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Add Agent Cost Guardrails to LLMOps section #396

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Expand Up @@ -183,6 +183,7 @@ An awesome & curated list of the best LLMOps tools for developers.

| Project | Details | Repository |
| ------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------- |
| [Agent Cost Guardrails](https://github.com/sapph1re/agent-cost-guardrails) | Budget limits and cost guardrails for AI agent frameworks (CrewAI, AutoGen, LangGraph). Framework-native hooks with hard token caps, cost alerts, and spend tracking. Prevents surprise bills from runaway agent costs. | ![GitHub Badge](https://img.shields.io/github/stars/sapph1re/agent-cost-guardrails.svg?style=flat-square) |
| [agenta](https://github.com/Agenta-AI/agenta) | The LLMOps platform to build robust LLM apps. Easily experiment and evaluate different prompts, models, and workflows to build robust apps. | ![GitHub Badge](https://img.shields.io/github/stars/Agenta-AI/agenta.svg?style=flat-square) |
| [AgentMark](https://github.com/puzzlet-ai/agentmark) | Type-Safe Markdown-based Agents | ![GitHub Badge](https://img.shields.io/github/stars/Puzzlet-ai/agentmark.svg?style=flat-square) |
| [AI studio](https://github.com/missingstudio/ai) | A Reliable Open Source AI studio to build core infrastructure stack for your LLM Applications. It allows you to gain visibility, make your application reliable, and prepare it for production with features such as caching, rate limiting, exponential retry, model fallback, and more. | ![GitHub Badge](https://img.shields.io/github/stars/missingstudio/ai.svg?style=flat-square) |
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