Helicone's Header Cheatsheet. Every header you need to know to access Helicone features.

Flask API with a Streamlit ChatBot, this project provides a dynamic interface for database interaction and AI-driven user engagement, featuring secure, Docker-deployed components and advanced GPT-3.5 integration.

Active compression layer for LLM pipelines — sits in front of any LLM gateway and reduces token costs up to 40% before requests reach your provider. — zero code changes required.

Open-source observability for LLM apps: trace every request, cost, and agent step. Self-hosted, MIT.

Keryx is a web application that helps you organize your LLM chats by project. It ensures that every chat within a project adheres to a consistent set of project-specific base instructions, enhancing organization and contextual accuracy for your AI conversations.

🏠 Keep your AI at home — local-first tiered LLM routing. ~90% of traffic served by open-weight models on your own hardware, ~10% budget-capped frontier (Claude/GPT/Gemini), a privacy-pinned lane that can never leave your box, a pluggable gateway (LiteLLM · Bifrost · Helicone), and Grafana dashboards for all of it.

Built a Perplexity-like AI chatbot - ais-hack.vercel.app/student/ai

C# SDK for the Helicone API -- LLM observability, request logging, metrics, experiments, and prompt management