From klaviyo-pack
Implement Klaviyo rate limiting, backoff, and request queuing patterns. Use when handling 429 errors, implementing retry logic, or optimizing API request throughput for Klaviyo. Trigger with phrases like "klaviyo rate limit", "klaviyo throttling", "klaviyo 429", "klaviyo retry", "klaviyo backoff", "klaviyo Retry-After".
npx claudepluginhub flight505/skill-forge --plugin klaviyo-packThis skill is limited to using the following tools:
Handle Klaviyo's per-account fixed-window rate limits with proper `Retry-After` header handling, exponential backoff, and request queuing.
Guides Next.js Cache Components and Partial Prerendering (PPR): 'use cache' directives, cacheLife(), cacheTag(), revalidateTag() for caching, invalidation, static/dynamic optimization. Auto-activates on cacheComponents: true.
Guides building MCP servers enabling LLMs to interact with external services via tools. Covers best practices, TypeScript/Node (MCP SDK), Python (FastMCP).
Share bugs, ideas, or general feedback.
Handle Klaviyo's per-account fixed-window rate limits with proper Retry-After header handling, exponential backoff, and request queuing.
klaviyo-api SDK installedKlaviyo uses per-account fixed-window rate limiting with two distinct windows:
| Window | Duration | Limit | Description |
|---|---|---|---|
| Burst | 1 second | 75 requests | Short spike protection |
| Steady | 1 minute | 700 requests | Sustained throughput cap |
Both windows apply simultaneously. Exceeding either triggers a 429 Too Many Requests.
On successful requests:
| Header | Description |
|---|---|
RateLimit-Limit | Max requests for the window |
RateLimit-Remaining | Remaining requests in window |
RateLimit-Reset | Seconds until window resets |
On 429 responses (different headers!):
| Header | Description |
|---|---|
Retry-After | Integer seconds to wait before retrying |
Critical: When you hit a 429,
RateLimit-*headers are NOT returned. OnlyRetry-Afteris present.
// src/klaviyo/rate-limiter.ts
export async function withRateLimitRetry<T>(
operation: () => Promise<T>,
options = { maxRetries: 5, baseDelayMs: 1000, maxDelayMs: 60000 }
): Promise<T> {
for (let attempt = 0; attempt <= options.maxRetries; attempt++) {
try {
return await operation();
} catch (error: any) {
if (attempt === options.maxRetries) throw error;
const status = error.status;
// Only retry on 429 (rate limit) and 5xx (server errors)
if (status !== 429 && (status < 500 || status >= 600)) throw error;
let delayMs: number;
if (status === 429) {
// ALWAYS honor Klaviyo's Retry-After header
const retryAfter = error.headers?.['retry-after'];
delayMs = retryAfter
? parseInt(retryAfter) * 1000
: options.baseDelayMs * Math.pow(2, attempt);
} else {
// 5xx: exponential backoff with jitter
const exponential = options.baseDelayMs * Math.pow(2, attempt);
const jitter = Math.random() * options.baseDelayMs;
delayMs = Math.min(exponential + jitter, options.maxDelayMs);
}
console.log(`[Klaviyo] ${status} on attempt ${attempt + 1}. Retrying in ${delayMs}ms...`);
await new Promise(r => setTimeout(r, delayMs));
}
}
throw new Error('Unreachable');
}
// src/klaviyo/queue.ts
import PQueue from 'p-queue';
// Respect Klaviyo's 75 req/s burst limit
// Leave headroom: target 60 req/s to avoid hitting the wall
const klaviyoQueue = new PQueue({
concurrency: 10, // Max parallel requests
interval: 1000, // Per second
intervalCap: 60, // 60 requests per second (safe margin)
});
export async function queuedKlaviyoCall<T>(
operation: () => Promise<T>
): Promise<T> {
return klaviyoQueue.add(() => withRateLimitRetry(operation));
}
// Monitor queue health
klaviyoQueue.on('idle', () => console.log('[Klaviyo] Queue drained'));
console.log(`[Klaviyo] Queue: pending=${klaviyoQueue.pending} size=${klaviyoQueue.size}`);
// src/klaviyo/monitor.ts
class RateLimitMonitor {
private burstRemaining = 75;
private steadyRemaining = 700;
private burstResetAt = Date.now();
private steadyResetAt = Date.now();
updateFromHeaders(headers: Record<string, string>): void {
const remaining = headers['ratelimit-remaining'];
const reset = headers['ratelimit-reset'];
if (remaining !== undefined) {
this.burstRemaining = parseInt(remaining);
}
if (reset !== undefined) {
this.burstResetAt = Date.now() + parseInt(reset) * 1000;
}
}
shouldThrottle(): boolean {
return this.burstRemaining < 10 && Date.now() < this.burstResetAt;
}
getWaitMs(): number {
if (!this.shouldThrottle()) return 0;
return Math.max(0, this.burstResetAt - Date.now());
}
getStatus(): { burstRemaining: number; shouldThrottle: boolean } {
return {
burstRemaining: this.burstRemaining,
shouldThrottle: this.shouldThrottle(),
};
}
}
export const rateLimitMonitor = new RateLimitMonitor();
// Process large datasets without hitting rate limits
export async function bulkProfileSync(
profiles: Array<{ email: string; firstName?: string; properties?: Record<string, any> }>,
batchSize = 50, // Profiles per batch
delayMs = 1000 // Delay between batches
): Promise<{ success: number; failed: number }> {
let success = 0;
let failed = 0;
for (let i = 0; i < profiles.length; i += batchSize) {
const batch = profiles.slice(i, i + batchSize);
const results = await Promise.allSettled(
batch.map(p =>
queuedKlaviyoCall(() =>
profilesApi.createOrUpdateProfile({
data: {
type: 'profile' as any,
attributes: {
email: p.email,
firstName: p.firstName,
properties: p.properties,
},
},
})
)
)
);
success += results.filter(r => r.status === 'fulfilled').length;
failed += results.filter(r => r.status === 'rejected').length;
console.log(`[Klaviyo] Batch ${Math.floor(i / batchSize) + 1}: ${success} ok, ${failed} failed`);
// Pace between batches
if (i + batchSize < profiles.length) {
await new Promise(r => setTimeout(r, delayMs));
}
}
return { success, failed };
}
| Endpoint Category | Burst (1s) | Steady (1m) |
|---|---|---|
| Most endpoints | 75 | 700 |
| Create Event | 75 | 700 |
| Bulk Subscribe | 75 | 700 |
| Reporting | Lower (varies) | Lower (varies) |
| Scenario | Detection | Solution |
|---|---|---|
| Burst exceeded | 429 + short Retry-After | Wait Retry-After seconds |
| Steady exceeded | 429 + longer Retry-After | Queue requests, reduce concurrency |
| Thundering herd | Multiple 429s after resume | Add random jitter to retry delays |
| Stuck at 429 | Retry-After keeps growing | Reduce request volume; check for runaway loops |
For security configuration, see klaviyo-security-basics.