Stop Your OpenAI Bill from Exploding: Per-User LLM Budget Caps in Node.js
📰 Dev.to · Phasu Yeneng
Learn to cap OpenAI costs per user in Node.js using Express middleware and Postgres to avoid exploding bills
Action Steps
- Create an Express middleware function to track LLM usage per user
- Implement soft and hard cap logic to limit LLM costs
- Configure semantic caching to optimize performance and reduce unnecessary API calls
- Set up a Postgres database to store user-specific LLM usage and cap settings
- Integrate the middleware with your Node.js application to enforce per-user budget caps
Who Needs to Know This
This technique benefits developers and DevOps teams working with LLMs and OpenAI APIs, helping them manage costs and prevent unexpected expenses. It's particularly useful for teams with multiple users or applications leveraging LLM capabilities.
Key Insight
💡 Capping LLM costs per user can prevent unexpected expenses and help manage budgets effectively
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🚀 Control your OpenAI costs with per-user LLM budget caps in Node.js! 📊
Key Takeaways
Learn to cap OpenAI costs per user in Node.js using Express middleware and Postgres to avoid exploding bills
Full Article
A pragmatic, copy-paste-able pattern for capping LLM costs per user using Express middleware, soft/hard caps, and semantic caching — backed by Postgres.
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