Dialog Flow Framework#

Date: Mar 01, 2024 Version: 0.7.0

Number of downloads Supported python versions

The Dialog Flow Framework (DFF) is an open-source, Apache 2.0-licensed library that was developed specifically for creating dialog systems. DFF provides a comprehensive set of tools and resources, targeting a wide range of applications, including chatbots, virtual assistants, and other interactive systems. It allows developers to easily create and manage complex dialog flows, integrate with natural language processing (NLP) tools, and handle user input in a flexible and efficient manner. Additionally, the framework is highly customizable, allowing developers to easily adapt it to their specific needs and requirements.

DFF documentation includes the following sections:

Getting started#

Essential information about installing and using the library aimed at beginners can be found in the Getting started part of the documentation. This section also introduces the basic terms that form the principles of the framework. For deeper understanding of the API, consult the documentation sections described below.

User guides#

The User guides section provides comprehensive human-readable explanations of how your conversational service should be set up and function. It specifically highlights the aspects that are not covered by the API reference, e.g. deployment, optimization techniques, etc.

Tutorials#

Most capabilities of DFF can also be explored in the Tutorials section. These interactive files dynamically showcase how different modules and classes of the framework interact.

Examples#

Links to demonsration projects that leverage the library integrating it with external services and models and serve as examples can be found in this section.

API reference#

The API reference contains documentation for classes and abstractions used in the library which can be used to determine the exact typing and behavior of all the functions involved.

Development#

The Development section shows the library’s current development status and specifies the contribution rules.

Community#

The Community section links you to useful resources where you can find supplemental information about the framework and ask questions.

About us#

You can get more info about the development team in the About us section.

Indices and tables#