Claude Code usage tracking by LangWatch vs AI Eyes
Comprehensive feature analysis, ratings breakdown, platform compatibility, and community review comparison.
Claude Code usage tracking by LangWatch
See what your Claude Code sessions actually cost
Detailed Feature Comparison Matrix
Compare Other Tools| Dimension | Claude Code usage tracking by LangWatch |  AI Eyes |
|---|---|---|
| Primary Category | Open Source | Open Source |
| Community Rating | 5.0(5 reviews) | No ratings(0 reviews) |
| Community Upvotes | 362 votes | 63 votes |
| Supported Platforms | Web | Web |
| Tags & Focus | #Artificial Intelligence#Developer Tools#Open Source#GitHub | #Developer Tools#Open Source#Privacy#OpenAI Day |
| Maker / Company | Independent Developer | Independent Developer |
| Platform Verification | Community Listing | Community Listing |
About Claude Code usage tracking by LangWatch
Claude Code usage tracking by LangWatch is a specialized developer tool designed to give you complete visibility into what your Claude Code sessions actually cost. Built for AI engineers and developers leveraging terminal-based AI coding workflows, this tool provides granular insights into token usage, caching efficiency, and session executions.
Getting started is frictionless—you simply need to run npx langwatch claude once. From there, the tool automatically tracks every session, breaking down costs with cache reads and writes as separate token classes. It logs every bash and Model Context Protocol (MCP) call as an individual span, compares theoretical usage versus billed usage for your Max plan, and delivers a full terminal replay directly in the user interface. Additionally, it offers support for Codex.
Pros of Claude Code usage tracking by LangWatch
- Extremely easy setup with a single command (`npx langwatch claude`)
- Detailed cost breakdown including cache reads and writes as separate token classes
- Tracks every bash and MCP call as individual spans
- Provides a full terminal replay in the UI and supports Codex as well
Cons of Claude Code usage tracking by LangWatch
- Requires integration with LangWatch for tracking and UI visualization
- Focused primarily on terminal-based coding assistant workflows like Claude Code and Codex
Frequently Asked Questions
How do I start tracking my Claude Code sessions?
You can start tracking your sessions instantly by running the command `npx langwatch claude` once.
What metrics and data points does LangWatch capture?
It tracks session costs, cache reads and writes as separate token classes, theoretical vs billed usage for your Max plan, individual spans for bash and MCP calls, and provides a full terminal replay in the UI.
Does this tool work with platforms other than Claude Code?
Yes, the tracking functionality also works for Codex.
About AI Eyes
AI Eyes is a permission-first co-presence prototype designed for AI companions. Created by developer Deen Storkey, this open-source tool establishes a privacy-focused, local-first foundation for managing what your digital companions can see and hear.
With its initial v0.1 release, AI Eyes allows users to choose a specific screen or window to capture and gives granular, separate controls for screen, system audio, and microphone inputs. The interface makes it easy to invite named companions and ensures transparency by always displaying when sensing is active. Users can pause or end sessions at any time; ending a session immediately stops all media tracks and resets the session completely.
Built using Codex and GPT-5.6, this prototype is focused entirely on local-first permission, presence, and session-control. Please note that in this foundational stage, no external AI provider or semantic understanding has been connected yet.
Pros of AI Eyes
- Privacy-focused, local-first permission architecture
- Separate, granular control over screen, system audio, and microphone capture
- Clear visual indicators showing when active sensing is occurring
- Open-source code base allowing developers to review and build upon the prototype
Cons of AI Eyes
- It is a prototype (v0.1) and does not yet have an active AI provider or semantic understanding connected
- Limited to foundational capture and session-control features at this stage
Frequently Asked Questions
What is AI Eyes?
AI Eyes is an open-source, permission-first co-presence prototype built to manage what AI companions can access. It provides local-first controls over screen sharing, audio, and session state.
Does AI Eyes currently analyze my screen or voice?
No. In the v0.1 release, no AI provider or semantic understanding is connected. The prototype is currently a local-first foundation focused on permission, capture, presence, and session-control.
How do I control my privacy while using AI Eyes?
AI Eyes lets you choose exactly which screen or window to capture and gives you separate toggle controls for your screen, system audio, and microphone. There is also a clear indicator to show when sensing is active, and you can pause or end the session to stop all media tracks instantly.
What technologies were used to build AI Eyes?
The AI Eyes prototype was built using Codex and GPT-5.6.