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bump version to 0.1.11 (#242)

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* bump version to 0.1.11

* fix format issue
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Chi Wang 2023-10-15 08:01:05 -07:00 committed by GitHub
parent 6156faaa0a
commit 1394e29326
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3 changed files with 6 additions and 6 deletions
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2
README.md
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@ -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 # See https://microsoft.github.io/autogen/docs/FAQ#set-your-api-endpoints
# and OAI_CONFIG_LIST_sample # and OAI_CONFIG_LIST_sample
config_list = config_list_from_json(env_or_file="OAI_CONFIG_LIST") 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}) assistant = AssistantAgent("assistant", llm_config={"config_list": config_list})
user_proxy = UserProxyAgent("user_proxy", code_execution_config={"work_dir": "coding"}) 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.") user_proxy.initiate_chat(assistant, message="Plot a chart of NVDA and TESLA stock price change YTD.")

2
autogen/version.py
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@ -1 +1 @@
__version__ = "0.1.10" __version__ = "0.1.11"

8
website/docs/Installation.md
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@ -14,11 +14,11 @@ conda install pyautogen -c conda-forge
``` --> ``` -->
### Optional Dependencies ### Optional Dependencies
1. For the best user experience and seamless code execution, we highly recommend using Docker with AutoGen. * docker
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.
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 ```bash
pip install docker pip install docker
``` ```