Helicone is an open-source LLM observability and monitoring platform designed to help developers build, debug, and scale AI applications. Backed by Y Combinator and used by some of the world's fastest-growing AI companies, Helicone positions itself as a production-grade solution for teams that need visibility into how their LLM applications behave in the real world.
The core value proposition is simplicity: Helicone integrates via a single line of code by routing requests through its proxy. This means developers don't need to restructure their application logic — they point their existing OpenAI, Anthropic, Azure, or other provider calls at Helicone's endpoint, and observability data starts flowing immediately. Supported integrations include OpenAI, Anthropic, Azure, LiteLLM, Together AI, OpenRouter, Anyscale, and others.
Once integrated, Helicone captures every request and response, making it possible to track costs, latency, and usage patterns across sessions and segments. The dashboard provides a real-time view of application health, with tools for request inspection, session replay, and segmentation — useful for understanding how different user cohorts or prompt configurations affect performance and spend.
Helicone's feature set spans several common pain points in LLM development. Cost tracking lets teams understand per-user or per-feature spend, which matters when API costs scale with usage. The sessions view groups related requests into logical conversations or workflows, making it easier to debug multi-turn or agentic systems where a single user action might trigger dozens of LLM calls. The improve and monitor tabs suggest the platform goes beyond passive logging into active quality assessment.
In the observability space, Helicone competes most directly with LangSmith (from LangChain), Weights & Biases, and Braintrust. Compared to LangSmith, Helicone's proxy-based integration is lighter-weight and provider-agnostic — LangSmith is more tightly coupled to the LangChain ecosystem. Helicone's open-source nature is a meaningful differentiator for teams with self-hosting requirements or concerns about sending sensitive prompt data to a third-party SaaS.
The project has over 5,200 GitHub stars and an active community on Discord, suggesting healthy adoption and ongoing development. Helicone recently joined Mintlify, which may signal future integrations with documentation and developer tooling.
Helicone is well-suited for teams moving from prototype to production who need cost accountability, debugging tooling, and a persistent log of LLM interactions — without adopting a heavy framework or rearchitecting their application.
Helicone offers a free trial with no credit card required. Visit the official website for current pricing details.
Helicone is best suited for development teams building production LLM applications who need visibility into cost, latency, and request behavior without adopting a new framework. It is particularly valuable for teams working with multiple LLM providers, running agentic workflows, or operating under data privacy constraints that make self-hosting preferable to fully managed observability SaaS.