assemblyai-rate-limits
Implement AssemblyAI rate limiting, backoff, and queue-based throttling. Use when handling rate limit errors, implementing retry logic, or managing concurrent transcription throughput. Trigger with phrases like "assemblyai rate limit", "assemblyai throttling", "assemblyai 429", "assemblyai retry", "assemblyai backoff".
Best use case
assemblyai-rate-limits is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Implement AssemblyAI rate limiting, backoff, and queue-based throttling. Use when handling rate limit errors, implementing retry logic, or managing concurrent transcription throughput. Trigger with phrases like "assemblyai rate limit", "assemblyai throttling", "assemblyai 429", "assemblyai retry", "assemblyai backoff".
Teams using assemblyai-rate-limits should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/assemblyai-rate-limits/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How assemblyai-rate-limits Compares
| Feature / Agent | assemblyai-rate-limits | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Implement AssemblyAI rate limiting, backoff, and queue-based throttling. Use when handling rate limit errors, implementing retry logic, or managing concurrent transcription throughput. Trigger with phrases like "assemblyai rate limit", "assemblyai throttling", "assemblyai 429", "assemblyai retry", "assemblyai backoff".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
Best AI Skills for Claude
Explore the best AI skills for Claude and Claude Code across coding, research, workflow automation, documentation, and agent operations.
ChatGPT vs Claude for Agent Skills
Compare ChatGPT and Claude for AI agent skills across coding, writing, research, and reusable workflow execution.
SKILL.md Source
# AssemblyAI Rate Limits
## Overview
Handle AssemblyAI rate limits with exponential backoff, queue-based throttling, and concurrency management. AssemblyAI auto-scales limits for paid users.
## Prerequisites
- `assemblyai` package installed
- Understanding of async/await patterns
## Rate Limit Tiers (Actual)
### Async Transcription API
| Endpoint | Free | Pay-as-you-go |
|----------|------|---------------|
| `POST /v2/transcript` | 5/min | Scales with usage |
| `GET /v2/transcript/:id` | No hard limit | No hard limit |
| `POST /v2/upload` | 5/min | Scales with usage |
### Streaming (WebSocket)
| Metric | Free | Pay-as-you-go |
|--------|------|---------------|
| New streams/min | 5 | 100 (auto-scales) |
| Concurrent streams | ~5 | Unlimited (auto-scales 10% every 60s at 70% usage) |
### LeMUR
| Metric | Free | Paid |
|--------|------|------|
| Requests/min | Limited | Scales with usage |
| Max audio input | 100 hours per request | 100 hours per request |
**Note:** AssemblyAI auto-scales paid limits. At 70%+ utilization, the new session rate limit increases by 10% every 60 seconds with no ceiling cap.
## Instructions
### Step 1: Exponential Backoff with Jitter
```typescript
import { AssemblyAI, type Transcript } from 'assemblyai';
const client = new AssemblyAI({
apiKey: process.env.ASSEMBLYAI_API_KEY!,
});
async function transcribeWithBackoff(
audioUrl: string,
options: Record<string, any> = {},
config = { maxRetries: 5, baseDelayMs: 1000, maxDelayMs: 30000 }
): Promise<Transcript> {
for (let attempt = 0; attempt <= config.maxRetries; attempt++) {
try {
return await client.transcripts.transcribe({
audio: audioUrl,
...options,
});
} catch (err: any) {
if (attempt === config.maxRetries) throw err;
const status = err.status ?? err.statusCode;
// Only retry on 429 (rate limit) and 5xx (server errors)
if (status && status !== 429 && (status < 500 || status >= 600)) throw err;
const exponentialDelay = config.baseDelayMs * Math.pow(2, attempt);
const jitter = Math.random() * config.baseDelayMs;
const delay = Math.min(exponentialDelay + jitter, config.maxDelayMs);
console.warn(`[${attempt + 1}/${config.maxRetries}] Retrying in ${delay.toFixed(0)}ms...`);
await new Promise(r => setTimeout(r, delay));
}
}
throw new Error('Unreachable');
}
```
### Step 2: Queue-Based Concurrency Control
```typescript
import PQueue from 'p-queue';
// Limit to N concurrent transcription jobs
const transcriptionQueue = new PQueue({
concurrency: 5, // Max 5 concurrent jobs
interval: 60_000, // Per minute window
intervalCap: 50, // Max 50 new jobs per minute
});
async function queuedTranscribe(audioUrl: string): Promise<Transcript> {
return transcriptionQueue.add(() =>
transcribeWithBackoff(audioUrl)
);
}
// Process a batch of files
const audioUrls = [
'https://example.com/audio1.mp3',
'https://example.com/audio2.mp3',
'https://example.com/audio3.mp3',
];
const results = await Promise.all(
audioUrls.map(url => queuedTranscribe(url))
);
console.log(`Completed ${results.length} transcriptions`);
console.log(`Queue size: ${transcriptionQueue.size}, pending: ${transcriptionQueue.pending}`);
```
### Step 3: Batch Processing with Progress
```typescript
async function batchTranscribe(
audioUrls: string[],
onProgress?: (completed: number, total: number) => void
): Promise<Transcript[]> {
const queue = new PQueue({ concurrency: 5 });
const results: Transcript[] = [];
let completed = 0;
const promises = audioUrls.map(url =>
queue.add(async () => {
const transcript = await transcribeWithBackoff(url);
completed++;
onProgress?.(completed, audioUrls.length);
return transcript;
})
);
return Promise.all(promises);
}
// Usage
await batchTranscribe(
urls,
(done, total) => console.log(`Progress: ${done}/${total}`)
);
```
### Step 4: Streaming Rate Limit Handling
```typescript
async function connectStreamingWithRetry(maxRetries = 3) {
for (let attempt = 0; attempt <= maxRetries; attempt++) {
try {
const transcriber = client.streaming.createService({
speech_model: 'nova-3',
sample_rate: 16000,
});
transcriber.on('error', (error) => {
console.error('Streaming error:', error);
});
await transcriber.connect();
return transcriber;
} catch (err: any) {
if (attempt === maxRetries) throw err;
// WebSocket code 4008 = session limit
const delay = Math.pow(2, attempt) * 2000;
console.warn(`Stream connect failed. Retrying in ${delay}ms...`);
await new Promise(r => setTimeout(r, delay));
}
}
}
```
## Output
- Automatic retry with exponential backoff and jitter
- Queue-based concurrency control with p-queue
- Batch transcription with progress reporting
- Streaming reconnection logic
## Error Handling
| Scenario | Status | Strategy |
|----------|--------|----------|
| Rate limited (async) | 429 | Exponential backoff, honor `Retry-After` header |
| Server error | 500-503 | Retry with backoff |
| Session limit (streaming) | WS 4008 | Wait and reconnect |
| Auth error | 401 | Do not retry, fix credentials |
| Invalid input | 400 | Do not retry, fix request |
## Resources
- [AssemblyAI Rate Limits](https://www.assemblyai.com/docs/deployment/account-management)
- [p-queue Documentation](https://github.com/sindresorhus/p-queue)
- [AssemblyAI Streaming Limits](https://www.assemblyai.com/docs/streaming)
## Next Steps
For security configuration, see `assemblyai-security-basics`.Related Skills
workhuman-rate-limits
Workhuman rate limits for employee recognition and rewards API. Use when integrating Workhuman Social Recognition, or building recognition workflows with HRIS systems. Trigger: "workhuman rate limits".
wispr-rate-limits
Wispr Flow rate limits for voice-to-text API integration. Use when integrating Wispr Flow dictation, WebSocket streaming, or building voice-powered applications. Trigger: "wispr rate limits".
windsurf-rate-limits
Understand and manage Windsurf credit system, usage limits, and model selection. Use when running out of credits, optimizing AI usage costs, or understanding the credit-per-model pricing structure. Trigger with phrases like "windsurf credits", "windsurf rate limit", "windsurf usage", "windsurf out of credits", "windsurf model costs".
webflow-rate-limits
Handle Webflow Data API v2 rate limits — per-key limits, Retry-After headers, exponential backoff, request queuing, and bulk endpoint optimization. Use when hitting 429 errors, implementing retry logic, or optimizing API request throughput. Trigger with phrases like "webflow rate limit", "webflow throttling", "webflow 429", "webflow retry", "webflow backoff", "webflow too many requests".
vercel-rate-limits
Handle Vercel API rate limits, implement retry logic, and configure WAF rate limiting. Use when hitting 429 errors, implementing retry logic, or setting up rate limiting for your Vercel-deployed API endpoints. Trigger with phrases like "vercel rate limit", "vercel throttling", "vercel 429", "vercel retry", "vercel backoff", "vercel WAF rate limit".
veeva-rate-limits
Veeva Vault rate limits for REST API and clinical operations. Use when working with Veeva Vault document management and CRM. Trigger: "veeva rate limits".
vastai-rate-limits
Handle Vast.ai API rate limits with backoff and request optimization. Use when encountering 429 errors, implementing retry logic, or optimizing API request throughput. Trigger with phrases like "vastai rate limit", "vastai throttling", "vastai 429", "vastai retry", "vastai backoff".
twinmind-rate-limits
Implement TwinMind rate limiting, backoff, and optimization patterns. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for TwinMind. Trigger with phrases like "twinmind rate limit", "twinmind throttling", "twinmind 429", "twinmind retry", "twinmind backoff".
together-rate-limits
Together AI rate limits for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together rate limits".
techsmith-rate-limits
TechSmith rate limits for Snagit COM API and Camtasia automation. Use when working with TechSmith screen capture and video editing automation. Trigger: "techsmith rate limits".
supabase-rate-limits
Manage Supabase rate limits and quotas across all plan tiers. Use when hitting 429 errors, configuring connection pooling, optimizing API throughput, or understanding tier-specific quotas for Auth, Storage, Realtime, and Edge Functions. Trigger: "supabase rate limit", "supabase 429", "supabase throttle", "supabase quota", "supabase connection pool", "supabase too many requests".
stackblitz-rate-limits
WebContainer resource limits: memory, CPU, file system size, process count. Use when working with WebContainers or StackBlitz SDK. Trigger: "webcontainer limits".