MODEL PROMPTS

text-to-dialogue-v3 Prompts — 3 curated examples

Examples for using text-to-dialogue-v3 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-dialogue-v3

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: "Speaker 1: [excitedly] Sam! Have you tried the new model yet? It's incredible! Speaker 2: [curiously] Just got access. What makes it so special? Speaker 1: [whispers] Watch this... [dramatically] I can do full Shakespeare now! Speaker 2: [with genuine belly laugh] Ha ha ha! That's amazing."
1. codex plugin install runapi-mcp@agents
2. Restart Codex
3. Paste this prompt: Generate audio: "Speaker 1: [excitedly] Sam! Have you tried the new model yet? It's incredible! Speaker 2: [curiously] Just got access. What makes it so special? Speaker 1: [whispers] Watch this... [dramatically] I can do full Shakespeare now! Speaker 2: [with genuine belly laugh] Ha ha ha! That's amazing."
1. npx @runapi.ai/mcp init cursor
2. Restart Cursor
3. Paste this prompt: Generate audio: "Speaker 1: [excitedly] Sam! Have you tried the new model yet? It's incredible! Speaker 2: [curiously] Just got access. What makes it so special? Speaker 1: [whispers] Watch this... [dramatically] I can do full Shakespeare now! Speaker 2: [with genuine belly laugh] Ha ha ha! That's amazing."
1. npx @runapi.ai/mcp init windsurf
2. Restart Windsurf
3. Paste this prompt: Generate audio: "Speaker 1: [excitedly] Sam! Have you tried the new model yet? It's incredible! Speaker 2: [curiously] Just got access. What makes it so special? Speaker 1: [whispers] Watch this... [dramatically] I can do full Shakespeare now! Speaker 2: [with genuine belly laugh] Ha ha ha! That's amazing."
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-dialogue-v3",
  "text": "Speaker 1: [excitedly] Sam! Have you tried the new model yet? It's incredible! Speaker 2: [curiously] Just got access. What makes it so special? Speaker 1: [whispers] Watch this... [dramatically] I can do full Shakespeare now! Speaker 2: [with genuine belly laugh] Ha ha ha! That's amazing."
}
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-dialogue-v3",
  "text": "Speaker 1: [excitedly] Sam! Have you tried the new model yet? It's incredible! Speaker 2: [curiously] Just got access. What makes it so special? Speaker 1: [whispers] Watch this... [dramatically] I can do full Shakespeare now! Speaker 2: [with genuine belly laugh] Ha ha ha! That's amazing."
});
console.log(result.id);
require "runapi/elevenlabs"

client = RunApi::Elevenlabs::Client.new
result = client.text_to_sound.run(
  model: "text-to-dialogue-v3",
  text: "Speaker 1: [excitedly] Sam! Have you tried the new model yet? It's incredible! Speaker 2: [curiously] Just got access. What makes it so special? Speaker 1: [whispers] Watch this... [dramatically] I can do full Shakespeare now! Speaker 2: [with genuine belly laugh] Ha ha ha! That's amazing."
)
puts result.id
package main

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

func main() {
  body := strings.NewReader("{\"model\":\"text-to-dialogue-v3\",\"text\":\"Speaker 1: [excitedly] Sam! Have you tried the new model yet? It's incredible! Speaker 2: [curiously] Just got access. What makes it so special? Speaker 1: [whispers] Watch this... [dramatically] I can do full Shakespeare now! Speaker 2: [with genuine belly laugh] Ha ha ha! That's amazing.\"}")
  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-dialogue-v3 /api/v1/elevenlabs/text_to_sound Get API Key
AU
Audio
dialogue text-to-dialogue-v3

Two-character interview dialogue

Host: Welcome back to the show. Today we're talking with Dr. Chen about the latest findings in marine biology. Doctor, you've spent six months in a submarine. What was the most surprising thing you saw down there? Dr. Chen: Honestly? The silence. People imagine the deep ocean is full of strange sounds, but at four thousand meters, it's the quietest place I've ever been. When we turned off all the equipment for calibration, the silence was so total it felt physical. Like pressure on your ears, but from the absence of sound rather than from water.

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-dialogue-v3",
  "text": "Host: Welcome back to the show. Today we're talking with Dr. Chen about the latest findings in marine biology. Doctor, you've spent six months in a submarine. What was the most surprising thing you saw down there? Dr. Chen: Honestly? The silence. People imagine the deep ocean is full of strange sounds, but at four thousand meters, it's the quietest place I've ever been. When we turned off all the equipment for calibration, the silence was so total it felt physical. Like pressure on your ears, but from the absence of sound rather than from water."
}
JSON
FAQ

Using text-to-dialogue-v3 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.