Python: [BREAKING] Types API Review improvements (#3647)

* Replace Role and FinishReason classes with NewType + Literal

- Remove EnumLike metaclass from _types.py
- Replace Role class with NewType('Role', str) + RoleLiteral
- Replace FinishReason class with NewType('FinishReason', str) + FinishReasonLiteral
- Update all usages across codebase to use string literals
- Remove .value access patterns (direct string comparison now works)
- Add backward compatibility for legacy dict serialization format
- Update tests to reflect new string-based types

Addresses #3591, #3615

* Simplify ChatResponse and AgentResponse type hints (#3592)

- Remove overloads from ChatResponse.__init__
- Remove text parameter from ChatResponse.__init__
- Remove | dict[str, Any] from finish_reason and usage_details params
- Remove **kwargs from AgentResponse.__init__
- Both now accept ChatMessage | Sequence[ChatMessage] | None for messages
- Update docstrings and examples to reflect changes
- Fix tests that were using removed kwargs
- Fix Role type hint usage in ag-ui utils

* Remove text parameter from ChatResponseUpdate and AgentResponseUpdate (#3597)

- Remove text parameter from ChatResponseUpdate.__init__
- Remove text parameter from AgentResponseUpdate.__init__
- Remove **kwargs from both update classes
- Simplify contents parameter type to Sequence[Content] | None
- Update all usages to use contents=[Content.from_text(...)] pattern
- Fix imports in test files
- Update docstrings and examples

* Rename from_chat_response_updates to from_updates (#3593)

- ChatResponse.from_chat_response_updates → ChatResponse.from_updates
- ChatResponse.from_chat_response_generator → ChatResponse.from_update_generator
- AgentResponse.from_agent_run_response_updates → AgentResponse.from_updates

* Remove try_parse_value method from ChatResponse and AgentResponse (#3595)

- Remove try_parse_value method from ChatResponse
- Remove try_parse_value method from AgentResponse
- Remove try_parse_value calls from from_updates and from_update_generator methods
- Update samples to use try/except with response.value instead
- Update tests to use response.value pattern
- Users should now use response.value with try/except for safe parsing

* Add agent_id to AgentResponse and clarify author_name documentation (#3596)

- Add agent_id parameter to AgentResponse class
- Document that author_name is on ChatMessage objects, not responses
- Update ChatResponse docstring with author_name note
- Update AgentResponse docstring with author_name note

* Simplify ChatMessage.__init__ signature (#3618)

- Make contents a positional argument accepting Sequence[Content | str]
- Auto-convert strings in contents to TextContent
- Remove overloads, keep text kwarg for backward compatibility with serialization
- Update _parse_content_list to handle string items
- Update all usages across codebase to use new format: ChatMessage("role", ["text"])

* Allow Content as input on run and get_response

- Update prepare_messages and normalize_messages to accept Content
- Update type signatures in _agents.py and _clients.py
- Add tests for Content input handling

* Fix ChatMessage usage across packages and samples

Update all remaining ChatMessage(role=..., text=...) to use new
ChatMessage('role', ['text']) signature.

* Fix Role string usage and response format parsing

- Fix redis provider: remove .value access on string literals
- Fix durabletask ensure_response_format: set _response_format before accessing .value

* Fix ollama .value and ai_model_id issues, handle None in content list

- Fix ollama _chat_client: remove .value on string literals
- Fix ollama _chat_client: rename ai_model_id to model_id
- Fix _parse_content_list: skip None values gracefully

* Fix A2AAgent type signature to include Content

* Fix Role/FinishReason NewType dict annotations and improve test coverage to 95%

* Fix mypy errors for Role/FinishReason NewType usage

* Fix Role.TOOL and Role.ASSISTANT usage in _orchestrator_helpers.py

* Fix Role NewType usage in durabletask _models.py

python/samples/getting_started/agents/azure_ai_agent/azure_ai_basic.py

@@ -4,10 +4,10 @@ import asyncio
 from random import randint
 from typing import Annotated
 
+from agent_framework import tool
 from agent_framework.azure import AzureAIAgentsProvider
 from azure.identity.aio import AzureCliCredential
 from pydantic import Field
-from agent_framework import tool
 
 """
 Azure AI Agent Basic Example
@@ -16,6 +16,7 @@ This sample demonstrates basic usage of AzureAIAgentsProvider to create agents w
 lifecycle management. Shows both streaming and non-streaming responses with function tools.
 """
 
+
 # NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_weather(

python/samples/getting_started/agents/azure_ai_agent/azure_ai_provider_methods.py

@@ -5,11 +5,11 @@ import os
 from random import randint
 from typing import Annotated
 
+from agent_framework import tool
 from agent_framework.azure import AzureAIAgentsProvider
 from azure.ai.agents.aio import AgentsClient
 from azure.identity.aio import AzureCliCredential
 from pydantic import Field
-from agent_framework import tool
 
 """
 Azure AI Agent Provider Methods Example
@@ -20,6 +20,7 @@ This sample demonstrates the methods available on the AzureAIAgentsProvider clas
 - as_agent(): Wrap an SDK Agent object without making HTTP calls
 """
 
+
 # NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_weather(

python/samples/getting_started/agents/azure_ai_agent/azure_ai_with_code_interpreter_file_generation.py

@@ -7,7 +7,6 @@ from agent_framework import (
     AgentResponseUpdate,
     HostedCodeInterpreterTool,
     HostedFileContent,
-    tool,
 )
 from agent_framework.azure import AzureAIAgentsProvider
 from azure.ai.agents.aio import AgentsClient

python/samples/getting_started/agents/azure_ai_agent/azure_ai_with_existing_thread.py

@@ -5,11 +5,11 @@ import os
 from random import randint
 from typing import Annotated
 
+from agent_framework import tool
 from agent_framework.azure import AzureAIAgentsProvider
 from azure.ai.agents.aio import AgentsClient
 from azure.identity.aio import AzureCliCredential
 from pydantic import Field
-from agent_framework import tool
 
 """
 Azure AI Agent with Existing Thread Example
@@ -18,6 +18,7 @@ This sample demonstrates working with pre-existing conversation threads
 by providing thread IDs for thread reuse patterns.
 """
 
+
 # NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_weather(

python/samples/getting_started/agents/azure_ai_agent/azure_ai_with_explicit_settings.py

@@ -5,10 +5,10 @@ import os
 from random import randint
 from typing import Annotated
 
+from agent_framework import tool
 from agent_framework.azure import AzureAIAgentsProvider
 from azure.identity.aio import AzureCliCredential
 from pydantic import Field
-from agent_framework import tool
 
 """
 Azure AI Agent with Explicit Settings Example
@@ -17,6 +17,7 @@ This sample demonstrates creating Azure AI Agents with explicit configuration
 settings rather than relying on environment variable defaults.
 """
 
+
 # NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_weather(

python/samples/getting_started/agents/azure_ai_agent/azure_ai_with_function_tools.py

@@ -5,10 +5,10 @@ from datetime import datetime, timezone
 from random import randint
 from typing import Annotated
 
+from agent_framework import tool
 from agent_framework.azure import AzureAIAgentsProvider
 from azure.identity.aio import AzureCliCredential
 from pydantic import Field
-from agent_framework import tool
 
 """
 Azure AI Agent with Function Tools Example
@@ -17,6 +17,7 @@ This sample demonstrates function tool integration with Azure AI Agents,
 showing both agent-level and query-level tool configuration patterns.
 """
 
+
 # NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_weather(
@@ -26,6 +27,7 @@ def get_weather(
     conditions = ["sunny", "cloudy", "rainy", "stormy"]
     return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
 
+
 @tool(approval_mode="never_require")
 def get_time() -> str:
     """Get the current UTC time."""

python/samples/getting_started/agents/azure_ai_agent/azure_ai_with_multiple_tools.py

@@ -34,9 +34,9 @@ To set up Bing Grounding:
 4. Copy the connection ID and set it as the BING_CONNECTION_ID environment variable
 """
 
+
 # NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
-
 def get_time() -> str:
     """Get the current UTC time."""
     current_time = datetime.now(timezone.utc)

python/samples/getting_started/agents/azure_ai_agent/azure_ai_with_response_format.py

@@ -56,13 +56,14 @@ async def main() -> None:
 
         result1 = await agent.run(query1)
 
-        if weather := result1.try_parse_value(WeatherInfo):
+        try:
+            weather = result1.value
             print("Agent:")
             print(f"  Location: {weather.location}")
             print(f"  Temperature: {weather.temperature}")
             print(f"  Conditions: {weather.conditions}")
             print(f"  Recommendation: {weather.recommendation}")
-        else:
+        except Exception:
             print(f"Failed to parse response: {result1.text}")
 
         # Request 2: Override response_format at runtime with CityInfo
@@ -72,12 +73,13 @@ async def main() -> None:
 
         result2 = await agent.run(query2, options={"response_format": CityInfo})
 
-        if city := result2.try_parse_value(CityInfo):
+        try:
+            city = result2.value
             print("Agent:")
             print(f"  City: {city.city_name}")
             print(f"  Population: {city.population}")
             print(f"  Country: {city.country}")
-        else:
+        except Exception:
             print(f"Failed to parse response: {result2.text}")
 
 

python/samples/getting_started/agents/azure_ai_agent/azure_ai_with_thread.py

@@ -4,8 +4,7 @@ import asyncio
 from random import randint
 from typing import Annotated
 
-from agent_framework import AgentThread
-from agent_framework import tool
+from agent_framework import AgentThread, tool
 from agent_framework.azure import AzureAIAgentsProvider
 from azure.identity.aio import AzureCliCredential
 from pydantic import Field
@@ -17,6 +16,7 @@ This sample demonstrates thread management with Azure AI Agents, comparing
 automatic thread creation with explicit thread management for persistent context.
 """
 
+
 # NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_weather(