chore: import upstream snapshot with attribution

python/samples/04-hosting/durabletask/01_single_agent/client.py

@@ -0,0 +1,123 @@
+# 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 FOUNDRY_PROJECT_ENDPOINT and FOUNDRY_MODEL
+- Sign in with Azure CLI for AzureCliCredential authentication
+- Durable Task Scheduler must be running
+"""
+
+import asyncio
+import logging
+import os
+
+from agent_framework.azure import DurableAIAgentClient
+from azure.identity import AzureCliCredential
+from dotenv import load_dotenv
+from durabletask.azuremanaged.client import DurableTaskSchedulerClient
+
+# Load environment variables from .env file
+load_dotenv()
+
+# 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 AzureCliCredential()
+
+    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 session for the conversation
+    session = joker.create_session()
+    logger.debug(f"Session ID: {session.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, session=session)
+            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())