OpenAI: GPT-6 Luna Decisions - API لـمصر، بالجنيه المصري
مباشرgpt-6-luna-decisionsGPT-6 Luna Decisions is GPT-6 Luna served through OpenAI's Decisions API.
Modality
قرار
Context window
1M Tokens
أقصى Output
945K Tokens
المنطقة
US
منشور
12 أكتوبر 2026
الأسعار
Input
5.88
ج.م لكل 1M Tokens
Output
مجاني
ج.م لكل 1M Tokens
مثال على التكلفة الشهرية
294.04 ج.م
تقدير توضيحي: 50M Input tokens و15M Output tokens شهريًا وفق أسعار هذا الـ Model في الكتالوج.
استخدمه عبر واجهة API
OpenAI: GPT-6 Luna Decisions هو Model قرارات: أرسل المحتوى المطلوب الحكم عليه مع أسئلة محددة النوع (نعم/لا، أو اختيار من متعدد، أو درجة) لتحصل على إجابة محددة النوع لكل سؤال، مع احتمالات حقيقية. استدعِه باستخدام OpenAI SDK على /v1/decisions، أو باستخدام TypeSafe SDK على /v1/systemone مع الـ Base URL https://backend.sovereigneg.com. اقرأ دليل Decisions.
تشغيل خدمات الذكاء الاصطناعي
POST /v1/decisions — Decisions متوافق مع OpenAI: استخدم client.decisions.create في أي OpenAI SDK أو في seg-sdk. ويجيب الـ Model نفسه أيضًا على /v1/systemone عبر TypeSafe SDK.
from seg import SEG # pip install seg-sdk
client = SEG(api_key="YOUR_API_KEY")
decision = client.decisions.create(
model="gpt-6-luna-decisions",
input="I paid for my order twice and it still has not arrived after a week.",
questions=[
{
"type": "predicate",
"name": "refund",
"instructions": "Is the customer asking for money back?",
},
{
"type": "choice",
"name": "team",
"instructions": "Which team should handle this?",
"choices": [
{"value": "billing", "description": "Charges, refunds, invoices"},
{"value": "shipping", "description": "Delivery and tracking"},
{"value": "technical", "description": "Bugs and outages"},
],
},
{
"type": "score",
"name": "urgency",
"instructions": "How urgent is this?",
"levels": [{"label": "Can wait"}, {"label": "Handle today"}, {"label": "Handle now"}],
},
],
)
refund, team, urgency = decision.answers
print(refund.probability) # probability of yes, 0-1
print(team.choice) # e.g. "billing"
print(urgency.score) # 0-2, can land between levelsfrom openai import OpenAI
client = OpenAI(api_key="YOUR_API_KEY", base_url="https://backend.sovereigneg.com/v1")
decision = client.decisions.create(
model="gpt-6-luna-decisions",
input="I paid for my order twice and it still has not arrived after a week.",
questions=[
{
"type": "predicate",
"name": "refund",
"instructions": "Is the customer asking for money back?",
},
{
"type": "choice",
"name": "team",
"instructions": "Which team should handle this?",
"choices": [
{"value": "billing", "description": "Charges, refunds, invoices"},
{"value": "shipping", "description": "Delivery and tracking"},
{"value": "technical", "description": "Bugs and outages"},
],
},
{
"type": "score",
"name": "urgency",
"instructions": "How urgent is this?",
"levels": [{"label": "Can wait"}, {"label": "Handle today"}, {"label": "Handle now"}],
},
],
)
refund, team, urgency = decision.answers
print(refund.probability) # probability of yes, 0-1
print(team.choice) # e.g. "billing"
print(urgency.score) # 0-2, can land between levelsimport OpenAI from "openai";
const client = new OpenAI({ apiKey: "YOUR_API_KEY", baseURL: "https://backend.sovereigneg.com/v1" });
const decision = await client.decisions.create({
model: "gpt-6-luna-decisions",
input: "I paid for my order twice and it still has not arrived after a week.",
questions: [
{
type: "predicate",
name: "refund",
instructions: "Is the customer asking for money back?",
},
{
type: "choice",
name: "team",
instructions: "Which team should handle this?",
choices: [
{ value: "billing", description: "Charges, refunds, invoices" },
{ value: "shipping", description: "Delivery and tracking" },
{ value: "technical", description: "Bugs and outages" },
],
},
{
type: "score",
name: "urgency",
instructions: "How urgent is this?",
levels: [{ label: "Can wait" }, { label: "Handle today" }, { label: "Handle now" }],
},
],
});
const [refund, team, urgency] = decision.answers;
console.log(refund.probability); // probability of yes, 0-1
console.log(team.choice); // e.g. "billing"
console.log(urgency.score); // 0-2, can land between levelscurl https://backend.sovereigneg.com/v1/decisions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-6-luna-decisions",
"input": "I paid for my order twice and it still has not arrived after a week.",
"questions": [
{
"type": "predicate",
"name": "refund",
"instructions": "Is the customer asking for money back?"
},
{
"type": "choice",
"name": "team",
"instructions": "Which team should handle this?",
"choices": [
{ "value": "billing", "description": "Charges, refunds, invoices" },
{ "value": "shipping", "description": "Delivery and tracking" },
{ "value": "technical", "description": "Bugs and outages" }
]
},
{
"type": "score",
"name": "urgency",
"instructions": "How urgent is this?",
"levels": [{ "label": "Can wait" }, { "label": "Handle today" }, { "label": "Handle now" }]
}
]
}'الأسئلة الشائعة
كم تكلفة OpenAI: GPT-6 Luna Decisions؟
5.88 ج.م لكل 1M من Input tokens؛ الـ Output tokens مجانية. يُحتسب الاستخدام لكل Token بالجنيه المصري، بلا أي التزام بحد أدنى.
ما حجم الـ Context window في OpenAI: GPT-6 Luna Decisions؟
يدعم OpenAI: GPT-6 Luna Decisions Context window بحجم 1,050,000 Tokens (1M)، ويُخرج حتى 945,000 Output tokens في الاستجابة الواحدة.
أين يُستضاف OpenAI: GPT-6 Luna Decisions؟
يُخدَم OpenAI: GPT-6 Luna Decisions من US (مستضاف في الولايات المتحدة).
كيف أستخدم OpenAI: GPT-6 Luna Decisions عبر واجهة API؟
OpenAI: GPT-6 Luna Decisions هو Model قرارات. أرسل المحتوى المطلوب الحكم عليه مع أسئلة محددة النوع (نعم/لا، أو اختيار من متعدد، أو درجة) إلى Endpoint /v1/decisions مع Model ID gpt-6-luna-decisions ومفتاح API الخاص بك، باستخدام client.decisions.create في أي OpenAI SDK، أو seg-sdk الخاص بـ SovereignEG، مع الـ Base URL https://backend.sovereigneg.com/v1. ويجيب الـ Model نفسه أيضًا على Endpoint /v1/systemone المتوافق مع TypeSafe، لذا يعمل TypeSafe SDK مع الـ Base URL https://backend.sovereigneg.com.