---
name: groq-rate-limits-6b44b3add5fb
description: |
  Implement Groq rate limiting, backoff, and idempotency patterns.
  Use when handling rate limit errors, implementing retry logic,
  or optimizing API request throughput for Groq.
  Trigger with phrases like "groq rate limit", "groq throttling",
  "groq 429", "groq retry", "groq backoff".
allowed-tools: Read, Write, Edit
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
---

# Groq Rate Limits

## Overview
Handle Groq rate limits gracefully with exponential backoff and idempotency.

## Prerequisites
- Groq SDK installed
- Understanding of async/await patterns
- Access to rate limit headers

## Instructions

### Step 1: Understand Rate Limit Tiers

| Tier | Requests/min | Requests/day | Burst |
|------|-------------|--------------|-------|
| Free | 60 | 1,000 | 10 |
| Pro | 300 | 10,000 | 50 |
| Enterprise | 1,000 | 100,000 | 200 |

### Step 2: Implement Exponential Backoff with Jitter

```typescript
async function withExponentialBackoff<T>(
  operation: () => Promise<T>,
  config = { maxRetries: 5, baseDelayMs: 1000, maxDelayMs: 32000, jitterMs: 500 }
): Promise<T> {
  for (let attempt = 0; attempt <= config.maxRetries; attempt++) {
    try {
      return await operation();
    } catch (error: any) {
      if (attempt === config.maxRetries) throw error;
      const status = error.status || error.response?.status;
      if (status !== 429 && (status < 500 || status >= 600)) throw error;

      // Exponential delay with jitter to prevent thundering herd
      const exponentialDelay = config.baseDelayMs * Math.pow(2, attempt);
      const jitter = Math.random() * config.jitterMs;
      const delay = Math.min(exponentialDelay + jitter, config.maxDelayMs);

      console.log(`Rate limited. Retrying in ${delay.toFixed(0)}ms...`);
      await new Promise(r => setTimeout(r, delay));
    }
  }
  throw new Error('Unreachable');
}
```

### Step 3: Add Idempotency Keys

```typescript
import { v4 as uuidv4 } from 'uuid';
import crypto from 'crypto';

// Generate deterministic key from operation params (for safe retries)
function generateIdempotencyKey(operation: string, params: Record<string, any>): string {
  const data = JSON.stringify({ operation, params });
  return crypto.createHash('sha256').update(data).digest('hex');
}

async function idempotentRequest<T>(
  client: GroqClient,
  params: Record<string, any>,
  idempotencyKey?: string  // Pass existing key for retries
): Promise<T> {
  // Use provided key (for retries) or generate deterministic key from params
  const key = idempotencyKey || generateIdempotencyKey(params.method || 'POST', params);
  return client.request({
    ...params,
    headers: { 'Idempotency-Key': key, ...params.headers },
  });
}
```

## Output
- Reliable API calls with automatic retry
- Idempotent requests preventing duplicates
- Rate limit headers properly handled

## Error Handling
| Header | Description | Action |
|--------|-------------|--------|
| X-RateLimit-Limit | Max requests | Monitor usage |
| X-RateLimit-Remaining | Remaining requests | Throttle if low |
| X-RateLimit-Reset | Reset timestamp | Wait until reset |
| Retry-After | Seconds to wait | Honor this value |

## Examples

### Queue-Based Rate Limiting
```typescript
import PQueue from 'p-queue';

const queue = new PQueue({
  concurrency: 5,
  interval: 1000,
  intervalCap: 10,
});

async function queuedRequest<T>(operation: () => Promise<T>): Promise<T> {
  return queue.add(operation);
}
```

### Monitor Rate Limit Usage
```typescript
class RateLimitMonitor {
  private remaining: number = 60;
  private resetAt: Date = new Date();

  updateFromHeaders(headers: Headers) {
    this.remaining = parseInt(headers.get('X-RateLimit-Remaining') || '60');
    const resetTimestamp = headers.get('X-RateLimit-Reset');
    if (resetTimestamp) {
      this.resetAt = new Date(parseInt(resetTimestamp) * 1000);
    }
  }

  shouldThrottle(): boolean {
    // Only throttle if low remaining AND reset hasn't happened yet
    return this.remaining < 5 && new Date() < this.resetAt;
  }

  getWaitTime(): number {
    return Math.max(0, this.resetAt.getTime() - Date.now());
  }
}
```

## Resources
- [Groq Rate Limits](https://docs.groq.com/rate-limits)
- [p-queue Documentation](https://github.com/sindresorhus/p-queue)

## Next Steps
For security configuration, see `groq-security-basics`.

---
Source attribution: Dicklesworthstone
Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/plugins-community/plugins/saas-packs/groq-pack/skills/groq-rate-limits/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License (with OpenAI/Anthropic Rider)

Copyright (c) 2026 Jeffrey Emanuel

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

ADDITIONAL RIDER / RESTRICTION (OpenAI / Anthropic):

This rider is part of the "conditions" of this License. In the event of any
conflict between this rider and any other portion of this License, this rider
controls.

"Restricted Parties" means OpenAI, L.L.C.; Anthropic, PBC; any of their
respective Affiliates; and any person or entity acting directly or indirectly
on behalf of, for the benefit of, or under the direction of any of the
foregoing (including any officer, director, employee, contractor, agent,
consultant, service provider, or representative).

Notwithstanding any other provision of this License, no rights are granted to
any Restricted Party. Any purported license, sublicense, assignment, transfer,
or other permission to any Restricted Party is null and void absent the
express prior written permission of Jeffrey Emanuel.

You may not provide, disclose, distribute, sublicense, sell, lease, lend,
host, make available, or otherwise permit access to the Software or any
derivative work of the Software (as defined in applicable copyright law)
(collectively, "Derivative Works") to or for any Restricted Party.

For purposes of this rider, "use" includes, without limitation: copying,
modifying, merging, publishing, distributing, sublicensing, selling,
transferring, making available, hosting, deploying, executing, benchmarking,
testing, analyzing, indexing, or incorporating the Software or any Derivative
Works into any dataset, training corpus, evaluation harness, or pipeline for
machine learning or other automated systems.

This rider applies to the Software and all Derivative Works. As a condition of
use, you agree that this rider is a precondition to exercising any rights
under this License, and you agree that any distribution of the Software or any
Derivative Works must include this rider provision unmodified.

Any breach of this rider automatically and immediately terminates the
permissions granted by this License. Upon termination, you must immediately
cease all use and distribution of the Software and any Derivative Works and
destroy all copies under your control.

You agree that a breach of this rider would cause irreparable harm and that
Jeffrey Emanuel may seek injunctive or other equitable relief to enforce this
rider, in addition to any other remedies available at law. To the maximum
extent permitted by applicable law, the prevailing party in any action to
enforce this rider shall be entitled to recover reasonable attorneys' fees and
costs.

For purposes of this rider, "Affiliate" means any entity that directly or
indirectly controls, is controlled by, or is under common control with the
specified party. "Control" means ownership of more than 50% of the voting
securities or other ownership interest, or the power to direct management or
policies by contract or otherwise.

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: Dicklesworthstone
Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/plugins-community/plugins/saas-packs/groq-pack/skills/groq-rate-limits/SKILL.md
Attribution basis: Source repository record

Fields of work: Development & Engineering
Roles: Backend Developer, Data Engineer, ML / AI Engineer
Specialties: API, Backend
Tools: Groq Sdk
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 66601ea4552c8e7fec65e8b97fd17d067a2a6206778bcd7a7b2306d7259d6333