Files
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- One superseded minimal_sample.py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

122 lines
3.7 KiB
Python

# Copyright (c) Microsoft. All rights reserved.
"""Client application for interacting with a Durable Task hosted agent.
This client connects to the Durable Task Scheduler and sends requests to
registered agents, demonstrating how to interact with agents from external processes.
Prerequisites:
- The worker must be running with the agent registered
- Set AZURE_OPENAI_ENDPOINT and AZURE_OPENAI_CHAT_DEPLOYMENT_NAME
(plus AZURE_OPENAI_API_KEY or Azure CLI authentication)
- Durable Task Scheduler must be running
"""
import asyncio
import logging
import os
from agent_framework.azure import DurableAIAgentClient
from azure.identity import DefaultAzureCredential
from durabletask.azuremanaged.client import DurableTaskSchedulerClient
# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
def get_client(
taskhub: str | None = None,
endpoint: str | None = None,
log_handler: logging.Handler | None = None
) -> DurableAIAgentClient:
"""Create a configured DurableAIAgentClient.
Args:
taskhub: Task hub name (defaults to TASKHUB env var or "default")
endpoint: Scheduler endpoint (defaults to ENDPOINT env var or "http://localhost:8080")
log_handler: Optional logging handler for client logging
Returns:
Configured DurableAIAgentClient instance
"""
taskhub_name = taskhub or os.getenv("TASKHUB", "default")
endpoint_url = endpoint or os.getenv("ENDPOINT", "http://localhost:8080")
logger.debug(f"Using taskhub: {taskhub_name}")
logger.debug(f"Using endpoint: {endpoint_url}")
credential = None if endpoint_url == "http://localhost:8080" else DefaultAzureCredential()
dts_client = DurableTaskSchedulerClient(
host_address=endpoint_url,
secure_channel=endpoint_url != "http://localhost:8080",
taskhub=taskhub_name,
token_credential=credential,
log_handler=log_handler
)
return DurableAIAgentClient(dts_client)
def run_client(agent_client: DurableAIAgentClient) -> None:
"""Run client interactions with the Joker agent.
Args:
agent_client: The DurableAIAgentClient instance
"""
# Get a reference to the Joker agent
logger.debug("Getting reference to Joker agent...")
joker = agent_client.get_agent("Joker")
# Create a new thread for the conversation
thread = joker.get_new_thread()
logger.debug(f"Thread ID: {thread.session_id}")
logger.info("Start chatting with the Joker agent! (Type 'exit' to quit)")
# Interactive conversation loop
while True:
# Get user input
try:
user_message = input("You: ").strip()
except (EOFError, KeyboardInterrupt):
logger.info("\nExiting...")
break
# Check for exit command
if user_message.lower() == "exit":
logger.info("Goodbye!")
break
# Skip empty messages
if not user_message:
continue
# Send message to agent and get response
try:
response = joker.run(user_message, thread=thread)
logger.info(f"Joker: {response.text} \n")
except Exception as e:
logger.error(f"Error getting response: {e}")
logger.info("Conversation completed.")
async def main() -> None:
"""Main entry point for the client application."""
logger.debug("Starting Durable Task Agent Client...")
# Create client using helper function
agent_client = get_client()
try:
run_client(agent_client)
except Exception as e:
logger.exception(f"Error during agent interaction: {e}")
finally:
logger.debug("Client shutting down")
if __name__ == "__main__":
asyncio.run(main())