Address comments first batch

python/pyproject.toml

@@ -116,7 +116,7 @@ pandas = [
     "pandas ~= 2.2"
 ]
 aws = [
-    "boto3>=1.36.4",
+    "boto3~=1.36.4",
 ]
 dapr = [
     "dapr>=1.14.0",

python/samples/concepts/agents/bedrock_agent/bedrock_agent_simple_chat.py

@@ -22,7 +22,7 @@
 AGENT_NAME = "semantic-kernel-bedrock-agent-simple-chat-sample"
 
 # If creating a new agent, you need to specify the following:
-INSTRUCTION = "You are a fridenly assistant. You help people find information."
+INSTRUCTION = "You are a friendly assistant. You help people find information."
 
 # If using an existing agent, you need to specify the following:
 AGENT_ID = ""
@@ -34,7 +34,7 @@ async def main():
     else:
         bedrock_agent = await use_existing_agent(AGENT_ID, AGENT_NAME)
 
-    # Use an uiud as the session id
+    # Use a uiud as the session id
     new_session_id = str(uuid.uuid4())
 
     # Invoke the agent

python/samples/concepts/agents/bedrock_agent/bedrock_agent_simple_chat_with_code_interpreter.py

@@ -29,7 +29,7 @@
 AGENT_NAME = "semantic-kernel-bedrock-agent-simple-chat-code-interpreter-sample"
 
 # If creating a new agent, you need to specify the following:
-INSTRUCTION = "You are a fridenly assistant. You help people find information."
+INSTRUCTION = "You are a friendly assistant. You help people find information."
 
 # If using an existing agent, you need to specify the following:
 AGENT_ID = ""
@@ -51,7 +51,7 @@ async def main():
     else:
         bedrock_agent = await use_existing_agent(AGENT_ID, AGENT_NAME)
 
-    # Use an uiud as the session id
+    # Use a uiud as the session id
     new_session_id = str(uuid.uuid4())
 
     # Placeholder for the file generated by the code interpreter

python/samples/concepts/agents/bedrock_agent/bedrock_agent_simple_chat_with_kernel_function.py

@@ -28,7 +28,7 @@
 AGENT_NAME = "semantic-kernel-bedrock-agent-simple-chat-kernel-function-sample"
 
 # If creating a new agent, you need to specify the following:
-INSTRUCTION = "You are a fridenly assistant. You help people find information."
+INSTRUCTION = "You are a friendly assistant. You help people find information."
 
 # If using an existing agent, you need to specify the following:
 AGENT_ID = ""
@@ -64,7 +64,7 @@ async def main():
     else:
         bedrock_agent = await use_existing_agent(AGENT_ID, AGENT_NAME, kernel=kernel)
 
-    # Use an uiud as the session id
+    # Use a uiud as the session id
     new_session_id = str(uuid.uuid4())
 
     # Invoke the agent

python/semantic_kernel/agents/bedrock/README.md

@@ -2,7 +2,7 @@
 
 ## Overview
 
-AWS Bedrock Agents is a managed service that allows users to stand up and run AI agents in the cloud quickly.
+AWS Bedrock Agents is a managed service that allows users to stand up and run AI agents in the AWS cloud quickly.
 
 ## Tools/Functions
 

python/semantic_kernel/agents/bedrock/bedrock_agent.py

@@ -251,12 +251,13 @@ async def invoke_stream(
             full_message: StreamingChatMessageContent = reduce(lambda x, y: x + y, all_function_call_messages)
             function_calls = [item for item in full_message.items if isinstance(item, FunctionCallContent)]
 
-            chat_history = ChatHistory()
+            # Create a temporary chat history to store the function call results.
+            temp_chat_history = ChatHistory()
             await asyncio.gather(
                 *[
                     self.kernel.invoke_function_call(
                         function_call=function_call,
-                        chat_history=chat_history,
+                        chat_history=temp_chat_history,
                         function_call_count=len(function_calls),
                         request_index=request_index,
                     )
@@ -265,7 +266,7 @@ async def invoke_stream(
             )
             function_result_contents = [
                 item
-                for chat_message in chat_history.messages
+                for chat_message in temp_chat_history.messages
                 for item in chat_message.items
                 if isinstance(item, FunctionResultContent)
             ]

python/semantic_kernel/agents/bedrock/bedrock_agent_base.py

@@ -2,6 +2,7 @@
 
 import asyncio
 import logging
+from collections.abc import Callable
 from functools import partial
 from typing import Any, ClassVar
 
@@ -74,7 +75,7 @@ def validate_function_choice_behavior(
             raise ValueError("Only FunctionChoiceType.AUTO is supported.")
         return function_choice_behavior
 
-    async def _run_in_executor(self, executor, func, *args, **kwargs) -> Any:
+    async def _run_in_executor(self, executor: Any, func: Callable, *args, **kwargs) -> Any:
         """Run a function in an executor."""
         return await asyncio.get_event_loop().run_in_executor(executor, partial(func, *args, **kwargs))
 

python/semantic_kernel/agents/bedrock/models/bedrock_agent_event_type.py

@@ -1,13 +1,12 @@
 # Copyright (c) Microsoft. All rights reserved.
 
-
-from enum import StrEnum
+from enum import Enum
 
 from semantic_kernel.utils.experimental_decorator import experimental_class
 
 
 @experimental_class
-class BedrockAgentEventType(StrEnum):
+class BedrockAgentEventType(str, Enum):
     """Bedrock Agent Event Type."""
 
     # Contains the text response from the agent.