Driving Aspect 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 |
|---|---|---|---|
plan | Decide the canvas before the assets arrive | brief, known | Summary, The Sheet, The Canvas, Reasoning, Next Step |
check | What these assets do on this canvas | sheet, symptom | Summary, Verdict, Findings, Corrected Sheet, Next Step |
shape | Which shape each thing actually is | sheet, looks | Summary, The Three Numbers, What Each Asset Is, The Options, Next Step |
fit | What fitting costs, asset by asset | sheet, subject | Summary, Bars Or Crop, What Fitting Costs, The Options, Next Step |
deliver | Decide what actually changes | sheet, fixed | Summary, Ships As It Is, Fix In The Timeline, Get It Again, Next Step |
Only task and the lane's own required fields are mandatory: sheet on
check, shape, fit and deliver; brief on plan. Every field is a string - there
are no number fields on this app. The sheet is two blocks, CANVAS and ASSETS, and the grammar
is in /llms.txt and in the free panel on the app itself.
An asset row is id | what it is | WxH, then any of par R - the pixel
aspect, written as 4/3, 4:3 or 1.3333 - says
R, the display aspect the file itself declares, and burned, meaning the
asset has already been scaled to square pixels. An omitted par means
square is assumed, and the reply reports that as an assumption rather than as a
reading, because an asset that needed a correction and did not get one simply looks like a
slightly wrong crop.
The canvas takes width, height and its own par, and
only the first two are required. A canvas with non-square pixels means every asset
has to be corrected into the canvas's pixel aspect rather than into square pixels,
which is a different sum and one almost no tool does by default. A canvas with no assets is a
valid sheet: the canvas arithmetic is still worth reporting. Display aspect is width
times pixel aspect over height - so 1440x1080 counts as 4:3 and is 16:9, and a
says value that disagrees with that by more than three percent is reported as a
contradiction. The threshold is loose on purpose: the 702-versus-720 question moves a
standard-definition display aspect by about two percent, and a tighter test would call every
correct PAL file a liar.
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 check and shape lanes rather than shorten
them - a findings table, a corrected sheet and a table with a row per asset is several thousand
characters before the reasoning starts.
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. |
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", "aspect-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": "check",
"sheet": "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom": "faces look narrow in the archive shots and nowhere else",
"rules": "<the working rules for this lane, sent by the app>"
}'
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", "aspect-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": "check",
"sheet": "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom": "faces look narrow in the archive shots and nowhere else",
"rules": "<the working rules for this lane, sent by the app>"
}
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": "check",
"sheet": "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom": "faces look narrow in the archive shots and nowhere else",
"rules": "<the working rules for this lane, sent by the app>"
};
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": "check",
"sheet": "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom": "faces look narrow in the archive shots and nowhere else",
"rules": "<the working rules for this lane, sent by the app>"
}`)
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": "check",
"sheet": "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom": "faces look narrow in the archive shots and nowhere else",
"rules": "<the working rules for this lane, sent by the app>"
}
""";
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": "check",
"sheet": "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom": "faces look narrow in the archive shots and nowhere else",
"rules": "<the working rules for this lane, sent by the app>"
}
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" => "check",
"sheet" => "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom" => "faces look narrow in the archive shots and nowhere else",
"rules" => "<the working rules for this lane, sent by the app>"
]);
$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": "check",
"sheet": "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom": "faces look narrow in the archive shots and nowhere else",
"rules": "<the working rules for this lane, sent by the app>"
}
""";
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": "check",
"sheet": "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom": "faces look narrow in the archive shots and nowhere else",
"rules": "<the working rules for this lane, sent by the app>"
}'
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", "aspect-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": "check",
"sheet": "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom": "faces look narrow in the archive shots and nowhere else",
"rules": "<the working rules for this lane, sent by the app>"
}
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": "check",
"sheet": "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom": "faces look narrow in the archive shots and nowhere else",
"rules": "<the working rules for this lane, sent by the app>"
};
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": "check",
"sheet": "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom": "faces look narrow in the archive shots and nowhere else",
"rules": "<the working rules for this lane, sent by the app>"
}`)
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": "check",
"sheet": "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom": "faces look narrow in the archive shots and nowhere else",
"rules": "<the working rules for this lane, sent by the app>"
}
""";
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": "check",
"sheet": "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom": "faces look narrow in the archive shots and nowhere else",
"rules": "<the working rules for this lane, sent by the app>"
}
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" => "check",
"sheet" => "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom" => "faces look narrow in the archive shots and nowhere else",
"rules" => "<the working rules for this lane, sent by the app>"
]);
$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": "check",
"sheet": "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom": "faces look narrow in the archive shots and nowhere else",
"rules": "<the working rules for this lane, sent by the app>"
}
""";
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 $SKILLSAFE_TOKEN" \
-H "Content-Type: application/json" \
-H "Accept: text/event-stream" \
-H "Idempotency-Key: cbd-$(date +%s)" \
-d '{
"task": "check",
"sheet": "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom": "faces look narrow in the archive shots and nowhere else",
"rules": "<the working rules for this lane, sent by the app>"
}'
import json, urllib.request
TOKEN = "YOUR_TOKEN"
BASE = "https://api.skillsafe.ai/v1/app-api"
payload = {
"task": "check",
"sheet": "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom": "faces look narrow in the archive shots and nowhere else",
"rules": "<the working rules for this lane, sent by the app>"
}
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", "cbd-demo-1")
req.add_header("User-Agent", "aspect-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": "check",
"sheet": "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom": "faces look narrow in the archive shots and nowhere else",
"rules": "<the working rules for this lane, sent by the app>"
};
const res = await fetch(BASE + "/run-stream", {
method: "POST",
headers: {
"Authorization": `Bearer ${TOKEN}`,
"Content-Type": "application/json",
"Idempotency-Key": "cbd-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": "check",
"sheet": "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom": "faces look narrow in the archive shots and nowhere else",
"rules": "<the working rules for this lane, sent by the app>"
}`)
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": "check",
"sheet": "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom": "faces look narrow in the archive shots and nowhere else",
"rules": "<the working rules for this lane, sent by the app>"
}
""";
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": "check",
"sheet": "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom": "faces look narrow in the archive shots and nowhere else",
"rules": "<the working rules for this lane, sent by the app>"
}
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" => "check",
"sheet" => "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom" => "faces look narrow in the archive shots and nowhere else",
"rules" => "<the working rules for this lane, sent by the app>"
]);
$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": "check",
"sheet": "<a CANVAS block and an ASSETS block - the grammar is in /llms.txt>",
"symptom": "faces look narrow in the archive shots and nowhere else",
"rules": "<the working rules for this lane, sent by the app>"
}
""";
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 fenced json block inside
## Beats File or ## Repaired File - that is the file the assembly runs
from, and it is valid JSON on its own. The text blocks under
## Poster Prompt and ## Motion Prompt are what you paste into an image
or video model.
Rate limits and good manners
/estimateand/meare free. Call them as much as you like, within reason.- A 429 means back off with a delay, not retry immediately.
- Send an
Idempotency-Keyon 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 engine in the web app is client-side only and has no endpoint. What it computes is
published in full in llms.txt - the display aspect as
width x pixel aspect / height, the bars when fitted as1 - narrower / widerand the picture lost when filled as the same fraction on the other axis, and the burned-in width asround(width x pixel aspect)nudged even for 4:2:0 - so you can compute every figure this app produces in your own pipeline without it. It is arithmetic on declared numbers: it has not seen a picture, it cannot tell a squeeze from a raster because 4/3 is both HDV and a 1.33x anamorphic lens, it cannot tell which of two disagreeing numbers is right, and it does not know where the subject is. The canvas as all three of its numbers, and per asset the storage aspect, the pixel aspect, the display aspect, what a tool reading only the dimensions would get instead, the burn-in rounding and the fit-against-fill figures, are all sent with every run asprescan, and the system prompt requires answering them.