Skip to main content

An extension of fabricatio, which provide the capability to question user to make better planning and etc.

Project description

fabricatio-question

An extension of fabricatio, which provide the capability to question user to make better planning and etc..


📦 Installation

This package is part of the fabricatio monorepo and can be installed as an optional dependency:

pip install fabricatio[question]

Or install all components:

pip install fabricatio[full]

🔍 Overview

Provides essential tools for:

User Questioning

This package enables the system to ask relevant questions to the user. It analyzes the current state of the task or conversation and determines what information is needed to make better planning decisions. For example, in a project planning scenario, it might ask about the project's budget, timeline, or specific requirements.

Information Gathering

By asking questions, it can gather crucial information from the user. This information is then used to improve the accuracy and effectiveness of the planning process. It can handle different types of responses and integrate the collected data into the overall system.

Integration with Fabricatio

It is designed to work seamlessly with the Fabricatio framework. It can communicate with other modules in the Fabricatio ecosystem to ensure that the questions asked are relevant to the overall context and that the gathered information is used appropriately.

...

🧩 Key Features

Intelligent Question Generation

The package uses advanced algorithms to generate intelligent questions. It takes into account the current context, the user's previous responses, and the overall goal of the task. This ensures that the questions are relevant, clear, and likely to elicit useful information.

Response Analysis

It can analyze the user's responses to the questions. It can extract relevant information from the responses, understand the user's intentions, and use this information to guide the next steps in the planning process.

Context Awareness

The system is context - aware, meaning it can adapt the questions based on the current state of the conversation or task. It can remember previous questions and responses, and use this knowledge to ask more targeted and meaningful questions.

...

🔗 Dependencies

Core dependencies:

  • fabricatio-core - Core interfaces and utilities This dependency provides the fundamental building blocks for the Fabricatio framework. It includes interfaces for task management, event handling, and data models. The fabricatio-question package uses these interfaces to interact with other modules in the Fabricatio ecosystem and ensure that the questioning process is integrated with the overall system. ...

📄 License

MIT – see LICENSE

GitHub: github.com/Whth/fabricatio

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fabricatio_question-0.1.4.dev0-py3-none-any.whl (8.8 kB view details)

Uploaded Python 3

File details

Details for the file fabricatio_question-0.1.4.dev0-py3-none-any.whl.

File metadata

File hashes

Hashes for fabricatio_question-0.1.4.dev0-py3-none-any.whl
Algorithm Hash digest
SHA256 062769db1d94ac6bae93975598c41ef86a55eff13e71a452212628facba198bf
MD5 ea7c7f6be84da1b824a1e78271a0643b
BLAKE2b-256 78a6cf45825b67f79eb8ef46c121a7e7bb3c40bba055a0f668d692e768a9f804

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page