Driving Short Drama Desk from code

Everything the web app does is available over HTTP. The base URL is https://api.skillsafe.ai/v1/app-api, every request carries Authorization: Bearer <token>, and every response is the same envelope.

The `task` field comes first

This app has five lanes behind one endpoint. Every run body must carry a task field naming the lane - it is what the system prompt routes on. Send the wrong one and you get a valid package of the wrong kind; omit it and the model picks the closest lane and tells you which it chose.

One more shape trap: the run body is the input object. Do not wrap it in an {"input": ...} envelope - that returns 200 while hiding task from the model, which is the most confusing way this API can fail.

task Lane Fields Sections returned

adapt Source adaptation source, episodes, ep_seconds, form, audience, language Summary, Adaptation Verdict, Value Assessment, Episode Map, Character Ledger, Adaptation Risks, Next Step

script Episode script brief, episode, ep_seconds, carry_in, form, language Summary, Episode Script, Scene Ledger, Hook Check, Next Step

board Storyboard script, visuals, images, refs, episode, form, prompt_language, language Summary, Shot Table, Storyboard Document, Continuity Check, Next Step

motion Video prompts board, visuals, episode, form, music, prompt_language, language Summary, Route Table, Motion Document, Continuity Check, Next Step

review Review document, scope, script, board, images, episode, language Summary, Verdict, Findings, Revision Requests, Next Step

task	Lane	Fields	Sections returned
`adapt`	Source adaptation	`source, episodes, ep_seconds, form, audience, language`	Summary, Adaptation Verdict, Value Assessment, Episode Map, Character Ledger, Adaptation Risks, Next Step
`script`	Episode script	`brief, episode, ep_seconds, carry_in, form, language`	Summary, Episode Script, Scene Ledger, Hook Check, Next Step
`board`	Storyboard	`script, visuals, images, refs, episode, form, prompt_language, language`	Summary, Shot Table, Storyboard Document, Continuity Check, Next Step
`motion`	Video prompts	`board, visuals, episode, form, music, prompt_language, language`	Summary, Route Table, Motion Document, Continuity Check, Next Step
`review`	Review	`document, scope, script, board, images, episode, language`	Summary, Verdict, Findings, Revision Requests, Next Step

Only task and the lane's own required fields are mandatory: source for adapt, brief and episode for script, script and episode for board, board and episode for motion, and document plus scope for review. Everything else has a sensible default. episodes and ep_seconds are numbers, not strings - sending "90" where 90 is expected is the most common 400. language and prompt_language are separate on purpose: the first governs the creator-facing prose, the second the copyable prompt bodies, and neither is inferred from the other.

Add $model to any body to choose the model for that run: gpt-5.6-luna, gpt-5.6-terra (the default) or gpt-5.6-sol. Luna caps output at 4,096 tokens and will fail the script, board and motion lanes rather than shorten them - those return a whole document.

The response envelope

Success and failure have the same outer shape, so one check covers both.

{
  "ok": true,
  "data": {
    "...": "the result"
  }
}

{
  "ok": false,
  "error": {
    "code": "VALIDATION_ERROR",
    "message": "seconds should be number, got string",
    "details": {}
  }
}

HTTP error.code What it means

400 VALIDATION_ERROR The body was not a JSON object, or a declared field had the wrong type. A number field sent as a string is the usual cause.

401 UNAUTHORIZED No token, or a token that has expired or been revoked. Mint a new one.

402 INSUFFICIENT_CREDITS The balance is below the run's minimum. Call /estimate first and compare hold_credits against /me.

404 NOT_FOUND Wrong path, or a job id that does not belong to this token.

409 CONFLICT An Idempotency-Key replay whose body differs from the original request.

429 RATE_LIMITED Too many requests. Back off; do not tight-loop.

503 UPSTREAM_UNAVAILABLE The model provider is unavailable. Retry with backoff.

HTTP	error.code	What it means
`400`	`VALIDATION_ERROR`	The body was not a JSON object, or a declared field had the wrong type. A number field sent as a string is the usual cause.
`401`	`UNAUTHORIZED`	No token, or a token that has expired or been revoked. Mint a new one.
`402`	`INSUFFICIENT_CREDITS`	The balance is below the run's minimum. Call /estimate first and compare hold_credits against /me.
`404`	`NOT_FOUND`	Wrong path, or a job id that does not belong to this token.
`409`	`CONFLICT`	An Idempotency-Key replay whose body differs from the original request.
`429`	`RATE_LIMITED`	Too many requests. Back off; do not tight-loop.
`503`	`UPSTREAM_UNAVAILABLE`	The model provider is unavailable. Retry with backoff.

1. Get a token

Open /tokens.html in a browser and copy the token this app already holds - no developer console needed. A guest token is minted automatically and is enough for /me and /estimate; writing a package is metered and needs a personal token, which comes from signing in on that page.

Keep it in an environment variable rather than in source:

export SKILLSAFE_TOKEN="YOUR_TOKEN"

2. Check the session and the balance

GET /me is free. It returns only three fields: subject_type, subject_id and credits. Signed-in means subject_type == "user" - there is no username or email to test.

curl -sS -X GET "https://api.skillsafe.ai/v1/app-api/me" \
  -H "Authorization: Bearer $SKILLSAFE_TOKEN"

import json, urllib.request

TOKEN = "YOUR_TOKEN"   # from /tokens.html
BASE  = "https://api.skillsafe.ai/v1/app-api"

def call(method, path, payload=None, headers=None):
    data = json.dumps(payload).encode() if payload is not None else None
    req = urllib.request.Request(BASE + path, data=data, method=method)
    req.add_header("Authorization", "Bearer " + TOKEN)
    req.add_header("Content-Type", "application/json")
    req.add_header("Accept", "application/json")
    # A plain urllib request with no User-Agent is refused with 403.
    req.add_header("User-Agent", "short-drama-desk-client/1.0")
    for k, v in (headers or {}).items():
        req.add_header(k, v)
    with urllib.request.urlopen(req) as r:
        return json.loads(r.read())

out = call("GET", "/me")
print(json.dumps(out["data"], indent=2))

const TOKEN = "YOUR_TOKEN";   // from /tokens.html
const BASE  = "https://api.skillsafe.ai/v1/app-api";

async function call(method, path, payload) {
  const res = await fetch(BASE + path, {
    method,
    headers: {
      "Authorization": `Bearer ${TOKEN}`,
      "Content-Type": "application/json"
    },
    body: payload === undefined ? undefined : JSON.stringify(payload)
  });
  const json = await res.json();
  if (!res.ok || !json.ok) throw new Error(json.error?.message || res.statusText);
  return json.data;
}

const data = await call("GET", "/me");
console.log(data);

package main

import (
	"bytes"
	"fmt"
	"io"
	"net/http"
)

const base = "https://api.skillsafe.ai/v1/app-api"
const token = "YOUR_TOKEN" // from /tokens.html

func main() {
	req, _ := http.NewRequest("GET", base+"/me", nil)
	req.Header.Set("Authorization", "Bearer "+token)
	req.Header.Set("Content-Type", "application/json")
	res, err := http.DefaultClient.Do(req)
	if err != nil {
		panic(err)
	}
	defer res.Body.Close()
	out, _ := io.ReadAll(res.Body)
	fmt.Println(string(out))
}

import java.net.URI;
import java.net.http.*;

public class Main {
    static final String BASE  = "https://api.skillsafe.ai/v1/app-api";
    static final String TOKEN = "YOUR_TOKEN"; // from /tokens.html

    public static void main(String[] args) throws Exception {
        HttpRequest req = HttpRequest.newBuilder()
            .uri(URI.create(BASE + "/me"))
            .header("Authorization", "Bearer " + TOKEN)
            .header("Content-Type", "application/json")
            .method("GET", HttpRequest.BodyPublishers.noBody())
            .build();
        HttpResponse<String> res = HttpClient.newHttpClient()
            .send(req, HttpResponse.BodyHandlers.ofString());
        System.out.println(res.body());
    }
}

require 'net/http'
require 'json'
require 'uri'

BASE  = "https://api.skillsafe.ai/v1/app-api"
TOKEN = "YOUR_TOKEN" # from /tokens.html

uri = URI("#{BASE}/me")
req = Net::HTTP::Get.new(uri)
req["Authorization"] = "Bearer #{TOKEN}"
req["Content-Type"] = "application/json"
res = Net::HTTP.start(uri.hostname, uri.port, use_ssl: true) { |h| h.request(req) }
puts JSON.pretty_generate(JSON.parse(res.body)["data"])

<?php
$base  = "https://api.skillsafe.ai/v1/app-api";
$token = "YOUR_TOKEN"; // from /tokens.html

$opts = ["http" => [
    "method"  => "GET",
    "header"  => "Authorization: Bearer $token\r\nContent-Type: application/json\r\n",
]];
$res  = file_get_contents($base . "/me", false, stream_context_create($opts));
$json = json_decode($res, true);
print_r($json["data"]);

using System.Net.Http;
using System.Text;

const string Base  = "https://api.skillsafe.ai/v1/app-api";
const string Token = "YOUR_TOKEN"; // from /tokens.html

var http = new HttpClient();
http.DefaultRequestHeaders.Add("Authorization", $"Bearer {Token}");

var res = await http.SendAsync(new HttpRequestMessage(new HttpMethod("GET"), Base + "/me")
{
    Content = null
});
Console.WriteLine(await res.Content.ReadAsStringAsync());

3. Price the run before making it

POST /estimate costs nothing, creates no job, and returns the worst-case cost. Compare hold_credits against the balance from step 2 before you submit: a 402 after the fact is avoidable. hold_credits is a reservation priced at the full output cap - the actual charge is usually far lower.

It also echoes model, model_alias and markup_bps, which is the authoritative check that a run is bound to the model you think it is. Estimate each lane separately: their prompts and caps differ, so their holds do.

curl -sS -X POST "https://api.skillsafe.ai/v1/app-api/estimate" \
  -H "Authorization: Bearer $SKILLSAFE_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "task": "motion",
  "board": "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals": "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode": "EP001",
  "form": "live",
  "prompt_language": "en",
  "language": "zh"
}'

import json, urllib.request

TOKEN = "YOUR_TOKEN"   # from /tokens.html
BASE  = "https://api.skillsafe.ai/v1/app-api"

def call(method, path, payload=None, headers=None):
    data = json.dumps(payload).encode() if payload is not None else None
    req = urllib.request.Request(BASE + path, data=data, method=method)
    req.add_header("Authorization", "Bearer " + TOKEN)
    req.add_header("Content-Type", "application/json")
    req.add_header("Accept", "application/json")
    # A plain urllib request with no User-Agent is refused with 403.
    req.add_header("User-Agent", "short-drama-desk-client/1.0")
    for k, v in (headers or {}).items():
        req.add_header(k, v)
    with urllib.request.urlopen(req) as r:
        return json.loads(r.read())

payload = {
  "task": "motion",
  "board": "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals": "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode": "EP001",
  "form": "live",
  "prompt_language": "en",
  "language": "zh"
}
out = call("POST", "/estimate", payload)
print(out["data"]["hold_credits"], out["data"]["model"])

const TOKEN = "YOUR_TOKEN";   // from /tokens.html
const BASE  = "https://api.skillsafe.ai/v1/app-api";

async function call(method, path, payload) {
  const res = await fetch(BASE + path, {
    method,
    headers: {
      "Authorization": `Bearer ${TOKEN}`,
      "Content-Type": "application/json"
    },
    body: payload === undefined ? undefined : JSON.stringify(payload)
  });
  const json = await res.json();
  if (!res.ok || !json.ok) throw new Error(json.error?.message || res.statusText);
  return json.data;
}

const payload = {
  "task": "motion",
  "board": "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals": "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode": "EP001",
  "form": "live",
  "prompt_language": "en",
  "language": "zh"
};
const data = await call("POST", "/estimate", payload);
console.log(data.hold_credits, data.model, data.model_alias);

package main

import (
	"bytes"
	"fmt"
	"io"
	"net/http"
)

const base = "https://api.skillsafe.ai/v1/app-api"
const token = "YOUR_TOKEN" // from /tokens.html

func main() {
	payload := []byte(`{
  "task": "motion",
  "board": "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals": "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode": "EP001",
  "form": "live",
  "prompt_language": "en",
  "language": "zh"
}`)
	req, _ := http.NewRequest("POST", base+"/estimate", bytes.NewReader(payload))
	req.Header.Set("Authorization", "Bearer "+token)
	req.Header.Set("Content-Type", "application/json")
	res, err := http.DefaultClient.Do(req)
	if err != nil {
		panic(err)
	}
	defer res.Body.Close()
	out, _ := io.ReadAll(res.Body)
	fmt.Println(string(out))
}

import java.net.URI;
import java.net.http.*;

public class Main {
    static final String BASE  = "https://api.skillsafe.ai/v1/app-api";
    static final String TOKEN = "YOUR_TOKEN"; // from /tokens.html

    public static void main(String[] args) throws Exception {
        String payload = """
{
  "task": "motion",
  "board": "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals": "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode": "EP001",
  "form": "live",
  "prompt_language": "en",
  "language": "zh"
}
""";
        HttpRequest req = HttpRequest.newBuilder()
            .uri(URI.create(BASE + "/estimate"))
            .header("Authorization", "Bearer " + TOKEN)
            .header("Content-Type", "application/json")
            .method("POST", HttpRequest.BodyPublishers.ofString(payload))
            .build();
        HttpResponse<String> res = HttpClient.newHttpClient()
            .send(req, HttpResponse.BodyHandlers.ofString());
        System.out.println(res.body());
    }
}

require 'net/http'
require 'json'
require 'uri'

BASE  = "https://api.skillsafe.ai/v1/app-api"
TOKEN = "YOUR_TOKEN" # from /tokens.html

payload = {
  "task": "motion",
  "board": "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals": "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode": "EP001",
  "form": "live",
  "prompt_language": "en",
  "language": "zh"
}

uri = URI("#{BASE}/estimate")
req = Net::HTTP::Post.new(uri)
req["Authorization"] = "Bearer #{TOKEN}"
req["Content-Type"] = "application/json"
req.body = JSON.dump(payload)
res = Net::HTTP.start(uri.hostname, uri.port, use_ssl: true) { |h| h.request(req) }
puts JSON.pretty_generate(JSON.parse(res.body)["data"])

<?php
$base  = "https://api.skillsafe.ai/v1/app-api";
$token = "YOUR_TOKEN"; // from /tokens.html

$payload = json_encode([
  "task" => "motion",
  "board" => "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals" => "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode" => "EP001",
  "form" => "live",
  "prompt_language" => "en",
  "language" => "zh"
]);

$opts = ["http" => [
    "method"  => "POST",
    "header"  => "Authorization: Bearer $token\r\nContent-Type: application/json\r\n",
    "content" => $payload,
]];
$res  = file_get_contents($base . "/estimate", false, stream_context_create($opts));
$json = json_decode($res, true);
print_r($json["data"]);

using System.Net.Http;
using System.Text;

const string Base  = "https://api.skillsafe.ai/v1/app-api";
const string Token = "YOUR_TOKEN"; // from /tokens.html

var http = new HttpClient();
http.DefaultRequestHeaders.Add("Authorization", $"Bearer {Token}");

var payload = """
{
  "task": "motion",
  "board": "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals": "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode": "EP001",
  "form": "live",
  "prompt_language": "en",
  "language": "zh"
}
""";
var content = new StringContent(payload, Encoding.UTF8, "application/json");
var res = await http.SendAsync(new HttpRequestMessage(new HttpMethod("POST"), Base + "/estimate")
{
    Content = content
});
Console.WriteLine(await res.Content.ReadAsStringAsync());

4. Write a package

POST /run submits the job. Always send an Idempotency-Key: a network blip that replays the same request must not bill twice. A replay with the same key returns the stored result and is not charged again; a replay with the same key but a different body is a 409.

The response carries output.output (the Markdown package), charged_credits and truncated. If truncated is true the balance sat between min_credits and hold_credits and the output was cut short - render what arrived and say so rather than presenting it as complete.

curl -sS -X POST "https://api.skillsafe.ai/v1/app-api/run" \
  -H "Authorization: Bearer $SKILLSAFE_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "task": "motion",
  "board": "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals": "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode": "EP001",
  "form": "live",
  "prompt_language": "en",
  "language": "zh"
}'

import json, urllib.request

TOKEN = "YOUR_TOKEN"   # from /tokens.html
BASE  = "https://api.skillsafe.ai/v1/app-api"

def call(method, path, payload=None, headers=None):
    data = json.dumps(payload).encode() if payload is not None else None
    req = urllib.request.Request(BASE + path, data=data, method=method)
    req.add_header("Authorization", "Bearer " + TOKEN)
    req.add_header("Content-Type", "application/json")
    req.add_header("Accept", "application/json")
    # A plain urllib request with no User-Agent is refused with 403.
    req.add_header("User-Agent", "short-drama-desk-client/1.0")
    for k, v in (headers or {}).items():
        req.add_header(k, v)
    with urllib.request.urlopen(req) as r:
        return json.loads(r.read())

payload = {
  "task": "motion",
  "board": "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals": "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode": "EP001",
  "form": "live",
  "prompt_language": "en",
  "language": "zh"
}
out = call("POST", "/run", payload)
print(out["data"]["output"]["output"])

const TOKEN = "YOUR_TOKEN";   // from /tokens.html
const BASE  = "https://api.skillsafe.ai/v1/app-api";

async function call(method, path, payload) {
  const res = await fetch(BASE + path, {
    method,
    headers: {
      "Authorization": `Bearer ${TOKEN}`,
      "Content-Type": "application/json"
    },
    body: payload === undefined ? undefined : JSON.stringify(payload)
  });
  const json = await res.json();
  if (!res.ok || !json.ok) throw new Error(json.error?.message || res.statusText);
  return json.data;
}

const payload = {
  "task": "motion",
  "board": "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals": "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode": "EP001",
  "form": "live",
  "prompt_language": "en",
  "language": "zh"
};
const data = await call("POST", "/run", payload);
console.log(data.output.output);

package main

import (
	"bytes"
	"fmt"
	"io"
	"net/http"
)

const base = "https://api.skillsafe.ai/v1/app-api"
const token = "YOUR_TOKEN" // from /tokens.html

func main() {
	payload := []byte(`{
  "task": "motion",
  "board": "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals": "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode": "EP001",
  "form": "live",
  "prompt_language": "en",
  "language": "zh"
}`)
	req, _ := http.NewRequest("POST", base+"/run", bytes.NewReader(payload))
	req.Header.Set("Authorization", "Bearer "+token)
	req.Header.Set("Content-Type", "application/json")
	res, err := http.DefaultClient.Do(req)
	if err != nil {
		panic(err)
	}
	defer res.Body.Close()
	out, _ := io.ReadAll(res.Body)
	fmt.Println(string(out))
}

import java.net.URI;
import java.net.http.*;

public class Main {
    static final String BASE  = "https://api.skillsafe.ai/v1/app-api";
    static final String TOKEN = "YOUR_TOKEN"; // from /tokens.html

    public static void main(String[] args) throws Exception {
        String payload = """
{
  "task": "motion",
  "board": "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals": "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode": "EP001",
  "form": "live",
  "prompt_language": "en",
  "language": "zh"
}
""";
        HttpRequest req = HttpRequest.newBuilder()
            .uri(URI.create(BASE + "/run"))
            .header("Authorization", "Bearer " + TOKEN)
            .header("Content-Type", "application/json")
            .method("POST", HttpRequest.BodyPublishers.ofString(payload))
            .build();
        HttpResponse<String> res = HttpClient.newHttpClient()
            .send(req, HttpResponse.BodyHandlers.ofString());
        System.out.println(res.body());
    }
}

require 'net/http'
require 'json'
require 'uri'

BASE  = "https://api.skillsafe.ai/v1/app-api"
TOKEN = "YOUR_TOKEN" # from /tokens.html

payload = {
  "task": "motion",
  "board": "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals": "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode": "EP001",
  "form": "live",
  "prompt_language": "en",
  "language": "zh"
}

uri = URI("#{BASE}/run")
req = Net::HTTP::Post.new(uri)
req["Authorization"] = "Bearer #{TOKEN}"
req["Content-Type"] = "application/json"
req.body = JSON.dump(payload)
res = Net::HTTP.start(uri.hostname, uri.port, use_ssl: true) { |h| h.request(req) }
puts JSON.pretty_generate(JSON.parse(res.body)["data"])

<?php
$base  = "https://api.skillsafe.ai/v1/app-api";
$token = "YOUR_TOKEN"; // from /tokens.html

$payload = json_encode([
  "task" => "motion",
  "board" => "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals" => "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode" => "EP001",
  "form" => "live",
  "prompt_language" => "en",
  "language" => "zh"
]);

$opts = ["http" => [
    "method"  => "POST",
    "header"  => "Authorization: Bearer $token\r\nContent-Type: application/json\r\n",
    "content" => $payload,
]];
$res  = file_get_contents($base . "/run", false, stream_context_create($opts));
$json = json_decode($res, true);
print_r($json["data"]);

using System.Net.Http;
using System.Text;

const string Base  = "https://api.skillsafe.ai/v1/app-api";
const string Token = "YOUR_TOKEN"; // from /tokens.html

var http = new HttpClient();
http.DefaultRequestHeaders.Add("Authorization", $"Bearer {Token}");

var payload = """
{
  "task": "motion",
  "board": "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals": "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode": "EP001",
  "form": "live",
  "prompt_language": "en",
  "language": "zh"
}
""";
var content = new StringContent(payload, Encoding.UTF8, "application/json");
var res = await http.SendAsync(new HttpRequestMessage(new HttpMethod("POST"), Base + "/run")
{
    Content = content
});
Console.WriteLine(await res.Content.ReadAsStringAsync());

5. Stream a run

POST /run-stream is the same call with a text/event-stream response. Worth knowing before you build on it: from a server or from cURL you get event: delta frames carrying the output token by token; from a browser you get event: tick heartbeats and then one event: done with the whole output. Handle both, and treat ticks as liveness rather than progress.

Frame types are job (the job id), delta ({"text": "..."}), tick ({"t": seconds}), done, and error. An idempotent replay returns plain JSON with no stream at all, so check the content type before you start reading frames.

curl -sS -N -X POST "https://api.skillsafe.ai/v1/app-api/run-stream" \
  -H "Authorization: Bearer $SKILLSAFE_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Accept: text/event-stream" \
  -H "Idempotency-Key: sdd-$(date +%s)" \
  -d '{
  "task": "motion",
  "board": "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals": "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode": "EP001",
  "form": "live",
  "prompt_language": "en",
  "language": "zh"
}'

import json, urllib.request

TOKEN = "YOUR_TOKEN"
BASE  = "https://api.skillsafe.ai/v1/app-api"

payload = {
  "task": "motion",
  "board": "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals": "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode": "EP001",
  "form": "live",
  "prompt_language": "en",
  "language": "zh"
}

req = urllib.request.Request(BASE + "/run-stream", data=json.dumps(payload).encode(), method="POST")
req.add_header("Authorization", "Bearer " + TOKEN)
req.add_header("Content-Type", "application/json")
req.add_header("Accept", "text/event-stream")
req.add_header("Idempotency-Key", "sdd-demo-1")
req.add_header("User-Agent", "short-drama-desk-client/1.0")

event, data = "message", ""
with urllib.request.urlopen(req) as r:
    for raw in r:
        line = raw.decode().rstrip("\n")
        if line.startswith("event:"):
            event = line[6:].strip()
        elif line.startswith("data:"):
            data += line[5:].strip()
        elif line == "":
            if data:
                frame = json.loads(data)
                if event == "delta":
                    print(frame.get("text", ""), end="")
                elif event == "done":
                    print("\n--- charged:", frame.get("charged_credits"))
            event, data = "message", ""

const TOKEN = "YOUR_TOKEN";
const BASE  = "https://api.skillsafe.ai/v1/app-api";

const payload = {
  "task": "motion",
  "board": "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals": "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode": "EP001",
  "form": "live",
  "prompt_language": "en",
  "language": "zh"
};

const res = await fetch(BASE + "/run-stream", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${TOKEN}`,
    "Content-Type": "application/json",
    "Idempotency-Key": "sdd-demo-1"
  },
  body: JSON.stringify(payload)
});

// An idempotent replay comes back as plain JSON with no stream at all.
if (!(res.headers.get("content-type") || "").includes("text/event-stream")) {
  const json = await res.json();
  console.log(json.data.output.output);
} else {
  const reader = res.body.getReader();
  const dec = new TextDecoder();
  let buf = "";
  for (;;) {
    const { done, value } = await reader.read();
    if (done) break;
    buf += dec.decode(value, { stream: true });
    let i;
    while ((i = buf.indexOf("\n\n")) >= 0) {
      const frame = buf.slice(0, i);
      buf = buf.slice(i + 2);
      let name = "message", data = "";
      for (const line of frame.split("\n")) {
        if (line.startsWith("event:")) name = line.slice(6).trim();
        else if (line.startsWith("data:")) data += line.slice(5).trim();
      }
      if (!data) continue;
      const p = JSON.parse(data);
      if (name === "delta") process.stdout.write(p.text || "");
      if (name === "tick") console.error("still writing:", p.t + "s");
      if (name === "done") console.log("\ncharged:", p.charged_credits);
    }
  }
}

package main

import (
	"bytes"
	"fmt"
	"io"
	"net/http"
)

const base = "https://api.skillsafe.ai/v1/app-api"
const token = "YOUR_TOKEN" // from /tokens.html

func main() {
	payload := []byte(`{
  "task": "motion",
  "board": "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals": "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode": "EP001",
  "form": "live",
  "prompt_language": "en",
  "language": "zh"
}`)
	req, _ := http.NewRequest("POST", base+"/run-stream", bytes.NewReader(payload))
	req.Header.Set("Authorization", "Bearer "+token)
	req.Header.Set("Content-Type", "application/json")
	res, err := http.DefaultClient.Do(req)
	if err != nil {
		panic(err)
	}
	defer res.Body.Close()
	out, _ := io.ReadAll(res.Body)
	fmt.Println(string(out))
}

import java.net.URI;
import java.net.http.*;

public class Main {
    static final String BASE  = "https://api.skillsafe.ai/v1/app-api";
    static final String TOKEN = "YOUR_TOKEN"; // from /tokens.html

    public static void main(String[] args) throws Exception {
        String payload = """
{
  "task": "motion",
  "board": "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals": "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode": "EP001",
  "form": "live",
  "prompt_language": "en",
  "language": "zh"
}
""";
        HttpRequest req = HttpRequest.newBuilder()
            .uri(URI.create(BASE + "/run-stream"))
            .header("Authorization", "Bearer " + TOKEN)
            .header("Content-Type", "application/json")
            .method("POST", HttpRequest.BodyPublishers.ofString(payload))
            .build();
        HttpResponse<String> res = HttpClient.newHttpClient()
            .send(req, HttpResponse.BodyHandlers.ofString());
        System.out.println(res.body());
    }
}

require 'net/http'
require 'json'
require 'uri'

BASE  = "https://api.skillsafe.ai/v1/app-api"
TOKEN = "YOUR_TOKEN" # from /tokens.html

payload = {
  "task": "motion",
  "board": "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals": "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode": "EP001",
  "form": "live",
  "prompt_language": "en",
  "language": "zh"
}

uri = URI("#{BASE}/run-stream")
req = Net::HTTP::Post.new(uri)
req["Authorization"] = "Bearer #{TOKEN}"
req["Content-Type"] = "application/json"
req.body = JSON.dump(payload)
res = Net::HTTP.start(uri.hostname, uri.port, use_ssl: true) { |h| h.request(req) }
puts JSON.pretty_generate(JSON.parse(res.body)["data"])

<?php
$base  = "https://api.skillsafe.ai/v1/app-api";
$token = "YOUR_TOKEN"; // from /tokens.html

$payload = json_encode([
  "task" => "motion",
  "board" => "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals" => "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode" => "EP001",
  "form" => "live",
  "prompt_language" => "en",
  "language" => "zh"
]);

$opts = ["http" => [
    "method"  => "POST",
    "header"  => "Authorization: Bearer $token\r\nContent-Type: application/json\r\n",
    "content" => $payload,
]];
$res  = file_get_contents($base . "/run-stream", false, stream_context_create($opts));
$json = json_decode($res, true);
print_r($json["data"]);

using System.Net.Http;
using System.Text;

const string Base  = "https://api.skillsafe.ai/v1/app-api";
const string Token = "YOUR_TOKEN"; // from /tokens.html

var http = new HttpClient();
http.DefaultRequestHeaders.Add("Authorization", $"Bearer {Token}");

var payload = """
{
  "task": "motion",
  "board": "# EP001 分镜\n\n## SHOT-EP001-003 被照亮的段落\n\n- 对应场次：EP001-SC003\n- 输入参考图：无\n",
  "visuals": "苏晚：二十八岁，深色长发束起，米色风衣。",
  "episode": "EP001",
  "form": "live",
  "prompt_language": "en",
  "language": "zh"
}
""";
var content = new StringContent(payload, Encoding.UTF8, "application/json");
var res = await http.SendAsync(new HttpRequestMessage(new HttpMethod("POST"), Base + "/run-stream")
{
    Content = content
});
Console.WriteLine(await res.Content.ReadAsStringAsync());

6. Read the result

output.output is Markdown in the envelope this app's system prompt guarantees: every section is a level-two heading spelled exactly as listed in the lane table above, in that order; tables are GitHub pipe tables with the declared columns; prompts are in fenced blocks opened with three backticks and the word text; checklists are - [x] lines.

So parsing is a split on /^## / - but do it fence-aware, because a prompt block can legitimately contain a line starting with ##. Count the sections you got against the ones the lane declares: a short list means the run was truncated, not that the contract changed.

def sections(md):
    out, name, buf, fence = {}, None, [], False
    for line in md.split("\n"):
        if line.lstrip().startswith("```"):
            fence = not fence
        if not fence and line.startswith("## "):
            if name:
                out[name] = "\n".join(buf).strip()
            name, buf = line[3:].strip(), []
            continue
        if name:
            buf.append(line)
    if name:
        out[name] = "\n".join(buf).strip()
    return out

The artifact most callers want is the document itself: a four-backtick markdown block inside ## Episode Script, ## Storyboard Document or ## Motion Document, saved as 剧本.md, 分镜.md or 视频提示词.md. It is four backticks because the documents contain their own three-backtick blocks - parse the outer fence by length, not by toggling on every ```, or you will truncate at the first shot.

Rate limits and good manners

/estimate and /me are free. Call them as much as you like, within reason.
A 429 means back off with a delay, not retry immediately.
Send an Idempotency-Key on every /run. Derive it from a hash of the body plus an attempt counter, so a retry of the same request reuses the key and a deliberate re-run gets a new one.
The five-document checker in the web app is client-side only and has no endpoint. Its rules are published in llms.txt so you can encode the same checks in your own pipeline. Its findings are sent with every run that has a document to check, as prescan, and the system prompt requires answering them.