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Helicone

Helicone is an AI gateway and LLM observability platform for teams routing, debugging, and analyzing AI apps.

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Helicone is an LLMOps platform and AI gateway for teams building AI apps. It helps engineers route model calls, debug requests, and analyze usage from one dashboard. Through the OpenAI SDK, teams can switch across GPT-4o, Claude, Gemini, DeepSeek, Mistral, Groq, Bedrock, and Azure by changing the model name.

Key Highlights

  • Routes LLM requests through an OpenAI-compatible gateway for 100+ models
  • Tracks requests, segments, sessions, users, and analytics in dashboards
  • Adds HQL, alerts, reports, rate limits, caching, and fallbacks by plan
  • Includes prompt, dataset, scoring, playground, and webhook tools
  • Offers a free Hobby plan, paid team tiers, usage-based billing, and on-prem enterprise options

What Makes It Different

Helicone's main hook is the gateway layer: it sits where model calls already happen. Developers point the OpenAI client at Helicone's base URL and keep the same SDK pattern while changing providers by model name.

That setup connects routing, request history, prompts, rate limits, alerts, and usage-based costs. It fits teams that want observability and gateway controls together.

Features & Capabilities

The workflow starts by sending model calls through Helicone's AI gateway. Dashboards then show requests, segments, sessions, users, HQL, prompts, datasets, monitoring, rate limits, and alerts. Teams can inspect usage, improve prompts, test changes, and control traffic without swapping SDKs.

Paid plans add collaboration, compliance, and data controls. Pro adds unlimited seats, alerts, reports, and HQL. Team adds 5 organizations, SOC-2 and HIPAA compliance, and Slack support. Enterprise adds SAML SSO, on-prem deployment, bulk cloud discounts, and longer retention.

User Ratings and Testimonials

Helicone highlights adoption by 1000+ AI teams and focuses on reliability work for requests, sessions, users, prompts, rate limits, and alerts. The tradeoffs are plan-based: the free tier is limited to one seat and one organization, while API access, longer retention, compliance, and Slack support are paid.

Pricing & Value

  • Hobby: $0/month, with 10,000 requests, 1 GB storage, 1 seat, 1 organization, 7 days of retention, and 10 logs per minute
  • Pro: $79/month, with unlimited seats, alerts, reports, HQL, 1 month of retention, and API access at 10 calls per minute
  • Team: $799/month, with 5 organizations, SOC-2 and HIPAA compliance, Slack support, 3 months of retention, and API access at 60 calls per minute
  • Enterprise: Contact us, with unlimited organizations, SAML SSO, on-prem deployment, bulk cloud discounts, forever retention, and API access at 1,000 calls per minute

The free Hobby plan is enough for a small project or early evaluation. Pro is the first paid tier for teams that need unlimited seats, alerts, reports, and HQL.

FAQs

How does helicone work?

Helicone works as an AI gateway for LLM requests, logging calls so teams can monitor usage, prompts, users, and routing.

Who is the founder of Helicone AI?

The listed founders are Justin Torre, Barak Oshri, and Scott Nguyen.

What is the difference between Langfuse and Helicone?

Both handle LLM observability. Helicone also adds an AI gateway with model routing, rate limits, caching, and fallbacks.

Is Helicone open source?

Yes. Helicone is open source, and it also offers a hosted SaaS with a free Hobby plan and paid team and enterprise tiers.

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Curated by Michał Śnieżyński. Website may contain affiliate links.

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