Integrating Helicone with HPC-AI Tech

Helicone is an open-source observability platform for monitoring, logging, and optimizing LLM applications. By integrating Helicone with the HPC-AI Tech Model APIs platform, you can gain visibility into your AI workloads while leveraging high-performance models like MiniMax-M2.5 through a unified OpenAI-compatible API.

In this guide, we'll walk you through how to integrate Helicone with HPC-AI Tech and monitor your AI applications in minutes.

cover

🚀 Prerequisites

Before we dive in, make sure you have:

  • Helicone installed or deployed

  • An HPC-AI Tech API Key (from the Model APIs platform)

🛠️ Configuration: Choose Your Method

Helicone offers multiple ways to configure providers depending on your deployment workflow. Pick what suits you best.

Method 1: Interactive Configuration (Recommended)

Best for developers configuring Helicone through its dashboard.

Open your Helicone dashboard.

Create a new provider connection.

Configure the following:

Base URL

https://api.hpc-ai.com/inference/v1

API Key

your-hpc-ai-api-key

Select the model:

minimax/minimax-m2.5

(You can replace this with any model available on the HPC-AI Tech Model APIs platform.)

Save the configuration and begin monitoring requests.

Method 2: Config File (The Structured Way)

Best for reproducibility and production deployments.

Configure your provider:

{
  "provider": "openai-compatible",
  "baseURL": "https://api.hpc-ai.com/inference/v1",
  "apiKey": "${HPC_AI_API_KEY}",
  "model": "minimax/minimax-m2.5"
}

Store credentials securely using environment variables.

Method 3: Environment Variables (The Lightweight Way)

Best for Docker deployments or cloud environments.

export HPC_AI_API_KEY="sk-your-hpc-ai-api-key"
export OPENAI_API_BASE="https://api.hpc-ai.com/inference/v1"

Then configure your application to send requests through Helicone while using:

minimax/minimax-m2.5

as the model.

✅ Verifying the Connection

After configuration, it's important to confirm everything is working correctly.

  • Send a test API request

  • Verify the request appears in the Helicone dashboard

  • Ensure responses are returned successfully from the model

A successful response confirms:

  • Your API key is valid

  • The endpoint is reachable

  • The model is correctly configured

  • Request logging is functioning properly

🎯 Summary

By integrating Helicone with HPC-AI Tech, you unlock:

  • Access to multiple leading AI models

  • OpenAI-compatible APIs

  • Comprehensive LLM observability

  • Cost-efficient inference

  • Production-ready monitoring and analytics

Whether you're optimizing AI applications, monitoring production workloads, or improving model performance, HPC-AI Tech and Helicone provide the visibility and scalability needed for reliable AI deployments.

Happy building!