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lingtai-portal-guide

Explain LingTai portal internals, topology recording, and .portal directory structure.

621|58|Updated Mar 15, 2026
Search Tags:#architecture#api#visualization#topology#portal#replay#lingtai
One-click install
npx skills add https://github.com/Lingtai-AI/lingtai --skill lingtai-portal-guide-lingtai-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lingtai-portal-guide
Source: https://github.com/Lingtai-AI/lingtai/tree/main/tui/internal/preset/skills/lingtai-portal-guide
Command: npx skills add https://github.com/Lingtai-AI/lingtai --skill lingtai-portal-guide-lingtai-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The portal internals reference provides a concise guide to understand LingTai portal architecture, topology recording, replay system, and the .portal directory structure, enabling easier debugging and integration.

Core Features & Use Cases

  • Understand the LingTai portal components including topology.jsonl recording, replay chunks, and API endpoints for live and historical network data.
  • Visualize and inspect network topology, access live state via API, and replay historical frames for debugging and analysis.
  • Use this guide as a canonical reference when extending or integrating LingTai portal features with tools and dashboards.

Quick Start

Read this guide to understand how LingTai portal components and data flows are organized and how to access topology data and endpoints.

Frequently Asked Questions about lingtai-portal-guide

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the .portal directory structure and how does it store topology data?▼

The .portal directory structure organizes topology recording data using topology.jsonl files and replay chunks to store network topology snapshots and historical frames for visualization and debugging.

How do I access live network state and historical topology data via API?▼

You can access live network state and historical topology frames via specific API endpoints provided by the portal. These endpoints expose live data and replay chunks for debugging and analysis.

How does topology recording work when debugging network architecture?▼

Topology recording captures network architecture states into topology.jsonl files and replay chunks. This allows operators to visualize live topology and replay historical frames for debugging.

Can I use this portal reference to integrate topology snapshots with external dashboards?▼

Yes, you can use this canonical reference to integrate LingTai portal features, including topology snapshots and API endpoints, with external tools and dashboards for visualization.

What is the best way to document API endpoints and data formats for portal architecture?▼

The best way to document API endpoints and data formats is using this canonical guide, which provides authoritative definitions for portal architecture, file layout, and topology recording.

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