Use Open AI models in xonsh shell.
If you like the idea click ⭐ on the repo and tweet.
Installation
To install use pip:
xpip install -U xontrib-openai
# or: xpip install -U git+https://github.com/anki-code/xontrib-openai
Usage
$OPENAI_API_KEY = 'abcd1234' # https://platform.openai.com/account/api-keys
# Defaults:
# $OPENAI_MODEL = 'text-davinci-003' # https://platform.openai.com/docs/models/overview
# $OPENAI_MAX_TOKENS = 500
xontrib load openai
ai! hello
# Hello! How are you?
In case you need addon with new model:
aliases['ai4'] = "$OPENAI_MODEL='gpt-4' $OPENAI_MAX_TOKENS=1000 @('ai')"
ai4! hello gpt-4
# Hello human
Get shell commands
ai! how to git commit. Give me only command
# git commit -m "Commit message"
ai! how to remove all containers and images in docker. Only commands please
# docker stop $(docker ps -a -q)
# docker rm $(docker ps -a -q)
# docker rmi $(docker images -a -q)
Get Python code
ai! send post request with json data on python
# import requests
# import json
#
# url = 'http://example.com/api/1/users'
# data = {
# "first_name": "John",
# "last_name": "Smith"
# }
#
# headers = {'Content-type': 'application/json'}
# response = requests.post(url, data=json.dumps(data), headers=headers)
Generate data
ai! give me json where keys are fruits and values are most common fruit color
# {
# "Apple": "Red",
# "Banana": "Yellow",
# "Orange": "Orange",
# "Grape": "Purple",
# "Strawberry": "Red",
# "Lemon": "Yellow",
# "Kiwi": "Green",
# "Cherry": "Red",
# "Watermelon": "Green"
# }
Using the data:
import json
j = json.loads($(ai give me small json))
j
# {'name': 'John', 'age': 25}
Known issues
To use gpt-4 model join wait list.
Credits
This package was created with xontrib template.
Metadata
Release files for xontrib-openai 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 |
|---|---|---|---|---|
| xontrib_openai-0.1.0.tar.gz | 3.1 kB | Without provenance | Details for xontrib_openai-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| xontrib_openai-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for xontrib_openai-0.1.0-py3-none-any.whl |
Total release size: 6.5 kB
Release files / xontrib_openai-0.1.0.tar.gz
| Download URL | xontrib_openai-0.1.0.tar.gz |
|---|---|
| Size | 3.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0c10632c94bb19f97540b6f114e886b0c7820b57892dbd71d44899b6fdd05da0
|
|
BLAKE2b-256 checksum How to use checksums |
fcbd56413c4ce62b6a6f211201a60ad1d190ce842037dafa192eaab5c8ab3fef
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
Release files / xontrib_openai-0.1.0-py3-none-any.whl
| Download URL | xontrib_openai-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a22331364affa1a726437f61941974a618bd8d93971c00f4ddcdfc7047ef59da
|
|
BLAKE2b-256 checksum How to use checksums |
f06915f79a38d6ff04eccfee23141f69f76952303fbc0078f40b81a6d3716853
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
Security for xontrib-openai 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.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A 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.