Driving Caption 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 | Choose the channel before the file is written | brief, known | Summary, The Header, The Numbers, Reasoning, Next Step |
check | Whether this file can be delivered, and whether it reads | sheet, worry | Summary, Verdict, Findings, Corrected File, Next Step |
wire | What each caption costs and when it has to start | sheet | Summary, The Budget, Cue By Cue, What Each Mode Costs, Next Step |
grid | 32 columns, 15 rows, and no thirty-third column | sheet | Summary, The Grid, Row By Row, What Positioning Costs, Next Step |
deliver | Decide what changes: the edit, the channel, or nothing | sheet, fixed | Summary, An Edit Fixes, Only The Channel Fixes, Nothing Fixes, Next Step |
Only task and the lane's own required fields are mandatory:
sheet on check, wire, grid and deliver; brief on plan. Every
field is a string - there are no number fields on this app. sheet
is the caption file itself: SRT or WebVTT, pasted unmodified, optionally with
a few KEY: value lines above the cues.
The header takes PROGRAMME, FPS, MODE,
SERVICES, ROWS, CPS and
DURATION. None is required and all of them change a number:
FPS most of all, because the byte budget is two bytes times the frame
rate and is therefore directly proportional to it. 29.97 is read as the
exact 30000/1001 rather than the decimal.
MODE is pop-on, roll-up or
paint-on. They differ only in their control codes - a pop-on
cycle pays RCL, a PAC per row, EOC and EDM; a roll-up sets its base row once and pays
a carriage return per row after the first; a paint-on writes straight to the displayed
memory. Every control code is a two-byte pair transmitted TWICE, so each one costs
four bytes, and on a busy channel that difference is what decides whether captions
arrive.
SERVICES is how many caption services share the field.
CC1 and CC2 both ride field 1 and share its two bytes a frame, so
SERVICES: 2 halves the rate for both: 29.97 B/s each instead of
59.94, and every caption takes twice as long to send. A second language is not extra
capacity.
Timecode works, but only with a rate. 00:00:04:12 is
hours, minutes, seconds and FRAMES, and a frame is only a duration once
FPS says how long one is - so a timecoded file with no rate returns an
error rather than an assumption. A semicolon (00:00:04;12) means
drop-frame, which skips LABELS and never a frame of picture, so it does not change the
byte budget at all.
Markup is counted, not ignored. <i>,
</i>, <font> and {\i1} are each a
mid-row control code, so each is another four bytes on the wire; an italic word costs
two of them. Characters outside the basic set - accents, curly quotes, dashes - are
two-byte codes rather than one byte. WebVTT cue settings such as line:
and align: are read and reported, because the 32 by 15 grid has rows and
columns and nothing else.
A BYTE COUNT is reported in bytes, a transmission in frames and in seconds, a share as a percentage to one place, and a reading speed in characters a second. The wire is frame-quantised, so frames are the smallest unit anything here has.
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,
wire and grid lanes rather than shorten them - a findings table, a corrected file, or
a row per cue, 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", "caption-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": "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry": "it graded fine last time and this one will not come clean",
"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", "caption-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": "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry": "it graded fine last time and this one will not come clean",
"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": "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry": "it graded fine last time and this one will not come clean",
"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": "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry": "it graded fine last time and this one will not come clean",
"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": "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry": "it graded fine last time and this one will not come clean",
"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": "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry": "it graded fine last time and this one will not come clean",
"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" => "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry" => "it graded fine last time and this one will not come clean",
"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": "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry": "it graded fine last time and this one will not come clean",
"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": "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry": "it graded fine last time and this one will not come clean",
"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", "caption-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": "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry": "it graded fine last time and this one will not come clean",
"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": "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry": "it graded fine last time and this one will not come clean",
"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": "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry": "it graded fine last time and this one will not come clean",
"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": "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry": "it graded fine last time and this one will not come clean",
"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": "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry": "it graded fine last time and this one will not come clean",
"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" => "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry" => "it graded fine last time and this one will not come clean",
"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": "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry": "it graded fine last time and this one will not come clean",
"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": "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry": "it graded fine last time and this one will not come clean",
"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": "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry": "it graded fine last time and this one will not come clean",
"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", "caption-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": "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry": "it graded fine last time and this one will not come clean",
"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": "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry": "it graded fine last time and this one will not come clean",
"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": "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry": "it graded fine last time and this one will not come clean",
"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": "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry": "it graded fine last time and this one will not come clean",
"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" => "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry" => "it graded fine last time and this one will not come clean",
"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": "<an SRT or WebVTT caption file; the grammar is in /llms.txt>",
"worry": "it graded fine last time and this one will not come clean",
"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 text block inside
## The Sheet or ## Corrected Sheet - that is a complete sheet in the
grammar above, so it can be fed straight back into another lane with nothing carried alongside
it. Every other section is prose and tables meant to be read.
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 - line 21 carries
2 bytes per field, field 1 passes once a frame, and the services on it share those two bytes, so one service gets2 / servicesbytes a frame and2 x fps / servicesbytes a second, which at 29.97 with one service is 59.94 B/s and 59.94 characters a second; a control code is a2-byte pair sent twice, so four bytes each, and a pop-on cycle is3 + rowspairs against roll-up's2 + rows - 1; a caption's transmission isceil(bytes / bytes-per-frame)frames; and the channel is a QUEUE, so a caption begins atmax(wire free, due - transmission)and is late by whatever that overruns - so you can compute every figure this app produces in your own pipeline without it. It is arithmetic on the file you paste: it has opened no video, encoded nothing and spoken to no inserter; the byte rate, the doubling and the 32 by 15 grid are CEA-608's rather than this page's policy; the control cycles are the standard ones and not your encoder's; the queue model gives each caption the whole service; and the reading limit is a policy you should set rather than a fact. The byte budget, the file's text and control bytes, the utilisation, the queue cue by cue with the instant each caption must start, the first cue's runway, every row against the grid, every reading speed, all three modes priced on your own file, and every finding are all sent with each run asprescan, and the system prompt requires answering them.