document about docker (#119)

* document about docker

* clarify

* dev container

README.md

@@ -47,16 +47,18 @@ pip install pyautogen
 ```
 
 Minimal dependencies are installed without extra options. You can install extra options based on the feature you need.
-For example, use the following to install the dependencies needed by the [`blendsearch`](https://microsoft.github.io/FLAML/docs/Use-Cases/Tune-User-Defined-Function#blendsearch-economical-hyperparameter-optimization-with-blended-search-strategy) option.
+<!-- For example, use the following to install the dependencies needed by the [`blendsearch`](https://microsoft.github.io/FLAML/docs/Use-Cases/Tune-User-Defined-Function#blendsearch-economical-hyperparameter-optimization-with-blended-search-strategy) option.
 ```bash
 pip install "pyautogen[blendsearch]"
-```
+``` -->
 
 Find more options in [Installation](https://microsoft.github.io/autogen/docs/Installation).
 <!-- Each of the [`notebook examples`](https://github.com/microsoft/autogen/tree/main/notebook) may require a specific option to be installed. -->
+For [code execution](https://microsoft.github.io/autogen/FAQ#code-execution), we strongly recommend installing the python docker package, and using docker.
 
 For LLM inference configurations, check the [FAQ](https://microsoft.github.io/autogen/docs/FAQ#set-your-api-endpoints).
 
+
 ## Quickstart
 
 ## Multi-Agent Conversation Framework

autogen/agentchat/conversable_agent.py

@@ -87,9 +87,9 @@ class ConversableAgent(Agent):
                     If a list or a str of image name(s) is provided, the code will be executed in a docker container
                     with the first image successfully pulled.
                     If None, False or empty, the code will be executed in the current environment.
-                    Default is True, which will be converted into a list.
-                    If the code is executed in the current environment,
-                    the code must be trusted.
+                    Default is True when the docker python package is installed.
+                    When set to True, a default list will be used.
+                    We strongly recommend using docker for code execution.
                 - timeout (Optional, int): The maximum execution time in seconds.
                 - last_n_messages (Experimental, Optional, int): The number of messages to look back for code execution. Default to 1.
             llm_config (dict or False): llm inference configuration.

website/docs/Contribute.md

@@ -75,7 +75,7 @@ docker run -it autogen-dev
 ### Develop in Remote Container
 
 If you use vscode, you can open the autogen folder in a [Container](https://code.visualstudio.com/docs/remote/containers).
-We have provided the configuration in [devcontainer](https://github.com/microsoft/autogen/blob/main/.devcontainer).
+We have provided the configuration in [devcontainer](https://github.com/microsoft/autogen/blob/main/.devcontainer). They can be used in GitHub codespace too. Developing AutoGen in dev containers is recommended.
 
 ### Pre-commit
 

website/docs/FAQ.md

@@ -134,3 +134,10 @@ in the system message. This line is in the default system message of the `Assist
 
 If the `# filename` doesn't appear in the suggested code still, consider adding explicit instructions such as "save the code to disk" in the initial user message in `initiate_chat`.
 The `AssistantAgent` doesn't save all the code by default, because there are cases in which one would just like to finish a task without saving the code.
+
+## Code execution
+
+We strongly recommend using docker to execute code. There are two ways to use docker:
+
+1. Run autogen in a docker container. For example, when developing in GitHub codespace, the autogen runs in a docker container.
+2. Run autogen outside of a docker, while perform code execution with a docker container. For this option, make sure the python package `docker` is installed. When it is not installed and `use_docker` is omitted in `code_execution_config`, the code will be executed locally (this behavior is subject to change in future).

website/docs/Getting-Started.md

@@ -1,5 +1,3 @@
-
-
 # Getting Started
 
 <!-- ### Welcome to AutoGen, a library for enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework! -->
@@ -21,7 +19,7 @@ AutoGen is powered by collaborative [research studies](/docs/Research) from Micr
 ### Quickstart
 
 Install from pip: `pip install pyautogen`. Find more options in [Installation](/docs/Installation).
-
+For [code execution](https://microsoft.github.io/autogen/FAQ#code-execution), we strongly recommend installing the python docker package, and using docker.
 
 #### Multi-Agent Conversation Framework
 Autogen enables the next-gen LLM applications with a generic multi-agent conversation framework. It offers customizable and conversable agents which integrate LLMs, tools and human.

website/docs/Installation.md

@@ -14,6 +14,11 @@ conda install pyautogen -c conda-forge
 ``` -->
 
 ### Optional Dependencies
+* docker
+We strongly recommend using docker for code execution or running AutoGen in a docker container (e.g., when developing in GitHub codespace, the autogen runs in a docker container). To use docker for code execution, you also need to install the python package `docker`:
+```bash
+pip install docker
+```
 
 * blendsearch
 ```bash