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# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
DESCRIPTION:
This sample demonstrates how to use the new convenience method
`create_thread_and_process_run` in the Azure AI Agents service.
This single call will create a thread, start a run, poll to
completion (including any tool calls), and return the final result.
USAGE:
python sample_agents_create_thread_and_process_run.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
"Models + endpoints" in your Azure AI Foundry project.
"""
import os
from azure.ai.agents import AgentsClient
from azure.ai.agents.models import AgentThreadCreationOptions, ThreadMessageOptions, ListSortOrder
from azure.identity import DefaultAzureCredential
agents_client = AgentsClient(endpoint=os.environ["PROJECT_ENDPOINT"], credential=DefaultAzureCredential())
with agents_client:
agent = agents_client.create_agent(
model=os.environ["MODEL_DEPLOYMENT_NAME"],
name="process-run-sample-agent",
instructions="You are a friendly assistant that generates jokes.",
)
print(f"Created agent: {agent.id}")
# [START create_thread_and_process_run]
run = agents_client.create_thread_and_process_run(
agent_id=agent.id,
thread=AgentThreadCreationOptions(
messages=[ThreadMessageOptions(role="user", content="Hi! Tell me your favorite programming joke.")]
),
)
# [END create_thread_and_process_run]
print(f"Run completed with status: {run.status!r}")
if run.status == "failed":
print("Run failed:", run.last_error)
# List out all messages in the thread
messages = agents_client.messages.list(thread_id=run.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}")
# clean up
agents_client.delete_agent(agent.id)
print(f"Deleted agent {agent.id}")
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