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deepgram-rate-limits

A model-agnostic agent-skills platform.

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项目 README

来源文件:README.md

抓取于 2026年8月29日

Tons of Skills

A model-agnostic agent-skills platform. The canonical layer is harness-free by construction; Claude Code is currently the verified-native harness. Other harnesses remain engineering candidates until their native-path integration is verified; source research alone is never presented as public support.

Release CLI Plugins Skills GitHub Stars skills.sh Sponsor: Kobiton Buy me a monster

ko-fi

Version semantics: the release badge is this marketplace's display version. npm packages, including the ccpi CLI and publishable plugins, retain their own package versions; they are intentionally not expected to equal the display version. The version-surface checker governs the display surfaces without rewriting package semver.

Install

Inside Claude Code, one command installs the whole marketplace:

/plugin marketplace add jeremylongshore/claude-code-plugins

Or use the CLI:

pnpm add -g @intentsolutionsio/ccpi
ccpi install devops-automation-pack

Browse the marketplace · Explore plugins · Download bundles

Killer Skill of the Week — no-ai-slop by Peter Yang

Strip AI slop from any draft — named-pattern edits that keep the writer's real voice

no-ai-slop does two jobs and refuses to fake a third. In Edit mode it makes the minimum effective edit — cutting throat-clearing, weak verbs, and abstract nouns while deliberately preserving the writer's cadence, bluntness, humor, and honest admissions, so a rough draft still sounds like the same person afterward. In Detect mode it names each AI-slop pattern it finds, quotes the offending line, and gives the fix in a few words — and pointedly does NOT score the draft or guess whether an AI wrote it. That restraint is the whole point: AI detectors guess; named patterns are evidence the reader can check. MIT-licensed, single focused skill, actively maintained by Peter Yang.

"AI detectors guess. Named patterns are evidence the user can check." — Peter Yang

Grade: A | Week of July 22, 2026 (W30) | View on GitHub

Previous picks: tonone, mnemos, databricks-pack, kobiton-automate, skyvern, code-cleanup, web-analytics, token-optimizer, executive-assistant-skills, skill-creator, cursor-pack, crypto-portfolio-tracker. See all at tonsofskills.com.

Scale, labeled

Every number below names the cohort it counts and the command that reproduces it — an unlabeled count is how a corpus ends up with five contradictory answers to "how many skills."

CountCohortReproduce with
442catalog plugins (catalog-entry cohort)node scripts/generate-readme-toc.mjs over marketplace.extended.json
3,067marketplace-visible skills (distinct)node -e "import('./scripts/corpus-resolver.mjs').then(m=>console.log(m.resolveCorpus('marketplace-visible').length))"
347agent definitions in pluginsgit ls-files 'plugins/**' | grep '/agents/.*\.md'
19plugin categoriesls -d plugins/*/

📦 Live npm Downloads

Across 396 published packages in the claude-code-plugins namespace. Updated daily by GitHub Actions.

WindowAll packagesEstablished (>30d)
Last 24 hours962962
Last 7 days2,9202,916
Last 30 days12,86812,779

"Established" excludes packages first published within the last 30 days, so a bulk-publish event doesn't dominate the headline.

Top 10 by last 30 days:

#PackageLast 30d
1@intentsolutionsio/openrouter-pack556
2@intentsolutionsio/groq-pack496
3@intentsolutionsio/databricks-pack274
4@intentsolutionsio/clickhouse-pack273
5@intentsolutionsio/wallet-security-auditor263
6@intentsolutionsio/notion-pack258
7@intentsolutionsio/elevenlabs-pack244
8@intentsolutionsio/freshie-inventory-manager214
9@intentsolutionsio/supabase-pack210
10@intentsolutionsio/agency-os204

Last refreshed 2026-08-19T03:03:05.709Z.

Ways in

Five real questions, five doors — each resolves to a live, generated surface, never a hand-maintained list:

Browse by category

The 19 categories below link into the live marketplace. Plugin counts are the catalog-entry cohort — regenerated from marketplace.extended.json by this generator; the catalog itself lives on tonsofskills.com, never in this file (§ 6A of the platform blueprint).

CategoryPlugins
🤖AI & Machine Learning36
🎭AI Agents & Agency10
🔌API Development26
💼Business Tools6
👥Community21
₿Crypto & Web327
💾Database26
🎨Design2
🔧DevOps & Infrastructure36
📚Examples & Templates5
🧩MCP Servers16
📦Packages5
⚡Performance25
✅Productivity30
🎁SaaS Skill Packs106
🔐Security27
✨Skill Enhancers9
🧪Testing28
📁Analytics1

What the classes mean

Four artifact classes live in this repository, distinguished on sight and never blurred — provenance is a truth requirement here, not a UX nicety:

ClassWhat it isHow the reader can tell
Canonical skillFirst-party, harness-free, the source of truthNo .source.json in its plugin directory
Generated adapterA thin, machine-produced harness projectionLives under a generated path with a "generated — do not edit" header
First-party packageAn Intent Solutions distribution (npm, cowork zip)@intentsolutionsio scope, IS-authored license
Upstream mirrorSomebody else's work, hosted mirror-by-default.source.json present — upstream author, license, and pinned commit recorded

Certification

Not yet certified. The certification program (tiers T0–T4 with retained, hash-matched evidence) is a later epic of the platform blueprint; until its report exists, no artifact on this surface claims a tier. This line is rendered from the absence of certification-report.json — honestly, not cosmetically.

Contribute

Start with the contribution guide, then the intake and review standards every submission passes through:

Governance

Provenance

External plugins are hosted mirror-by-default: the contributor's repository stays the source of truth, every mirrored source is pinned in a content lockfile, and upstream credit — author, license, resolved commit — is recorded in the mirror itself. Improvements flow by upstreaming to the author's repository, never by silently editing the mirror. The full decision record is the external-sync model.

License

MIT for the repository scaffolding and first-party tooling; each plugin carries its own license in its manifest, and mirrored plugins keep their upstream license verbatim.

其他

中风险

  • 来源需自行核对维护者身份。
  • 未检测到明显脚本安装指令。
  • 可能需要外部 token、网络权限或第三方服务。
  • 未检测到高风险命令。
  • 扫描发现:2 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/deepgram-rate-limits" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/deepgram-rate-limits" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/deepgram-rate-limits" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/deepgram-rate-limits" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/deepgram-rate-limits" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
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
version: 1.13.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- deepgram
- api
- rate-limiting
compatibility: Designed for Claude Code

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

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

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()

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