OpenAI Responses API - Helicone OSS LLM Observability

Warning

This integration method is maintained but no longer actively developed. For the best experience and latest features, use our new AI Gateway with unified API access to 100+ models.

OpenAI Responses enable you to provide text or image inputs to generate text or JSON outputs by calling your own custom code or use built-in tools like web search or file search. By integrating them with Helicone, you can monitor performance, analyze interactions, and gain valuable insights into your responses.

How to Integrate#

Create an account and generate an API key

Log into Helicone or create an account. Once you have an account, you can generate an API key here.

Set up your Helicone API key in your .env file

HELICONE_API_KEY=<your-helicone-api-key>OPENAI_API_KEY=<your-openai-api-key>

Modify the base URL path

import OpenAI from "openai";const openai = new OpenAI({  apiKey: process.env.OPENAI_API_KEY,  baseURL: "https://oai.helicone.ai/v1",  defaultHeaders: {    "Helicone-Auth": `Bearer ${process.env.HELICONE_API_KEY}`  }});

Start using OpenAI Responses API with Helicone

Note

Replace the response's model, input, and output with content relevant to your application.

const textInputResponse = await openai.responses.create({    model: "gpt-4.1",    input: "What is the meaning of life?"});console.log(textInputResponse);

Verify your requests in Helicone

With the above setup, any calls to OpenAI Responses API will automatically be logged and monitored by Helicone. Review them in your Helicone dashboard.

This step-by-step guide covers function calling, response formatting and monitoring with Helicone.

Use Chain-of-Thought Prompting

Craft effective prompts, ideal for complex responses requiring multi-step problem solving.

How to Integrate#

Related Guides#