Getting started with AI Gateway

Portkey is the Control Panel for AI apps. With it’s popular AI Gateway and Observability Suite, hundreds of teams ship reliable, cost-efficient, and fast apps.

Quickstart

Since Portkey is fully compatible with the OpenAI signature, you can connect to the Portkey AI Gateway through OpenAI Client.

• Set the base_url as PORTKEY_GATEWAY_URL
• Add default_headers to consume the headers needed by Portkey using the createHeaders helper method.

Python

Install the OpenAI and Portkey SDK

pip install -qU portkey-ai openai

Create the client

import os
from openai import OpenAI
from portkey_ai import PORTKEY_GATEWAY_URL, createHeaders

client = OpenAI(
  api_key=os.environ.get("OPENAI_API_KEY"),
  base_url=PORTKEY_GATEWAY_URL, # 👈 or 'http://localhost:8787/v1'
  default_headers=createHeaders(
    provider="openai", # 👈 or 'anthropic', 'together-ai', 'stability-ai', etc
    api_key=os.environ.get("PORTKEY_API_KEY") # 👈 skip when self-hosting
  )
)

JavaScript / TypeScript

Install the OpenAI and Portkey SDK

npm install --save openai portkey-ai

Create the client

import OpenAI from 'openai';

import { PORTKEY_GATEWAY_URL, createHeaders } from 'portkey-ai'

const openai = new OpenAI({
  apiKey: 'OPENAI_API_KEY', // defaults to process.env["OPENAI_API_KEY"],
  baseURL: PORTKEY_GATEWAY_URL, // 👈 or 'http://localhost:8787/v1'
  defaultHeaders: createHeaders({
    provider: "openai", // 👈 or 'anthropic', 'together-ai', 'stability-ai', etc
    apiKey: "PORTKEY_API_KEY" // 👈 skip when self-hosting
  })
});

cURL

• Replace the base URL to reflect the AI Gateway (http://localhost:8787/v1 when running locally or https://api.portkey.ai/v1 when using the hosted version)
• Add the relevant headers to enable the AI gateway features.

Other SDKs

1. Replace the base URL to reflect the AI Gateway (http://localhost:8787/v1 when running locally or https://api.portkey.ai/v1 when using the hosted version)
2. Add the relevant headers to enable the AI gateway features.

Examples

OpenAI Chat Completion

Provider: openai

Model being tested here: gpt-4o-mini

Python

import os
from openai import OpenAI
from portkey_ai import PORTKEY_GATEWAY_URL, createHeaders

client = OpenAI(
  api_key=os.environ.get("OPENAI_API_KEY"),
  base_url=PORTKEY_GATEWAY_URL, # 👈 or 'http://localhost:8787/v1'
  default_headers=createHeaders(
    provider="openai",
    api_key=os.environ.get("PORTKEY_API_KEY") # 👈 skip when self-hosting
  )
)

client.chat.completions.create(
  model="gpt-4o-mini",
  messages=[{"role": "user", "content": "What is a fractal?"}],
)

JavaScript / TypeScript

import OpenAI from 'openai';
import { PORTKEY_GATEWAY_URL, createHeaders } from 'portkey-ai'

const openai = new OpenAI({
  apiKey: 'OPENAI_API_KEY', // defaults to process.env["OPENAI_API_KEY"],
  baseURL: PORTKEY_GATEWAY_URL, // 👈 or 'http://localhost:8787/v1'
  defaultHeaders: createHeaders({
    provider: "openai",
    apiKey: "PORTKEY_API_KEY" // 👈 skip when self-hosting
  })
});

const chatCompletion = await openai.chat.completions.create({
  messages: [{ role: 'user', content: 'Say this is a test' }],
  model: 'gpt-4o-mini',
});

cURL

curl https://api.portkey.ai/v1/chat/completions # 👈 or 'http://localhost:8787/v1'
-H "Content-Type: application/json"
-H "Authorization: Bearer $OPENAI_API_KEY"
-H "x-portkey-provider: openai"
-H "x-portkey-api-key: $PORTKEY_API_KEY" # 👈 skip when self-hosting
-d '{
    "model": "gpt-4o-mini",
    "messages": [{"role": "user","content": "What is a fractal?"}]
}'

A fractal is a complex geometric shape that can be split into parts, each of which is a reduced-scale  of the whole. Fractals are typically self-similar and independent of scale, meaning they look similar at any zoom level. They often appear in nature, in things like snowflakes, coastlines, and fern leaves. The term "fractal" was coined by mathematician Benoit Mandelbrot in 1975.

Anthropic

Provider: anthropic

Model being tested here: claude-3-5-sonnet-20240620

PythonJS/TScURL

Python

import os
from openai import OpenAI
from portkey_ai import PORTKEY_GATEWAY_URL, createHeaders

client = OpenAI(
  api_key=os.environ.get("OPENAI_API_KEY"),
  base_url=PORTKEY_GATEWAY_URL, # 👈 or 'http://localhost:8787/v1'
  default_headers=createHeaders(
    provider="anthropic",
    api_key=os.environ.get("PORTKEY_API_KEY") # 👈 skip when self-hosting
  )
)

client.chat.completions.create(
  model="claude-3-5-sonnet-20240620",
  messages=[{"role": "user", "content": "What is a fractal?"}],
  max_tokens=250
)

JavaScript / TypeScript

import OpenAI from 'openai';
import { PORTKEY_GATEWAY_URL, createHeaders } from 'portkey-ai'

const openai = new OpenAI({
  apiKey: 'OPENAI_API_KEY', // defaults to process.env["OPENAI_API_KEY"],
  baseURL: PORTKEY_GATEWAY_URL, // 👈 or 'http://localhost:8787/v1'
  defaultHeaders: createHeaders({
    provider: "anthropic",
    apiKey: "PORTKEY_API_KEY" // 👈 skip when self-hosting
  })
});

const chatCompletion = await openai.chat.completions.create({
  messages: [{ role: 'user', content: 'Say this is a test' }],
  model: 'claude-3-5-sonnet-20240620',
  max_tokens: 250
});

cURL

curl https://api.portkey.ai/v1/chat/completions # 👈 or 'http://localhost:8787/v1'
-H "Content-Type: application/json"
-H "Authorization: Bearer $OPENAI_API_KEY"
-H "x-portkey-provider: anthropic"
-H "x-portkey-api-key: $PORTKEY_API_KEY" # 👈 skip when self-hosting
-d '{
    "model": "claude-3-5-sonnet-20240620",
    "messages": [{"role": "user","content": "What is a fractal"}],
    "max_tokens": 250
}'

A fractal is a complex geometric shape that can be split into parts, each of which is a reduced-scale  of the whole. Fractals are typically self-similar and independent of scale, meaning they look similar at any zoom level. They often appear in nature, in things like snowflakes, coastlines, and fern leaves. The term "fractal" was coined by mathematician Benoit Mandelbrot in 1975.

Mistral AI

Provider: mistral-ai

Model being tested here: mistral-medium

Python

import os
from openai import OpenAI
from portkey_ai import PORTKEY_GATEWAY_URL, createHeaders

client = OpenAI(
  api_key=os.environ.get("OPENAI_API_KEY"),
  base_url=PORTKEY_GATEWAY_URL, # 👈 or 'http://localhost:8787/v1'
  default_headers=createHeaders(
    provider="mistral-ai",
    api_key=os.environ.get("PORTKEY_API_KEY") # 👈 skip when self-hosting
  )
)

client.chat.completions.create(
  model="mistral-medium",
  messages=[{"role": "user", "content": "What is a fractal?"}],
)

JavaScript / TypeScript

import OpenAI from 'openai';
import { PORTKEY_GATEWAY_URL, createHeaders } from 'portkey-ai'

const openai = new OpenAI({
  apiKey: 'OPENAI_API_KEY', // defaults to process.env["OPENAI_API_KEY"],
  baseURL: PORTKEY_GATEWAY_URL, // 👈 or 'http://localhost:8787/v1'
  defaultHeaders: createHeaders({
    provider: "mistral-ai",
    apiKey: "PORTKEY_API_KEY" // 👈 skip when self-hosting
  })
});

const chatCompletion = await openai.chat.completions.create({
  messages: [{ role: 'user', content: 'Say this is a test' }],
  model: 'mistral-medium',
});

curl

curl https://api.portkey.ai/v1/chat/completions # 👈 or 'http://localhost:8787/v1'
-H "Content-Type: application/json"
-H "Authorization: Bearer $OPENAI_API_KEY"
-H "x-portkey-provider: mistral-ai"
-H "x-portkey-api-key: $PORTKEY_API_KEY" # 👈 skip when self-hosting
-d '{
    "model": "mistral-medium",
    "messages": [{"role": "user","content": "What is a fractal"}]
}'

A fractal is a complex geometric shape that can be spl

Together AI

Provider: together-ai

Model being tested here: togethercomputer/llama-2-70b-chat

Python

import os
from openai import OpenAI
from portkey_ai import PORTKEY_GATEWAY_URL, createHeaders

client = OpenAI(
  api_key=os.environ.get("OPENAI_API_KEY"),
  base_url=PORTKEY_GATEWAY_URL, # 👈 or 'http://localhost:8787/v1'
  default_headers=createHeaders(
    provider="together-ai",
    api_key=os.environ.get("PORTKEY_API_KEY") # 👈 skip when self-hosting
  )
)

client.chat.completions.create(
  model="togethercomputer/llama-2-70b-chat",
  messages=[{"role": "user", "content": "What is a fractal?"}],
)

JavaScript / TypeScript

import OpenAI from 'openai';
import { PORTKEY_GATEWAY_URL, createHeaders } from 'portkey-ai'

const openai = new OpenAI({
  apiKey: 'OPENAI_API_KEY', // defaults to process.env["OPENAI_API_KEY"],
  baseURL: PORTKEY_GATEWAY_URL, // 👈 or 'http://localhost:8787/v1'
  defaultHeaders: createHeaders({
    provider: "together-ai",
    apiKey: "PORTKEY_API_KEY" // 👈 skip when self-hosting
  })
});

const chatCompletion = await openai.chat.completions.create({
  messages: [{ role: 'user', content: 'Say this is a test' }],
  model: 'togethercomputer/llama-2-70b-chat',
});

curl

curl https://api.portkey.ai/v1/chat/completions # 👈 or 'http://localhost:8787/v1'
-H "Content-Type: application/json"
-H "Authorization: Bearer $OPENAI_API_KEY"
-H "x-portkey-provider: together-ai"
-H "x-portkey-api-key: $PORTKEY_API_KEY" # 👈 skip when self-hosting
-d '{
    "model": "togethercomputer/llama-2-70b-chat",
    "messages": [{"role": "user","content": "What is a fractal"}]
}'

A fractal is a complex geometric shape that can be spl

Portkey Supports other Providers

Portkey supports 30+ providers and all the models within those providers. To use these different providers and models with OpenAI’s SDK, you just need to change the provider and model names in your code with their respective auth keys. It’s that easy!

If you want to see all the providers Portkey works with, check out the list of providers.

OpenAI Embeddings

PythonNodeJS

Python

import os
from openai import OpenAI
from portkey_ai import PORTKEY_GATEWAY_URL, createHeaders

client = OpenAI(
  api_key=os.environ.get("OPENAI_API_KEY"),
  base_url=PORTKEY_GATEWAY_URL, # 👈 or 'http://localhost:8787/v1'
  default_headers=createHeaders(
    provider="openai",
    api_key=os.environ.get("PORTKEY_API_KEY") # 👈 skip when self-hosting
  )
)

def get_embedding(text, model="text-embedding-3-small"):
   text = text.replace("\n", " ")
   return client.embeddings.create(input = [text], model=model).data[0].embedding

df['ada_embedding'] = df.combined.apply(lambda x: get_embedding(x, model='text-embedding-3-small'))
df.to_csv('output/embedded_1k_reviews.csv', index=False)

NodeJS

OpenAI Function Calling

OpenAI NodeJSOpenAI PythonNodeJSPythonREST

OpenAI NodeJS

import OpenAI from 'openai'; // We're using the v4 SDK
import { PORTKEY_GATEWAY_URL, createHeaders } from 'portkey-ai'

const openai = new OpenAI({
  apiKey: 'OPENAI_API_KEY', // defaults to process.env["OPENAI_API_KEY"],
  baseURL: PORTKEY_GATEWAY_URL,
  defaultHeaders: createHeaders({
    provider: "openai",
    apiKey: "PORTKEY_API_KEY" // defaults to process.env["PORTKEY_API_KEY"]
  })
});

// Generate a chat completion with streaming
async function getChatCompletionFunctions(){
  const messages = [{"role": "user", "content": "What is the weather like in Boston today?"}];
  const tools = [
      {
        "type": "function",
        "function": {
          "name": "get_current_weather",
          "description": "Get the current weather in a given location",
          "parameters": {
            "type": "object",
            "properties": {
              "location": {
                "type": "string",
                "description": "The city and state, e.g. San Francisco, CA",
              },
              "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
            },
            "required": ["location"],
          },
        }
      }
  ];

  const response = await openai.chat.completions.create({
    model: "gpt-3.5-turbo",
    messages: messages,
    tools: tools,
    tool_choice: "auto",
  });

  console.log(response)

}
await getChatCompletionFunctions();

OpenAI Python

from openai import OpenAI
from portkey_ai import PORTKEY_GATEWAY_URL, createHeaders

openai = OpenAI(
    api_key='OPENAI_API_KEY',
    base_url=PORTKEY_GATEWAY_URL,
    default_headers=createHeaders(
        provider="openai",
        api_key="PORTKEY_API_KEY"
    )
)

tools = [
  {
    "type": "function",
    "function": {
      "name": "get_current_weather",
      "description": "Get the current weather in a given location",
      "parameters": {
        "type": "object",
        "properties": {
          "location": {
            "type": "string",
            "description": "The city and state, e.g. San Francisco, CA",
          },
          "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
        },
        "required": ["location"],
      },
    }
  }
]
messages = [{"role": "user", "content": "What is the weather like in Boston today?"}]
completion = openai.chat.completions.create(
  model="gpt-3.5-turbo",
  messages=messages,
  tools=tools,
  tool_choice="auto"
)

print(completion)

NodeJS

import Portkey from 'portkey-ai';

// Initialize the Portkey client
const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY",  // Replace with your Portkey API key
    virtualKey: "VIRTUAL_KEY"   // Add your provider's virtual key
});

// Generate a chat completion with streaming
async function getChatCompletionFunctions(){
  const messages = [{"role": "user", "content": "What is the weather like in Boston today?"}];
  const tools = [
      {
        "type": "function",
        "function": {
          "name": "get_current_weather",
          "description": "Get the current weather in a given location",
          "parameters": {
            "type": "object",
            "properties": {
              "location": {
                "type": "string",
                "description": "The city and state, e.g. San Francisco, CA",
              },
              "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
            },
            "required": ["location"],
          },
        }
      }
  ];

  const response = await portkey.chat.completions.create({
    model: "gpt-3.5-turbo",
    messages: messages,
    tools: tools,
    tool_choice: "auto",
  });

  console.log(response)

}
await getChatCompletionFunctions();

Python

from portkey_ai import Portkey

# Initialize the Portkey client
portkey = Portkey(
    api_key="PORTKEY_API_KEY",  # Replace with your Portkey API key
    provider="@VIRTUAL_KEY"   # Add your provider's virtual key
)

tools = [
  {
    "type": "function",
    "function": {
      "name": "get_current_weather",
      "description": "Get the current weather in a given location",
      "parameters": {
        "type": "object",
        "properties": {
          "location": {
            "type": "string",
            "description": "The city and state, e.g. San Francisco, CA",
          },
          "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
        },
        "required": ["location"],
      },
    }
  }
]
messages = [{"role": "user", "content": "What is the weather like in Boston today?"}]
completion = portkey.chat.completions.create(
  model="gpt-3.5-turbo",
  messages=messages,
  tools=tools,
  tool_choice="auto"
)

print(completion)

cURL

curl "https://api.portkey.ai/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -H "x-portkey-provider: openai" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -d '{
  "model": "gpt-3.5-turbo",
  "messages": [
    {
      "role": "user",
      "content": "What is the weather like in Boston?"
    }
  ],
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "get_current_weather",
        "description": "Get the current weather in a given location",
        "parameters": {
          "type": "object",
          "properties": {
            "location": {
              "type": "string",
              "description": "The city and state, e.g. San Francisco, CA"
            },
            "unit": {
              "type": "string",
              "enum": ["celsius", "fahrenheit"]
            }
          },
          "required": ["location"]
        }
      }
    }
  ],
  "tool_choice": "auto"
}

OpenAI Chat-Vision

OpenAI NodeJS

import OpenAI from 'openai'; // We're using the v4 SDK
import { PORTKEY_GATEWAY_URL, createHeaders } from 'portkey-ai'

const openai = new OpenAI({
  apiKey: 'OPENAI_API_KEY', // defaults to process.env["OPENAI_API_KEY"],
  baseURL: PORTKEY_GATEWAY_URL,
  defaultHeaders: createHeaders({
    provider: "openai",
    apiKey: "PORTKEY_API_KEY" // defaults to process.env["PORTKEY_API_KEY"]
  })
});

// Generate a chat completion with streaming
async function getChatCompletionFunctions(){
  const response = await openai.chat.completions.create({
    model: "gpt-4-vision-preview",
    messages: [
      {
        role: "user",
        content: [
          { type: "text", text: "What’s in this image?" },
          {
            type: "image_url",
            image_url:
              "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
          },
        ],
      },
    ],
  });

  console.log(response)

}
await getChatCompletionFunctions();

OpenAI Python

from openai import OpenAI
from portkey_ai import PORTKEY_GATEWAY_URL, createHeaders

openai = OpenAI(
    api_key='OPENAI_API_KEY',
    base_url=PORTKEY_GATEWAY_URL,
    default_headers=createHeaders(
        provider="openai",
        api_key="PORTKEY_API_KEY"
    )
)

response = openai.chat.completions.create(
    model="gpt-4-vision-preview",
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "What’s in this image?"},
                {
                    "type": "image_url",
                    "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
                },
            ],
        }
    ],
    max_tokens=300,
)

print(completion)

NodeJS

import Portkey from 'portkey-ai';

// Initialize the Portkey client
const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY",  // Replace with your Portkey API key
    virtualKey: "VIRTUAL_KEY"   // Add your provider's virtual key
});

// Generate a chat completion with streaming
async function getChatCompletionFunctions(){
  const response = await portkey.chat.completions.create({
    model: "gpt-4-vision-preview",
    messages: [
      {
        role: "user",
        content: [
          { type: "text", text: "What’s in this image?" },
          {
            type: "image_url",
            image_url:
              "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
          },
        ],
      },
    ],
  });

  console.log(response)

}
await getChatCompletionFunctions();

Python

from portkey_ai import Portkey

# Initialize the Portkey client
portkey = Portkey(
    api_key="PORTKEY_API_KEY",  # Replace with your Portkey API key
    provider="@VIRTUAL_KEY"   # Add your provider's virtual key
)

response = portkey.chat.completions.create(
    model="gpt-4-vision-preview",
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "What’s in this image?"},
                {
                    "type": "image_url",
                    "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
                },
            ],
        }
    ],
    max_tokens=300,
)

print(completion)

cURL

curl "https://api.portkey.ai/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -H "x-portkey-provider: openai" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -d '{
    "model": "gpt-4-vision-preview",
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "What’s in this image?"
          },
          {
            "type": "image_url",
            "image_url": {
              "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
            }
          }
        ]
      }
    ],
    "max_tokens": 300
  }'

Images

OpenAI NodeJS

import OpenAI from 'openai'; // We're using the v4 SDK
import { PORTKEY_GATEWAY_URL, createHeaders } from 'portkey-ai'

const openai = new OpenAI({
  apiKey: 'OPENAI_API_KEY', // defaults to process.env["OPENAI_API_KEY"],
  baseURL: PORTKEY_GATEWAY_URL,
  defaultHeaders: createHeaders({
    provider: "openai",
    apiKey: "PORTKEY_API_KEY" // defaults to process.env["PORTKEY_API_KEY"]
  })
});

async function main() {
  const image = await openai.images.generate({
    model: "dall-e-3",
    prompt: "Lucy in the sky with diamonds"
  });

  console.log(image.data);
}

main();

OpenAI Python

from openai import OpenAI
from portkey_ai import PORTKEY_GATEWAY_URL, createHeaders
from IPython.display import display, Image

client = OpenAI(
    api_key='OPENAI_API_KEY',
    base_url=PORTKEY_GATEWAY_URL,
    default_headers=createHeaders(
        provider="openai",
        api_key="PORTKEY_API_KEY"
    )
)

image = client.images.generate(
  model="dall-e-3",
  prompt="Lucy in the sky with diamonds",
  n=1,
  size="1024x1024"
)

# Display the image
display(Image(url=image.data[0].url))

NodeJS

import Portkey from 'portkey-ai';

// Initialize the Portkey client
const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY",  // Replace with your Portkey API key
    virtualKey: "VIRTUAL_KEY"   // Add your provider's virtual key
});

async function main() {
  const image = await portkey.images.generate({
    model: "dall-e-3",
    prompt: "Lucy in the sky with diamonds"
  });

  console.log(image.data);
}

main();

Python

from portkey_ai import Portkey
from IPython.display import display, Image

# Initialize the Portkey client
portkey = Portkey(
    api_key="PORTKEY_API_KEY",  # Replace with your Portkey API key
    provider="@VIRTUAL_KEY"   # Add your provider's virtual key
)

image = portkey.images.generate(
  model="dall-e-3",
  prompt="Lucy in the sky with diamonds"
)

# Display the image
display(Image(url=image.data[0].url))

cURL

curl "https://api.portkey.ai/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -H "x-portkey-virtual-key: openai-virtual-key" \
  -d '{
    "model": "dall-e-3",
    "prompt": "Lucy in the sky with diamonds"
  }'

OpenAI Audio

Here’s an example of Text-to-Speech

OpenAI NodeJS

import fs from "fs";
import OpenAI from "openai";
import { PORTKEY_GATEWAY_URL, createHeaders } from 'portkey-ai'

const openai = new OpenAI({
  baseURL: PORTKEY_GATEWAY_URL,
  defaultHeaders: createHeaders({
    apiKey: "PORTKEY_API_KEY",
    virtualKey: "OPENAI_VIRTUAL_KEY"
  })
});

// Transcription

async function transcribe() {
  const transcription = await openai.audio.transcriptions.create({
    file: fs.createReadStream("/path/to/file.mp3"),
    model: "whisper-1",
  });

  console.log(transcription.text);
}
transcribe();

// Translation

async function translate() {
    const translation = await openai.audio.translations.create({
        file: fs.createReadStream("/path/to/file.mp3"),
        model: "whisper-1",
    });
    console.log(translation.text);
}
translate();

OpenAI Python

from openai import OpenAI
from portkey_ai import PORTKEY_GATEWAY_URL, createHeaders

client = OpenAI(
    base_url=PORTKEY_GATEWAY_URL,
    default_headers=createHeaders(
        api_key="PORTKEY_API_KEY",
        provider="@OPENAI_VIRTUAL_KEY"
    )
)

audio_file= open("/path/to/file.mp3", "rb")

# Transcription

transcription = client.audio.transcriptions.create(
  model="whisper-1",
  file=audio_file
)
print(transcription.text)

# Translation

translation = client.audio.translations.create(
  model="whisper-1",
  file=audio_file
)
print(translation.text)

cURL

For Transcriptions:

curl "https://api.portkey.ai/v1/audio/transcriptions" \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -H "x-portkey-provider: openai" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H 'Content-Type: multipart/form-data' \
  --form file=@/path/to/file/audio.mp3 \
  --form model=whisper-1

For Translations:

curl "https://api.portkey.ai/v1/audio/translations" \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -H "x-portkey-provider: openai" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H 'Content-Type: multipart/form-data' \
  --form file=@/path/to/file/audio.mp3 \
  --form model=whisper-1

OpenAI Batch - Create Batch

OpenAI Node

import OpenAI from 'openai';
import { PORTKEY_GATEWAY_URL, createHeaders } from 'portkey-ai'

const client = new OpenAI({
  baseURL: PORTKEY_GATEWAY_URL,
  defaultHeaders: createHeaders({
    apiKey: "PORTKEY_API_KEY",
    virtualKey: "PROVIDER_VIRTUAL_KEY"
  })
});

async function main() {
  const batch = await client.batches.create({
    input_file_id: "file-abc123",
    endpoint: "/v1/chat/completions",
    completion_window: "24h"
  });

  console.log(batch);
}

main();

OpenAI Python

from openai import OpenAI
from portkey_ai import PORTKEY_GATEWAY_URL, createHeaders

client = OpenAI(
    base_url=PORTKEY_GATEWAY_URL,
    default_headers=createHeaders(
        api_key="PORTKEY_API_KEY",
        provider="@PROVIDER_VIRTUAL_KEY"
    )
)

batch = client.batches.create(
  input_file_id="file-abc123",
  endpoint="/v1/chat/completions",
  completion_window="24h"
)

Portkey Node

import Portkey from 'portkey-ai';

const client = new Portkey({
  apiKey: 'PORTKEY_API_KEY',
  virtualKey: 'PROVIDER_VIRTUAL_KEY'
});

async function main() {
  const batch = await client.batches.create({
    input_file_id: "file-abc123",
    endpoint: "/v1/chat/completions",
    completion_window: "24h"
  });

  console.log(batch);
}

main();

Portkey Python

from portkey_ai import Portkey

client = Portkey(
  api_key = "PORTKEY_API_KEY",
  virtual_key = "PROVIDER_VIRTUAL_KEY"
)

batch = client.batches.create(
  input_file_id="file-abc123",
  endpoint="/v1/chat/completions",
  completion_window="24h"
)

cURL

curl https://api.portkey.ai/v1/batches \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input_file_id": "file-abc123",
    "endpoint": "/v1/chat/completions",
    "completion_window": "24h"
  }'

Files - Upload File

OpenAI Node

import fs from "fs";
import OpenAI from 'openai';
import { PORTKEY_GATEWAY_URL, createHeaders } from 'portkey-ai'

const client = new OpenAI({
  baseURL: PORTKEY_GATEWAY_URL,
  defaultHeaders: createHeaders({
    apiKey: "PORTKEY_API_KEY",
    virtualKey: "PROVIDER_VIRTUAL_KEY"
  })
});

async function main() {
  const file = await client.files.create({
    file: fs.createReadStream("mydata.jsonl"),
    purpose: "batch",
  });

  console.log(file);
}

main();

OpenAI Python

from openai import OpenAI
from portkey_ai import PORTKEY_GATEWAY_URL, createHeaders

client = OpenAI(
    base_url=PORTKEY_GATEWAY_URL,
    default_headers=createHeaders(
        api_key="PORTKEY_API_KEY",
        provider="@PROVIDER_VIRTUAL_KEY"
    )
)

upload = client.files.create(
  file=open("mydata.jsonl", "rb"),
  purpose="batch"
)

Portkey Node

import fs from "fs";
import Portkey from 'portkey-ai';

const client = new Portkey({
  apiKey: 'PORTKEY_API_KEY',
  virtualKey: 'PROVIDER_VIRTUAL_KEY'
});

async function main() {
  const file = await client.files.create({
    file: fs.createReadStream("mydata.jsonl"),
    purpose: "batch",
  });

  console.log(file);
}

main();

Portkey Python

from portkey_ai import Portkey

client = Portkey(
  api_key = "PORTKEY_API_KEY",
  virtual_key = "PROVIDER_VIRTUAL_KEY"
)

upload = client.files.create(
  file=open("mydata.jsonl", "rb"),
  purpose="batch"
)

cURL

curl https://api.portkey.ai/v1/files \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
  -F purpose="fine-tune" \
  -F file="@mydata.jsonl"