bump version to 0.1.11

README.md

@@ -89,7 +89,7 @@ from autogen import AssistantAgent, UserProxyAgent, config_list_from_json
 # See https://microsoft.github.io/autogen/docs/FAQ#set-your-api-endpoints
 # and OAI_CONFIG_LIST_sample
 config_list = config_list_from_json(env_or_file="OAI_CONFIG_LIST")
-# You can also set config_list directly as a list, for example, config_list = [{'model': 'gpt-4', 'api_key': '<your OpenAI API key here>'},]  
+# You can also set config_list directly as a list, for example, config_list = [{'model': 'gpt-4', 'api_key': '<your OpenAI API key here>'},]
 assistant = AssistantAgent("assistant", llm_config={"config_list": config_list})
 user_proxy = UserProxyAgent("user_proxy", code_execution_config={"work_dir": "coding"})
 user_proxy.initiate_chat(assistant, message="Plot a chart of NVDA and TESLA stock price change YTD.")

autogen/version.py

@@ -1 +1 @@
-__version__ = "0.1.10"
+__version__ = "0.1.11"

website/docs/Installation.md

@@ -14,11 +14,11 @@ conda install pyautogen -c conda-forge
 ``` -->
 
 ### Optional Dependencies
-1. For the best user experience and seamless code execution, we highly recommend using Docker with AutoGen. 
-2. Docker is a containerization platform that simplifies the setup and execution of your code. 
-3. If you're working in a GitHub Codespace environment, AutoGen make a easy development in environment with Docker container, which is convenient to use.
+* docker
 
- To use docker for code execution, you also need to install the python package `docker`:
+For the best user experience and seamless code execution, we highly recommend using Docker with AutoGen. Docker is a containerization platform that simplifies the setup and execution of your code. Developing in a docker container, such as GitHub Codespace, also makes the development convenient.
+
+When running AutoGen out of a docker container, to use docker for code execution, you also need to install the python package `docker`:
 ```bash
 pip install docker
 ```