Helicone is an AI gateway that centralizes, logs, and analyzes LLM API traffic to provide observability, performance monitoring, and usage insights for developers.
Helicone is an AI gateway and observability platform designed to sit between your application and large language model providers, giving you detailed visibility and control over every request. It acts as a proxy layer: you route your LLM traffic through Helicone, and it automatically captures structured logs, metrics, and metadata without requiring major code changes. Core capabilities include request and response logging, latency and error tracking, cost monitoring, and granular analytics across models, endpoints, and users. Helicone supports multiple LLM providers and models, allowing teams to compare performance, reliability, and cost in one place.
Developers can tag and segment traffic, inspect individual prompts and outputs, and analyze trends to debug issues or optimize prompts. The platform enables experiment management, A/B testing between models or prompt versions, and enforcement of usage limits and access controls. Typical use cases include monitoring production AI features, understanding user behavior in chat or assistant workflows, optimizing prompt engineering, and keeping cloud costs under control. Helicone is particularly useful for teams scaling AI products who need observability, governance, and performance insights without building custom logging and analytics infrastructure for every LLM integration.
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