# Helicone

> Open-source observability layer designed to help developers monitor and understand how their applications interact with large language models. Acts as a lightweight proxy between applications and LLM providers.

- **URL:** https://www.helicone.ai
- **Category:** LLM Tools
- **Tags:** observability, Monitoring, Open Source
- **Updated:** 2026-03-11 13:24
- **Canonical page:** https://vectordb.ever.works/he/items/helicone

## Details

## Overview

Helicone is an open-source LLM observability platform that provides a lightweight proxy layer between your application and LLM providers. It helps teams monitor, debug, and optimize their AI applications.

## Features

- **Lightweight Proxy**: Minimal overhead between your app and LLM providers
- **Cost Tracking**: Detailed monitoring of LLM usage costs
- **Request Logging**: Comprehensive logging of all LLM requests and responses
- **Performance Metrics**: Track latency, token usage, and error rates
- **Open Source**: Fully open-source codebase under permissive license
- **Easy Integration**: Simple setup with minimal code changes
- **Multi-Provider**: Support for OpenAI, Anthropic, and other major LLM providers

## Recent Developments

Helicone has moved into maintenance mode following its acquisition by Mintlify, but remains a solid choice for LLM observability.

## Use Cases

- Debugging LLM application issues
- Cost monitoring and optimization
- Understanding user interaction patterns
- Performance optimization

## Integration

Works with Langfuse for enhanced evaluation capabilities and integrates seamlessly with vector databases in RAG pipelines.

---

_This Markdown mirror is generated by Ever Works for AI agents. The canonical HTML page is at https://vectordb.ever.works/he/items/helicone._