tokentap
Intercept LLM API traffic and visualize token usage in a real-time terminal dashboard. Track costs, debug prompts, and monitor context window usage across your AI development sessions.
Not yet testedsource: GitHubhomepagePythonMITcommit ac4b8b95a2d9
Python, MIT licensed. The project labels itself: ai tools, anthropic, cli, developer tools, itmproxy, llm, proxy and python.
tokentap has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence.
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
No recorded runs.
Topics (from GitHub)
ai-toolsanthropicclideveloper-toolsitmproxyllmmproxypythonrichterminal-dashboardtoken-counter
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/tokentap)Questions
- Does tokentap run?
- tokentap has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test tokentap?
- On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
- Where is the evidence for tokentap?
- All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.