
* docs: split apart installation file into parts * missing newline * fix link --------- Co-authored-by: Chi Wang <wang.chi@microsoft.com>
3.9 KiB
Optional Dependencies
LLM Caching
To use LLM caching with Redis, you need to install the Python package with
the option redis
:
pip install "pyautogen[redis]"
See LLM Caching for details.
Docker
Even if you install AutoGen locally, we highly recommend using Docker for code execution.
To use docker for code execution, you also need to install the python package docker
:
pip install docker
You might want to override the default docker image used for code execution. To do that set use_docker
key of code_execution_config
property to the name of the image. E.g.:
user_proxy = autogen.UserProxyAgent(
name="agent",
human_input_mode="TERMINATE",
max_consecutive_auto_reply=10,
code_execution_config={"work_dir":"_output", "use_docker":"python:3"},
llm_config=llm_config,
system_message=""""Reply TERMINATE if the task has been solved at full satisfaction.
Otherwise, reply CONTINUE, or the reason why the task is not solved yet."""
)
blendsearch
pyautogen<0.2
offers a cost-effective hyperparameter optimization technique EcoOptiGen for tuning Large Language Models. Please install with the [blendsearch] option to use it.
pip install "pyautogen[blendsearch]<0.2"
Example notebooks:
retrievechat
pyautogen
supports retrieval-augmented generation tasks such as question answering and code generation with RAG agents. Please install with the [retrievechat] option to use it.
pip install "pyautogen[retrievechat]"
RetrieveChat can handle various types of documents. By default, it can process
plain text and PDF files, including formats such as 'txt', 'json', 'csv', 'tsv',
'md', 'html', 'htm', 'rtf', 'rst', 'jsonl', 'log', 'xml', 'yaml', 'yml' and 'pdf'.
If you install unstructured
(pip install "unstructured[all-docs]"
), additional document types such as 'docx',
'doc', 'odt', 'pptx', 'ppt', 'xlsx', 'eml', 'msg', 'epub' will also be supported.
You can find a list of all supported document types by using autogen.retrieve_utils.TEXT_FORMATS
.
Example notebooks:
Automated Code Generation and Question Answering with Retrieval Augmented Agents
Group Chat with Retrieval Augmented Generation (with 5 group member agents and 1 manager agent)
Automated Code Generation and Question Answering with Qdrant based Retrieval Augmented Agents
Teachability
To use Teachability, please install AutoGen with the [teachable] option.
pip install "pyautogen[teachable]"
Example notebook: Chatting with a teachable agent
Large Multimodal Model (LMM) Agents
We offered Multimodal Conversable Agent and LLaVA Agent. Please install with the [lmm] option to use it.
pip install "pyautogen[lmm]"
Example notebooks:
mathchat
pyautogen<0.2
offers an experimental agent for math problem solving. Please install with the [mathchat] option to use it.
pip install "pyautogen[mathchat]<0.2"
Example notebooks: