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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
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@@ -3,10 +3,11 @@
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import asyncio
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import uuid
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from agent_framework import tool
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from agent_framework.azure import AzureAIAgentClient
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from agent_framework.mem0 import Mem0Provider
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from azure.identity.aio import AzureCliCredential
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from agent_framework import tool
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# 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.
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@tool(approval_mode="never_require")
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@@ -3,11 +3,12 @@
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import asyncio
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import uuid
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from agent_framework import tool
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from agent_framework.azure import AzureAIAgentClient
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from agent_framework.mem0 import Mem0Provider
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from azure.identity.aio import AzureCliCredential
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from mem0 import AsyncMemory
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from agent_framework import tool
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# 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.
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@tool(approval_mode="never_require")
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@@ -3,10 +3,11 @@
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import asyncio
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import uuid
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from agent_framework import tool
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from agent_framework.azure import AzureAIAgentClient
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from agent_framework.mem0 import Mem0Provider
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from azure.identity.aio import AzureCliCredential
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from agent_framework import tool
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# 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.
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@tool(approval_mode="never_require")
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@@ -30,13 +30,13 @@ Run:
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import asyncio
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import os
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from agent_framework import ChatMessage, Role
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from agent_framework import tool
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from agent_framework import ChatMessage, tool
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from agent_framework.openai import OpenAIChatClient
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from agent_framework_redis._provider import RedisProvider
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from redisvl.extensions.cache.embeddings import EmbeddingsCache
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from redisvl.utils.vectorize import OpenAITextVectorizer
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# 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.
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@tool(approval_mode="never_require")
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def search_flights(origin_airport_code: str, destination_airport_code: str, detailed: bool = False) -> str:
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@@ -128,9 +128,9 @@ async def main() -> None:
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# Build sample chat messages to persist to Redis
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messages = [
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ChatMessage(role=Role.USER, text="runA CONVO: User Message"),
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ChatMessage(role=Role.ASSISTANT, text="runA CONVO: Assistant Message"),
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ChatMessage(role=Role.SYSTEM, text="runA CONVO: System Message"),
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ChatMessage("user", ["runA CONVO: User Message"]),
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ChatMessage("assistant", ["runA CONVO: Assistant Message"]),
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ChatMessage("system", ["runA CONVO: System Message"]),
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]
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# Declare/start a conversation/thread and write messages under 'runA'.
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@@ -142,7 +142,7 @@ async def main() -> None:
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# Retrieve relevant memories for a hypothetical model call. The provider uses
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# the current request messages as the retrieval query and returns context to
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# be injected into the model's instructions.
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ctx = await provider.invoking([ChatMessage(role=Role.SYSTEM, text="B: Assistant Message")])
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ctx = await provider.invoking([ChatMessage("system", ["B: Assistant Message"])])
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# Inspect retrieved memories that would be injected into instructions
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# (Debug-only output so you can verify retrieval works as expected.)
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@@ -39,7 +39,7 @@ class UserInfoMemory(ContextProvider):
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) -> None:
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"""Extract user information from messages after each agent call."""
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# Check if we need to extract user info from user messages
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user_messages = [msg for msg in request_messages if hasattr(msg, "role") and msg.role.value == "user"] # type: ignore
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user_messages = [msg for msg in request_messages if hasattr(msg, "role") and msg.role == "user"] # type: ignore
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if (self.user_info.name is None or self.user_info.age is None) and user_messages:
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try:
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@@ -52,11 +52,14 @@ class UserInfoMemory(ContextProvider):
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)
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# Update user info with extracted data
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if extracted := result.try_parse_value(UserInfo):
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try:
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extracted = result.value
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if self.user_info.name is None and extracted.name:
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self.user_info.name = extracted.name
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if self.user_info.age is None and extracted.age:
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self.user_info.age = extracted.age
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except Exception:
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pass # Failed to extract, continue without updating
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except Exception:
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pass # Failed to extract, continue without updating
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