Skip to main content

code_djinn - Your Coding Genie

Test Upload Python Package PyPI version Python versions Development Status

Code Djinn is a lightning-fast CLI assistant that generates shell. Code Djinn leverages fast and efficient LLM models like QwQ (Qween), Codestral (Mistral), and Gemini flash (Google) to provide quick responses to your coding queries. The focus on lightweight models ensures snappy performance and responsiveness, making it a practical tool for your daily coding tasks.

So why spend hours on obscure StackOverflow threads or try to remember arcane CLI commands? Let code_djinn handle the boring stuff so you can focus on building awesome projects! 🧞‍♂️

Installation

Installing Code Djinn from source via:

pip install git+https://github.com/phisanti/code_djinn.git

Usage

To use Code Djinn, you need to initialize the configuration first. This is a one-time process that will save your preferences and settings. Here’s how you do it:

code-djinn --init

This will prompt you to enter some information, such as:

  • Your OS family (e.g. Windows, MacOS, Linux). Code Djinn will try to detect it automatically, but you can also input it manually if it's wrong.
  • Your shell (e.g. bash, zsh, fish). Code Djinn will try to guess it from your environment variables, but you can also input it manually if it's wrong.
  • Your DeepInfra API key. This is required to access the AI engine that powers Code Djinn. Also, currently, the only model implemented is mistra7B, so, you have to activate that model.

Summon code-djinn by describing what you want to do:

Generate commands instantly:

# Basic command generation
code-djinn -a "list files by size"
# Output: ls -lhS

# With explanation
code-djinn -a -e "find large files"

# Execute with confirmation
code-djinn -x "show disk usage"

Available Commands

# Generate commands
code-djinn -a "your request"           # Fast command generation
code-djinn -a -e "your request"        # With explanation
code-djinn -a -v "your request"        # Verbose LLM output

# Execute commands safely  
code-djinn -x "your request"           # Generate and execute with confirmation

# Utilities
code-djinn --init                      # Setup configuration
code-djinn --list-models              # Show available LLM models
code-djinn -t "your request"          # Test prompt generation
code-djinn --clear-cache              # Clear performance cache

Supported Providers & Models

  • DeepInfra: QwQ-32B, Qwen2.5-Coder-32B, Mistral-Small-24B
  • MistralAI: codestral-2501, mistral-small-2503
  • Google: gemini-2.0-flash

If you have any doubt, please open an issue!

Help

Currently, this tool is quite simple and all documentation can be found through the --help flag. Here is a quick summary:

❯ code-djinn --help                                                                                                                                                                                                                                                                                                                                                                                                                                                                             (codedjinn_dev) 
usage: code_djinn [-h] [-i] [-a [WISH]] [-t [WISH]] [-e] [-v] [--list-models] [-x [WISH]] [--clear-cache]

An AI CLI assistant

options:
  -h, --help            show this help message and exit
  -i, --init            Initialize the configuration
  -a [WISH], --ask [WISH]
                        Get a shell command for the given wish
  -t [WISH], --test [WISH]
                        Test the prompt for the given wish
  -e, --explain         Also provide an explanation for the command
  -v, --verbose         Verbose output from AI
  --list-models         List available models for all providers
  -x [WISH], --execute [WISH]
                        Generate and execute a shell command for the given wish
  --clear-cache         Clear LLM client cache for troubleshooting

Bonus

What's djinn (“جن”)? In Arabic mythology, a Djinn (also spelled as Jinn or Genie) is a supernatural creature that is made from smokeless and scorching fire. They are often depicted as powerful and free-willed beings who can be either benevolent or malevolent. Djinns are believed to have the ability to shape-shift and can take on various forms, such as humans or animals. They are also known for their exceptional strength and their ability to travel great distances at extreme speeds. Despite their supernatural abilities, Djinns, like humans, are subject to judgment and will either be condemned to hell or rewarded with heaven in the afterlife.

Metadata

Release files for code-djinn 0.2.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for code-djinn 0.2.2
File Size Uploaded
code_djinn-0.2.2.tar.gz 28.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for code-djinn 0.2.2
File Interpreter ABI Platform
code_djinn-0.2.2-py3-none-any.whl Python 3 none any Details

Total release size: 64.9 kB

Release files / code_djinn-0.2.2.tar.gz

Download URL code_djinn-0.2.2.tar.gz
Size 28.5 kB
Tags Source
SHA-256 checksum
How to use checksums
d46de72f21751be7bb117956ff8da738cea707430ac1910bd13aa536fb98b29b
BLAKE2b-256 checksum
How to use checksums
ed2fc64b5888cac048fedc50c236f887adb4c129fe9945b37d9e7faf5156e634
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

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 Jul 28, 2025.

Transparency log

Release files / code_djinn-0.2.2-py3-none-any.whl

Download URL code_djinn-0.2.2-py3-none-any.whl
Size 36.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
80403f045f525db0477659ef3cf05750aa155874f4628109f684c6d2eeca3968
BLAKE2b-256 checksum
How to use checksums
0734993f6122b3292f5bc536a4e6c1fac869880e994f1332c816785af94c6cc5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

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 Jul 28, 2025.

Transparency log

Release history Release notifications | RSS feed

This release

0.2.2 This release

2 release files

0.2.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page