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Helicone

Open-source LLM observability platform for monitoring, evaluating, and improving your AI applications

★ 5,867 GitHub Apache-2.0 observabilitymonitoringllmloggingevaluationgatewayanalytics LLM & Chat

Overview

Helicone is an open-source LLM observability platform that gives you complete visibility into your AI applications. With one line of code integration, you can monitor requests, track costs, measure latency, run evaluations, and experiment with prompts across any LLM provider. Built for developers and ML teams, Helicone supports logging, caching, rate limiting, and custom analytics. Self-host it for full control over your data, or use the managed cloud. Integrated with OpenAI, Anthropic, Gemini, and 100+ LLM providers via a unified gateway.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
4096 MB
Rec Disk
20 GB

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Affiliate disclosure

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  helicone:
    image: helicone/helicone:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/helicone:/data

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Guides & articles

How to Self-Host Helicone: Quick Start Guide with Docker

Step-by-step guide to self-hosting Helicone LLM observability with Docker. Monitor, track costs, and debug your AI applications in minutes.

Jun 27, 2026

Helicone: Open-Source LLM Observability Platform — Complete Guide

Discover Helicone, the open-source LLM observability platform for monitoring, evaluating, and optimizing your AI applications. Self-host with Docker for full data control.

Jun 27, 2026