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Eduard van Valkenburg f93ceae43a Simplify memory sample to use session state (#4085 )

- Rename UserNameProvider → UserMemoryProvider
- Use session state (state dict) instead of instance variables
- Use context.extend_instructions() instead of context.instructions.append()
- Use DEFAULT_SOURCE_ID class attribute
- Fix imports to use public agent_framework API
- Add session state inspection at end of sample

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

f93ceae43a · 2026-02-19 15:34:49 +00:00

History

01_hello_agent.py

Python: Add load_dotenv() to samples for .env file support (#4043 )

2026-02-19 10:55:13 +00:00

02_add_tools.py

Python: Add load_dotenv() to samples for .env file support (#4043 )

2026-02-19 10:55:13 +00:00

03_multi_turn.py

Python: Add load_dotenv() to samples for .env file support (#4043 )

2026-02-19 10:55:13 +00:00

04_memory.py

Simplify memory sample to use session state (#4085 )

2026-02-19 15:34:49 +00:00

05_first_workflow.py

Python: Add load_dotenv() to samples for .env file support (#4043 )

2026-02-19 10:55:13 +00:00

06_host_your_agent.py

Python: Add load_dotenv() to samples for .env file support (#4043 )

2026-02-19 10:55:13 +00:00

README.md

Python: Fix tool normalization and provider sample consolidation (#3953 )

2026-02-16 16:30:38 +00:00

README.md

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 --pre

Set the required environment variables:

export AZURE_AI_PROJECT_ENDPOINT="https://your-project-endpoint"
export AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME="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 `AgentThread`.
4	04_memory.py	Add dynamic context with a custom `ContextProvider`.
5	05_first_workflow.py	Chain executors into a workflow with edges.
6	06_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