feat: Add metadata and descriptions to various documentation pages in Chinese

- Added titles and descriptions to workspace usage, configuration, customization, design principles, installation, integration guide, lead agent, MCP integration, memory system, middleware, quick start, sandbox, skills, subagents, and tools documentation.
- Removed outdated API/Gateway reference and concepts glossary pages.
- Updated configuration reference to reflect current structure and removed unnecessary sections.
- Introduced new model provider documentation for Ark and updated the index page for model providers.
- Enhanced tutorials with titles and descriptions for better clarity and navigation.
This commit is contained in:
JeffJiang
2026-04-12 11:16:08 +08:00
parent 56d5fa3337
commit 44d9953e2e
81 changed files with 528 additions and 1027 deletions
@@ -1,3 +1,8 @@
---
title: Create Your First Harness
description: This tutorial shows you how to use the DeerFlow Harness programmatically — importing and using DeerFlow directly in your Python code rather than through the web interface.
---
import { Callout, Steps } from "nextra/components";
# Create Your First Harness
@@ -1,3 +1,8 @@
---
title: Deploy Your Own DeerFlow
description: This tutorial guides you through deploying DeerFlow to a production environment using Docker Compose for multi-user access.
---
import { Callout, Steps } from "nextra/components";
# Deploy Your Own DeerFlow
@@ -1,3 +1,8 @@
---
title: First Conversation
description: This tutorial walks you through your first complete agent conversation in DeerFlow — from launching the app to getting meaningful work done with the agent.
---
import { Callout, Steps } from "nextra/components";
# First Conversation
@@ -1,3 +1,8 @@
---
title: Use Tools and Skills
description: This tutorial shows you how to configure and use tools and skills in DeerFlow to give the agent access to web search, file operations, and domain-specific capabilities.
---
import { Callout } from "nextra/components";
# Use Tools and Skills
@@ -1,3 +1,8 @@
---
title: Work with Memory
description: This tutorial shows you how to enable and use DeerFlow's memory system so the agent remembers important information about you across multiple sessions.
---
import { Callout } from "nextra/components";
# Work with Memory