AgentBudget

What it does

AI agents can keep calling APIs until a task finishes. If something loops or goes wrong, the bill can grow very fast. There is usually no built in way to stop it. AgentBudget is an open source Python SDK that watches every LLM API call in real time and stops the agent the moment it reaches a set spending limit. You add one import, set a budget, and the agent cannot spend more than that.

• AR
  AgentBudget – Real-time dollar budgets for AI agentsFeb 2026 · github.com · ▲7

  Hey HN, I built AgentBudget after an AI agent loop cost me $187 in 10 minutes — GPT-4o retrying a failed analysis over and over. Existing tools (LangSmith, Langfuse) track costs after execution but don't prevent overspend. AgentBudget is a Python SDK that gives each agent session a hard dollar budget with real-time enforcement. Integration is two lines: import agentbudget agentbudget.init("$5.00") It monkey-patches the OpenAI and Anthropic SDKs (same pattern as Sentry/Datadog), so existing code works without changes. When the budget is hit, it raises BudgetExhausted before the next API…

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  AgentSkyAug 2026 · agentsky.dev · ▲430

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• AA
  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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