Design a Billing-Token Rate Limiter for AI Agents
Last updated: August 1, 2026
Quick Overview
Design a billing-token rate limiter that manages the usage of AI agents based on a token system.
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Design a billing-token rate limiter that manages the usage of AI agents based on a token system.
This question is typically asked during the onsite interview round for software engineering roles at Google to assess the candidate's ability to design scalable and efficient systems. The interviewer is looking for a structured approach to system design, focusing on how the candidate handles requirements gathering, high-level architecture, and potential trade-offs in their solution.
What the Interviewer Expects
- Clearly define the requirements and constraints of the system.
- Provide a high-level design that includes key components and their interactions.
- Discuss trade-offs made in the design, including scalability and performance considerations.
- Identify potential bottlenecks and how to mitigate them.
- Explain how the rate limiter integrates with AI agents and handles token management.
Key Topics to Cover
How to Approach This
- Start by clarifying functional and non-functional requirements with the interviewer.
- Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
- Draw a high-level architecture first, then deep dive into 1-2 critical components.
- Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
- Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
- How would you handle burst traffic in this system?
- What strategies would you implement to ensure fairness among users?
- Can you discuss how this system could be extended to support additional features?
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Practice System Design ProblemsSample Answer
Requirements
The primary requirement for the billing-token rate limiter is to control the usage of AI agents based on a token system. Each user should have a specific quota of tokens that dictate how many requests...
High-Level Design
The high-level architecture consists of several components: a Token Manager, a Request Handler, and a Database. The Token Manager is responsible for issuing and validating tokens, while the Request Ha...
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