Examples for using text-to-speech-turbo-v2.5 through RunAPI from agent tools or API calls. Copy a prompt, then use it in Claude Code, Codex, Cursor, Windsurf, or your backend.
1. claude mcp add runapi -s user -- npx -y @runapi.ai/mcp
2. Restart Claude Code
3. Paste this prompt: Generate audio: "[whispers] I never knew it could be this way, but I'm glad we're here."
1. codex plugin install runapi-mcp@agents
2. Restart Codex
3. Paste this prompt: Generate audio: "[whispers] I never knew it could be this way, but I'm glad we're here."
1. npx @runapi.ai/mcp init cursor
2. Restart Cursor
3. Paste this prompt: Generate audio: "[whispers] I never knew it could be this way, but I'm glad we're here."
1. npx @runapi.ai/mcp init windsurf
2. Restart Windsurf
3. Paste this prompt: Generate audio: "[whispers] I never knew it could be this way, but I'm glad we're here."
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-turbo-v2.5",
"text": "[whispers] I never knew it could be this way, but I'm glad we're here."
}
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-turbo-v2.5",
"text": "[whispers] I never knew it could be this way, but I'm glad we're here."
});
console.log(result.id);
require "runapi/elevenlabs"
client = RunApi::Elevenlabs::Client.new
result = client.text_to_sound.run(
model: "text-to-speech-turbo-v2.5",
text: "[whispers] I never knew it could be this way, but I'm glad we're here."
)
puts result.id
package main
import (
"context"
"fmt"
"log"
"net/http"
"os"
"strings"
)
func main() {
body := strings.NewReader("{\"model\":\"text-to-speech-turbo-v2.5\",\"text\":\"[whispers] I never knew it could be this way, but I'm glad we're here.\"}")
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-turbo-v2.5/api/v1/elevenlabs/text_to_soundGet API Key
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-turbo-v2.5",
"text": "You have three new messages and one upcoming meeting in fifteen minutes."
}
JSON
FAQ
Using text-to-speech-turbo-v2.5 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.