The Portkey SDK is built on top of the OpenAI SDK, allowing you to seamlessly integrate Portkey's advanced features while retaining full compatibility with OpenAI methods. With Portkey, you can enhance your interactions with OpenAI or any other OpenAI-like provider by leveraging robust monitoring, reliability, prompt management, and more features - without modifying much of your existing code.
Unified API Signature If you've used OpenAI, you already know how to use Portkey with any other provider. |
Interoperability Write once, run with any provider. Switch between any model from_any provider seamlessly. |
Automated Fallbacks & Retries Ensure your application remains functional even if a primary service fails. |
Load Balancing Efficiently distribute incoming requests among multiple models. |
Semantic Caching Reduce costs and latency by intelligently caching results. |
Virtual Keys Secure your LLM API keys by storing them in Portkey vault and using disposable virtual keys. |
Request Timeouts Manage unpredictable LLM latencies effectively by setting custom request timeouts on requests. |
Logging Keep track of all requests for monitoring and debugging. |
Requests Tracing Understand the journey of each request for optimization. |
Custom Metadata Segment and categorize requests for better insights. |
Feedbacks Collect and analyse weighted feedback on requests from users. |
Analytics Track your app & LLM's performance with 40+ production-critical metrics in a single place. |
- Sign up on Portkey and grab your Portkey API Key
- Add your OpenAI key to Portkey's Virtual Keys page and keep it handy
# Installing the SDK
$ npm install portkey-ai
$ export PORTKEY_API_KEY="PORTKEY_API_KEY"
- Portkey fully adheres to the OpenAI SDK signature. You can instantly switch to Portkey and start using our production features right out of the box.
- Just replace
import OpenAI from 'openai'
withimport Portkey from 'portkey-ai'
:
import Portkey from 'portkey-ai';
const portkey = new Portkey({
virtualKey: "VIRTUAL_KEY"
})
async function main() {
const chatCompletion = await portkey.chat.completions.create({
messages: [{ role: 'user', content: 'Say this is a test' }],
model: 'gpt-4',
});
console.log(chatCompletion.choices);
};
main();
Get started by checking out Github issues. Email us at [email protected] or just ping on Discord to chat.