Merge branch 'main' into fix_azure_token_prov

CONTRIBUTING.md

@@ -118,3 +118,19 @@ Args:
     agent_type (str): Agent type to handle this subscription
 """
 ```
+
+## Docs when adding a new API
+
+Now that 0.4.0 is out, we should ensure the docs between versions are easy to navigate. To this end, added or changed APIs should have the following added to their docstrings respectively:
+
+```rst
+.. versionadded:: v0.4.1
+
+   Here's a version added message.
+
+.. versionchanged:: v0.4.1
+
+   Here's a version changed message.
+```
+
+See [here](https://pydata-sphinx-theme.readthedocs.io/en/stable/examples/kitchen-sink/admonitions.html#versionadded) for how they are rendered.

python/packages/autogen-core/docs/src/user-guide/core-user-guide/design-patterns/intro.md

@@ -9,7 +9,7 @@ like software development.
 
 A multi-agent design pattern is a structure that emerges from message protocols:
 it describes how agents interact with each other to solve problems.
-For example, the [tool-equiped agent](../framework/tools.ipynb#tool-equipped-agent) in
+For example, the [tool-equipped agent](../framework/tools.ipynb#tool-equipped-agent) in
 the previous section employs a design pattern called ReAct,
 which involves an agent interacting with tools.
 

python/packages/autogen-ext/src/autogen_ext/agents/openai/_openai_assistant_agent.py

@@ -109,6 +109,8 @@ class OpenAIAssistantAgent(BaseChatAgent):
     * Vector store integration for efficient file search
     * Automatic file parsing and embedding
 
+    You can use an existing thread or assistant by providing the `thread_id` or `assistant_id` parameters.
+
     Example:
         .. code-block:: python
 
@@ -160,6 +162,7 @@ async def example():
         instructions (str): System instructions for the assistant
         tools (Optional[Iterable[Union[Literal["code_interpreter", "file_search"], Tool | Callable[..., Any] | Callable[..., Awaitable[Any]]]]]): Tools the assistant can use
         assistant_id (Optional[str]): ID of existing assistant to use
+        thread_id (Optional[str]): ID of existing thread to use
         metadata (Optional[object]): Additional metadata for the assistant
         response_format (Optional[AssistantResponseFormatOptionParam]): Response format settings
         temperature (Optional[float]): Temperature for response generation

python/samples/agentchat_chainlit/README.md

@@ -104,5 +104,5 @@ team = RoundRobinGroupChat(
 In this example, we created a basic AutoGen team with a single agent in a RoundRobinGroupChat team. There are a few ways you can extend this example:
 
 - Add more [agents](https://microsoft.github.io/autogen/dev/user-guide/agentchat-user-guide/tutorial/agents.html) to the team.
-- Explor custom agents that sent multimodal messages
+- Explore custom agents that sent multimodal messages
 - Explore more [team](https://microsoft.github.io/autogen/dev/user-guide/agentchat-user-guide/tutorial/teams.html) types beyond the `RoundRobinGroupChat`.