Python modules for the Agentic AI Engineering course by Towards AI and Paul Iusztin.
Project description
Agentic AI Engineering Course
Python modules for the Agent Engineering: Building Multi-Agent Systems course by Towards AI and Paul Iusztin. Find more about the course.
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
- Paul Iusztin (p.b.iusztin@gmail.com)
- Fabio Chiusano (chiusanofabio94@gmail.com)
- Omar Solano (omarsolano27@gmail.com)
License
Apache License 2.0 - see LICENSE file for details.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file agentic_ai_engineering_course-0.4.14.tar.gz.
File metadata
- Download URL: agentic_ai_engineering_course-0.4.14.tar.gz
- Upload date:
- Size: 43.0 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.11.21 {"installer":{"name":"uv","version":"0.11.21","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
75d8065bbdab3d03c21db26e188af52b6c7054667d9f7103f781115a89f5cb78
|
|
| MD5 |
9a386ff3ae8cb0f351555622d9ed00ca
|
|
| BLAKE2b-256 |
66a3cc591ed65a519728314f66ef658c65b21257d1d933e9d57dd7fc99e9ce93
|
File details
Details for the file agentic_ai_engineering_course-0.4.14-py3-none-any.whl.
File metadata
- Download URL: agentic_ai_engineering_course-0.4.14-py3-none-any.whl
- Upload date:
- Size: 6.7 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.11.21 {"installer":{"name":"uv","version":"0.11.21","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b932d2b401d9c2fccc8afe3bf79d38d103b67ea8145e58efed75d8f521a5ccb3
|
|
| MD5 |
74e44f788330b907e0cc8d7d15b1968a
|
|
| BLAKE2b-256 |
a566d928ed39b4f913465ff526126b33d154816c04966e4b95eb1309db5e7708
|
