mirror of https://github.com/microsoft/agent-framework.git synced 2026-06-16 21:04:09 +08:00

Files

T

Eduard van Valkenburg a2856d3b92 Python: restructure: Python samples into progressive 01-05 layout (#3862 )

* restructure: Python samples into progressive 01-05 layout

- 01-get-started/: 6 numbered steps (hello agent → hosting)
- 02-agents/: all agent concept samples (tools, middleware, providers, etc.)
- 03-workflows/: ALL existing workflow samples preserved as-is
- 04-hosting/: azure-functions, durabletask, a2a
- 05-end-to-end/: demos, evaluation, hosted agents
- Old files moved to _to_delete/ for review
- Added AGENTS.md with structure documentation
- autogen-migration/ and semantic-kernel-migration/ preserved at root

* fix: switch to AzureOpenAI Foundry, fix CI failures

- Switch all 01-get-started samples to AzureOpenAIResponsesClient with
  Azure AI Foundry project endpoint (AZURE_AI_PROJECT_ENDPOINT +
  AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME + AzureCliCredential)
- Add _to_delete/ and 05-end-to-end/ to pyrightconfig.samples.json excludes
- Fix test paths in packages/ that referenced old getting_started/ dirs:
  durabletask conftest + streaming test, azurefunctions conftest,
  devui conftest + capture_messages + openai_sdk_integration
- Fix workflow_as_agent_human_in_the_loop.py import (sibling import)
- Update hosting READMEs and tool comment paths
- Replace root README.md with new structure overview
- Update AGENTS.md to document Azure OpenAI Foundry as default provider

* cleanup: remove _to_delete folder, copy resource files to active dirs

All files in _to_delete/ were either:
- Exact duplicates of files in the new structure (240 files)
- Same file with only comment path updates (100 files)
- One import-fix diff (workflow_as_agent_human_in_the_loop.py)
- One superseded minimal_sample.py

Resource files (sample.pdf, countries.json, employees.pdf, weather.json)
copied to 02-agents/sample_assets/ and 02-agents/resources/ since active
samples reference them.

* fix: address PR review comments, centralize resources, remove root duplicates

- Fix type annotation in 04_memory.py (string union -> proper types)
- Fix old sample paths in observability files
- Fix grammar/spelling in observability samples
- Move sample_assets/ and resources/ to shared/ folder
- Remove 8 duplicate observability files from 02-agents root
- Update resource path references in multimodal_input and provider samples

* fix: update broken links from old getting_started paths to new structure

- Update relative paths in READMEs: getting_started/ → 01-get-started/,
  02-agents/, 03-workflows/, 04-hosting/, 05-end-to-end/
- Fix absolute GitHub URLs in package READMEs
- Fix broken link in ollama package README

* fix: convert absolute GitHub URLs to relative paths for link checker

Absolute URLs to python/samples/ on main branch 404 until PR merges.
Converted to relative paths that linkspector can verify locally.

* fix: update link for handoff sample moved to orchestrations/

* fix: update chatkit-integration README path from demos/ to 05-end-to-end/

* fix: update broken links in orchestrations README to match flat directory structure

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

2.4 KiB

Raw Blame History

Function Tools Workflow

This sample demonstrates an agent with function tools responding to user queries about a restaurant menu.

Overview

The workflow showcases:

Function Tools: Agent equipped with tools to query menu data
Real Azure OpenAI Agent: Uses AzureOpenAIChatClient to create an agent with tools
Agent Registration: Shows how to register agents with the WorkflowFactory

Tools

The MenuAgent has access to these function tools:

Tool	Description
`get_menu()`	Returns all menu items with category, name, and price
`get_specials()`	Returns today's special items
`get_item_price(name)`	Returns the price of a specific item

Soups:
  - Clam Chowder - $4.95 (Special)
  - Tomato Soup - $4.95

Salads:
  - Cobb Salad - $9.99
  - House Salad - $4.95

Drinks:
  - Chai Tea - $2.95 (Special)
  - Soda - $1.95

Prerequisites

Azure OpenAI configured with required environment variables
Authentication via azure-identity (run az login before executing)

Usage

python main.py

Example Output

Loaded workflow: function-tools-workflow
============================================================
Restaurant Menu Assistant
============================================================

[Bot]: Welcome to the Restaurant Menu Assistant!

[Bot]: Today's soup special is the Clam Chowder for $4.95!

============================================================
Session Complete
============================================================

How It Works

Create an Azure OpenAI chat client
Create an agent with instructions and function tools
Register the agent with the workflow factory
Load the workflow YAML and run it with run() and stream=True

# Create the agent with tools
client = AzureOpenAIChatClient(credential=AzureCliCredential())
menu_agent = client.as_agent(
    name="MenuAgent",
    instructions="You are a helpful restaurant menu assistant...",
    tools=[get_menu, get_specials, get_item_price],
)

# Register with the workflow factory
factory = WorkflowFactory(execution_mode="graph")
factory.register_agent("MenuAgent", menu_agent)

# Load and run the workflow
workflow = factory.create_workflow_from_yaml_path(workflow_path)
async for event in workflow.run(inputs={"userInput": "What is the soup of the day?"}, stream=True):
    ...

2.4 KiB Raw Blame History