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Helicone AI is an AI observability platform that helps developers monitor, analyze, and optimize applications powered by large language models (LLMs). They provide a unified gateway that tracks every AI request, allowing developers to measure performance, monitor costs, reduce latency, and improve the reliability of AI applications. They are designed for AI developers, startups, software companies, and enterprises building production-ready AI products. Their platform works with popular AI providers, making it easier to manage multiple models while maintaining complete visibility into AI usage and application performance.
They provide features such as LLM observability, AI request logging, performance analytics, cost tracking, and prompt management. They allow developers to monitor prompts, responses, tokens, latency, errors, and API usage through an easy-to-use dashboard. Their platform also includes caching, request retries, rate limiting, model comparison, and detailed analytics to help optimize application performance while reducing operational costs. They support integration with leading AI providers such as OpenAI, Anthropic, Google Gemini, and many open-source models. Their developer-friendly APIs and SDKs simplify deployment, enabling teams to monitor AI assistants, chatbots, automation tools, and enterprise AI applications from a single platform.
Helicone AI helps organizations improve the quality and reliability of AI applications through real-time monitoring and detailed analytics. They are useful for developers building AI assistants, customer support platforms, coding tools, research applications, and enterprise AI systems that require production-level observability. Their scalable platform supports teams of all sizes while simplifying AI infrastructure management. And the best part? They offer a Freemium plan that allows developers to monitor AI applications with core observability features for free. Paid plans include higher request limits, advanced analytics, team collaboration, enterprise security, and premium support for large-scale deployments.
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