# Tencent EdgeOne

> Tencent EdgeOne is Tencent Cloud's edge security and acceleration platform. It provides CDN acceleration, domain and origin configuration, DDoS and web protection, edge functions, KV storage, edge reasoning, Pages hosting, observability, APIs, pricing, and site management documentation.

This llms.txt file is the root navigation index for AI agents, developer tools, and retrieval systems. It only includes official EdgeOne documentation categories. Start here to choose the right module, then open the corresponding module file under `/llms/`. Each module file lists official Markdown documentation links and short descriptions where available. There is no `llms-full.txt` in this version.

## Sub-products

Use this section when the user asks about a specific EdgeOne product capability, such as acceleration, security, edge development, Pages, KV storage, or edge reasoning.

### Edge Acceleration

- [Site Acceleration](https://edgeone.ai/llms/site-acceleration.txt): Official documentation for CDN acceleration, cache configuration, Edge Cache, Rules Engine, file optimization, network optimization, URL rewrite, header modification, response modification, image and video processing, and download control. (64 pages)
- [L4 Proxy](https://edgeone.ai/llms/l4-proxy.txt): Official documentation for TCP/UDP layer-4 proxy instances, forwarding rules, rule management, and real client IP delivery through TOA, Proxy Protocol, or SPP. (11 pages)
- [Domain name service and origin server configuration](https://edgeone.ai/llms/domain-name-service-and-origin-server-configuration.txt): Official documentation for domain service, DNS hosting, DNS records, domain connection, traffic scheduling, HTTPS certificates, origin configuration, load balancing, origin-pull behavior, and origin protection. (43 pages)

### Edge Security

- [DDoS and Web Protection](https://edgeone.ai/llms/ddos-and-web-protection.txt): Official documentation for DDoS protection, web protection, WAF policies, custom rules, rate limiting, managed rules, exception rules, Bot Management, AI crawler control, client reputation, client attestation, and API asset discovery. (47 pages)

### Edge Developer Platform

- [Edge Functions](https://edgeone.ai/llms/edge-functions.txt): Official documentation for Edge Functions runtime, quick start, operation guide, Runtime APIs, standard web APIs, sample functions, and best practices. (63 pages)
- [KV Storage](https://edgeone.ai/llms/kv-storage.txt): Official documentation for EdgeOne KV storage overview and operation guide. (2 pages)
- [Edge reasoning](https://edgeone.ai/llms/edge-reasoning.txt): Official documentation for EdgeOne edge reasoning overview and quick guide. (2 pages)
- [Makers](https://edgeone.ai/llms/Makers-platform.txt): Official documentation for EdgeOne Makers. (113 pages)

## General documentation

Use this section when the user asks about product overview, onboarding, tutorials, observability, tools, API usage, pricing, resources, or site and billing management.

- [Product Introduction](https://edgeone.ai/llms/product-introduction.txt): Official documentation for EdgeOne product overview, strengths, use cases, product comparison, and usage limits (5 pages)
- [Getting Started](https://edgeone.ai/llms/getting-started.txt): Official onboarding documentation for choosing business scenarios, quickly accessing website security acceleration, deploying a website with Pages, and using EdgeOne Skill to access a first site. (4 pages)
- [Practical Tutorial](https://edgeone.ai/llms/practical-tutorial.txt): Official practical tutorials for cache preheating and purging, anti-fraud and hotlink protection, HTTPS practices, acceleration optimization, origin configuration, traffic scheduling, data analysis, alerts, third-party log platform integrations, and CORS response configuration. (16 pages)
- [Observability](https://edgeone.ai/llms/observability.txt): Official documentation for log service, real-time logs, offline logs, log delivery, data analysis, traffic analysis, security analysis, and alarm service. (27 pages)
- [Tool Guide](https://edgeone.ai/llms/tool-guide.txt): Official tool and troubleshooting documentation for abnormal status codes, EdgeOne 4XX/5XX troubleshooting, diagnostic tools, speed test tools, and IP location query. (7 pages)
- [Resources](https://edgeone.ai/llms/resources.txt): Official resources including release notes, announcements, general references, Terraform, AI resources, FAQs, agreements, TEO policies, contact information, and glossary. (28 pages)
- [API](https://edgeone.ai/llms/api.txt): Official EdgeOne API documentation, including API history, introduction, categories, request signing, site APIs, acceleration APIs, edge function APIs, security APIs, L4 proxy APIs, log APIs, billing APIs, certificate APIs, DNS APIs, KV storage APIs, data types, and error codes. (220 pages)
- [Pricing](https://edgeone.ai/llms/pricing.txt): Official pricing documentation for trial plans, free plan, billing overview, billing items, purchase guide, subscriptions, renewal guide, overdue and refund policies, plan comparison, clean traffic billing, and DDoS protection capacity. (29 pages)
- [Site and Billing Management](https://edgeone.ai/llms/site-and-billing-management.txt): Official documentation for billing management, site management, version management, and general policy. (15 pages)

## Navigation rules for AI agents

- For feature configuration tasks, start with the matching sub-product module.
- For pricing, purchase, renewal, refund, or plan comparison questions, use `pricing.txt`.
- For account, site, version, or configuration management questions, use `site-billing-management.txt`.
- For API automation tasks, use `api-reference.txt` first, then open the related product module if conceptual context is needed.
- For troubleshooting status codes or operational failures, use `tool-guide.txt` and `tutorials.txt`.
- For FAQs, release notes, agreements, policies, glossary, or contact information, use `resources.txt`.