An open-source platform providing observability for developers working with Large Language Models (LLMs), offering tools for logging, monitoring, and debugging.
Helicone is an open-source observability platform tailored for developers utilizing Large Language Models (LLMs). It facilitates the monitoring, debugging, and optimization of AI applications by providing comprehensive tools for logging, metrics analysis, agent tracing, prompt management, and more. With seamless integration options for various LLM providers such as OpenAI, Anthropic, and Azure, Helicone enables developers to gain insights into their AI models' performance, ensuring reliability and efficiency in deployment. The platform supports features like prompt versioning, caching, rate limiting, and user metrics, all accessible through simple header configurations without the need for extensive SDKs.
Product overview
Helicone is best understood as agent observability and evaluation infrastructure. Helicone provides request routing, monitoring, and observability for language-model applications.
Information as of July 30, 2026
Helicone provides request routing, monitoring, and observability for language-model applications.[1]
29/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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For llm evaluation consultancies
Exploring Helicone? For LLM evaluation consultancies, your own AI agent can define representative evaluations, run comparable model tests, and deliver evidence-backed recommendations. Start with a setup tailored to this work.
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