#4 · Primary category: AI Usage & Cost Monitoring
helicone
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
Project last updated:08/26/26
GitHub Stars
6.1K
Forks
661
Contributors
101
License
Apache-2.0
Why we included this project
Most teams only discover how much a model-backed feature costs when the provider invoice lands. Helicone fixes that blind spot by letting you point your existing OpenAI, Anthropic, or LangChain client at its dashboard: change the base URL and every request, response, token count, and latency figure starts flowing into a readable interface. You can trace individual agent sessions, watch spend and response times per provider or prompt template, and run evaluations on the traffic you've already logged rather than a separate test set. It also works as a thin gateway, so a single endpoint can reach more than a hundred models with automatic fallbacks if a provider degrades. For a small team that wants production visibility and predictable cost control without assembling its own telemetry stack, this self-hostable project covers most of that work in one deploy.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
CodexBar
Show usage stats for OpenAI Codex and Claude Code, without having to login.
codeburn
Free, local tool to track AI coding token usage and cost across 37 tools and agents (Claude Code, Cursor, Codex, Gemini and more), by model, project, and task. npx codeburn
Claude-Code-Usage-Monitor
Real-time Claude Code usage monitor with predictions and warnings
agentsview
Local-first session search, analytics, insights, and token use statistics for coding agents, supporting Claude Code, Codex, and more than 20 other agents.
tokscale
🛰️ Track token usage across AI coding agents from your terminal. 🏅 Global leaderboard with trillions of tokens tracked.