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AI Evaluation & Observability

Helicone.ai

Helicone.ai is an AI application service for routing requests, debugging application behavior, and analyzing usage through a monitoring dashboard.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Helicone.ai — OpenViST project profile in AI Evaluation & Observability.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when an AI application needs a monitoring and analysis layer for request routing, debugging or usage review.

Who it is for

Teams building AI applications that need to monitor usage or investigate application behavior.

Documented uses

  • Monitor AI application usage.
  • Route AI application requests.
  • Debug AI application behavior.
  • Analyze application performance and usage.
Before you choose

Requirements & limits

The homepage advertises a free trial without a credit card.

  • The service is described as covering routing, debugging and usage analysis.
  • The available information does not specify technical implementation details or API access.
  • A free trial is advertised without a credit card; this does not establish that the full service is free.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Send OpenAI JavaScript requests through Helicone

Configure the documented OpenAI JavaScript integration to route a chat-completion request through Helicone.

Before you start

  • Node.js project using the OpenAI JavaScript library; the page shows examples for OpenAI v1 and v4+.
  • Helicone and OpenAI API keys available as HELICONE_API_KEY and OPENAI_API_KEY environment variables.

Steps

  1. Set HELICONE_API_KEY and OPENAI_API_KEY in the environment.

  2. For OpenAI v4+, create an OpenAI client with OPENAI_API_KEY, baseURL https://oai.helicone.ai/v1, and the Helicone-Auth header set to Bearer ${HELICONE_API_KEY}.

  3. Call chat.completions.create with a model and messages, then log the response.

Expected outcome

The documented JavaScript example sends a chat-completion request through Helicone and logs its response.

Guide limitations

  • This integration is maintained but no longer actively developed; the documentation recommends the AI Gateway for the best experience and latest features.
  • The page shows separate client setup examples for OpenAI v1 and v4+, so client configuration depends on the installed OpenAI library version.
Documentation 1 ↗
Evidence and transparency

Sources & review

helicone.ai ↗Guide documentation ↗
Source record details
Source availability
Active
Sources checked
7 October 2026
Original website title
Helicone / AI Gateway & LLM Observability · Official homepage title · retained in its source language
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