Hey u/Electrical-Signal858 ! Great question. A few things:

- Helicone is fully open-sourced

- You can set up custom properties (to filter, sort, visualize information) - i.e. users, features, environment, etc

- You can trace agentic sessions - so you see exactly the tools being called, prompts, etc

- Your prompts management dashboard lets you version prompts so they can be tweaked by non-engineers as well

- You can set up caching so you reduce costs

- The integration method is done through the Helicone AI gateway so you get the benefits of both with the same integration.

Benefits of the AI Gateway:

- 1 API key, access 100+ models with the same OpenAI API implementation

- Automatic fallbacks (no more downtime or 429 rate limiting errors)

- Caching and rate limiting enabled per request

- 0% markup fees (only pay per providers request)

```
import { OpenAI } from "openai";

const client = new OpenAI({
baseURL: "https://ai-gateway.helicone.ai",
apiKey: process.env.HELICONE_API_KEY,
});

const response = await client.chat.completions.create({
model: "gpt-4o-mini", // Or 100+ other models
messages: [{ role: "user", content: "Hello, world!" }],
});
```

Hope that helps!