WFGY

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WFGY is an open-source AI Troubleshooting Atlas for RAG, agents, and real-world AI workflows. It includes a 16-problem map, Global Debug Card, and WFGY 4.0 to help builders find and fix issues.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is WFGY?

WFGY is an open-source AI Troubleshooting Atlas designed to help developers and engineers debug and optimize AI systems, particularly those involving RAG (Retrieval Augmented Generation) and AI agents. It provides a structured approach to identifying and resolving common AI workflow problems, featuring a '16-problem map' and a 'Global Debug Card'. The project has evolved through several versions, with WFGY 5.0 Avatar acting as a governed runtime for language and human-machine interaction, and Problem Map 3.0 offering a practical entry point for troubleshooting failing AI workflows. It emphasizes evaluation, governance, and reproducibility, offering tools like the Twin Atlas and Inverse Atlas for AI evaluation and problem reproduction.

Best used for

Ideal for developers who need to diagnose and fix issues in RAG, AI agents, and other complex AI workflows, evaluate AI system stability, and reproduce specific AI problems. Especially valuable for maintaining and improving the reliability of language-based AI applications.

Common actions

debug AI workflows

evaluate AI systems

troubleshoot RAG

govern AI behavior

reproduce AI problems

github copilot"AI Agents"face swappingcollaborationautomated workflowworkflowsdeepfakelow-code/no-codeopen-source

Capabilities

Key features

AI troubleshooting atlas
16-problem map
Global Debug Card
Governed avatar runtime
AI evaluation tools
TXT-based invocation

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is WFGY 5.0 Avatar?

WFGY 5.0 Avatar is the flagship public surface of the WFGY ecosystem. It functions as a protocol layer for engineered language and human-machine interaction, providing a governed runtime for building, tuning, and managing language selves across various tasks and environments.

How can I quickly start troubleshooting with WFGY?

If your AI workflow is already failing, the fastest practical first step is to use Problem Map 3.0. This component of WFGY is designed to provide immediate guidance and tools for diagnosing and resolving common issues in real-world AI systems.

What is the purpose of WFGY 4.0?

WFGY 4.0 serves as the governance engine behind the public flagship. Its role is to enforce route discipline, apply evaluation pressure, define legality boundaries, and manage high-pressure reasoning behavior within the WFGY ecosystem, ensuring robust and controlled operation.

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