* docs(platforms): add HTTP Bot adapter tutorial (zh/en/ja)
Server-to-server HTTP integration guide for the new http_bot platform
adapter: signed inbound webhook, signed outbound callbacks, N->1 aggregation,
1->M multi-reply, session reset, sync convenience mode, error codes, and a
5-minute reference-client demo. Registered in docs.json nav for all three
locales; adds the platform icon.
* docs(http-bot): link the interactive playground in all locales
Add a section pointing at examples/http-bot/playground.py (browser debug
console: sign -> POST -> 202 -> live callbacks) ahead of the CLI reference
clients, in zh/en/ja.
* style(platforms): use </> code icon for http-bot logo
External MCP server connection now offers two modes (local stdio /
remote) instead of three. Remote only needs a URL and the runtime
auto-detects the transport; legacy http/sse entries are auto-normalized
to remote. Updated zh/en/ja usage/mcp pages. Does not touch LangBot's
own /mcp agent-facing server docs.
* docs: add sandbox documentation for all languages
Add comprehensive documentation for the code sandbox feature:
- Overview, built-in tools, scope and lifecycle
- Backend configuration (Docker/Nsjail/E2B)
- Security profiles (default/offline_readonly/network_basic/network_extended)
- Complete configuration reference
Languages: zh, en, ja
* docs: add skills documentation for all languages
Add comprehensive Skills system documentation covering:
- Design philosophy and industry practices comparison (Claude Code, OpenAI GPTs, Cursor)
- Layered architecture (management, import, execution layers)
- Current activation mechanism ([ACTIVATE_SKILL:] marker) with TODO for future Tool Call optimization
- Agent Skills open standard compliance with field specifications
- Complete tools API reference
Languages: zh, en, ja
Co-Authored-By: Claude Opus 4.7 <[email protected]>
* docs: update sandbox documentation to include new tools and configuration options
* Refactor Skills API documentation to align with Tool Call mechanism
- Updated the overview of the Skills system to emphasize the Tool Call mechanism for activating and registering skills.
- Removed deprecated tools and consolidated functionality into `activate` and `register_skill`.
- Revised usage examples and parameters for the new tools, ensuring clarity on their requirements and expected responses.
- Enhanced descriptions of the activation process, including the injection of skill instructions and mounting of skill packages.
- Improved error handling documentation for better user guidance.
- Added notes on sandbox requirements for tool usage and the creation of new skills.
* docs: align sandbox runtime guides
* docs: align sandbox & skills guides with current Box implementation
Correct five inaccuracies across the zh/en/ja sandbox and skills docs so
they match the actual code:
- Box launch command: use the lbp CLI subcommand
(`langbot_plugin.cli.__init__ box`) instead of the removed
`langbot_plugin.box --mode ws`.
- Environment variables: replace the obsolete `LANGBOT_BOX_LOCAL_*`
vars with the unified `SECTION__SUBSECTION__KEY` override convention
(`BOX__LOCAL__*`); note that the langbot_box service reads no
config.yaml/env and is configured by LangBot over INIT RPC.
- Skills: drop the stale "falls back to data/skills" claims — the Box
Runtime is the sole source of skills; when Box is unavailable the
skill list is simply empty.
- Document the new `box.enabled` master switch (default true) and what
it gates.
- Document that the langbot_box compose service is optional, gated
behind the `box`/`all` compose profile.
* docs: align sandbox docs with implementation
* docs: simplify sandbox naming and diagrams
* docs: shorten AI capability nav labels
* docs: merge sandbox configuration pages
* docs: document BOX__BACKEND as sole backend selector
* docs: recommend all profile for docker deploy
* docs: add docker permission fix for sandbox
* chore(skills): add obra/superpowers writing-skills
Install the writing-skills skill from obra/superpowers via
`npx skills add`. Lands the skill files under .agents/skills/
(universal layout) with a Claude Code symlink at .claude/skills/
and the pin in skills-lock.json.
Also gitignore .claude/settings.local.json since it's per-user
Claude Code state (skill symlinks under .claude/skills/ remain
tracked).
* docs(sandbox,skills): tighten user guides for onboarding
Rewrite the sandbox and skills user guides to be shorter, plainer, and
focused on getting users productive instead of explaining internals.
Changes per page (zh/en/ja kept in lockstep):
- sandbox/readme: 170 → 73 lines. Drop the "what is a sandbox" essay,
decorative mermaid, and the backend table that already lives in
config.mdx. Lead with the six built-in tools and the scope picker
(the parts users actually configure).
- sandbox/runtime-relationships: 75 → 54 lines. Replace the runtime
prose with a single comparison table; tighten the troubleshooting
entry-points.
- skills/readme: 320 → 114 lines. Cut the "design philosophy" /
"industry comparison" / "KV cache theory" sections — those are
implementation details users don't need to ship. Lead with the
user-visible flow (Agent reads <available_skills> → calls activate →
follows the SKILL.md).
- skills/skill-format: 360 → 134 lines. One excellent example
(api-tester) instead of three overlapping ones. Drop the standalone
"field details" subsections that just restate the table.
- skills/tools-api: 200 → 122 lines. Drop the old-vs-new historical
comparison and the duplicated activation section; keep the two tool
signatures, parameters, returns and errors.
sandbox/config.mdx left untouched (already condensed upstream).
Principles applied come from obra/superpowers writing-skills (installed
in 08c35a4): lead with use, one excellent example, tables for scanning,
cut internals and history.
* docs(sandbox): drop redundant 'how to choose' table from runtime-relationships
The 对照表 above already has a '何时使用 / When to use' column that says
the same thing. Repeating it as a second 怎么选 / How to Choose table
was pure noise.
* docs(skills): collapse to one page, link out for SKILL.md spec
Delete skill-format.mdx and tools-api.mdx — Skills now has a single
page. The format details and tools reference were already covered in
shorter form inside readme.mdx; the separate pages were repetition.
In readme.mdx:
- Inline a compact 'SKILL.md format' section (one example + a three-
field table) and point at agentskills.io for the canonical spec.
- Drop the 'next steps' section and the tools-api link, since both
destinations no longer exist.
docs.json: remove the two pages from each locale's Skills nav. Add
redirects from the old paths to readme so existing links don't 404.
* docs(nav): flatten Skills — single page, no group wrapper
Group with one child is just visual noise in the sidebar. Replace
{ group: Skills, pages: [...readme] } with the readme path directly
in the parent AI Configuration group, in all three locales.
* docs(mcp,skills): lead with LangBot Space as the preferred install path
LangBot Space (https://space.langbot.app) now hosts a curated list of
MCP servers and Skills. Surface that as the first install option in
both user guides.
- usage/mcp/readme: rework the intro Info block to recommend LangBot
Space first (third-party channels demoted to "alternative source").
Add a "Install from LangBot Space (Preferred)" section above the
existing manual flow; rename that flow to "Add MCP Server Manually".
- usage/skills/readme: add a "Install from LangBot Space (Preferred)"
section above "Creating a Skill"; rename the existing section to
"Creating a Custom Skill" so the contrast is clear.
zh/en/ja kept in sync.
* docs(skills): reorganize the readme around the user journey
The old structure interleaved "what it is" → "how it works internally"
→ "prerequisites" → "format spec" → install options. Reorder around
how users actually approach the page:
Intro → compare with plugins/MCP → install → enable → write → debug
Specific moves:
- Drop the standalone "Workflow" flow diagram; fold the one important
point (activation pulls SKILL.md via Tool Result) into the intro.
- Merge the standalone "Prerequisites" section into a short Note on the
Install heading — that's where the constraint actually applies.
- Bring "Install from LangBot Space" and "Create your own" together
under one "Install" H2 with H3 subsections; they were sibling H2s
before, which buried the relationship.
- Move "Writing a SKILL.md" after install + enable, since most users
start with marketplace skills.
- Demote the "Tools the Agent sees" table to an H3 inside the writing
section — it's reference, not a top-level concern.
114 → 100 lines, zh/en/ja in lockstep.
* docs(mcp,models): reorder MCP page + move tool-use capability to Models
Two related changes, same as the Skills cleanup pattern:
usage/mcp/readme — reorganize around the user journey
- Drop the standalone "Enable function calling on the model" section;
that belongs in the Models doc (it's not MCP-specific — sandbox tools
and Skills depend on the same model capability).
- Drop the redundant "Effect" section — its one fact (built-in Agent +
tool-use model) already lives in the Note under "Three Transport
Modes".
- Group install paths under one "Installing an MCP Server" H2 with
Space (preferred) and manual flows as H3 siblings, mirroring the
Skills doc layout.
- Move the stdio MCP technical block under a clearly-labeled
"Advanced: stdio MCP" H2 so casual readers skim past it.
- Trim screenshot duplication and collapse three steps in the manual
flow into one paragraph + one screenshot per step.
- 140 → 107 lines, zh/en/ja kept in lockstep.
usage/models/readme — rename and expand "function calling" → "tool use"
- The checkbox is renamed to "Tool Use" (zh: 工具使用能力 / ja: ツール
使用); function calling kept in parentheses for recognition.
- Expand the bullet into a Note that explicitly lists where the
capability matters: MCP servers, sandbox built-ins (exec/read/write/
edit/glob/grep), Skills. Without it, even bound extensions stay
silent.
- Note that the underlying model must actually support function
calling for the checkbox to take effect.
* docs(sandbox): point sandbox/config readers to System Environment Settings
The page lists box.* YAML blocks without ever telling the reader where
those settings actually go. Add a one-line Note at the top linking to
deploy/settings (System Environment Settings), where the data/config.yaml
location and load mechanism are documented.
* docs(sandbox/config): align the page with the real config structure
The previous version listed local / docker / nsjail / e2b as four
parallel "backends" in one flat table. That's wrong: looking at the
config template and the SDK's _select_backend, the real model is:
- box.backend accepts 'local' | 'docker' | 'nsjail' | 'e2b'
- 'local' is shorthand for "auto-pick from Docker / Nsjail" — not a
fourth backend
- 'local', 'docker', 'nsjail' all *share* the box.local.* config
section; the section is misleadingly named ("local" here means
"host-local backends", not "for backend: 'local'")
- 'e2b' uses box.e2b.* instead
- 'local' is the only value that auto-falls-back; everything else is a
hard selection
Rewrite the page around that structure:
- Group backends as "local containers" vs "cloud" with the four values
inside, and call out the local-vs-fourth-backend distinction.
- Split the old single "common settings" table into two clearly-scoped
tables: box.local.* (for local backends) and box.e2b.* (for cloud).
- Move box.runtime.endpoint into the Docker Compose section, where it
actually matters.
- Add an explicit note that backend is a hard selection — only 'local'
fans out.
zh/en/ja kept in lockstep.
* docs(deploy): note Box control-plane transport differs by deploy method
In Docker deployments the Box control plane runs as the langbot_box
container (WebSocket); manual / uvx deployments use a stdio subprocess.
Also clarify the LangBot image bundles the docker client so langbot_box
can create sandbox containers via the mounted socket without extra setup.
zh / en / ja.
---------
Co-authored-by: Claude Opus 4.7 <[email protected]>
Co-authored-by: Junyan Qin <[email protected]>
- Implemented one-click setup instructions for DingTalk, Lark, WeCom, and WeChat, enhancing user experience by automating credential input.
- Added new images for the setup processes, including success screens and QR code scanning steps.
- Created a new webpage bot documentation, detailing the embedding process and configuration options.
- Updated existing documentation for better clarity and structure, including manual setup instructions and configuration details.
- Add rerank model section to zh/en model configuration pages
with supported providers table and Bailian extra_args guide
- Update zh/en features pages with Cohere/Jina/Voyage providers
and RAG rerank support
- Add optional rerank configuration section to zh/en knowledge
base pages
Localized Cloud promotion tips for English and Japanese versions.
EN tips emphasize Slack, LINE, WeCom (internationally relevant).
JA tips emphasize LINE and Lark (Japan-relevant platforms).
* docs: update wiki for RAG engine plugin architecture
Replace KnowledgeRetriever component docs with RAGEngine across all
three languages (zh/en/ja). Key changes:
- Add new rag-engine.mdx component docs covering RAGEngine base class,
creation_schema/retrieval_schema, capability declarations, lifecycle
hooks, host RAG APIs, and complete code examples
- Update knowledge base usage docs to reflect unified KB model (remove
internal/external distinction, add RAG engine selection flow)
- Update component list (add.mdx) and plugin intro to reference RAGEngine
- Add RAG API section to plugin common APIs (invoke_embedding,
vector_upsert/search/delete, get_rag_file_stream)
- Update docs.json navigation to point to rag-engine pages
Companion to LangBot PR #1995 and SDK PR #34.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
* fix: sync with sdk
* docs: update vector API docs with metadata filters, search_type, and documents support
- Replace Warning tags about unimplemented filters with Info tags documenting
canonical filter format (Chroma-style where syntax) and supported operators
- Document search_type/query_text params for full-text and hybrid search
- Document documents param for vector_upsert
- Update RetrievalContext.filters description from reserved to active
- Add filter usage examples (en/zh/ja)
Co-Authored-By: Claude Opus 4.6 <[email protected]>
* docs: enhance RAG Engine documentation across multiple languages
- Expanded the description of the RAG Engine component to include bridging capabilities with advanced knowledge base services like Dify, RAGFlow, and FastGPT.
- Clarified the `DOC_INGESTION` capability description, specifying conditions under which the declaration can be omitted.
- Updated documentation in English, Japanese, and Chinese to ensure consistency and clarity.
* docs: add instructions for show_if conditional rendering
* docs: add Parser component documentation (zh/en/ja)
Add Parser as a new component type in plugin docs. Parser extracts
structured text from binary files (PDF, Word, etc.) before RAG engine
ingestion. Includes manifest format, parse method API, data models
(ParseContext/ParseResult/TextSection), RAGEngine integration via
parsed_content, and cross-plugin invoke_parser API.
Also add DOC_PARSING capability to RAG engine docs and parsed_content
field to IngestionContext.
Companion to SDK PR langbot-app/langbot-plugin-sdk#37 and
LangBot PR langbot-app/LangBot#2000.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
* docs: rename RAGEngine components to KnowledgeEngine
* refactor: change rag engine to knowledge engine
---------
Co-authored-by: Claude Opus 4.6 <[email protected]>
Co-authored-by: Junyan Qin <[email protected]>
* 重构文档结构：移除 docs 目录，调整文件组织结构
* Reorder "插件 SDK API" section in docs.json
* Refactor and clarify various documentation sections
* Refine warnings and info boxes across multiple docs
* Refactor and simplify Japanese documentation content
* Update package.json to include mintlify as a dependency and add pnpm-lock.yaml for dependency management
* Update blog link and add description in docs.json
---------
Co-authored-by: Junyan Chin <[email protected]>
Hyu