It is an all-in-one platform designed to monitor, debug, and improve production-ready large language model (LLM) applications. Helicone provides tools to visualize multi-step LLM interactions, log requests in real-time, and identify the root causes of errors. It enables users to monitor performance in real-time, catch regressions pre-deployment using LLM-as-a-judge or custom evaluations, and tune prompts with quantifiable data to justify iterations. The platform supports both online and offline evaluation methods, allowing users to test systems in real-time with live data or in controlled environments using historical or synthetic data.
Helicone offers two integration options: Proxy and Async. The Proxy integration provides gateway features like caching, rate limiting, and API key management, while the Async integration ensures zero propagation delay, keeping Helicone out of the critical path. It supports any model and allows monitoring applications at any scale. The platform also provides unified insights across all providers to detect hallucinations, abuse, and performance issues quickly.
Helicone is SOC2 certified and HIPAA compliant, ensuring data protection and security. It can be cloud-hosted or deployed on-premises using a production-ready HELM chart for maximum security. The platform includes the largest open-source API pricing database, with over 300 models and providers such as OpenAI and Anthropic, enabling users to compare LLM costs. Additionally, it hosts the largest public AI conversation dataset, consisting of anonymized LLM usage data.
Helicone is proudly open-source and encourages community participation. It has processed 2.2 billion requests, logged 3.1 trillion tokens, and tracked 18.3 million users. The platform is designed for the entire LLM lifecycle, from MVP to production, and offers actionable insights to turn complexity into clarity. Users can integrate Helicone in seconds and benefit from its observability features, making it a trusted tool for shipping AI applications with confidence.
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