BytePlus ModelArk

from portkey_ai import Portkey

# 1. Install: pip install portkey-ai
# 2. Add @byteplus provider in model catalog
# 3. Use it:

portkey = Portkey(api_key="PORTKEY_API_KEY")

response = portkey.chat.completions.create(
    model="@byteplus/ep-m-your-endpoint-id",
    messages=[{"role": "user", "content": "Say this is a test"}]
)

print(response.choices[0].message.content)

import Portkey from 'portkey-ai'

// 1. Install: npm install portkey-ai
// 2. Add @byteplus provider in model catalog
// 3. Use it:

const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY"
})

const response = await portkey.chat.completions.create({
    model: "@byteplus/ep-m-your-endpoint-id",
    messages: [{ role: "user", content: "Say this is a test" }]
})

console.log(response.choices[0].message.content)

from openai import OpenAI
from portkey_ai import PORTKEY_GATEWAY_URL

# 1. Install: pip install openai portkey-ai
# 2. Add @byteplus provider in model catalog
# 3. Use it:

client = OpenAI(
    api_key="PORTKEY_API_KEY",  # Portkey API key
    base_url=PORTKEY_GATEWAY_URL
)

response = client.chat.completions.create(
    model="@byteplus/ep-m-your-endpoint-id",
    messages=[{"role": "user", "content": "Say this is a test"}]
)

print(response.choices[0].message.content)

import OpenAI from "openai"
import { PORTKEY_GATEWAY_URL } from "portkey-ai"

// 1. Install: npm install openai portkey-ai
// 2. Add @byteplus provider in model catalog
// 3. Use it:

const client = new OpenAI({
    apiKey: "PORTKEY_API_KEY",  // Portkey API key
    baseURL: PORTKEY_GATEWAY_URL
})

const response = await client.chat.completions.create({
    model: "@byteplus/ep-m-your-endpoint-id",
    messages: [{ role: "user", content: "Say this is a test" }]
})

console.log(response.choices[0].message.content)

# 1. Add @byteplus provider in model catalog
# 2. Use it:

curl https://api.portkey.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -d '{
    "model": "@byteplus/ep-m-your-endpoint-id",
    "messages": [
      { "role": "user", "content": "Say this is a test" }
    ]
  }'

from portkey_ai import Portkey

portkey = Portkey(api_key="PORTKEY_API_KEY")

response = portkey.embeddings.create(
    model="@byteplus/ep-m-your-embedding-endpoint",
    input="The quick brown fox jumps over the lazy dog"
)

print(response.data[0].embedding[:5])

import Portkey from 'portkey-ai'

const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY"
})

const response = await portkey.embeddings.create({
    model: "@byteplus/ep-m-your-embedding-endpoint",
    input: "The quick brown fox jumps over the lazy dog"
})

console.log(response.data[0].embedding.slice(0, 5))

curl https://api.portkey.ai/v1/embeddings \
  -H "Content-Type: application/json" \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -d '{
    "model": "@byteplus/ep-m-your-embedding-endpoint",
    "input": "The quick brown fox jumps over the lazy dog"
  }'

from portkey_ai import Portkey

portkey = Portkey(api_key="PORTKEY_API_KEY")

image = portkey.images.generate(
    model="@byteplus/ep-m-your-image-endpoint",
    prompt="A serene landscape with mountains and a lake at sunset",
    size="1024x1024"
)

print(image.data[0].url)

import Portkey from 'portkey-ai'

const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY"
})

const image = await portkey.images.generate({
    model: "@byteplus/ep-m-your-image-endpoint",
    prompt: "A serene landscape with mountains and a lake at sunset",
    size: "1024x1024"
})

console.log(image.data[0].url)

curl https://api.portkey.ai/v1/images/generations \
  -H "Content-Type: application/json" \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -d '{
    "model": "@byteplus/ep-m-your-image-endpoint",
    "prompt": "A serene landscape with mountains and a lake at sunset",
    "size": "1024x1024"
  }'

from portkey_ai import Portkey

portkey = Portkey(api_key="PORTKEY_API_KEY")

response = portkey.responses.create(
    model="@byteplus/ep-m-your-endpoint-id",
    input="Tell me a three sentence bedtime story about a unicorn."
)

print(response)

import Portkey from 'portkey-ai'

const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY"
})

const response = await portkey.responses.create({
    model: "@byteplus/ep-m-your-endpoint-id",
    input: "Tell me a three sentence bedtime story about a unicorn."
})

console.log(response)

curl https://api.portkey.ai/v1/responses \
  -H "Content-Type: application/json" \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -d '{
    "model": "@byteplus/ep-m-your-endpoint-id",
    "input": "Tell me a three sentence bedtime story about a unicorn."
  }'