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Evan Mattson
d8b9409e96
* fix Workflow.as_agent() streaming regression in ag-ui * Address PR feedback * workflows wip * wip * wip * Workflow AG-UI demo * Fixes for handoff workflow demo * Fixes to workflows support in AG-UI * Fixes * Add headers to some demo files * Fix comment * Fixes for store * Make _input_schema lazy-loaded * fix mypy * revert session change to handoff only for now --------- Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
d8b9409e96
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2026-02-23 11:59:56 +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 --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