azure-ai-agents

import os from azure.ai.agents import AgentClient from azure.core.credentials import AzureKeyCredential # Set your Azure AI Agent endpoint and API key as environment variables # AZURE_AGENT_ENDPOINT='https://<your-agent-resource-name>.openai.azure.com' # AZURE_AGENT_API_KEY='your-api-key' endpoint = os.environ.get("AZURE_AGENT_ENDPOINT", "") api_key = os.environ.get("AZURE_AGENT_API_KEY", "") if not endpoint or not api_key: print("Please set AZURE_AGENT_ENDPOINT and AZURE_AGENT_API_KEY environment variables.") else: try: client = AgentClient(endpoint=endpoint, credential=AzureKeyCredential(api_key)) # Example: Create an agent (if not already created) # For a full agent creation example, refer to official documentation. # This quickstart assumes a basic interaction. # Example: Chat with an existing agent or start a new conversation # Note: 'context' with 'thread_id' might be required depending on your agent setup. # This example uses a simplified chat without explicit thread_id for brevity, # but in real applications, manage thread_ids for conversational continuity. chat_response = client.chat( input="Hello, what can you do?", context={} ) print(f"Agent Output: {chat_response.output}") except Exception as e: print(f"An error occurred: {e}")