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

verdict
Not yet tested
Argusic Score
not scored yet
recorded runs
0
last tested
-
stars
814
forks
38
open issues
0
watchers
3
size
0 MB
created
last push

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.

[![Tested by Argusic](https://argusic.com/badge/tokentap.svg)](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.

Discussion