Helicone

Helicone is an open-source AI gateway and LLM observability platform for developers building AI applications. It helps teams route, monitor, debug, and analyze model requests across providers such as OpenAI, Anthropic, Azure, LiteLLM, and other AI infrastructure tools. The platform is useful for production AI products because it gives visibility into the behavior and cost of LLM calls. Developers can track latency, usage, token spend, errors, request metadata, and user-level patterns instead of treating model calls as a black box. This is especially important for SaaS founders and technical teams shipping AI features where cost and reliability can quickly become difficult to manage. Helicone can act as a gateway layer between an application and model providers. That makes it useful for logging, rate limiting, debugging prompts, comparing providers, improving reliability, and understanding which users or workflows generate the most AI spend. Teams can use it during prototyping and continue using it as an observability layer after launch. For FutureStack, Helicone is a strong fit for developers and founders building AI apps with real users. It is best positioned as a practical infrastructure tool for LLM monitoring, cost control, and debugging. It helps builders understand what is happening inside their AI systems before small issues become expensive production problems.