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BESSER Agentic Framework

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The BESSER Agentic Framework (BAF) is part of the BESSER (Building Better Smart Software Faster) project. It aims to make the design and implementation of agents, bots and chatbots easier and accessible for everyone.

Check out the official documentation.

Quick start

Requirements

  • Python >=3.10
  • Recommended: Create a virtual environment (e.g. venv, conda)
  • Install the package:
pip install besser-agentic-framework

This command will install the base package with the core dependencies, but will omit some optional dependencies.

You can add the following tags to the installation:

  • extras: It will install the necessary dependencies for some additional agent functionalities (e.g., RAG, Speech-to-Text, plotly, opencv).
  • llms: Necessary dependencies to run LLMs (openai, replicate, transformers)
  • torch: To install PyTorch, necessary for the Simple Intent Classifier (PyTorch implementation) and HuggingFace models
  • tensorflow: Necessary for the Simple Intent Classifier (Tensorflow implementation) and some HuggingFace models. Since tensorflow is a very heavy package, this allows to install it only if necessary
  • docs: Dependencies to compile the project documentation (the one you are reading now)
  • all: It installs all the dependencies at once

This is how you would install the package with additional dependencies:

  pip install besser-agentic-framework[extras,llms,tensorflow]

If you cloned this repository, you can install the dependencies in 2 ways:

pip install -e .[extras]

or by referencing to the requirements files:

pip install -r requirements/requirements-extras.txt

Note that if you want to set your agent's language to Luxembourgish, you will need to manually install the spellux library.

Example agents

For more example agents, check out the BAF-agent-examples repository!

Metadata

Release files for besser-agentic-framework 4.5.2

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