Helicone

An open-source LLM observability and caching platform that adds monitoring, cost tracking, and caching to any LLM application with a single line of code change. Helicone works as a proxy: developers route API calls through Helicone's endpoint instead of directly to OpenAI, Anthropic, or another provider, and every request is automatically logged, analyzed, and cached. The dashboard shows real-time cost per user, token usage trends, latency percentiles, error rates, and prompt performance over time. A caching layer stores identical or semantically similar requests and returns cached responses instantly, reducing API costs for applications that receive repeated queries. User and session tracking links usage to individual end users for billing and debugging. Open-source and self-hostable; the cloud version has a free tier and paid plans from $20/month. Popular with AI startup founders and developers who want immediate visibility into LLM costs and performance.

Browse tasks in this category · Category overview