Python: Support Declarative Spec for OpenAIAssistantAgent & OpenAIResponsesAgent (#12247)

### Motivation and Context

This PR builds on the initial work/abstractions from #11982. The
`AzureAssistantAgent` / `OpenAIAssistantAgent` as well as the
`AzureResponsesAgent` / `OpenAIResponsesAgent` now support declarative
specs. Several examples on how to declare the spec are shown in the
respective dirs in `samples/concepts/agents`, as well as a simple
getting started example for each agent type.

To further simplify working with these two agents, the
`setup_resources()` methods for each agent type have been marked with a
deprecation tag. The new method to use is
`OpenAIAssistantAgent.create_client()` or
`OpenAIResponsesAgent.create_client()`. Further, when one needs to
access the underlying setting's, it's simple to do so with a settings
object and accessing the attribute.

In the previous PR for the AzureAIAgent, it lacked support for
templating - this is included in this current PR.

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### Description

Bring in support for the declarative single agent spec for these agent
types.
- Add samples
- Add unit tests
- Add support for prompt templates for all current agent types
- Closes #11979

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These notes will help understanding how your code works. Thanks! -->

### Contribution Checklist

<!-- Before submitting this PR, please make sure: -->

- [X] The code builds clean without any errors or warnings
- [X] The PR follows the [SK Contribution
Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
and the [pre-submission formatting
script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts)
raises no violations
- [X] All unit tests pass, and I have added new tests where possible
- [X] I didn't break anyone 😄

Author: moonbox3

python/samples/concepts/README.md

@@ -61,12 +61,22 @@
 - [Mixed Chat Reset](./agents/mixed_chat/mixed_chat_reset.py)
 - [Mixed Chat Streaming](./agents/mixed_chat/mixed_chat_streaming.py)
 
-#### [OpenAI Assistant Agent](../../semantic_kernel/agents/open_ai/open_ai_assistant_agent.py)
+#### [OpenAI Assistant Agent](../../semantic_kernel/agents/open_ai/openai_assistant_agent.py)
 
+- [Azure OpenAI Assistant Declarative Code Interpreter](./agents/openai_assistant/azure_openai_assistant_declarative_code_interpreter.py)
+- [Azure OpenAI Assistant Declarative File Search](./agents/openai_assistant/azure_openai_assistant_declarative_file_search.py)
+- [Azure OpenAI Assistant Declarative Function Calling From File](./agents/openai_assistant/azure_openai_assistant_declarative_function_calling_from_file.py)
+- [Azure OpenAI Assistant Declarative Templating](./agents/openai_assistant/azure_openai_assistant_declarative_templating.py)
+- [Azure OpenAI Assistant Declarative With Existing Agent ID](./agents/openai_assistant/azure_openai_assistant_declarative_with_existing_agent_id.py)
 - [OpenAI Assistant Auto Function Invocation Filter Streaming](./agents/openai_assistant/openai_assistant_auto_func_invocation_filter_streaming.py)
 - [OpenAI Assistant Auto Function Invocation Filter](./agents/openai_assistant/openai_assistant_auto_func_invocation_filter.py)
 - [OpenAI Assistant Chart Maker Streaming](./agents/openai_assistant/openai_assistant_chart_maker_streaming.py)
 - [OpenAI Assistant Chart Maker](./agents/openai_assistant/openai_assistant_chart_maker.py)
+- [OpenAI Assistant Declarative Code Interpreter](./agents/openai_assistant/openai_assistant_declarative_code_interpreter.py)
+- [OpenAI Assistant Declarative File Search](./agents/openai_assistant/openai_assistant_declarative_file_search.py)
+- [OpenAI Assistant Declarative Function Calling From File](./agents/openai_assistant/openai_assistant_declarative_function_calling_from_file.py)
+- [OpenAI Assistant Declarative Templating](./agents/openai_assistant/openai_assistant_declarative_templating.py)
+- [OpenAI Assistant Declarative With Existing Agent ID](./agents/openai_assistant/openai_assistant_declarative_with_existing_agent_id.py)
 - [OpenAI Assistant File Manipulation Streaming](./agents/openai_assistant/openai_assistant_file_manipulation_streaming.py)
 - [OpenAI Assistant File Manipulation](./agents/openai_assistant/openai_assistant_file_manipulation.py)
 - [OpenAI Assistant Retrieval](./agents/openai_assistant/openai_assistant_retrieval.py)
@@ -79,6 +89,12 @@
 
 #### [OpenAI Responses Agent](../../semantic_kernel/agents/open_ai/openai_responses_agent.py)
 
+- [Azure OpenAI Responses Agent Declarative File Search](./agents/openai_responses/azure_openai_responses_agent_declarative_file_search.py)
+- [Azure OpenAI Responses Agent Declarative Function Calling From File](./agents/openai_responses/azure_openai_responses_agent_declarative_function_calling_from_file.py)
+- [Azure OpenAI Responses Agent Declarative Templating](./agents/openai_responses/azure_openai_responses_agent_declarative_templating.py)
+- [OpenAI Responses Agent Declarative File Search](./agents/openai_responses/openai_responses_agent_declarative_file_search.py)
+- [OpenAI Responses Agent Declarative Function Calling From File](./agents/openai_responses/openai_responses_agent_declarative_function_calling_from_file.py)
+- [OpenAI Responses Agent Declarative Web Search](./agents/openai_responses/openai_responses_agent_declarative_web_search.py)
 - [OpenAI Responses Message Callback Streaming](./agents/openai_responses/responses_agent_message_callback_streaming.py)
 - [OpenAI Responses Message Callback](./agents/openai_responses/responses_agent_message_callback.py)
 - [OpenAI Responses File Search Streaming](./agents/openai_responses/responses_agent_file_search_streaming.py)

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_declarative_azure_ai_search.py

@@ -4,8 +4,7 @@
 
 from azure.identity.aio import DefaultAzureCredential
 
-from semantic_kernel.agents import AzureAIAgent, AzureAIAgentSettings
-from semantic_kernel.agents.agent import AgentRegistry
+from semantic_kernel.agents import AgentRegistry, AzureAIAgent, AzureAIAgentSettings
 from semantic_kernel.contents.chat_message_content import ChatMessageContent
 from semantic_kernel.contents.function_call_content import FunctionCallContent
 from semantic_kernel.contents.function_result_content import FunctionResultContent

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_declarative_bing_grounding.py

@@ -4,8 +4,7 @@
 
 from azure.identity.aio import DefaultAzureCredential
 
-from semantic_kernel.agents import AzureAIAgent, AzureAIAgentSettings
-from semantic_kernel.agents.agent import AgentRegistry
+from semantic_kernel.agents import AgentRegistry, AzureAIAgent, AzureAIAgentSettings
 
 """
 The following sample demonstrates how to create an Azure AI agent that answers

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_declarative_code_interpreter.py

@@ -6,8 +6,7 @@
 from azure.ai.agents.models import FilePurpose
 from azure.identity.aio import DefaultAzureCredential
 
-from semantic_kernel.agents import AzureAIAgent, AzureAIAgentSettings
-from semantic_kernel.agents.agent import AgentRegistry
+from semantic_kernel.agents import AgentRegistry, AzureAIAgent, AzureAIAgentSettings
 
 """
 The following sample demonstrates how to create an Azure AI agent that answers

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_declarative_file_search.py

@@ -6,25 +6,20 @@
 from azure.ai.agents.models import VectorStore
 from azure.identity.aio import DefaultAzureCredential
 
-from semantic_kernel.agents import AzureAIAgent, AzureAIAgentSettings
-from semantic_kernel.agents.agent import AgentRegistry
+from semantic_kernel.agents import AgentRegistry, AzureAIAgent, AzureAIAgentSettings
 
 """
 The following sample demonstrates how to create an Azure AI agent that answers
-user questions using the file search tool.
-
-The agent is used to answer user questions that require file search to help ground 
-answers from the model.
+user questions using the file search tool from a declarative spec.
 """
 
 # Define the YAML string for the sample
 spec = """
 type: foundry_agent
 name: FileSearchAgent
-description: Agent with code interpreter tool.
+description: Agent with file search tool.
 instructions: >
-  Use the code interpreter tool to answer questions that require code to be generated
-  and executed.
+  Use the file search tool to answer questions from the user.
 model:
   id: ${AzureAI:ChatModelId}
   connection:

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_declarative_openapi.py

@@ -4,8 +4,7 @@
 
 from azure.identity.aio import DefaultAzureCredential
 
-from semantic_kernel.agents import AzureAIAgent, AzureAIAgentSettings
-from semantic_kernel.agents.agent import AgentRegistry
+from semantic_kernel.agents import AgentRegistry, AzureAIAgent, AzureAIAgentSettings
 
 """
 The following sample demonstrates how to create an Azure AI agent that answers

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_declarative_templating.py

@@ -0,0 +1,72 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+
+from azure.identity.aio import DefaultAzureCredential
+
+from semantic_kernel.agents import AgentRegistry, AzureAIAgent
+
+"""
+The following sample demonstrates how to create an Azure AI Agent that invokes
+a story generation task using a prompt template and a declarative spec.
+"""
+
+# Define the YAML string for the sample
+spec = """
+type: foundry_agent
+name: StoryAgent
+description: An agent that generates a story about a topic.
+instructions: Tell a story about {{$topic}} that is {{$length}} sentences long.
+model:
+  id: ${AzureAI:ChatModelId}
+  connection:
+    connection_string: ${AzureAI:Endpoint}
+inputs:
+  topic:
+    description: The topic of the story.
+    required: true
+    default: Cats
+  length:
+    description: The number of sentences in the story.
+    required: true
+    default: 2
+outputs:
+  output1:
+    description: The generated story.
+template:
+  format: semantic-kernel
+"""
+
+
+async def main():
+    async with (
+        DefaultAzureCredential() as creds,
+        AzureAIAgent.create_client(credential=creds) as client,
+    ):
+        try:
+            # Create the AzureAI Agent from the YAML spec
+            agent: AzureAIAgent = await AgentRegistry.create_from_yaml(
+                yaml_str=spec,
+                client=client,
+            )
+
+            # Invoke the agent for the specified task
+            async for response in agent.invoke(
+                messages=None,
+            ):
+                print(f"# {response.name}: {response}")
+        finally:
+            # Cleanup: Delete the agent, vector store, and file
+            await client.agents.delete_agent(agent.id)
+
+    """
+    Sample output:
+
+    # StoryAgent: Under the silvery moon, three mischievous cats tiptoed across the rooftop, chasing 
+      shadows and sharing secret whispers. By dawn, they curled up together, purring softly, dreaming 
+      of adventures yet to come.
+    """
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_declarative_with_existing_agent_id.py

@@ -4,8 +4,7 @@
 
 from azure.identity.aio import DefaultAzureCredential
 
-from semantic_kernel.agents import AzureAIAgent
-from semantic_kernel.agents.agent import AgentRegistry
+from semantic_kernel.agents import AgentRegistry, AzureAIAgent
 
 """
 The following sample demonstrates how to create an Azure AI agent based 

python/samples/concepts/agents/mixed_chat/mixed_chat_agents_plugins.py

@@ -4,9 +4,9 @@
 from typing import Annotated
 
 from semantic_kernel.agents import AgentGroupChat, AzureAssistantAgent, ChatCompletionAgent
-from semantic_kernel.agents.strategies.termination.termination_strategy import TerminationStrategy
+from semantic_kernel.agents.strategies import TerminationStrategy
 from semantic_kernel.connectors.ai import FunctionChoiceBehavior
-from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion
+from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion, AzureOpenAISettings
 from semantic_kernel.contents import AuthorRole
 from semantic_kernel.functions import KernelArguments, kernel_function
 from semantic_kernel.kernel import Kernel
@@ -86,11 +86,11 @@ async def main():
     )
 
     # Create the Assistant Agent using Azure OpenAI resources
-    client, model = AzureAssistantAgent.setup_resources()
+    client = AzureAssistantAgent.create_client()
 
     # Create the assistant definition
     definition = await client.beta.assistants.create(
-        model=model,
+        model=AzureOpenAISettings().chat_deployment_name,
         name=COPYWRITER_NAME,
         instructions=COPYWRITER_INSTRUCTIONS,
     )

python/samples/concepts/agents/mixed_chat/mixed_chat_files.py

@@ -4,7 +4,7 @@
 import os
 
 from semantic_kernel.agents import AgentGroupChat, AzureAssistantAgent, ChatCompletionAgent
-from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion
+from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion, AzureOpenAISettings
 from semantic_kernel.contents import AnnotationContent, AuthorRole
 from semantic_kernel.kernel import Kernel
 
@@ -31,10 +31,10 @@ async def main():
     )
 
     # Create the client using Azure OpenAI resources and configuration
-    client, model = AzureAssistantAgent.setup_resources()
+    client = AzureAssistantAgent.create_client()
 
     # If desired, create using OpenAI resources
-    # client, model = OpenAIAssistantAgent.setup_resources()
+    # client = OpenAIAssistantAgent.create_client()
 
     # Load the text file as a FileObject
     with open(file_path, "rb") as file:
@@ -45,7 +45,7 @@ async def main():
     )
 
     definition = await client.beta.assistants.create(
-        model=model,
+        model=AzureOpenAISettings().chat_deployment_name,
         instructions="Create charts as requested without explanation.",
         name="ChartMaker",
         tools=code_interpreter_tool,