Triton

Integrate Trtiton-hosted custom models with Portkey and take them to production

Portkey provides a robust and secure platform to observe, govern, and manage your locally or privately hosted custom models using Triton.

Here’s the official Triton Inference Server documentation for more details.

Integrating Custom Models with Portkey SDK

1. Expose your Triton Server

   Expose your Triton server by using a tunneling service like ngrok or any other way you prefer. You can skip this step if you’re self-hosting the Gateway.

   ngrok http 11434 --host-header="localhost:8080"
   

2. Install the Portkey SDK

   NodeJS

   npm install --save portkey-ai
   

3. Initialize Portkey with Triton custom URL

   1. Pass your publicly-exposed Triton server URL to Portkey with customHost
   2. Set target provider as triton.

   NodeJS SDK

   import Portkey from 'portkey-ai'
   
   const portkey = new Portkey({
       apiKey: "PORTKEY_API_KEY",
       provider: "triton",
       customHost: "http://localhost:8000/v2/models/mymodel" // Your Triton Hosted URL
       Authorization: "AUTH_KEY", // If you need to pass auth
   })
   

   More on custom_host here.

4. Invoke Chat Completions

   Use the Portkey SDK to invoke chat completions (generate) from your model, just as you would with any other provider:

   NodeJS SDK

   const chatCompletion = await portkey.chat.completions.create({
       messages: [{ role: 'user', content: 'Say this is a test' }]
   });
   
   console.log(chatCompletion.choices);
   

Next Steps

Explore the complete list of features supported in the SDK:

SDK

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You’ll find more information in the relevant sections:

1. Add metadata to your requests
2. Add gateway configs to your requests
3. Tracing requests
4. Setup a fallback from triton to your local LLM