Count tokens across any code repository — fast, local, no API calls
Project description
repotoken
Count tokens across any code repository — fast, local, no API calls.
$ repotoken .
scanning /your/project ...
file tokens lines
──────────────────────── ──────── ──────
src/parser.py 3.1K 140
src/main.py 2.8K 120
src/utils.py 1.2K 55
tests/test_parser.py 890 40
README.md 430 30
──────────────────────────────────────────
TOTAL 8.4K 385
files 5
skipped (binary) 3
Why?
LLMs have context limits — GPT-4o tops out at 128K tokens, most Claude models at 200K. If you're working with AI tooling on a codebase, you need to know how big your repo actually is in token terms — not lines, not bytes, but tokens.
repotoken tells you exactly that, per file and in total, so you can make informed decisions about chunking, batching, or summarisation.
Install
pip install repotoken
Usage
# scan current directory
repotoken .
# scan any repo
repotoken /path/to/any/repo
Notes
- Uses
cl100k_baseencoding (GPT-4 / GPT-4o tokenizer) — accurate for most modern LLMs within ~10-15% - Detects binaries using null-byte scanning (same method as git) — no hardcoded extension lists
- Automatically skips
.git,node_modules,__pycache__,.venv, and other noise - Sorts output by token count so the heaviest files are at the top
- No API calls, no network requests, runs entirely locally
License
MIT
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