OpenAI SDK با API فارسی 1ai؛ نمونه کد Python و Node.js

# pip install openai
import os
from openai import OpenAI

client = OpenAI(base_url='https://1ai.ir/v1', api_key=os.environ['ONEAI_API_KEY'])

reply = client.chat.completions.create(
    model='anthropic/claude-sonnet-5.5',
    messages=[{'role': 'user', 'content': 'خودت را در یک جمله معرفی کن.'}],
)
print(reply.choices[0].message.content)

// npm install openai
import OpenAI from 'openai';

const client = new OpenAI({ baseURL: 'https://1ai.ir/v1', apiKey: process.env.ONEAI_API_KEY });

const reply = await client.chat.completions.create({
  model: 'google/gemini-3.8-flash',
  messages: [{ role: 'user', content: 'خودت را در یک جمله معرفی کن.' }],
});
console.log(reply.choices[0].message.content);

stream = client.chat.completions.create(
    model='deepseek/deepseek-v4.1-flash',
    messages=[{'role': 'user', 'content': 'یک شعر کوتاه درباره‌ی باران بنویس.'}],
    stream=True,
    stream_options={'include_usage': True},
)
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end='')
    if chunk.usage:
        print('\n', chunk.usage)  # includes credits

import json

tools = [{'type': 'function', 'function': {
    'name': 'get_order_status',
    'description': 'Get the status of an order by its number',
    'parameters': {'type': 'object', 'properties': {'order_id': {'type': 'string'}}, 'required': ['order_id']},
}}]
messages = [{'role': 'user', 'content': 'سفارش 1024 کجاست؟'}]

first = client.chat.completions.create(model='openai/gpt-6.1-sol', messages=messages, tools=tools)
call = first.choices[0].message.tool_calls[0]
args = json.loads(call.function.arguments)
result = {'order_id': args['order_id'], 'status': 'shipped'}

messages += [first.choices[0].message, {'role': 'tool', 'tool_call_id': call.id, 'content': json.dumps(result)}]
final = client.chat.completions.create(model='openai/gpt-6.1-sol', messages=messages, tools=tools)
print(final.choices[0].message.content)

import base64

emb = client.embeddings.create(model='openai/text-embedding-3-small', input=['سلام دنیا', 'hello world'])
print(len(emb.data[0].embedding))

img = client.images.generate(model='openai/gpt-image-2', prompt='A Persian teahouse at sunset, flat illustration', size='1024x1024')
open('teahouse.png', 'wb').write(base64.b64decode(img.data[0].b64_json))

with client.audio.speech.with_streaming_response.create(model='openai/tts-1', voice='alloy', input='سلام، خوش آمدید.') as res:
    res.stream_to_file('welcome.mp3')

text = client.audio.transcriptions.create(model='openai/whisper-1', file=open('voice.m4a', 'rb'))
print(text.text)

# pip install langchain-openai
from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
    model='anthropic/claude-sonnet-5.5',
    base_url='https://1ai.ir/v1',
    api_key=os.environ['ONEAI_API_KEY'],
    use_responses_api=False,
)
print(llm.invoke('سه ایده برای نام یک کافه بده.').content)

raw = client.chat.completions.with_raw_response.create(model='openai/gpt-5.4-mini', messages=[{'role': 'user', 'content': 'Hi'}])
print(raw.headers.get('x-1ai-credits'))
reply = raw.parse()