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MonsterAPIs provides access to generative AI model APIs at 80% lower costs. Connect to MonsterAPI LLM APIs seamlessly through Portkey's AI gateway.

Monster API

Portkey provides a robust and secure gateway to facilitate the integration of various Large Language Models (LLMs) into your applications, including MonsterAPI APIs.

With Portkey, you can take advantage of features like fast AI gateway access, observability, prompt management, and more, all while ensuring the secure management of your LLM API keys through a virtual key system.

{% hint style="info" %} Provider Slug**: monsterapi** {% endhint %}

Portkey SDK Integration with MonsterAPI Models

Portkey provides a consistent API to interact with models from various providers. To integrate MonsterAPI with Portkey:

1. Install the Portkey SDK

Add the Portkey SDK to your application to interact with MonsterAPI's API through Portkey's gateway.

{% tabs %} {% tab title="NodeJS" %}

npm install --save portkey-ai

{% endtab %}

{% tab title="Python" %}

pip install portkey-ai

{% endtab %} {% endtabs %}

2. Initialize Portkey with the Virtual Key

To use Monster API with Portkey, get your API key from here, then add it to Portkey to create the virtual key.

{% tabs %} {% tab title="NodeJS SDK" %}

import Portkey from 'portkey-ai'
 
const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY", // defaults to process.env["PORTKEY_API_KEY"]
    virtualKey: "VIRTUAL_KEY" // Your MonsterAPI Virtual Key
})

{% endtab %} {% endtabs %}

3. Invoke Chat Completions with MonsterAPI

Use the Portkey instance to send requests to MonsterAPI. You can also override the virtual key directly in the API call if needed.

{% tabs %} {% tab title="NodeJS SDK" %}

const chatCompletion = await portkey.chat.completions.create({
    messages: [{ role: 'user', content: 'Say this is a test' }],
    model: 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
});

console.log(chatCompletion.choices);

{% endtab %}

{% tab title="Python SDK" %}

completion = portkey.chat.completions.create(
    messages= [{ "role": 'user', "content": 'Say this is a test' }],
    model= 'mistral-medium'
)

print(completion)

{% endtab %} {% endtabs %}

Managing MonsterAPI Prompts

You can manage all prompts to MonsterAPI in the Prompt Library. All the current models of MonsterAPI are supported and you can easily start testing different prompts.

Once you're ready with your prompt, you can use the portkey.prompts.completions.create interface to use the prompt in your application.

Supported Models

Find the latest list of supported models here.

Next Steps

The complete list of features supported in the SDK are available on the link below.

{% content-ref url="../../api-reference/portkey-sdk-client.md" %} portkey-sdk-client.md {% endcontent-ref %}

You'll find more information in the relevant sections:

  1. Add metadata to your requests
  2. Add gateway configs to your MonsterAPI requests
  3. Tracing MonsterAPI requests
  4. Setup a fallback from OpenAI to MonsterAPI APIs