Convex Debouncer

Debounce expensive Convex operations like LLM calls and metrics computation to run only after periods of inactivity, reducing costs and load.

Installation

npm install @ikhrustalev/convex-debouncer

About Convex Debouncer

A server-side debouncing component that prevents expensive operations from running too frequently by waiting for periods of inactivity. It provides three debouncing modes (sliding, fixed, eager) to handle different scenarios like LLM calls, metrics computation, or batch processing. The component schedules functions to run after configurable delays and automatically manages cancellation and rescheduling based on incoming triggers.

Benefits

Reduce API costs by preventing redundant LLM calls during rapid user input
Improve database performance by batching expensive computations after user activity stops
Eliminate race conditions from overlapping heavy operations
Scale backend processing efficiently with configurable delay windows

Use cases

how to debounce expensive operations in Convex

Convex Debouncer lets you wrap expensive operations like AI API calls or complex calculations so they only execute after a specified period of inactivity. This prevents costly redundant operations when users type rapidly or trigger multiple updates in succession.

prevent multiple LLM calls Convex mutations

Use Convex Debouncer to batch LLM API calls by delaying execution until user input stabilizes. The debouncer cancels pending operations when new requests arrive, ensuring only the final input triggers the expensive LLM processing.

optimize Convex backend performance heavy processing

Convex Debouncer reduces backend load by grouping expensive computations like analytics calculations or data aggregations. Instead of running on every database change, operations wait for quiet periods to execute efficiently.

Frequently asked questions

How does Convex Debouncer handle concurrent requests?

Convex Debouncer cancels previous pending operations when new requests arrive within the debounce window. Only the most recent operation executes after the specified delay period, preventing race conditions and redundant processing.

Can I configure different debounce delays for different operations?

Yes, Convex Debouncer allows you to set custom delay periods per operation. You can use short delays for UI updates and longer delays for expensive operations like LLM calls or complex database aggregations.

Does Convex Debouncer work with both mutations and actions?

Convex Debouncer works with any Convex backend operation including mutations, actions, and queries. It provides a wrapper that manages the debouncing logic while preserving the original function signatures and return types.

What happens if my Convex function fails during debounced execution?

Convex Debouncer preserves error handling from your original functions. Failed operations throw errors normally, and you can implement retry logic or error boundaries as needed without affecting the debouncing mechanism.