Deepgram Rate Limits
SkillDev tools'Implement Deepgram rate limiting and backoff strategies.
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Details
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What this skill tells your AI
The instructions your AI receives, as published by jeremylongshore/tons-of-skills-marketplace in skills/.curated/deepgram-rate-limits/SKILL.md and read by Ahel’s review.
Prerequisites
- Current provider-limit knowledge, measured baseline, concurrency budget, and stable request/job identifiers.
- Synthetic audio fixtures and alerts for throttling, queue age, failures, and duplicate processing.
Examples
Run a development load test using short non-sensitive fixtures, increment concurrency gradually, and record aggregate latency, 429s, and completion rate. Apply exponential backoff with jitter and preserve the request ID; reduce load on throttling instead of immediate bulk retries or sending customer recordings as test traffic.
Overview
Implement rate limiting, exponential backoff, and circuit breaker patterns for Deepgram API. Deepgram limits by concurrent connections (not requests per second). Understanding this model is key to building reliable integrations.
Deepgram Rate Limit Model
Deepgram uses concurrency-based limits, not traditional requests-per-minute:
| Plan | Concurrent Requests (STT) | Concurrent Connections (Live) | Concurrent Requests (TTS) |
|---|---|---|---|
| Pay As You Go | 100 | 100 | 100 |
| Growth | 200 | 200 | 200 |
| Enterprise | Custom | Custom | Custom |
When you exceed your concurrency limit, Deepgram returns 429 Too Many Requests.
Key insight: You can send unlimited total requests — just not more than your concurrency limit simultaneously.
Instructions
Step 1: Concurrency-Aware Queue
import pLimit from 'p-limit';
import { createClient } from '@deepgram/sdk';
class DeepgramRateLimiter {
private limit: ReturnType<typeof pLimit>;
private client: ReturnType<typeof createClient>;
private stats = { total: 0, active: 0, queued: 0, errors: 0 };
constructor(apiKey: string, maxConcurrent = 50) {
// Stay well under plan limit (e.g., 50 of 100 allowed)
this.limit = pLimit(maxConcurrent);
this.client = createClient(apiKey);
}
async transcribe(source: { url: string }, options: Record<string, any>) {
this.stats.queued++;
return this.limit(async () => {
this.stats.queued--;
this.stats.active++;
this.stats.total++;
try {
const { result, error } = await this.client.listen.prerecorded.transcribeUrl(
source, options
);
if (error) {
this.stats.errors++;
throw error;
}
return result;
} catch (err) {
this.stats.errors++;
throw err;
} finally {
this.stats.active--;
}
});
}
getStats() { return { ...this.stats }; }
}
// Usage:
const limiter = new DeepgramRateLimiter(process.env.DEEPGRAM_API_KEY!, 50);
const urls = ['audio1.wav', 'audio2.wav', /* ...hundreds more */];
const results = await Promise.allSettled(
urls.map(url => limiter.transcribe({ url }, { model: 'nova-3', smart_format: true }))
);
Step 2: Exponential Backoff with Jitter
class RetryableDeepgramClient {
private client: ReturnType<typeof createClient>;
constructor(apiKey: string) {
this.client = createClient(apiKey);
}
async transcribeWithRetry(
source: any,
options: any,
config = { maxRetries: 5, baseDelay: 1000, maxDelay: 60000 }
) {
let lastError: Error | null = null;
for (let attempt = 0; attempt <= config.maxRetries; attempt++) {
try {
const { result, error } = await this.client.listen.prerecorded.transcribeUrl(
source, options
);
if (!error) return result;
// Non-retryable errors (4xx except 429, 408)
const status = (error as any).status;
if (status >= 400 && status < 500 && status !== 429 && status !== 408) {
throw new Error(`Non-retryable error ${status}: ${error.message}`);
}
lastError = error;
} catch (err: any) {
if (err.message.startsWith('Non-retryable')) throw err;
lastError = err;
}
if (attempt < config.maxRetries) {
// Exponential backoff: 1s, 2s, 4s, 8s, 16s + random jitter
const delay = Math.min(
config.baseDelay * Math.pow(2, attempt) + Math.random() * 1000,
config.maxDelay
);
console.log(`Retry ${attempt + 1}/${config.maxRetries} in ${Math.round(delay)}ms`);
await new Promise(r => setTimeout(r, delay));
}
}
throw lastError ?? new Error('Max retries exceeded');
}
}
Step 3: Circuit Breaker
enum CircuitState { CLOSED, OPEN, HALF_OPEN }
class DeepgramCircuitBreaker {
private state = CircuitState.CLOSED;
private failureCount = 0;
private lastFailureTime = 0;
private successCount = 0;
constructor(
private failureThreshold = 5,
private resetTimeout = 30000, // 30 seconds
private halfOpenMaxRequests = 3,
) {}
async execute<T>(fn: () => Promise<T>): Promise<T> {
if (this.state === CircuitState.OPEN) {
if (Date.now() - this.lastFailureTime >= this.resetTimeout) {
this.state = CircuitState.HALF_OPEN;
this.successCount = 0;
} else {
throw new Error(`Circuit OPEN — retry in ${
Math.ceil((this.resetTimeout - (Date.now() - this.lastFailureTime)) / 1000)
}s`);
}
}
try {
const result = await fn();
this.onSuccess();
return result;
} catch (err) {
this.onFailure();
throw err;
}
}
private onSuccess() {
if (this.state === CircuitState.HALF_OPEN) {
this.successCount++;
if (this.successCount >= this.halfOpenMaxRequests) {
this.state = CircuitState.CLOSED;
this.failureCount = 0;
}
} else {
this.failureCount = 0;
}
}
private onFailure() {
this.failureCount++;
this.lastFailureTime = Date.now();
if (this.failureCount >= this.failureThreshold) {
this.state = CircuitState.OPEN;
console.error(`Circuit OPEN after ${this.failureCount} failures`);
}
}
getState() { return CircuitState[this.state]; }
}
Step 4: Combined Rate Limiter + Circuit Breaker
class ResilientDeepgramClient {
private limiter: DeepgramRateLimiter;
private breaker: DeepgramCircuitBreaker;
private retryClient: RetryableDeepgramClient;
constructor(apiKey: string, maxConcurrent = 50) {
this.limiter = new DeepgramRateLimiter(apiKey, maxConcurrent);
this.breaker = new DeepgramCircuitBreaker();
this.retryClient = new RetryableDeepgramClient(apiKey);
}
async transcribe(audioUrl: string, options: Record<string, any> = {}) {
return this.breaker.execute(() =>
this.retryClient.transcribeWithRetry(
{ url: audioUrl },
{ model: 'nova-3', smart_format: true, ...options }
)
);
}
}
// Production usage
const client = new ResilientDeepgramClient(process.env.DEEPGRAM_API_KEY!, 50);
const result = await client.transcribe('https://example.com/audio.wav');
Step 5: Usage Monitoring
// Query Deepgram's usage API to track consumption
async function checkUsage(client: ReturnType<typeof createClient>, projectId: string) {
const { result } = await client.manage.getUsage(projectId, {
start: new Date(Date.now() - 86400000).toISOString(), // Last 24 hours
end: new Date().toISOString(),
});
const totalMinutes = (result as any).results?.reduce(
(sum: number, r: any) => sum + (r.hours * 60 + r.minutes), 0
) ?? 0;
console.log(`Last 24h usage: ${totalMinutes.toFixed(1)} minutes`);
return totalMinutes;
}
Output
- Concurrency-aware request queue with
p-limit - Exponential backoff with jitter for 429/5xx errors
- Circuit breaker (CLOSED -> OPEN -> HALF_OPEN)
- Combined resilient client pattern
- Usage monitoring via Deepgram API
Error Handling
| Issue | Cause | Resolution |
|---|---|---|
| 429 Too Many Requests | Concurrency limit exceeded | Lower maxConcurrent, implement backoff |
| Circuit breaker OPEN | 5+ consecutive failures | Wait for reset, check status.deepgram.com |
| Queue growing unbounded | Sustained high load | Increase plan limits or scale horizontally |
| Usage API returns empty | Wrong project ID | Verify project ID from getProjects() |
Resources
Signals
- GitHub stars
- 3k
- Forks
- 415
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
deepgram-rate-limits- Source
- github.com/jeremylongshore/tons-of-skills-marketplace
github.com/jeremylongshore/tons-of-skills-marketplace
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