Python: Fixed declarative samples (#4051)

* Updated declarative kind mapping

* Fixed required property handling

* Updated inline yaml sample

* Fixed remaining declarative samples

* Added lazy initialization for PowerFx engine

* Small fix

python/samples/02-agents/declarative/get_weather_agent.py

@@ -7,6 +7,9 @@ from typing import Literal
 from agent_framework.azure import AzureOpenAIResponsesClient
 from agent_framework.declarative import AgentFactory
 from azure.identity import AzureCliCredential
+from dotenv import load_dotenv
+
+load_dotenv()
 
 
 def get_weather(location: str, unit: Literal["celsius", "fahrenheit"] = "celsius") -> str:

python/samples/02-agents/declarative/inline_yaml.py

@@ -3,6 +3,9 @@ import asyncio
 
 from agent_framework.declarative import AgentFactory
 from azure.identity.aio import AzureCliCredential
+from dotenv import load_dotenv
+
+load_dotenv()
 
 """
 This sample shows how to create an agent using an inline YAML string rather than a file.
@@ -34,7 +37,7 @@ model:
     # create the agent from the yaml
     async with (
         AzureCliCredential() as credential,
-        AgentFactory(client_kwargs={"credential": credential}).create_agent_from_yaml(yaml_definition) as agent,
+        AgentFactory(client_kwargs={"credential": credential}, safe_mode=False).create_agent_from_yaml(yaml_definition) as agent,
     ):
         response = await agent.run("What can you do for me?")
         print("Agent response:", response.text)

python/samples/02-agents/declarative/mcp_tool_yaml.py

@@ -28,7 +28,6 @@ import asyncio
 from agent_framework.declarative import AgentFactory
 from dotenv import load_dotenv
 
-# Load environment variables
 load_dotenv()
 
 # Example 1: OpenAI.Responses with API key authentication

python/samples/02-agents/declarative/microsoft_learn_agent.py

@@ -4,6 +4,9 @@ from pathlib import Path
 
 from agent_framework.declarative import AgentFactory
 from azure.identity.aio import AzureCliCredential
+from dotenv import load_dotenv
+
+load_dotenv()
 
 
 async def main():
@@ -15,7 +18,7 @@ async def main():
     # create the agent from the yaml
     async with (
         AzureCliCredential() as credential,
-        AgentFactory(client_kwargs={"credential": credential}).create_agent_from_yaml_path(yaml_path) as agent,
+        AgentFactory(client_kwargs={"credential": credential}, safe_mode=False).create_agent_from_yaml_path(yaml_path) as agent,
     ):
         response = await agent.run("How do I create a storage account with private endpoint using bicep?")
         print("Agent response:", response.text)

python/samples/02-agents/declarative/openai_responses_agent.py

@@ -3,6 +3,9 @@ import asyncio
 from pathlib import Path
 
 from agent_framework.declarative import AgentFactory
+from dotenv import load_dotenv
+
+load_dotenv()
 
 
 async def main():
@@ -16,7 +19,7 @@ async def main():
         yaml_str = f.read()
 
     # create the agent from the yaml
-    agent = AgentFactory().create_agent_from_yaml(yaml_str)
+    agent = AgentFactory(safe_mode=False).create_agent_from_yaml(yaml_str)
     # use the agent
     response = await agent.run("Why is the sky blue, answer in Dutch?")
     # Use response.value with try/except for safe parsing