OpenAI SDK

npm install openai

pip install openai

import OpenAI from 'openai'
 
const client = new OpenAI({
  apiKey: process.env.GATEWAY_API_KEY,
  baseURL: 'https://hypery.ai/api/v1'
})

from openai import OpenAI
 
client = OpenAI(
    api_key=os.getenv('GATEWAY_API_KEY'),
    base_url='https://hypery.ai/api/v1'
)

const response = await client.chat.completions.create({
  model: 'anthropic/claude-3.5-sonnet',
  messages: [
    { role: 'user', content: 'Hello!' }
  ]
})
 
console.log(response.choices[0].message.content)

response = client.chat.completions.create(
    model='anthropic/claude-3.5-sonnet',
    messages=[
        {'role': 'user', 'content': 'Hello!'}
    ]
)
 
print(response.choices[0].message.content)

const stream = await client.chat.completions.create({
  model: 'openai/gpt-4o',
  messages: [{ role: 'user', content: 'Tell me a story' }],
  stream: true
})
 
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content || '')
}

stream = client.chat.completions.create(
    model='openai/gpt-4o',
    messages=[{'role': 'user', 'content': 'Tell me a story'}],
    stream=True
)
 
for chunk in stream:
    print(chunk.choices[0].delta.content or '', end='')

const image = await client.images.generate({
  model: 'dall-e-3',
  prompt: 'A sunset over mountains',
  size: '1024x1024'
})
 
console.log(image.data[0].url)

response = client.images.generate(
    model='dall-e-3',
    prompt='A sunset over mountains',
    size='1024x1024'
)
 
print(response.data[0].url)

const models = await client.models.list()
 
for (const model of models.data) {
  console.log(model.id)
}

models = client.models.list()
 
for model in models.data:
    print(model.id)