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Eduard van Valkenburg aab621f5eb Python: Fix tool normalization and provider sample consolidation (#3953 )

* Fix tool normalization and provider samples

- restore callable/single-tool normalization paths and unset tool-choice behavior\n- consolidate and expand chat/provider samples (OpenAI/Azure/Anthropic/Ollama/Bedrock)\n- migrate Bedrock lazy import surface to agent_framework.amazon and move provider samples

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

* small fix in sample

* Finalize provider, samples, and core cleanup

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

* Fix CopilotTool passthrough in agent

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

* fix link

---------

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

aab621f5eb · 2026-02-16 16:30:38 +00:00

History

01_hello_agent.py

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

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

02_add_tools.py

Python: restructure: Python samples into progressive 01-05 layout (#3862 )

2026-02-12 17:36:36 +00:00

03_multi_turn.py

Python: [BREAKING] PR2 — Wire context provider pipeline, remove old types, update all consumers (#3850 )

2026-02-12 21:00:32 +00:00

04_memory.py

Add memory run snippet tag for docs extraction (#3921 )

2026-02-13 13:56:19 +00:00

05_first_workflow.py

Python: restructure: Python samples into progressive 01-05 layout (#3862 )

2026-02-12 17:36:36 +00:00

06_host_your_agent.py

Align Python hosting get-started sample with Azure Functions (#3922 )

2026-02-13 19:02:34 +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