Agent skill

Deepgram Rate Limits

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Implement Deepgram rate limiting and backoff strategies. An agent skill from jeremylongshore/tons-of-skills-marketplace.

MITAuto-check passedBackend & APIs

Install Deepgram Rate Limits

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-rate-limits -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace deepgram-rate-limits --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/deepgram-rate-limits .claude/skills/deepgram-rate-limits && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
deepgram-rate-limits
GitHub stars
2.8k
Token cost
~2.3k tokens
SKILL.md length
285 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Implement Deepgram rate limiting and backoff strategies. An agent skill from jeremylongshore/tons-of-skills-marketplace.

  • Works in 5 steps: Concurrency-Aware Queue → Exponential Backoff with Jitter → Circuit Breaker → …
  • Handling API quotas
  • SKILL.md covers Prerequisites, Examples, Overview and Deepgram Rate Limit Model, plus 4 more sections
  • Needs DEEPGRAM_API_KEY

What it does

Deepgram Rate Limits is an agent skill from jeremylongshore/tons-of-skills-marketplace. 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".

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/implementation.md`). Compatibility notes: Designed for Claude Code

It sits in Backend & APIs, covering Rate limiting. It works with Deepgram. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Handling API quotas
  • Implementing request throttling
  • Dealing with 429 rate limit errors

Example prompts

  • “deepgram rate limit”
  • “deepgram throttling”
  • “429 error deepgram”
  • “/deepgram-rate-limits”

Requirements

  • A credential in DEEPGRAM_API_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Grep

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Concurrency-Aware Queue
  2. Exponential Backoff with Jitter
  3. Circuit Breaker
  4. Combined Rate Limiter + Circuit Breaker
  5. Usage Monitoring

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • developers.deepgram.com
    • deepgram.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • DEEPGRAM_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Deepgram Rate Limits loads about 2.3k tokens when it runs, and up to ~3.8k if it reads all its reference files. Until then it costs about 80 tokens; SKILL.md has 285 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~80
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 285 words, ~2,276 tokens.

Download SKILL.mdSave it as .claude/skills/deepgram-rate-limits/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
deepgram-rate-limits
description
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".
allowed-tools
Read, Write, Edit, Grep
compatibility
Designed for Claude Code
version
1.13.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, deepgram, api, rate-limiting

Deepgram Rate Limits

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:

PlanConcurrent Requests (STT)Concurrent Connections (Live)Concurrent Requests (TTS)
Pay As You Go100100100
Growth200200200
EnterpriseCustomCustomCustom

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

IssueCauseResolution
429 Too Many RequestsConcurrency limit exceededLower maxConcurrent, implement backoff
Circuit breaker OPEN5+ consecutive failuresWait for reset, check status.deepgram.com
Queue growing unboundedSustained high loadIncrease plan limits or scale horizontally
Usage API returns emptyWrong project IDVerify project ID from getProjects()

Resources

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/deepgram-rate-limits of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/implementation.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

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Works with

Categories

Questions about Deepgram Rate Limits

What does Deepgram Rate Limits do?

Implement Deepgram rate limiting and backoff strategies. An agent skill from jeremylongshore/tons-of-skills-marketplace. Deepgram Rate Limits is an agent skill from jeremylongshore/tons-of-skills-marketplace. Implement Deepgram rate limiting and backoff strategies.

When should I use Deepgram Rate Limits?

Deepgram Rate Limits fits situations like: handling API quotas; implementing request throttling; dealing with 429 rate limit errors.

How do I install Deepgram Rate Limits in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-rate-limits -a claude-code`. Or copy the skill folder (skills/.curated/deepgram-rate-limits in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/deepgram-rate-limits in your project. Claude Code loads it when a task matches its description.

How do I install Deepgram Rate Limits in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-rate-limits -a codex`. Or copy the skill folder (skills/.curated/deepgram-rate-limits in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/deepgram-rate-limits in your project. Codex loads it when a task matches its description.

Can I use Deepgram Rate Limits in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-rate-limits -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deepgram-rate-limits, .gemini/skills/deepgram-rate-limits, .github/skills/deepgram-rate-limits and .opencode/skills/deepgram-rate-limits in your project.

What does Deepgram Rate Limits need to run?

Going by SKILL.md and its folder, Deepgram Rate Limits needs credentials named DEEPGRAM_API_KEY. Our summary lists: A credential in DEEPGRAM_API_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep. Compatibility (from SKILL.md): Designed for Claude Code.

Does Deepgram Rate Limits access the network?

SKILL.md names 2 domains. As links in the text: developers.deepgram.com and deepgram.com. This is read from the text; nothing was executed.

Is Deepgram Rate Limits safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Deepgram Rate Limits use?

Deepgram Rate Limits is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Deepgram Rate Limits use?

About 2.3k tokens (SKILL.md is roughly 9.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.5k tokens, read only when the agent opens those files.

What are the alternatives to Deepgram Rate Limits?

Skills that share tags, products or a category with Deepgram Rate Limits: Add Hosted Key (simstudioai/sim, 30k stars), Upstash Ratelimit TS (upstash/ratelimit-js, 2k stars), Repo2skill (zhangyanxs/repo2skill, 246 stars) and Better Auth Security Best Practices (EpicenterHQ/epicenter, 4.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deepgram Rate Limits?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.