# LangBot Documentation

> Canonical documentation for LangBot: deployment, messaging integrations, plugins, development and HTTP API reference.

## Agent resources

- [Complete documentation text](https://langbot.app/docs/llms-full.txt)
- [All-language index](https://langbot.app/docs/llms.txt)

## en

- [en documentation index](https://langbot.app/docs/en/llms.txt)
- [en complete documentation text](https://langbot.app/docs/en/llms-full.txt)
- [en OpenAPI specification](https://langbot.app/docs/openapi/service-api-en.json)

- [Create a bot](https://langbot.app/docs/en/api-reference/bots/create-a-bot.md): POST /api/v1/platform/bots
- [Delete a bot](https://langbot.app/docs/en/api-reference/bots/delete-a-bot.md): DELETE /api/v1/platform/bots/{bot_uuid}
- [Get a bot](https://langbot.app/docs/en/api-reference/bots/get-a-bot.md): GET /api/v1/platform/bots/{bot_uuid}
- [Get bot event logs](https://langbot.app/docs/en/api-reference/bots/get-bot-event-logs.md): POST /api/v1/platform/bots/{bot_uuid}/logs
- [List all bots](https://langbot.app/docs/en/api-reference/bots/list-all-bots.md): GET /api/v1/platform/bots
- [Send a message through a bot](https://langbot.app/docs/en/api-reference/bots/send-a-message-through-a-bot.md): POST /api/v1/platform/bots/{bot_uuid}/send_message
- [Update a bot](https://langbot.app/docs/en/api-reference/bots/update-a-bot.md): PUT /api/v1/platform/bots/{bot_uuid}
- [Create an embedding model](https://langbot.app/docs/en/api-reference/embedding-models/create-an-embedding-model.md): POST /api/v1/provider/models/embedding
- [Delete an embedding model](https://langbot.app/docs/en/api-reference/embedding-models/delete-an-embedding-model.md): DELETE /api/v1/provider/models/embedding/{model_uuid}
- [Get an embedding model](https://langbot.app/docs/en/api-reference/embedding-models/get-an-embedding-model.md): GET /api/v1/provider/models/embedding/{model_uuid}
- [List all embedding models](https://langbot.app/docs/en/api-reference/embedding-models/list-all-embedding-models.md): GET /api/v1/provider/models/embedding
- [Test an embedding model](https://langbot.app/docs/en/api-reference/embedding-models/test-an-embedding-model.md): POST /api/v1/provider/models/embedding/{model_uuid}/test
- [Update an embedding model](https://langbot.app/docs/en/api-reference/embedding-models/update-an-embedding-model.md): PUT /api/v1/provider/models/embedding/{model_uuid}
- [Upload a document](https://langbot.app/docs/en/api-reference/files/upload-a-document.md): POST /api/v1/files/documents
- [Upload an image](https://langbot.app/docs/en/api-reference/files/upload-an-image.md): POST /api/v1/files/images
- [Add a file to a knowledge base](https://langbot.app/docs/en/api-reference/knowledge-bases/add-a-file-to-a-knowledge-base.md): POST /api/v1/knowledge/bases/{kb_uuid}/files
- [Create a knowledge base](https://langbot.app/docs/en/api-reference/knowledge-bases/create-a-knowledge-base.md): POST /api/v1/knowledge/bases
- [Delete a knowledge base](https://langbot.app/docs/en/api-reference/knowledge-bases/delete-a-knowledge-base.md): DELETE /api/v1/knowledge/bases/{kb_uuid}
- [Get a knowledge base](https://langbot.app/docs/en/api-reference/knowledge-bases/get-a-knowledge-base.md): GET /api/v1/knowledge/bases/{kb_uuid}
- [List all knowledge bases](https://langbot.app/docs/en/api-reference/knowledge-bases/list-all-knowledge-bases.md): GET /api/v1/knowledge/bases
- [List knowledge base files](https://langbot.app/docs/en/api-reference/knowledge-bases/list-knowledge-base-files.md): GET /api/v1/knowledge/bases/{kb_uuid}/files
- [Remove a file from a knowledge base](https://langbot.app/docs/en/api-reference/knowledge-bases/remove-a-file-from-a-knowledge-base.md): DELETE /api/v1/knowledge/bases/{kb_uuid}/files/{file_id}
- [Retrieve from a knowledge base](https://langbot.app/docs/en/api-reference/knowledge-bases/retrieve-from-a-knowledge-base.md): POST /api/v1/knowledge/bases/{kb_uuid}/retrieve
- [Update a knowledge base](https://langbot.app/docs/en/api-reference/knowledge-bases/update-a-knowledge-base.md): PUT /api/v1/knowledge/bases/{kb_uuid}
- [Get the knowledge engine creation schema](https://langbot.app/docs/en/api-reference/knowledge-engines/get-the-knowledge-engine-creation-schema.md): GET /api/v1/knowledge/engines/{plugin_id}/creation-schema
- [Get the knowledge engine retrieval schema](https://langbot.app/docs/en/api-reference/knowledge-engines/get-the-knowledge-engine-retrieval-schema.md): GET /api/v1/knowledge/engines/{plugin_id}/retrieval-schema
- [List available knowledge engines](https://langbot.app/docs/en/api-reference/knowledge-engines/list-available-knowledge-engines.md): GET /api/v1/knowledge/engines
- [Create an LLM model](https://langbot.app/docs/en/api-reference/llm-models/create-an-llm-model.md): POST /api/v1/provider/models/llm
- [Delete an LLM model](https://langbot.app/docs/en/api-reference/llm-models/delete-an-llm-model.md): DELETE /api/v1/provider/models/llm/{model_uuid}
- [Get an LLM model](https://langbot.app/docs/en/api-reference/llm-models/get-an-llm-model.md): GET /api/v1/provider/models/llm/{model_uuid}
- [List all LLM models](https://langbot.app/docs/en/api-reference/llm-models/list-all-llm-models.md): GET /api/v1/provider/models/llm
- [Test an LLM model](https://langbot.app/docs/en/api-reference/llm-models/test-an-llm-model.md): POST /api/v1/provider/models/llm/{model_uuid}/test
- [Update an LLM model](https://langbot.app/docs/en/api-reference/llm-models/update-an-llm-model.md): PUT /api/v1/provider/models/llm/{model_uuid}
- [Create a model provider](https://langbot.app/docs/en/api-reference/model-providers/create-a-model-provider.md): POST /api/v1/provider/providers
- [Delete a model provider](https://langbot.app/docs/en/api-reference/model-providers/delete-a-model-provider.md): DELETE /api/v1/provider/providers/{provider_uuid}
- [Get a model provider](https://langbot.app/docs/en/api-reference/model-providers/get-a-model-provider.md): GET /api/v1/provider/providers/{provider_uuid}
- [List all model providers](https://langbot.app/docs/en/api-reference/model-providers/list-all-model-providers.md): GET /api/v1/provider/providers
- [Update a model provider](https://langbot.app/docs/en/api-reference/model-providers/update-a-model-provider.md): PUT /api/v1/provider/providers/{provider_uuid}
- [List available parsers](https://langbot.app/docs/en/api-reference/parsers/list-available-parsers.md): GET /api/v1/knowledge/parsers
- [Copy a pipeline](https://langbot.app/docs/en/api-reference/pipelines/copy-a-pipeline.md): POST /api/v1/pipelines/{pipeline_uuid}/copy
- [Create a pipeline](https://langbot.app/docs/en/api-reference/pipelines/create-a-pipeline.md): POST /api/v1/pipelines
- [Delete a pipeline](https://langbot.app/docs/en/api-reference/pipelines/delete-a-pipeline.md): DELETE /api/v1/pipelines/{pipeline_uuid}
- [Get a pipeline](https://langbot.app/docs/en/api-reference/pipelines/get-a-pipeline.md): GET /api/v1/pipelines/{pipeline_uuid}
- [Get pipeline extension configuration](https://langbot.app/docs/en/api-reference/pipelines/get-pipeline-extension-configuration.md): GET /api/v1/pipelines/{pipeline_uuid}/extensions
- [Get pipeline metadata](https://langbot.app/docs/en/api-reference/pipelines/get-pipeline-metadata.md): GET /api/v1/pipelines/_/metadata
- [List all pipelines](https://langbot.app/docs/en/api-reference/pipelines/list-all-pipelines.md): GET /api/v1/pipelines
- [Update a pipeline](https://langbot.app/docs/en/api-reference/pipelines/update-a-pipeline.md): PUT /api/v1/pipelines/{pipeline_uuid}
- [Update pipeline extension configuration](https://langbot.app/docs/en/api-reference/pipelines/update-pipeline-extension-configuration.md): PUT /api/v1/pipelines/{pipeline_uuid}/extensions
- [Delete a plugin](https://langbot.app/docs/en/api-reference/plugins/delete-a-plugin.md): DELETE /api/v1/plugins/{author}/{plugin_name}
- [Get plugin configuration](https://langbot.app/docs/en/api-reference/plugins/get-plugin-configuration.md): GET /api/v1/plugins/{author}/{plugin_name}/config
- [Get plugin details](https://langbot.app/docs/en/api-reference/plugins/get-plugin-details.md): GET /api/v1/plugins/{author}/{plugin_name}
- [Install a plugin from GitHub](https://langbot.app/docs/en/api-reference/plugins/install-a-plugin-from-github.md): POST /api/v1/plugins/install/github
- [Install a plugin from Marketplace](https://langbot.app/docs/en/api-reference/plugins/install-a-plugin-from-marketplace.md): POST /api/v1/plugins/install/marketplace
- [List installed plugins](https://langbot.app/docs/en/api-reference/plugins/list-installed-plugins.md): GET /api/v1/plugins
- [Update plugin configuration](https://langbot.app/docs/en/api-reference/plugins/update-plugin-configuration.md): PUT /api/v1/plugins/{author}/{plugin_name}/config
- [Upgrade a plugin](https://langbot.app/docs/en/api-reference/plugins/upgrade-a-plugin.md): POST /api/v1/plugins/{author}/{plugin_name}/upgrade
- [Get system information](https://langbot.app/docs/en/api-reference/system/get-system-information.md): GET /api/v1/system/info
- [Get tool detail](https://langbot.app/docs/en/api-reference/tools/get-tool-detail.md): GET /api/v1/tools/{tool_name}
- [List all available tools](https://langbot.app/docs/en/api-reference/tools/list-all-available-tools.md): GET /api/v1/tools
- [LangBot Articles](https://langbot.app/docs/en/articles.md): Product updates, engineering deep dives, tutorials, integrations, and announcements from the LangBot Blog.
- [How to Connect DeepSeek R1 to WeChat, Discord & Telegram in 5 Minutes (FREE)](https://langbot.app/docs/en/articles/connect-deepseek-to-wechat.md): A step-by-step guide to connecting DeepSeek R1/V3 API to WeChat (Personal/Enterprise), Discord, Telegram, and more using LangBot. No coding required.
- [Deploy Your Own AI Bot to Discord, Telegram & WeChat in 5 Minutes](https://langbot.app/docs/en/articles/deploy-ai-bot-in-5-minutes.md): A step-by-step guide to deploying LangBot — the open-source platform that connects 20+ LLMs to 13+ messaging platforms with a single Docker command.
- [Finally Got My Dify Agent Working in Discord, Telegram and Slack](https://langbot.app/docs/en/articles/dify-agent-discord-telegram-slack.md): Finally Got My Dify Agent Working in Discord, Telegram and Slack
- [LangBot 4.6.0 External Knowledge Base Tutorial: Integrating Dify with LangBot for RAG-powered Conversations](https://langbot.app/docs/en/articles/dify-langbot-rag-knowledge-base.md): LangBot 4.6.0 External Knowledge Base Tutorial: Integrating Dify with LangBot for RAG-powered Conversations
- [The new LangBot Cloud is here — and multi-user Workspaces are now in open source](https://langbot.app/docs/en/articles/langbot-cloud-multi-user-workspaces.md): LangBot is an open-source AI bot platform connecting LLMs with messaging apps. The new Cloud and open-source editions now support multi-user Workspaces, invitations, and role-based access.
- [Deep Dive into the LangBot Plugin System: Process Isolation, Event-Driven Hooks, and Component Architecture](https://langbot.app/docs/en/articles/langbot-plugin-system-deep-dive.md): A source-level deep dive into LangBot 4.0's plugin architecture — process-isolated communication, event-driven hooks, a component-based extension model, and comparisons with Dify and MCP.
- [LangBot v4.10.0: Agentic Sandbox & Skills — Letting Your Agent Work Like a Developer](https://langbot.app/docs/en/articles/langbot-v4100-sandbox-skills.md): LangBot v4.10.0 brings a real sandbox (Box Runtime) and an on-demand Skills system to the built-in Agent. It can now run commands and edit files in an isolated environment, and pull in specialized know-how exactly when a task needs it.
- [LangBot v4.9.0: Full RAG Plugin Architecture — Knowledge Without Borders](https://langbot.app/docs/en/articles/langbot-v490-rag-plugin-architecture.md): LangBot v4.9.0 refactors the entire knowledge base system from a built-in implementation to a plugin-driven architecture, introducing KnowledgeEngine and Parser component types for boundless extensibility.
- [How I Built a Multi-Platform AI Bot with Langflow's Drag-and-Drop Workflows](https://langbot.app/docs/en/articles/langflow-drag-and-drop-ai-bot.md): How I Built a Multi-Platform AI Bot with Langflow's Drag-and-Drop Workflows
- [LangTARS: Open-Source AI Agent for Remote PC Control — Works with Dify, n8n & 10+ Messaging Platforms](https://langbot.app/docs/en/articles/langtars-remote-pc-control-dify-n8n.md): LangTARS is a LangBot native plugin that lets you remotely control Mac/Windows/Linux from Telegram, Discord & WeChat — with Dify and n8n workflow support.
- [How I Built a Multi-Platform AI Chatbot with n8n and LangBot](https://langbot.app/docs/en/articles/n8n-multi-platform-ai-chatbot.md): How I Built a Multi-Platform AI Chatbot with n8n and LangBot
- [Introducing the LangBot Blog](https://langbot.app/docs/en/articles/welcome.md): Welcome to the official LangBot blog. Stay up to date with product updates, new features, and milestones.
- [Command](https://langbot.app/docs/en/deploy/command.md): LangBot command-line reference: manage your AI bot instance, configuration, and runtime from the terminal.
- [Docker Deployment](https://langbot.app/docs/en/deploy/langbot/docker.md): Deploy LangBot with Docker Compose on Windows, Linux, or macOS.
- [Kubernetes Deployment](https://langbot.app/docs/en/deploy/langbot/kubernetes.md): Deploy LangBot on Kubernetes for scalable, production-grade AI bot hosting across messaging platforms.
- [Manual Deployment](https://langbot.app/docs/en/deploy/langbot/manual.md): Manually deploy LangBot from source. Step-by-step setup for the open-source AI bot platform on Linux, Windows and macOS.
- [1Panel Deployment](https://langbot.app/docs/en/deploy/langbot/one-click/1panel.md): One-click LangBot deployment with 1Panel. Install the open-source AI chatbot platform without touching the command line.
- [aaPanel Deployment](https://langbot.app/docs/en/deploy/langbot/one-click/bt.md): One-click LangBot deployment with aaPanel (BT Panel). Install the open-source AI bot platform through a web control panel.
- [Deploy with Package Manager](https://langbot.app/docs/en/deploy/langbot/package.md): Deploy LangBot with a package manager (uv/uvx). Quick install for the open-source LLM chatbot platform.
- [System Environment Settings](https://langbot.app/docs/en/deploy/settings.md): Complete reference for LangBot config.yaml: API, concurrency, databases, storage, plugins, MCP, monitoring, and Box.
- [Update LangBot](https://langbot.app/docs/en/deploy/update.md): Update LangBot to the latest version. Upgrade your self-hosted AI chatbot platform safely with these steps.
- [AI Assistant Context](https://langbot.app/docs/en/develop/agent-context.md): A single, copy-paste-the-whole-page context for AI coding assistants: LangBot's directory layout, how components are organized, how they connect at runtime, and how to set up the dev environment.
- [Component Architecture](https://langbot.app/docs/en/develop/comp-arch.md)
- [Development Configuration](https://langbot.app/docs/en/develop/dev-config.md)
- [Debugging Plugin Runtime, CLI, SDK](https://langbot.app/docs/en/develop/plugin-runtime.md)
- [Community Resources](https://langbot.app/docs/en/insight/community.md): LangBot community resources: GitHub, Discord, documentation and support for the open-source AI bot platform.
- [Data Collection Policy](https://langbot.app/docs/en/insight/data-collection-policy.md): Optional telemetry, execution observations and opt-out controls
- [Features](https://langbot.app/docs/en/insight/features.md): LangBot is an open-source, production-grade, LLM-native instant messaging bot development platform. Build AI agents for Discord, Telegram, Slack, QQ, WeChat, WeCom, Lark, DingTalk and more — with built-in Agent, RAG knowledge base, MCP, Skills and a code sandbox, plus deep integration with Dify, Coze, n8n and Langflow.
- [Welcome to LangBot Documentation](https://langbot.app/docs/en/insight/guide.md): LangBot is an open-source LLM bot platform connecting Discord, Telegram, WeChat, Slack and more to GPT, Claude, Gemini, DeepSeek and Dify. Start here.
- [Platform Feature Support](https://langbot.app/docs/en/insight/platform-features.md): Compare LangBot feature support across messaging platforms: Discord, Telegram, WeChat, Slack, QQ, Lark, DingTalk and more.
- [Troubleshooting](https://langbot.app/docs/en/insight/troubleshooting.md): Common LangBot local deployment and runtime issues, with symptoms, causes, and fixes. Currently covers Docker deployment issues.
- [Certified plugins and shared runtime](https://langbot.app/docs/en/plugin/certified-plugins.md): What certification is, why it exists, when you need it, and the shared-runtime-v1 / stateless-v1 contract.
- [System Compatibility](https://langbot.app/docs/en/plugin/compatibility.md)
- [Context APIs](https://langbot.app/docs/en/plugin/dev/apis/agent-run.md)
- [LangBot API](https://langbot.app/docs/en/plugin/dev/apis/common.md)
- [Message Platform Entities](https://langbot.app/docs/en/plugin/dev/apis/messages.md)
- [Pipeline Events and APIs](https://langbot.app/docs/en/plugin/dev/apis/pipeline-events.md)
- [Platform APIs](https://langbot.app/docs/en/plugin/dev/apis/platform.md)
- [Plugin Technical Details](https://langbot.app/docs/en/plugin/dev/apis/tech-details.md)
- [Completing Plugin Configuration Information](https://langbot.app/docs/en/plugin/dev/basic-info.md)
- [Adding Components](https://langbot.app/docs/en/plugin/dev/components/add.md)
- [Component: Command](https://langbot.app/docs/en/plugin/dev/components/command.md)
- [Component: Event Listener](https://langbot.app/docs/en/plugin/dev/components/event-listener.md)
- [Component: Knowledge Engine](https://langbot.app/docs/en/plugin/dev/components/knowledge-engine.md)
- [Component: Knowledge Retriever](https://langbot.app/docs/en/plugin/dev/components/knowledge-retriever.md)
- [Component: Page](https://langbot.app/docs/en/plugin/dev/components/page.md)
- [Component: Parser](https://langbot.app/docs/en/plugin/dev/components/parser.md)
- [Component: Runner](https://langbot.app/docs/en/plugin/dev/components/runner.md)
- [Component: Tool](https://langbot.app/docs/en/plugin/dev/components/tool.md)
- [Plugin Directory Structure](https://langbot.app/docs/en/plugin/dev/directory-structure.md)
- [Migration Guide](https://langbot.app/docs/en/plugin/dev/migration.md)
- [Distribute Plugins via GitHub](https://langbot.app/docs/en/plugin/dev/publish/github.md)
- [Publish to Plugin Marketplace](https://langbot.app/docs/en/plugin/dev/publish/market.md)
- [Code Style Guide](https://langbot.app/docs/en/plugin/dev/style.md)
- [Plugin Development Tutorial](https://langbot.app/docs/en/plugin/dev/tutor.md)
- [LangBot Plugins](https://langbot.app/docs/en/plugin/plugin-intro.md)
- [Service API Overview](https://langbot.app/docs/en/tags/readme.md)
- [Webhooks](https://langbot.app/docs/en/tags/webhook.md)
- [Knowledge Base](https://langbot.app/docs/en/usage/knowledge/readme.md): Build RAG knowledge bases in LangBot. Give your AI bot document retrieval and grounded answers across messaging platforms.
- [MCP Server](https://langbot.app/docs/en/usage/mcp/readme.md): Connect MCP (Model Context Protocol) servers to LangBot to extend your AI bot with external tools and data sources.
- [Models](https://langbot.app/docs/en/usage/models/readme.md): Configure LLM providers in LangBot: OpenAI GPT, Anthropic Claude, Google Gemini, DeepSeek, Qwen, Ollama and OpenAI-compatible models.
- [Integrating Coze API](https://langbot.app/docs/en/usage/pipelines/coze.md): Integrate Coze with LangBot. Connect your Coze bots and agents to Discord, Telegram, WeChat and other messaging platforms.
- [Using DeerFlow with LangBot](https://langbot.app/docs/en/usage/pipelines/deerflow.md): Use DeerFlow with LangBot to power your AI bot's conversation pipeline across messaging platforms.
- [Using Dify with LangBot](https://langbot.app/docs/en/usage/pipelines/dify.md): Connect Dify to LangBot. Deploy your Dify apps and agents as AI bots on Discord, Telegram, WeChat, Slack and more.
- [Using Langflow with LangBot](https://langbot.app/docs/en/usage/pipelines/langflow.md): Use Langflow with LangBot. Bring your Langflow flows to Discord, Telegram, WeChat and other IM platforms as AI bots.
- [Using n8n with LangBot](https://langbot.app/docs/en/usage/pipelines/n8n.md): Integrate n8n with LangBot to drive AI bot workflows and automations across messaging platforms.
- [Pipelines](https://langbot.app/docs/en/usage/pipelines/readme.md): LangBot pipelines connect AI orchestration platforms (Dify, Coze, n8n, Langflow) to your messaging bots. Learn how they work.
- [Using WeKnora with LangBot](https://langbot.app/docs/en/usage/pipelines/weknora.md): Use WeKnora with LangBot to add knowledge-based question answering to your AI messaging bots.
- [DingTalk](https://langbot.app/docs/en/usage/platforms/dingtalk.md): Build a DingTalk AI bot with LangBot. Connect GPT, Claude, Dify and more to DingTalk groups and conversations.
- [Discord](https://langbot.app/docs/en/usage/platforms/discord.md): Build a Discord AI bot with LangBot. Connect GPT, Claude, Gemini, DeepSeek and Dify to your Discord server in minutes.
- [HTTP Bot](https://langbot.app/docs/en/usage/platforms/http-bot.md): Integrate any backend with LangBot over plain HTTP: push messages in via a signed webhook, receive replies on a callback URL. Server-to-server, no long-lived connection.
- [KOOK](https://langbot.app/docs/en/usage/platforms/kook.md): Build a KOOK AI bot with LangBot. Connect large language models to your KOOK (Kaiheila) channels.
- [Feishu](https://langbot.app/docs/en/usage/platforms/lark.md): Build a Feishu/Lark AI bot with LangBot. Connect GPT, Claude, Dify and more to Feishu groups and messaging.
- [LINE](https://langbot.app/docs/en/usage/platforms/line.md): Build a LINE AI bot with LangBot. Connect large language models to LINE chats and official accounts.
- [Mattermost](https://langbot.app/docs/en/usage/platforms/mattermost.md): Connect a Mattermost bot to LangBot and bring agents and workflows to your Mattermost server in minutes.
- [Lagrange](https://langbot.app/docs/en/usage/platforms/qq/aiocqhttp/lagrange.md): Connect QQ to LangBot via Lagrange (aiocqhttp). Run an AI bot in QQ groups and private chats.
- [LiteLoaderQQNT](https://langbot.app/docs/en/usage/platforms/qq/aiocqhttp/llonebot.md): Connect QQ to LangBot via LiteLoaderQQNT (LLOneBot). Set up an AI bot for QQ groups and chats.
- [NapCat](https://langbot.app/docs/en/usage/platforms/qq/aiocqhttp/napcat.md): Connect QQ to LangBot via NapCat (aiocqhttp). Run an AI chatbot in QQ groups and private messages.
- [QQ Official Bot API (Webhook)](https://langbot.app/docs/en/usage/platforms/qq/official_webhook.md): Connect the QQ Official Bot API (Webhook) to LangBot to run a compliant AI bot on QQ.
- [Bots](https://langbot.app/docs/en/usage/platforms/readme.md): Connect LangBot to messaging platforms: Discord, Telegram, Slack, WeChat, QQ, Lark, DingTalk, LINE and more.
- [Lucky Lilla Desktop](https://langbot.app/docs/en/usage/platforms/satori/llonebot.md): Connect LangBot via the Satori protocol (LLOneBot) to run an AI bot across supported messaging clients.
- [Slack](https://langbot.app/docs/en/usage/platforms/slack.md): Build a Slack AI bot with LangBot. Connect GPT, Claude, Dify and more to your Slack workspace.
- [Telegram](https://langbot.app/docs/en/usage/platforms/telegram.md): Build a Telegram AI bot with LangBot. Connect GPT, Claude, Gemini, DeepSeek and Dify to Telegram chats and groups.
- [Web Page Bot](https://langbot.app/docs/en/usage/platforms/webpage.md): Embed a LangBot AI chatbot on your web page. Add an LLM-powered chat widget to any website.
- [Personal WeChat (OpenClaw)](https://langbot.app/docs/en/usage/platforms/wechat/weixin.md): Build a personal WeChat AI bot with LangBot. Connect large language models to your WeChat account.
- [WeCom](https://langbot.app/docs/en/usage/platforms/wecom/wecom.md): Connect WeCom (Enterprise WeChat) to LangBot. Deploy an LLM AI bot for your enterprise messaging.
- [WeCom Intelligent Bot](https://langbot.app/docs/en/usage/platforms/wecom/wecombot.md): Build a WeCom (Enterprise WeChat) AI bot with LangBot to bring LLM chat into your organization.
- [WeCom Customer Service](https://langbot.app/docs/en/usage/platforms/wecom/wecomcs.md): Set up WeCom Customer Service with LangBot to power AI-driven support conversations.
- [WeChat Official Account](https://langbot.app/docs/en/usage/platforms/wxoa.md): Build a WeChat Official Account AI bot with LangBot. Connect LLMs to your WeChat public account.
- [Sandbox Configuration](https://langbot.app/docs/en/usage/sandbox/config.md): Configure LangBot Box Runtime with Docker, nsjail, E2B, or the explicitly enabled non-isolated Host backend.
- [Sandbox](https://langbot.app/docs/en/usage/sandbox/readme.md): LangBot Box Runtime gives the built-in Agent command and file tools with a choice of sandboxed or trusted-host backends.
- [Runtimes and Extensions](https://langbot.app/docs/en/usage/sandbox/runtime-relationships.md): Understand LangBot runtimes and extensions: how the Box Runtime, sandbox backends and MCP servers fit together.
- [Skills](https://langbot.app/docs/en/usage/skills/readme.md): Use Skills in LangBot to load specialized know-how on demand, extending your AI Agent without bloating its context.
- [Integrating Models with 302 AI](https://langbot.app/docs/en/workshop/302ai-integration.md)
- [Implementing a Message Platform Adapter](https://langbot.app/docs/en/workshop/impl-platform-adapter.md)
- [MCP Ecosystem Details](https://langbot.app/docs/en/workshop/mcp-details.md)
- [Network Configuration Details](https://langbot.app/docs/en/workshop/network-details.md)
- [Integrating LangBot with New API](https://langbot.app/docs/en/workshop/newapi-integration.md)
- [Integrating Models with PPIO Cloud API](https://langbot.app/docs/en/workshop/ppio-integration.md)
- [Configure HTTP Reverse Proxy or Access LangBot Through Gateway](https://langbot.app/docs/en/workshop/production/proxy-and-ssl.md)

## zh

- [zh documentation index](https://langbot.app/docs/zh/llms.txt)
- [zh complete documentation text](https://langbot.app/docs/zh/llms-full.txt)
- [zh OpenAPI specification](https://langbot.app/docs/openapi/service-api-zh.json)

- [创建向量模型](https://langbot.app/docs/zh/api-reference/%E5%90%91%E9%87%8F%E6%A8%A1%E5%9E%8B/%E5%88%9B%E5%BB%BA%E5%90%91%E9%87%8F%E6%A8%A1%E5%9E%8B.md): POST /api/v1/provider/models/embedding
- [删除向量模型](https://langbot.app/docs/zh/api-reference/%E5%90%91%E9%87%8F%E6%A8%A1%E5%9E%8B/%E5%88%A0%E9%99%A4%E5%90%91%E9%87%8F%E6%A8%A1%E5%9E%8B.md): DELETE /api/v1/provider/models/embedding/{model_uuid}
- [更新向量模型](https://langbot.app/docs/zh/api-reference/%E5%90%91%E9%87%8F%E6%A8%A1%E5%9E%8B/%E6%9B%B4%E6%96%B0%E5%90%91%E9%87%8F%E6%A8%A1%E5%9E%8B.md): PUT /api/v1/provider/models/embedding/{model_uuid}
- [测试向量模型](https://langbot.app/docs/zh/api-reference/%E5%90%91%E9%87%8F%E6%A8%A1%E5%9E%8B/%E6%B5%8B%E8%AF%95%E5%90%91%E9%87%8F%E6%A8%A1%E5%9E%8B.md): POST /api/v1/provider/models/embedding/{model_uuid}/test
- [获取单个向量模型](https://langbot.app/docs/zh/api-reference/%E5%90%91%E9%87%8F%E6%A8%A1%E5%9E%8B/%E8%8E%B7%E5%8F%96%E5%8D%95%E4%B8%AA%E5%90%91%E9%87%8F%E6%A8%A1%E5%9E%8B.md): GET /api/v1/provider/models/embedding/{model_uuid}
- [获取所有向量模型](https://langbot.app/docs/zh/api-reference/%E5%90%91%E9%87%8F%E6%A8%A1%E5%9E%8B/%E8%8E%B7%E5%8F%96%E6%89%80%E6%9C%89%E5%90%91%E9%87%8F%E6%A8%A1%E5%9E%8B.md): GET /api/v1/provider/models/embedding
- [创建 LLM 模型](https://langbot.app/docs/zh/api-reference/%E5%A4%A7%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B/%E5%88%9B%E5%BB%BA-llm-%E6%A8%A1%E5%9E%8B.md): POST /api/v1/provider/models/llm
- [删除 LLM 模型](https://langbot.app/docs/zh/api-reference/%E5%A4%A7%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B/%E5%88%A0%E9%99%A4-llm-%E6%A8%A1%E5%9E%8B.md): DELETE /api/v1/provider/models/llm/{model_uuid}
- [更新 LLM 模型](https://langbot.app/docs/zh/api-reference/%E5%A4%A7%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B/%E6%9B%B4%E6%96%B0-llm-%E6%A8%A1%E5%9E%8B.md): PUT /api/v1/provider/models/llm/{model_uuid}
- [测试 LLM 模型](https://langbot.app/docs/zh/api-reference/%E5%A4%A7%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B/%E6%B5%8B%E8%AF%95-llm-%E6%A8%A1%E5%9E%8B.md): POST /api/v1/provider/models/llm/{model_uuid}/test
- [获取单个 LLM 模型](https://langbot.app/docs/zh/api-reference/%E5%A4%A7%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B/%E8%8E%B7%E5%8F%96%E5%8D%95%E4%B8%AA-llm-%E6%A8%A1%E5%9E%8B.md): GET /api/v1/provider/models/llm/{model_uuid}
- [获取所有 LLM 模型](https://langbot.app/docs/zh/api-reference/%E5%A4%A7%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B/%E8%8E%B7%E5%8F%96%E6%89%80%E6%9C%89-llm-%E6%A8%A1%E5%9E%8B.md): GET /api/v1/provider/models/llm
- [获取工具详情](https://langbot.app/docs/zh/api-reference/%E5%B7%A5%E5%85%B7/%E8%8E%B7%E5%8F%96%E5%B7%A5%E5%85%B7%E8%AF%A6%E6%83%85.md): GET /api/v1/tools/{tool_name}
- [获取所有可用工具](https://langbot.app/docs/zh/api-reference/%E5%B7%A5%E5%85%B7/%E8%8E%B7%E5%8F%96%E6%89%80%E6%9C%89%E5%8F%AF%E7%94%A8%E5%B7%A5%E5%85%B7.md): GET /api/v1/tools
- [从 GitHub 安装插件](https://langbot.app/docs/zh/api-reference/%E6%8F%92%E4%BB%B6/%E4%BB%8E-github-%E5%AE%89%E8%A3%85%E6%8F%92%E4%BB%B6.md): POST /api/v1/plugins/install/github
- [从 Marketplace 安装插件](https://langbot.app/docs/zh/api-reference/%E6%8F%92%E4%BB%B6/%E4%BB%8E-marketplace-%E5%AE%89%E8%A3%85%E6%8F%92%E4%BB%B6.md): POST /api/v1/plugins/install/marketplace
- [删除插件](https://langbot.app/docs/zh/api-reference/%E6%8F%92%E4%BB%B6/%E5%88%A0%E9%99%A4%E6%8F%92%E4%BB%B6.md): DELETE /api/v1/plugins/{author}/{plugin_name}
- [升级插件](https://langbot.app/docs/zh/api-reference/%E6%8F%92%E4%BB%B6/%E5%8D%87%E7%BA%A7%E6%8F%92%E4%BB%B6.md): POST /api/v1/plugins/{author}/{plugin_name}/upgrade
- [更新插件配置](https://langbot.app/docs/zh/api-reference/%E6%8F%92%E4%BB%B6/%E6%9B%B4%E6%96%B0%E6%8F%92%E4%BB%B6%E9%85%8D%E7%BD%AE.md): PUT /api/v1/plugins/{author}/{plugin_name}/config
- [获取已安装插件列表](https://langbot.app/docs/zh/api-reference/%E6%8F%92%E4%BB%B6/%E8%8E%B7%E5%8F%96%E5%B7%B2%E5%AE%89%E8%A3%85%E6%8F%92%E4%BB%B6%E5%88%97%E8%A1%A8.md): GET /api/v1/plugins
- [获取插件详情](https://langbot.app/docs/zh/api-reference/%E6%8F%92%E4%BB%B6/%E8%8E%B7%E5%8F%96%E6%8F%92%E4%BB%B6%E8%AF%A6%E6%83%85.md): GET /api/v1/plugins/{author}/{plugin_name}
- [获取插件配置](https://langbot.app/docs/zh/api-reference/%E6%8F%92%E4%BB%B6/%E8%8E%B7%E5%8F%96%E6%8F%92%E4%BB%B6%E9%85%8D%E7%BD%AE.md): GET /api/v1/plugins/{author}/{plugin_name}/config
- [上传图片](https://langbot.app/docs/zh/api-reference/%E6%96%87%E4%BB%B6/%E4%B8%8A%E4%BC%A0%E5%9B%BE%E7%89%87.md): POST /api/v1/files/images
- [上传文档](https://langbot.app/docs/zh/api-reference/%E6%96%87%E4%BB%B6/%E4%B8%8A%E4%BC%A0%E6%96%87%E6%A1%A3.md): POST /api/v1/files/documents
- [创建机器人](https://langbot.app/docs/zh/api-reference/%E6%9C%BA%E5%99%A8%E4%BA%BA/%E5%88%9B%E5%BB%BA%E6%9C%BA%E5%99%A8%E4%BA%BA.md): POST /api/v1/platform/bots
- [删除机器人](https://langbot.app/docs/zh/api-reference/%E6%9C%BA%E5%99%A8%E4%BA%BA/%E5%88%A0%E9%99%A4%E6%9C%BA%E5%99%A8%E4%BA%BA.md): DELETE /api/v1/platform/bots/{bot_uuid}
- [更新机器人](https://langbot.app/docs/zh/api-reference/%E6%9C%BA%E5%99%A8%E4%BA%BA/%E6%9B%B4%E6%96%B0%E6%9C%BA%E5%99%A8%E4%BA%BA.md): PUT /api/v1/platform/bots/{bot_uuid}
- [获取单个机器人](https://langbot.app/docs/zh/api-reference/%E6%9C%BA%E5%99%A8%E4%BA%BA/%E8%8E%B7%E5%8F%96%E5%8D%95%E4%B8%AA%E6%9C%BA%E5%99%A8%E4%BA%BA.md): GET /api/v1/platform/bots/{bot_uuid}
- [获取所有机器人](https://langbot.app/docs/zh/api-reference/%E6%9C%BA%E5%99%A8%E4%BA%BA/%E8%8E%B7%E5%8F%96%E6%89%80%E6%9C%89%E6%9C%BA%E5%99%A8%E4%BA%BA.md): GET /api/v1/platform/bots
- [获取机器人事件日志](https://langbot.app/docs/zh/api-reference/%E6%9C%BA%E5%99%A8%E4%BA%BA/%E8%8E%B7%E5%8F%96%E6%9C%BA%E5%99%A8%E4%BA%BA%E4%BA%8B%E4%BB%B6%E6%97%A5%E5%BF%97.md): POST /api/v1/platform/bots/{bot_uuid}/logs
- [通过机器人发送消息](https://langbot.app/docs/zh/api-reference/%E6%9C%BA%E5%99%A8%E4%BA%BA/%E9%80%9A%E8%BF%87%E6%9C%BA%E5%99%A8%E4%BA%BA%E5%8F%91%E9%80%81%E6%B6%88%E6%81%AF.md): POST /api/v1/platform/bots/{bot_uuid}/send_message
- [创建供应商](https://langbot.app/docs/zh/api-reference/%E6%A8%A1%E5%9E%8B%E4%BE%9B%E5%BA%94%E5%95%86/%E5%88%9B%E5%BB%BA%E4%BE%9B%E5%BA%94%E5%95%86.md): POST /api/v1/provider/providers
- [删除供应商](https://langbot.app/docs/zh/api-reference/%E6%A8%A1%E5%9E%8B%E4%BE%9B%E5%BA%94%E5%95%86/%E5%88%A0%E9%99%A4%E4%BE%9B%E5%BA%94%E5%95%86.md): DELETE /api/v1/provider/providers/{provider_uuid}
- [更新供应商](https://langbot.app/docs/zh/api-reference/%E6%A8%A1%E5%9E%8B%E4%BE%9B%E5%BA%94%E5%95%86/%E6%9B%B4%E6%96%B0%E4%BE%9B%E5%BA%94%E5%95%86.md): PUT /api/v1/provider/providers/{provider_uuid}
- [获取单个供应商](https://langbot.app/docs/zh/api-reference/%E6%A8%A1%E5%9E%8B%E4%BE%9B%E5%BA%94%E5%95%86/%E8%8E%B7%E5%8F%96%E5%8D%95%E4%B8%AA%E4%BE%9B%E5%BA%94%E5%95%86.md): GET /api/v1/provider/providers/{provider_uuid}
- [获取所有供应商](https://langbot.app/docs/zh/api-reference/%E6%A8%A1%E5%9E%8B%E4%BE%9B%E5%BA%94%E5%95%86/%E8%8E%B7%E5%8F%96%E6%89%80%E6%9C%89%E4%BE%9B%E5%BA%94%E5%95%86.md): GET /api/v1/provider/providers
- [创建流水线](https://langbot.app/docs/zh/api-reference/%E6%B5%81%E6%B0%B4%E7%BA%BF/%E5%88%9B%E5%BB%BA%E6%B5%81%E6%B0%B4%E7%BA%BF.md): POST /api/v1/pipelines
- [删除流水线](https://langbot.app/docs/zh/api-reference/%E6%B5%81%E6%B0%B4%E7%BA%BF/%E5%88%A0%E9%99%A4%E6%B5%81%E6%B0%B4%E7%BA%BF.md): DELETE /api/v1/pipelines/{pipeline_uuid}
- [复制流水线](https://langbot.app/docs/zh/api-reference/%E6%B5%81%E6%B0%B4%E7%BA%BF/%E5%A4%8D%E5%88%B6%E6%B5%81%E6%B0%B4%E7%BA%BF.md): POST /api/v1/pipelines/{pipeline_uuid}/copy
- [更新流水线](https://langbot.app/docs/zh/api-reference/%E6%B5%81%E6%B0%B4%E7%BA%BF/%E6%9B%B4%E6%96%B0%E6%B5%81%E6%B0%B4%E7%BA%BF.md): PUT /api/v1/pipelines/{pipeline_uuid}
- [更新流水线扩展配置](https://langbot.app/docs/zh/api-reference/%E6%B5%81%E6%B0%B4%E7%BA%BF/%E6%9B%B4%E6%96%B0%E6%B5%81%E6%B0%B4%E7%BA%BF%E6%89%A9%E5%B1%95%E9%85%8D%E7%BD%AE.md): PUT /api/v1/pipelines/{pipeline_uuid}/extensions
- [获取单个流水线](https://langbot.app/docs/zh/api-reference/%E6%B5%81%E6%B0%B4%E7%BA%BF/%E8%8E%B7%E5%8F%96%E5%8D%95%E4%B8%AA%E6%B5%81%E6%B0%B4%E7%BA%BF.md): GET /api/v1/pipelines/{pipeline_uuid}
- [获取所有流水线](https://langbot.app/docs/zh/api-reference/%E6%B5%81%E6%B0%B4%E7%BA%BF/%E8%8E%B7%E5%8F%96%E6%89%80%E6%9C%89%E6%B5%81%E6%B0%B4%E7%BA%BF.md): GET /api/v1/pipelines
- [获取流水线元数据](https://langbot.app/docs/zh/api-reference/%E6%B5%81%E6%B0%B4%E7%BA%BF/%E8%8E%B7%E5%8F%96%E6%B5%81%E6%B0%B4%E7%BA%BF%E5%85%83%E6%95%B0%E6%8D%AE.md): GET /api/v1/pipelines/_/metadata
- [获取流水线扩展配置](https://langbot.app/docs/zh/api-reference/%E6%B5%81%E6%B0%B4%E7%BA%BF/%E8%8E%B7%E5%8F%96%E6%B5%81%E6%B0%B4%E7%BA%BF%E6%89%A9%E5%B1%95%E9%85%8D%E7%BD%AE.md): GET /api/v1/pipelines/{pipeline_uuid}/extensions
- [从知识库删除文件](https://langbot.app/docs/zh/api-reference/%E7%9F%A5%E8%AF%86%E5%BA%93/%E4%BB%8E%E7%9F%A5%E8%AF%86%E5%BA%93%E5%88%A0%E9%99%A4%E6%96%87%E4%BB%B6.md): DELETE /api/v1/knowledge/bases/{kb_uuid}/files/{file_id}
- [创建知识库](https://langbot.app/docs/zh/api-reference/%E7%9F%A5%E8%AF%86%E5%BA%93/%E5%88%9B%E5%BB%BA%E7%9F%A5%E8%AF%86%E5%BA%93.md): POST /api/v1/knowledge/bases
- [删除知识库](https://langbot.app/docs/zh/api-reference/%E7%9F%A5%E8%AF%86%E5%BA%93/%E5%88%A0%E9%99%A4%E7%9F%A5%E8%AF%86%E5%BA%93.md): DELETE /api/v1/knowledge/bases/{kb_uuid}
- [将文件存入知识库](https://langbot.app/docs/zh/api-reference/%E7%9F%A5%E8%AF%86%E5%BA%93/%E5%B0%86%E6%96%87%E4%BB%B6%E5%AD%98%E5%85%A5%E7%9F%A5%E8%AF%86%E5%BA%93.md): POST /api/v1/knowledge/bases/{kb_uuid}/files
- [更新知识库](https://langbot.app/docs/zh/api-reference/%E7%9F%A5%E8%AF%86%E5%BA%93/%E6%9B%B4%E6%96%B0%E7%9F%A5%E8%AF%86%E5%BA%93.md): PUT /api/v1/knowledge/bases/{kb_uuid}
- [检索知识库](https://langbot.app/docs/zh/api-reference/%E7%9F%A5%E8%AF%86%E5%BA%93/%E6%A3%80%E7%B4%A2%E7%9F%A5%E8%AF%86%E5%BA%93.md): POST /api/v1/knowledge/bases/{kb_uuid}/retrieve
- [获取单个知识库](https://langbot.app/docs/zh/api-reference/%E7%9F%A5%E8%AF%86%E5%BA%93/%E8%8E%B7%E5%8F%96%E5%8D%95%E4%B8%AA%E7%9F%A5%E8%AF%86%E5%BA%93.md): GET /api/v1/knowledge/bases/{kb_uuid}
- [获取所有知识库](https://langbot.app/docs/zh/api-reference/%E7%9F%A5%E8%AF%86%E5%BA%93/%E8%8E%B7%E5%8F%96%E6%89%80%E6%9C%89%E7%9F%A5%E8%AF%86%E5%BA%93.md): GET /api/v1/knowledge/bases
- [获取知识库文件列表](https://langbot.app/docs/zh/api-reference/%E7%9F%A5%E8%AF%86%E5%BA%93/%E8%8E%B7%E5%8F%96%E7%9F%A5%E8%AF%86%E5%BA%93%E6%96%87%E4%BB%B6%E5%88%97%E8%A1%A8.md): GET /api/v1/knowledge/bases/{kb_uuid}/files
- [获取可用知识引擎列表](https://langbot.app/docs/zh/api-reference/%E7%9F%A5%E8%AF%86%E5%BC%95%E6%93%8E/%E8%8E%B7%E5%8F%96%E5%8F%AF%E7%94%A8%E7%9F%A5%E8%AF%86%E5%BC%95%E6%93%8E%E5%88%97%E8%A1%A8.md): GET /api/v1/knowledge/engines
- [获取知识引擎创建配置模式](https://langbot.app/docs/zh/api-reference/%E7%9F%A5%E8%AF%86%E5%BC%95%E6%93%8E/%E8%8E%B7%E5%8F%96%E7%9F%A5%E8%AF%86%E5%BC%95%E6%93%8E%E5%88%9B%E5%BB%BA%E9%85%8D%E7%BD%AE%E6%A8%A1%E5%BC%8F.md): GET /api/v1/knowledge/engines/{plugin_id}/creation-schema
- [获取知识引擎检索配置模式](https://langbot.app/docs/zh/api-reference/%E7%9F%A5%E8%AF%86%E5%BC%95%E6%93%8E/%E8%8E%B7%E5%8F%96%E7%9F%A5%E8%AF%86%E5%BC%95%E6%93%8E%E6%A3%80%E7%B4%A2%E9%85%8D%E7%BD%AE%E6%A8%A1%E5%BC%8F.md): GET /api/v1/knowledge/engines/{plugin_id}/retrieval-schema
- [获取系统信息](https://langbot.app/docs/zh/api-reference/%E7%B3%BB%E7%BB%9F/%E8%8E%B7%E5%8F%96%E7%B3%BB%E7%BB%9F%E4%BF%A1%E6%81%AF.md): GET /api/v1/system/info
- [获取可用解析器列表](https://langbot.app/docs/zh/api-reference/%E8%A7%A3%E6%9E%90%E5%99%A8/%E8%8E%B7%E5%8F%96%E5%8F%AF%E7%94%A8%E8%A7%A3%E6%9E%90%E5%99%A8%E5%88%97%E8%A1%A8.md): GET /api/v1/knowledge/parsers
- [LangBot 文章](https://langbot.app/docs/zh/articles.md): 同步自 LangBot Blog 的产品动态、技术解析、教程、集成实践与公告。
- [5分钟将 DeepSeek R1 接入微信、企业微信与 Discord (免费教程)](https://langbot.app/docs/zh/articles/connect-deepseek-to-wechat.md): 手把手教你使用 LangBot 将 DeepSeek R1/V3 (官方/硅基流动 API) 接入个人微信、企业微信、钉钉和飞书。无需写代码，支持联网搜索与知识库。
- [5 分钟部署你的 AI 机器人到 Discord、Telegram 和微信](https://langbot.app/docs/zh/articles/deploy-ai-bot-in-5-minutes.md): 手把手教你部署 LangBot —— 开源平台，一条 Docker 命令即可将 20+ 大模型接入 13+ 即时通讯平台。
- [终于让 Dify Agent 在 Discord、Telegram 和 Slack 上跑起来了](https://langbot.app/docs/zh/articles/dify-agent-discord-telegram-slack.md): 终于让 Dify Agent 在 Discord、Telegram 和 Slack 上跑起来了
- [LangBot 4.6.0 外部知识库教程：集成 Dify 实现 RAG 对话](https://langbot.app/docs/zh/articles/dify-langbot-rag-knowledge-base.md): LangBot 4.6.0 外部知识库教程：集成 Dify 实现 RAG 对话
- [LangBot Cloud 新版上线：多用户 Workspace 也来到开源版](https://langbot.app/docs/zh/articles/langbot-cloud-multi-user-workspaces.md): LangBot 是连接大模型与聊天平台的开源 AI 机器人平台。新版 Cloud 与开源版现已支持 Workspace 多用户、成员邀请和角色权限。
- [深入 LangBot 插件系统：进程隔离、事件驱动与组件化架构](https://langbot.app/docs/zh/articles/langbot-plugin-system-deep-dive.md): 从源码层面深入剖析 LangBot 4.0 插件系统的架构设计——进程隔离通信、事件驱动钩子、组件化扩展模型，以及与 Dify/MCP 等系统的对比思考。
- [LangBot v4.10.0：Agent 沙箱与技能——让 Agent 真正像开发者一样工作](https://langbot.app/docs/zh/articles/langbot-v4100-sandbox-skills.md): LangBot v4.10.0 为内置 Agent 引入真正的沙箱（Box Runtime）和按需加载的技能（Skills）系统。Agent 现在能在隔离环境中执行命令、读写文件，并在任务需要时即时调用专业知识。本文深度解读这次更新的设计与用法。
- [LangBot v4.9.0：知识库全面插件化——RAG 引擎、解析器与无边界知识架构](https://langbot.app/docs/zh/articles/langbot-v490-rag-plugin-architecture.md): LangBot v4.9.0 将知识库能力从内置实现重构为插件化架构，引入 RAG 引擎和解析器两大组件类型，实现知识库的无边界扩展。本文深度解读这次架构升级的设计思路、核心变更与开发指南。
- [用 Langflow 拖拽式工作流构建多平台 AI 机器人](https://langbot.app/docs/zh/articles/langflow-drag-and-drop-ai-bot.md): 用 Langflow 拖拽式工作流构建多平台 AI 机器人
- [LangTARS：开源 AI Agent 远程控制电脑 — 支持接入 Dify 和 n8n 工作流](https://langbot.app/docs/zh/articles/langtars-remote-pc-control-dify-n8n.md): LangTARS 是 LangBot 原生插件，让你通过 Telegram、Discord、微信等聊天软件远程控制电脑，并支持接入 Dify、n8n 等 AI 工作流平台。
- [用 n8n 和 LangBot 构建多平台 AI 聊天机器人](https://langbot.app/docs/zh/articles/n8n-multi-platform-ai-chatbot.md): 用 n8n 和 LangBot 构建多平台 AI 聊天机器人
- [LangBot 博客正式上线](https://langbot.app/docs/zh/articles/welcome.md): 欢迎来到 LangBot 官方博客。在这里获取产品更新、新功能和里程碑信息。
- [命令](https://langbot.app/docs/zh/deploy/command.md): LangBot 命令行参考：通过终端管理 AI 机器人实例、配置与运行时。
- [Docker部署](https://langbot.app/docs/zh/deploy/langbot/docker.md): 在 Windows、Linux 或 macOS 上使用 Docker Compose 部署 LangBot。
- [Kubernetes 部署](https://langbot.app/docs/zh/deploy/langbot/kubernetes.md): 在 Kubernetes 上部署 LangBot，实现可扩展、生产级的多平台 AI 机器人托管。
- [手动部署](https://langbot.app/docs/zh/deploy/langbot/manual.md): 从源码手动部署 LangBot：在 Linux、Windows、macOS 上搭建开源 AI 机器人平台的详细步骤。
- [1Panel部署](https://langbot.app/docs/zh/deploy/langbot/one-click/1panel.md): 使用 1Panel 一键部署 LangBot，无需命令行即可安装开源 AI 聊天机器人平台。
- [宝塔面板部署](https://langbot.app/docs/zh/deploy/langbot/one-click/bt.md): 使用宝塔面板（aaPanel）一键部署 LangBot，通过 Web 控制面板安装开源 AI 机器人平台。
- [使用包管理器部署](https://langbot.app/docs/zh/deploy/langbot/package.md): 使用包管理器（uv/uvx）部署 LangBot，快速安装开源大模型聊天机器人平台。
- [系统环境设置](https://langbot.app/docs/zh/deploy/settings.md): 完整说明 LangBot config.yaml 的 API、并发、数据库、向量库、存储、插件、MCP、监控与 Box 配置。
- [更新 LangBot](https://langbot.app/docs/zh/deploy/update.md): 将 LangBot 更新到最新版本，按步骤安全升级自托管的 AI 聊天机器人平台。
- [Discord 适配器 API 参考](https://langbot.app/docs/zh/develop/adapter/discord/api_reference.md)
- [Discord 适配器架构设计](https://langbot.app/docs/zh/develop/adapter/discord/design.md)
- [Discord 适配器快速入门](https://langbot.app/docs/zh/develop/adapter/discord/quick_start.md)
- [Discord 适配器文档](https://langbot.app/docs/zh/develop/adapter/discord/README.md)
- [Discord 适配器故障排除](https://langbot.app/docs/zh/develop/adapter/discord/troubleshooting.md)
- [AI 助手开发上下文](https://langbot.app/docs/zh/develop/agent-context.md): 可直接整页复制、粘贴给 AI 编程助手的 LangBot 项目上下文：目录结构、组件组织方式、运行期连接关系与开发环境配置。
- [组件架构](https://langbot.app/docs/zh/develop/comp-arch.md)
- [开发配置](https://langbot.app/docs/zh/develop/dev-config.md)
- [调试插件运行时、CLI、SDK](https://langbot.app/docs/zh/develop/plugin-runtime.md)
- [社区资源](https://langbot.app/docs/zh/insight/community.md): LangBot 社区资源：开源 AI 机器人平台的 GitHub、Discord、文档与支持渠道。
- [数据收集政策](https://langbot.app/docs/zh/insight/data-collection-policy.md): 可选遥测、功能执行记录与关闭方法
- [特性规格](https://langbot.app/docs/zh/insight/features.md): LangBot 是开源、生产级的 LLM 原生即时通信机器人开发平台，支持 QQ、微信、企业微信、飞书、钉钉、Discord、Telegram、Slack 等全球主流平台，内置 Agent、RAG 知识库、MCP、技能（Skills）与代码沙箱，深度集成 Dify、Coze、n8n、Langflow 等 Agent 平台。
- [欢迎访问 LangBot 文档](https://langbot.app/docs/zh/insight/guide.md): LangBot 是开源的大模型机器人平台，将 Discord、Telegram、微信、Slack 等连接到 GPT、Claude、Gemini、DeepSeek 与 Dify。从这里开始。
- [各消息平台特性支持性](https://langbot.app/docs/zh/insight/platform-features.md): 对比 LangBot 在各消息平台的功能支持：Discord、Telegram、微信、Slack、QQ、飞书、钉钉等。
- [故障排查](https://langbot.app/docs/zh/insight/troubleshooting.md): 收集 LangBot 本地部署和使用过程中的常见故障、症状、原因与解决办法；当前包含 Docker 部署问题。
- [认证插件与共享运行](https://langbot.app/docs/zh/plugin/certified-plugins.md): 认证是什么、为什么存在、什么时候需要，以及 shared-runtime-v1 / stateless-v1 的适配规范。
- [系统兼容处理](https://langbot.app/docs/zh/plugin/compatibility.md)
- [上下文 API](https://langbot.app/docs/zh/plugin/dev/apis/agent-run.md)
- [LangBot API](https://langbot.app/docs/zh/plugin/dev/apis/common.md)
- [消息平台实体](https://langbot.app/docs/zh/plugin/dev/apis/messages.md)
- [流水线事件和 API](https://langbot.app/docs/zh/plugin/dev/apis/pipeline-events.md)
- [平台 API](https://langbot.app/docs/zh/plugin/dev/apis/platform.md)
- [插件技术细节](https://langbot.app/docs/zh/plugin/dev/apis/tech-details.md)
- [完善配置信息](https://langbot.app/docs/zh/plugin/dev/basic-info.md)
- [添加组件](https://langbot.app/docs/zh/plugin/dev/components/add.md)
- [组件：命令](https://langbot.app/docs/zh/plugin/dev/components/command.md)
- [组件：事件监听器](https://langbot.app/docs/zh/plugin/dev/components/event-listener.md)
- [组件：知识引擎](https://langbot.app/docs/zh/plugin/dev/components/knowledge-engine.md)
- [组件：知识检索器](https://langbot.app/docs/zh/plugin/dev/components/knowledge-retriever.md)
- [组件：页面](https://langbot.app/docs/zh/plugin/dev/components/page.md)
- [组件：解析器](https://langbot.app/docs/zh/plugin/dev/components/parser.md)
- [组件：运行器](https://langbot.app/docs/zh/plugin/dev/components/runner.md)
- [组件：工具](https://langbot.app/docs/zh/plugin/dev/components/tool.md)
- [插件目录规范](https://langbot.app/docs/zh/plugin/dev/directory-structure.md)
- [迁移指南](https://langbot.app/docs/zh/plugin/dev/migration.md)
- [通过 GitHub 分发插件](https://langbot.app/docs/zh/plugin/dev/publish/github.md)
- [发布插件到插件市场](https://langbot.app/docs/zh/plugin/dev/publish/market.md)
- [代码规范指南](https://langbot.app/docs/zh/plugin/dev/style.md)
- [插件开发教程](https://langbot.app/docs/zh/plugin/dev/tutor.md)
- [LangBot 插件](https://langbot.app/docs/zh/plugin/plugin-intro.md)
- [Service API 概述](https://langbot.app/docs/zh/tags/readme.md)
- [Webhooks](https://langbot.app/docs/zh/tags/webhook.md)
- [规模使用和商用指南](https://langbot.app/docs/zh/tob.md)
- [咨询方式](https://langbot.app/docs/zh/tob/contact.md)
- [消息平台稳定性](https://langbot.app/docs/zh/tob/platform.md)
- [AI 内容合规性](https://langbot.app/docs/zh/tob/provider.md)
- [知识库 (Knowledge Base)](https://langbot.app/docs/zh/usage/knowledge/readme.md): 在 LangBot 中构建 RAG 知识库，为 AI 机器人提供文档检索与基于知识的回答。
- [MCP 服务器](https://langbot.app/docs/zh/usage/mcp/readme.md): 为 LangBot 接入 MCP（Model Context Protocol）服务器，用外部工具与数据源扩展 AI 机器人能力。
- [模型 (Models)](https://langbot.app/docs/zh/usage/models/readme.md): 在 LangBot 中配置大模型供应商：OpenAI GPT、Anthropic Claude、Google Gemini、DeepSeek、通义千问、Ollama 及 OpenAI 兼容模型。
- [接入 Coze API](https://langbot.app/docs/zh/usage/pipelines/coze.md): 将 Coze 与 LangBot 集成，把 Coze 智能体连接到 Discord、Telegram、微信等消息平台。
- [在 LangBot 上使用 DeerFlow](https://langbot.app/docs/zh/usage/pipelines/deerflow.md): 在 LangBot 中使用 DeerFlow，为 AI 机器人的对话管线提供支持。
- [在 LangBot 上使用 Dify](https://langbot.app/docs/zh/usage/pipelines/dify.md): 将 Dify 接入 LangBot，把 Dify 应用与智能体部署为 Discord、Telegram、微信、Slack 等平台的 AI 机器人。
- [在 LangBot 上使用 Langflow](https://langbot.app/docs/zh/usage/pipelines/langflow.md): 在 LangBot 中使用 Langflow，把 Langflow 流程作为 AI 机器人接入 Discord、Telegram、微信等平台。
- [在 LangBot 上使用 n8n](https://langbot.app/docs/zh/usage/pipelines/n8n.md): 将 n8n 与 LangBot 集成，驱动跨消息平台的 AI 机器人工作流与自动化。
- [对话流水线 (Pipelines)](https://langbot.app/docs/zh/usage/pipelines/readme.md): LangBot 管线将 AI 编排平台（Dify、Coze、n8n、Langflow）连接到你的消息机器人，了解其工作原理。
- [在 LangBot 上使用 TBox（蚂蚁百宝箱）](https://langbot.app/docs/zh/usage/pipelines/tbox.md): 在 LangBot 中使用 TBox，为 AI 机器人对话管线提供支持。
- [在 LangBot 上使用 WeKnora](https://langbot.app/docs/zh/usage/pipelines/weknora.md): 在 LangBot 中使用 WeKnora，为 AI 消息机器人加入基于知识库的问答能力。
- [钉钉](https://langbot.app/docs/zh/usage/platforms/dingtalk.md): 用 LangBot 搭建钉钉 AI 机器人，将 GPT、Claude、Dify 等接入钉钉群聊与会话。
- [Discord](https://langbot.app/docs/zh/usage/platforms/discord.md): 用 LangBot 搭建 Discord AI 机器人，几分钟内将 GPT、Claude、Gemini、DeepSeek 与 Dify 接入 Discord 服务器。
- [HTTP 通用接入](https://langbot.app/docs/zh/usage/platforms/http-bot.md): 通过 HTTP 将任意后端系统接入 LangBot：以签名 Webhook 推入消息，在回调地址接收回复。面向服务间集成，无需长连接。
- [KOOK](https://langbot.app/docs/zh/usage/platforms/kook.md): 用 LangBot 搭建 KOOK 开黑啦 AI 机器人，将大模型接入 KOOK 频道。
- [飞书](https://langbot.app/docs/zh/usage/platforms/lark.md): 用 LangBot 搭建飞书 AI 机器人，将 GPT、Claude、Dify 等接入飞书群组与消息。
- [LINE](https://langbot.app/docs/zh/usage/platforms/line.md): 用 LangBot 搭建 LINE AI 机器人，将大模型接入 LINE 聊天与官方账号。
- [Mattermost](https://langbot.app/docs/zh/usage/platforms/mattermost.md): 用 LangBot 接入 Mattermost 机器人，几分钟内将 智能体/工作流 接入 Mattermost 服务器。
- [Lagrange](https://langbot.app/docs/zh/usage/platforms/qq/aiocqhttp/lagrange.md): 通过 Lagrange（aiocqhttp）将 QQ 接入 LangBot，在 QQ 群聊与私聊中运行 AI 机器人。
- [LiteLoaderQQNT](https://langbot.app/docs/zh/usage/platforms/qq/aiocqhttp/llonebot.md): 通过 LiteLoaderQQNT（LLOneBot）将 QQ 接入 LangBot，为 QQ 群聊与会话搭建 AI 机器人。
- [NapCat](https://langbot.app/docs/zh/usage/platforms/qq/aiocqhttp/napcat.md): 通过 NapCat（aiocqhttp）将 QQ 接入 LangBot，在 QQ 群聊与私信中运行 AI 聊天机器人。
- [QQ 官方机器人 API（WebSocket）](https://langbot.app/docs/zh/usage/platforms/qq/official.md): 通过 QQ 官方机器人 API 接入 LangBot，在 QQ 上运行合规的 AI 机器人。
- [QQ 官方机器人 API（Webhook）](https://langbot.app/docs/zh/usage/platforms/qq/official_webhook.md): 通过 QQ 官方机器人 API（Webhook）接入 LangBot，在 QQ 上运行合规的 AI 机器人。
- [机器人 (Bots)](https://langbot.app/docs/zh/usage/platforms/readme.md): 将 LangBot 接入各消息平台：Discord、Telegram、Slack、微信、QQ、飞书、钉钉、LINE 等。
- [Lucky Lilla Desktop](https://langbot.app/docs/zh/usage/platforms/satori/llonebot.md): 通过 Satori 协议（LLOneBot）接入 LangBot，在受支持的消息客户端上运行 AI 机器人。
- [Slack](https://langbot.app/docs/zh/usage/platforms/slack.md): 用 LangBot 搭建 Slack AI 机器人，将 GPT、Claude、Dify 等接入你的 Slack 工作区。
- [Telegram](https://langbot.app/docs/zh/usage/platforms/telegram.md): 用 LangBot 搭建 Telegram AI 机器人，将 GPT、Claude、Gemini、DeepSeek 与 Dify 接入 Telegram 聊天与群组。
- [页面机器人](https://langbot.app/docs/zh/usage/platforms/webpage.md): 在网页中嵌入 LangBot AI 聊天机器人，为任意网站添加大模型驱动的聊天组件。
- [个人微信（WeChatPadPro）](https://langbot.app/docs/zh/usage/platforms/wechat/wechatpad.md): 通过 WeChatPad 将个人微信接入 LangBot，运行大模型驱动的 AI 机器人。
- [个人微信（OpenClaw）](https://langbot.app/docs/zh/usage/platforms/wechat/weixin.md): 用 LangBot 搭建个人微信 AI 机器人，将大模型接入你的微信账号。
- [企业微信](https://langbot.app/docs/zh/usage/platforms/wecom/wecom.md): 将企业微信接入 LangBot，为企业消息部署大模型 AI 机器人。
- [企业微信智能机器人](https://langbot.app/docs/zh/usage/platforms/wecom/wecombot.md): 用 LangBot 搭建企业微信智能机器人，将大模型对话引入你的组织。
- [企业微信客服](https://langbot.app/docs/zh/usage/platforms/wecom/wecomcs.md): 用 LangBot 配置企业微信客服，提供 AI 驱动的客服对话。
- [微信公众号](https://langbot.app/docs/zh/usage/platforms/wxoa.md): 用 LangBot 搭建微信公众号 AI 机器人，将大模型接入你的微信公众号。
- [沙箱配置](https://langbot.app/docs/zh/usage/sandbox/config.md): 配置 LangBot Box Runtime，选择 Docker、nsjail、E2B，或显式启用不具备隔离能力的 Host 后端。
- [沙箱 (Sandbox)](https://langbot.app/docs/zh/usage/sandbox/readme.md): LangBot Box Runtime 为内置 Agent 提供命令执行与文件工具，并可选择沙箱或可信本机后端。
- [运行时与扩展关系](https://langbot.app/docs/zh/usage/sandbox/runtime-relationships.md): 理解 LangBot 运行时与扩展：Box Runtime、沙箱后端与 MCP 服务器如何协同工作。
- [技能 (Skills)](https://langbot.app/docs/zh/usage/skills/readme.md): 在 LangBot 中使用技能（Skills），按需加载专业知识，扩展 AI Agent 而不撑爆上下文。
- [接入 302.AI 的模型](https://langbot.app/docs/zh/workshop/302ai-integration.md)
- [实现一个消息平台适配器](https://langbot.app/docs/zh/workshop/impl-platform-adapter.md)
- [MCP 生态详解](https://langbot.app/docs/zh/workshop/mcp-details.md)
- [网络配置详解](https://langbot.app/docs/zh/workshop/network-details.md)
- [LangBot 接入 New API](https://langbot.app/docs/zh/workshop/newapi-integration.md)
- [接入 PPIO 派欧云 API 的模型](https://langbot.app/docs/zh/workshop/ppio-integration.md)
- [配置 HTTP 反向代理或通过网关访问 LangBot](https://langbot.app/docs/zh/workshop/production/proxy-and-ssl.md)
- [接入来自胜算云的模型](https://langbot.app/docs/zh/workshop/shengsuanyun-integration.md)
- [接入来自小马算力的模型](https://langbot.app/docs/zh/workshop/tokenpony-integration.md)

## ja

- [ja documentation index](https://langbot.app/docs/ja/llms.txt)
- [ja complete documentation text](https://langbot.app/docs/ja/llms-full.txt)
- [ja OpenAPI specification](https://langbot.app/docs/openapi/service-api-ja.json)

- [创建机器人](https://langbot.app/docs/ja/api-reference/bots/%E5%88%9B%E5%BB%BA%E6%9C%BA%E5%99%A8%E4%BA%BA.md): POST /api/v1/platform/bots
- [删除机器人](https://langbot.app/docs/ja/api-reference/bots/%E5%88%A0%E9%99%A4%E6%9C%BA%E5%99%A8%E4%BA%BA.md): DELETE /api/v1/platform/bots/{bot_uuid}
- [更新机器人](https://langbot.app/docs/ja/api-reference/bots/%E6%9B%B4%E6%96%B0%E6%9C%BA%E5%99%A8%E4%BA%BA.md): PUT /api/v1/platform/bots/{bot_uuid}
- [获取单个机器人](https://langbot.app/docs/ja/api-reference/bots/%E8%8E%B7%E5%8F%96%E5%8D%95%E4%B8%AA%E6%9C%BA%E5%99%A8%E4%BA%BA.md): GET /api/v1/platform/bots/{bot_uuid}
- [获取所有机器人](https://langbot.app/docs/ja/api-reference/bots/%E8%8E%B7%E5%8F%96%E6%89%80%E6%9C%89%E6%9C%BA%E5%99%A8%E4%BA%BA.md): GET /api/v1/platform/bots
- [获取机器人事件日志](https://langbot.app/docs/ja/api-reference/bots/%E8%8E%B7%E5%8F%96%E6%9C%BA%E5%99%A8%E4%BA%BA%E4%BA%8B%E4%BB%B6%E6%97%A5%E5%BF%97.md): POST /api/v1/platform/bots/{bot_uuid}/logs
- [通过机器人发送消息](https://langbot.app/docs/ja/api-reference/bots/%E9%80%9A%E8%BF%87%E6%9C%BA%E5%99%A8%E4%BA%BA%E5%8F%91%E9%80%81%E6%B6%88%E6%81%AF.md): POST /api/v1/platform/bots/{bot_uuid}/send_message
- [创建向量模型](https://langbot.app/docs/ja/api-reference/embedding-models/%E5%88%9B%E5%BB%BA%E5%90%91%E9%87%8F%E6%A8%A1%E5%9E%8B.md): POST /api/v1/provider/models/embedding
- [删除向量模型](https://langbot.app/docs/ja/api-reference/embedding-models/%E5%88%A0%E9%99%A4%E5%90%91%E9%87%8F%E6%A8%A1%E5%9E%8B.md): DELETE /api/v1/provider/models/embedding/{model_uuid}
- [更新向量模型](https://langbot.app/docs/ja/api-reference/embedding-models/%E6%9B%B4%E6%96%B0%E5%90%91%E9%87%8F%E6%A8%A1%E5%9E%8B.md): PUT /api/v1/provider/models/embedding/{model_uuid}
- [测试向量模型](https://langbot.app/docs/ja/api-reference/embedding-models/%E6%B5%8B%E8%AF%95%E5%90%91%E9%87%8F%E6%A8%A1%E5%9E%8B.md): POST /api/v1/provider/models/embedding/{model_uuid}/test
- [获取单个向量模型](https://langbot.app/docs/ja/api-reference/embedding-models/%E8%8E%B7%E5%8F%96%E5%8D%95%E4%B8%AA%E5%90%91%E9%87%8F%E6%A8%A1%E5%9E%8B.md): GET /api/v1/provider/models/embedding/{model_uuid}
- [获取所有向量模型](https://langbot.app/docs/ja/api-reference/embedding-models/%E8%8E%B7%E5%8F%96%E6%89%80%E6%9C%89%E5%90%91%E9%87%8F%E6%A8%A1%E5%9E%8B.md): GET /api/v1/provider/models/embedding
- [上传图片](https://langbot.app/docs/ja/api-reference/files/%E4%B8%8A%E4%BC%A0%E5%9B%BE%E7%89%87.md): POST /api/v1/files/images
- [上传文档](https://langbot.app/docs/ja/api-reference/files/%E4%B8%8A%E4%BC%A0%E6%96%87%E6%A1%A3.md): POST /api/v1/files/documents
- [从知识库删除文件](https://langbot.app/docs/ja/api-reference/knowledge-bases/%E4%BB%8E%E7%9F%A5%E8%AF%86%E5%BA%93%E5%88%A0%E9%99%A4%E6%96%87%E4%BB%B6.md): DELETE /api/v1/knowledge/bases/{kb_uuid}/files/{file_id}
- [创建知识库](https://langbot.app/docs/ja/api-reference/knowledge-bases/%E5%88%9B%E5%BB%BA%E7%9F%A5%E8%AF%86%E5%BA%93.md): POST /api/v1/knowledge/bases
- [删除知识库](https://langbot.app/docs/ja/api-reference/knowledge-bases/%E5%88%A0%E9%99%A4%E7%9F%A5%E8%AF%86%E5%BA%93.md): DELETE /api/v1/knowledge/bases/{kb_uuid}
- [将文件存入知识库](https://langbot.app/docs/ja/api-reference/knowledge-bases/%E5%B0%86%E6%96%87%E4%BB%B6%E5%AD%98%E5%85%A5%E7%9F%A5%E8%AF%86%E5%BA%93.md): POST /api/v1/knowledge/bases/{kb_uuid}/files
- [更新知识库](https://langbot.app/docs/ja/api-reference/knowledge-bases/%E6%9B%B4%E6%96%B0%E7%9F%A5%E8%AF%86%E5%BA%93.md): PUT /api/v1/knowledge/bases/{kb_uuid}
- [检索知识库](https://langbot.app/docs/ja/api-reference/knowledge-bases/%E6%A3%80%E7%B4%A2%E7%9F%A5%E8%AF%86%E5%BA%93.md): POST /api/v1/knowledge/bases/{kb_uuid}/retrieve
- [获取单个知识库](https://langbot.app/docs/ja/api-reference/knowledge-bases/%E8%8E%B7%E5%8F%96%E5%8D%95%E4%B8%AA%E7%9F%A5%E8%AF%86%E5%BA%93.md): GET /api/v1/knowledge/bases/{kb_uuid}
- [获取所有知识库](https://langbot.app/docs/ja/api-reference/knowledge-bases/%E8%8E%B7%E5%8F%96%E6%89%80%E6%9C%89%E7%9F%A5%E8%AF%86%E5%BA%93.md): GET /api/v1/knowledge/bases
- [获取知识库文件列表](https://langbot.app/docs/ja/api-reference/knowledge-bases/%E8%8E%B7%E5%8F%96%E7%9F%A5%E8%AF%86%E5%BA%93%E6%96%87%E4%BB%B6%E5%88%97%E8%A1%A8.md): GET /api/v1/knowledge/bases/{kb_uuid}/files
- [获取可用知识引擎列表](https://langbot.app/docs/ja/api-reference/knowledge-engines/%E8%8E%B7%E5%8F%96%E5%8F%AF%E7%94%A8%E7%9F%A5%E8%AF%86%E5%BC%95%E6%93%8E%E5%88%97%E8%A1%A8.md): GET /api/v1/knowledge/engines
- [获取知识引擎创建配置模式](https://langbot.app/docs/ja/api-reference/knowledge-engines/%E8%8E%B7%E5%8F%96%E7%9F%A5%E8%AF%86%E5%BC%95%E6%93%8E%E5%88%9B%E5%BB%BA%E9%85%8D%E7%BD%AE%E6%A8%A1%E5%BC%8F.md): GET /api/v1/knowledge/engines/{plugin_id}/creation-schema
- [获取知识引擎检索配置模式](https://langbot.app/docs/ja/api-reference/knowledge-engines/%E8%8E%B7%E5%8F%96%E7%9F%A5%E8%AF%86%E5%BC%95%E6%93%8E%E6%A3%80%E7%B4%A2%E9%85%8D%E7%BD%AE%E6%A8%A1%E5%BC%8F.md): GET /api/v1/knowledge/engines/{plugin_id}/retrieval-schema
- [创建 LLM 模型](https://langbot.app/docs/ja/api-reference/llm-models/%E5%88%9B%E5%BB%BA-llm-%E6%A8%A1%E5%9E%8B.md): POST /api/v1/provider/models/llm
- [删除 LLM 模型](https://langbot.app/docs/ja/api-reference/llm-models/%E5%88%A0%E9%99%A4-llm-%E6%A8%A1%E5%9E%8B.md): DELETE /api/v1/provider/models/llm/{model_uuid}
- [更新 LLM 模型](https://langbot.app/docs/ja/api-reference/llm-models/%E6%9B%B4%E6%96%B0-llm-%E6%A8%A1%E5%9E%8B.md): PUT /api/v1/provider/models/llm/{model_uuid}
- [测试 LLM 模型](https://langbot.app/docs/ja/api-reference/llm-models/%E6%B5%8B%E8%AF%95-llm-%E6%A8%A1%E5%9E%8B.md): POST /api/v1/provider/models/llm/{model_uuid}/test
- [获取单个 LLM 模型](https://langbot.app/docs/ja/api-reference/llm-models/%E8%8E%B7%E5%8F%96%E5%8D%95%E4%B8%AA-llm-%E6%A8%A1%E5%9E%8B.md): GET /api/v1/provider/models/llm/{model_uuid}
- [获取所有 LLM 模型](https://langbot.app/docs/ja/api-reference/llm-models/%E8%8E%B7%E5%8F%96%E6%89%80%E6%9C%89-llm-%E6%A8%A1%E5%9E%8B.md): GET /api/v1/provider/models/llm
- [创建供应商](https://langbot.app/docs/ja/api-reference/model-providers/%E5%88%9B%E5%BB%BA%E4%BE%9B%E5%BA%94%E5%95%86.md): POST /api/v1/provider/providers
- [删除供应商](https://langbot.app/docs/ja/api-reference/model-providers/%E5%88%A0%E9%99%A4%E4%BE%9B%E5%BA%94%E5%95%86.md): DELETE /api/v1/provider/providers/{provider_uuid}
- [更新供应商](https://langbot.app/docs/ja/api-reference/model-providers/%E6%9B%B4%E6%96%B0%E4%BE%9B%E5%BA%94%E5%95%86.md): PUT /api/v1/provider/providers/{provider_uuid}
- [获取单个供应商](https://langbot.app/docs/ja/api-reference/model-providers/%E8%8E%B7%E5%8F%96%E5%8D%95%E4%B8%AA%E4%BE%9B%E5%BA%94%E5%95%86.md): GET /api/v1/provider/providers/{provider_uuid}
- [获取所有供应商](https://langbot.app/docs/ja/api-reference/model-providers/%E8%8E%B7%E5%8F%96%E6%89%80%E6%9C%89%E4%BE%9B%E5%BA%94%E5%95%86.md): GET /api/v1/provider/providers
- [获取可用解析器列表](https://langbot.app/docs/ja/api-reference/parsers/%E8%8E%B7%E5%8F%96%E5%8F%AF%E7%94%A8%E8%A7%A3%E6%9E%90%E5%99%A8%E5%88%97%E8%A1%A8.md): GET /api/v1/knowledge/parsers
- [创建流水线](https://langbot.app/docs/ja/api-reference/pipelines/%E5%88%9B%E5%BB%BA%E6%B5%81%E6%B0%B4%E7%BA%BF.md): POST /api/v1/pipelines
- [删除流水线](https://langbot.app/docs/ja/api-reference/pipelines/%E5%88%A0%E9%99%A4%E6%B5%81%E6%B0%B4%E7%BA%BF.md): DELETE /api/v1/pipelines/{pipeline_uuid}
- [复制流水线](https://langbot.app/docs/ja/api-reference/pipelines/%E5%A4%8D%E5%88%B6%E6%B5%81%E6%B0%B4%E7%BA%BF.md): POST /api/v1/pipelines/{pipeline_uuid}/copy
- [更新流水线](https://langbot.app/docs/ja/api-reference/pipelines/%E6%9B%B4%E6%96%B0%E6%B5%81%E6%B0%B4%E7%BA%BF.md): PUT /api/v1/pipelines/{pipeline_uuid}
- [更新流水线扩展配置](https://langbot.app/docs/ja/api-reference/pipelines/%E6%9B%B4%E6%96%B0%E6%B5%81%E6%B0%B4%E7%BA%BF%E6%89%A9%E5%B1%95%E9%85%8D%E7%BD%AE.md): PUT /api/v1/pipelines/{pipeline_uuid}/extensions
- [获取单个流水线](https://langbot.app/docs/ja/api-reference/pipelines/%E8%8E%B7%E5%8F%96%E5%8D%95%E4%B8%AA%E6%B5%81%E6%B0%B4%E7%BA%BF.md): GET /api/v1/pipelines/{pipeline_uuid}
- [获取所有流水线](https://langbot.app/docs/ja/api-reference/pipelines/%E8%8E%B7%E5%8F%96%E6%89%80%E6%9C%89%E6%B5%81%E6%B0%B4%E7%BA%BF.md): GET /api/v1/pipelines
- [获取流水线元数据](https://langbot.app/docs/ja/api-reference/pipelines/%E8%8E%B7%E5%8F%96%E6%B5%81%E6%B0%B4%E7%BA%BF%E5%85%83%E6%95%B0%E6%8D%AE.md): GET /api/v1/pipelines/_/metadata
- [获取流水线扩展配置](https://langbot.app/docs/ja/api-reference/pipelines/%E8%8E%B7%E5%8F%96%E6%B5%81%E6%B0%B4%E7%BA%BF%E6%89%A9%E5%B1%95%E9%85%8D%E7%BD%AE.md): GET /api/v1/pipelines/{pipeline_uuid}/extensions
- [从 GitHub 安装插件](https://langbot.app/docs/ja/api-reference/plugins/%E4%BB%8E-github-%E5%AE%89%E8%A3%85%E6%8F%92%E4%BB%B6.md): POST /api/v1/plugins/install/github
- [从 Marketplace 安装插件](https://langbot.app/docs/ja/api-reference/plugins/%E4%BB%8E-marketplace-%E5%AE%89%E8%A3%85%E6%8F%92%E4%BB%B6.md): POST /api/v1/plugins/install/marketplace
- [删除插件](https://langbot.app/docs/ja/api-reference/plugins/%E5%88%A0%E9%99%A4%E6%8F%92%E4%BB%B6.md): DELETE /api/v1/plugins/{author}/{plugin_name}
- [升级插件](https://langbot.app/docs/ja/api-reference/plugins/%E5%8D%87%E7%BA%A7%E6%8F%92%E4%BB%B6.md): POST /api/v1/plugins/{author}/{plugin_name}/upgrade
- [更新插件配置](https://langbot.app/docs/ja/api-reference/plugins/%E6%9B%B4%E6%96%B0%E6%8F%92%E4%BB%B6%E9%85%8D%E7%BD%AE.md): PUT /api/v1/plugins/{author}/{plugin_name}/config
- [获取已安装插件列表](https://langbot.app/docs/ja/api-reference/plugins/%E8%8E%B7%E5%8F%96%E5%B7%B2%E5%AE%89%E8%A3%85%E6%8F%92%E4%BB%B6%E5%88%97%E8%A1%A8.md): GET /api/v1/plugins
- [获取插件详情](https://langbot.app/docs/ja/api-reference/plugins/%E8%8E%B7%E5%8F%96%E6%8F%92%E4%BB%B6%E8%AF%A6%E6%83%85.md): GET /api/v1/plugins/{author}/{plugin_name}
- [获取插件配置](https://langbot.app/docs/ja/api-reference/plugins/%E8%8E%B7%E5%8F%96%E6%8F%92%E4%BB%B6%E9%85%8D%E7%BD%AE.md): GET /api/v1/plugins/{author}/{plugin_name}/config
- [获取系统信息](https://langbot.app/docs/ja/api-reference/system/%E8%8E%B7%E5%8F%96%E7%B3%BB%E7%BB%9F%E4%BF%A1%E6%81%AF.md): GET /api/v1/system/info
- [ツール詳細を取得](https://langbot.app/docs/ja/api-reference/%E3%83%84%E3%83%BC%E3%83%AB/%E3%83%84%E3%83%BC%E3%83%AB%E8%A9%B3%E7%B4%B0%E3%82%92%E5%8F%96%E5%BE%97.md): GET /api/v1/tools/{tool_name}
- [利用可能なツール一覧を取得](https://langbot.app/docs/ja/api-reference/%E3%83%84%E3%83%BC%E3%83%AB/%E5%88%A9%E7%94%A8%E5%8F%AF%E8%83%BD%E3%81%AA%E3%83%84%E3%83%BC%E3%83%AB%E4%B8%80%E8%A6%A7%E3%82%92%E5%8F%96%E5%BE%97.md): GET /api/v1/tools
- [LangBot 記事](https://langbot.app/docs/ja/articles.md): LangBot Blog の製品アップデート、技術解説、チュートリアル、連携事例、お知らせをまとめています。
- [DeepSeek R1 を WeChat・Discord・Telegram に5分で接続する方法](https://langbot.app/docs/ja/articles/connect-deepseek-to-wechat.md): A step-by-step guide to connecting DeepSeek R1/V3 API to WeChat (Personal/Enterprise), Discord, Telegram, and more using LangBot. No coding required.
- [AI Bot を Discord・Telegram・WeChat に5分でデプロイ](https://langbot.app/docs/ja/articles/deploy-ai-bot-in-5-minutes.md): A step-by-step guide to deploying LangBot — the open-source platform that connects 20+ LLMs to 13+ messaging platforms with a single Docker command.
- [Dify Agent を Discord・Telegram・Slack で動かす](https://langbot.app/docs/ja/articles/dify-agent-discord-telegram-slack.md): Finally Got My Dify Agent Working in Discord, Telegram and Slack
- [LangBot 4.6.0 外部ナレッジベース入門：Dify と連携した RAG 会話](https://langbot.app/docs/ja/articles/dify-langbot-rag-knowledge-base.md): LangBot 4.6.0 External Knowledge Base Tutorial: Integrating Dify with LangBot for RAG-powered Conversations
- [新しい LangBot Cloud が公開—オープンソース版もマルチユーザー Workspace に対応](https://langbot.app/docs/ja/articles/langbot-cloud-multi-user-workspaces.md): LangBot は LLM とメッセージングアプリを接続するオープンソース AI Bot プラットフォームです。新しい Cloud とオープンソース版はマルチユーザー Workspace、招待、ロール権限に対応しました。
- [LangBot プラグインシステム詳解：プロセス分離・イベント駆動・コンポーネント設計](https://langbot.app/docs/ja/articles/langbot-plugin-system-deep-dive.md): A source-level deep dive into LangBot 4.0's plugin architecture — process-isolated communication, event-driven hooks, a component-based extension model, and comparisons with Dify and MCP.
- [LangBot v4.10.0：Agent Sandbox と Skills](https://langbot.app/docs/ja/articles/langbot-v4100-sandbox-skills.md): LangBot v4.10.0 brings a real sandbox (Box Runtime) and an on-demand Skills system to the built-in Agent. It can now run commands and edit files in an isolated environment, and pull in specialized know-how exactly when a task needs it.
- [LangBot v4.9.0：完全プラグイン化された RAG アーキテクチャ](https://langbot.app/docs/ja/articles/langbot-v490-rag-plugin-architecture.md): LangBot v4.9.0 refactors the entire knowledge base system from a built-in implementation to a plugin-driven architecture, introducing KnowledgeEngine and Parser component types for boundless extensibility.
- [Langflow のドラッグ＆ドロップでマルチプラットフォーム AI Bot を構築](https://langbot.app/docs/ja/articles/langflow-drag-and-drop-ai-bot.md): How I Built a Multi-Platform AI Bot with Langflow's Drag-and-Drop Workflows
- [LangTARS：Dify・n8n と連携するオープンソース PC 操作 Agent](https://langbot.app/docs/ja/articles/langtars-remote-pc-control-dify-n8n.md): LangTARS is a LangBot native plugin that lets you remotely control Mac/Windows/Linux from Telegram, Discord & WeChat — with Dify and n8n workflow support.
- [n8n と LangBot でマルチプラットフォーム AI Chatbot を構築](https://langbot.app/docs/ja/articles/n8n-multi-platform-ai-chatbot.md): How I Built a Multi-Platform AI Chatbot with n8n and LangBot
- [LangBot Blog のご紹介](https://langbot.app/docs/ja/articles/welcome.md): Welcome to the official LangBot blog. Stay up to date with product updates, new features, and milestones.
- [コマンド](https://langbot.app/docs/ja/deploy/command.md): LangBot コマンドラインリファレンス：ターミナルから AI ボットのインスタンス・設定・ランタイムを管理。
- [Dockerデプロイ](https://langbot.app/docs/ja/deploy/langbot/docker.md): Windows、Linux、macOS で Docker Compose を使って LangBot を起動します。
- [Kubernetes デプロイ](https://langbot.app/docs/ja/deploy/langbot/kubernetes.md): Kubernetes 上に LangBot をデプロイし、スケーラブルで本番グレードの AI ボットホスティングを実現。
- [手動デプロイ](https://langbot.app/docs/ja/deploy/langbot/manual.md): ソースから LangBot を手動デプロイ。Linux・Windows・macOS でオープンソース AI ボットプラットフォームを構築する手順。
- [1Panelデプロイ](https://langbot.app/docs/ja/deploy/langbot/one-click/1panel.md): 1Panel で LangBot をワンクリックデプロイ。コマンドライン不要でオープンソース AI チャットボットを導入。
- [aaPanelデプロイ](https://langbot.app/docs/ja/deploy/langbot/one-click/bt.md): aaPanel（宝塔パネル）で LangBot をワンクリックデプロイ。Web コントロールパネルから導入。
- [パッケージマネージャーでのデプロイ](https://langbot.app/docs/ja/deploy/langbot/package.md): パッケージマネージャ（uv/uvx）で LangBot をデプロイ。オープンソース LLM チャットボットを素早く導入。
- [システム環境設定](https://langbot.app/docs/ja/deploy/settings.md): LangBot config.yaml の API、並行処理、DB、ストレージ、プラグイン、MCP、監視、Box の完全リファレンス。
- [LangBotの更新](https://langbot.app/docs/ja/deploy/update.md): LangBot を最新版へ更新。セルフホスト型 AI チャットボットを安全にアップグレードする手順。
- [AI アシスタント開発コンテキスト](https://langbot.app/docs/ja/develop/agent-context.md): AI コーディングアシスタントにページ全体をそのままコピー＆ペーストできる LangBot のコンテキスト：ディレクトリ構成、コンポーネントの構成方法、実行時の接続関係、開発環境のセットアップ。
- [コンポーネントアーキテクチャ](https://langbot.app/docs/ja/develop/comp-arch.md)
- [開発設定](https://langbot.app/docs/ja/develop/dev-config.md)
- [プラグインランタイム、CLI、SDKのデバッグ](https://langbot.app/docs/ja/develop/plugin-runtime.md)
- [コミュニティリソース](https://langbot.app/docs/ja/insight/community.md): LangBot コミュニティリソース：オープンソース AI ボットの GitHub・Discord・ドキュメント・サポート。
- [データ収集ポリシー](https://langbot.app/docs/ja/insight/data-collection-policy.md): 任意のテレメトリ、実行記録と無効化の方法
- [機能](https://langbot.app/docs/ja/insight/features.md): LangBot は、オープンソースで本番運用に耐える LLM ネイティブのインスタントメッセージングボット開発プラットフォームです。LINE、Slack、Discord、Telegram、QQ、WeChat、企業微信、Lark、DingTalk などに対応し、Agent・RAG ナレッジベース・MCP・スキル（Skills）・コードサンドボックスを内蔵。Dify、Coze、n8n、Langflow などの Agent プラットフォームと深く統合します。
- [LangBotドキュメントへようこそ](https://langbot.app/docs/ja/insight/guide.md): LangBot は Discord・Telegram・WeChat・Slack 等を GPT・Claude・Gemini・DeepSeek・Dify に接続するオープンソース LLM ボットプラットフォーム。
- [各メッセージプラットフォームの機能サポート](https://langbot.app/docs/ja/insight/platform-features.md): 各メッセージングプラットフォームでの LangBot 機能サポートを比較：Discord・Telegram・WeChat・Slack・QQ・Lark・DingTalk 等。
- [トラブルシューティング](https://langbot.app/docs/ja/insight/troubleshooting.md): LangBot のローカルデプロイと実行時によくある問題を、症状・原因・解決方法ごとにまとめます。現在は Docker デプロイの問題を扱います。
- [認証プラグインと共有実行](https://langbot.app/docs/ja/plugin/certified-plugins.md): 認証とは何か、なぜ存在するのか、いつ必要か、そして shared-runtime-v1 / stateless-v1 の規約。
- [システム互換性](https://langbot.app/docs/ja/plugin/compatibility.md)
- [コンテキスト API](https://langbot.app/docs/ja/plugin/dev/apis/agent-run.md)
- [LangBot API](https://langbot.app/docs/ja/plugin/dev/apis/common.md)
- [メッセージプラットフォームエンティティ](https://langbot.app/docs/ja/plugin/dev/apis/messages.md)
- [パイプラインイベントとAPI](https://langbot.app/docs/ja/plugin/dev/apis/pipeline-events.md)
- [プラットフォーム API](https://langbot.app/docs/ja/plugin/dev/apis/platform.md)
- [プラグイン技術詳細](https://langbot.app/docs/ja/plugin/dev/apis/tech-details.md)
- [プラグイン設定情報の完成](https://langbot.app/docs/ja/plugin/dev/basic-info.md)
- [コンポーネントの追加](https://langbot.app/docs/ja/plugin/dev/components/add.md)
- [コンポーネント: Command](https://langbot.app/docs/ja/plugin/dev/components/command.md)
- [コンポーネント: イベントリスナー](https://langbot.app/docs/ja/plugin/dev/components/event-listener.md)
- [コンポーネント: 知識エンジン](https://langbot.app/docs/ja/plugin/dev/components/knowledge-engine.md)
- [コンポーネント: ナレッジリトリーバー](https://langbot.app/docs/ja/plugin/dev/components/knowledge-retriever.md)
- [コンポーネント：ページ](https://langbot.app/docs/ja/plugin/dev/components/page.md)
- [コンポーネント: パーサー](https://langbot.app/docs/ja/plugin/dev/components/parser.md)
- [コンポーネント: Runner](https://langbot.app/docs/ja/plugin/dev/components/runner.md)
- [コンポーネント: Tool](https://langbot.app/docs/ja/plugin/dev/components/tool.md)
- [プラグインディレクトリ構造](https://langbot.app/docs/ja/plugin/dev/directory-structure.md)
- [移行ガイド](https://langbot.app/docs/ja/plugin/dev/migration.md)
- [GitHub経由でプラグインを配布](https://langbot.app/docs/ja/plugin/dev/publish/github.md)
- [プラグインマーケットプレイスに公開](https://langbot.app/docs/ja/plugin/dev/publish/market.md)
- [コードスタイルガイド](https://langbot.app/docs/ja/plugin/dev/style.md)
- [プラグイン開発チュートリアル](https://langbot.app/docs/ja/plugin/dev/tutor.md)
- [LangBotプラグイン](https://langbot.app/docs/ja/plugin/plugin-intro.md)
- [Service API 概要](https://langbot.app/docs/ja/tags/readme.md)
- [Webhook](https://langbot.app/docs/ja/tags/webhook.md)
- [ナレッジベース](https://langbot.app/docs/ja/usage/knowledge/readme.md): LangBot で RAG ナレッジベースを構築。AI ボットにドキュメント検索と根拠ある回答を付与。
- [MCP サーバー](https://langbot.app/docs/ja/usage/mcp/readme.md): MCP（Model Context Protocol）サーバーを LangBot に接続し、外部ツールやデータソースで AI ボットを拡張。
- [モデル (Models)](https://langbot.app/docs/ja/usage/models/readme.md): LangBot で LLM プロバイダを設定：OpenAI GPT・Anthropic Claude・Google Gemini・DeepSeek・Qwen・Ollama・OpenAI 互換モデル。
- [Coze APIの統合](https://langbot.app/docs/ja/usage/pipelines/coze.md): Coze を LangBot と統合。Coze のボットやエージェントを Discord・Telegram・WeChat 等に接続。
- [LangBot で DeerFlow を使用する](https://langbot.app/docs/ja/usage/pipelines/deerflow.md): DeerFlow を LangBot と組み合わせ、AI ボットの会話パイプラインを構築。
- [LangBotでのDifyの使用](https://langbot.app/docs/ja/usage/pipelines/dify.md): Dify を LangBot に接続。Dify アプリやエージェントを Discord・Telegram・WeChat・Slack 等の AI ボットとしてデプロイ。
- [LangBotでのLangflowの使用](https://langbot.app/docs/ja/usage/pipelines/langflow.md): Langflow を LangBot と連携。Langflow のフローを Discord・Telegram・WeChat 等の AI ボットとして展開。
- [LangBotでのn8nの使用](https://langbot.app/docs/ja/usage/pipelines/n8n.md): n8n を LangBot と統合し、メッセージングプラットフォーム横断の AI ボットワークフローと自動化を実現。
- [対話パイプライン (Pipelines)](https://langbot.app/docs/ja/usage/pipelines/readme.md): LangBot のパイプラインは AI オーケストレーション基盤（Dify・Coze・n8n・Langflow）をボットに接続。仕組みを解説。
- [LangBot で WeKnora を使用する](https://langbot.app/docs/ja/usage/pipelines/weknora.md): WeKnora を LangBot と組み合わせ、AI メッセージングボットに知識ベース QA を追加。
- [DingTalk](https://langbot.app/docs/ja/usage/platforms/dingtalk.md): LangBot で DingTalk AI ボットを構築。GPT・Claude・Dify 等を DingTalk のグループや会話に接続。
- [Discord](https://langbot.app/docs/ja/usage/platforms/discord.md): LangBot で Discord AI ボットを構築。GPT・Claude・Gemini・DeepSeek・Dify を数分で Discord サーバーに接続。
- [HTTP ボット](https://langbot.app/docs/ja/usage/platforms/http-bot.md): 任意のバックエンドを HTTP で LangBot に接続：署名付き Webhook でメッセージを送信し、コールバック URL で返信を受信。サーバー間連携、長時間接続不要。
- [KOOK](https://langbot.app/docs/ja/usage/platforms/kook.md): LangBot で KOOK AI ボットを構築。大規模言語モデルを KOOK（開黒啦）チャンネルに接続。
- [Feishu](https://langbot.app/docs/ja/usage/platforms/lark.md): LangBot で Feishu/Lark AI ボットを構築。GPT・Claude・Dify 等を Feishu のグループやメッセージに接続。
- [LINE](https://langbot.app/docs/ja/usage/platforms/line.md): LangBot で LINE AI ボットを構築。大規模言語モデルを LINE のチャットや公式アカウントに接続。
- [Mattermost](https://langbot.app/docs/ja/usage/platforms/mattermost.md): LangBot に Mattermost ボットを接続し、エージェントやワークフローを数分で Mattermost サーバーに導入します。
- [Lagrange](https://langbot.app/docs/ja/usage/platforms/qq/aiocqhttp/lagrange.md): Lagrange（aiocqhttp）経由で QQ を LangBot に接続。QQ のグループ・個人チャットで AI ボットを運用。
- [LiteLoaderQQNT](https://langbot.app/docs/ja/usage/platforms/qq/aiocqhttp/llonebot.md): LiteLoaderQQNT（LLOneBot）経由で QQ を LangBot に接続。QQ のグループやチャット向け AI ボットを構築。
- [NapCat](https://langbot.app/docs/ja/usage/platforms/qq/aiocqhttp/napcat.md): NapCat（aiocqhttp）経由で QQ を LangBot に接続。QQ のグループ・個人メッセージで AI チャットボットを運用。
- [QQ 公式ボット API（Webhook）](https://langbot.app/docs/ja/usage/platforms/qq/official_webhook.md): QQ 公式ボット API（Webhook）を LangBot に接続し、QQ で準拠した AI ボットを運用。
- [ボット（Bots）](https://langbot.app/docs/ja/usage/platforms/readme.md): LangBot を各メッセージングプラットフォームに接続：Discord・Telegram・Slack・WeChat・QQ・Lark・DingTalk・LINE 等。
- [Lucky Lilla Desktop](https://langbot.app/docs/ja/usage/platforms/satori/llonebot.md): Satori プロトコル（LLOneBot）経由で LangBot を接続し、対応クライアントで AI ボットを運用。
- [Slack](https://langbot.app/docs/ja/usage/platforms/slack.md): LangBot で Slack AI ボットを構築。GPT・Claude・Dify 等を Slack ワークスペースに接続。
- [Telegram](https://langbot.app/docs/ja/usage/platforms/telegram.md): LangBot で Telegram AI ボットを構築。GPT・Claude・Gemini・DeepSeek・Dify を Telegram のチャットやグループに接続。
- [ウェブページボット](https://langbot.app/docs/ja/usage/platforms/webpage.md): Web ページに LangBot AI チャットボットを埋め込み。任意のサイトに LLM チャットウィジェットを追加。
- [個人 WeChat（OpenClaw）](https://langbot.app/docs/ja/usage/platforms/wechat/weixin.md): LangBot で個人 WeChat AI ボットを構築。大規模言語モデルを WeChat アカウントに接続。
- [WeCom](https://langbot.app/docs/ja/usage/platforms/wecom/wecom.md): WeCom（企業微信）を LangBot に接続。企業向けメッセージングに LLM AI ボットをデプロイ。
- [WeCom インテリジェントボット](https://langbot.app/docs/ja/usage/platforms/wecom/wecombot.md): LangBot で WeCom（企業微信）AI ボットを構築し、組織に LLM チャットを導入。
- [企業微信カスタマーサービス](https://langbot.app/docs/ja/usage/platforms/wecom/wecomcs.md): LangBot で WeCom カスタマーサービスを設定し、AI 主導のサポート会話を実現。
- [WeChat Official Account](https://langbot.app/docs/ja/usage/platforms/wxoa.md): LangBot で WeChat 公式アカウント AI ボットを構築。LLM を WeChat 公衆号に接続。
- [サンドボックス設定](https://langbot.app/docs/ja/usage/sandbox/config.md): LangBot Box Runtime を設定し、Docker・nsjail・E2B、または明示的に有効化する非隔離 Host バックエンドを選択。
- [サンドボックス (Sandbox)](https://langbot.app/docs/ja/usage/sandbox/readme.md): LangBot Box Runtime は組み込み Agent にコマンド・ファイルツールを提供し、サンドボックスまたは信頼済み Host バックエンドを選択可能。
- [ランタイムと拡張機能の関係](https://langbot.app/docs/ja/usage/sandbox/runtime-relationships.md): LangBot のランタイムと拡張を理解：Box Runtime・サンドボックスバックエンド・MCP サーバーの関係。
- [スキル (Skills)](https://langbot.app/docs/ja/usage/skills/readme.md): LangBot の Skills を活用し、専門知識を必要に応じて読み込み。コンテキストを圧迫せず AI Agent を拡張。
- [302 AIとのモデル統合](https://langbot.app/docs/ja/workshop/302ai-integration.md)
- [メッセージプラットフォームアダプターの実装](https://langbot.app/docs/ja/workshop/impl-platform-adapter.md)
- [MCPエコシステムの詳細](https://langbot.app/docs/ja/workshop/mcp-details.md)
- [ネットワーク設定の詳細](https://langbot.app/docs/ja/workshop/network-details.md)
- [LangBotとNew APIの統合](https://langbot.app/docs/ja/workshop/newapi-integration.md)
- [PPIO Cloud APIとのモデル統合](https://langbot.app/docs/ja/workshop/ppio-integration.md)
- [HTTPリバースプロキシの設定またはゲートウェイ経由でのLangBotへのアクセス](https://langbot.app/docs/ja/workshop/production/proxy-and-ssl.md)