# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------

"""
DESCRIPTION:
    This sample demonstrates how to use basic agent operations from
    the Azure Agents service using a synchronous client.

USAGE:
    python sample_agents_basics.py

    Before running the sample:

    pip install azure-ai-agents azure-identity

    Set these environment variables with your own values:
    1) PROJECT_ENDPOINT - The Azure AI Project endpoint, as found in the Overview
                          page of your Azure AI Foundry portal.
    2) MODEL_DEPLOYMENT_NAME - The deployment name of the AI model, as found under the "Name" column in
       the "Models + endpoints" tab in your Azure AI Foundry project.
"""

import os, time
from azure.ai.agents import AgentsClient
from azure.identity import DefaultAzureCredential
from azure.ai.agents.models import ListSortOrder

# [START create_agents_client]
agents_client = AgentsClient(
    endpoint=os.environ["PROJECT_ENDPOINT"],
    credential=DefaultAzureCredential(),
)
# [END create_agents_client]

with agents_client:

    # [START create_agent]

    agent = agents_client.create_agent(
        model=os.environ["MODEL_DEPLOYMENT_NAME"],
        name="my-agent",
        instructions="You are helpful agent",
    )
    # [END create_agent]
    print(f"Created agent, agent ID: {agent.id}")

    # [START create_thread]
    thread = agents_client.threads.create()
    # [END create_thread]
    print(f"Created thread, thread ID: {thread.id}")

    # List all threads for the agent
    # [START list_threads]
    threads = agents_client.threads.list()
    # [END list_threads]

    # [START create_message]
    message = agents_client.messages.create(thread_id=thread.id, role="user", content="Hello, tell me a joke")
    # [END create_message]
    print(f"Created message, message ID: {message.id}")

    # [START create_run]
    run = agents_client.runs.create(thread_id=thread.id, agent_id=agent.id)

    # Poll the run as long as run status is queued or in progress
    while run.status in ["queued", "in_progress", "requires_action"]:
        # Wait for a second
        time.sleep(1)
        run = agents_client.runs.get(thread_id=thread.id, run_id=run.id)
        # [END create_run]
        print(f"Run status: {run.status}")

    if run.status == "failed":
        print(f"Run error: {run.last_error}")

    agents_client.delete_agent(agent.id)
    print("Deleted agent")

    # [START list_messages]
    messages = agents_client.messages.list(thread_id=thread.id, order=ListSortOrder.ASCENDING)
    for msg in messages:
        if msg.text_messages:
            last_text = msg.text_messages[-1]
            print(f"{msg.role}: {last_text.text.value}")
    # [END list_messages]