn $1,000+ overnight. Are your API calls protected? Budget guardrails, auto-downgrade, and kill switch for your AI API calls. Two lines of code. Zero config. Works with OpenAI, Anthropic, Groq & Together AI. No rewrites. No proxy. No infra changes. Caplyr sits in the execution path of your AI calls. It doesn't just watch — it enforces. Set a limit. Hit it — we block the request. No exceptions, no overruns, no surprise invoices. Running hot? We switch to a cheaper model instantly. Your app stays up. Your costs go down. Users never notice. Something wrong? One click. All AI calls stop. All spend stops. Instantly. No questions asked. Step-by-step guides for Vercel,…from caplyr.com

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  AgentGuard – 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…

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  BursoraJul 2026 · bursora.com · ▲26

  Cap your AI spend before the bill lands

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  LoopGain – Stop agent loops with control theory, not max_iterationsJul 2026 · github.com · ▲31

  An open-source cost controller for AI agent loops — stops a loop when it's actually converged and rolls back before it degrades, instead of running to a fixed max_iterations cap. Real-time loop-gain (Aβ) bands + best-so-far rollback. Adapters for LangGraph, CrewAI, AutoGen, LangChain, OpenAI Agents,

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  llm-cost-guardJun 2026 · github.com · ▲2

  Stop runaway LLM API spend before it happens

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  Unsoil - Slash your AI costs by a Third2025 · ▲4

  Clean up your AI bills with one line of code

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  Tokencap – 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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