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": "[whispers] I never knew it could be this way, but I'm glad we're here."
}
JSON
[sorrowful] I couldn't sleep that night. The air was too still, and the moonlight kept sliding through the blinds like it was trying to tell me something. [quietly] And suddenly, that's when I saw it.
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": "[sorrowful] I couldn't sleep that night. The air was too still, and the moonlight kept sliding through the blinds like it was trying to tell me something. [quietly] And suddenly, that's when I saw it."
}
JSON
[tired] I've been working for 14 hours straight. [sigh] I can't even feel my hands anymore. [nervously] You sure this is going to work? [gulps] Okay… let's go.
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": "[tired] I've been working for 14 hours straight. [sigh] I can't even feel my hands anymore. [nervously] You sure this is going to work? [gulps] Okay… let's go."
}
JSON
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": "[laughing] Brooo—BROOO I don't know WHY that sent me!! [laughs harder] The chicken had NO PLOT, no twist, just raw determination!"
}
JSON
[frustrated sigh] I was seriously about to just trash the whole thing. And it was like... the FLOODGATES opened! It all just CLICKED. [happy gasp] I can't believe it actually worked.
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": "[frustrated sigh] I was seriously about to just trash the whole thing. And it was like... the FLOODGATES opened! It all just CLICKED. [happy gasp] I can't believe it actually worked."
}
JSON
[professional] Thank you for calling Tech Solutions. How can I help you today? [sympathetic] Oh no, I'm really sorry to hear you're having trouble. [reassuring] Alright, based on what you're describing, I think we can fix this quickly.
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": "[professional] Thank you for calling Tech Solutions. How can I help you today? [sympathetic] Oh no, I'm really sorry to hear you're having trouble. [reassuring] Alright, based on what you're describing, I think we can fix this quickly."
}
JSON
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": "[strong French accent] Zat's life, my friend — you can't control everysing. [pause] But you can enjoy ze ride, non?"
}
JSON
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.