Helicone watches your AI calls.
SBproxy governs your traffic.
Helicone is built for AI engineering teams that want a clean trace of every prompt and completion. It is good at that job. It does not handle inbound agent traffic, content monetization, agent identity, or API gateway features. If you are picking between observability and governance, those are two different jobs.
- Stack
- TypeScript, Cloudflare Workers
- Licence
- Open source observability layer, hosted SaaS for the platform
- Shape
- LLM proxy and analytics
- Install
- Hosted, self-host with Postgres + ClickHouse
Outbound LLM observability and analytics. Strong on traces, sessions, and user analytics for AI products.
Inbound monetization, agent identity, content for agents, outbound AI governance, in-VPC. All on one runtime.
None. Helicone is in front of LLM calls, not in front of your APIs and content.
Web, API, MCP, agents. Pay Per Crawl, Web Bot Auth, virtual keys, OpenAPI emission.
None. WAF, rate limit, mTLS, transforms are not in scope.
Built in. Same runtime as the AI gateway.
Self-host requires Postgres and ClickHouse. Workable, more pieces to operate than a single binary.
Single binary. K8s operator. Air-gapped install. Same policy graph in every shape.
You are a small AI app team that wants traces and analytics on outbound LLM calls and nothing else.
You also need to govern inbound agent traffic, monetize content, or run inside a perimeter Helicone’s SaaS does not satisfy.
- Helicone documentation and pricing
- Helicone-ai/helicone repo
Want to talk
before you install?
The gateway is on GitHub under Apache 2.0 and you can install it right now, so nothing here is gated behind a sales call. Use this form for deployment questions, migration scoping, or anything you would rather not file as a public issue.