diff --git a/README.md b/README.md
index ecc8b15..e08fb98 100644
--- a/README.md
+++ b/README.md
@@ -1,59 +1,32 @@
-# CMI-DAIR Template Python Repository
-
-This is a template repository. Below is a checklist of things you should do to use it:
-
-- [x] Run `setup_template.py` to set up the repository.
-- [ ] Rewrite this `README` file.
-- [ ] Install the `pre-commit` hooks.
-- [x] Update the `LICENSE` file to your desired license and set the year.
-- [ ] Update the supported versions in `SECURITY.md` or, if not relevant, delete this file.
-- [ ] Remove the placeholder src and test files, these are there merely to show how the CI works.
-- [ ] Grant third-party app permissions (e.g. Codecov) [here](https://github.com/organizations/cmi-dair/settings/installations), if necessary.
-- [ ] Either generate a `CODECOV_TOKEN` secret [here](https://github.com/cmi-dair/flowdump/blob/main/.github/workflows/python_tests.yaml) (if its a private repository) or remove the line `token: ${{ secrets.CODECOV_TOKEN }}`
-- [ ] API docs website: After the first successful build, go to the `Settings` tab of your repository, scroll down to the `GitHub Pages` section, and select `gh-pages` as the source. This will generate a link to your API docs.
-- [ ] Update stability badge in `README.md` to reflect the current state of the project. A list of stability badges to copy can be found [here](https://github.com/orangemug/stability-badges). The [node documentation](https://nodejs.org/docs/latest-v20.x/api/documentation.html#documentation_stability_index) can be used as a reference for the stability levels.
-
-# Project name
+# CLI-OAI
 
 [![Build](https://github.com/cmi-dair/cli-oai/actions/workflows/test.yaml/badge.svg?branch=main)](https://github.com/cmi-dair/cli-oai/actions/workflows/test.yaml?query=branch%3Amain)
 [![codecov](https://codecov.io/gh/cmi-dair/cli-oai/branch/main/graph/badge.svg?token=22HWWFWPW5)](https://codecov.io/gh/cmi-dair/cli-oai)
 [![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
 ![stability-wip](https://img.shields.io/badge/stability-work_in_progress-lightgrey.svg)
-[![MIT License](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/cmi-dair/cli-oai/blob/main/LICENSE)
+[![MIT License](https://img.shields.io/badge/license-LGPL_2.1-blue.svg)](https://github.com/cmi-dair/cli-oai/blob/main/LICENSE)
 [![pages](https://img.shields.io/badge/api-docs-blue)](https://cmi-dair.github.io/cli-oai)
 
-What problem does this tool solve?
+CLI-OAI is a Python command-line interface for interacting with the OpenAI API.
 
-## Features
+## Usage
 
-- A few
-- Cool
-- Things
+Before running oai, make sure the environment variable OPENAI_API_KEY is set to
+your API key. To use the CLI, run `oai --help` in your terminal. See the `--help`
+function of the subcommands for more information on each command.
 
 ## Installation
 
-Install this package via :
-
-```sh
-pip install oai
-```
-
-Or get the newest development version via:
+Get the newest development version via:
 
 ```sh
-pip install git+https://github.com/cmi-dair/cli-oai
+poetry add git+https://github.com/cmi-dair/cli-oai
 ```
 
-## Quick start
-
-Short tutorial, maybe with a
+## Contributing
 
-```Python
-import oai
-
-oai.short_example()
-```
+Please see the [contributing guidelines](CONTRIBUTING.md) for guidelines on contributing to this project.
 
-## Links or References
+## License
 
-- [https://www.wikipedia.de](https://www.wikipedia.de)
+This project is licensed under the terms of the [L-GPLv2.1 license](LICENSE).
diff --git a/SECURITY.md b/SECURITY.md
deleted file mode 100644
index 608bbc9..0000000
--- a/SECURITY.md
+++ /dev/null
@@ -1,20 +0,0 @@
-# Security
-
-Child Mind Institute values the security of our users, data, and servers. We take the security of our systems seriously and encourage users to report any suspected security vulnerabilities promptly.
-
-## Supported Versions
-
-MODIFY:
-
-Note which version(s) will receive security updates. For example:
-
-| Version | Supported          |
-| ------- | ------------------ |
-| 1.0.x   | :white_check_mark: |
-| 0.9.x   | :x:                |
-
-## Reporting Vulnerabilities
-
-To report security vulnerabilities, please do NOT use our issues page. Instead, kindly email us at reinder.vosdewael@childmind.org. Please refrain from using other communication channels.
-
-For non-security-related issues, we welcome your input and feedback on our issues page. Feel free to share your ideas and suggestions to help us improve our services.
diff --git a/poetry.lock b/poetry.lock
index 0d2c4d3..62d06a7 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,46 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
+
+[[package]]
+name = "annotated-types"
+version = "0.6.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
+    {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
+]
+
+[[package]]
+name = "anyio"
+version = "3.7.1"
+description = "High level compatibility layer for multiple asynchronous event loop implementations"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "anyio-3.7.1-py3-none-any.whl", hash = "sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5"},
+    {file = "anyio-3.7.1.tar.gz", hash = "sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780"},
+]
+
+[package.dependencies]
+idna = ">=2.8"
+sniffio = ">=1.1"
+
+[package.extras]
+doc = ["Sphinx", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme (>=1.2.2)", "sphinxcontrib-jquery"]
+test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
+trio = ["trio (<0.22)"]
+
+[[package]]
+name = "certifi"
+version = "2023.11.17"
+description = "Python package for providing Mozilla's CA Bundle."
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
+    {file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
+]
 
 [[package]]
 name = "cfgv"
@@ -11,6 +53,105 @@ files = [
     {file = "cfgv-3.3.1.tar.gz", hash = "sha256:f5a830efb9ce7a445376bb66ec94c638a9787422f96264c98edc6bdeed8ab736"},
 ]
 
+[[package]]
+name = "charset-normalizer"
+version = "3.3.2"
+description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
+optional = false
+python-versions = ">=3.7.0"
+files = [
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 version = "0.4.6"
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+optional = false
+python-versions = ">=3.6"
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+[[package]]
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+description = "Python bindings for FFmpeg - with complex filtering support"
+optional = false
+python-versions = "*"
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+
 [[package]]
 name = "filelock"
 version = "3.12.2"
@@ -120,6 +289,72 @@ files = [
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+description = "Clean single-source support for Python 3 and 2"
+optional = false
+python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
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+optional = false
+python-versions = ">=3.7"
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+description = "A minimal low-level HTTP client."
+optional = false
+python-versions = ">=3.8"
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+[package.dependencies]
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+
+[package.extras]
+asyncio = ["anyio (>=4.0,<5.0)"]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+trio = ["trio (>=0.22.0,<0.23.0)"]
+
+[[package]]
+name = "httpx"
+version = "0.25.2"
+description = "The next generation HTTP client."
+optional = false
+python-versions = ">=3.8"
+files = [
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+[package.dependencies]
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+certifi = "*"
+httpcore = "==1.*"
+idna = "*"
+sniffio = "*"
+
+[package.extras]
+brotli = ["brotli", "brotlicffi"]
+cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+
 [[package]]
 name = "identify"
 version = "2.5.24"
@@ -134,6 +369,17 @@ files = [
 [package.extras]
 license = ["ukkonen"]
 
+[[package]]
+name = "idna"
+version = "3.6"
+description = "Internationalized Domain Names in Applications (IDNA)"
+optional = false
+python-versions = ">=3.5"
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+
 [[package]]
 name = "iniconfig"
 version = "2.0.0"
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@@ -302,6 +538,29 @@ files = [
 [package.dependencies]
 setuptools = "*"
 
+[[package]]
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+version = "1.3.7"
+description = "The official Python library for the openai API"
+optional = false
+python-versions = ">=3.7.1"
+files = [
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+]
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+pydantic = ">=1.9.0,<3"
+sniffio = "*"
+tqdm = ">4"
+typing-extensions = ">=4.5,<5"
+
+[package.extras]
+datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
+
 [[package]]
 name = "packaging"
 version = "23.1"
@@ -380,6 +639,157 @@ nodeenv = ">=0.11.1"
 pyyaml = ">=5.1"
 virtualenv = ">=20.10.0"
 
+[[package]]
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+version = "2.5.2"
+description = "Data validation using Python type hints"
+optional = false
+python-versions = ">=3.7"
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+typing-extensions = ">=4.6.1"
+
+[package.extras]
+email = ["email-validator (>=2.0.0)"]
+
+[[package]]
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+version = "2.14.5"
+description = ""
+optional = false
+python-versions = ">=3.7"
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+    {file = "pydantic_core-2.14.5-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:206ed23aecd67c71daf5c02c3cd19c0501b01ef3cbf7782db9e4e051426b3d0d"},
+    {file = "pydantic_core-2.14.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c2027d05c8aebe61d898d4cffd774840a9cb82ed356ba47a90d99ad768f39789"},
+    {file = "pydantic_core-2.14.5-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:40180930807ce806aa71eda5a5a5447abb6b6a3c0b4b3b1b1962651906484d68"},
+    {file = "pydantic_core-2.14.5-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:615a0a4bff11c45eb3c1996ceed5bdaa2f7b432425253a7c2eed33bb86d80abc"},
+    {file = "pydantic_core-2.14.5-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f5e412d717366e0677ef767eac93566582518fe8be923361a5c204c1a62eaafe"},
+    {file = "pydantic_core-2.14.5-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:513b07e99c0a267b1d954243845d8a833758a6726a3b5d8948306e3fe14675e3"},
+    {file = "pydantic_core-2.14.5.tar.gz", hash = "sha256:6d30226dfc816dd0fdf120cae611dd2215117e4f9b124af8c60ab9093b6e8e71"},
+]
+
+[package.dependencies]
+typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
+
+[[package]]
+name = "pydantic-settings"
+version = "2.1.0"
+description = "Settings management using Pydantic"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pydantic_settings-2.1.0-py3-none-any.whl", hash = "sha256:7621c0cb5d90d1140d2f0ef557bdf03573aac7035948109adf2574770b77605a"},
+    {file = "pydantic_settings-2.1.0.tar.gz", hash = "sha256:26b1492e0a24755626ac5e6d715e9077ab7ad4fb5f19a8b7ed7011d52f36141c"},
+]
+
+[package.dependencies]
+pydantic = ">=2.3.0"
+python-dotenv = ">=0.21.0"
+
 [[package]]
 name = "pygments"
 version = "2.15.1"
@@ -414,6 +824,24 @@ pluggy = ">=0.12,<2.0"
 [package.extras]
 testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
 
+[[package]]
+name = "pytest-asyncio"
+version = "0.23.2"
+description = "Pytest support for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pytest-asyncio-0.23.2.tar.gz", hash = "sha256:c16052382554c7b22d48782ab3438d5b10f8cf7a4bdcae7f0f67f097d95beecc"},
+    {file = "pytest_asyncio-0.23.2-py3-none-any.whl", hash = "sha256:ea9021364e32d58f0be43b91c6233fb8d2224ccef2398d6837559e587682808f"},
+]
+
+[package.dependencies]
+pytest = ">=7.0.0"
+
+[package.extras]
+docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1.0)"]
+testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
+
 [[package]]
 name = "pytest-cov"
 version = "4.1.0"
@@ -432,6 +860,37 @@ pytest = ">=4.6"
 [package.extras]
 testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtualenv"]
 
+[[package]]
+name = "pytest-mock"
+version = "3.12.0"
+description = "Thin-wrapper around the mock package for easier use with pytest"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pytest-mock-3.12.0.tar.gz", hash = "sha256:31a40f038c22cad32287bb43932054451ff5583ff094bca6f675df2f8bc1a6e9"},
+    {file = "pytest_mock-3.12.0-py3-none-any.whl", hash = "sha256:0972719a7263072da3a21c7f4773069bcc7486027d7e8e1f81d98a47e701bc4f"},
+]
+
+[package.dependencies]
+pytest = ">=5.0"
+
+[package.extras]
+dev = ["pre-commit", "pytest-asyncio", "tox"]
+
+[[package]]
+name = "python-dotenv"
+version = "1.0.0"
+description = "Read key-value pairs from a .env file and set them as environment variables"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "python-dotenv-1.0.0.tar.gz", hash = "sha256:a8df96034aae6d2d50a4ebe8216326c61c3eb64836776504fcca410e5937a3ba"},
+    {file = "python_dotenv-1.0.0-py3-none-any.whl", hash = "sha256:f5971a9226b701070a4bf2c38c89e5a3f0d64de8debda981d1db98583009122a"},
+]
+
+[package.extras]
+cli = ["click (>=5.0)"]
+
 [[package]]
 name = "pyyaml"
 version = "6.0"
@@ -481,6 +940,27 @@ files = [
     {file = "PyYAML-6.0.tar.gz", hash = "sha256:68fb519c14306fec9720a2a5b45bc9f0c8d1b9c72adf45c37baedfcd949c35a2"},
 ]
 
+[[package]]
+name = "requests"
+version = "2.31.0"
+description = "Python HTTP for Humans."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"},
+    {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"},
+]
+
+[package.dependencies]
+certifi = ">=2017.4.17"
+charset-normalizer = ">=2,<4"
+idna = ">=2.5,<4"
+urllib3 = ">=1.21.1,<3"
+
+[package.extras]
+socks = ["PySocks (>=1.5.6,!=1.5.7)"]
+use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
+
 [[package]]
 name = "ruff"
 version = "0.1.7"
@@ -523,6 +1003,37 @@ docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-g
 testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
 testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
 
+[[package]]
+name = "sniffio"
+version = "1.3.0"
+description = "Sniff out which async library your code is running under"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "sniffio-1.3.0-py3-none-any.whl", hash = "sha256:eecefdce1e5bbfb7ad2eeaabf7c1eeb404d7757c379bd1f7e5cce9d8bf425384"},
+    {file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"},
+]
+
+[[package]]
+name = "tqdm"
+version = "4.66.1"
+description = "Fast, Extensible Progress Meter"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "tqdm-4.66.1-py3-none-any.whl", hash = "sha256:d302b3c5b53d47bce91fea46679d9c3c6508cf6332229aa1e7d8653723793386"},
+    {file = "tqdm-4.66.1.tar.gz", hash = "sha256:d88e651f9db8d8551a62556d3cff9e3034274ca5d66e93197cf2490e2dcb69c7"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
+[package.extras]
+dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
+notebook = ["ipywidgets (>=6)"]
+slack = ["slack-sdk"]
+telegram = ["requests"]
+
 [[package]]
 name = "typing-extensions"
 version = "4.7.1"
@@ -534,6 +1045,22 @@ files = [
     {file = "typing_extensions-4.7.1.tar.gz", hash = "sha256:b75ddc264f0ba5615db7ba217daeb99701ad295353c45f9e95963337ceeeffb2"},
 ]
 
+[[package]]
+name = "urllib3"
+version = "2.1.0"
+description = "HTTP library with thread-safe connection pooling, file post, and more."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "urllib3-2.1.0-py3-none-any.whl", hash = "sha256:55901e917a5896a349ff771be919f8bd99aff50b79fe58fec595eb37bbc56bb3"},
+    {file = "urllib3-2.1.0.tar.gz", hash = "sha256:df7aa8afb0148fa78488e7899b2c59b5f4ffcfa82e6c54ccb9dd37c1d7b52d54"},
+]
+
+[package.extras]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
+zstd = ["zstandard (>=0.18.0)"]
+
 [[package]]
 name = "virtualenv"
 version = "20.23.1"
@@ -560,4 +1087,4 @@ docs = []
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.11"
-content-hash = "1adeeb04a8b0fa4c624b44b179d7393f46f4e30c883c2a227fdca414a1842daa"
+content-hash = "dd40064dfcd3cf2ae2b906cef8dee76cf2901baed0f4f7e8a5fdb962ebb6bdd0"
diff --git a/pyproject.toml b/pyproject.toml
index 2933b1e..e8345e7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -9,6 +9,11 @@ packages = [{include = "oai", from = "src"}]
 
 [tool.poetry.dependencies]
 python = "^3.11"
+pydantic-settings = "^2.1.0"
+pydantic = "^2.5.2"
+ffmpeg-python = "^0.2.0"
+openai = "^1.3.7"
+requests = "^2.31.0"
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^7.4.3"
@@ -16,6 +21,8 @@ mypy = "^1.7.1"
 pre-commit = "^3.5.0"
 pytest-cov = "^4.1.0"
 ruff = "^0.1.7"
+pytest-mock = "^3.12.0"
+pytest-asyncio = "^0.23.2"
 
 [tool.poetry.group.docs.dependencies]
 pdoc = "^14.1.0"
@@ -28,43 +35,48 @@ pythonpath = [
   "src"
 ]
 
+[tool.poetry.scripts]
+oai = 'oai.__main__:main'
+
 [tool.mypy]
 ignore_missing_imports = true
 
 [tool.ruff]
 exclude = [
-  ".bzr",
-  ".direnv",
-  ".eggs",
-  ".git",
-  ".git-rewrite",
-  ".hg",
-  ".mypy_cache",
-  ".nox",
-  ".pants.d",
-  ".pytype",
-  ".ruff_cache",
-  ".svn",
-  ".tox",
-  ".venv",
-  "__pypackages__",
-  "_build",
-  "buck-out",
-  "build",
-  "dist",
-  "node_modules",
-  "venv"
+    ".bzr",
+    ".direnv",
+    ".eggs",
+    ".git",
+    ".git-rewrite",
+    ".hg",
+    ".mypy_cache",
+    ".nox",
+    ".pants.d",
+    ".pytype",
+    ".ruff_cache",
+    ".svn",
+    ".tox",
+    ".venv",
+    "__pypackages__",
+    "_build",
+    "buck-out",
+    "build",
+    "dist",
+    "node_modules",
+    "venv",
 ]
 line-length = 88
 indent-width = 4
-src = ["src"]
+src=["src"]
+
 target-version = "py311"
 
 [tool.ruff.lint]
-select = ["ANN", "D", "E", "F", "I"]
+select = ["ALL"]
 ignore = [
-  "ANN101",  # self should not be annotated.
-  "ANN102"  # cls should not be annotated.
+  "ANN101", # Self should never be type annotated.
+  "ANN102", # cls should never be type annotated.
+  "B008", # Allow function call in arguments; this is common in FastAPI.
 ]
 fixable = ["ALL"]
 unfixable = []
@@ -80,8 +92,16 @@ line-ending = "auto"
 convention = "google"
 
 [tool.ruff.per-file-ignores]
-"tests/**/*.py" = []
-
-[build-system]
-requires = ["poetry-core>=1.2.0"]
-build-backend = "poetry.core.masonry.api"
+"tests/**/*.py" = [
+    "S101", # Allow assets
+    "ARG", # Unused arguments are common in tests (fixtures).
+    "FBT", #Allow positional booleans
+    "SLF001", # Allow private member access.
+    "INP001", # No need for namespace packages in tests.
+]
+"src/**/models.py" = [
+    "A003", # Allow id as a field name.
+]
+"src/**/schemas.py" = [
+    "A003", # Allow id as a field name.
+]
diff --git a/src/oai/__main__.py b/src/oai/__main__.py
new file mode 100644
index 0000000..ff832b8
--- /dev/null
+++ b/src/oai/__main__.py
@@ -0,0 +1,13 @@
+"""Entry point of the OAI package."""
+import asyncio
+
+from oai.cli import parser
+
+
+def main() -> None:
+    """Entry point for the CLI."""
+    asyncio.run(parser.parse_args())
+
+
+if __name__ == "__main__":
+    main()
diff --git a/src/oai/algorithms.py b/src/oai/algorithms.py
deleted file mode 100644
index a248bf2..0000000
--- a/src/oai/algorithms.py
+++ /dev/null
@@ -1,23 +0,0 @@
-"""Example functions for oai."""
-
-
-def fibonacci(n: int) -> int:
-    """Return the n-th Fibonacci number.
-
-    Args:
-        n: The index of the Fibonacci number to return.
-
-    Returns:
-        The n-th Fibonacci number.
-    """
-    if n < 0:
-        raise ValueError("n must be non-negative")
-
-    if int(n) != n:
-        raise ValueError("n must be an integer")
-
-    if n == 0:
-        return 0
-    if n <= 2:
-        return 1
-    return fibonacci(n - 1) + fibonacci(n - 2)
diff --git a/src/oai/cli/__init__.py b/src/oai/cli/__init__.py
new file mode 100644
index 0000000..d32ed97
--- /dev/null
+++ b/src/oai/cli/__init__.py
@@ -0,0 +1 @@
+"""Modules for the Command Line Interface."""
diff --git a/src/oai/cli/commands.py b/src/oai/cli/commands.py
new file mode 100644
index 0000000..9f35a01
--- /dev/null
+++ b/src/oai/cli/commands.py
@@ -0,0 +1,101 @@
+"""Contains the core business logic of the OpenAI CLI."""
+import asyncio
+import logging
+import pathlib
+import tempfile
+
+import ffmpeg
+
+from oai import openai_api
+from oai.cli import utils
+from oai.core import config
+
+settings = config.get_settings()
+logger = logging.getLogger(settings.LOGGER_NAME)
+MAX_FILE_SIZE = 24_500_000  # Max size is 25MB, but we leave some room for error.
+
+
+async def speech_to_text(
+    filename: pathlib.Path,
+    model: str,
+    *,
+    clip: bool = False,
+) -> str:
+    """Transcribes audio files with OpenAI's TTS models.
+
+    Args:
+        filename: The file to transcribe. Can be any format that ffmpeg supports.
+        model: The transcription model to use.
+        voice: The voice to use.
+        clip: Whether to clip the file if it is too large, defaults to False.
+    """
+    with tempfile.TemporaryDirectory() as temp_dir:
+        temp_file = pathlib.Path(temp_dir) / "temp.mp3"
+        ffmpeg.input(filename).output(str(temp_file)).overwrite_output().run()
+
+        if clip:
+            files = utils.clip_audio(temp_file, temp_dir, MAX_FILE_SIZE)
+        else:
+            files = [temp_file]
+
+        stt = openai_api.SpeechToText()
+        transcription_promises = [stt.run(filename, model=model) for filename in files]
+        transcriptions = await asyncio.gather(*transcription_promises)
+
+        return " ".join(transcriptions)
+
+
+async def text_to_speech(
+    text: str,
+    output_file: str,
+    model: str,
+    voice: str,
+) -> bytes:
+    """Converts text to speech with OpenAI's TTS models.
+
+    Args:
+        text: The text to convert to speech.
+        output_file: The name of the output file.
+        model: The model to use.
+        voice: The voice to use.
+    """
+    tts = openai_api.TextToSpeech()
+    return await tts.run(text, output_file, model=model, voice=voice)
+
+
+async def image_generation(  # noqa: PLR0913
+    prompt: str,
+    output_base_name: str,
+    model: str,
+    width: int,
+    height: int,
+    quality: str,
+    n: int,
+) -> None:
+    """Generates an image from text with OpenAI's Image Generation models.
+
+    Args:
+        prompt: The text to generate an image from.
+        output_base_name: The base name of the output file.
+        model: The model to use.
+        width: The width of the generated image. Defaults to 1024.
+        height: The height of the generated image. Defaults to 1024.
+        quality: The quality of the generated image. Defaults to "standard".
+        n: The number of images to generate. Defaults to 1.
+
+    Returns:
+        bytes: The generated image as bytes.
+    """
+    image_generation = openai_api.ImageGeneration()
+    urls = await image_generation.run(
+        prompt,
+        model=model,
+        width=width,
+        height=height,
+        quality=quality,
+        n=n,
+    )
+
+    for index, url in enumerate(urls):
+        file = pathlib.Path(f"{output_base_name}_{index}.png")
+        utils.download_file(file, url)
diff --git a/src/oai/cli/parser.py b/src/oai/cli/parser.py
new file mode 100644
index 0000000..129bb82
--- /dev/null
+++ b/src/oai/cli/parser.py
@@ -0,0 +1,255 @@
+"""Command line interface for the OpenAI API."""
+import argparse
+import pathlib
+import sys
+
+from oai.cli import commands
+from oai.core import config
+
+logger = config.get_logger()
+
+
+PARSER_DEFAULTS = {
+    "epilog": "Please report issues at https://github.com/cmi-dair/cli-oai.",
+    "formatter_class": argparse.ArgumentDefaultsHelpFormatter,
+}
+
+
+async def parse_args() -> None:
+    """Parse command line arguments and execute the corresponding command."""
+    parser = argparse.ArgumentParser(
+        prog="oai",
+        description="CLI wrapper for OpenAI's API",
+        **PARSER_DEFAULTS,
+    )
+    subparsers = parser.add_subparsers(dest="command")
+    _add_stt_parser(subparsers)
+    _add_tts_parser(subparsers)
+    _add_image_generation_parser(subparsers)
+
+    args = parser.parse_args()
+    validated_args = _post_validation(args)
+    if validated_args.command is None:
+        parser.print_usage()
+        sys.exit(1)
+
+    result = await run_command(validated_args)
+
+    if isinstance(result, str):
+        sys.stdout.write(result)
+
+
+async def run_command(args: argparse.ArgumentParser) -> str | bytes | None:
+    """Executes the specified command based on the provided arguments.
+
+    Args:
+        args: The parsed command-line arguments.
+
+    Returns:
+        str, bytes, None: The result of the executed command.
+    """
+    if args.command == "whisper":
+        result = await commands.speech_to_text(
+            filename=args.filename,
+            model=args.model,
+            clip=args.clip,
+        )
+    elif args.command == "gpt":
+        raise NotImplementedError
+    elif args.command == "dalle":
+        result = await commands.image_generation(
+            prompt=args.prompt,
+            output_base_name=args.base_image_name,
+            model=args.model,
+            width=args.width,
+            height=args.height,
+            quality=args.quality,
+            n=args.n,
+        )
+    elif args.command == "tts":
+        result = await commands.text_to_speech(
+            text=args.text,
+            model=args.model,
+            voice=args.voice,
+            output_file=args.output_file,
+        )
+    else:
+        msg = f"Unknown command {args.command}."
+        logger.error(msg)
+        raise ValueError(msg)
+    return result
+
+
+def _add_stt_parser(
+    subparsers: argparse._SubParsersAction,  # noqa: SLF001
+) -> None:
+    """Get the argument parser for the 'whisper' command.
+
+    Args:
+        subparsers (argparse._SubParsersAction): The subparsers object to add the
+            'whisper' command to.
+
+    Returns:
+        argparse.ArgumentParser: The argument parser for the 'whisper' command.
+    """
+    stt_parser = subparsers.add_parser(
+        "whisper",
+        description="Transcribes audio files with OpenAI's Whisper.",
+        **PARSER_DEFAULTS,
+    )
+    stt_parser.add_argument(
+        "filename",
+        help="The file to transcribe. Can be any format that ffmpeg supports.",
+        type=pathlib.Path,
+    )
+    stt_parser.add_argument(
+        "--clip",
+        help="Clip the file if it is too large.",
+        action="store_true",
+    )
+    stt_parser.add_argument(
+        "--model",
+        help=(
+            "The transcription model to use. Consult OpenAI's documentation for an"
+            " up-to-date list of models."
+        ),
+        default="whisper-1",
+    )
+
+
+def _add_tts_parser(
+    subparsers: argparse._SubParsersAction,  # noqa: SLF001
+) -> None:
+    """Get the argument parser for the 'tts' command.
+
+    Args:
+        subparsers (argparse._SubParsersAction): The subparsers object to add the
+            'tts' command to.
+
+    Returns:
+        argparse.ArgumentParser: The argument parser for the 'tts' command.
+    """
+    tts_parser = subparsers.add_parser(
+        "tts",
+        description="Generates audio files with OpenAI's Jukebox.",
+        **PARSER_DEFAULTS,
+    )
+    tts_parser.add_argument(
+        "text",
+        help="The text to generate audio from.",
+        type=str,
+    )
+    tts_parser.add_argument(
+        "output_file",
+        help="The name of the output file.",
+        type=pathlib.Path,
+    )
+    tts_parser.add_argument(
+        "--model",
+        help=(
+            "The model to use. Consult OpenAI's documentation for an up-to-date list"
+            " of models."
+        ),
+        type=lambda x: x.lower(),
+        default="tts-1",
+    )
+    tts_parser.add_argument(
+        "--voice",
+        help="The voice to use.",
+        type=lambda x: x.lower(),
+        default="onyx",
+    )
+
+
+def _add_image_generation_parser(
+    subparsers: argparse._SubParsersAction,  # noqa: SLF001
+) -> None:
+    image_generation_parser = subparsers.add_parser(
+        "dalle",
+        description="Generates images with OpenAI's DALL-E.",
+        **PARSER_DEFAULTS,
+    )
+    image_generation_parser.add_argument(
+        "prompt",
+        help="The prompt to generate images from.",
+        type=str,
+    )
+    image_generation_parser.add_argument(
+        "base_image_name",
+        help="The base name for output images.",
+        type=str,
+    )
+    image_generation_parser.add_argument(
+        "--model",
+        help=(
+            "The model to use. Consult OpenAI's documentation for an up-to-date list"
+            " of models."
+        ),
+        type=lambda x: x.lower(),
+        default="dall-e-3",
+    )
+    image_generation_parser.add_argument(
+        "--width",
+        help="The width of the generated image.",
+        type=_positive_int_or_none,
+        default=None,
+    )
+    image_generation_parser.add_argument(
+        "--height",
+        help="The height of the generated image.",
+        type=_positive_int_or_none,
+        default=None,
+    )
+    image_generation_parser.add_argument(
+        "--quality",
+        help="The quality of the generated image.",
+        type=lambda x: x.lower(),
+        default="standard",
+    )
+    image_generation_parser.add_argument(
+        "--n",
+        help="The number of images to generate.",
+        type=_positive_int,
+        default=1,
+    )
+
+
+def _post_validation(args: argparse.ArgumentParser) -> argparse.ArgumentParser:
+    """Validate the parsed arguments.
+
+    Validation across arguments is not possible with the built-in argparse
+    validation. This function performs validation across arguments.
+
+    Args:
+        args: The parsed command-line arguments.
+
+    Returns:
+        argparse.ArgumentParser: The validated arguments.
+    """
+    if args.command == "dalle":
+        if args.width is None and args.height is None:
+            args.width = 1024
+            args.height = 1024
+        elif args.width is None:
+            args.width = args.height
+        elif args.height is None:
+            args.height = args.width
+    return args
+
+
+def _positive_int(value: int) -> int:
+    if int(value) <= 0:
+        msg = f"{value} is not a positive integer."
+        raise argparse.ArgumentTypeError(msg)
+    return int(value)
+
+
+def _positive_int_or_none(value: int) -> int | None:
+    """Converts the input to a positive integer or None.
+
+    Args:
+        value: The input to convert.
+    """
+    if value is None:
+        return None
+    return _positive_int(value)
diff --git a/src/oai/cli/utils.py b/src/oai/cli/utils.py
new file mode 100644
index 0000000..b021c08
--- /dev/null
+++ b/src/oai/cli/utils.py
@@ -0,0 +1,91 @@
+"""Contains the core business logic of the OpenAI CLI."""
+import math
+import pathlib
+import uuid
+from collections.abc import Generator
+
+import ffmpeg
+import requests
+
+from oai.core import config
+
+logger = config.get_logger()
+
+
+def clip_audio(
+    filename: str | pathlib.Path,
+    out_dir: str | pathlib.Path,
+    target_size: int,
+) -> Generator[pathlib.Path, None, None]:
+    """Clips the file to the maximum size.
+
+    Args:
+        filename: The file to clip.
+        out_dir: The directory to save the clipped files to.
+        target_size: The target size of the clipped files.
+    """
+    logger.warning(
+        "File too large. Clipping may lead to inaccurate results around the clips.",
+    )
+
+    file_size = get_file_size(filename)
+    n_files = (file_size // target_size) + 1
+    file_duration = get_audio_duration(filename)
+    clip_duration = math.ceil(file_duration / n_files)
+
+    uuid_id = uuid.uuid4()
+    output_file_pattern = pathlib.Path(out_dir) / f"audio_{uuid_id}_%03d.mp3"
+    stream = (
+        ffmpeg.input(str(filename))
+        .output(
+            str(output_file_pattern),
+            f="segment",
+            segment_time=clip_duration,
+        )
+        .overwrite_output()
+    )
+
+    logger.warning("Running ffmpeg: %s", " ".join(stream.compile()))
+    stream.run()
+
+    yield from pathlib.Path(out_dir).glob(f"*{uuid_id}*.mp3")
+
+
+def download_file(filename: str | pathlib.Path, url: str) -> None:
+    """Downloads a file from a URL.
+
+    Args:
+        filename: The name of the file to download.
+        url: The URL to download the file from.
+    """
+    response = requests.get(url, timeout=10)
+    response.raise_for_status()
+
+    with pathlib.Path(filename).open("wb") as file:
+        # Write bytes to file
+        file.write(response.content)
+
+
+def get_audio_duration(filename: str | pathlib.Path) -> float:
+    """Gets the duration of the audio file.
+
+    Args:
+        filename: The name of the audio file.
+
+    Returns:
+        float: The duration of the audio file.
+    """
+    probe = ffmpeg.probe(filename)
+    return float(probe["format"]["duration"])
+
+
+def get_file_size(filename: str | pathlib.Path) -> int:
+    """Gets the size of the file.
+
+    Args:
+        filename: The name of the file.
+
+    Returns:
+        int: The size of the file.
+    """
+    return pathlib.Path(filename).stat().st_size
diff --git a/src/oai/core/__init__.py b/src/oai/core/__init__.py
new file mode 100644
index 0000000..2c257ca
--- /dev/null
+++ b/src/oai/core/__init__.py
@@ -0,0 +1 @@
+"""Core modules of the OAI package."""
diff --git a/src/oai/core/config.py b/src/oai/core/config.py
new file mode 100644
index 0000000..248db73
--- /dev/null
+++ b/src/oai/core/config.py
@@ -0,0 +1,62 @@
+"""Configuration for the oai module."""
+import functools
+import logging
+from typing import Literal
+
+import pydantic
+import pydantic_settings
+
+
+class Settings(pydantic_settings.BaseSettings):
+    """Represents the settings for the oai module."""
+
+    LOGGER_NAME: str = "oai"
+    LOGGER_VERBOSITY: Literal["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"] = "DEBUG"
+
+    OPENAI_API_KEY: pydantic.SecretStr = pydantic.Field(
+        ...,
+        json_schema_extra={
+            "env": "OPENAI_API_KEY",
+            "description": "The API key for OpenAI.",
+        },
+    )
+
+
+@functools.lru_cache
+def get_settings() -> Settings:
+    """Cached fetcher for the API settings.
+
+    Returns:
+        The settings for the API.
+    """
+    return Settings()  # type: ignore[call-arg]
+
+
+def initialize_logger() -> None:
+    """Initializes the logger for the API."""
+    settings = get_settings()
+    logger = logging.getLogger(settings.LOGGER_NAME)
+    if settings.LOGGER_VERBOSITY is not None:
+        logger.setLevel(settings.LOGGER_VERBOSITY)
+
+    formatter = logging.Formatter(
+        "%(asctime)s - %(name)s - %(levelname)s - %(filename)s:%(lineno)s - %(funcName)s - %(message)s",  # noqa: E501
+    )
+
+    handler = logging.StreamHandler()
+    handler.setFormatter(formatter)
+    logger.addHandler(handler)
+    return logger
+
+
+def get_logger() -> logging.Logger:
+    """Gets the logger for the API.
+
+    Returns:
+        The logger for the API.
+    """
+    settings = get_settings()
+    logger = logging.getLogger(settings.LOGGER_NAME)
+    if logger.hasHandlers():
+        return logger
+    return initialize_logger()
diff --git a/src/oai/core/exceptions.py b/src/oai/core/exceptions.py
new file mode 100644
index 0000000..900bbb6
--- /dev/null
+++ b/src/oai/core/exceptions.py
@@ -0,0 +1,21 @@
+"""Custom exceptions."""
+from oai.core import config
+
+logger = config.get_logger()
+
+
+class LoggedException(BaseException):
+    """Base class for exceptions that log their message."""
+
+    def __init__(self, message: str) -> None:
+        """Initializes a new instance of the LoggedException class.
+
+        Args:
+            message: The message to display.
+        """
+        logger.error(message)
+        super().__init__(message)
+
+
+class FileSizeError(LoggedException):
+    """Raised when the file is too large."""
diff --git a/src/oai/openai_api.py b/src/oai/openai_api.py
new file mode 100644
index 0000000..a65a796
--- /dev/null
+++ b/src/oai/openai_api.py
@@ -0,0 +1,132 @@
+"""This module contains interactions with OpenAI models."""
+import abc
+import logging
+import pathlib
+from typing import Any, Literal, TypedDict
+
+import openai
+
+from oai.core import config
+
+settings = config.get_settings()
+OPENAI_API_KEY = settings.OPENAI_API_KEY
+LOGGER_NAME = settings.LOGGER_NAME
+
+logger = logging.getLogger(LOGGER_NAME)
+
+
+class Message(TypedDict):
+    """A message object."""
+
+    role: Literal["assistant", "system", "user"]
+    content: str
+
+
+class OpenAIBaseClass(abc.ABC):
+    """An abstract base class for OpenAI models.
+
+    This class initializes the OpenAI client and requires a run method to be
+    implemented.
+
+    Attributes:
+        client: The OpenAI client used to interact with the model.
+    """
+
+    def __init__(self) -> None:
+        """Initializes a new instance of the OpenAIBaseClass class."""
+        self.client = openai.OpenAI(api_key=OPENAI_API_KEY.get_secret_value())
+
+    @abc.abstractmethod
+    async def run(self, model: str, *_args: Any, **_kwargs: Any) -> Any:  # noqa: ANN401
+        """Runs the model."""
+        ...
+
+
+class TextToSpeech(OpenAIBaseClass):
+    """A class for running the Text-To-Speech models."""
+
+    async def run(
+        self,
+        text: str,
+        output_file: pathlib.Path | str,
+        model: str = "tts-1",
+        voice: str = "onyx",
+    ) -> bytes:
+        """Runs the Text-To-Speech model.
+
+        Args:
+            text: The text to convert to speech.
+            output_file: The name of the output file.
+            model: The name of the Text-To-Speech model to use.
+            voice: The voice to use.
+
+        Returns:
+            The model's response.
+        """
+        response = self.client.audio.speech.create(
+            model=model,
+            voice=voice,
+            input=text,
+        )
+        response.stream_to_file(output_file)
+
+
+class SpeechToText(OpenAIBaseClass):
+    """A class for running the Speech-To-Text models."""
+
+    async def run(
+        self,
+        audio_file: pathlib.Path | str,
+        model: str = "whisper-1",
+    ) -> str:
+        """Runs the Speech-To-Text model.
+
+        Args:
+            audio_file: The audio to convert to text.
+            model: The name of the Speech-To-Text model to use.
+
+        Returns:
+            The model's response.
+        """
+        with pathlib.Path(audio_file).open("rb") as audio:
+            return self.client.audio.transcriptions.create(
+                model=model,
+                file=audio,
+                response_format="text",
+            )  # type: ignore[return-value] # response_format overrides output type.
+
+
+class ImageGeneration(OpenAIBaseClass):
+    """A class for running the Image Generation models."""
+
+    async def run(  # noqa: PLR0913
+        self,
+        prompt: str,
+        model: str = "dall-e-3",
+        width: int = 1024,
+        height: int = 1024,
+        quality: str = "standard",
+        n: int = 1,
+    ) -> list[str]:
+        """Runs the Image Generation model.
+
+        Args:
+            prompt: The prompt to generate an image from.
+            model: The name of the Image Generation model to use.
+            width: The width of the generated image.
+            height: The height of the generated image.
+            quality: The quality of the generated image.
+            n: The number of images to generate.
+
+        Returns:
+            str: The image urls.
+        """
+        response = self.client.images.generate(
+            model=model,
+            prompt=prompt,
+            size=f"{width}x{height}",
+            quality=quality,
+            n=n,
+        )
+
+        return [data.url for data in response.data]
diff --git a/test_greg.txt b/test_greg.txt
new file mode 100644
index 0000000..e69de29
diff --git a/tests/conftest.py b/tests/conftest.py
new file mode 100644
index 0000000..f484499
--- /dev/null
+++ b/tests/conftest.py
@@ -0,0 +1,12 @@
+"""Test configurations."""
+import os
+
+
+def pytest_configure() -> None:
+    """Configure pytest with the necessary environment variables.
+
+    Args:
+        config: The pytest configuration object.
+
+    """
+    os.environ["OPENAI_API_KEY"] = "API_KEY"
diff --git a/tests/test_fibonacci.py b/tests/test_fibonacci.py
deleted file mode 100644
index ac5c87f..0000000
--- a/tests/test_fibonacci.py
+++ /dev/null
@@ -1,32 +0,0 @@
-"""Tests for the fibonacci() function."""
-import pytest
-
-from oai import algorithms
-
-
-def test_fibonacci_success_0() -> None:
-    """Test that fibonacci() returns the correct value for valid input."""
-    output = algorithms.fibonacci(0)
-
-    assert output == 0
-
-
-def test_fibonacci_success_18() -> None:
-    """Test that fibonacci() returns the correct value for valid input."""
-    expected = 4181
-
-    actual = algorithms.fibonacci(19)
-
-    assert actual == expected
-
-
-def test_fibonacci_negative() -> None:
-    """Test that fibonacci() raises an exception for negative input."""
-    with pytest.raises(ValueError):
-        algorithms.fibonacci(-1)
-
-
-def test_fibonacci_non_integer() -> None:
-    """Test that fibonacci() raises an exception for non-integer input."""
-    with pytest.raises(ValueError):
-        algorithms.fibonacci(3.14)  # type: ignore[arg-type]
diff --git a/tests/unit/test_cli_utils.py b/tests/unit/test_cli_utils.py
new file mode 100644
index 0000000..b9c0ceb
--- /dev/null
+++ b/tests/unit/test_cli_utils.py
@@ -0,0 +1,38 @@
+"""Tests for the CLI utility functions."""
+
+
+import pytest_mock
+
+from oai.cli import utils
+
+
+def test_clip_audio(mocker: pytest_mock.MockerFixture) -> None:
+    """Tests that the audio file is clipped."""
+    magic = mocker.MagicMock()
+    mock_ffmpeg = mocker.patch("oai.cli.utils.ffmpeg", magic)
+    mock_ffmpeg.input.return_value = magic
+    mock_ffmpeg.output.return_value = magic
+
+    next(utils.clip_audio("mock_filename.wav"))
+
+    mock_ffmpeg.input.assert_called_once_with("mock_filename.wav")
+    mock_ffmpeg.output.assert_called_once_with(
+        mocker.ANY,
+        f="segment",
+        segment_time=utils.CLIP_DURATION,
+    )
+
+
+def test_download_audio(mocker: pytest_mock.MockerFixture) -> None:
+    """Tests that a file is downloaded."""
+    magic = mocker.MagicMock()
+    mock_requests = mocker.patch("oai.cli.utils.requests", magic)
+    mock_requests.get.return_value = magic
+    magic.raise_for_status.return_value = None
+    magic.content = "mock_content"
+
+    utils.download_file("mock_filename.wav", "mock_url")
+
+    mock_requests.get.assert_called_once_with("mock_url", timeout=10)
+    magic.raise_for_status.assert_called_once_with()
+    assert magic.content == "mock_content"
diff --git a/tests/unit/test_openai_api.py b/tests/unit/test_openai_api.py
new file mode 100644
index 0000000..31ced41
--- /dev/null
+++ b/tests/unit/test_openai_api.py
@@ -0,0 +1,82 @@
+"""Unit tests for the OpenAI API module."""
+import tempfile
+from typing import Any
+
+import pytest
+import pytest_mock
+
+from oai import openai_api
+
+
+@pytest.fixture()
+def mock_openai(mocker: pytest_mock.MockerFixture) -> pytest_mock.MockFixture:
+    """Mocks the OpenAI client."""
+    mock_speech_create = mocker.MagicMock()
+    mock_transcriptions_create = mocker.MagicMock()
+    mock_audio_speech = mocker.MagicMock(
+        speech=mocker.MagicMock(create=mock_speech_create),
+        transcriptions=mocker.MagicMock(create=mock_transcriptions_create),
+    )
+    mock_audio = mocker.MagicMock(audio=mock_audio_speech)
+    mock_images = mocker.MagicMock(generate=mocker.MagicMock())
+    mock_client = mocker.MagicMock(
+        spec=openai_api.openai.OpenAI,
+        audio=mock_audio,
+        images=mock_images,
+    )
+    return mocker.patch("oai.openai_api.openai.OpenAI", return_value=mock_client)
+
+
+class ConcreteOpenAiBaseClass(openai_api.OpenAIBaseClass):
+    """A concrete implementation of the OpenAIBaseClass."""
+
+    async def run(self, model: str, *_args: Any, **_kwargs: Any) -> Any:  # noqa: ANN401
+        """Runs the model."""
+        return "mocked_response"
+
+
+@pytest.mark.asyncio()
+async def test_openai_base_class(mock_openai: pytest_mock.MockFixture) -> None:
+    """Tests the OpenAIBaseClass."""
+    concrete_openai_base_class = ConcreteOpenAiBaseClass()
+
+    assert concrete_openai_base_class.client is not None
+    assert mock_openai.call_count == 1
+    assert await concrete_openai_base_class.run(model="") == "mocked_response"
+
+
+@pytest.mark.asyncio()
+async def test_text_to_speech(mock_openai: pytest_mock.MockFixture) -> None:
+    """Tests the TextToSpeech class."""
+    text_to_speech = openai_api.TextToSpeech()
+
+    await text_to_speech.run("")
+
+    assert text_to_speech.client is not None
+    assert mock_openai.call_count == 1
+    assert mock_openai.return_value.audio.speech.create.call_count == 1
+
+
+@pytest.mark.asyncio()
+async def test_speech_to_text(mock_openai: pytest_mock.MockFixture) -> None:
+    """Tests the SpeechToText class."""
+    speech_to_text = openai_api.SpeechToText()
+
+    with tempfile.NamedTemporaryFile() as audio_file:
+        await speech_to_text.run(audio_file.name)
+
+    assert speech_to_text.client is not None
+    assert mock_openai.call_count == 1
+    assert mock_openai.return_value.audio.transcriptions.create.call_count == 1
+
+
+@pytest.mark.asyncio()
+async def test_image_generation(mock_openai: pytest_mock.MockFixture) -> None:
+    """Tests the ImageGeneration class."""
+    image_generation = openai_api.ImageGeneration()
+
+    await image_generation.run("")
+
+    assert image_generation.client is not None
+    assert mock_openai.call_count == 1
+    assert mock_openai.return_value.images.generate.call_count == 1
diff --git a/tests/unit/test_parser.py b/tests/unit/test_parser.py
new file mode 100644
index 0000000..3482929
--- /dev/null
+++ b/tests/unit/test_parser.py
@@ -0,0 +1,24 @@
+"""Tests for the parser module."""
+import argparse
+
+import pytest
+
+from oai.cli import parser
+
+
+@pytest.mark.parametrize(
+    ("value", "will_raise"),
+    [
+        (1, False),
+        (0, True),
+        (-1, True),
+        (1.0, False),
+    ],
+)
+def test__positive_int(value: float, will_raise: bool) -> None:
+    """Tests that the input is a positive integer."""
+    if will_raise:
+        with pytest.raises(argparse.ArgumentTypeError):
+            parser._positive_int(value)
+    else:
+        assert parser._positive_int(value) == int(value)