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* Add requirements.txt and .env.example to a2a sample Beginners following the a2a/ sample had no pip-based install path: the directory lacked requirements.txt and .env.example, unlike every other 04-hosting/ sample. - Add requirements.txt with editable local package paths matching the pattern used in azure_functions/ and similar hosting samples - Add .env.example documenting FOUNDRY_PROJECT_ENDPOINT, FOUNDRY_MODEL, and A2A_AGENT_HOST - Update README Quick Start to cover both pip (.venv) and uv workflows Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Add `requirements.txt` and `.env.example` to the `a2a/` sample for pip-based setup Fixes #5395 * fix(a2a-sample): address PR review feedback for issue #5395 - Remove 'from repo root' wording from Option B uv heading in README to avoid contradicting the 'run from this directory' instruction - Fix A2A_AGENT_HOST default in .env.example from 5001 to 5000 to match function-tools flow; add clarifying comments about port usage - Add note for pip users explaining they can replace 'uv run python' with 'python' once the virtual environment is activated Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review feedback for #5395: Python: [Samples][Python] a2a/ sample missing requirements.txt — beginners cannot install dependencies --------- Co-authored-by: Copilot <copilot@github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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2026-04-27 22:22:07 +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