Helicone is an AI gateway and LLM observability platform that routes, debugs and analyzes requests from AI applications. Developers add it with a one-line integration, and it then logs requests, tracks sessions and users, and offers gateway features such as caching, rate limits and automatic fallbacks. Prompts, scores, datasets and a playground support testing and iteration. The Hobby plan is free with 10,000 requests and 1 GB of storage, Pro costs $79 per month and Team costs $799 per month, both with a 7-day free trial and usage-based charges on top.
Helicone is aimed at developers, startups and engineering teams that ship LLM-powered products and need to see cost, latency and failures. Solo builders can use the free Hobby plan for side projects, while growing teams choose Pro for unlimited seats, alerts and reports. Larger companies pick Team for SOC-2 and HIPAA compliance, five organizations and a dedicated Slack channel, and Enterprise adds SAML SSO and on-prem deployment. Discounts exist for startups, open-source companies, non-profits and students, which helps early-stage teams.
A team can put Helicone in front of its model provider calls to cache repeated responses and cut spend. An engineer chasing a production issue can browse sessions and custom properties to find the request that failed. Product managers can review user analytics and scheduled reports, and on-call developers can set alerts for error spikes. Teams iterating on prompts can compare versions in the playground and score outputs against datasets. Query-heavy users can write HQL to slice request data, and webhooks pass events into other systems. Fallback rules keep an app running when a provider has trouble.
