Note
Access to this page requires authorization. You can try signing in or changing directories.
Access to this page requires authorization. You can try changing directories.
Declarative agents allow you to define agent configuration using YAML or JSON files instead of writing programmatic code. This approach makes agents easier to define, modify, and share across teams.
The following example shows how to create a declarative agent from a YAML configuration:
using System;
using System.IO;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
// Load agent configuration from a YAML file
var yamlContent = File.ReadAllText("agent-config.yaml");
// Create the agent from the YAML definition
AIAgent agent = AgentFactory.CreateFromYaml(
yamlContent,
new AzureOpenAIClient(
new Uri("https://<myresource>.openai.azure.com"),
new AzureCliCredential()));
// Run the declarative agent
Console.WriteLine(await agent.RunAsync("Why is the sky blue?"));
Define an agent inline with YAML
You can define the full YAML specification as a string directly in your code:
import asyncio
from agent_framework.declarative import AgentFactory
from azure.identity.aio import AzureCliCredential
async def main():
"""Create an agent from an inline YAML definition and run it."""
yaml_definition = """kind: Prompt
name: DiagnosticAgent
displayName: Diagnostic Assistant
instructions: Specialized diagnostic and issue detection agent for systems with critical error protocol and automatic handoff capabilities
description: An agent that performs diagnostics on systems and can escalate issues when critical errors are detected.
model:
id: =Env.AZURE_OPENAI_MODEL
connection:
kind: remote
endpoint: =Env.AZURE_AI_PROJECT_ENDPOINT
"""
async with (
AzureCliCredential() as credential,
AgentFactory(client_kwargs={"credential": credential}).create_agent_from_yaml(yaml_definition) as agent,
):
response = await agent.run("What can you do for me?")
print("Agent response:", response.text)
if __name__ == "__main__":
asyncio.run(main())
Load an agent from a YAML file
You can also load the YAML definition from a file:
import asyncio
from pathlib import Path
from agent_framework.declarative import AgentFactory
from azure.identity import AzureCliCredential
async def main():
"""Create an agent from a declarative YAML file and run it."""
yaml_path = Path(__file__).parent / "agent-config.yaml"
with yaml_path.open("r") as f:
yaml_str = f.read()
agent = AgentFactory(client_kwargs={"credential": AzureCliCredential()}).create_agent_from_yaml(yaml_str)
response = await agent.run("Why is the sky blue?")
print("Agent response:", response.text)
if __name__ == "__main__":
asyncio.run(main())