Helicone stands out as a comprehensive observability platform designed specifically for developers working with Large Language Models (LLMs). It offers a suite of tools that enable the monitoring, debugging, and enhancement of LLM applications in production environments. With Helicone, developers can dive deep into each trace to debug their agents with ease, visualize multi-step LLM interactions, and log requests in real-time to pinpoint the root cause of errors.
The platform also facilitates the evaluation of LLM applications to prevent regression and improve quality over time. Developers can monitor performance in real-time and catch regressions pre-deployment using LLM-as-a-judge or custom evaluations. Helicone's experiment feature allows for the tuning of prompts and the justification of iterations with quantifiable data, ensuring that changes are based on solid evidence rather than intuition.
Helicone is designed to support the entire LLM lifecycle, from MVP to production, and beyond. It provides actionable insights that help developers turn complexity and abstraction into actionable insights, quickly detecting hallucinations, abuse, and performance issues. The platform is proudly open-source, emphasizing transparency and the power of community. Developers can star Helicone on GitHub, join the community on Discord, or become contributors.
With features like the API Cost Calculator and Open Stats, Helicone offers additional resources for developers to compare LLM costs and access the largest public AI conversation datasets. Whether you're looking to deploy on-prem or cloud-host, Helicone provides a production-ready HELM chart for maximum security. Get started with Helicone today and take your LLM applications to the next level.
