PROMPT 详情

coffee shop chatter and clinking cups ambience, warm backgro...

音频 coffee shop suno-v5 
coffee shop chatter and clinking cups ambience, warm background loop
suno-v5 /api/v1/suno/text_to_sound
运行信息
模型
suno-v5
提供方
Suno
服务
Suno
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："coffee shop chatter and clinking cups ambience, warm background loop"
1. codex plugin install runapi-mcp@agents
2. 重启 Codex
3. 粘贴这个 prompt：生成音频："coffee shop chatter and clinking cups ambience, warm background loop"
1. npx @runapi.ai/mcp init cursor
2. 重启 Cursor
3. 粘贴这个 prompt：生成音频："coffee shop chatter and clinking cups ambience, warm background loop"
1. npx @runapi.ai/mcp init windsurf
2. 重启 Windsurf
3. 粘贴这个 prompt：生成音频："coffee shop chatter and clinking cups ambience, warm background loop"
curl -X POST https://runapi.ai/api/v1/suno/text_to_sound \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "suno-v5",
  "text": "coffee shop chatter and clinking cups ambience, warm background loop"
}
JSON
import { SunoClient } from "@runapi.ai/suno";

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

const result = await client.textToSound.run({
  "model": "suno-v5",
  "text": "coffee shop chatter and clinking cups ambience, warm background loop"
});
console.log(result.id);
require "runapi/suno"

client = RunApi::Suno::Client.new
result = client.text_to_sound.run(
  model: "suno-v5",
  text: "coffee shop chatter and clinking cups ambience, warm background loop"
)
puts result.id
package main

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

func main() {
  body := strings.NewReader("{\"model\":\"suno-v5\",\"text\":\"coffee shop chatter and clinking cups ambience, warm background loop\"}")
  req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/suno/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)
}
suno-v5 /api/v1/suno/text_to_sound 获取 API Key
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{
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curl -X POST https://runapi.ai/api/v1/suno/text_to_music \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
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{
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curl -X POST https://runapi.ai/api/v1/suno/text_to_music \
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{
  "model": "suno-v5",
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{
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常见问题

使用这个 suno-v5 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。