API Dokümantasyonu

from openai import OpenAI
import os

client = OpenAI(base_url="{{BASE}}", api_key=os.environ["GATEWAY_API_KEY"])
yanit = client.chat.completions.create(
    model="luna",
    messages=[
        {"role": "system", "content": "Kısa yanıt ver."},
        {"role": "user", "content": "Merhaba"},
    ],
)
print(yanit.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "{{BASE}}",
  apiKey: process.env.GATEWAY_API_KEY,
});
const yanit = await client.chat.completions.create({
  model: "luna",
  messages: [{ role: "user", content: "Merhaba" }],
});
console.log(yanit.choices[0].message.content);

curl {{BASE}}/chat/completions \
  -H "Authorization: Bearer $GATEWAY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"luna","messages":[{"role":"user","content":"Merhaba"}]}'

import base64

with open("gorsel.jpg", "rb") as f:
    veri = base64.b64encode(f.read()).decode()

yanit = client.chat.completions.create(
    model="luna",
    messages=[{
        "role": "user",
        "content": [
            {"type": "text", "text": "Bu görselde ne yazıyor?"},
            {"type": "image_url", "image_url": {"url": "data:image/jpeg;base64," + veri}},
        ],
    }],
)

yanit = client.chat.completions.create(
    model="luna",
    messages=[{"role": "user", "content": "Kısa bir gönderi başlığı ve 3 madde yaz."}],
    response_format={
        "type": "json_schema",
        "json_schema": {
            "name": "gonderi",
            "strict": True,
            "schema": {
                "type": "object",
                "properties": {
                    "baslik": {"type": "string"},
                    "maddeler": {"type": "array", "items": {"type": "string"}},
                },
                "required": ["baslik", "maddeler"],
                "additionalProperties": False,
            },
        },
    },
)