Google Gemini

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

Provider Slug: google

Portkey SDK Integration with Google Gemini Models

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

1. Install the Portkey SDK

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

NodeJS

npm install --save portkey-ai

Python

pip install portkey-ai

2. Initialize Portkey with the Virtual Key

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

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 Google Virtual Key
})

Python SDK

from portkey_ai import Portkey

portkey = Portkey(
    api_key="PORTKEY_API_KEY",  # Replace with your Portkey API key
    virtual_key="VIRTUAL_KEY"   # Replace with your virtual key for Google
)

3. Invoke Chat Completions with Google Gemini

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

NodeJS SDK

const chatCompletion = await portkey.chat.completions.create({
    messages: [
        { role: 'system', content: 'You are not a helpful assistant' },
        { role: 'user', content: 'Say this is a test' }
    ],
    model: 'gemini-pro',
});

console.log(chatCompletion.choices);

Python SDK

completion = portkey.chat.completions.create(
    messages= [
        { "role": 'system', "content": 'You are not a helpful assistant' },
        { "role": 'user', "content": 'Say this is a test' }
    ],
    model= 'gemini-pro'
)

print(completion)

Portkey supports the system_instructions parameter for Google Gemini 1.5 - allowing you to control the behavior and output of your Gemini-powered applications with ease.

Simply include your Gemini system prompt as part of the {"role":"system"} message within the messages array of your request body. Portkey Gateway will automatically transform your message to ensure seamless compatibility with the Google Gemini API.

Function Calling

Portkey supports function calling mode on Google's Gemini Models. Explore this ⬇️ Cookbook for a deep dive and examples:

Function Calling

Managing Google Gemini Prompts

You can manage all prompts to Google Gemini in the Prompt Library. All the current models of Google Gemini 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.

Next Steps

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

SDK

You'll find more information in the relevant sections:

1. Add metadata to your requests

2. Add gateway configs to your Gemini requests

3. Tracing Google Gemini requests

4. Setup a fallback from OpenAI to Gemini APIs