PROMPT 详情

Busy New York intersection at rush hour: honking horns, chat...

Busy New York intersection at rush hour: honking horns, chattering pedestrians, and a passing subway train
sound-effect-v2 /api/v1/elevenlabs/text_to_sound
运行信息
模型
sound-effect-v2
提供方
ElevenLabs
服务
Elevenlabs
Endpoint
Text To Sound
1. claude mcp add runapi -s user -- npx -y @runapi.ai/mcp
2. 重启 Claude Code
3. 粘贴这个 prompt:生成音频:"Busy New York intersection at rush hour: honking horns, chattering pedestrians, and a passing subway train"
1. codex plugin install runapi-mcp@agents
2. 重启 Codex
3. 粘贴这个 prompt:生成音频:"Busy New York intersection at rush hour: honking horns, chattering pedestrians, and a passing subway train"
1. npx @runapi.ai/mcp init cursor
2. 重启 Cursor
3. 粘贴这个 prompt:生成音频:"Busy New York intersection at rush hour: honking horns, chattering pedestrians, and a passing subway train"
1. npx @runapi.ai/mcp init windsurf
2. 重启 Windsurf
3. 粘贴这个 prompt:生成音频:"Busy New York intersection at rush hour: honking horns, chattering pedestrians, and a passing subway train"
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": "sound-effect-v2",
  "text": "Busy New York intersection at rush hour: honking horns, chattering pedestrians, and a passing subway train"
}
JSON
import { ElevenlabsClient } from "@runapi.ai/elevenlabs";

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

const result = await client.textToSound.run({
  "model": "sound-effect-v2",
  "text": "Busy New York intersection at rush hour: honking horns, chattering pedestrians, and a passing subway train"
});
console.log(result.id);
require "runapi/elevenlabs"

client = RunApi::Elevenlabs::Client.new
result = client.text_to_sound.run(
  model: "sound-effect-v2",
  text: "Busy New York intersection at rush hour: honking horns, chattering pedestrians, and a passing subway train"
)
puts result.id
package main

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

func main() {
  body := strings.NewReader("{\"model\":\"sound-effect-v2\",\"text\":\"Busy New York intersection at rush hour: honking horns, chattering pedestrians, and a passing subway train\"}")
  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)
}
sound-effect-v2 /api/v1/elevenlabs/text_to_sound 获取 API Key
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常见问题

使用这个 sound-effect-v2 prompt

如何安全复制这个 prompt?

使用完整 prompt 区块旁边的复制按钮。它只复制 prompt 文本,不包含页面标签,所以可以直接粘贴到 agent 指令、JSON 请求体或你自己的 prompt 库。

为什么详情页会显示参数?

有些 prompt 采集时带有画幅、时长或声音控制等生成设置。存在参数时,页面会单独列出,方便你同时复用 prompt 文本和结构化设置。

应该调用哪个 endpoint?

使用 API 代码块里显示的 endpoint 路径。这个路径由 prompt 的 RunAPI 服务和 endpoint 名称生成,并渲染成 curl 与 SDK 示例使用的公开 API URL。

可以不用代码,直接在 agent 里用吗?

可以。在标签切换器里选择 Claude Code、Codex、Cursor 或 Windsurf,安装 RunAPI MCP Server,然后粘贴生成好的指令。指令会包含完整 prompt 文本。