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Add sample for running a Prompt Agent with WebIQ preview tool #48935
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66 changes: 66 additions & 0 deletions
66
sdk/ai/azure-ai-projects/samples/agents/tools/sample_agent_web_iq.py
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| # pylint: disable=line-too-long,useless-suppression | ||
| # ------------------------------------ | ||
| # Copyright (c) Microsoft Corporation. | ||
| # Licensed under the MIT License. | ||
| # ------------------------------------ | ||
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| """ | ||
| DESCRIPTION: | ||
| This sample demonstrates how to run a Prompt Agent that uses the | ||
| WebIQ preview tool with a synchronous client. | ||
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| USAGE: | ||
| python sample_agent_web_iq.py | ||
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| Before running the sample: | ||
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| pip install "azure-ai-projects>=2.6.0" python-dotenv | ||
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| Set these environment variables with your own values: | ||
| 1) FOUNDRY_PROJECT_ENDPOINT - The Azure AI Project endpoint, as found in the Overview | ||
| page of your Microsoft Foundry portal. | ||
| 2) FOUNDRY_MODEL_NAME - The deployment name of the AI model, as found under the "Name" column in | ||
| the "Models + endpoints" tab in your Microsoft Foundry project. | ||
| 3) FOUNDRY_AGENT_NAME - Optional. The name of the AI agent. If not set, defaults to "MyAgent". | ||
| 4) WEB_IQ_PROJECT_CONNECTION_ID - The fully-qualified resource ID of the WebIQ project connection. | ||
| 5) WEB_IQ_USER_INPUT - Optional. The natural-language question to send to the agent. | ||
| """ | ||
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| import os | ||
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| from dotenv import load_dotenv | ||
| from util import create_version_with_endpoint | ||
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| from azure.ai.projects import AIProjectClient | ||
| from azure.ai.projects.models import PromptAgentDefinition, WebIQPreviewTool | ||
| from azure.identity import DefaultAzureCredential | ||
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| load_dotenv() | ||
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| endpoint = os.environ["FOUNDRY_PROJECT_ENDPOINT"] | ||
| agent_name = os.environ.get("FOUNDRY_AGENT_NAME") or "MyAgent" | ||
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| web_iq_tool = WebIQPreviewTool( | ||
| project_connection_id=os.environ["WEB_IQ_PROJECT_CONNECTION_ID"], | ||
| require_approval="never", | ||
| ) | ||
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| with ( | ||
| DefaultAzureCredential() as credential, | ||
| AIProjectClient(endpoint=endpoint, credential=credential, allow_preview=True) as project_client, | ||
| create_version_with_endpoint( | ||
| project_client=project_client, | ||
| agent_name=agent_name, | ||
| definition=PromptAgentDefinition( | ||
| model=os.environ["FOUNDRY_MODEL_NAME"], | ||
| instructions="Use the available WebIQ tool to answer the user's question.", | ||
| tools=[web_iq_tool], | ||
| ), | ||
| ), | ||
| project_client.get_openai_client(agent_name=agent_name) as openai_client, | ||
| ): | ||
| user_input = os.environ.get("WEB_IQ_USER_INPUT") or input("Enter your question:\n") | ||
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| response = openai_client.responses.create(input=user_input) | ||
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| print(f"Agent response: {response.output_text}") | ||
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