OpenAI command-line client

Installation

To install OpenAI CLI in Python virtual environment, run:

pip install openai-cli

Token authentication

OpenAI API requires authentication token, which can be obtained on this page: https://beta.openai.com/account/api-keys

Provide token to the CLI either through a command-line argument (-t/--token <TOKEN>) or through an environment variable (OPENAI_API_TOKEN).

Usage

Currently only text completion API is supported.

Example usage:

$ echo "Are cats faster than dogs?" | openai complete -
It depends on the breed of the cat and dog. Generally,
cats are faster than dogs over short distances,
but dogs are better at sustained running.

Interactive mode supported (Press Ctrl+C to exit):

$ openai repl
Prompt: Can generative AI replace humans?

No, generative AI cannot replace humans.
While generative AI can be used to automate certain tasks,
it cannot replace the creativity, intuition, and problem-solving
skills that humans possess.
Generative AI can be used to supplement human efforts,
but it cannot replace them.

Prompt: ^C

Run without arguments to get a short help message:

$ openai
Usage: openai [OPTIONS] COMMAND [ARGS]...

Options:
  --help  Show this message and exit.

Commands:
  complete  Return OpenAI completion for a prompt from SOURCE.
  repl      Start interactive shell session for OpenAI completion API.

Build a standalone binary using pex and move it into PATH:

$ make openai && mv openai ~/bin/
$ openai repl
Prompt:

Alternative API URL

CLI invokes https://api.openai.com/v1/completions by default. To override the endpoint URL, set OPENAI_API_URL environment variable.

Example usage

Here's an example usage scenario, where we first create a Python module with a Fibonacci function implementation, and then generate a unit test for it:

$ mkdir examples
$ touch examples/__init__.py
$ echo "Write Python function to calculate Fibonacci numbers" | openai complete - | black - > examples/fib.py
$ (echo 'Write unit tests for this Python module named "fib":\n'; cat examples/fib.py) | openai complete - | black - > examples/test_fib.py
$ pytest -v examples/test_fib.py
============================== test session starts ==============================

examples/test_fib.py::TestFibonacci::test_eighth_fibonacci_number PASSED                                 [ 10%]
examples/test_fib.py::TestFibonacci::test_fifth_fibonacci_number PASSED                                  [ 20%]
examples/test_fib.py::TestFibonacci::test_first_fibonacci_number PASSED                                  [ 30%]
examples/test_fib.py::TestFibonacci::test_fourth_fibonacci_number PASSED                                 [ 40%]
examples/test_fib.py::TestFibonacci::test_negative_input PASSED                                          [ 50%]
examples/test_fib.py::TestFibonacci::test_ninth_fibonacci_number PASSED                                  [ 60%]
examples/test_fib.py::TestFibonacci::test_second_fibonacci_number PASSED                                 [ 70%]
examples/test_fib.py::TestFibonacci::test_seventh_fibonacci_number PASSED                                [ 80%]
examples/test_fib.py::TestFibonacci::test_sixth_fibonacci_number PASSED                                  [ 90%]
examples/test_fib.py::TestFibonacci::test_third_fibonacci_number PASSED                                  [100%]

=============================== 10 passed in 0.02s ==============================

$ cat examples/fib.py

def Fibonacci(n):
    if n < 0:
        print("Incorrect input")
    # First Fibonacci number is 0
    elif n == 1:
        return 0
    # Second Fibonacci number is 1
    elif n == 2:
        return 1
    else:
        return Fibonacci(n - 1) + Fibonacci(n - 2)

$ cat examples/test_fib.py

import unittest
from .fib import Fibonacci


class TestFibonacci(unittest.TestCase):
    def test_negative_input(self):
        self.assertEqual(Fibonacci(-1), None)

    def test_first_fibonacci_number(self):
        self.assertEqual(Fibonacci(1), 0)

    def test_second_fibonacci_number(self):
        self.assertEqual(Fibonacci(2), 1)

    def test_third_fibonacci_number(self):
        self.assertEqual(Fibonacci(3), 1)

    def test_fourth_fibonacci_number(self):
        self.assertEqual(Fibonacci(4), 2)

    def test_fifth_fibonacci_number(self):
        self.assertEqual(Fibonacci(5), 3)

    def test_sixth_fibonacci_number(self):
        self.assertEqual(Fibonacci(6), 5)

    def test_seventh_fibonacci_number(self):
        self.assertEqual(Fibonacci(7), 8)

    def test_eighth_fibonacci_number(self):
        self.assertEqual(Fibonacci(8), 13)

    def test_ninth_fibonacci_number(self):
        self.assertEqual(Fibonacci(9), 21)


if __name__ == "__main__":
    unittest.main()

$ (echo "Add type annotations for this Python code"; cat examples/fib.py) | openai complete - | black - | tee tmp && mv tmp examples/fib.py

def Fibonacci(n: int) -> int:
    if n < 0:
        print("Incorrect input")
    # First Fibonacci number is 0
    elif n == 1:
        return 0
    # Second Fibonacci number is 1
    elif n == 2:
        return 1
    else:
        return Fibonacci(n - 1) + Fibonacci(n - 2)

$ mypy examples/fib.py
examples/fib.py:1: error: Missing return statement  [return]
Found 1 error in 1 file (checked 1 source file)

$ (echo "Fix mypy warnings in this Python code"; cat examples/fib.py; mypy examples/fib.py) | openai complete - | black - | tee tmp && mv tmp examples/fib.py

def Fibonacci(n: int) -> int:
    if n < 0:
        print("Incorrect input")
    # First Fibonacci number is 0
    elif n == 1:
        return 0
    # Second Fibonacci number is 1
    elif n == 2:
        return 1
    else:
        return Fibonacci(n - 1) + Fibonacci(n - 2)
    return None  # Added return statement

$ mypy examples/fib.py
examples/fib.py:12: error: Incompatible return value type (got "None", expected "int")  [return-value]
Found 1 error in 1 file (checked 1 source file)

$ (echo "Fix mypy warnings in this Python code"; cat examples/fib.py; mypy examples/fib.py) | openai complete - | black - | tee tmp && mv tmp examples/fib.py

def Fibonacci(n: int) -> int:
    if n < 0:
        print("Incorrect input")
    # First Fibonacci number is 0
    elif n == 1:
        return 0
    # Second Fibonacci number is 1
    elif n == 2:
        return 1
    else:
        return Fibonacci(n - 1) + Fibonacci(n - 2)
    return 0  # Changed return statement to return 0

$ mypy examples/fib.py
Success: no issues found in 1 source file

$ (echo "Rewrite these tests to use pytest.parametrized"; cat examples/test_fib.py) | openai complete - | black - | tee tmp && mv tmp examples/test_fib.py

import pytest
from .fib import Fibonacci


@pytest.mark.parametrize(
    "n, expected",
    [(1, 0), (2, 1), (3, 1), (4, 2), (5, 3), (6, 5), (7, 8), (8, 13), (9, 21), (10, 34)],
)
def test_fibonacci(n, expected):
    assert Fibonacci(n) == expected