test

python/samples/getting_started/declarative/inline_yaml.py

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+# Copyright (c) Microsoft. All rights reserved.
+import asyncio
+
+from agent_framework.declarative import AgentFactory
+from azure.identity.aio import AzureCliCredential
+
+"""
+This sample shows how to create an agent using an inline YAML string rather than a file.
+
+It uses a Azure AI Client so it needs the credential to be passed into the AgentFactory.
+
+Prerequisites:
+- `pip install agent-framework-azure-ai agent-framework-declarative --pre`
+- Set the following environment variables in a .env file or your environment:
+    - AZURE_AI_PROJECT_ENDPOINT
+    - AZURE_OPENAI_MODEL
+"""
+
+
+async def main():
+    """Create an agent from a declarative YAML specification 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: A 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
+"""
+    # create the agent from the yaml
+    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())