Clarify separate sessions

Author: anthonychu

articles/container-apps/sessions-tutorial-langchain.md

@@ -59,7 +59,7 @@ react_agent = agents.create_react_agent(
 )
 ```
 
-When it needs to perform calculations, the agent uses the *SessionPythonREPLTool* to run the code. The code is executed in a session in the session pool. By default, a random session identifier is generated when you instantiate the tool. If the agent uses the tool to run multiple Python code snippets, it uses the same session.
+When it needs to perform calculations, the agent uses the *SessionPythonREPLTool* to run the code. The code is executed in a session in the session pool. By default, a random session identifier is generated when you instantiate the tool. If the agent runs multiple Python code snippets, it uses the same session. To ensure each end user has a unique session, use a separate agent and tool for each user.
 
 *SessionPythonREPLTool* is available in the [`langchain-azure-dynamic-sessions`](https://pypi.org/project/langchain-azure-dynamic-sessions/) package.
 

articles/container-apps/sessions-tutorial-llamaindex.md

@@ -53,7 +53,7 @@ code_interpreter_tool = AzureCodeInterpreterToolSpec(
 agent = ReActAgent.from_tools(code_interpreter_tool.to_tool_list(), llm=llm, verbose=True)
 ```
 
-When it needs to perform calculations, the agent uses the code interpreter in *AzureCodeInterpreterToolSpec* to run the code. The code is executed in a session in the session pool. By default, a random session identifier is generated when you instantiate the tool. If the agent uses the tool to run multiple Python code snippets, it uses the same session.
+When it needs to perform calculations, the agent uses the code interpreter in *AzureCodeInterpreterToolSpec* to run the code. The code is executed in a session in the session pool. By default, a random session identifier is generated when you instantiate the tool. If the agent runs multiple Python code snippets, it uses the same session. To ensure each end user has a unique session, use a separate agent and tool for each user.
 
 *AzureCodeInterpreterToolSpec* is available in the [`llama-index-tools-azure-code-interpreter`](https://pypi.org/project/llama-index-tools-azure-code-interpreter/) package.
 

articles/container-apps/sessions-tutorial-semantic-kernel.md

@@ -54,7 +54,7 @@ sessions_tool = SessionsPythonTool(
 kernel.add_plugin(sessions_tool, "SessionsTool")
 ```
 
-When it needs to perform calculations, the agent uses the code interpreter in *SessionsPythonTool* to run the code. The code is executed in a session in the session pool. By default, a random session identifier is generated when you instantiate the tool. If the agent uses the tool to run multiple Python code snippets, it uses the same session.
+When it needs to perform calculations, the kernel uses the code interpreter in *SessionsPythonTool* to run the code. The code is executed in a session in the session pool. By default, a random session identifier is generated when you instantiate the tool. If the agent runs multiple Python code snippets, it uses the same session. To ensure each end user has a unique session, use a separate kernel and tool for each user.
 
 *SessionsPythonTool* is available in version `0.9.8b1` or later of the [`semantic-kernel`](https://pypi.org/project/semantic-kernel/) package.