fix typos in function helper text

autogen/agentchat/conversable_agent.py

@@ -1195,7 +1195,7 @@ def generate_init_message(self, **context) -> Union[str, Dict]:
         """Generate the initial message for the agent.
 
         Override this function to customize the initial message based on user's request.
-        If not overriden, "message" needs to be provided in the context.
+        If not overridden, "message" needs to be provided in the context.
         """
         return context["message"]
 

autogen/oai/completion.py

@@ -340,7 +340,7 @@ def _eval(cls, config: dict, prune=True, eval_only=False):
             config (dict): Hyperparameter setting for the openai api call.
             prune (bool, optional): Whether to enable pruning. Defaults to True.
             eval_only (bool, optional): Whether to evaluate only
-              (ignore the inference budget and do not rasie error when a request fails).
+              (ignore the inference budget and do not raise error when a request fails).
               Defaults to False.
 
         Returns:
@@ -949,7 +949,7 @@ def eval_func(responses, **data):
             return_responses_and_per_instance_result (bool): Whether to also return responses
                 and per instance results in addition to the aggregated results.
             logging_level (optional): logging level. Defaults to logging.WARNING.
-            **config (dict): parametes passed to the openai api call `create()`.
+            **config (dict): parameters passed to the openai api call `create()`.
 
         Returns:
             None when no valid eval_func is provided in either test or tune;

test/agentchat/test_assistant_agent.py

@@ -44,7 +44,7 @@ def test_ai_user_proxy_agent():
         llm_config={
             "config_list": config_list,
         },
-        # In the system message the "user" always refers to ther other agent.
+        # In the system message the "user" always refers to the other agent.
         system_message="You ask a user for help. You check the answer from the user and provide feedback.",
     )
     assistant.reset()