Prompt Token Minifier
A zero-dependency Python micro-tool to shrink your LLM prompts before sending them to the API. It saves tokens and reduces costs by:
- Minifying JSON schemas and examples inside Markdown blocks.
- Stripping comments (
//,#,/* */) from code blocks. - Collapsing redundant whitespaces and newlines.
Installation
pip install prompt-token-minifier
Usage
from prompt_token_minifier import minify_prompt
raw_prompt = """
You are a helpful assistant.
Here is the JSON schema you must follow:
{
"type": "object",
"properties": {
"name": {
"type": "string"
}
}
}
And some context code:
# This function calculates the sum
def add(a, b):
return a + b
print(minify_prompt(raw_prompt))
Output: (Saves ~40% tokens depending on formatting)
You are a helpful assistant.
Here is the JSON schema you must follow:
{"type":"object","properties":{"name":{"type":"string"}}}
And some context code:
def add(a, b):
return a + b
Metadata
Release files for prompt-token-minifier 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| prompt_token_minifier-0.1.0.tar.gz | 4.2 kB | With provenance | Details for prompt_token_minifier-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| prompt_token_minifier-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for prompt_token_minifier-0.1.0-py3-none-any.whl |
Total release size: 8.4 kB
Release files / prompt_token_minifier-0.1.0.tar.gz
| Download URL | prompt_token_minifier-0.1.0.tar.gz |
|---|---|
| Size | 4.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0b771621d85004aded0aefa6553986306d0c103aef4afa590a64c5e2fdc2c963
|
|
BLAKE2b-256 checksum How to use checksums |
c467ae90a6cc128df147bfeb21e7fd435676ea12cb6f200ccff65cbb1f6050fe
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 26, 2026.
Transparency logRelease files / prompt_token_minifier-0.1.0-py3-none-any.whl
| Download URL | prompt_token_minifier-0.1.0-py3-none-any.whl |
|---|---|
| Size | 4.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9f9667010bd985ee6bfdb7df62710d86ec3126f5515304a416c8d98b630ba381
|
|
BLAKE2b-256 checksum How to use checksums |
dc8acd5c613fc1ef75d5131cd755b59af79196542178869c8a259fbc94198fff
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 26, 2026.
Transparency logSecurity for prompt-token-minifier 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for prompt_token_minifier-0.1.0.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 26, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.