Helicone — LLM Observability & Monitoring

Helicone is an open-source observability platform for monitoring LLM costs and performance for AI developers

Helicone is an open-source observability platform designed to provide full visibility into Large Language Model (LLM) applications. It serves developers and business owners who need to track every request sent to providers like OpenAI or Anthropic to ensure reliability and cost-efficiency. By acting as a transparent proxy, Helicone captures detailed logs, latency metrics, and token usage without requiring complex code changes. The platform offers a centralized dashboard where teams can monitor real-time performance and identify bottlenecks in their AI workflows. You can use Helicone to debug failed requests, replay specific prompts for testing purposes, and monitor custom properties to see which users or features are consuming the most resources. Business owners can find more technical insights and comparisons on surfai.app to help scale their AI infrastructure safely. Key features include caching to reduce repeated API costs, rate limiting to protect your backend, and automated threat detection for prompt injections. These tools allow legal firms, educational institutions, and tech startups to maintain high security standards while managing large volumes of AI-driven data. The reporting suite provides granular insights into spend by model or project, making it easier to forecast monthly operational costs. Helicone is available via a freemium model that includes a generous free tier for early-stage projects. Paid plans are available for businesses requiring higher request volumes and advanced team collaboration features.

• Pricing: freemium

Specifications

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