deepgram-rate-limits
Implement Deepgram rate limiting and backoff strategies. Use when handling API quotas, implementing request throttling, or dealing with 429 rate limit errors. Trigger: "deepgram rate limit", "deepgram throttling", "429 error deepgram", "deepgram quota", "deepgram backoff", "deepgram concurrency".
What this skill does
# Deepgram Rate Limits
## 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
```typescript
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
```typescript
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
```typescript
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
```typescript
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
```typescript
// 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
- [Concurrency Rate Limits](https://developers.deepgram.com/docs/working-with-concurrency-rate-limits)
- [API Rate Limits](https://developers.deepgram.com/reference/api-rate-limits)
- [Backoff Strategies](https://deepgram.com/learn/api-back-off-strategies)
- Usage API
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.