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Amit Dhawan 5fff0df2af Python: Add load_dotenv to get-started samples and fix chat_response_… (#6691)
* Python: Add load_dotenv to get-started samples and fix chat_response_cancellation docs

* Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>

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Co-authored-by: Amit Dhawan <amit.dhawan@barco.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
2026-06-23 23:11:08 +00:00
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Get Started with Agent Framework for Python

This folder contains a progressive set of samples that introduce the core concepts of Agent Framework one step at a time.

Prerequisites

pip install agent-framework

Set the required environment variables:

export FOUNDRY_PROJECT_ENDPOINT="https://your-project-endpoint"
export FOUNDRY_MODEL="gpt-4o"   # optional, defaults to gpt-4o

Samples

# File What you'll learn
1 01_hello_agent.py Create your first agent and run it (streaming and non-streaming).
2 02_add_tools.py Define a function tool with @tool and attach it to an agent.
3 03_multi_turn.py Keep conversation history across turns with AgentSession.
4 04_memory.py Add dynamic context with a custom ContextProvider.
5 05_functional_workflow_with_agents.py Call agents inside a functional workflow.
6 06_functional_workflow_basics.py Write a workflow as a plain async function.
7 07_first_graph_workflow.py Chain executors into a graph workflow with edges.
8 08_host_your_agent.py Host a single agent with Azure Functions.

Run any sample with:

python 01_hello_agent.py

These samples use Azure Foundry models with the Responses API. To switch providers, just replace the client, see all providers