Helicone: artificial intelligence features and setup

Overview

Helicone is a good fit for a team running language model applications that needs visibility into cost, latency, and failures without building a monitoring system from scratch. It serves as a gateway or monitoring layer for model calls from an existing application. Before connecting a customer environment, check which request bodies are stored and how identifiers are filtered. Good monitoring does not replace having an agent or reviewer check the response content itself.

Features

• A gateway and monitoring for LLM calls
• Tracking cost, latency, and failures
• A connection for existing AI applications

Business uses

• Detecting a sharp increase in the cost of an internal chat application
• Checking response times before expanding an agent to customers

Getting started

• Route a few test calls through the gateway.
• Configure which fields are masked in the log.
• Check an unavailable provider and a repeated call.

What to check

• Check the retention policy for request and response bodies.
• Set alerts for unusual costs before broad use.