1. claude mcp add runapi -s user -- npx -y @runapi.ai/mcp
2. 重启 Claude Code
3. 粘贴这个 prompt：生成一段视频："Golden hour sunset over Icelandic black sand beach, slow ocean waves crashing on volcanic rocks, warm sky colors transitioning from amber to deep purple, low-angle slow push-in, epic atmosphere, cinematic 4K."
1. codex plugin install runapi-mcp@agents
2. 重启 Codex
3. 粘贴这个 prompt：生成一段视频："Golden hour sunset over Icelandic black sand beach, slow ocean waves crashing on volcanic rocks, warm sky colors transitioning from amber to deep purple, low-angle slow push-in, epic atmosphere, cinematic 4K."
1. npx @runapi.ai/mcp init cursor
2. 重启 Cursor
3. 粘贴这个 prompt：生成一段视频："Golden hour sunset over Icelandic black sand beach, slow ocean waves crashing on volcanic rocks, warm sky colors transitioning from amber to deep purple, low-angle slow push-in, epic atmosphere, cinematic 4K."
1. npx @runapi.ai/mcp init windsurf
2. 重启 Windsurf
3. 粘贴这个 prompt：生成一段视频："Golden hour sunset over Icelandic black sand beach, slow ocean waves crashing on volcanic rocks, warm sky colors transitioning from amber to deep purple, low-angle slow push-in, epic atmosphere, cinematic 4K."
curl -X POST https://runapi.ai/api/v1/veo_3_1/text_to_video \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "veo-3.1",
"prompt": "Golden hour sunset over Icelandic black sand beach, slow ocean waves crashing on volcanic rocks, warm sky colors transitioning from amber to deep purple, low-angle slow push-in, epic atmosphere, cinematic 4K."
}
JSON
import { Veo31Client } from "@runapi.ai/veo-3-1";
const client = new Veo31Client({
apiKey: process.env.RUNAPI_API_KEY,
});
const result = await client.textToVideo.run({
"model": "veo-3.1",
"prompt": "Golden hour sunset over Icelandic black sand beach, slow ocean waves crashing on volcanic rocks, warm sky colors transitioning from amber to deep purple, low-angle slow push-in, epic atmosphere, cinematic 4K."
});
console.log(result.id);
require "runapi/veo_3_1"
client = RunApi::Veo31::Client.new
result = client.text_to_video.run(
model: "veo-3.1",
prompt: "Golden hour sunset over Icelandic black sand beach, slow ocean waves crashing on volcanic rocks, warm sky colors transitioning from amber to deep purple, low-angle slow push-in, epic atmosphere, cinematic 4K."
)
puts result.id
package main
import (
"context"
"fmt"
"log"
"net/http"
"os"
"strings"
)
func main() {
body := strings.NewReader("{\"model\":\"veo-3.1\",\"prompt\":\"Golden hour sunset over Icelandic black sand beach, slow ocean waves crashing on volcanic rocks, warm sky colors transitioning from amber to deep purple, low-angle slow push-in, epic atmosphere, cinematic 4K.\"}")
req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/veo_3_1/text_to_video", 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)
}
A steaming pizza is pulled from a wood-fired oven on a long wooden peel. Cheese stretches as a slice is lifted. Close-up details of the bubbling crust and charred edges. Warm, rustic Italian restaurant ambiance. Food photography lighting with warm tones.
curl -X POST https://runapi.ai/api/v1/veo_3_1/text_to_video \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "veo-3.1",
"prompt": "A steaming pizza is pulled from a wood-fired oven on a long wooden peel. Cheese stretches as a slice is lifted. Close-up details of the bubbling crust and charred edges. Warm, rustic Italian restaurant ambiance. Food photography lighting with warm tones."
}
JSON