Terminal based AI agent for Docker
Project description
Yard for Docker
Yard is a terminal-based AI agent for Docker. In this first version, it helps developers quickly generate Dockerfiles for Python projects directly from the terminal.
Status
v1 — under active development.
What it does
- Generates one or more Dockerfiles and a
.dockerignorefile from a simple command - Detects the Python version from project metadata
- Helps package Python applications for Docker quickly from the terminal
Install
pipx install yard
Setup
Yard currently uses OpenAI models.
Windows PowerShell
$env:OPENAI_API_KEY="your_api_key"
Linux/macOS
export OPENAI_API_KEY="your_api_key"
Example
yard "create a dockerfile for this main.py file"
Privacy
- This project does not send raw files, scripts, or
.envvariables to the AI - No data is used for training AI models
- Yard only reads
pyproject.tomlorpyvenv.cfgfiles to detect the Python version
License
MIT
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
yard_agent-0.1.1.tar.gz
(11.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file yard_agent-0.1.1.tar.gz.
File metadata
- Download URL: yard_agent-0.1.1.tar.gz
- Upload date:
- Size: 11.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ce386fdb1ccc217cb219157a1846698265556b76ac5fbf05116606902ed436c6
|
|
| MD5 |
82f50b391d83fb918ed335f61bc32c33
|
|
| BLAKE2b-256 |
b765cbc00de59781edc51169c8a06b1681ea13f85ed3e23faa6e85e8c972afb9
|
File details
Details for the file yard_agent-0.1.1-py3-none-any.whl.
File metadata
- Download URL: yard_agent-0.1.1-py3-none-any.whl
- Upload date:
- Size: 14.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e9080d68c5bc5366d1fa89fc2cd5b16e811afde1780794d1b795cf955bd1cd20
|
|
| MD5 |
75bb57ae5f47c2ae88b9bde25a6ab933
|
|
| BLAKE2b-256 |
793a7c5dee749c3d815885bf109809572aa18d51c8ac2f4ec6141242e1408686
|