Fix Figma Weave Error 429 Too Many Requests

Figma Weave returns an HTTP 429 Too Many Requests status code when your integration, plugin, or script exceeds the rate limits set on the API. This error prevents your application from fetching design assets, updating variables, or reading design systems until the rate limit window resets.

This issue usually occurs during automated batch updates, rapid CI/CD runs, or when multiple developers share a single API token. Below is a step-by-step guide to troubleshooting, mitigating, and resolving Figma Weave 429 errors.

Step 1: Inspect the Rate Limit Headers Before changing any code, inspect the raw HTTP response headers returned by the Figma Weave API when the 429 error occurs. Figma Weave provides explicit throttling metadata in its response headers:

1. Retry-After: This header specifies the exact number of seconds you must wait before making another request. Always parse this header in your error-handling logic.
2. X-RateLimit-Limit: Indicates the maximum number of requests allowed in the current time window.
3. X-RateLimit-Remaining: Shows how many requests you have left before hitting the threshold.
4. X-RateLimit-Reset: A Unix timestamp indicating when the current rate limit window will reset.

Log these headers in your application's debug console to identify whether the rate limiting is short-term (e.g., per-minute spikes) or long-term (e.g., daily quotas).

Step 2: Implement Exponential Backoff with Jitter If your script or application automatically retries failed requests, immediate retries will worsen the rate limit block. Implement an exponential backoff algorithm with "jitter" (randomized delay) to space out retries.

Avoid writing static sleep loops. Instead, structure your API client's retry logic like this: - Initial Delay: Start with a base delay of 1 to 2 seconds. - Multiplier: Double the delay time with each successive failure (e.g., 2s, 4s, 8s). - Jitter: Add a small, random variance (e.g., +/- 500ms) to ensure multiple distributed clients do not hit the API at the exact same millisecond when retrying. - Fallback: If the Retry-After header is present, override your backoff math and pause execution for the exact duration requested by the server.

Step 3: Batch and Throttle Concurrent Outgoing Calls If you are using asynchronous JavaScript (`Promise.all()`) or multithreaded environments to process multiple Figma frames or nodes simultaneously, you can easily saturate the connection.

1. Limit Concurrency: Restrict your active parallel requests to a maximum of 5 to 10 concurrent calls. Use libraries like p-limit in Node.js or semaphore patterns in other languages to manage execution queues.
2. Batch Requests: Instead of making a separate API call for every single design asset or component node, check if the Figma Weave API endpoint supports batch parameters. Querying multiple node IDs within a single request dramatically reduces overall network overhead and rate-limit consumption.

Step 4: Implement Local Caching for Build Pipelines In CI/CD environments, running a pipeline that queries Figma Weave on every commit or pull request will quickly deplete your API limits.

1. Cache Webhook Payloads: Instead of polling the Weave API to detect design changes, configure Figma webhooks to notify your server only when changes actually occur.
2. Local File Caching: Cache fetched design tokens, components, or JSON schemas locally within your build runner. If your build script runs locally during active development, save the API payload to a temporary local file (e.g., .weave-cache.json) and configure a Time-To-Live (TTL) of 15 to 30 minutes. Only query the live Figma Weave API if the cache has expired.

Step 5: Consolidate Shared API Tokens If your entire development team or multiple staging servers share a single Figma developer token, you share the same rate-limit pool.

1. Check your team's integration settings and ensure that individual developers use their own personal access tokens (PATs) for local testing.
2. Reserve your system-wide service account or OAuth tokens strictly for production pipelines and centralized staging servers.

When to escalate If you are building an enterprise-level integration and your volume systematically exceeds standard rate limits despite full optimization, local caching, and batching, contact your Figma Account Administrator. You may need to request an enterprise-tier API quota increase or transition your integration to a dedicated OAuth application with higher rate thresholds.