Helicone AI

All-in-one observability platform to monitor, debug, and improve production LLM apps.

4.7 (6)

İnceleyen Daniel Nikulshyn·Güncellendi Mayıs 2026

Genel Bakış

Helicone AI is a developer-focused observability platform built specifically for applications powered by large language models. It captures requests, responses, costs, and latency across providers, giving engineering teams a unified view of how their LLM features behave in production. Beyond logging, Helicone offers tools for debugging prompts, tracing multi-step agent workflows, running evaluations, and tracking user-level usage. Teams can identify regressions, control spend, and iterate on prompts with data rather than guesswork. It integrates with popular model providers and frameworks through a lightweight proxy or async logging, making it straightforward to add to existing stacks without major code changes.

Temel özellikler

Request and response logging
Cost and token usage tracking
Prompt management and versioning
Agent and session tracing
Custom evaluations and dashboards
User and rate-limit analytics

Artılar ve eksiler

Artılar

Quick integration via proxy or async SDK
Unified view of cost, latency, and usage
Supports multiple LLM providers
Useful prompt and agent debugging tools
Open-source option available

Eksiler

Proxy setup may add a network hop
Advanced features require paid tiers
Primarily aimed at developers, not non-technical users

İncelemeler

4.7

6 puandan ortalama.

İnceleme bırakmak için giriş yap.

Beatriz Costa

Years in this space

I've evaluated a lot of these over the years. What stands out here is agent and session tracing — handled better than most — and quick integration via proxy or async SDK. Advanced features require paid tiers is my one real gripe. Worth the time if this is your use case.

Carlos Mendoza

Years in this space

I've evaluated a lot of these over the years. What stands out here is user and rate-limit analytics — handled better than most — and open-source option available. Advanced features require paid tiers is my one real gripe. Worth the time if this is your use case.

Diego Fernández

Years in this space

I've evaluated a lot of these over the years. What stands out here is custom evaluations and dashboards — handled better than most — and useful prompt and agent debugging tools. Primarily aimed at developers, not non-technical users is my one real gripe. Worth the time if this is your use case.

Gunnar Eriksson

Use it every day

Honestly didn't expect to like it this much. Request and response logging is exactly what I needed, and supports multiple LLM providers. I do wish advanced features require paid tiers, but I reach for it almost every day now and it just clicks.

George Papadakis

Solid for our team

We rolled this out across the team last quarter and useful prompt and agent debugging tools. User and rate-limit analytics fits neatly into how we already work, and user and rate-limit analytics removed a step we used to do by hand. but it has held up under daily use.

Hannah Goldberg

Compared a few options

Evaluated this against two competitors. Where it wins: user and rate-limit analytics and useful prompt and agent debugging tools. On balance the feature set — especially prompt management and versioning — justifies the 5 stars for our use case.

Sorular

Henüz soru yok — ilk soruyu sen sor.

Soru sor

Observability alternatifleri

AI2AI project

Observability

Watch two AI agents converse with each other in real time

4.5 (4)

Free

Weave

Observability

A no-code AI workflow builder that enables businesses to automate operations by integrating multiple large language models (LLMs) and connecting prompts seam...

4.8 (5)

Free

Temperstack

Observability

AI-driven reliability platform that automates monitoring, alerting, and incident management across observability stacks.

4.3 (4)

Free

Arize AI

Observability

An AI observability and LLM evaluation platform that assists AI developers and data scientists in monitoring, troubleshooting, and enhancing the performance...

4.3 (6)

Freemium