Workflow Utilities Interleave Video
Integrate
workflow-utilities/interleave-video
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/workflow-utilities/interleave-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"videos": [
"https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
]
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/workflow-utilities/interleave-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"videos": [
"https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"videos": [
"https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
],
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/workflow-utilities/interleave-video", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
# 1. Connect once (Claude Code; Cursor, VS Code, Claude Desktop: https://doitong.com/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.com/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "workflow-utilities/interleave-video",
"input": {
"videos": [
"https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
]
}
}
Call the Workflow Utilities Interleave Video model (workflow-utilities/interleave-video) through the Doitong API. Docs for agents: https://doitong.com/developers/models/workflow-utilities/interleave-video.md
POST https://api.doitong.com/v1/run/workflow-utilities/interleave-video?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"videos": [
"https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
]
}
If the response status is "queued" or "running", poll GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 until it is "succeeded"; the files are in outputs[].url. POST https://api.doitong.com/v1/quote/workflow-utilities/interleave-video with the same body returns the exact price before the run.
Up to $0.612 per run charged by actual usage, the rest is refunded Run it on this page
Your new API key. It is shown only now and is already in the code and in the API key field below. Keep it secret: never put it in code that runs in a browser.
Your first result goes here
Build a request below and run it with your API key. Outputs are copied to our storage, kept forever or 7 days for free.
Build a request
Controls are generated from the model schema. The code and the price update as you change them.
/run/workflow-utilities/interleave-video?wait=20
quote → $0.612
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/workflow-utilities/interleave-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"videos": [
"https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
]
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/workflow-utilities/interleave-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"videos": [
"https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"videos": [
"https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
],
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/workflow-utilities/interleave-video", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "run",
"arguments": {
"model_id": "workflow-utilities/interleave-video",
"input": {
"videos": [
"https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
]
},
"wait_seconds": 20
}
}
}
Run this request
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About Workflow Utilities Interleave Video
Takes a list of video URLs and interleaves them in the given order into a single video. Set `frames_per_second` (1 to 120) to fix the output frame rate: lower values give a longer, slower result and higher values a shorter, faster one. If unset, the source rate is kept.
Parameters
Send either the canonical name or the native name, not both. Canonical names
video_urlsrequired
videos
frames_per_secondoptional
File parameters take a public https:// URL, a data: URI up to 10 MB, or the file_url of an upload. Files
Output
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "workflow-utilities/interleave-video",
"status": "succeeded",
"created_at": "2026-10-20T12:00:00Z",
"started_at": "2026-10-20T12:00:02Z",
"completed_at": "2026-10-20T12:00:09Z",
"queue_position": null,
"cost": {
"credits": 612,
"usd": "0.612",
"charged": 612,
"refunded": 0
},
"input": {
"video_urls": [
"https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
]
},
"output": {
"video": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
"content_type": "video/mp4",
"file_name": "0-output.mp4",
"file_size": 1843200
}
},
"outputs": [
{
"type": "video",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
"content_type": "video/mp4",
"file_size": 1843200,
"width": 1280,
"height": 720,
"duration": 5,
"stored": true
}
],
"error": null,
"metrics": {
"inference_seconds": 6.8
},
"urls": {
"self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Fields of output
- video
- object {url, content_type, file_name, file_size}Video produced by interleaving the inputs.
Other Workflow Utilities variants
More models: Video to Video
For AI agents: this page as Markdown is at https://doitong.com/developers/models/workflow-utilities/interleave-video.md. All models and guides: https://doitong.com/developers/llms.txt