YepAPI
AI Models

GPT-6 Astra

OpenAI's GPT-6 flagship for demanding end-to-end work — advanced analysis, software engineering, deep research and document creation, with a 1M token context window and 128K output tokens.

POST/v1/ai/chat
$0.01/call

Overview

OpenAI's GPT-6 flagship for demanding end-to-end work — advanced analysis, software engineering, deep research and document creation, with a 1M token context window and 128K output tokens.

PropertyValue
Model IDopenai/gpt-6-astra
Context Window1,050,000 tokens
Max Output128,000 tokens
Input Price$10.00 / 1M tokens
Output Price$50.00 / 1M tokens

Usage

const res = await fetch('https://api.yepapi.com/v1/ai/chat', {
  method: 'POST',
  headers: {
    'x-api-key': 'YOUR_API_KEY',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    model: 'openai/gpt-6-astra',
    messages: [{ role: 'user', content: 'Plan a migration from a monolithic Express API to a modular service layout.' }],
  }),
});
const { data } = await res.json();
console.log(data.message.content);
curl -X POST https://api.yepapi.com/v1/ai/chat \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "openai/gpt-6-astra", "messages": [{"role": "user", "content": "Plan a migration from a monolithic Express API to a modular service layout."}]}'

Request Body

ParameterTypeRequiredDescriptionDefault
modelstringYesModel ID (e.g. openai/gpt-6-astra)—
messagesMessage[]YesArray of { role, content } objects—
maxTokensnumberNoMaximum tokens in the responseModel default
temperaturenumberNoSampling temperature (0.0–2.0)1.0
topPnumberNoNucleus sampling threshold1.0
frequencyPenaltynumberNoPenalize repeated tokens0
presencePenaltynumberNoPenalize tokens already present0
streambooleanNoEnable SSE streamingfalse
Info

All AI models use the /v1/ai/chat endpoint. Specify the model with the model field.

Response

{
  "ok": true,
  "data": {
    "model": "openai/gpt-6-astra",
    "message": {
      "role": "assistant",
      "content": "Start by carving seams inside the monolith: introduce module boundaries with explicit interfaces, add contract tests at each boundary, then extract the lowest-risk module behind a routing shim. Migrate one module per release, gate each on the contract tests and a canary, and keep a rollback path by leaving the shim in place until the last module is out."
    },
    "usage": {
      "promptTokens": 16,
      "completionTokens": 245,
      "totalTokens": 261
    }
  }
}

Streaming

Set "stream": true to receive Server-Sent Events. Each chunk contains a delta object:

data: {"delta":{"content":"Use"},"model":"openai/gpt-6-astra","index":0}
data: [DONE]
Under the Hood

We handle auth, billing, and response normalization — you just send messages.

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