Text Completions

OpenAI-compatible text completions (legacy prompt format)

POST /v1/completions

Text Completions

cURL

curl --request POST \
  --url https://api.ajstudioz.co.in/v1/completions \
  --header 'Authorization: <authorization>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "prompt": {},
  "stream": true,
  "max_tokens": 123,
  "temperature": 123,
  "top_p": 123,
  "stop": {}
}
'

Response

{
  "id": "cmpl-d9f3kx2m",
  "object": "text_completion",
  "created": 1751760000,
  "model": "gemma3:27b",
  "choices": [
    {
      "text": " bright and full of promise. The kingdom of Verdania was known for three things: its azure mountains, its vibrant festivals, and the mysterious Oracle who lived in the ancient tower at the city's center.",
      "index": 0,
      "finish_reason": "length"
    }
  ],
  "usage": {
    "prompt_tokens": 12,
    "completion_tokens": 50,
    "total_tokens": 62
  }
}

Overview

Generate a text completion for a single prompt string. This is the legacy OpenAI-compatible format. For most use cases, prefer the Chat Completions endpoint.

Request

Headers

Authorization · string · required

Bearer token: Bearer YOUR_API_KEY

Body

model · string · required

Model identifier. See available models.

prompt · string or array · required

The prompt to complete. Can be a string or an array of strings for batch completions.

stream · boolean · default: "false"

Stream the completion as Server-Sent Events.

max_tokens · integer · default: "16"

Maximum number of tokens to generate.

temperature · number · default: "1"

Sampling temperature (0–2).

top_p · number · default: "1"

Nucleus sampling probability.

stop · string or array

Stop sequences.

---

Response

id · string

Unique completion ID.

object · string

"text_completion"

created · integer

Unix timestamp.

model · string

The model used.

choices · array

Completion results:

• text — generated text
• index — choice index
• finish_reason — "stop" or "length"

usage · object

Token usage: prompt_tokens, completion_tokens, total_tokens.

---

Example

Python

from openai import OpenAI

client = OpenAI(
    base_url="https://api.ajstudioz.co.in/v1",
    api_key="YOUR_API_KEY"
)

response = client.completions.create(
    model="gemma3:27b",
    prompt="The future of artificial intelligence is",
    max_tokens=100,
    temperature=0.8
)

print(response.choices[0].text)

Response

{
  "id": "cmpl-d9f3kx2m",
  "object": "text_completion",
  "created": 1751760000,
  "model": "gemma3:27b",
  "choices": [
    {
      "text": " bright and full of promise. The kingdom of Verdania was known for three things: its azure mountains, its vibrant festivals, and the mysterious Oracle who lived in the ancient tower at the city's center.",
      "index": 0,
      "finish_reason": "length"
    }
  ],
  "usage": {
    "prompt_tokens": 12,
    "completion_tokens": 50,
    "total_tokens": 62
  }
}