Predibase

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

curl https://aigw.portkey.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $PORTKEY_API_KEY" \
  -d '{
    "model": "@predibase/llama-3-8b-instruct",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from openai import OpenAI

# 1. Install: pip install openai
# 2. Add @predibase provider in model catalog
# 3. Use it:

client = OpenAI(
    api_key="PORTKEY_API_KEY",  # AI Gateway API key
    base_url="https://aigw.portkey.ai/v1"
)

response = client.chat.completions.create(
    model="@predibase/llama-3-8b-instruct",
    messages=[{"role": "user", "content": "Hello!"}]
)

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

import OpenAI from "openai"

// 1. Install: npm install openai
// 2. Add @predibase provider in model catalog
// 3. Use it:

const client = new OpenAI({
    apiKey: "PORTKEY_API_KEY",  // AI Gateway API key
    baseURL: "https://aigw.portkey.ai/v1"
})

const response = await client.chat.completions.create({
    model: "@predibase/llama-3-8b-instruct",
    messages: [{ role: "user", content: "Hello!" }]
})

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