Python: support all auth options for azure ai search (#8495)

### Motivation and Context

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### Description
Azure AI Search data source supports 4 types of authentication but
semantic kernel only supports `ApiKey`api key.

This PR adds support to the other authentication options as defined in
its
[docs](https://learn.microsoft.com/en-us/azure/ai-services/openai/references/azure-search?tabs=python#parameters),
which are
- system_assigned_managed_identity
- user_assigned_managed_identity
- access_token

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### Contribution Checklist

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

- [ ] The code builds clean without any errors or warnings
- [ ] 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
- [ ] All unit tests pass, and I have added new tests where possible
- [ ] I didn't break anyone 😄

python/semantic_kernel/connectors/ai/open_ai/prompt_execution_settings/azure_chat_prompt_execution_settings.py

@@ -42,6 +42,30 @@ class ApiKeyAuthentication(AzureChatRequestBase):
     key: str | None = None
 
 
+class SystemAssignedManagedIdentityAuthentication(AzureChatRequestBase):
+    """System assigned managed identity authentication."""
+
+    type: Annotated[
+        Literal["SystemAssignedManagedIdentity", "system_assigned_managed_identity"], AfterValidator(to_snake)
+    ] = "system_assigned_managed_identity"
+
+
+class UserAssignedManagedIdentityAuthentication(AzureChatRequestBase):
+    """User assigned managed identity authentication."""
+
+    type: Annotated[
+        Literal["UserAssignedManagedIdentity", "user_assigned_managed_identity"], AfterValidator(to_snake)
+    ] = "user_assigned_managed_identity"
+    managed_identity_resource_id: str | None
+
+
+class AccessTokenAuthentication(AzureChatRequestBase):
+    """Access token authentication."""
+
+    type: Annotated[Literal["AccessToken", "access_token"], AfterValidator(to_snake)] = "access_token"
+    access_token: str | None
+
+
 class AzureEmbeddingDependency(AzureChatRequestBase):
     """Azure embedding dependency."""
 
@@ -98,7 +122,13 @@ class AzureAISearchDataSourceParameters(AzureDataSourceParameters):
     query_type: Annotated[
         Literal["simple", "semantic", "vector", "vectorSimpleHybrid", "vectorSemanticHybrid"], AfterValidator(to_snake)
     ] = "simple"
-    authentication: ApiKeyAuthentication | None = None
+    authentication: (
+        ApiKeyAuthentication
+        | SystemAssignedManagedIdentityAuthentication
+        | UserAssignedManagedIdentityAuthentication
+        | AccessTokenAuthentication
+        | None
+    ) = None
 
 
 class AzureAISearchDataSource(AzureChatRequestBase):

python/tests/unit/connectors/open_ai/test_openai_request_settings.py

@@ -4,6 +4,7 @@
 
 from semantic_kernel.connectors.ai.open_ai.prompt_execution_settings.azure_chat_prompt_execution_settings import (
     AzureAISearchDataSource,
+    AzureAISearchDataSourceParameters,
     AzureChatPromptExecutionSettings,
     ExtraBody,
 )
@@ -199,7 +200,7 @@ def test_create_options_azure_data():
         parameters={
             "indexName": "test-index",
             "endpoint": "test-endpoint",
-            "authentication": {"type": "api_key", "api_key": "test-key"},
+            "authentication": {"type": "api_key", "key": "test-key"},
         }
     )
     extra = ExtraBody(data_sources=[az_source])
@@ -279,6 +280,27 @@ def test_azure_open_ai_chat_prompt_execution_settings_with_aisearch_data_sources
     assert settings.extra_body["dataSources"][0]["type"] == "AzureCognitiveSearch"
 
 
+@pytest.mark.parametrize(
+    "authentication",
+    [
+        {"type": "APIKey", "key": "test_key"},
+        {"type": "api_key", "key": "test_key"},
+        pytest.param({"type": "api_key"}, marks=pytest.mark.xfail),
+        {"type": "SystemAssignedManagedIdentity"},
+        {"type": "system_assigned_managed_identity"},
+        {"type": "UserAssignedManagedIdentity", "managed_identity_resource_id": "test_id"},
+        {"type": "user_assigned_managed_identity", "managed_identity_resource_id": "test_id"},
+        pytest.param({"type": "user_assigned_managed_identity"}, marks=pytest.mark.xfail),
+        {"type": "AccessToken", "access_token": "test_token"},
+        {"type": "access_token", "access_token": "test_token"},
+        pytest.param({"type": "access_token"}, marks=pytest.mark.xfail),
+        pytest.param({"type": "invalid"}, marks=pytest.mark.xfail),
+    ],
+)
+def test_aisearch_data_source_parameters(authentication) -> None:
+    AzureAISearchDataSourceParameters(index_name="test_index", authentication=authentication)
+
+
 def test_azure_open_ai_chat_prompt_execution_settings_with_response_format_json():
     response_format = {"type": "json_object"}
     settings = AzureChatPromptExecutionSettings(response_format=response_format)