Helicone

Helicone is an AI gateway and LLM observability platform for routing, debugging, and monitoring AI apps with prompts, model comparison, and production controls.

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Overview

Helicone is an AI gateway and LLM observability platform for teams building applications on top of large language models. Its home page describes it as a tool to route, debug, and analyze AI applications, while the pricing page frames it as software to help teams ship AI apps with confidence.

The product combines request monitoring, prompt workflows, model comparison, and operational controls in one dashboard. The source also shows support for alerts, reports, rate limits, automatic fallbacks, prompts, datasets, and a playground, which suggests it is designed for both day-to-day development and production monitoring.

Features

AI gateway and observability

Route requests through an AI gateway while tracking usage and behavior in the same product. The home page positions Helicone for routing, debugging, and analyzing AI applications.

Request and user analytics

Inspect requests, sessions, users, and segments in the dashboard to understand how your application is used. The home page highlights these analysis views, and the pricing page adds sessions and user analytics.

Prompt and experiment workflow

Use prompts, datasets, and the playground to iterate on model behavior without leaving the platform. The home page lists Improve, Prompts, Datasets, and Playground, while the changelog describes prompt management and testing in the Playground.

Operational controls

Set alerts, reports, rate limits, and automatic fallbacks to manage production usage. These capabilities appear in the home page feature list and the pricing comparison table.

Model registry and comparison

Compare models, costs, context windows, and providers in the model registry. The models page is built for filtering by provider, price range, context size, and special capabilities.

Usage statistics

Track model usage and pricing over time in the AI Gateway stats area. The stats page presents real-time model usage statistics, even though the current page notes that stats are temporarily unavailable.

Use Cases

Production monitoring
Teams building LLM apps can route requests through Helicone while watching requests, sessions, and user behavior in one place. This is useful when you need visibility into how an application behaves in production.
Prompt iteration and release
Developers can refine prompts in the Playground, use prompt management, and deploy changes without rebuilding the application. The changelog specifically describes version control, typed variables, and instant deployment through the AI Gateway.
Production guardrails
Operators can set alerts, reports, rate limits, and automatic fallbacks to reduce the impact of spikes or model issues. These controls are surfaced in the home page and pricing comparison.
Model and cost comparison
Product or finance teams can use the model registry and stats areas to compare providers, pricing, context windows, and usage patterns. This supports model selection and cost analysis across different LLM providers.
Team collaboration and scaling
Growing teams can choose a paid plan for unlimited seats, multiple organizations, and collaboration features like reports and Slack support. The pricing page separates team-oriented and enterprise-oriented capabilities from the free tier.

Pros and Cons

Pros

Combines gateway routing and observability in a single product.
Supports prompt iteration, testing, and deployment workflows from the dashboard.
Includes operational controls such as alerts, reports, rate limits, and fallbacks.
Offers a model registry to compare providers, costs, and context windows.
Shows a pricing structure that includes a free plan, paid tiers, and an enterprise contact-sales option.

Cons

The collected sources do not show a complete integrations or SDK matrix, so setup fit is not fully documented here.
The stats page currently says model usage statistics are temporarily unavailable, so that area appears to be in flux.

FAQ

What does Helicone do?

Helicone is positioned as an AI gateway and LLM observability platform. The source shows features for routing, debugging, analyzing requests, prompt management, playground testing, alerts, reports, and rate limits.

Does Helicone offer a free plan or trial?

The pricing page shows a free Hobby plan, paid Pro and Team plans, and an Enterprise plan with contact sales. It also mentions a 7-day free trial on Pro and Team.

Does Helicone work with multiple model providers?

The source shows support for AI Gateway use across multiple providers, and the model registry is built to compare costs and providers across many LLMs. It specifically references Anthropic, AWS Bedrock, Google Vertex AI, OpenAI, Fireworks, Groq, and OpenRouter in the collected pages.

What do the paid plans add?

The pricing page states that Pro includes unlimited seats, alerts and reports, and HQL; Team adds organizations, SOC-2 and HIPAA compliance, and a dedicated Slack channel; Enterprise adds custom MSAs, SAML SSO, on-prem deployment, and bulk cloud discounts.

Can I see the full integration surface area before choosing it?

The collected sources do not provide a full integrations list. The model pages and changelog do show support for multiple providers and workflow features in the dashboard and Playground.