agent-bootstrap-kit 1.0.0

OpenAI agent bootstrap scripts for assessments

agent-bootstrap-kit

Bootstrap scripts for building OpenAI agents — multi-turn chat, tool use, AutoGen, Semantic Kernel, and Azure AI Agent Service.

Install

pip install agent-bootstrap-kit

Extract scripts to your current folder

agent-bootstrap

Or in Python:

from agent_bootstrap_kit import extract
extract()

What gets extracted

plain_openai/
    1_multiturn_chat.py         # Multi-turn conversation agent
    2_simple_agent_tools.py     # Agent with tool/function calling

autogen/
    3_autogen_two_agent.py      # AutoGen two-agent conversation
    4_autogen_tool_use.py       # AutoGen agent with tools

semantic_kernel/
    5_sk_basic_agent.py         # Semantic Kernel agent with plugin
    6_sk_workflow.py            # Semantic Kernel multi-step pipeline

azure_ai_agent/
    7_azure_agent_thread.py     # Azure AI Agent Service (thread-based)

EXAM_DAY_REFERENCE.py           # Quick reference — which script to use when
setup.sh                        # Install all dependencies in one command
.env.template                   # Copy → .env, add your API key

Quick start after extraction

# 1. Add your API key
cp .env.template .env
# Edit .env: OPENAI_API_KEY=sk-...

# 2. Install dependencies
bash setup.sh

# 3. Run a script
python plain_openai/1_multiturn_chat.py

Requirements

• Python 3.9+
• An OpenAI API key