Helicone is an AI gateway and LLM observability platform that enables monitoring, evaluation, and experimentation of language model applications through minimal code integration.
The platform addresses the challenge of tracking and optimizing LLM usage across multiple providers and frameworks. It works by intercepting API calls from services like OpenAI, Anthropic, LangChain, and Gemini, collecting detailed telemetry about each request. This data flows into a centralized dashboard where engineers can inspect traces, debug agent behavior, and analyze performance metrics including cost, latency, and response quality. The tool also functions as an AI gateway, allowing access to over 100 models through a single API key with intelligent routing and automatic fallback capabilities.
Teams building production LLM applications should consider Helicone if they need visibility into model behavior across multiple providers without rewriting integration code. It suits projects ranging from chatbots and document processing pipelines to multi-step agents where understanding request flow and cost is critical. The platform includes a playground for prompt iteration, version control for prompts that can be deployed through the gateway, and integration with fine-tuning partners. For teams already using OpenAI's API, switching to Helicone's gateway requires minimal changes while unlocking access to alternative models.
The project maintains active development with regular commits and closed issues tracked throughout its lifecycle. The codebase is written primarily in TypeScript, indicating a focus on JavaScript ecosystem compatibility. The platform emphasizes production readiness through SOC 2 and GDPR compliance certifications, suggesting attention to enterprise security and data handling requirements.
