Rate Limiting and Abuse Prevention

Imagine a popular restaurant. If everyone tries to order at once, the kitchen gets overwhelmed! Rate limiting is like the restaurant managing orders to ensure smooth service for everyone.

In the world of LLM applications, rate limiting controls how often a user or system can make requests to your API or the underlying LLM provider.

Rate limiting is crucial for LLM applications for several reasons:

• Cost Control: LLM API calls often have a per-token or per-request cost. Uncontrolled usage can lead to unexpected high bills.
• Abuse Prevention: Malicious actors might try to overwhelm your service with requests (DDoS) or exploit it for their own purposes.
• Service Stability: Prevents a single user or a small group from monopolizing resources, ensuring fair access and consistent performance for all users.
• API Compliance: LLM providers (like OpenAI) have their own rate limits, and you need to respect them to avoid being blocked.