🔧 AI ProductivityOpen SourceFree

Helicone

One-line LLM observability — real-time dashboards and cost tracking

4.3/ 5⭐ 5,000 GitHub starsTypeScriptMIT

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📋 Overview

Helicone provides one-line LLM observability with real-time dashboards and cost tracking. Unlike Langfuse (which requires SDK integration), Helicone works by simply changing your API base URL — no code changes needed. It provides real-time monitoring of requests, latency, costs, and error rates. The platform supports any LLM provider (OpenAI, Anthropic, Gemini, etc.) and includes features for caching, rate limiting, and user management.

✨ Key Features

•One-line integration — just change API base URL
•Real-time dashboards and cost tracking
•Supports any LLM provider
•Built-in caching and rate limiting
•User management and access control
•Self-hosted free; cloud for teams
•Proxy-based integration
•Error rate monitoring

🎯 The Problem It Solves

Teams need LLM observability but cannot modify their codebase to add SDKs. Helicone provides instant observability by proxying API calls — just change the base URL.

🔧 How It Works

Helicone acts as a proxy between your application and LLM providers. Change your API base URL to Helicone endpoint, and it automatically logs all requests, tracks costs, monitors latency, and provides real-time dashboards. No SDK integration required.

🚀 Installation & Quick Start

Installation

See website

Quick Start

See documentation

✅ Pros

•Simplest observability integration
•No code changes required
•Real-time dashboards
•Cost tracking built-in
•Self-hosted is free
•Proxy-based integration
•Error rate monitoring

❌ Cons

•Fewer features than Langfuse
•Smaller community
•Free tier tight limits
•Limited customization

💬 Practitioner Verdict

“Helicone is the simplest LLM observability tool — the one-line integration is genuinely differentiated. The trade-off: fewer features than Langfuse, smaller community, and the free tier has tight limits. For teams that need instant observability without code changes, Helicone is the default.”