Imported from jeremylongshore/tons-of-skills-marketplace (skills/.curated/elevenlabs-sdk-patterns/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill elevenlabs-sdk-patterns. Copyright stays with the author (MIT).

ElevenLabs SDK Patterns

Overview

Production-ready patterns for the ElevenLabs TypeScript and Python SDKs. Covers singleton clients, type-safe TTS wrappers, error classification, retry with a concurrency queue, and multi-tenant client factories. Adopt them incrementally — the singleton client alone fixes the most common mistakes; add error classification and the queue as throughput grows.

The full, copy-ready code for all six patterns lives in references/implementation.md. This file gives the high-level workflow plus the essential skeleton so you can follow it end to end, then drill into the reference for depth.

Prerequisites

• @elevenlabs/elevenlabs-js installed (TypeScript) or elevenlabs (Python)
• ELEVENLABS_API_KEY exported in the environment (never hardcode the key)
• Familiarity with async/await patterns and error handling best practices

Instructions

Apply the patterns in order — each builds on the previous one:

1. Singleton client. Create one lazily-initialized ElevenLabsClient guarded by an ELEVENLABS_API_KEY check so misconfiguration fails fast at startup. Expose a resetClient() for tests. This is the skeleton every other pattern imports:

   let instance: ElevenLabsClient | null = null;
   export function getClient(): ElevenLabsClient {
     if (!instance) {
       if (!process.env.ELEVENLABS_API_KEY) {
         throw new Error("ELEVENLABS_API_KEY environment variable is required");
       }
       instance = new ElevenLabsClient({
         apiKey: process.env.ELEVENLABS_API_KEY,
         maxRetries: 3,
         timeoutInSeconds: 60,
       });
     }
     return instance;
   }

2. Type-safe TTS service. Wrap textToSpeech.convert behind a typed TTSOptions interface and named VoicePreset records (narration / conversational / dramatic / neutral) so voice settings are compile-time checked and consistent across the codebase.

3. Error classification. Map raw SDK errors to an ElevenLabsServiceError carrying a stable code (auth_failed, quota_exceeded, rate_limited, concurrent_limit, voice_not_found, invalid_request, server_error, network_error) and a retryable flag driven by HTTP status.

4. Retry with a concurrency queue. Route calls through a p-queue sized to your plan's concurrent-request limit, retrying only retryable errors with exponential backoff + jitter.

5. Multi-tenant factory. For SaaS platforms, key one client per tenant in a Map so each customer's API key stays isolated.

6. Python async. Mirror the singleton + streaming-to-file pattern with AsyncElevenLabsClient for non-blocking Python backends.

See references/implementation.md for the complete code for every step above.

Output

Applying these patterns produces a small set of focused SDK modules in the target project:

• src/elevenlabs/client.ts — singleton client with config + resetClient()
• src/elevenlabs/tts-service.ts — typed generateSpeech() / generateToFile() with voice presets
• src/elevenlabs/errors.ts — ElevenLabsServiceError + classifyError()
• src/elevenlabs/queue.ts — queuedRequest() with backoff and plan-aware concurrency
• src/elevenlabs/multi-tenant.ts — per-tenant client factory (SaaS only)
• elevenlabs_service.py — async singleton + streaming generator (Python backends)

TTS calls return an audio stream you pipe to a file or HTTP response; mp3_44100_128 is the default output format.

Error Handling

Only retryable codes (rate_limited, concurrent_limit, server_error, network_error) are retried; auth_failed, quota_exceeded, voice_not_found, and invalid_request throw immediately so callers surface a real problem instead of looping.

Examples

Generate speech to a file (TypeScript):

import { generateToFile } from "./elevenlabs/tts-service";

await generateToFile(
  { voiceId: "21m00Tcm4TlvDq8ikWAM", text: "Welcome aboard.", preset: "narration" },
  "welcome.mp3"
);

Wrap a call in the retry queue:

import { queuedRequest } from "./elevenlabs/queue";
import { generateSpeech } from "./elevenlabs/tts-service";

const audio = await queuedRequest(() =>
  generateSpeech({ voiceId: "21m00Tcm4TlvDq8ikWAM", text: "High-throughput job." })
);

Full runnable examples — including the Python async path and multi-tenant usage — are in references/implementation.md.

Resources

• ElevenLabs JS SDK Source
• ElevenLabs Python SDK
• p-queue (Concurrency)
• Full implementation walkthrough

Next Steps

Apply these patterns in elevenlabs-core-workflow-a for TTS generation, or see elevenlabs-rate-limits for advanced throttling and plan-aware concurrency tuning.