**Helicone** is an open-source platform designed to help developers **log, monitor, and debug** their LLM (Large Language Model) applications. Whether you're building an AI app or managing production-ready LLM systems, Helicone provides the tools to **ship with confidence**.

What are the features of Helicone?

* **Logging**: Dive deep into each trace and debug your agent with ease. Visualize multi-step LLM interactions and log requests in real-time. * **Evaluation**: Monitor performance in real-time and catch regressions pre-deployment with LLM-as-a-judge or custom evaluations. * **Experimentation**: Tune your prompts and justify iterations with quantifiable data, not just "vibes." * **Deployment**: Turn complexity into actionable insights with unified metrics across all providers to detect hallucinations, abuse, and performance issues.

What are the use cases of Helicone?

* **AI App Development**: Monitor and debug your AI applications in real-time. * **Prompt Optimization**: Test and improve prompt variations without touching a single line of code. * **Performance Monitoring**: Track LLM performance and catch regressions before they impact users.

1. **Integration**: Use the provided code snippet to integrate Helicone with your LLM application. 2. **Monitoring**: Log requests and monitor performance through the Helicone dashboard. 3. **Experimentation**: Test different prompts and evaluate their effectiveness using Helicone's tools.

Is there an impact to the latency of the calls to LLM?

Helicone offers both **Proxy** and **Async** integrations. The Async integration ensures zero propagation delay, while the Proxy option provides additional features like caching and rate limiting.