Update version to 0.2.36, update package name (#3592)

* Update version to 0.2.36, update package name

* update publish

* Formatting

* Update README.md

* update email

.devcontainer/README.md

@@ -49,7 +49,7 @@ Feel free to modify these Dockerfiles for your specific project needs. Here are
 - **Setting Environment Variables**: Add environment variables using the `ENV` command for any application-specific configurations. We have prestaged the line needed to inject your OpenAI_key into the docker environment as a environmental variable. Others can be staged in the same way. Just uncomment the line.
     `# ENV OPENAI_API_KEY="{OpenAI-API-Key}"` to `ENV OPENAI_API_KEY="{OpenAI-API-Key}"`
 - **Need a less "Advanced" Autogen build**: If the `./full/Dockerfile` is to much but you need more than advanced then update this line in the Dockerfile file.
-`RUN pip install pyautogen[teachable,lmm,retrievechat,mathchat,blendsearch] autogenra` to install just what you need. `RUN pip install pyautogen[retrievechat,blendsearch] autogenra`
+`RUN pip install autogen-agentchat[teachable,lmm,retrievechat,mathchat,blendsearch]~=0.2 autogenra` to install just what you need. `RUN pip install autogen-agentchat[retrievechat,blendsearch]~=0.2 autogenra`
 - **Can't Dev without your favorite CLI tool**: if you need particular OS tools to be installed in your Docker container you can add those packages here right after the sudo for the `./base/Dockerfile` and `./full/Dockerfile` files. In the example below we are installing net-tools and vim to the environment.
 
     ```code

.devcontainer/full/Dockerfile

@@ -22,7 +22,7 @@ WORKDIR /home/autogen
 
 # Install Python packages
 RUN pip install --upgrade pip
-RUN pip install pyautogen[teachable,lmm,retrievechat,mathchat,blendsearch] autogenra
+RUN pip install autogen-agentchat[teachable,lmm,retrievechat,mathchat,blendsearch]~=0.2 autogenra
 RUN pip install numpy pandas matplotlib seaborn scikit-learn requests urllib3 nltk pillow pytest beautifulsoup4
 
 # Expose port

.github/workflows/python-package.yml

@@ -49,8 +49,5 @@ jobs:
           pip install twine
           python setup.py sdist bdist_wheel
       - name: Publish to PyPI
-        env:
-          TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }}
-          TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
         shell: pwsh
         run: twine upload dist/*

OAI_CONFIG_LIST_sample

@@ -1,5 +1,4 @@
 // Please modify the content, remove these four lines of comment and rename this file to OAI_CONFIG_LIST to run the sample code.
-// If using pyautogen v0.1.x with Azure OpenAI, please replace "base_url" with "api_base" (line 14 and line 21 below). Use "pip list" to check version of pyautogen installed.
 //
 // NOTE: This configuration lists GPT-4 as the default model, as this represents our current recommendation, and is known to work well with AutoGen. If you use a model other than GPT-4, you may need to revise various system prompts (especially if using weaker models like GPT-3.5-turbo). Moreover, if you use models other than those hosted by OpenAI or Azure, you may incur additional risks related to alignment and safety. Proceed with caution if updating this default.
 [

README.md

@@ -5,12 +5,9 @@
 
 <img src="https://microsoft.github.io/autogen/img/ag.svg" alt="AutoGen Logo" width="100">
 
-![Python Version](https://img.shields.io/badge/3.8%20%7C%203.9%20%7C%203.10%20%7C%203.11%20%7C%203.12-blue) [![PyPI version](https://img.shields.io/badge/PyPI-v0.2.34-blue.svg)](https://pypi.org/project/pyautogen/)
+![Python Version](https://img.shields.io/badge/3.8%20%7C%203.9%20%7C%203.10%20%7C%203.11%20%7C%203.12-blue) [![PyPI - Version](https://img.shields.io/pypi/v/autogen-agentchat)](https://pypi.org/project/autogen-agentchat/)
 [![NuGet version](https://badge.fury.io/nu/AutoGen.Core.svg)](https://badge.fury.io/nu/AutoGen.Core)
 
-[![Downloads](https://static.pepy.tech/badge/pyautogen/week)](https://pepy.tech/project/pyautogen)
-[![Discord](https://img.shields.io/discord/1153072414184452236?logo=discord&style=flat)](https://aka.ms/autogen-dc)
-
 [![Twitter](https://img.shields.io/twitter/url/https/twitter.com/cloudposse.svg?style=social&label=Follow%20%40pyautogen)](https://twitter.com/pyautogen)
 
 </div>
@@ -20,6 +17,10 @@
 AutoGen is an open-source programming framework for building AI agents and facilitating cooperation among multiple agents to solve tasks. AutoGen aims to streamline the development and research of agentic AI, much like PyTorch does for Deep Learning. It offers features such as agents capable of interacting with each other, facilitates the use of various large language models (LLMs) and tool use support, autonomous and human-in-the-loop workflows, and multi-agent conversation patterns.
 
 > [!IMPORTANT]
+> In order to better align with a new multi-packaging structure we have coming very soon, AutoGen is now available on PyPi as [`autogen-agentchat`](https://pypi.org/project/autogen-agentchat/) as of version `0.2.36`. This is the official package for the AutoGen project.
+
+
+> [!NOTE]
 > *Note for contributors and users*</b>: [microsoft/autogen](https://aka.ms/autogen-gh) is the official repository of AutoGen project and it is under active development and maintenance under MIT license. We welcome contributions from developers and organizations worldwide. Our goal is to foster a collaborative and inclusive community where diverse perspectives and expertise can drive innovation and enhance the project's capabilities. We acknowledge the invaluable contributions from our existing contributors, as listed in [contributors.md](./CONTRIBUTORS.md). Whether you are an individual contributor or represent an organization, we invite you to join us in shaping the future of this project. For further information please also see [Microsoft open-source contributing guidelines](https://github.com/microsoft/autogen?tab=readme-ov-file#contributing).
 >
 > -_Maintainers (Sept 6th, 2024)_
@@ -135,14 +136,14 @@ Find detailed instructions for users [here](https://microsoft.github.io/autogen/
 AutoGen requires **Python version >= 3.8, < 3.13**. It can be installed from pip:
 
 ```bash
-pip install pyautogen
+pip install autogen-agentchat~=0.2
 ```
 
 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.
 ```bash
-pip install "pyautogen[blendsearch]"
+pip install "autogen-agentchat[blendsearch]~=0.2"
 ``` -->
 
 Find more options in [Installation](https://microsoft.github.io/autogen/docs/Installation#option-2-install-autogen-locally-using-virtual-environment).

autogen/agentchat/contrib/capabilities/text_compressors.py

@@ -5,7 +5,7 @@
     import llmlingua
 except ImportError:
     IMPORT_ERROR = ImportError(
-        "LLMLingua is not installed. Please install it with `pip install pyautogen[long-context]`"
+        "LLMLingua is not installed. Please install it with `pip install autogen-agentchat[long-context]~=0.2`"
     )
     PromptCompressor = object
 else:

autogen/agentchat/contrib/retrieve_user_proxy_agent.py

@@ -9,7 +9,9 @@
 try:
     import chromadb
 except ImportError as e:
-    raise ImportError(f"{e}. You can try `pip install pyautogen[retrievechat]`, or install `chromadb` manually.")
+    raise ImportError(
+        f"{e}. You can try `pip install autogen-agentchat[retrievechat]~=0.2`, or install `chromadb` manually."
+    )
 from autogen.agentchat import UserProxyAgent
 from autogen.agentchat.agent import Agent
 from autogen.agentchat.contrib.vectordb.base import Document, QueryResults, VectorDB, VectorDBFactory

autogen/version.py

@@ -1 +1 @@
-__version__ = "0.2.35"
+__version__ = "0.2.36"