Helicone

Unified gateway to monitor, debug, and optimize LLM applications across providers.

4.8 (5)

Geprüft von Daniel Nikulshyn·Aktualisiert Mai 2026

LLM Observability Analytics Open Source API Gateway Prompt Management Developer Tools Monitoring

Übersicht

Helicone is an observability and gateway platform built for teams developing with large language models. It sits between your application and AI providers, capturing requests, responses, latency, costs, and errors so developers can debug prompts and track performance from a single dashboard. Beyond logging, Helicone offers tools for prompt management, A/B testing, caching, rate limiting, and user-level analytics. Its provider-agnostic gateway lets teams route traffic across models from OpenAI, Anthropic, and others, making it easier to experiment, control spend, and ship reliable AI features.

Hauptfunktionen

Request and response logging
Prompt versioning and experiments
Caching and rate limiting
Cost tracking per user or session
Multi-provider gateway routing
Custom alerts and dashboards

Anwendungsfälle

Debug production LLM issues

Inspect logged requests, responses, latency, and errors in a single dashboard to quickly diagnose failing prompts or degraded model behavior in live applications.

Control and forecast AI spend

Track costs per user, session, or feature to identify expensive workloads, enforce rate limits, and use caching to reduce redundant calls to LLM providers.

A/B test prompts and models

Use prompt versioning and experiments alongside multi-provider routing to compare outputs from OpenAI, Anthropic, and others before rolling changes to users.

Route traffic across providers

Leverage the unified gateway to switch or balance requests between LLM vendors, improving reliability and avoiding lock-in for AI-powered features.

Pro & Contra

Pro

Works across multiple LLM providers
Detailed cost and usage analytics
Simple proxy-based integration
Open-source option available

Contra

Adds an external dependency to request path
Advanced features require paid tiers
Learning curve for full feature set

Bewertungen

4.8

Durchschnitt aus 5 Bewertungen.

Melde dich an, um eine Bewertung abzugeben.

Fatima Zahra

Compared a few options

Evaluated this against two competitors. Where it wins: caching and rate limiting and detailed cost and usage analytics. On balance the feature set — especially prompt versioning and experiments — justifies the 5 stars for our use case.

Victor Nguyen

Use it every day

Honestly didn't expect to like it this much. Caching and rate limiting is exactly what I needed, and works across multiple LLM providers. I do wish adds an external dependency to request path, but I reach for it almost every day now and it just clicks.

Naomi Suzuki

Does the job

Pretty happy overall. Custom alerts and dashboards just works and simple proxy-based integration. but no dealbreakers — I'd recommend it to a friend without hesitating.

Leila Hassan

Does the job

Pretty happy overall. Caching and rate limiting just works and works across multiple LLM providers. but no dealbreakers — I'd recommend it to a friend without hesitating.

Gunnar Eriksson

Does the job

Pretty happy overall. Prompt versioning and experiments just works and open-source option available. Adds an external dependency to request path can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.