fixes to azure ai search init, samples (#5021)

python/samples/02-agents/chat_client/built_in_chat_clients.py

@@ -22,31 +22,29 @@ This sample demonstrates how to run the same prompt flow against different built
 chat clients using a single `get_client` factory.
 
 Select one of these client names:
-- openai_responses
+- openai_chat
 - openai_chat_completion
 - anthropic
 - ollama
 - bedrock
-- azure_openai_responses
+- azure_openai_chat
 - azure_openai_chat_completion
 - foundry_chat
 """
 
 ClientName = Literal[
-    "openai_responses",
+    "openai_chat",
     "openai_chat_completion",
     "anthropic",
     "ollama",
     "bedrock",
-    "azure_openai_responses",
+    "azure_openai_chat",
     "azure_openai_chat_completion",
     "foundry_chat",
 ]
 
 
 # NOTE: approval_mode="never_require" is for sample brevity.
-# Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py
-# and samples/02-agents/tools/function_tool_with_approval_and_sessions.py.
 @tool(approval_mode="never_require")
 def get_weather(
     location: Annotated[str, Field(description="The location to get the weather for.")],
@@ -62,7 +60,7 @@ def get_client(client_name: ClientName) -> SupportsChatGetResponse[Any]:
     from agent_framework.anthropic import AnthropicClient
     from agent_framework.ollama import OllamaChatClient
 
-    if client_name == "openai_responses":
+    if client_name == "openai_chat":
         return OpenAIChatClient()
     if client_name == "openai_chat_completion":
         return OpenAIChatCompletionClient()
@@ -72,7 +70,7 @@ def get_client(client_name: ClientName) -> SupportsChatGetResponse[Any]:
         return OllamaChatClient()
     if client_name == "bedrock":
         return BedrockChatClient()
-    if client_name == "azure_openai_responses":
+    if client_name == "azure_openai_chat":
         return OpenAIChatClient(credential=AzureCliCredential())
     if client_name == "azure_openai_chat_completion":
         return OpenAIChatCompletionClient(credential=AzureCliCredential())
@@ -86,7 +84,7 @@ def get_client(client_name: ClientName) -> SupportsChatGetResponse[Any]:
     raise ValueError(f"Unsupported client name: {client_name}")
 
 
-async def main(client_name: ClientName = "openai_responses") -> None:
+async def main(client_name: ClientName = "openai_chat") -> None:
     """Run a basic prompt using a selected built-in client."""
     client = get_client(client_name)
 
@@ -122,7 +120,7 @@ async def main(client_name: ClientName = "openai_responses") -> None:
 
 
 if __name__ == "__main__":
-    asyncio.run(main("openai_responses"))
+    asyncio.run(main("openai_chat"))
 
 
 """

python/samples/02-agents/compaction/tiktoken_tokenizer.py

@@ -11,7 +11,7 @@
 import asyncio
 from typing import Any
 
-import tiktoken
+import tiktoken  # type: ignore
 from agent_framework import (
     Message,
     TokenizerProtocol,

python/samples/02-agents/context_providers/azure_ai_search/search_context_agentic.py

@@ -100,7 +100,7 @@ async def main() -> None:
             credential=AzureCliCredential() if not search_key else None,
             mode="agentic",
             azure_openai_resource_url=azure_openai_resource_url,
-            model_model=model_deployment,
+            model_deployment_name=model_deployment,
             # Optional: Configure retrieval behavior
             knowledge_base_output_mode="extractive_data",  # or "answer_synthesis"
             retrieval_reasoning_effort="minimal",  # or "medium", "low"
@@ -110,13 +110,12 @@ async def main() -> None:
     # Create agent with search context provider
     async with (
         search_provider,
-        FoundryChatClient(
-            project_endpoint=project_endpoint,
-            model_model=model_deployment,
-            credential=AzureCliCredential(),
-        ) as client,
         Agent(
-            client=client,
+            client=FoundryChatClient(
+                project_endpoint=project_endpoint,
+                model=model_deployment,
+                credential=AzureCliCredential(),
+            ),
             name="SearchAgent",
             instructions=(
                 "You are a helpful assistant with advanced reasoning capabilities. "

python/samples/02-agents/context_providers/azure_ai_search/search_context_semantic.py

@@ -85,13 +85,12 @@ async def main() -> None:
     # Create agent with search context provider
     async with (
         search_provider,
-        FoundryChatClient(
-            project_endpoint=project_endpoint,
-            model_model=model_deployment,
-            credential=credential,
-        ) as client,
         Agent(
-            client=client,
+            client=FoundryChatClient(
+                project_endpoint=project_endpoint,
+                model=model_deployment,
+                credential=credential,
+            ),
             name="SearchAgent",
             instructions=(
                 "You are a helpful assistant. Use the provided context from the "