elevenlabs-deploy-integration

Deploy ElevenLabs TTS applications to Vercel, Fly.io, and Cloud Run. Use when deploying ElevenLabs-powered apps to production, configuring platform-specific secrets, or setting up serverless TTS. Trigger with "deploy elevenlabs", "elevenlabs Vercel", "elevenlabs Cloud Run", "elevenlabs Fly.io", "elevenlabs serverless", "host TTS API".

Jump to install

Repository: jeremylongshore/tons-of-skills-marketplace
Last source activity: July 18, 2026 at 00:29
Detected SKILL.md language: English
Stars: 2,677
Forks: 392

Install options

The review-first prompt is selected by default. You can switch to a direct command or download a local copy.

Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.

A direct command skips the review prompt. Inspect the source before running it.

npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill elevenlabs-deploy-integration

The command stays on one line. Scroll horizontally to inspect it before copying.

Prefer a local copy? Download the files currently available to SkillsMP.

Review the source files

Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.

File Explorer

3 files

SKILL.md

Source instructions · Read-only preview

Back to search Back to installation

langchain-deploy-integration

Deploy a LangChain 1.0 / LangGraph 1.0 app to Cloud Run, Vercel, or LangServe correctly — with timeouts sized for chain length, cold-start mitigation, SSE anti-buffering headers, and Secret Manager over .env. Use when prepping a first production deploy, debugging a stream that hangs behind a proxy, or diagnosing p99 latency spikes. Trigger with "langchain deploy", "langchain cloud run", "langchain vercel python", "langchain langserve", or "langchain docker".

2026-08-26

langchain-langgraph-agents

Build a correct LangGraph 1.0 ReAct agent with create_react_agent — typed tools, error propagation, recursion caps, and stop conditions that actually stop. Use when writing a first tool-calling agent, migrating from AgentExecutor or initialize_agent, or diagnosing an agent that loops on vague prompts. Trigger with "langgraph agent", "create_react_agent", "langgraph tool calling", "AgentExecutor migration", or "agent loop cost".

2026-08-26

langchain-langgraph-human-in-loop

Build LangGraph 1.0 human-in-the-loop approval flows with interrupt_before / interrupt_after and Command(resume=...) — JSON-serializable state, clean resume semantics, and UI wiring for approval decisions. Use when adding an approval gate before an expensive tool call, wiring a Slack/web UI for agent approvals, or debugging a graph that crashes on interrupt. Trigger with "langgraph human in loop", "langgraph interrupt_before", "langgraph approval flow", "Command resume", "langgraph HITL".

2026-08-26

View all from this repository

ElevenLabs Deploy Integration

Overview

Deploy ElevenLabs TTS/voice applications to Vercel (serverless), Fly.io (containers), or Google Cloud Run with proper secrets management, timeout configuration, and streaming support. Pick the platform that matches your traffic shape, write the platform config + server code, store the API key as a platform secret, then deploy and smoke-test the live endpoint.

Prerequisites

ElevenLabs API key for production

Platform CLI installed (vercel, fly, or gcloud)

Application code tested locally

Instructions

Follow these steps. The lean skeleton is below; the full config files and server code for each platform are in references/implementation.md.

Inspect the repo and pick a platform. Read the existing app code and any current deploy config, then choose from the comparison table below — Vercel for a simple stateless TTS API, Fly.io for streaming/WebSocket, Cloud Run for bursty variable load.

Write the platform config + server code. Use Write/Edit to create the platform files in the repo — vercel.json + the API route for Vercel, fly.toml + Express server for Fly.io, Dockerfile for Cloud Run. Full versions are in references/implementation.md.

Set the API key as a platform secret (never commit it):

vercel env add ELEVENLABS_API_KEY production   # Vercel
fly secrets set ELEVENLABS_API_KEY=sk_...       # Fly.io
echo -n "sk_..." | gcloud secrets create elevenlabs-api-key --data-file=-  # Cloud Run

Mind the timeout. Vercel Hobby caps functions at 10s (30s on Pro) — use the eleven_flash_v2_5 model to stay under it. Fly.io and Cloud Run have no such short cap.

ElevenLabs Deploy Integration

Overview

Prerequisites

ElevenLabs API key for production

Platform CLI installed (vercel, fly, or gcloud)

Application code tested locally

Instructions

Follow these steps. The lean skeleton is below; the full config files and server code for each platform are in references/implementation.md.

Set the API key as a platform secret (never commit it):

vercel env add ELEVENLABS_API_KEY production   # Vercel
fly secrets set ELEVENLABS_API_KEY=sk_...       # Fly.io
echo -n "sk_..." | gcloud secrets create elevenlabs-api-key --data-file=-  # Cloud Run

Mind the timeout. Vercel Hobby caps functions at 10s (30s on Pro) — use the eleven_flash_v2_5 model to stay under it. Fly.io and Cloud Run have no such short cap.

name	elevenlabs-deploy-integration
description	Deploy ElevenLabs TTS applications to Vercel, Fly.io, and Cloud Run. Use when deploying ElevenLabs-powered apps to production, configuring platform-specific secrets, or setting up serverless TTS. Trigger with "deploy elevenlabs", "elevenlabs Vercel", "elevenlabs Cloud Run", "elevenlabs Fly.io", "elevenlabs serverless", "host TTS API".
allowed-tools	Read, Write, Edit, Bash(vercel:), Bash(fly:), Bash(gcloud:*)
version	1.6.0
license	MIT
author	Jeremy Longshore <jeremy@intentsolutions.io>
tags	["saas","voice","ai","elevenlabs","deployment","serverless"]
compatibility	Designed for Claude Code

name	elevenlabs-deploy-integration
description	Deploy ElevenLabs TTS applications to Vercel, Fly.io, and Cloud Run. Use when deploying ElevenLabs-powered apps to production, configuring platform-specific secrets, or setting up serverless TTS. Trigger with "deploy elevenlabs", "elevenlabs Vercel", "elevenlabs Cloud Run", "elevenlabs Fly.io", "elevenlabs serverless", "host TTS API".
allowed-tools	Read, Write, Edit, Bash(vercel:), Bash(fly:), Bash(gcloud:*)
version	1.6.0
license	MIT
author	Jeremy Longshore <jeremy@intentsolutions.io>
tags	["saas","voice","ai","elevenlabs","deployment","serverless"]
compatibility	Designed for Claude Code

Feature	Vercel	Fly.io	Cloud Run
Max timeout	30s (Pro)	No limit	60min
WebSocket streaming	Limited	Full support	Full support
Cold start	~1-3s	~0.5-2s	~1-5s
Concurrency	Per-function	Per-VM	Per-instance
Best for	Simple TTS API	Streaming/WebSocket	Variable load
Min cost	Free tier	~$2/mo	Free tier

Issue	Cause	Solution
Vercel timeout	TTS > 10s on Hobby	Upgrade to Pro (30s) or use Flash model
Cold start slow	Container initialization	Set `min_instances=1` (Cloud Run) or `min_machines=1` (Fly)
Secret not found	Missing platform config	Add via platform CLI
Streaming broken	Proxy buffering	Disable response buffering in nginx/CDN
CORS errors	Missing headers	Add `Access-Control-Allow-Origin` to TTS endpoint

elevenlabs-deploy-integration

Install options

Review the source files