Helicone

Helicone is an open source LLM observability platform that monitors, evaluates, and analyzes AI applications.

Helicone is an open source LLM observability platform designed to help AI teams build reliable products. It provides tools to route, debug, analyze, monitor, evaluate, and experiment with applications. Users can access every AI model through the OpenAI SDK and switch providers by changing the model name without code rewrites. The platform supports integration with models from OpenAI, Anthropic, Azure, LiteLLM, Anyscale, Together AI, OpenRouter, and more. It features dashboards, request tracking, segments, sessions, user analytics, prompt improvement, datasets, a playground, rate limits, and alerts.

Helicone at a glance

Best for: Software engineer
Runs on: API
Pricing: Free plan with usage-based pricing
Released: January 2023
Category: AI coding tool
Website: helicone.ai

Key features

Monitor and debug LLM applications
Route requests to over 100 models
Analyze sessions and user requests
Manage prompts and datasets
Test models in a playground
Set rate limits and alerts

Use it for

Building reliable AI applications
Debugging LLM requests
Switching between AI model providers
Analyzing AI performance and usage

Companion to

Tools whose articles name Helicone as a companion, each with its job for them.

n8n — Helicone: LLM monitoring

Alternatives to Helicone

Opik — It offers comprehensive tracing, automated evaluations, and open-source flexibility.
New Relic — Unified visibility across applications, infrastructure, and AI models.
Arize Phoenix — Provides tools for tracing, evaluation, prompt engineering, and experiments.
OpenLIT — It enables comprehensive monitoring, evaluation, and management of AI agents via OpenTelemetry.
Tracely — Turns production failures into regression tests that block pull requests.
OpenLLMetry — Integrates into applications with just two lines of code.
OpenCode — Works with 75+ model providers, local models, and existing subscriptions
HackerOne — Combines AI agents with expert human researchers to prioritize and fix real risks.
MLflow — Complete observability and evaluation for production AI apps.
Lumabri — Runs large AI models across multiple computers by sharing memory and layer workloads.
Lunary — It enables teams to monitor LLM performance, debug agents, and manage prompts.
oMLX — It uses paged SSD KV caching to reduce agent TTFT to under 5 seconds.

All Helicone alternatives