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# pylint: disable=line-too-long,useless-suppression
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
DESCRIPTION:
This sample demonstrates how to use agent operations with code interpreter from
the Azure Agents service using a synchronous client.
USAGE:
python sample_agents_code_interpreter.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
from azure.ai.agents import AgentsClient
from azure.ai.agents.models import CodeInterpreterTool
from azure.ai.agents.models import FilePurpose, MessageRole
from azure.identity import DefaultAzureCredential
from pathlib import Path
asset_file_path = os.path.abspath(
os.path.join(os.path.dirname(__file__), "../assets/synthetic_500_quarterly_results.csv")
)
agents_client = AgentsClient(
endpoint=os.environ["PROJECT_ENDPOINT"],
credential=DefaultAzureCredential(),
)
with agents_client:
# Upload a file and wait for it to be processed
# [START upload_file_and_create_agent_with_code_interpreter]
file = agents_client.files.upload_and_poll(file_path=asset_file_path, purpose=FilePurpose.AGENTS)
print(f"Uploaded file, file ID: {file.id}")
code_interpreter = CodeInterpreterTool(file_ids=[file.id])
# Create agent with code interpreter tool and tools_resources
agent = agents_client.create_agent(
model=os.environ["MODEL_DEPLOYMENT_NAME"],
name="my-agent",
instructions="You are helpful agent",
tools=code_interpreter.definitions,
tool_resources=code_interpreter.resources,
)
# [END upload_file_and_create_agent_with_code_interpreter]
print(f"Created agent, agent ID: {agent.id}")
thread = agents_client.threads.create()
print(f"Created thread, thread ID: {thread.id}")
# Create a message
message = agents_client.messages.create(
thread_id=thread.id,
role="user",
content="Could you please create bar chart in TRANSPORTATION sector for the operating profit from the uploaded csv file and provide file to me?",
)
print(f"Created message, message ID: {message.id}")
run = agents_client.runs.create_and_process(thread_id=thread.id, agent_id=agent.id)
print(f"Run finished with status: {run.status}")
if run.status == "failed":
# Check if you got "Rate limit is exceeded.", then you want to get more quota
print(f"Run failed: {run.last_error}")
agents_client.files.delete(file.id)
print("Deleted file")
# [START get_messages_and_save_files]
messages = agents_client.messages.list(thread_id=thread.id)
print(f"Messages: {messages}")
for msg in messages:
# Save every image file in the message
for img in msg.image_contents:
file_id = img.image_file.file_id
file_name = f"{file_id}_image_file.png"
agents_client.files.save(file_id=file_id, file_name=file_name)
print(f"Saved image file to: {Path.cwd() / file_name}")
# Print details of every file-path annotation
for ann in msg.file_path_annotations:
print("File Paths:")
print(f" Type: {ann.type}")
print(f" Text: {ann.text}")
print(f" File ID: {ann.file_path.file_id}")
print(f" Start Index: {ann.start_index}")
print(f" End Index: {ann.end_index}")
# [END get_messages_and_save_files]
last_msg = agents_client.messages.get_last_message_text_by_role(thread_id=thread.id, role=MessageRole.AGENT)
if last_msg:
print(f"Last Message: {last_msg.text.value}")
agents_client.delete_agent(agent.id)
print("Deleted agent")
|
