MODEL PROMPTS

text-to-speech-multilingual-v2 Prompts — 3 curated examples

Examples for using text-to-speech-multilingual-v2 through RunAPI from agent tools or API calls. Copy a prompt, then use it in Claude Code, Codex, Cursor, Windsurf, or your backend.

MODELS

text-to-speech-multilingual-v2

Modality
Audio
Provider
ElevenLabs
Endpoint
Text To Sound
View model details and pricing →
1. claude mcp add runapi -s user -- npx -y @runapi.ai/mcp
2. Restart Claude Code
3. Paste this prompt: Generate audio: "Hold on, let me think. <break time="1.5s" /> Alright, I've got it. The key to understanding this phenomenon is not in the data itself, but in what the data leaves out."
1. codex plugin install runapi-mcp@agents
2. Restart Codex
3. Paste this prompt: Generate audio: "Hold on, let me think. <break time="1.5s" /> Alright, I've got it. The key to understanding this phenomenon is not in the data itself, but in what the data leaves out."
1. npx @runapi.ai/mcp init cursor
2. Restart Cursor
3. Paste this prompt: Generate audio: "Hold on, let me think. <break time="1.5s" /> Alright, I've got it. The key to understanding this phenomenon is not in the data itself, but in what the data leaves out."
1. npx @runapi.ai/mcp init windsurf
2. Restart Windsurf
3. Paste this prompt: Generate audio: "Hold on, let me think. <break time="1.5s" /> Alright, I've got it. The key to understanding this phenomenon is not in the data itself, but in what the data leaves out."
curl -X POST https://runapi.ai/api/v1/elevenlabs/text_to_sound \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "text-to-speech-multilingual-v2",
  "text": "Hold on, let me think. <break time=\"1.5s\" /> Alright, I've got it. The key to understanding this phenomenon is not in the data itself, but in what the data leaves out."
}
JSON
import { ElevenlabsClient } from "@runapi.ai/elevenlabs";

const client = new ElevenlabsClient({
  apiKey: process.env.RUNAPI_API_KEY,
});

const result = await client.textToSound.run({
  "model": "text-to-speech-multilingual-v2",
  "text": "Hold on, let me think. <break time=\"1.5s\" /> Alright, I've got it. The key to understanding this phenomenon is not in the data itself, but in what the data leaves out."
});
console.log(result.id);
require "runapi/elevenlabs"

client = RunApi::Elevenlabs::Client.new
result = client.text_to_sound.run(
  model: "text-to-speech-multilingual-v2",
  text: "Hold on, let me think. <break time=\"1.5s\" /> Alright, I've got it. The key to understanding this phenomenon is not in the data itself, but in what the data leaves out."
)
puts result.id
package main

import (
  "context"
  "fmt"
  "log"
  "net/http"
  "os"
  "strings"
)

func main() {
  body := strings.NewReader("{\"model\":\"text-to-speech-multilingual-v2\",\"text\":\"Hold on, let me think. <break time=\\\"1.5s\\\" /> Alright, I've got it. The key to understanding this phenomenon is not in the data itself, but in what the data leaves out.\"}")
  req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/elevenlabs/text_to_sound", body)
  if err != nil {
    log.Fatal(err)
  }

  req.Header.Set("Authorization", "Bearer "+os.Getenv("RUNAPI_API_KEY"))
  req.Header.Set("Content-Type", "application/json")

  resp, err := http.DefaultClient.Do(req)
  if err != nil {
    log.Fatal(err)
  }
  defer resp.Body.Close()

  fmt.Println(resp.Status)
}
text-to-speech-multilingual-v2 /api/v1/elevenlabs/text_to_sound Get API Key
AU
Audio
documentary text-to-speech-multilingual-v2

Hold on, let me think. <break time="1.5s" /> Alright, I've g...

Hold on, let me think. <break time="1.5s" /> Alright, I've got it. The key to understanding this phenomenon is not in the data itself, but in what the data leaves out.

View API Code
curl -X POST https://runapi.ai/api/v1/elevenlabs/text_to_sound \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "text-to-speech-multilingual-v2",
  "text": "Hold on, let me think. <break time=\"1.5s\" /> Alright, I've got it. The key to understanding this phenomenon is not in the data itself, but in what the data leaves out."
}
JSON
FAQ

Using text-to-speech-multilingual-v2 prompts

What is %{model}?

%{model} is available through RunAPI as part of the unified model catalog. These prompts show practical input patterns that agents and backend services can reuse.

How do I use these prompts?

Copy any prompt and paste it into Claude Code, Codex, Cursor, or Windsurf after installing the RunAPI MCP Server. Developers can also copy the API example and send the prompt directly.

Do these prompts cost money to browse?

Browsing and copying prompt examples is free. Generation requests only cost money when you call a RunAPI model with your API key.

Can I adapt the prompts for production?

Yes. Treat each prompt as a starting point, then add your brand rules, output dimensions, safety constraints, and application-specific context before using it in production.