Skip to main content

Python modules for the Agentic AI Engineering course by Towards AI and Decoding ML.

Project description

Agentic AI Engineering Course

Python modules for the Agentic AI Engineering course by Towards AI and Decoding ML.

Installation

pip install agentic-ai-engineering-course

Usage

Environment Utilities

from utils import load

# Load environment variables from .env file
load()

# Load with custom path and required variables
load(dotenv_path="path/to/.env", required_env_vars=["API_KEY", "SECRET"])

Pretty Print Utilities

from utils import wrapped, function_call, Color

# Pretty print text with custom formatting
wrapped("Hello World", title="My Message", header_color=Color.BLUE)

# Pretty print function calls
function_call(
    function_call=my_function_call,
    title="Function Execution",
    header_color=Color.GREEN
)

Development

This package is part of the Agentic AI Engineering course materials. For the full course experience, visit the main repository.

Authors

License

Apache License 2.0 - see LICENSE file for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

agentic_ai_engineering_course-0.2.2.tar.gz (10.1 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

agentic_ai_engineering_course-0.2.2-py3-none-any.whl (301.0 kB view details)

Uploaded Python 3

File details

Details for the file agentic_ai_engineering_course-0.2.2.tar.gz.

File metadata

File hashes

Hashes for agentic_ai_engineering_course-0.2.2.tar.gz
Algorithm Hash digest
SHA256 865506189b717fadb63ac03d925f14f197404db738dc3a04ce5213c87f983b14
MD5 dffe5dfbf8d6907bd577d1750a80d29f
BLAKE2b-256 369df64845054dc7e1346a226a0214c9ec03088b3a49f1862d8a5800ca14b1a9

See more details on using hashes here.

File details

Details for the file agentic_ai_engineering_course-0.2.2-py3-none-any.whl.

File metadata

File hashes

Hashes for agentic_ai_engineering_course-0.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 7af4ece28cb4cc376ecea2e59dac78efda9dba33d566337177a67882745e9464
MD5 8d0e6d5051edf1319c72251a21c354a3
BLAKE2b-256 8af3ed2c1ffc0dcbad65dc81831c165103da73973a3f5aa383c5c902f47c40fe

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page