Basic conversation with Microsoft Agent Framework

This example demonstrates how to create a basic AI agent using the Microsoft Agent Framework, configure it with system instructions, and engage in a conversation.

Requirements

• Python 3.10+
• An OpenAI API key set as an environment variable (OPENAI_API_KEY)

Steps for running this example in the shell

1. Install dependencies:

python -m venv .venv

# macOS/Linux:
source .venv/bin/activate

# Windows Command Prompt:
.venv\Scripts\activate.bat

# Windows PowerShell:
.venv\Scripts\Activate.ps1

pip install -r requirements.txt

2. Export your API key as an environment variable:

export OPENAI_API_KEY="sk-..." # Windows cmd: set OPENAI_API_KEY="sk-..." # Windows PowerShell: $env:OPENAI_API_KEY="sk-..."

3. Run the script:

python basic_conversation.py

Output

The script will output the agent's response:

User: What is the size of your context window
Agent response: I don’t have a way to see the exact limit for your setup, but most current deployments of me run with a 128,000‑token context window (roughly ~100k words). If you can tell me the exact model name you’re using here, I can confirm the precise limit.