Metadata-Version: 2.4
Name: abagentsdk
Version: 0.2.0
Summary: The fastest way to build AI agents using Google Gemini & Groq
Home-page: https://github.com/ABZAgent/abzagentsdk
Author: Abu Bakar
License: MIT
Project-URL: Homepage, https://github.com/ABZAgent/abzagentsdk
Project-URL: Issues, https://github.com/ABZAgent/abzagentsdk/issues
Project-URL: Documentation, https://abzagent.vercel.app
Keywords: agents,gemini,google generative ai,sdk,llm,tool calling,groq
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: google-generativeai>=0.7.0
Requires-Dist: pydantic>=2.6.0
Requires-Dist: rich>=13.7.0
Requires-Dist: python-dotenv>=1.0.1
Requires-Dist: tzdata>=2024.1; platform_system == "Windows"
Requires-Dist: typing-extensions>=4.12.0; python_version < "3.11"
Requires-Dist: groq
Dynamic: author
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: license
Dynamic: project-url
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# ================================
# 🚀 ABZ Agent SDK Quick Start Guide
# ================================

# 1️⃣ Install ABZ Agent SDK
pip install abagentsdk
# or
uv add abagentsdk

# 2️⃣ Create a .env file and add your keys
echo "GEMINI_API_KEY=your_gemini_key_here" >> .env
echo "GROQ_API_KEY=your_groq_key_here" >> .env
# 3️⃣ Create a new Python file (app.py)
# ------------------------------------
from dotenv import load_dotenv
load_dotenv()
import os
from abagentsdk import Agent, Memory

# Load API keys
GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")
GROQ_API_kEY = os.getenv("GROQ_API_KEY")


# Create an Agent
agent = Agent(
    name="Assistant Agent",
    instructions="You are a helpful assistant.",
    model="qwen/qwen3-32b",
    memory=Memory(),
)

# Run the Agent in a chat loop
while True:
    user_input = input("You: ")
    if user_input.lower() in ["exit", "quit"]:
        break
    response = agent.run(user_input)
    print("Agent:", response.content)

# 4️⃣ Run your agent
python app.py

