chore(release): bump version to 4.10.6 (#2343)

Co-authored-by: dadachann <dadachann@users.noreply.github.com>

AGENTS.md

@@ -1,160 +1,105 @@
 # AGENTS.md
 
-This file guides code agents (Claude Code, GitHub Copilot, OpenAI Codex, etc.) working in the LangBot project. `CLAUDE.md` is a symlink to this file.
+This file guides code agents working in the LangBot main repository. `CLAUDE.md` is a symlink to this file.
 
-## Project Overview
+Read `ARCHITECTURE.md` before non-trivial backend, frontend, runtime, plugin, Box, MCP, persistence, or cross-repo SDK changes. This file is the working checklist; `ARCHITECTURE.md` is the system map.
 
-LangBot is an open-source, LLM-native instant-messaging bot development platform. It aims to provide an out-of-the-box IM bot development experience with Agent, RAG, MCP and other LLM application capabilities, supporting mainstream global IM platforms and exposing rich APIs for custom development.
+## Quick Facts
 
-LangBot has a comprehensive web frontend — almost every operation can be performed through it.
+- Python backend: `>=3.11,<4.0`, dependencies managed by `uv`.
+- Frontend: `web/` is Vite + React Router 7 + shadcn/ui + Tailwind, managed by `pnpm`.
+- Backend framework: Quart served by Hypercorn on `api.port`, default `5300`.
+- Frontend dev server: `web/` on `3000`, with `VITE_API_BASE_URL` pointing at the backend.
+- Plugin/Box/runtime contracts live in sibling repo `langbot-plugin-sdk`, pinned as `langbot-plugin` in `pyproject.toml`.
 
-- **Python**: `>=3.11,<4.0`, dependencies managed by `uv`. Package version is in `pyproject.toml`.
+## Essential Commands
-- **Frontend**: `web/` is a **Vite + React Router 7 + shadcn/ui + Tailwind CSS** SPA, managed by `pnpm`. (Note: this is NOT Next.js — the `dev` script is `vite`.)
-- **Backend framework**: Quart (the async flavour of Flask). The HTTP API and the pre-built web UI are both served by the backend on `http://127.0.0.1:5300`.
-
-## Repository Layout
-
-```
-LangBot/
-├── main.py                     # Entrypoint shim -> langbot.__main__.main()
-├── pyproject.toml              # Python project + deps (uv), pins langbot-plugin==<x.y.z>
-├── src/langbot/
-│   ├── __main__.py             # Real entrypoint, CLI args (--standalone-runtime, --standalone-box, --debug)
-│   ├── pkg/                    # Core backend package
-│   │   ├── api/                # HTTP API controllers + services (Quart)
-│   │   ├── core/               # App bootstrap, stages, task manager
-│   │   ├── platform/           # IM platform adapters, bot managers, session managers
-│   │   ├── provider/           # LLM providers, requesters, tool providers
-│   │   ├── pipeline/           # Pipelines, stages, query pool
-│   │   ├── plugin/             # Bridge connecting LangBot to the plugin runtime (see below)
-│   │   ├── box/                # Code-sandbox subsystem (Docker / nsjail / E2B backends)
-│   │   ├── skill/              # Skill subsystem
-│   │   ├── rag/ , vector/      # RAG + vector store
-│   │   ├── command/            # Built-in commands
-│   │   ├── persistence/        # ORM models + Alembic migrations (SQLite & PostgreSQL)
-│   │   ├── storage/            # Object/file storage abstractions
-│   │   ├── config/, entity/, discover/, utils/, telemetry/, survey/
-│   ├── libs/                   # Vendored SDKs (qq_official_api, wecom_api, etc.)
-│   └── templates/              # Config/component templates (e.g. templates/config.yaml)
-├── web/                        # Frontend SPA (Vite + React Router 7 + shadcn + Tailwind)
-└── docker/                     # docker-compose deployment files
-```
-
-## Development Environment Setup
-
-Full guide lives in the wiki: **["开发配置" / Dev Config](https://docs.langbot.app/zh/develop/dev-config)**. Summary:
-
-### Backend
-
-```bash
-pip install uv
-uv sync --dev          # uv creates a .venv/ for you; point your editor's interpreter at it
-uv run main.py         # serves API + web UI on http://127.0.0.1:5300
-```
-
-On first run the config file is generated at `data/config.yaml`. DB is SQLite by default (zero setup); PostgreSQL is supported. Migrations run automatically on startup.
-
-### Frontend
-
-Requires Node.js + [pnpm](https://pnpm.io/installation).
-
-```bash
-cd web
-cp .env.example .env   # Windows: copy .env.example .env
-pnpm install
-pnpm dev               # http://127.0.0.1:3000  (npm install / npm run dev also work)
-```
-
-`pnpm dev` reads `VITE_API_BASE_URL` from `web/.env` so the dev frontend can reach the backend on port `5300`. In production the frontend is pre-built into static files served by the backend on the same origin.
-
-### Code formatting
-
-The repo runs lint + format checks in CI. Install the pre-commit hooks so the same checks run locally before each commit:
 
 ```bash
+uv sync --dev
+uv run main.py
 uv run pre-commit install
+
+cd web
+pnpm install
+pnpm dev
+pnpm build
 ```
 
-## Plugin System
+Useful focused tests:
-
-LangBot's plugin system (Plugin SDK, CLI `lbp`, Plugin Runtime, and the shared entity/API definitions) lives in a **separate repository**: [`langbot-plugin-sdk`](https://github.com/langbot-app/langbot-plugin-sdk). LangBot depends on it via the pinned `langbot-plugin` package in `pyproject.toml`.
-
-### Architecture (what to know inside this repo)
-
-- Plugins run as independent processes managed by the **Plugin Runtime**. The Runtime supports two control transports: `stdio` and `websocket`.
-- When LangBot is started directly by a user (not in a container), it spawns and connects to the Runtime over **stdio** (lightweight/personal use).
-- When LangBot runs in a container, it connects to a standalone Runtime over **WebSocket** (production).
-- The bridge code lives in `src/langbot/pkg/plugin/` (`connector.py`, `handler.py`).
-- Relevant config (`data/config.yaml`): `plugin.runtime_ws_url` (e.g. `ws://langbot_plugin_runtime:5400/control/ws`). Start LangBot with `--standalone-runtime` to make it connect to an externally-launched Runtime over WebSocket instead of spawning one over stdio.
-
-### Debugging the Plugin Runtime / CLI / SDK
-
-This is documented in detail in the **SDK repo's `AGENTS.md`** and in the wiki page **["调试插件运行时、CLI、SDK" / Plugin Runtime](https://docs.langbot.app/zh/develop/plugin-runtime)**. The short version:
-
-- Clone `LangBot` and `langbot-plugin-sdk` as siblings under one parent dir so the editor resolves shared entities.
-- Start a standalone Runtime from the SDK repo: `uv run --no-sync lbp rt` (control port `5400`, debug port `5401`).
-- To make LangBot use a locally-modified SDK: from the SDK dir, with LangBot's `.venv` active, run `uv pip install .`, then launch LangBot with `uv run --no-sync main.py --standalone-runtime` (keep `--no-sync` so your local SDK isn't overwritten).
-
-### Debugging the Box (sandbox) runtime
-
-The Box subsystem (`src/langbot/pkg/box/`) is the code sandbox. It picks the first available backend among **Docker / nsjail / E2B**. The standalone Box runtime is launched via the SDK CLI: `lbp box`. Backend selection details, the `lbp box` flags, and the SDK-side architecture are documented in the SDK repo's `AGENTS.md`.
-
-Relevant config (`data/config.yaml`, `box:` section): `box.enabled` (master switch — disabling it also disables the native sandbox tools, skill add/edit, and stdio-mode MCP servers), `box.backend` (`'local'` = Docker/nsjail auto-pick, or `'docker'` / `'nsjail'` / `'e2b'`; also settable via `BOX__BACKEND`), and `box.runtime.endpoint` (external Box runtime base URL, e.g. `ws://127.0.0.1:5410`; empty = local auto-managed runtime). Like the plugin runtime, LangBot can connect to an externally-launched Box runtime by setting that endpoint and starting with `--standalone-box`.
-
-> A common false "No supported sandbox backend (Docker / nsjail / E2B) is available" comes from Docker being installed and running but the current user not being in the `docker` group → `docker info` gets `permission denied` on the socket. Fix: `sudo usermod -aG docker <user>` and restart the backend in a shell that has the new group.
-
-## Development Standards
-
-- LangBot is a global project: **all code comments and docstrings must be in English**, and every user-facing string must support **i18n** (`en_US` + `zh_Hans` at minimum, plus `ja_JP` where the repo already has it).
-- LangBot is adopted in both toC and toB scenarios — always consider compatibility and security.
-- **Commit message format**: `<type>(<scope>): <subject>`
-  - `type`: one of `feat`, `fix`, `docs`, `style`, `refactor`, `perf`, `test`, `chore`, etc.
-  - `scope`: the affected package/module/file/class.
-  - `subject`: concise description of the change.
-
-### Database migrations (Alembic)
-
-LangBot uses [Alembic](https://alembic.sqlalchemy.org/) for migrations, supporting both SQLite and PostgreSQL from a single set of scripts. Migration files live in `src/langbot/pkg/persistence/alembic/versions/`.
-
-If you change ORM model definitions, generate a migration:
 
 ```bash
-# Run from the project root (requires data/config.yaml to exist)
+uv run pytest tests/unit_tests -q
-uv run python -m langbot.pkg.persistence.alembic_runner autogenerate "description of your change"
+uv run pytest tests/integration -q
+uv run pytest tests/integration/persistence -q
+uv run pytest tests/manual/mcp_smoke.py
+
+cd web
+pnpm lint
+pnpm test:e2e
 ```
 
-Review and edit the generated script before committing. Migrations execute automatically on startup. `autogenerate` detects schema changes (add/drop columns, tables, type changes) but **data migrations** (e.g. mutating JSON field contents) must be hand-written into the generated script. `env.py` sets `render_as_batch=True`, so SQLite's ALTER TABLE limits are handled automatically — no need to branch per database. More in the wiki ["开发配置"](https://docs.langbot.app/zh/develop/dev-config#数据库迁移).
+Run the narrowest useful test first, then broader checks when confidence is needed.
 
-When writing a migration, follow these rules:
+## Where to Look
 
-- **Revision id ≤ 32 characters.** PostgreSQL stores `alembic_version.version_num` as `varchar(32)`; a longer id raises `StringDataRightTruncationError` at runtime. Prefer short, descriptive ids like `0005_add_llm_context_length`.
+- Architecture map: `ARCHITECTURE.md`.
-- **Guard every operation against missing tables/columns.** Fresh installs build the schema via `create_all()` and then stamp the Alembic baseline, so a migration may run against a table that already has the change — or, in tests, against an empty database. Check `inspector.get_table_names()` / `inspector.get_columns(...)` before `add_column` / `drop_column`, mirroring the existing migrations.
+- Dev environment guide: https://docs.langbot.app/zh/develop/dev-config.
-- **Keep a single linear head.** Chain `down_revision` to the current head; do not create branches. Run the migration tests after adding one: `uv run pytest tests/integration/persistence/ -q` (the PostgreSQL test needs a running PG via `TEST_POSTGRES_URL`).
+- Plugin runtime / CLI / SDK debugging: https://docs.langbot.app/zh/develop/plugin-runtime.
+- API-key auth: `docs/API_KEY_AUTH.md`.
+- Box deep-dive notes: `docs/review/box-architecture.md` and related files.
+- In-repo skills: `skills/` is the single source of truth for LangBot agent skills.
+- SDK repo: `../langbot-plugin-sdk/` when changing shared entities, plugin APIs, action protocol, `lbp rt`, or `lbp box`.
 
-> **Legacy migration system (deprecated — do not extend).** The old 3.x migration system under `src/langbot/pkg/persistence/migrations/` (`DBMigration` subclasses in `dbmXXX_*.py`, run from `pkg/persistence/mgr.py`) is **frozen**. Do **not** add new `dbmXXX_*.py` files. The chain is capped at `required_database_version = 25` (`pkg/utils/constants.py`); those files only exist to upgrade pre-existing 3.x databases up to the Alembic baseline and are kept read-only. All new schema changes go through Alembic.
+## Cross-Repo SDK Work
 
-## Agent-Facing Surfaces (MCP + Skills)
+When changing SDK contracts used by LangBot:
 
-LangBot is built to be **agent-friendly**. Three surfaces let AI agents work
+```bash
-with LangBot, and they MUST be kept in lockstep with the HTTP API:
+# from langbot-plugin-sdk, with LangBot's .venv active
+uv pip install .
 
-1. **MCP server** — `src/langbot/pkg/api/mcp/` exposes a curated subset of the
+# from LangBot, preserve the locally installed SDK
-   API as MCP tools at `/mcp` (API-key authenticated, including the
+uv run --no-sync main.py
-   `api.global_api_key` from config.yaml). `server.py` defines the tools (they
+```
-   call the service layer directly); `mount.py` is the ASGI dispatcher.
-2. **In-repo skills** — `skills/` is the **single source of truth** for agent
-   skills (plugin/core/deploy/e2e/MCP-ops). Docs and the landing page link here
-   rather than embedding their own copies.
-3. **API-key auth** — `api.global_api_key` (config.yaml) authenticates the API
-   and MCP without a login session; see `docs/API_KEY_AUTH.md`.
 
-> **Maintenance rule (important).** When you add, remove, or change an HTTP API
+For standalone runtime debugging:
-> endpoint that should be agent-accessible, you MUST update **both** the matching
-> MCP tool in `src/langbot/pkg/api/mcp/server.py` **and** the relevant skill under
-> `skills/` (especially `skills/skills/langbot-mcp-ops`). The API, the MCP tool
-> surface, and the skills are one system — drift between them is a bug.
 
-## Some Principles
+```bash
+# in langbot-plugin-sdk
+uv run --no-sync lbp rt
+uv run --no-sync lbp box
+
+# in LangBot
+uv run --no-sync main.py --standalone-runtime
+uv run --no-sync main.py --standalone-box
+```
+
+Config keys to verify in `data/config.yaml` / `src/langbot/templates/config.yaml`:
+
+- Plugin runtime: `plugin.runtime_ws_url`, default Docker host `langbot_plugin_runtime:5400/control/ws`.
+- Box runtime: `box.enabled`, `box.backend`, `box.runtime.endpoint`, Docker host `langbot_box:5410`.
+- API/MCP auth: `api.global_api_key`.
+
+## Change Rules
+
+- HTTP API changes that should be agent-accessible must update the matching MCP tool in `src/langbot/pkg/api/mcp/server.py` and the relevant skill under `skills/` in the same pass.
+- New schema changes use Alembic under `src/langbot/pkg/persistence/alembic/versions/`; do not add legacy `dbmXXX` migrations.
+- New platform behavior belongs in platform adapters only for platform translation; pipeline/business logic belongs in `pkg/pipeline/` or services.
+- User-facing strings must support i18n (`en_US`, `zh_Hans`; include `ja_JP` where the repo already does).
+- Code comments and docstrings must be English.
+- Keep compatibility and security in mind; LangBot is used in both self-hosted/community and toB deployments.
+- Commit message format: `<type>(<scope>): <subject>`.
+
+## Runtime Pitfalls
+
+- Local stdio Plugin Runtime disconnects do not auto-reconnect; restart LangBot if that path breaks.
+- Orphan runtime processes on `5400`/`5401` commonly break plugin debugging.
+- Use `uv run --no-sync` after locally installing the SDK, or `uv` may restore the pinned package.
+- A false Box “no backend” often means Docker is running but the current user lacks Docker socket permission.
+- Do not confuse external MCP servers LangBot connects to (`pkg/provider/tools/loaders/mcp.py`) with LangBot's own `/mcp` server (`pkg/api/mcp/`).
+- `CLAUDE.md` is a symlink to this file; edit `AGENTS.md`, not the symlink.
+
+## Principles
 
 - Keep it simple, stupid.
 - Entities should not be multiplied unnecessarily.

ARCHITECTURE.md

@@ -0,0 +1,250 @@
+# Architecture
+
+This document is a map of LangBot's moving parts. It is intentionally more stable than a feature guide and more concrete than the README: when you need to change behavior, start here, then follow the file references into the code.
+
+For agent-specific working rules, see `AGENTS.md`. For plugin-runtime and Box-runtime implementation details, also read the sibling SDK repo: [`langbot-plugin-sdk`](https://github.com/langbot-app/langbot-plugin-sdk).
+
+## What LangBot Is
+
+LangBot is an open-source platform for building production IM bots backed by LLMs, agents, RAG, plugins, MCP tools, and a web management panel.
+
+At runtime, one LangBot process owns:
+
+- a Quart/Hypercorn HTTP service and the built web UI on `:5300`;
+- messaging-platform adapters such as Discord, Telegram, Slack, WeChat, QQ, WeCom, Lark, DingTalk, KOOK, LINE, Satori, Matrix, and HTTP/WebSocket bots;
+- a pipeline engine that turns inbound platform messages into LLM/tool/plugin work and replies;
+- persistence, storage, vector database, telemetry, monitoring, and configuration managers;
+- bridges to the Plugin Runtime and Box Runtime provided by `langbot-plugin-sdk`;
+- an MCP server at `/mcp` exposing a curated agent-facing subset of the service layer.
+
+## Repository Boundary
+
+LangBot is not a single-repo system.
+
+- `LangBot/` is the main product: backend, web UI, platform adapters, pipeline engine, HTTP API, MCP server, RAG, persistence, skills integration, and the bridge code that talks to runtimes.
+- `langbot-plugin-sdk/` is published as `langbot-plugin` and pinned in `LangBot/pyproject.toml`. It contains plugin developer APIs, shared entities, `lbp`, the Plugin Runtime (`lbp rt`), and the Box Runtime (`lbp box`).
+- Plugins import SDK APIs from `langbot_plugin.*`; the LangBot main process imports the same package for shared entities and runtime protocols.
+
+This split matters. If a change modifies SDK entities, component APIs, action protocols, `lbp rt`, or `lbp box`, verify the sibling SDK repo and install the local SDK into LangBot's virtualenv when testing cross-repo behavior.
+
+## Startup Path
+
+The process entrypoint is small and layered:
+
+1. `main.py` delegates to `langbot.__main__.main()`.
+2. `src/langbot/__main__.py` parses `--standalone-runtime`, `--standalone-box`, and `--debug`, checks dependencies, generates missing config/data files, and calls `pkg.core.boot.main()`.
+3. `pkg/core/boot.py` executes startup stages in order: `LoadConfigStage`, `GenKeysStage`, `SetupLoggerStage`, `BuildAppStage`, `ShowNotesStage`.
+4. `BuildAppStage` constructs the `Application` object by wiring managers, services, runtime connectors, and controllers.
+5. `Application.run()` starts the platform manager, query controller, HTTP controller, telemetry/cleanup loops, and plugin initialization.
+
+The central runtime object is `pkg/core/app.py::Application`. It is a service locator for long-lived managers. That is not elegant, but it is the current architectural center; most subsystems receive `ap: Application` and collaborate through it.
+
+## Top-Level Layout
+
+```text
+LangBot/
+├── main.py                         # Entrypoint shim
+├── pyproject.toml                  # Python package, deps, pinned langbot-plugin
+├── src/langbot/
+│   ├── __main__.py                 # CLI entrypoint and boot handoff
+│   ├── pkg/
+│   │   ├── core/                   # Application, boot stages, task manager
+│   │   ├── api/                    # HTTP API + MCP server mount
+│   │   ├── platform/               # IM adapters and runtime bot manager
+│   │   ├── pipeline/               # Message routing and pipeline stages
+│   │   ├── provider/               # LLM runners, model manager, tools
+│   │   ├── plugin/                 # LangBot-side Plugin Runtime connector/handler
+│   │   ├── box/                    # LangBot-side Box service/connector
+│   │   ├── skill/                  # Skill metadata/activation integration
+│   │   ├── rag/ , vector/          # Knowledge-base and vector DB integration
+│   │   ├── persistence/            # SQLAlchemy/SQLModel, Alembic, legacy migrations
+│   │   ├── storage/                # Local/S3 file storage abstraction
+│   │   └── config/, entity/, utils/, telemetry/, survey/
+│   ├── libs/                       # Vendored third-party platform SDKs
+│   └── templates/                  # Default config and component metadata
+├── web/                            # Vite + React Router + shadcn/ui + Tailwind SPA
+├── docker/                         # Deployment manifests
+├── skills/                         # In-repo agent skills, single source of truth
+└── tests/                          # Unit/integration/e2e/manual tests
+```
+
+## The Runtime Graph
+
+The most useful mental model is this graph:
+
+```text
+Platform adapter
+  → RuntimeBot
+  → MessageAggregator
+  → QueryPool
+  → Controller
+  → RuntimePipeline
+  → PipelineStage chain
+  → RequestRunner / ToolManager / PluginRuntimeConnector / BoxService
+  → response via adapter
+```
+
+The HTTP and MCP surfaces are parallel entrypoints into the same service layer:
+
+```text
+HTTP client / Web UI
+  → Quart route group
+  → api/http/service/*
+  → Application managers / persistence / runtime connectors
+
+MCP client
+  → /mcp mount
+  → api/mcp/server.py tools
+  → the same service layer directly
+```
+
+## Message Flow
+
+Inbound platform messages enter through adapter-specific SDK callbacks. The common path is:
+
+1. A platform adapter under `pkg/platform/sources/` converts platform-specific events into SDK message/event entities.
+2. `RuntimeBot` in `pkg/platform/botmgr.py` applies pipeline routing rules and either discards the message, pushes it to webhooks, or sends it to the message aggregator.
+3. `MessageAggregator` batches/normalizes messages before adding a `Query` to `QueryPool`.
+4. `Controller` in `pkg/pipeline/controller.py` selects queries subject to global pipeline concurrency and per-session concurrency.
+5. `RuntimePipeline` in `pkg/pipeline/pipelinemgr.py` runs configured pipeline stages using a responsibility-chain style executor that supports generator stages.
+6. The chat stage emits plugin events, calls a configured `RequestRunner`, handles streaming/non-streaming responses, records telemetry, and appends conversation history.
+7. Output stages send text, cards, chunks, files, or error notices back through the original platform adapter.
+
+Pipeline components are registered by decorators and package import side effects. When adding a new stage, loader, runner, or adapter, check the corresponding preregistration mechanism instead of inventing a second registry.
+
+## Platform Layer
+
+Platform code lives under `pkg/platform/`.
+
+- `botmgr.py` owns runtime bots, routing rules, event logging, webhook pushing, and adapter lifecycle.
+- `sources/` contains adapter implementations. Each adapter subclasses `langbot_plugin.api.definition.abstract.platform.adapter.AbstractMessagePlatformAdapter` from the SDK.
+- Platform entities such as `MessageChain`, `Image`, `At`, `Voice`, and events come from `langbot-plugin-sdk`, not from this repo.
+
+The platform layer should translate between external platform APIs and LangBot's shared message/event model. It should not contain LLM-provider logic or pipeline business logic.
+
+## Pipeline Layer
+
+Pipeline code lives under `pkg/pipeline/`.
+
+Important pieces:
+
+- `pool.py::QueryPool` stores pending queries and cached in-flight queries for plugin backward-compatible calls.
+- `controller.py::Controller` schedules query processing and enforces concurrency.
+- `pipelinemgr.py::RuntimePipeline` materializes database pipeline config into a runtime stage chain.
+- `process/handlers/chat.py::ChatMessageHandler` is the main LLM conversation handler.
+- Stage families include response rules, banned sessions, content filters, preprocessors, rate limits, message truncation, long text handling, response-back, command handling, and wrappers.
+
+Pipelines are configuration-driven. Prefer adding a stage or extending an existing stage family over hard-coding behavior in platform adapters.
+
+## Provider, RAG, and Tools
+
+Provider code lives under `pkg/provider/`.
+
+- `modelmgr/` manages configured model providers and requesters.
+- `runners/` implements request runners such as the local agent runner and external workflow integrations.
+- `tools/toolmgr.py` aggregates tools from native tools, plugin tools, external MCP servers, and skill-authoring tools.
+- `tools/loaders/mcp.py` is the MCP client side: external MCP servers that LangBot connects to for agent tools.
+- RAG lives across `pkg/rag/`, `pkg/vector/`, model services, and plugin KnowledgeEngine actions.
+
+Do not confuse LangBot's MCP client side with LangBot's own MCP server at `/mcp`; they are different surfaces.
+
+## Plugin System
+
+The plugin system crosses the repo boundary.
+
+In this repo:
+
+- `pkg/plugin/connector.py` connects LangBot to the Plugin Runtime over stdio or WebSocket.
+- `pkg/plugin/handler.py` exposes LangBot actions to the runtime and calls runtime actions for plugin operations.
+- `pkg/provider/tools/loaders/plugin.py` exposes plugin Tool components to LLM runners.
+- Pipeline handlers emit SDK events such as normal-message events and prompt-processing events.
+
+In `langbot-plugin-sdk`:
+
+- `src/langbot_plugin/api/` defines `BasePlugin`, component base classes, message/event entities, contexts, proxies, and manifests.
+- `src/langbot_plugin/runtime/` implements `lbp rt`, plugin discovery, dependency installation, process launching, and control/debug connections.
+- `src/langbot_plugin/entities/io/` defines the action protocol shared by LangBot, runtime, and plugin processes.
+
+The Plugin Runtime supports stdio and WebSocket control transports. Direct local LangBot runs usually spawn the runtime over stdio. Containerized/standalone deployments connect over WebSocket using `plugin.runtime_ws_url` and `--standalone-runtime`.
+
+## Box Runtime and Skills
+
+Box is the sandbox subsystem used by native agent tools, stdio MCP servers, skill authoring, and managed processes.
+
+In this repo:
+
+- `pkg/box/service.py` is the application-facing facade for exec, sessions, managed processes, skill CRUD, status, reconnects, quotas, mounts, and sandbox profiles.
+- `pkg/box/connector.py` connects to the Box Runtime over stdio, Windows subprocess+WebSocket, or remote WebSocket.
+- `pkg/provider/tools/loaders/native.py`, `mcp_stdio.py`, and skill loaders depend on Box availability.
+- `pkg/skill/manager.py` loads skills from the Box runtime, falling back to local `data/skills` when needed.
+
+In `langbot-plugin-sdk`:
+
+- `src/langbot_plugin/box/server.py` implements `lbp box` and the WebSocket endpoints on `:5410`.
+- `src/langbot_plugin/box/runtime.py` owns sandbox sessions and managed processes.
+- `backend.py`, `nsjail_backend.py`, and `e2b_backend.py` implement sandbox backends.
+- `skill_store.py` manages skill packages from the Box side.
+
+Important config keys live under `box:` in `src/langbot/templates/config.yaml`: `box.enabled`, `box.backend`, `box.runtime.endpoint`, and `box.local.*`. Start LangBot with `--standalone-box` when connecting to an externally launched Box runtime.
+
+## HTTP API, Web UI, and MCP Server
+
+`pkg/api/http/controller/main.py` builds a Quart app, registers route groups, serves the built SPA, and wraps the ASGI app with the MCP dispatcher.
+
+- HTTP route groups live under `pkg/api/http/controller/groups/`.
+- Service-layer logic lives under `pkg/api/http/service/`.
+- The built web UI is served from the frontend build path with SPA fallback.
+- The MCP server lives under `pkg/api/mcp/` and is mounted at `/mcp`.
+
+The MCP server intentionally exposes a curated subset of the API. Tools call service classes directly rather than making HTTP requests back into LangBot.
+
+Maintenance rule: when adding, removing, or changing an HTTP endpoint that should be agent-accessible, update the matching MCP tool and the relevant in-repo skill under `skills/` in the same pass.
+
+## Persistence and Configuration
+
+Persistence is centered on `pkg/persistence/mgr.py`.
+
+- SQLite is the default database; PostgreSQL is supported.
+- Models live under `pkg/entity/persistence/`.
+- Fresh schemas are created from metadata, then legacy migrations run up to the frozen 3.x baseline, then Alembic migrations run to head.
+- New schema changes should use Alembic under `pkg/persistence/alembic/versions/`; do not extend the frozen legacy migration chain.
+
+Configuration starts from `src/langbot/templates/config.yaml` and is generated into `data/config.yaml` on first run. Most long-lived managers read from `ap.instance_config.data`.
+
+## Frontend
+
+The frontend lives in `web/` and is a Vite SPA using React Router 7, shadcn/ui, Tailwind CSS, and pnpm. It is not Next.js, despite some historical filenames.
+
+In development, `pnpm dev` serves the UI on `:3000` and reads `VITE_API_BASE_URL` to call the backend on `:5300`. In production, the built frontend is packaged into the Python distribution and served by the backend.
+
+Keep frontend API behavior aligned with `pkg/api/http/service/` and route groups. User-facing strings must go through the existing i18n setup.
+
+## Agent-Facing Surfaces
+
+LangBot is deliberately agent-friendly. The agent-facing surfaces are part of the architecture, not extra docs.
+
+- `skills/` is the single source of truth for in-repo skills.
+- `pkg/api/mcp/server.py` exposes the LangBot MCP server at `/mcp`.
+- `api.global_api_key` authenticates API/MCP access without a browser login.
+- `AGENTS.md` and `ARCHITECTURE.md` tell coding agents how the repo works.
+
+When one of these changes, update the others if the behavior or contract changed. API, MCP tools, and skills are one system; drift is a bug.
+
+## Where to Change Things
+
+- New HTTP API: add/adjust a service in `pkg/api/http/service/`, a route group in `pkg/api/http/controller/groups/`, tests, and MCP/skills if agent-accessible.
+- New platform adapter: add a `pkg/platform/sources/*` adapter, component metadata/templates as needed, i18n, docs, and tests/smoke coverage.
+- New pipeline behavior: add or extend a pipeline stage family under `pkg/pipeline/`; avoid putting pipeline rules in adapters.
+- New LLM provider/requester: work under `pkg/provider/modelmgr/` and related service/UI surfaces.
+- New LLM tool source: extend `pkg/provider/tools/loaders/` and `ToolManager` intentionally.
+- New plugin component/API/protocol: change `langbot-plugin-sdk` first or in lockstep, then update LangBot bridge code.
+- New Box capability: change both `pkg/box/` and `langbot-plugin-sdk/src/langbot_plugin/box/`, plus config and tests.
+- New database schema: add an Alembic migration, not a legacy `dbmXXX` migration.
+
+## Design Biases
+
+- Keep platform translation, pipeline orchestration, provider execution, and runtime protocols separate.
+- Reuse existing registries and service layers instead of adding parallel paths.
+- Prefer small, explicit agent surfaces over exposing every internal API.
+- Treat cross-repo contracts with the SDK as public interfaces.
+- Test behavior at the narrowest useful layer first, then add integration/e2e coverage for runtime or platform changes.

README.md

@@ -5,7 +5,7 @@
 
 <div align="center">
 
-<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+<a href="https://www.producthunt.com/products/langbot/launches/langbot?embed=true&amp;utm_source=badge-featured&amp;utm_medium=badge&amp;utm_campaign=badge-langbot" target="_blank" rel="noopener noreferrer"><img alt="LangBot - Easy-to-use global IM bot platform designed for the LLM era | Product Hunt" width="250" height="54" src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=979554&amp;theme=light&amp;t=1782822143403"></a>
 
 <h3>Production-grade platform for building agentic IM bots.</h3>
 <h4>Quickly build, debug, and ship AI bots to Slack, Discord, Telegram, WeChat, and more.</h4>
@@ -51,7 +51,7 @@ LangBot is an **open-source, production-grade platform** for building AI-powered
 
 [→ Learn more about all features](https://link.langbot.app/en/docs/features)
 
-📍 Practical guides: [deploy a multi-platform AI bot in 5 minutes](https://blog.langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [connect DeepSeek to WeChat, Discord, and Telegram](https://blog.langbot.app/en/blog/connect-deepseek-to-wechat/), [run a Dify Agent in Discord, Telegram, and Slack](https://blog.langbot.app/en/blog/dify-agent-discord-telegram-slack/), and [build an n8n-powered chatbot](https://blog.langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).
+📍 Practical guides: [deploy a multi-platform AI bot in 5 minutes](https://langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [connect DeepSeek to WeChat, Discord, and Telegram](https://langbot.app/en/blog/connect-deepseek-to-wechat/), [run a Dify Agent in Discord, Telegram, and Slack](https://langbot.app/en/blog/dify-agent-discord-telegram-slack/), and [build an n8n-powered chatbot](https://langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).
 
 ---
 
@@ -92,6 +92,17 @@ docker compose --profile all up -d
 
 ---
 
+## Live Demo
+
+**Try it now:** https://demo.langbot.dev/
+
+- Email: `demo@langbot.app`
+- Password: `langbot123456`
+
+_Note: Public demo environment. Do not enter sensitive information._
+
+---
+
 ## Supported Platforms
 
 | Platform | Status | Notes |
@@ -136,7 +147,7 @@ docker compose --profile all up -d
 | [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot)                             | GPU Platform | ✅     |
 | [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758)                                                    | GPU Platform | ✅     |
 | [接口 AI](https://jiekou.ai/)                                                                                     | Gateway      | ✅     |
-| [302.AI](https://share.302.ai/SuTG99)                                                                             | Gateway      | ✅     |
+| [302.AI](https://share.302ai.cn/SuTG99)                                                                             | Gateway      | ✅     |
 | [Qiniu](https://www.qiniu.com/ai/agent)                                                                           | Gateway      | ✅     |
 
 [→ View all integrations](https://link.langbot.app/en/docs/features)
@@ -167,17 +178,6 @@ LangBot is **agent-friendly by design** — your coding agents (Claude Code, Cod
 
 ---
 
-## Live Demo
-
-**Try it now:** https://demo.langbot.dev/
-
-- Email: `demo@langbot.app`
-- Password: `langbot123456`
-
-_Note: Public demo environment. Do not enter sensitive information._
-
----
-
 ## Community
 
 [![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&label=Discord)](https://discord.gg/wdNEHETs87)
@@ -186,12 +186,6 @@ _Note: Public demo environment. Do not enter sensitive information._
 
 ---
 
-## Star History
-
-[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
-
----
-
 ## Contributors
 
 Thanks to all [contributors](https://github.com/langbot-app/LangBot/graphs/contributors) who have helped make LangBot better:

README_CN.md

@@ -51,7 +51,7 @@ LangBot 是一个**开源的生产级平台**，用于构建 AI 驱动的即时
 
 [→ 了解更多功能特性](https://link.langbot.app/zh/docs/features)
 
-📍 实践指南：[5 分钟部署多平台 AI 机器人](https://blog.langbot.app/zh/blog/deploy-ai-bot-in-5-minutes/)、[将 DeepSeek 接入微信、企业微信与 Discord](https://blog.langbot.app/zh/blog/connect-deepseek-to-wechat/)、[让 Dify Agent 跑在 Discord、Telegram 和 Slack 上](https://blog.langbot.app/zh/blog/dify-agent-discord-telegram-slack/)，以及[用 n8n 构建多平台 AI 聊天机器人](https://blog.langbot.app/zh/blog/n8n-multi-platform-ai-chatbot/)。
+📍 实践指南：[5 分钟部署多平台 AI 机器人](https://langbot.app/zh/blog/deploy-ai-bot-in-5-minutes/)、[将 DeepSeek 接入微信、企业微信与 Discord](https://langbot.app/zh/blog/connect-deepseek-to-wechat/)、[让 Dify Agent 跑在 Discord、Telegram 和 Slack 上](https://langbot.app/zh/blog/dify-agent-discord-telegram-slack/)，以及[用 n8n 构建多平台 AI 聊天机器人](https://langbot.app/zh/blog/n8n-multi-platform-ai-chatbot/)。
 
 ---
 
@@ -92,6 +92,16 @@ docker compose --profile all up -d
 
 ---
 
+## 在线演示
+
+**立即体验：** https://demo.langbot.dev/
+- 邮箱：`demo@langbot.app`
+- 密码：`langbot123456`
+
+*注意：公开演示环境，请不要在其中填入任何敏感信息。*
+
+---
+
 ## 支持的平台
 
 | 平台 | 状态 | 备注 |
@@ -136,7 +146,7 @@ docker compose --profile all up -d
 | [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | GPU 平台 | ✅ |
 | [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPU 平台 | ✅ |
 | [接口 AI](https://jiekou.ai/) | 聚合平台 | ✅ |
-| [302.AI](https://share.302.ai/SuTG99) | 聚合平台 | ✅ |
+| [302.AI](https://share.302ai.cn/SuTG99) | 聚合平台 | ✅ |
 | [小马算力](https://www.tokenpony.cn/453z1) | 聚合平台 | ✅ |
 | [百宝箱Tbox](https://www.tbox.cn/open) | 智能体平台 | ✅ |
 | [七牛云Qiniu](https://www.qiniu.com/ai/agent) | 聚合平台 | ✅ |
@@ -170,16 +180,6 @@ docker compose --profile all up -d
 
 ---
 
-## 在线演示
-
-**立即体验：** https://demo.langbot.dev/
-- 邮箱：`demo@langbot.app`
-- 密码：`langbot123456`
-
-*注意：公开演示环境，请不要在其中填入任何敏感信息。*
-
----
-
 ## 为 AI Agent 而生 🤖
 
 LangBot **从设计上就对 Agent 友好** —— 你的编码 Agent（Claude Code、Codex、Copilot、Cursor 等）可以一等公民般地操作、扩展和部署 LangBot：
@@ -203,12 +203,6 @@ LangBot **从设计上就对 Agent 友好** —— 你的编码 Agent（Claude C
 
 ---
 
-## Star 趋势
-
-[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
-
----
-
 ## 贡献者
 
 感谢所有[贡献者](https://github.com/langbot-app/LangBot/graphs/contributors)对 LangBot 的帮助：

README_ES.md

@@ -5,7 +5,7 @@
 
 <div align="center">
 
-<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+<a href="https://www.producthunt.com/products/langbot/launches/langbot?embed=true&amp;utm_source=badge-featured&amp;utm_medium=badge&amp;utm_campaign=badge-langbot" target="_blank" rel="noopener noreferrer"><img alt="LangBot - Easy-to-use global IM bot platform designed for the LLM era | Product Hunt" width="250" height="54" src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=979554&amp;theme=light&amp;t=1782822143403"></a>
 
 <h3>Plataforma de grado de producción para construir bots de mensajería instantánea con agentes de IA.</h3>
 <h4>Construya, depure y despliegue bots de IA rápidamente en Slack, Discord, Telegram, WeChat y más.</h4>
@@ -50,7 +50,7 @@ LangBot es una **plataforma de código abierto y grado de producción** para con
 
 [→ Conocer más sobre todas las funcionalidades](https://link.langbot.app/en/docs/features)
 
-📍 Guías prácticas: [desplegar un bot de IA multiplataforma en 5 minutos](https://blog.langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [conectar DeepSeek a WeChat, Discord y Telegram](https://blog.langbot.app/en/blog/connect-deepseek-to-wechat/), [ejecutar un Dify Agent en Discord, Telegram y Slack](https://blog.langbot.app/en/blog/dify-agent-discord-telegram-slack/) y [crear un chatbot con n8n](https://blog.langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).
+📍 Guías prácticas: [desplegar un bot de IA multiplataforma en 5 minutos](https://langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [conectar DeepSeek a WeChat, Discord y Telegram](https://langbot.app/en/blog/connect-deepseek-to-wechat/), [ejecutar un Dify Agent en Discord, Telegram y Slack](https://langbot.app/en/blog/dify-agent-discord-telegram-slack/) y [crear un chatbot con n8n](https://langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).
 
 ---
 
@@ -91,6 +91,16 @@ docker compose --profile all up -d
 
 ---
 
+## Demo en Vivo
+
+**Pruébelo ahora:** https://demo.langbot.dev/
+- Correo electrónico: `demo@langbot.app`
+- Contraseña: `langbot123456`
+
+*Nota: Entorno de demostración público. No ingrese información confidencial.*
+
+---
+
 ## Plataformas Soportadas
 
 | Plataforma | Estado | Notas |
@@ -135,7 +145,7 @@ docker compose --profile all up -d
 | [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Plataforma GPU | ✅ |
 | [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Plataforma GPU | ✅ |
 | [接口 AI](https://jiekou.ai/) | Pasarela | ✅ |
-| [302.AI](https://share.302.ai/SuTG99) | Pasarela | ✅ |
+| [302.AI](https://share.302ai.cn/SuTG99) | Pasarela | ✅ |
 | [Qiniu](https://www.qiniu.com/ai/agent) | Pasarela | ✅ |
 
 [→ Ver todas las integraciones](https://link.langbot.app/en/docs/features)
@@ -153,14 +163,6 @@ docker compose --profile all up -d
 
 ---
 
-## Demo en Vivo
-
-**Pruébelo ahora:** https://demo.langbot.dev/
-- Correo electrónico: `demo@langbot.app`
-- Contraseña: `langbot123456`
-
-*Nota: Entorno de demostración público. No ingrese información confidencial.*
-
 ## Diseñado para Agentes de IA 🤖
 
 LangBot es **agent-friendly por diseño** —— tus agentes de codificación (Claude Code, Codex, Copilot, Cursor, …) pueden operar, extender y desplegar LangBot con soporte de primera clase:
@@ -182,12 +184,6 @@ LangBot es **agent-friendly por diseño** —— tus agentes de codificación (C
 
 ---
 
-## Historial de Stars
-
-[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
-
----
-
 ## Colaboradores
 
 Gracias a todos los [colaboradores](https://github.com/langbot-app/LangBot/graphs/contributors) que han ayudado a mejorar LangBot:

README_FR.md

@@ -5,7 +5,7 @@
 
 <div align="center">
 
-<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+<a href="https://www.producthunt.com/products/langbot/launches/langbot?embed=true&amp;utm_source=badge-featured&amp;utm_medium=badge&amp;utm_campaign=badge-langbot" target="_blank" rel="noopener noreferrer"><img alt="LangBot - Easy-to-use global IM bot platform designed for the LLM era | Product Hunt" width="250" height="54" src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=979554&amp;theme=light&amp;t=1782822143403"></a>
 
 <h3>Plateforme de niveau production pour construire des bots de messagerie instantanée avec agents IA.</h3>
 <h4>Créez, déboguez et déployez rapidement des bots IA sur Slack, Discord, Telegram, WeChat et plus.</h4>
@@ -50,7 +50,7 @@ LangBot est une **plateforme open-source de niveau production** pour créer des
 
 [→ En savoir plus sur toutes les fonctionnalités](https://link.langbot.app/en/docs/features)
 
-📍 Guides pratiques : [déployer un bot IA multiplateforme en 5 minutes](https://blog.langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [connecter DeepSeek à WeChat, Discord et Telegram](https://blog.langbot.app/en/blog/connect-deepseek-to-wechat/), [exécuter un Dify Agent dans Discord, Telegram et Slack](https://blog.langbot.app/en/blog/dify-agent-discord-telegram-slack/) et [créer un chatbot avec n8n](https://blog.langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).
+📍 Guides pratiques : [déployer un bot IA multiplateforme en 5 minutes](https://langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [connecter DeepSeek à WeChat, Discord et Telegram](https://langbot.app/en/blog/connect-deepseek-to-wechat/), [exécuter un Dify Agent dans Discord, Telegram et Slack](https://langbot.app/en/blog/dify-agent-discord-telegram-slack/) et [créer un chatbot avec n8n](https://langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).
 
 ---
 
@@ -91,6 +91,16 @@ docker compose --profile all up -d
 
 ---
 
+## Démo en Ligne
+
+**Essayez maintenant :** https://demo.langbot.dev/
+- Email : `demo@langbot.app`
+- Mot de passe : `langbot123456`
+
+*Note : Environnement de démonstration public. Ne saisissez pas d'informations sensibles.*
+
+---
+
 ## Plateformes Supportées
 
 | Plateforme | Statut | Notes |
@@ -132,7 +142,7 @@ docker compose --profile all up -d
 | [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | Passerelle | ✅ |
 | [GiteeAI](https://ai.gitee.com/) | Passerelle | ✅ |
 | [接口 AI](https://jiekou.ai/) | Passerelle | ✅ |
-| [302.AI](https://share.302.ai/SuTG99) | Passerelle | ✅ |
+| [302.AI](https://share.302ai.cn/SuTG99) | Passerelle | ✅ |
 | [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | Plateforme GPU | ✅ |
 | [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Plateforme GPU | ✅ |
 | [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Plateforme GPU | ✅ |
@@ -153,14 +163,6 @@ docker compose --profile all up -d
 
 ---
 
-## Démo en Ligne
-
-**Essayez maintenant :** https://demo.langbot.dev/
-- Email : `demo@langbot.app`
-- Mot de passe : `langbot123456`
-
-*Note : Environnement de démonstration public. Ne saisissez pas d'informations sensibles.*
-
 ## Conçu pour les agents IA 🤖
 
 LangBot est **agent-friendly par conception** —— vos agents de codage (Claude Code, Codex, Copilot, Cursor, …) peuvent exploiter, étendre et déployer LangBot avec un support de premier ordre :
@@ -182,12 +184,6 @@ LangBot est **agent-friendly par conception** —— vos agents de codage (Claud
 
 ---
 
-## Historique des Stars
-
-[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
-
----
-
 ## Contributeurs
 
 Merci à tous les [contributeurs](https://github.com/langbot-app/LangBot/graphs/contributors) qui ont aidé à améliorer LangBot :

README_JP.md

@@ -5,7 +5,7 @@
 
 <div align="center">
 
-<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+<a href="https://www.producthunt.com/products/langbot/launches/langbot?embed=true&amp;utm_source=badge-featured&amp;utm_medium=badge&amp;utm_campaign=badge-langbot" target="_blank" rel="noopener noreferrer"><img alt="LangBot - Easy-to-use global IM bot platform designed for the LLM era | Product Hunt" width="250" height="54" src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=979554&amp;theme=light&amp;t=1782822143403"></a>
 
 <h3>AIエージェント搭載IMボットを構築するための本番グレードプラットフォーム。</h3>
 <h4>Slack、Discord、Telegram、WeChat などに AI ボットを素早く構築、デバッグ、デプロイ。</h4>
@@ -50,7 +50,7 @@ LangBot は、AI搭載のインスタントメッセージングボットを構
 
 [→ すべての機能について詳しく見る](https://link.langbot.app/ja/docs/features)
 
-📍 実践ガイド: [5分でマルチプラットフォームAIボットをデプロイ](https://blog.langbot.app/en/blog/deploy-ai-bot-in-5-minutes/)、[DeepSeekをWeChat・Discord・Telegramに接続](https://blog.langbot.app/en/blog/connect-deepseek-to-wechat/)、[Dify AgentをDiscord・Telegram・Slackで動かす](https://blog.langbot.app/en/blog/dify-agent-discord-telegram-slack/)、[n8n連携チャットボットを構築](https://blog.langbot.app/en/blog/n8n-multi-platform-ai-chatbot/)。
+📍 実践ガイド: [5分でマルチプラットフォームAIボットをデプロイ](https://langbot.app/en/blog/deploy-ai-bot-in-5-minutes/)、[DeepSeekをWeChat・Discord・Telegramに接続](https://langbot.app/en/blog/connect-deepseek-to-wechat/)、[Dify AgentをDiscord・Telegram・Slackで動かす](https://langbot.app/en/blog/dify-agent-discord-telegram-slack/)、[n8n連携チャットボットを構築](https://langbot.app/en/blog/n8n-multi-platform-ai-chatbot/)。
 
 ---
 
@@ -91,6 +91,16 @@ docker compose --profile all up -d
 
 ---
 
+## ライブデモ
+
+**今すぐ試す:** https://demo.langbot.dev/
+- メール: `demo@langbot.app`
+- パスワード: `langbot123456`
+
+*注意: 公開デモ環境です。機密情報を入力しないでください。*
+
+---
+
 ## 対応プラットフォーム
 
 | プラットフォーム | ステータス | 備考 |
@@ -135,7 +145,7 @@ docker compose --profile all up -d
 | [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPUプラットフォーム | ✅ |
 | [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | GPUプラットフォーム | ✅ |
 | [接口 AI](https://jiekou.ai/) | ゲートウェイ | ✅ |
-| [302.AI](https://share.302.ai/SuTG99) | ゲートウェイ | ✅ |
+| [302.AI](https://share.302ai.cn/SuTG99) | ゲートウェイ | ✅ |
 | [Qiniu](https://www.qiniu.com/ai/agent) | ゲートウェイ | ✅ |
 
 [→ すべての統合を表示](https://link.langbot.app/en/docs/features)
@@ -153,14 +163,6 @@ docker compose --profile all up -d
 
 ---
 
-## ライブデモ
-
-**今すぐ試す:** https://demo.langbot.dev/
-- メール: `demo@langbot.app`
-- パスワード: `langbot123456`
-
-*注意: 公開デモ環境です。機密情報を入力しないでください。*
-
 ## AI エージェントのために 🤖
 
 LangBot は **設計段階からエージェントフレンドリー** です。お使いのコーディングエージェント（Claude Code、Codex、Copilot、Cursor など）が、ファーストクラスのサポートで LangBot を操作・拡張・デプロイできます：
@@ -182,12 +184,6 @@ LangBot は **設計段階からエージェントフレンドリー** です。
 
 ---
 
-## Star 推移
-
-[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
-
----
-
 ## コントリビューター
 
 LangBot をより良くするために貢献してくださったすべての[コントリビューター](https://github.com/langbot-app/LangBot/graphs/contributors)に感謝します:

README_KO.md

@@ -5,7 +5,7 @@
 
 <div align="center">
 
-<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+<a href="https://www.producthunt.com/products/langbot/launches/langbot?embed=true&amp;utm_source=badge-featured&amp;utm_medium=badge&amp;utm_campaign=badge-langbot" target="_blank" rel="noopener noreferrer"><img alt="LangBot - Easy-to-use global IM bot platform designed for the LLM era | Product Hunt" width="250" height="54" src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=979554&amp;theme=light&amp;t=1782822143403"></a>
 
 <h3>AI 에이전트 IM 봇 구축을 위한 프로덕션 등급 플랫폼.</h3>
 <h4>Slack, Discord, Telegram, WeChat 등에 AI 봇을 빠르게 구축, 디버그 및 배포.</h4>
@@ -50,7 +50,7 @@ LangBot은 AI 기반 인스턴트 메시징 봇을 구축하기 위한 **오픈
 
 [→ 모든 기능 자세히 보기](https://link.langbot.app/en/docs/features)
 
-📍 실전 가이드: [5분 만에 멀티 플랫폼 AI 봇 배포하기](https://blog.langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [DeepSeek를 WeChat, Discord, Telegram에 연결하기](https://blog.langbot.app/en/blog/connect-deepseek-to-wechat/), [Dify Agent를 Discord, Telegram, Slack에서 실행하기](https://blog.langbot.app/en/blog/dify-agent-discord-telegram-slack/), [n8n 기반 챗봇 만들기](https://blog.langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).
+📍 실전 가이드: [5분 만에 멀티 플랫폼 AI 봇 배포하기](https://langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [DeepSeek를 WeChat, Discord, Telegram에 연결하기](https://langbot.app/en/blog/connect-deepseek-to-wechat/), [Dify Agent를 Discord, Telegram, Slack에서 실행하기](https://langbot.app/en/blog/dify-agent-discord-telegram-slack/), [n8n 기반 챗봇 만들기](https://langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).
 
 ---
 
@@ -91,6 +91,16 @@ docker compose --profile all up -d
 
 ---
 
+## 라이브 데모
+
+**지금 체험:** https://demo.langbot.dev/
+- 이메일: `demo@langbot.app`
+- 비밀번호: `langbot123456`
+
+*참고: 공개 데모 환경입니다. 민감한 정보를 입력하지 마세요.*
+
+---
+
 ## 지원 플랫폼
 
 | 플랫폼 | 상태 | 비고 |
@@ -135,7 +145,7 @@ docker compose --profile all up -d
 | [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPU 플랫폼 | ✅ |
 | [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | GPU 플랫폼 | ✅ |
 | [接口 AI](https://jiekou.ai/) | 게이트웨이 | ✅ |
-| [302.AI](https://share.302.ai/SuTG99) | 게이트웨이 | ✅ |
+| [302.AI](https://share.302ai.cn/SuTG99) | 게이트웨이 | ✅ |
 | [Qiniu](https://www.qiniu.com/ai/agent) | 게이트웨이 | ✅ |
 
 [→ 모든 통합 보기](https://link.langbot.app/en/docs/features)
@@ -153,14 +163,6 @@ docker compose --profile all up -d
 
 ---
 
-## 라이브 데모
-
-**지금 체험:** https://demo.langbot.dev/
-- 이메일: `demo@langbot.app`
-- 비밀번호: `langbot123456`
-
-*참고: 공개 데모 환경입니다. 민감한 정보를 입력하지 마세요.*
-
 ## AI 에이전트를 위한 설계 🤖
 
 LangBot은 **설계 단계부터 에이전트 친화적**입니다 —— 코딩 에이전트(Claude Code, Codex, Copilot, Cursor 등)가 일급 지원으로 LangBot을 운영·확장·배포할 수 있습니다:
@@ -182,12 +184,6 @@ LangBot은 **설계 단계부터 에이전트 친화적**입니다 —— 코딩
 
 ---
 
-## Star 추이
-
-[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
-
----
-
 ## 기여자
 
 LangBot을 더 나은 프로젝트로 만들어 주신 모든 [기여자](https://github.com/langbot-app/LangBot/graphs/contributors)분들께 감사드립니다:

README_RU.md

@@ -5,7 +5,7 @@
 
 <div align="center">
 
-<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+<a href="https://www.producthunt.com/products/langbot/launches/langbot?embed=true&amp;utm_source=badge-featured&amp;utm_medium=badge&amp;utm_campaign=badge-langbot" target="_blank" rel="noopener noreferrer"><img alt="LangBot - Easy-to-use global IM bot platform designed for the LLM era | Product Hunt" width="250" height="54" src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=979554&amp;theme=light&amp;t=1782822143403"></a>
 
 <h3>Платформа производственного уровня для создания агентных IM-ботов.</h3>
 <h4>Быстро создавайте, отлаживайте и развертывайте ИИ-ботов в Slack, Discord, Telegram, WeChat и других платформах.</h4>
@@ -50,7 +50,7 @@ LangBot — это **платформа с открытым исходным к
 
 [→ Подробнее обо всех возможностях](https://link.langbot.app/en/docs/features)
 
-📍 Практические руководства: [развернуть мультиплатформенного ИИ-бота за 5 минут](https://blog.langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [подключить DeepSeek к WeChat, Discord и Telegram](https://blog.langbot.app/en/blog/connect-deepseek-to-wechat/), [запустить Dify Agent в Discord, Telegram и Slack](https://blog.langbot.app/en/blog/dify-agent-discord-telegram-slack/) и [создать чат-бота на n8n](https://blog.langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).
+📍 Практические руководства: [развернуть мультиплатформенного ИИ-бота за 5 минут](https://langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [подключить DeepSeek к WeChat, Discord и Telegram](https://langbot.app/en/blog/connect-deepseek-to-wechat/), [запустить Dify Agent в Discord, Telegram и Slack](https://langbot.app/en/blog/dify-agent-discord-telegram-slack/) и [создать чат-бота на n8n](https://langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).
 
 ---
 
@@ -91,6 +91,16 @@ docker compose --profile all up -d
 
 ---
 
+## Демо
+
+**Попробуйте прямо сейчас:** https://demo.langbot.dev/
+- Email: `demo@langbot.app`
+- Пароль: `langbot123456`
+
+*Примечание: Публичная демо-среда. Не вводите конфиденциальную информацию.*
+
+---
+
 ## Поддерживаемые платформы
 
 | Платформа | Статус | Примечания |
@@ -131,7 +141,7 @@ docker compose --profile all up -d
 | [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | Шлюз | ✅ |
 | [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | Шлюз | ✅ |
 | [GiteeAI](https://ai.gitee.com/) | Шлюз | ✅ |
-| [302.AI](https://share.302.ai/SuTG99) | Шлюз | ✅ |
+| [302.AI](https://share.302ai.cn/SuTG99) | Шлюз | ✅ |
 | [接口 AI](https://jiekou.ai/) | Шлюз | ✅ |
 | [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | Платформа GPU | ✅ |
 | [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Платформа GPU | ✅ |
@@ -153,14 +163,6 @@ docker compose --profile all up -d
 
 ---
 
-## Демо
-
-**Попробуйте прямо сейчас:** https://demo.langbot.dev/
-- Email: `demo@langbot.app`
-- Пароль: `langbot123456`
-
-*Примечание: Публичная демо-среда. Не вводите конфиденциальную информацию.*
-
 ## Создано для ИИ-агентов 🤖
 
 LangBot **дружелюбен к агентам по своей архитектуре** —— ваши кодинг-агенты (Claude Code, Codex, Copilot, Cursor и др.) могут управлять, расширять и развёртывать LangBot с первоклассной поддержкой:
@@ -182,12 +184,6 @@ LangBot **дружелюбен к агентам по своей архитек
 
 ---
 
-## История Stars
-
-[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
-
----
-
 ## Участники
 
 Спасибо всем [участникам](https://github.com/langbot-app/LangBot/graphs/contributors), которые помогли сделать LangBot лучше:

README_TW.md

@@ -52,7 +52,7 @@ LangBot 是一個**開源的生產級平台**，用於建構 AI 驅動的即時
 
 [→ 了解更多功能特性](https://link.langbot.app/zh/docs/features)
 
-📍 實踐指南：[5 分鐘部署多平台 AI 機器人](https://blog.langbot.app/zh/blog/deploy-ai-bot-in-5-minutes/)、[將 DeepSeek 接入微信、企業微信與 Discord](https://blog.langbot.app/zh/blog/connect-deepseek-to-wechat/)、[讓 Dify Agent 跑在 Discord、Telegram 和 Slack 上](https://blog.langbot.app/zh/blog/dify-agent-discord-telegram-slack/)，以及[用 n8n 建構多平台 AI 聊天機器人](https://blog.langbot.app/zh/blog/n8n-multi-platform-ai-chatbot/)。
+📍 實踐指南：[5 分鐘部署多平台 AI 機器人](https://langbot.app/zh/blog/deploy-ai-bot-in-5-minutes/)、[將 DeepSeek 接入微信、企業微信與 Discord](https://langbot.app/zh/blog/connect-deepseek-to-wechat/)、[讓 Dify Agent 跑在 Discord、Telegram 和 Slack 上](https://langbot.app/zh/blog/dify-agent-discord-telegram-slack/)，以及[用 n8n 建構多平台 AI 聊天機器人](https://langbot.app/zh/blog/n8n-multi-platform-ai-chatbot/)。
 
 ---
 
@@ -93,6 +93,16 @@ docker compose --profile all up -d
 
 ---
 
+## 線上演示
+
+**立即體驗：** https://demo.langbot.dev/
+- 信箱：`demo@langbot.app`
+- 密碼：`langbot123456`
+
+*注意：公開演示環境，請不要在其中填入任何敏感資訊。*
+
+---
+
 ## 支援的平台
 
 | 平台 | 狀態 | 備註 |
@@ -137,7 +147,7 @@ docker compose --profile all up -d
 | [優雲智算](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | GPU 平台 | ✅ |
 | [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPU 平台 | ✅ |
 | [接口 AI](https://jiekou.ai/) | 聚合平台 | ✅ |
-| [302.AI](https://share.302.ai/SuTG99) | 聚合平台 | ✅ |
+| [302.AI](https://share.302ai.cn/SuTG99) | 聚合平台 | ✅ |
 | [Qiniu](https://www.qiniu.com/ai/agent) | 聚合平台 | ✅ |
 
 ### TTS（語音合成）
@@ -169,14 +179,6 @@ docker compose --profile all up -d
 
 ---
 
-## 線上演示
-
-**立即體驗：** https://demo.langbot.dev/
-- 信箱：`demo@langbot.app`
-- 密碼：`langbot123456`
-
-*注意：公開演示環境，請不要在其中填入任何敏感資訊。*
-
 ## 為 AI Agent 而生 🤖
 
 LangBot **從設計上就對 Agent 友善** —— 你的編碼 Agent（Claude Code、Codex、Copilot、Cursor 等）可以一等公民般地操作、擴充和部署 LangBot：
@@ -200,12 +202,6 @@ LangBot **從設計上就對 Agent 友善** —— 你的編碼 Agent（Claude C
 
 ---
 
-## Star 趨勢
-
-[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
-
----
-
 ## 貢獻者
 
 感謝所有[貢獻者](https://github.com/langbot-app/LangBot/graphs/contributors)對 LangBot 的幫助：

README_VI.md

@@ -5,7 +5,7 @@
 
 <div align="center">
 
-<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+<a href="https://www.producthunt.com/products/langbot/launches/langbot?embed=true&amp;utm_source=badge-featured&amp;utm_medium=badge&amp;utm_campaign=badge-langbot" target="_blank" rel="noopener noreferrer"><img alt="LangBot - Easy-to-use global IM bot platform designed for the LLM era | Product Hunt" width="250" height="54" src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=979554&amp;theme=light&amp;t=1782822143403"></a>
 
 <h3>Nền tảng cấp sản xuất để xây dựng bot IM với AI agent.</h3>
 <h4>Xây dựng, gỡ lỗi và triển khai bot AI nhanh chóng trên Slack, Discord, Telegram, WeChat và nhiều nền tảng khác.</h4>
@@ -50,7 +50,7 @@ LangBot là một **nền tảng mã nguồn mở, cấp sản xuất** để x
 
 [→ Tìm hiểu thêm về tất cả tính năng](https://link.langbot.app/en/docs/features)
 
-📍 Hướng dẫn thực hành: [triển khai bot AI đa nền tảng trong 5 phút](https://blog.langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [kết nối DeepSeek với WeChat, Discord và Telegram](https://blog.langbot.app/en/blog/connect-deepseek-to-wechat/), [chạy Dify Agent trên Discord, Telegram và Slack](https://blog.langbot.app/en/blog/dify-agent-discord-telegram-slack/) và [xây dựng chatbot với n8n](https://blog.langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).
+📍 Hướng dẫn thực hành: [triển khai bot AI đa nền tảng trong 5 phút](https://langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [kết nối DeepSeek với WeChat, Discord và Telegram](https://langbot.app/en/blog/connect-deepseek-to-wechat/), [chạy Dify Agent trên Discord, Telegram và Slack](https://langbot.app/en/blog/dify-agent-discord-telegram-slack/) và [xây dựng chatbot với n8n](https://langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).
 
 ---
 
@@ -91,6 +91,16 @@ docker compose --profile all up -d
 
 ---
 
+## Demo trực tuyến
+
+**Thử ngay:** https://demo.langbot.dev/
+- Email: `demo@langbot.app`
+- Mật khẩu: `langbot123456`
+
+*Lưu ý: Môi trường demo công khai. Không nhập thông tin nhạy cảm.*
+
+---
+
 ## Nền tảng được hỗ trợ
 
 | Nền tảng | Trạng thái | Ghi chú |
@@ -135,7 +145,7 @@ docker compose --profile all up -d
 | [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Nền tảng GPU | ✅ |
 | [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Nền tảng GPU | ✅ |
 | [接口 AI](https://jiekou.ai/) | Cổng | ✅ |
-| [302.AI](https://share.302.ai/SuTG99) | Cổng | ✅ |
+| [302.AI](https://share.302ai.cn/SuTG99) | Cổng | ✅ |
 | [Qiniu](https://www.qiniu.com/ai/agent) | Cổng | ✅ |
 
 [→ Xem tất cả tích hợp](https://link.langbot.app/en/docs/features)
@@ -153,14 +163,6 @@ docker compose --profile all up -d
 
 ---
 
-## Demo trực tuyến
-
-**Thử ngay:** https://demo.langbot.dev/
-- Email: `demo@langbot.app`
-- Mật khẩu: `langbot123456`
-
-*Lưu ý: Môi trường demo công khai. Không nhập thông tin nhạy cảm.*
-
 ## Được xây dựng cho AI Agent 🤖
 
 LangBot **thân thiện với agent ngay từ thiết kế** —— các coding agent của bạn (Claude Code, Codex, Copilot, Cursor, …) có thể vận hành, mở rộng và triển khai LangBot với sự hỗ trợ hạng nhất:
@@ -182,12 +184,6 @@ LangBot **thân thiện với agent ngay từ thiết kế** —— các coding
 
 ---
 
-## Lịch sử Star
-
-[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
-
----
-
 ## Người đóng góp
 
 Cảm ơn tất cả [người đóng góp](https://github.com/langbot-app/LangBot/graphs/contributors) đã giúp LangBot trở nên tốt hơn:

docker/docker-compose.yaml

@@ -62,11 +62,12 @@ services:
       - TZ=Asia/Shanghai
       # Unified env-override convention: SECTION__SUBSECTION__KEY overrides the
       # matching config.yaml field (see LoadConfigStage). These map onto
-      # box.local.* and are forwarded to the Box runtime via INIT RPC.
+      # box.* and are forwarded to the Box runtime via INIT RPC.
       - BOX__LOCAL__HOST_ROOT=${LANGBOT_BOX_ROOT:-${PWD}/data/box}
       - BOX__LOCAL__DEFAULT_WORKSPACE=default
       - BOX__LOCAL__SKILLS_ROOT=skills
       - BOX__LOCAL__ALLOWED_MOUNT_ROOTS=${LANGBOT_BOX_ROOT:-${PWD}/data/box}
+      - BOX__DOCKER__CPU_LIMIT_ENABLED=${LANGBOT_BOX_DOCKER_CPU_LIMIT_ENABLED:-true}
     ports:
       - 5300:5300  # For web ui and webhook callback
       - 2280-2285:2280-2285  # For platform reverse connection

docs/HTTP_BOT_ADAPTER_DESIGN.md

@@ -0,0 +1,575 @@
+# HTTP Bot Adapter — Design Document
+
+> Status: **Implemented** · Branch: `feat/http-bot-adapter` · Author: LangBot core
+>
+> A first-class, **standalone** message-platform adapter (`http_bot`) that lets
+> any external system (e.g. LangBot Space ticketing, an internal back-office, a
+> CRM, a custom web app) talk to a LangBot pipeline over plain HTTP — **inbound**
+> by POSTing messages in, **outbound** by receiving replies on a callback URL —
+> with full support for the pipeline's native N→1 aggregation and 1→M
+> multi-reply semantics, and **without** holding a long-lived WebSocket
+> connection.
+>
+> **Shipped in this branch:**
+> - `src/langbot/pkg/platform/sources/http_bot.yaml` — adapter manifest (auto-discovered)
+> - `src/langbot/pkg/platform/sources/http_bot.py` — `HttpBotAdapter`
+> - `src/langbot/pkg/platform/sources/http_bot_signing.py` — HMAC helpers
+> - `src/langbot/pkg/platform/sources/http_bot.svg` — icon
+> - `docs/platforms/http-bot.md` — integration guide
+> - `docs/http-bot-openapi.json` — machine-readable contract
+> - `examples/http-bot/` — Python + TypeScript reference clients
+>
+> **Final decisions (resolving the original open questions):**
+> 1. Callback URL is **config-only** — never accepted per-message (SSRF closed).
+> 2. **Session reset is provided** — `POST /bots/<uuid>/reset` keyed by `session_id`.
+> 3. Reference **clients are provided** — `examples/http-bot/client.py` + `client.ts`.
+> 4. **Sync convenience mode is included** — `POST /bots/<uuid>/sync` (opt-in, lossy).
+
+---
+
+## 1. Background & Motivation
+
+### 1.1 The concrete need
+
+LangBot Space wants to use a LangBot pipeline as the brain for **ticket
+handling**. The integration is **server-to-server**: Space's backend pushes a
+user's ticket messages into LangBot and renders LangBot's replies back into the
+ticket thread.
+
+This interaction is **not** request/response shaped:
+
+- **N → 1**: a user may fire several messages in a row ("the app crashed" …
+  "when I click export" … "here's a screenshot"). The pipeline's
+  **message aggregation** feature should debounce and merge these into one turn.
+- **1 → N**: a single turn may yield **multiple** outbound messages — a tool/
+  function call narrating progress, a plugin emitting several cards, a streamed
+  answer split into chunks.
+
+### 1.2 Why the existing options don't fit
+
+LangBot today exposes exactly one externally-reachable way to drive a pipeline
+that is **not** tied to a specific IM vendor: the **WebSocket** path
+(`/api/v1/pipelines/<uuid>/ws/connect` for dashboard debug, and
+`/api/v1/embed/<bot_uuid>/ws/connect` for the embeddable web widget).
+
+For a server-to-server integration the WebSocket path has real friction:
+
+| Problem | Detail |
+|---|---|
+| Long-lived connection | Caller must maintain a socket, heartbeats, and reconnect logic for what is fundamentally a fire-and-collect workload. |
+| Session identity | Inbound messages are keyed by the transient `connection_id` (`websocket_{connection_id}`); the caller **cannot supply a stable, business-meaningful session id** (e.g. a ticket number). Multi-ticket isolation is not expressible. |
+| Auth mismatch | The debug socket is gated by the **dashboard JWT** (must not be handed to an external service); the embed socket is gated by **Cloudflare Turnstile** (a *browser* human-check that a backend cannot satisfy). Neither is a server-to-server credential. |
+| In-memory, single-process state | Session history lives in process memory and is lost on restart. |
+
+> **Key realisation.** The N→1 / 1→M behaviour the caller wants is **not**
+> provided by WebSocket — it is provided by the **pipeline** (aggregation +
+> the adapter being free to call `reply_message` any number of times). It is
+> therefore **transport-independent**. We can deliver the exact same semantics
+> over a far lighter HTTP transport.
+
+### 1.3 Why a *new, standalone* adapter (not a refactor of an existing one)
+
+The brief is explicit: **do not reuse / fork an existing vendor adapter.** The
+vendor adapters (`lark`, `wecom`, `qqofficial`, `slack`, …) carry vendor-specific
+signature schemes, payload shapes, and message-segment mappings. Bending one of
+them into a "generic" mode would couple a public integration surface to one
+vendor's quirks and make the developer experience worse for everyone.
+
+Instead we ship `http_bot` as a clean, independent adapter whose **entire
+contract is LangBot's own** — documented, versioned, and designed front-to-back
+around *integrator* developer experience.
+
+---
+
+## 2. Goals & Non-Goals
+
+### Goals
+
+- **G1** A standalone `http_bot` adapter, selectable like any other platform
+  adapter in the dashboard, with its own config schema and docs.
+- **G2** **Inbound**: external systems POST messages to a stable LangBot URL,
+  carrying a **caller-defined `session_id`** that maps 1:1 to a LangBot session.
+- **G3** **Outbound**: LangBot delivers each reply by POSTing to a
+  caller-configured **callback URL**; one turn may produce **many** callbacks.
+- **G4** Preserve pipeline-native **N→1 aggregation** and **1→M multi-reply**.
+- **G5** Server-to-server **auth**: shared-secret HMAC request signing both
+  directions (no JWT, no Turnstile, no long-lived socket).
+- **G6** **Great DX**: copy-pasteable curl, a tiny reference client, an OpenAPI
+  fragment, idempotency, clear error envelope, and a local echo-server recipe.
+
+### Non-Goals
+
+- Not replacing or deprecating the WebSocket / embed widget path (that remains
+  the right tool for *browser*, real-time, streaming chat UIs).
+- Not a synchronous "one request → one response" RPC (explicitly rejected: it
+  cannot express 1→M; see §9 for the optional sync convenience mode).
+- No built-in message **persistence/replay** in v1 (callbacks are at-least-once
+  best-effort; durability is the caller's responsibility — see §8).
+- No multi-tenant API-key management UI in v1 (one secret per bot; see §11).
+
+---
+
+## 3. How LangBot routes a message (the parts we plug into)
+
+Understanding the existing flow is what makes this adapter cheap. A message
+flows through these stages (verified against current `master`):
+
+```
+                INBOUND                                         OUTBOUND
+ external POST ─┐                                       ┌─ reply_message()
+               ▼                                        │  reply_message_chunk()
+  POST /bots/<bot_uuid>            (unified webhook router, AuthType.NONE)
+               │  webhooks.py → adapter.handle_unified_webhook(bot_uuid, path, request)
+               ▼                                        │
+  HttpBotAdapter.handle_unified_webhook                 │  (called 0..N times
+   • verify HMAC signature                              │   per turn by the
+   • parse {session_id, message[]}                      │   pipeline / plugins)
+   • build FriendMessage / GroupMessage                 │
+   • fire registered listener  ───────────────┐        │
+               │                               │        │
+               ▼                               ▼        │
+  botmgr.on_friend_message / on_group_message           │
+   • (optional) webhook_pusher fan-out                  │
+   • msg_aggregator.add_message(...) ── N→1 debounce ──►│
+               │                                        │
+               ▼                                        │
+  query_pool → pipeline.run()  ─── invokes adapter ─────┘
+                                    reply methods 1..M times
+```
+
+Two framework facts we rely on:
+
+1. **N→1 aggregation is free.** `botmgr` hands every inbound event to
+   `self.ap.msg_aggregator.add_message(...)`, which debounces per
+   `session_id` and merges consecutive messages into one pipeline turn
+   (`pkg/pipeline/aggregator.py`). The adapter does nothing special.
+
+2. **1→M is free.** The pipeline (and any plugin in the chain) calls
+   `adapter.reply_message()` / `reply_message_chunk()` **as many times as it
+   wants** per turn. The adapter's only job is to deliver each call outward.
+   For `http_bot` that means: **one outbound callback POST per call.**
+
+3. **A unified inbound route already exists.** `WebhookRouterGroup`
+   (`pkg/api/http/controller/groups/webhooks.py`) maps
+   `POST /bots/<bot_uuid>[/<path>]` (auth `NONE`) to
+   `adapter.handle_unified_webhook(bot_uuid, path, request)`. `http_bot`
+   implements that method and is reachable **without registering any new
+   route** — it does its own signature verification, exactly like the vendor
+   webhook adapters do.
+
+> Net new code is essentially: one `http_bot.py` adapter, one `http_bot.yaml`
+> schema, signing helpers, and docs. No router, aggregator, or pipeline changes.
+
+---
+
+## 4. Architecture Overview
+
+```
+┌────────────────────┐         (1) inbound: POST signed message
+│  External system   │  ──────────────────────────────────────────────►  ┌──────────────────────┐
+│ (LangBot Space,    │         POST /bots/<bot_uuid>                      │      LangBot         │
+│  CRM, web app …)   │         X-LB-Signature, X-LB-Timestamp             │                      │
+│                    │         { session_id, message:[...] }              │  HttpBotAdapter      │
+│  - callback server │  ◄──────────────────────────────────────────────  │   (platform/sources) │
+│    (receives       │         (4) outbound: POST signed reply(s)         │                      │
+│     replies)       │         POST <callback_url>                        │  pipeline + aggregator│
+└────────────────────┘         X-LB-Signature, X-LB-Timestamp            └──────────────────────┘
+                               { session_id, sequence, is_final,
+                                 message:[...] }      (sent 1..M times)
+```
+
+- The adapter is **stateless across requests** at the HTTP layer; session
+  continuity is carried by `session_id` and resolved by LangBot's normal
+  session manager.
+- **Inbound** and **outbound** are **independent HTTP exchanges**. LangBot does
+  not answer the inbound POST with the pipeline result; it `202 Accepts` it and
+  later POSTs the reply(s) to the callback URL. This is what makes 1→M natural.
+
+---
+
+## 5. Configuration Schema (`http_bot.yaml`)
+
+Follows the existing `MessagePlatformAdapter` manifest convention (cf.
+`slack.yaml`). Fields:
+
+| field | type | required | purpose |
+|---|---|---|---|
+| `inbound_secret` | string (secret) | yes | HMAC key the **caller** uses to sign inbound POSTs; LangBot verifies. |
+| `callback_url` | string (url) | no* | Where LangBot POSTs replies. *Optional if the caller supplies `callback_url` per-message (see §6.1); a static default lives here. |
+| `outbound_secret` | string (secret) | no | HMAC key LangBot uses to sign outbound callbacks; caller verifies. Defaults to `inbound_secret` if empty. |
+| `default_session_type` | enum `person`/`group` | no | Default when a message omits `session_type`. Default `person`. |
+| `signature_required` | bool | no | If `false`, skip inbound signature check (dev only; logs a warning). Default `true`. |
+| `callback_timeout` | int (seconds) | no | Per-callback HTTP timeout. Default `15`. |
+| `callback_max_retries` | int | no | Retries on 5xx/timeout with backoff. Default `3`. |
+| `webhook_url` | webhook-url (display) | — | Read-only field rendering the inbound URL `…/bots/<bot_uuid>` for copy-paste, like other webhook adapters. |
+
+Manifest sketch (i18n labels elided for brevity):
+
+```yaml
+apiVersion: v1
+kind: MessagePlatformAdapter
+metadata:
+  name: http_bot
+  label: { en_US: "HTTP Bot", zh_Hans: "HTTP 通用接入" }
+  description:
+    en_US: "Integrate any backend over plain HTTP. Push messages in, receive replies on a callback URL. Server-to-server, no long-lived connection."
+    zh_Hans: "通过 HTTP 接入任意后端系统。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。"
+  icon: http_bot.svg
+spec:
+  categories: [popular, global]
+  help_links:
+    zh: https://docs.langbot.app/zh/platforms/http-bot
+    en: https://docs.langbot.app/en/platforms/http-bot
+  config:
+    - { name: inbound_secret,       type: string, required: true,  default: "" }
+    - { name: callback_url,         type: string, required: false, default: "" }
+    - { name: outbound_secret,      type: string, required: false, default: "" }
+    - { name: default_session_type, type: select, required: false, default: "person",
+        options: [person, group] }
+    - { name: signature_required,   type: boolean, required: false, default: true }
+    - { name: callback_timeout,     type: integer, required: false, default: 15 }
+    - { name: callback_max_retries, type: integer, required: false, default: 3 }
+    - { name: webhook_url,          type: webhook-url, required: false, default: "" }
+execution:
+  python:
+    path: ./http_bot.py
+    attr: HttpBotAdapter
+```
+
+---
+
+## 6. The HTTP Contract (this is the DX surface)
+
+### 6.1 Inbound — push a message into LangBot
+
+```
+POST /bots/{bot_uuid}
+Content-Type: application/json
+X-LB-Timestamp: 1718000000
+X-LB-Signature: sha256=<hex hmac>
+X-LB-Idempotency-Key: <uuid>        # optional, dedup window
+```
+
+Body:
+
+```jsonc
+{
+  "session_id": "ticket-10293",        // REQUIRED. Caller-defined. Maps 1:1 to a LangBot session.
+  "session_type": "person",            // optional, "person" | "group"; default from config
+  "sender": {                          // optional metadata, surfaced to pipeline/plugins
+    "id": "user-5567",
+    "name": "Alice"
+  },
+  "message": [                         // REQUIRED. A LangBot MessageChain (list of segments).
+    { "type": "Plain", "text": "Export keeps failing on the dashboard." },
+    { "type": "Image", "url": "https://.../screenshot.png" }
+  ]
+}
+```
+
+Response (LangBot does **not** block on the pipeline):
+
+```jsonc
+// 202 Accepted
+{
+  "code": 0,
+  "msg": "accepted",
+  "data": {
+    "session_id": "ticket-10293",
+    "accepted_message_id": "in_01H....",   // server-assigned id for this inbound message
+    "aggregating": true                    // true if buffered by the aggregator
+  }
+}
+```
+
+**N→1 in practice.** Fire three POSTs with the same `session_id` inside the
+aggregation window → the pipeline runs **once** with the three messages merged.
+No special flag needed; this is the aggregator's default behaviour when enabled
+on the pipeline.
+
+### 6.2 Outbound — LangBot delivers replies to your callback
+
+For each `reply_message` / `reply_message_chunk` the pipeline emits, LangBot
+POSTs to `callback_url`:
+
+```
+POST {callback_url}
+Content-Type: application/json
+X-LB-Timestamp: 1718000001
+X-LB-Signature: sha256=<hex hmac over body>
+```
+
+Body:
+
+```jsonc
+{
+  "session_id": "ticket-10293",         // echoes the inbound session
+  "reply_to": "in_01H....",             // the inbound message id this answers
+  "sequence": 1,                        // 1-based ordinal within this turn (for 1→M ordering)
+  "is_final": false,                    // false for intermediate/streamed parts
+  "stream": false,                      // true when this is a streamed chunk
+  "message": [
+    { "type": "Plain", "text": "Looking into it — checking your export logs…" }
+  ],
+  "timestamp": "2026-06-22T09:00:01Z"
+}
+```
+
+**1→M in practice.** A turn that fires a function call then a final answer
+produces e.g.:
+
+```
+POST callback  → { sequence: 1, is_final: false, message: ["Checking logs…"] }
+POST callback  → { sequence: 2, is_final: false, message: ["Found 2 failed exports."] }
+POST callback  → { sequence: 3, is_final: true,  message: ["Fixed. Try again now."] }
+```
+
+The caller stitches by `session_id` + `sequence`, and knows the turn is complete
+when `is_final: true` arrives.
+
+Your callback endpoint should return `200` quickly. A non-2xx triggers retry
+with backoff (`callback_max_retries`).
+
+### 6.3 Error envelope (inbound)
+
+Consistent, machine-readable; never leak internals:
+
+```jsonc
+{ "code": 40101, "msg": "invalid signature", "data": null }
+```
+
+| HTTP | code | meaning |
+|---|---|---|
+| 202 | 0 | accepted |
+| 400 | 40001 | malformed body / missing `session_id` or `message` |
+| 401 | 40101 | bad/expired signature |
+| 403 | 40301 | bot disabled |
+| 404 | 40401 | bot_uuid not found / not an `http_bot` adapter |
+| 409 | 40901 | duplicate idempotency key (already accepted) |
+| 413 | 41301 | message too large |
+| 500 | 50001 | internal error |
+
+---
+
+## 7. Signing scheme (both directions)
+
+Symmetric, dependency-free HMAC-SHA256 — trivial to implement in any language.
+
+```
+signing_string = "{timestamp}.{raw_request_body}"
+signature      = "sha256=" + hex(HMAC_SHA256(secret, signing_string))
+```
+
+Verification rules:
+
+- Reject if `|now - timestamp| > 300s` (replay window).
+- Constant-time compare (`hmac.compare_digest`).
+- Inbound verified with `inbound_secret`; outbound signed with
+  `outbound_secret` (falls back to `inbound_secret`).
+- `signature_required: false` bypasses verification **and logs a warning** —
+  intended only for local development behind a trusted network.
+
+Reference (Python, ~6 lines):
+
+```python
+import hmac, hashlib, time
+
+def sign(secret: str, body: bytes, ts: int | None = None) -> tuple[str, str]:
+    ts = ts or int(time.time())
+    mac = hmac.new(secret.encode(), f"{ts}.".encode() + body, hashlib.sha256)
+    return str(ts), "sha256=" + mac.hexdigest()
+```
+
+---
+
+## 8. Delivery semantics & reliability
+
+- **Inbound**: `202 Accepted` means *queued*, not *processed*. Use
+  `X-LB-Idempotency-Key` to make client retries safe (dedup window, e.g. 10 min).
+- **Outbound**: **at-least-once**, best-effort. Retries on timeout/5xx with
+  exponential backoff up to `callback_max_retries`. Callbacks for one
+  `session_id` are delivered **in `sequence` order** (serialised per session);
+  across sessions they may interleave.
+- **No persistence in v1**: if LangBot restarts mid-turn, in-flight callbacks
+  may be lost. Durable replay is deferred (see §13). Callers needing exactly-once
+  should dedup on `(session_id, reply_to, sequence)`.
+- **Backpressure**: the adapter must not block the pipeline on slow callbacks —
+  outbound POSTs run on a per-session ordered queue with the configured timeout.
+
+---
+
+## 9. Optional: synchronous convenience mode (v1.1, behind a flag)
+
+Some simple callers genuinely want "POST a message, get the reply in the HTTP
+response" and don't care about streaming/multi-part. We can offer an **opt-in**
+sync endpoint that internally waits for `is_final` and **collapses** all 1→M
+parts into one array:
+
+```
+POST /bots/{bot_uuid}/sync     →    200 { session_id, message: [ ...all parts concatenated... ] }
+```
+
+Implemented by attaching a per-request future that resolves on the final reply,
+with a hard timeout. This is a **convenience wrapper** over the same machinery,
+explicitly documented as lossy for streaming/ordering. Not in v1 core.
+
+---
+
+## 10. Adapter implementation sketch (`platform/sources/http_bot.py`)
+
+Implements `AbstractMessagePlatformAdapter`. Key methods:
+
+```python
+class HttpBotAdapter(AbstractMessagePlatformAdapter):
+    listeners: dict = pydantic.Field(default_factory=dict, exclude=True)
+
+    # --- inbound -------------------------------------------------------
+    async def handle_unified_webhook(self, bot_uuid, path, request):
+        body = await request.get_body()
+        if self.config.get("signature_required", True):
+            if not self._verify(request, body):
+                return jsonify({"code": 40101, "msg": "invalid signature"}), 401
+        data = json.loads(body)
+        session_id    = data["session_id"]                 # caller-defined identity
+        session_type  = data.get("session_type", self.config.get("default_session_type", "person"))
+        chain         = MessageChain.model_validate(data["message"])
+        event         = self._build_event(session_type, session_id, data.get("sender"), chain)
+        # remember where to send replies for this session
+        self._callback_for[session_id] = data.get("callback_url") or self.config.get("callback_url")
+        # fire the registered listener → botmgr → msg_aggregator (N→1) → pipeline
+        if type(event) in self.listeners:
+            asyncio.create_task(self.listeners[type(event)](event, self))
+        return jsonify({"code": 0, "msg": "accepted",
+                        "data": {"session_id": session_id, "accepted_message_id": event.message_id}}), 202
+
+    # --- outbound (called 1..M times per turn by the pipeline) ---------
+    async def reply_message(self, message_source, message, quote_origin=False):
+        return await self._post_callback(message_source, message, is_final=True, stream=False)
+
+    async def reply_message_chunk(self, message_source, bot_message, message,
+                                  quote_origin=False, is_final=False):
+        return await self._post_callback(message_source, message, is_final=is_final, stream=True)
+
+    async def is_stream_output_supported(self) -> bool:
+        return True
+
+    def register_listener(self, event_type, func):   self.listeners[event_type] = func
+    def unregister_listener(self, event_type, func): self.listeners.pop(event_type, None)
+    async def run_async(self): pass     # nothing to poll; purely webhook-driven
+    async def kill(self): pass
+```
+
+`_post_callback` resolves the session's callback URL, assigns the next
+`sequence`, signs the body, and enqueues an ordered, retrying POST.
+
+Session→callback mapping is kept in a small in-memory dict keyed by
+`session_id` (acceptable for v1; a turn's callback URL is captured at inbound
+time so replies always have a destination even if config later changes).
+
+---
+
+## 11. Security considerations
+
+- **Inbound route is `AuthType.NONE`** at the framework level (same as all
+  webhook adapters) — the adapter **must** enforce HMAC itself. Default
+  `signature_required: true`.
+- **Timestamp window** (±300s) + idempotency key blunt replay.
+- **SSRF on callback_url**: validate scheme (`https` in prod), and consider an
+  allow-list / block of private CIDRs since LangBot initiates the POST. Document
+  this; enforce in code where feasible.
+- **Secret storage**: secrets live in the bot's `adapter_config` like every
+  other adapter credential; surfaced as `type: string`/secret in the dashboard.
+- **One secret per bot** in v1. Per-caller key rotation / multiple keys is a
+  future enhancement (§13).
+
+---
+
+## 12. Developer Experience (explicit deliverables)
+
+The whole point of a standalone adapter is that **integrating is pleasant**. v1
+ships:
+
+1. **`docs/platforms/http-bot.md`** — task-oriented integration guide:
+   create the bot → copy inbound URL → set secret → stand up a callback
+   endpoint → send first message → handle 1→M.
+2. **Copy-paste curl** for the first message (with a working signing one-liner).
+3. **Reference clients** (≤50 LOC each) in `examples/http-bot/`:
+   `client.py` (push + a Flask/Quart callback receiver) and `client.ts`.
+4. **OpenAPI fragment** `docs/http-bot-openapi.json` describing inbound +
+   callback shapes, so integrators can codegen.
+5. **Local echo recipe**: a one-command callback server that prints every
+   reply, so a developer sees N→1 and 1→M working in under five minutes.
+6. **Postman/Hoppscotch collection** (nice-to-have).
+
+DX acceptance check: *a developer who has never seen LangBot can, from the docs
+alone, push a message and observe a multi-part reply on their callback within
+10 minutes.*
+
+### Quickstart (curl)
+
+```bash
+BOT=https://your-langbot/bots/2f1c....
+SECRET=supersecret
+BODY='{"session_id":"ticket-10293","message":[{"type":"Plain","text":"hello"}]}'
+TS=$(date +%s)
+SIG="sha256=$(printf '%s.%s' "$TS" "$BODY" | openssl dgst -sha256 -hmac "$SECRET" -r | cut -d' ' -f1)"
+curl -sS -X POST "$BOT" \
+  -H "Content-Type: application/json" \
+  -H "X-LB-Timestamp: $TS" \
+  -H "X-LB-Signature: $SIG" \
+  -d "$BODY"
+```
+
+---
+
+## 13. Future work
+
+- **Durable outbound queue** (persist + replay across restarts; exactly-once).
+- **Per-caller API keys** with rotation and scopes (multi-tenant Space usage).
+- **Sync convenience endpoint** (§9) once core is stable.
+- **Server-Sent Events outbound option** for callers that *do* want a stream but
+  not a full duplex socket — single GET, server pushes chunks.
+- **Dashboard "test console"** for `http_bot` (send a message, watch callbacks)
+  mirroring the existing WebSocket debug panel.
+
+---
+
+## 14. Rollout / task breakdown
+
+| # | Task | Touches |
+|---|---|---|
+| 1 | `http_bot.yaml` manifest + icon | `platform/sources/` |
+| 2 | `HttpBotAdapter` (inbound verify, event build, outbound queue) | `platform/sources/http_bot.py` |
+| 3 | Signing helper module (shared) | `platform/sources/` or `utils/` |
+| 4 | i18n strings (en/zh/ja) | adapter yaml + web locale |
+| 5 | Integration docs `docs/platforms/http-bot.md` | `docs/` |
+| 6 | OpenAPI fragment + reference clients | `docs/`, `examples/http-bot/` |
+| 7 | Tests: signature verify, N→1 aggregation, 1→M ordering, retry | `tests/` |
+| 8 | (opt) SSRF guard for callback_url | adapter |
+
+No changes required to: the unified webhook router, the aggregator, the query
+pool, or the pipeline. That is the design's main payoff.
+
+---
+
+## 15. Resolved decisions
+
+1. **Callback URL trust** — **config-only.** The inbound message may not carry a
+   `callback_url`; replies always go to the bot-config URL. Closes the SSRF
+   vector where a leaked inbound secret could redirect replies.
+2. **Session lifecycle** — **`POST /bots/<uuid>/reset`** (body `{session_id,
+   session_type?}`) drops the matching session from the session manager; the
+   next message starts a fresh conversation. Implemented via sub-path routing in
+   `handle_unified_webhook`.
+3. **Group semantics** — for `session_type: group`, `session_id` is the group/
+   launcher id; `sender.id` (and optional `sender.group_name`) identify the
+   member. A Space ticket maps to one `session_id`.
+4. **Backpressure** — bounded per-session outbound queue (maxlen 1000); on
+   overflow the oldest reply is dropped and a warning logged, so a persistently
+   down callback can never exhaust memory.
+
+### Still open / deferred (see §13)
+
+- Durable outbound queue (persist + replay across restarts).
+- Per-caller API keys with rotation/scopes for multi-tenant Space usage.
+- SSE outbound option and a dashboard test console.

docs/VALKEY_SEARCH_INTEGRATION.md

@@ -0,0 +1,171 @@
+# Valkey Search Vector Database Integration
+
+This document describes how to use **Valkey Search** (the search/vector module bundled in
+`valkey/valkey-bundle`) as the vector database backend for LangBot's knowledge base (RAG)
+feature.
+
+## What is Valkey Search?
+
+**Valkey Search** is a module that adds vector similarity search and full-text search to
+[Valkey](https://valkey.io/), the open-source, BSD-licensed in-memory data store forked from
+Redis OSS. It is distributed in the `valkey/valkey-bundle` image alongside other modules
+(JSON, Bloom, LDAP).
+
+LangBot talks to Valkey through the official [`valkey-glide`](https://pypi.org/project/valkey-glide/)
+client (Rust core + async Python wrapper), using its native `ft` (search) command namespace.
+
+### Key Features
+
+- **Vector search**: ANN via HNSW or exact via FLAT, with COSINE / L2 / IP distance metrics
+- **Full-text search**: term, prefix and phrase matching over indexed text fields
+- **Hybrid search**: a metadata/text filter pre-selects candidates, then KNN ranks them
+- **In-memory speed**: vectors and documents are stored as Valkey HASH keys
+- **Auth + TLS**: optional username/password and TLS for production (toB / SaaS) deployments
+
+### Licensing
+
+- Valkey core and the Search module are **BSD-3-Clause**.
+- The `valkey-glide` client is **Apache-2.0**.
+
+Both are compatible with LangBot.
+
+## Installation
+
+Valkey Search support is included automatically on Linux and macOS. The official `valkey-glide`
+client does not currently publish a Windows package, so LangBot skips this optional dependency on
+Windows; LangBot remains usable there, but the Valkey Search backend is unavailable. To install the
+client manually on a supported platform:
+
+```bash
+pip install 'valkey-glide>=2.4.1,<3.0.0'
+```
+
+You also need a running Valkey server with the Search module loaded. The simplest way is the
+bundled image:
+
+```bash
+# Run valkey-bundle (includes the Search module) on host port 6380
+podman run -d --name valkey-test-langbot -p 6380:6379 valkey/valkey-bundle:9.1.0
+# (docker run ... works identically)
+```
+
+`valkey-bundle` ships multi-arch images (linux/amd64 + linux/arm64), so it runs on both CI
+(x86_64) and Apple-silicon dev machines.
+
+## Configuration
+
+Valkey Search is **opt-in and disabled by default** — the default `vdb.use` stays `chroma`,
+so existing single-process deployments are unaffected. To enable it, edit your `config.yaml`:
+
+```yaml
+vdb:
+  use: valkey_search
+  valkey_search:
+    host: 'localhost'
+    port: 6379            # use 6380 if you started the container as shown above
+    db: 0
+    password: ''          # optional (ACL / requirepass) — never logged
+    username: ''          # optional (ACL user)
+    tls: false            # optional (toB / SaaS)
+    index_algorithm: 'HNSW'   # HNSW | FLAT
+    distance_metric: 'COSINE' # COSINE | L2 | IP
+    request_timeout: 5000     # per-request timeout in ms
+```
+
+| Option | Default | Description |
+|--------|---------|-------------|
+| `host` | `localhost` | Valkey host |
+| `port` | `6379` | Valkey port |
+| `db` | `0` | Logical database id |
+| `password` | `''` | Optional auth password (empty = no auth). Never logged. |
+| `username` | `''` | Optional ACL username. Configuring a username without a password fails closed (raises) rather than connecting unauthenticated. |
+| `tls` | `false` | Enable TLS for the connection |
+| `index_algorithm` | `HNSW` | `HNSW` (approximate) or `FLAT` (exact) |
+| `distance_metric` | `COSINE` | `COSINE`, `L2`, or `IP` |
+| `request_timeout` | `5000` | Per-request timeout in milliseconds. The valkey-glide default (250ms) is too low for vector KNN under load; raise it further for remote/cross-AZ Valkey. |
+
+### Connection behavior
+
+The backend uses a **lazy** connection (`lazy_connect=True`): the client is created on first
+use and the connection is deferred to the first command. A misconfigured or unreachable Valkey
+server therefore does **not** block LangBot from booting — knowledge-base operations will error
+at call time instead, and you can recover by switching `vdb.use` back to another backend.
+
+The connection sets a fixed `client_name` of `langbot_vector_client` so it is identifiable in
+`CLIENT LIST` and monitoring dashboards.
+
+## Supported search types
+
+| Type | Behavior |
+|------|----------|
+| `vector` | Pure KNN over the embedding field |
+| `full_text` | Term/phrase match over the indexed `document` text field |
+| `hybrid` | Metadata/text filter **pre-selects** candidates, then KNN ranks them |
+
+### ⚠️ Important: `vector_weight` is NOT honored
+
+Valkey Search hybrid queries follow a **filter-then-KNN** model: the filter (and/or full-text
+clause) narrows the candidate set, and the KNN stage ranks the survivors by vector distance.
+There is **no native weighted score fusion** (unlike, e.g., SeekDB's RRF boost).
+
+For interface compatibility the backend still accepts a `vector_weight` argument, but it is
+**ignored** — passing different weights does not change result ordering. The first time a
+non-default weight is supplied, the backend logs a one-time warning.
+
+If weighted hybrid ranking is needed in the future, it can be added **application-side** (run
+vector KNN and full-text search separately and blend the scores). That is intentionally out of
+scope for this integration.
+
+## Metadata & filtering
+
+Documents are stored as Valkey HASH keys under the prefix `kb:{collection}:{id}` with fields:
+
+- `vector` — the embedding, packed as little-endian FLOAT32
+- `document` — the raw text (indexed as TEXT for full-text/hybrid search)
+- `file_id` — promoted to an indexed TAG field so it is filterable
+- `metadata_json` — the full metadata dict, preserved verbatim as JSON
+
+Only **indexed** fields are filterable. Currently that is `file_id`. Filters referencing
+non-indexed metadata keys are dropped with a warning (the same pragmatism used by the Milvus
+and pgvector backends). All other metadata still round-trips intact via `metadata_json`.
+
+Supported filter operators (canonical Chroma-style `where` syntax): `$eq`, `$ne`, `$gt`,
+`$gte`, `$lt`, `$lte`, `$in`, `$nin`. Multiple top-level keys are AND-ed.
+
+## Testing
+
+Unit tests (filter mapping, float32 packing, reply parsing, import guard) run in the fast lane
+with no server:
+
+```bash
+uv run pytest tests/unit_tests/vector/test_valkey_search_filter.py -q
+```
+
+Integration tests are **slow-gated** on `TEST_VALKEY_URL` and require a running server:
+
+```bash
+podman run -d --name valkey-test-langbot -p 6380:6379 valkey/valkey-bundle:9.1.0
+TEST_VALKEY_URL=valkey://localhost:6380 \
+    uv run pytest tests/integration/vector/test_valkey_search.py -m slow -q
+```
+
+The default upstream fast CI lane (`-m "not slow"`) skips these, matching the existing
+PostgreSQL migration-test precedent.
+
+## Troubleshooting
+
+| Symptom | Cause / fix |
+|---------|-------------|
+| Tests skip with "Valkey Search module not available" | The server is plain Valkey without the Search module. Use the `valkey/valkey-bundle` image. |
+| `ConnectionError` at call time | Check `host`/`port`/auth; remember `lazy_connect` defers errors to first use. |
+| Empty search results right after insert | The Search indexer is asynchronous; results become visible within a short delay. The integration tests poll/retry to account for this. |
+| Hybrid ranking ignores `vector_weight` | Expected — see the caveat above. |
+
+## Production considerations
+
+- **Cluster mode**: Valkey Search in cluster mode uses an additional coordination port. This
+  integration targets standalone mode; cluster support is a future consideration.
+- **Persistence**: configure Valkey RDB/AOF persistence if the knowledge base must survive
+  restarts; otherwise an in-memory store is ephemeral.
+- **Security**: set `password`/`username` and `tls: true` for any non-local deployment.
+  Credentials are never written to logs.

docs/http-bot-openapi.json

@@ -0,0 +1,198 @@
+{
+  "openapi": "3.0.3",
+  "info": {
+    "title": "LangBot HTTP Bot Adapter",
+    "version": "1.0.0",
+    "description": "Server-to-server HTTP integration for a LangBot pipeline. Inbound messages are POSTed to the unified webhook route; replies are delivered to a configured callback URL (one POST per reply part). All requests are HMAC-SHA256 signed. See docs/platforms/http-bot.md."
+  },
+  "paths": {
+    "/bots/{bot_uuid}": {
+      "post": {
+        "summary": "Push a message into the pipeline (fire-and-collect)",
+        "description": "Returns 202 immediately. Replies arrive asynchronously on the configured callback URL. Reuse the same session_id within the aggregation window to merge multiple messages into one turn (N->1).",
+        "parameters": [
+          { "$ref": "#/components/parameters/BotUuid" },
+          { "$ref": "#/components/parameters/Timestamp" },
+          { "$ref": "#/components/parameters/Signature" },
+          { "$ref": "#/components/parameters/Idempotency" }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": { "application/json": { "schema": { "$ref": "#/components/schemas/InboundMessage" } } }
+        },
+        "responses": {
+          "202": {
+            "description": "Accepted (queued for the pipeline)",
+            "content": { "application/json": { "schema": { "$ref": "#/components/schemas/AcceptedResponse" } } }
+          },
+          "400": { "$ref": "#/components/responses/Error" },
+          "401": { "$ref": "#/components/responses/Error" },
+          "409": { "$ref": "#/components/responses/Error" },
+          "413": { "$ref": "#/components/responses/Error" }
+        }
+      }
+    },
+    "/bots/{bot_uuid}/sync": {
+      "post": {
+        "summary": "Push a message and wait for the collapsed reply",
+        "description": "Blocking convenience mode. Waits for is_final and returns all reply parts collapsed into one array. Lossy (no sequence/streaming). One in-flight sync per session_id.",
+        "parameters": [
+          { "$ref": "#/components/parameters/BotUuid" },
+          { "$ref": "#/components/parameters/Timestamp" },
+          { "$ref": "#/components/parameters/Signature" }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": { "application/json": { "schema": { "$ref": "#/components/schemas/InboundMessage" } } }
+        },
+        "responses": {
+          "200": {
+            "description": "The collapsed reply",
+            "content": { "application/json": { "schema": { "$ref": "#/components/schemas/SyncResponse" } } }
+          },
+          "400": { "$ref": "#/components/responses/Error" },
+          "401": { "$ref": "#/components/responses/Error" }
+        }
+      }
+    },
+    "/bots/{bot_uuid}/reset": {
+      "post": {
+        "summary": "Reset a session's conversation",
+        "parameters": [
+          { "$ref": "#/components/parameters/BotUuid" },
+          { "$ref": "#/components/parameters/Timestamp" },
+          { "$ref": "#/components/parameters/Signature" }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": {
+                "type": "object",
+                "required": ["session_id"],
+                "properties": {
+                  "session_id": { "type": "string" },
+                  "session_type": { "type": "string", "enum": ["person", "group"] }
+                }
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": { "description": "Reset done" },
+          "400": { "$ref": "#/components/responses/Error" },
+          "401": { "$ref": "#/components/responses/Error" }
+        }
+      }
+    }
+  },
+  "components": {
+    "parameters": {
+      "BotUuid": {
+        "name": "bot_uuid", "in": "path", "required": true,
+        "schema": { "type": "string", "format": "uuid" }
+      },
+      "Timestamp": {
+        "name": "X-LB-Timestamp", "in": "header", "required": true,
+        "description": "Unix seconds; rejected if more than +/-300s from server time.",
+        "schema": { "type": "string" }
+      },
+      "Signature": {
+        "name": "X-LB-Signature", "in": "header", "required": true,
+        "description": "sha256=<hex> of HMAC-SHA256(secret, \"{timestamp}.\" + raw_body).",
+        "schema": { "type": "string" }
+      },
+      "Idempotency": {
+        "name": "X-LB-Idempotency-Key", "in": "header", "required": false,
+        "description": "Dedup key; a repeat within the dedup window returns 409.",
+        "schema": { "type": "string" }
+      }
+    },
+    "schemas": {
+      "Segment": {
+        "type": "object",
+        "required": ["type"],
+        "properties": {
+          "type": { "type": "string", "enum": ["Plain", "Image", "Voice", "File", "At", "Quote"] },
+          "text": { "type": "string", "description": "For type=Plain." },
+          "url": { "type": "string", "description": "For media types." },
+          "base64": { "type": "string", "description": "For media types (data URI or raw base64)." }
+        }
+      },
+      "InboundMessage": {
+        "type": "object",
+        "required": ["session_id", "message"],
+        "properties": {
+          "session_id": { "type": "string", "description": "Caller-defined; maps 1:1 to a LangBot session." },
+          "session_type": { "type": "string", "enum": ["person", "group"], "default": "person" },
+          "sender": {
+            "type": "object",
+            "properties": {
+              "id": { "type": "string" },
+              "name": { "type": "string" },
+              "group_name": { "type": "string", "description": "For session_type=group." }
+            }
+          },
+          "message": { "type": "array", "items": { "$ref": "#/components/schemas/Segment" } }
+        }
+      },
+      "AcceptedResponse": {
+        "type": "object",
+        "properties": {
+          "code": { "type": "integer", "example": 0 },
+          "msg": { "type": "string", "example": "accepted" },
+          "data": {
+            "type": "object",
+            "properties": {
+              "session_id": { "type": "string" },
+              "accepted_message_id": { "type": "string", "example": "in_01H..." },
+              "aggregating": { "type": "boolean" }
+            }
+          }
+        }
+      },
+      "SyncResponse": {
+        "type": "object",
+        "properties": {
+          "code": { "type": "integer", "example": 0 },
+          "msg": { "type": "string", "example": "ok" },
+          "data": {
+            "type": "object",
+            "properties": {
+              "session_id": { "type": "string" },
+              "reply_to": { "type": "string" },
+              "message": { "type": "array", "items": { "$ref": "#/components/schemas/Segment" } }
+            }
+          }
+        }
+      },
+      "Callback": {
+        "type": "object",
+        "description": "Delivered by LangBot to your callback_url, one POST per reply part. Signed with the outbound secret.",
+        "properties": {
+          "session_id": { "type": "string" },
+          "reply_to": { "type": "string", "description": "The accepted_message_id this answers." },
+          "sequence": { "type": "integer", "description": "1-based ordinal within the turn." },
+          "is_final": { "type": "boolean", "description": "True on the last part of the turn." },
+          "stream": { "type": "boolean" },
+          "message": { "type": "array", "items": { "$ref": "#/components/schemas/Segment" } },
+          "timestamp": { "type": "string", "format": "date-time" }
+        }
+      },
+      "ErrorEnvelope": {
+        "type": "object",
+        "properties": {
+          "code": { "type": "integer", "example": 40101 },
+          "msg": { "type": "string", "example": "invalid signature: signature_mismatch" },
+          "data": { "nullable": true }
+        }
+      }
+    },
+    "responses": {
+      "Error": {
+        "description": "Error envelope",
+        "content": { "application/json": { "schema": { "$ref": "#/components/schemas/ErrorEnvelope" } } }
+      }
+    }
+  }
+}

docs/platforms/http-bot.md

@@ -0,0 +1,256 @@
+# HTTP Bot Adapter — Integration Guide
+
+Integrate **any backend system** with a LangBot pipeline over plain HTTP. Push
+messages in via a signed webhook; receive replies on a callback URL. No
+long-lived connection, full support for message **aggregation** (many inbound
+messages merged into one turn) and **multi-part replies** (one turn → many
+outbound messages).
+
+This is the right adapter for **server-to-server** integrations — ticketing
+systems, CRMs, internal tools, custom web backends. (For an in-browser,
+real-time chat widget, use the embeddable Web Page Bot instead.)
+
+> **5-minute goal:** stand up a callback receiver, send a message, and watch a
+> multi-part reply arrive — using the reference client in
+> [`examples/http-bot/`](../../examples/http-bot/).
+
+---
+
+## 1. Mental model
+
+```
+Your backend  ──(1) POST signed message──►  LangBot   /bots/<bot_uuid>
+                                            (pipeline runs: aggregate → think → reply)
+Your callback ◄─(2) POST signed reply(s)──  LangBot   one POST per reply part
+```
+
+- **(1) Inbound** is *fire-and-collect*: LangBot answers `202 Accepted`
+  immediately and does **not** return the pipeline result on that response.
+- **(2) Outbound** replies arrive later as separate signed POSTs to your
+  `callback_url`. A single turn may produce **several** callbacks (e.g. a tool
+  call narration followed by the final answer).
+- Everything is keyed by a **`session_id` you choose** (e.g. a ticket number).
+  Each `session_id` maps to one isolated LangBot conversation.
+
+---
+
+## 2. Create the bot
+
+1. In the LangBot dashboard, add a bot and choose the **HTTP Bot** platform.
+2. Fill in the config:
+
+   | Field | Required | Notes |
+   |---|---|---|
+   | **Inbound Signing Secret** | yes | Your backend signs inbound requests with this. |
+   | **Outbound Callback URL** | yes | Where LangBot POSTs replies. **Config-only** — cannot be overridden per message (SSRF protection). |
+   | **Outbound Signing Secret** | no | LangBot signs callbacks with this; defaults to the inbound secret. |
+   | **Default Session Type** | no | `person` (default) or `group`. |
+   | **Require Inbound Signature** | no | Keep `true` in production. |
+   | **Callback Timeout / Max Retries** | no | Defaults: 15s, 3 retries. |
+
+3. Bind the bot to a **pipeline** and **enable** it.
+4. Copy the **Inbound Webhook URL** shown in the config — it looks like
+   `https://your-langbot/bots/<bot_uuid>`.
+
+---
+
+## 3. The signature scheme
+
+Both directions use the same dependency-free HMAC-SHA256 scheme:
+
+```
+signing_string = "{timestamp}." + raw_body_bytes
+signature      = "sha256=" + hex(HMAC_SHA256(secret, signing_string))
+```
+
+Sent as headers:
+
+| Header | Meaning |
+|---|---|
+| `X-LB-Timestamp` | Unix seconds. Rejected if more than **±300s** from server time. |
+| `X-LB-Signature` | `sha256=<hex>` over `"{timestamp}." + body`. |
+| `X-LB-Idempotency-Key` | *(optional, inbound)* dedup key; retries with the same key return `409`. |
+
+Verify outbound callbacks the same way, using the **outbound** secret (or the
+inbound secret if you left it blank).
+
+A six-line reference implementation is in `examples/http-bot/client.py`
+(`sign()` / `verify()`); a Node/TS version is in `client.ts`.
+
+---
+
+## 4. Send your first message (curl)
+
+```bash
+BOT="https://your-langbot/bots/<bot_uuid>"
+SECRET="your-inbound-secret"
+BODY='{"session_id":"ticket-10293","message":[{"type":"Plain","text":"Export keeps failing on the dashboard."}]}'
+TS=$(date +%s)
+SIG="sha256=$(printf '%s.%s' "$TS" "$BODY" | openssl dgst -sha256 -hmac "$SECRET" -r | cut -d' ' -f1)"
+
+curl -sS -X POST "$BOT" \
+  -H "Content-Type: application/json" \
+  -H "X-LB-Timestamp: $TS" \
+  -H "X-LB-Signature: $SIG" \
+  -d "$BODY"
+# -> 202 {"code":0,"msg":"accepted","data":{"session_id":"ticket-10293","accepted_message_id":"in_...","aggregating":true}}
+```
+
+The reply(s) will be POSTed to your configured callback URL shortly after.
+
+---
+
+## 5. Inbound request format
+
+`POST /bots/{bot_uuid}`
+
+```jsonc
+{
+  "session_id": "ticket-10293",     // REQUIRED. Your stable id. Maps 1:1 to a LangBot session.
+  "session_type": "person",         // optional: "person" | "group"; default from config
+  "sender": {                       // optional metadata, surfaced to the pipeline/plugins
+    "id": "user-5567",
+    "name": "Alice"
+  },
+  "message": [                      // REQUIRED. A LangBot MessageChain (array of segments).
+    { "type": "Plain", "text": "Export keeps failing on the dashboard." },
+    { "type": "Image", "url": "https://example.com/screenshot.png" }
+  ]
+}
+```
+
+**Message segments.** Text uses `{"type":"Plain","text":"..."}`. Images use
+`{"type":"Image","url":"..."}` (or `base64`). Other supported types: `Voice`,
+`File`, `At`, `Quote`.
+
+> Note: the callback URL is **not** accepted in the body — it is taken only from
+> bot config. This is deliberate (prevents an attacker who obtains the inbound
+> secret from redirecting replies to an arbitrary host).
+
+### Aggregation (N → 1)
+
+If your pipeline has **message aggregation** enabled, send several messages with
+the **same `session_id`** within the aggregation window and they are merged into
+**one** pipeline turn. No special flag — just reuse the `session_id`.
+
+---
+
+## 6. Outbound callback format
+
+LangBot POSTs each reply part to your `callback_url`:
+
+```jsonc
+{
+  "session_id": "ticket-10293",     // echoes the inbound session
+  "reply_to": "in_01H...",          // the accepted_message_id this answers
+  "sequence": 1,                    // 1-based ordinal within this turn
+  "is_final": false,                // true on the last part of the turn
+  "stream": false,                  // true for streamed chunks
+  "message": [ { "type": "Plain", "text": "Looking into it…" } ],
+  "timestamp": "2026-06-22T09:00:01Z"
+}
+```
+
+Your endpoint should return `2xx` quickly. Non-2xx / timeout → LangBot retries
+with exponential backoff (up to `callback_max_retries`).
+
+### Multi-part replies (1 → M)
+
+One turn may emit multiple callbacks, delivered **in `sequence` order** for a
+given session:
+
+```
+seq=1 is_final=false  "Checking your export logs…"
+seq=2 is_final=false  "Found 2 failed exports."
+seq=3 is_final=true   "Fixed — please try again."
+```
+
+Stitch by `session_id` + `sequence`; the turn is complete when
+`is_final: true` arrives.
+
+---
+
+## 7. Reset a session
+
+Start a fresh conversation for a `session_id` (drops history):
+
+```
+POST /bots/{bot_uuid}/reset
+{ "session_id": "ticket-10293", "session_type": "person" }
+→ 200 { "code":0, "msg":"reset", "data": { "session_id":"ticket-10293", "removed": true } }
+```
+
+Signed exactly like an inbound message.
+
+---
+
+## 8. Synchronous convenience mode
+
+If you don't need streaming/multi-part and just want one reply back on the same
+HTTP call, POST to `/sync`. LangBot waits for the turn to finish and returns all
+parts **collapsed** into one array:
+
+```
+POST /bots/{bot_uuid}/sync
+{ "session_id": "ticket-10293", "message": [ { "type":"Plain", "text":"hi" } ] }
+→ 200 { "code":0, "msg":"ok",
+        "data": { "session_id":"ticket-10293", "reply_to":"in_...",
+                  "message": [ {"type":"Plain","text":"..."}, ... ] } }
+```
+
+This is **lossy** (you lose `sequence` / streaming boundaries) and blocks up to
+`callback_timeout × 4` seconds. Prefer the callback model for anything
+real-time or multi-part. Only one in-flight `/sync` per `session_id`.
+
+---
+
+## 9. Error envelope
+
+```jsonc
+{ "code": 40101, "msg": "invalid signature: signature_mismatch", "data": null }
+```
+
+| HTTP | code | meaning |
+|---|---|---|
+| 202 | 0 | accepted |
+| 400 | 40001 | malformed body / missing `session_id` or `message` |
+| 401 | 40101 | bad/expired signature |
+| 409 | 40901 | duplicate idempotency key |
+| 413 | 41301 | message too large (>1 MiB) |
+| 500 | 50001 | internal error |
+
+---
+
+## 10. Try it end-to-end in 5 minutes
+
+```bash
+cd examples/http-bot
+pip install flask requests
+
+# Terminal 1 — your callback receiver (point the bot's callback_url here, e.g. via a tunnel):
+python client.py serve --port 8900 --secret SHARED_SECRET
+
+# Terminal 2 — push a message:
+python client.py push \
+  --url https://your-langbot/bots/<bot_uuid> \
+  --secret SHARED_SECRET \
+  --session ticket-1 \
+  --text "hello"
+```
+
+Watch Terminal 1 print each reply part (`[part ]` / `[FINAL]`) with its
+sequence number — that's 1→M working, signatures verified.
+
+A machine-readable contract is in
+[`docs/http-bot-openapi.json`](../http-bot-openapi.json).
+
+---
+
+## 11. Security checklist
+
+- Keep **Require Inbound Signature** on in production.
+- Use **HTTPS** callback URLs; the URL is config-only (no per-message override).
+- Treat the secrets like passwords; rotate via the dashboard.
+- The inbound route is unauthenticated at the framework level **by design** —
+  security comes entirely from the HMAC signature, so never disable it on a
+  public deployment.

docs/review/mcp-resources-pr-2215-review.md

@@ -0,0 +1,196 @@
+# MCP Resources PR #2215 Review
+
+> 更新日期: 2026-06-29
+> 分支: `mcp_resources`
+> PR: langbot-app/LangBot#2215
+> 主题: MCP Resources 在 LangBot 中的产品价值、AgentRunner 集成方式与后续架构方向
+
+## 结论
+
+PR #2215 对 LangBot 有明确价值：它补齐了 MCP 协议中 Resources 这一重要能力，让 MCP server 不再只暴露 tools，也可以暴露文档、代码片段、配置、日志、图片等上下文资源。管理端可以发现和预览资源，Agent 也可以通过当前实现按需列出和读取资源。
+
+但当前 AgentRunner 层的接入方式更接近一个可用的第一阶段方案，而不是最终架构。现在 MCP Resources 被包装成两个 synthetic tools：
+
+- `langbot_mcp_list_resources`
+- `langbot_mcp_read_resource`
+
+这让模型可以通过 function calling 主动探索资源，落地成本低，也复用了已有 `ToolManager` / `LocalAgentRunner` 的工具调用链路。不过从 MCP 规范和主流实现来看，Resources 更适合作为一种一等上下文来源，而不是长期隐藏在工具列表里。
+
+建议保留当前 synthetic tools 作为探索能力，同时把后续主线设计调整为：MCP Resources 是 pipeline / conversation / message 级别可选择、可固定、可审计的上下文输入。
+
+## 当前实现判断
+
+当前 AgentRunner 集成路径如下：
+
+```text
+Pipeline 绑定 MCP server
+  -> query.variables['_pipeline_bound_mcp_servers']
+  -> Preproc 为 local-agent 加载工具
+  -> ToolManager.get_all_tools()
+  -> MCPLoader 注入 synthetic resource tools
+  -> LocalAgentRunner 将工具 schema 传给模型
+  -> 模型发起 list/read tool call
+  -> ToolManager.execute_func_call()
+  -> MCPLoader 调 MCP session.list_resources/read_resource
+  -> tool result 回灌给模型
+```
+
+这个路径的优点是：
+
+- 复用现有工具调用机制，改动范围小。
+- Agent 可以按需探索资源，不需要每轮预先读取所有资源。
+- 可以沿用 pipeline 绑定的 MCP server 范围，避免越权读取未绑定 server。
+- 对已有 MCP tools 行为影响较小。
+
+主要问题是：
+
+- Resources 在语义上被降级成 tools，和 MCP 规范里的 resource primitive 不完全一致。
+- 模型必须先理解并主动调用 `list/read`，资源不会自然成为上下文。
+- pipeline 不能配置“默认携带某些资源”或“本轮附加某些资源”。
+- UI 资源 tab 目前是管理端预览能力，和 Agent 上下文选择没有打通。
+- 对 blob、图片、大文件、结构化资源的处理还比较粗糙。
+- 缺少 resource templates、订阅更新、缓存、chunk、token budget、trace 与审计策略。
+
+## 主流项目做法
+
+### MCP 官方规范
+
+MCP Resources 是 server 暴露上下文数据的协议能力。规范没有要求 resources 必须以 tool call 形式给模型使用，而是把如何选择、过滤、读取和纳入上下文交给 Host application。
+
+这意味着比较正统的集成方式是：LangBot 作为 Host，在 pipeline、会话或消息层决定哪些 resources 进入模型上下文。
+
+参考: https://modelcontextprotocol.io/specification/2025-06-18/server/resources
+
+### VS Code Copilot
+
+VS Code 把 MCP Resources 做成 chat context 的一部分。用户可以通过 `Add Context > MCP Resources` 或命令浏览 MCP resources，并把选中的资源附加到一次 chat request。
+
+这是目前最值得 LangBot 参考的产品形态：资源不是模型工具，而是用户和 Host 可控的上下文附件。
+
+参考: https://code.visualstudio.com/docs/agent-customization/mcp-servers
+
+### Anthropic SDK
+
+Anthropic 的 client-side MCP helpers 提供资源读取和转换能力，例如把 MCP resource 转为 Claude message content 或 file。也就是说，应用先读取 resource，再显式放进模型消息。
+
+这同样是 application-owned context injection，而不是把 resource 伪装成模型工具。
+
+参考: https://platform.claude.com/docs/en/agents-and-tools/mcp-connector
+
+### LangChain MCP Adapters
+
+LangChain 把 MCP Resources 更像 data loader / document input 来处理，可以把资源加载成 `Blob`，再进入 LangChain 的文档、检索或上下文处理链路。
+
+这说明 Resources 很适合作为知识源、文档源或上下文源，而不只是即时工具调用。
+
+参考: https://docs.langchain.com/oss/python/langchain/mcp
+
+### OpenAI Agents SDK
+
+OpenAI Agents SDK 主路径仍偏向 MCP tools，但底层 MCP server API 已经有 `list_resources`、`list_resource_templates`、`read_resource` 等能力。当前形态说明 resources 是 client 能力，但并未默认变成 agent-visible tools。
+
+参考: https://openai.github.io/openai-agents-python/mcp/
+
+### Cline
+
+Cline 会拉取 MCP tools、resources、resourceTemplates、prompts，并通过类似 `access_mcp_resource` 的内置访问方式让模型读取资源。这个方向和 LangBot 当前 synthetic tools 比较接近。
+
+这种模式适合让 Agent 自主探索，但更像 Host 自定义的模型访问协议，不应成为唯一集成路径。
+
+参考: https://github.com/cline/cline/blob/main/src/services/mcp/McpHub.ts
+
+## 建议架构方向
+
+### 1. 保留探索型工具
+
+保留当前两个 synthetic tools：
+
+- `langbot_mcp_list_resources`
+- `langbot_mcp_read_resource`
+
+它们适合处理“用户没有显式选择资源，但 Agent 判断需要探索 MCP server 上下文”的场景。后续可以优化工具描述、返回格式、资源大小限制和错误信息。
+
+### 2. 增加一等 Resource Context
+
+新增一个 Host 层资源上下文概念，例如：
+
+```text
+PipelineResourceBinding
+ConversationResourceAttachment
+MessageResourceAttachment
+```
+
+Preproc 或独立的 `ResourceContextProvider` 在模型调用前读取这些资源，按 MIME 类型、大小、token budget 转为模型可消费的上下文。
+
+### 3. 打通 UI 与 Agent 上下文
+
+当前 MCP 详情页的 Resources tab 可以继续作为资源发现和预览入口。建议增加操作：
+
+- 添加到本轮上下文
+- 固定到当前 pipeline
+- 固定到当前 bot / conversation
+- 查看资源读取历史和错误
+
+这样 UI 资源管理能力才能真正影响 Agent 行为。
+
+### 4. 支持 resource templates
+
+MCP resource templates 允许 server 暴露参数化资源，例如：
+
+```text
+repo://{owner}/{repo}/file/{path}
+log://{service}/{date}
+```
+
+LangBot 后续应支持模板发现、参数填写、实例化和绑定。否则只能使用静态 resources，覆盖面会受限。
+
+### 5. 增加资源处理策略
+
+建议补齐：
+
+- 文本资源 token budget 与截断策略。
+- 大文件 chunk 与摘要策略。
+- 图片/blob 的模型能力判断与 fallback。
+- MIME 类型白名单与安全限制。
+- 缓存与过期策略。
+- `resources/listChanged` 或订阅更新。
+- resource read trace，便于审计 Agent 读取了什么上下文。
+
+## 推荐落地顺序
+
+### Phase 1: 完成当前 PR 可用性
+
+- 保留 synthetic tools。
+- 明确文档说明当前 Agent 集成是 tool-mediated。
+- 完善资源工具描述，降低模型误用概率。
+- 给 read/list 增加大小限制和更清晰的 MIME 处理。
+- 前端 Resources tab 与 Tools tab 分离，保持管理端清晰。
+
+### Phase 2: 做 Host-owned context attachments
+
+- 在 pipeline 或 conversation 层新增 resource attachment 配置。
+- Preproc 读取已绑定 resources，注入模型上下文。
+- UI 支持“添加到上下文 / 固定到 pipeline”。
+- 记录每轮实际注入的 resource URI 和 token 消耗。
+
+### Phase 3: 做完整 MCP Resources 能力
+
+- 支持 resource templates。
+- 支持资源订阅更新。
+- 支持 chunk、summary、RAG 化接入。
+- 为 DifyAgentRunner、LocalAgentRunner 等不同 runner 定义统一资源上下文接口。
+
+## 最终建议
+
+PR #2215 可以作为 MCP Resources 的第一阶段实现继续推进。它让 LangBot 快速拥有“资源发现、预览、按需读取”的闭环，也给 Agent 探索资源提供了可运行路径。
+
+但在正式设计上，不建议把 “Resources == Tools” 固化为长期抽象。LangBot 更应该把 MCP Resources 定位为上下文来源，与 tools、prompts、knowledge base 并列：
+
+```text
+Tools      -> Agent 可以执行的动作
+Resources  -> Host/用户/Agent 可以选择的上下文数据
+Prompts    -> 可复用的任务模板
+Knowledge  -> 可检索、可索引的长期知识
+```
+
+这样既尊重 MCP 协议语义，也能让 LangBot 在 Agent 工作流、企业知识接入和多 MCP server 管理上走得更稳。

examples/http-bot/README.md

@@ -0,0 +1,75 @@
+# HTTP Bot Adapter — Reference Clients
+
+> English | [中文](./README.zh.md)
+
+Minimal, dependency-light clients for the LangBot **HTTP Bot** platform adapter.
+They show the whole loop: signing a request, pushing a message, and receiving
+multi-part replies on a callback endpoint.
+
+Full guide: [docs.langbot.app — HTTP Bot](https://docs.langbot.app/en/usage/platforms/http-bot).
+Machine-readable contract: [`docs/http-bot-openapi.json`](../../docs/http-bot-openapi.json).
+
+## Files
+
+| File | What it is |
+|---|---|
+| `playground.py` | **Interactive browser debug console** — a single-file web app you open in a browser to chat with a running `http_bot` bot and watch signing / 202 / callbacks live. Zero extra deps. |
+| `client.py` | Python client + Flask callback receiver (`pip install flask requests`). |
+| `client.ts` | TypeScript/Node 18+ client + callback receiver, **zero deps** (`npx tsx client.ts`). |
+
+All three implement the identical HMAC-SHA256 scheme
+(`sha256=hex(HMAC(secret, "{timestamp}." + body))`) — verified byte-for-byte
+against the adapter.
+
+## Interactive playground (recommended first run)
+
+A self-contained web console: type a message in your browser, it is signed and
+POSTed to a **running** `http_bot` bot, and the bot's replies stream back into
+the page — with a debug panel showing the signature, the `202` ack, and each
+callback's `sequence` / signature-verification.
+
+```bash
+# From the LangBot repo root, with the backend already running:
+PUBLIC_IP=<your-host-ip> ./.venv/bin/python examples/http-bot/playground.py
+# then open  http://<your-host-ip>:8920/
+```
+
+On startup it reads the LangBot API key + the `http_bot` bot from
+`data/langbot.db`, and configures that bot (inbound/outbound secret +
+`callback_url`) to point back at itself via the LangBot API — the bot reloads
+live, no restart needed. Requirements: an enabled `http_bot` bot bound to a
+working pipeline, and port `8920` reachable from your browser.
+
+Env knobs: `PUBLIC_IP` (default `127.0.0.1`), `PLAYGROUND_PORT` (default `8920`).
+
+## Headless clients
+
+```bash
+# Python — Terminal 1: callback receiver (your callback_url target)
+python client.py serve --port 8900 --secret SHARED_SECRET
+
+# Python — Terminal 2: push a message
+python client.py push --url https://your-langbot/bots/<BOT_UUID> \
+    --secret SHARED_SECRET --session ticket-1 --text "hello"
+
+# blocking sync mode
+python client.py sync  --url https://your-langbot/bots/<BOT_UUID> \
+    --secret SHARED_SECRET --session ticket-1 --text "hello"
+
+# reset a session
+python client.py reset --url https://your-langbot/bots/<BOT_UUID> \
+    --secret SHARED_SECRET --session ticket-1
+```
+
+```bash
+# TypeScript (Node 18+)
+npx tsx client.ts serve 8900 SHARED_SECRET
+npx tsx client.ts push  https://your-langbot/bots/<BOT_UUID> SHARED_SECRET ticket-1 "hello"
+```
+
+When the bot replies, the receiver prints each part with its `sequence` and an
+`[FINAL]` marker on the last one — that's the 1→M multi-reply model in action.
+
+> The bot's `callback_url` must be reachable from LangBot. For local testing,
+> expose your receiver with a tunnel (cloudflared / ngrok) and set that URL in
+> the bot config.

examples/http-bot/README.zh.md

@@ -0,0 +1,71 @@
+# HTTP Bot 适配器 —— 参考客户端
+
+> [English](./README.md) | 中文
+
+面向 LangBot **HTTP Bot** 平台适配器的极简、低依赖客户端示例。
+它们完整展示了整条链路:对请求签名、推送一条消息、在回调端点接收
+1→M 的多段回复。
+
+完整指南:[docs.langbot.app —— HTTP Bot](https://docs.langbot.app/zh/usage/platforms/http-bot)。
+机器可读的接口契约:[`docs/http-bot-openapi.json`](../../docs/http-bot-openapi.json)。
+
+## 文件清单
+
+| 文件 | 是什么 |
+|---|---|
+| `playground.py` | **浏览器交互式调试台** —— 单文件 Web 应用,在浏览器里和一个运行中的 `http_bot` bot 对话,实时观察签名 / 202 / 回调。零额外依赖。 |
+| `client.py` | Python 客户端 + Flask 回调接收端(`pip install flask requests`)。 |
+| `client.ts` | TypeScript/Node 18+ 客户端 + 回调接收端,**零依赖**(`npx tsx client.ts`)。 |
+
+三者实现完全一致的 HMAC-SHA256 签名方案
+(`sha256=hex(HMAC(secret, "{timestamp}." + body))`)—— 已与适配器逐字节比对验证。
+
+## 交互式 playground(推荐先跑这个)
+
+一个自包含的 Web 控制台:在浏览器里输入消息,它会被签名并 POST 给一个
+**运行中**的 `http_bot` bot,bot 的回复会流式回到页面上 —— 调试面板会显示
+签名、`202` 确认,以及每条回调的 `sequence` / 签名验证结果。
+
+```bash
+# 在 LangBot 仓库根目录、后端已启动的前提下:
+PUBLIC_IP=<你的主机IP> ./.venv/bin/python examples/http-bot/playground.py
+# 然后打开  http://<你的主机IP>:8920/
+```
+
+启动时它会从 `data/langbot.db` 读取 LangBot API key 和 `http_bot` bot,
+并通过 LangBot API 把该 bot 配好(入站/出站密钥 + `callback_url`)指回自己 ——
+bot 会热加载,无需重启。前提:有一个已启用、绑定了可用 pipeline 的
+`http_bot` bot,且端口 `8920` 能从你的浏览器访问到。
+
+可调环境变量:`PUBLIC_IP`(默认 `127.0.0.1`)、`PLAYGROUND_PORT`(默认 `8920`)。
+
+## 无头客户端
+
+```bash
+# Python —— 终端 1:回调接收端(你的 callback_url 指向它)
+python client.py serve --port 8900 --secret SHARED_SECRET
+
+# Python —— 终端 2:推送一条消息
+python client.py push --url https://your-langbot/bots/<BOT_UUID> \
+    --secret SHARED_SECRET --session ticket-1 --text "hello"
+
+# 阻塞式同步模式
+python client.py sync  --url https://your-langbot/bots/<BOT_UUID> \
+    --secret SHARED_SECRET --session ticket-1 --text "hello"
+
+# 重置一个会话
+python client.py reset --url https://your-langbot/bots/<BOT_UUID> \
+    --secret SHARED_SECRET --session ticket-1
+```
+
+```bash
+# TypeScript(Node 18+)
+npx tsx client.ts serve 8900 SHARED_SECRET
+npx tsx client.ts push  https://your-langbot/bots/<BOT_UUID> SHARED_SECRET ticket-1 "hello"
+```
+
+当 bot 回复时,接收端会逐条打印,带上各自的 `sequence`,并在最后一条标记
+`[FINAL]` —— 这就是 1→M 多段回复模型的实际效果。
+
+> bot 的 `callback_url` 必须能从 LangBot 访问到。本地测试时,可用隧道
+> (cloudflared / ngrok)把你的接收端暴露出去,并把那个 URL 填进 bot 配置。

examples/http-bot/client.py

@@ -0,0 +1,167 @@
+#!/usr/bin/env python3
+"""LangBot HTTP Bot adapter — reference client (Python).
+
+Two things in one file:
+
+1. ``push()`` / ``push_sync()`` — send a message into a LangBot ``http_bot`` bot.
+2. A tiny Flask callback receiver that verifies signatures and prints replies,
+   so you can watch N->1 aggregation and 1->M multi-reply working live.
+
+Usage
+-----
+    pip install flask requests
+
+    # Terminal 1 — start the callback receiver (this is your callback_url):
+    python client.py serve --port 8900 --secret SHARED_SECRET
+
+    # Terminal 2 — push a message (async; reply lands on the receiver):
+    python client.py push \
+        --url   https://your-langbot/bots/<BOT_UUID> \
+        --secret SHARED_SECRET \
+        --session ticket-10293 \
+        --text "Export keeps failing on the dashboard."
+
+    # Or push and block for the collapsed reply (sync convenience mode):
+    python client.py sync --url https://your-langbot/bots/<BOT_UUID> \
+        --secret SHARED_SECRET --session ticket-10293 --text "hi"
+
+The signing scheme is HMAC-SHA256 over ``"{timestamp}." + raw_body``; see
+``sign()`` below — it is intentionally tiny and easy to port.
+"""
+
+from __future__ import annotations
+
+import argparse
+import hashlib
+import hmac
+import json
+import sys
+import time
+import uuid
+
+HEADER_TIMESTAMP = 'X-LB-Timestamp'
+HEADER_SIGNATURE = 'X-LB-Signature'
+HEADER_IDEMPOTENCY = 'X-LB-Idempotency-Key'
+REPLAY_WINDOW = 300
+
+
+def sign(secret: str, body: bytes, timestamp: int | None = None) -> tuple[str, str]:
+    """Return (timestamp, signature) for *body*."""
+    ts = str(timestamp if timestamp is not None else int(time.time()))
+    mac = hmac.new(secret.encode(), f'{ts}.'.encode() + body, hashlib.sha256)
+    return ts, 'sha256=' + mac.hexdigest()
+
+
+def verify(secret: str, body: bytes, timestamp: str | None, signature: str | None) -> bool:
+    """Verify an inbound signature (used by the callback receiver)."""
+    if not timestamp or not signature:
+        return False
+    try:
+        if abs(int(time.time()) - int(float(timestamp))) > REPLAY_WINDOW:
+            return False
+    except ValueError:
+        return False
+    _, expected = sign(secret, body, int(float(timestamp)))
+    return hmac.compare_digest(expected, signature)
+
+
+def _post(url: str, secret: str, payload: dict, idempotency: bool = True):
+    import requests
+
+    body = json.dumps(payload, ensure_ascii=False).encode()
+    ts, sig = sign(secret, body)
+    headers = {
+        'Content-Type': 'application/json',
+        HEADER_TIMESTAMP: ts,
+        HEADER_SIGNATURE: sig,
+    }
+    if idempotency:
+        headers[HEADER_IDEMPOTENCY] = uuid.uuid4().hex
+    resp = requests.post(url, data=body, headers=headers, timeout=30)
+    print(f'-> {resp.status_code} {resp.text}')
+    return resp
+
+
+def push(url: str, secret: str, session: str, text: str, session_type: str = 'person'):
+    """Fire-and-collect: returns 202 immediately; reply arrives on your callback."""
+    payload = {
+        'session_id': session,
+        'session_type': session_type,
+        'message': [{'type': 'Plain', 'text': text}],
+    }
+    return _post(url.rstrip('/'), secret, payload)
+
+
+def push_sync(url: str, secret: str, session: str, text: str, session_type: str = 'person'):
+    """Blocking convenience: POST to /sync and get the collapsed reply back."""
+    payload = {
+        'session_id': session,
+        'session_type': session_type,
+        'message': [{'type': 'Plain', 'text': text}],
+    }
+    resp = _post(url.rstrip('/') + '/sync', secret, payload, idempotency=False)
+    return resp
+
+
+def reset(url: str, secret: str, session: str, session_type: str = 'person'):
+    """Reset a session's conversation (next message starts fresh)."""
+    payload = {'session_id': session, 'session_type': session_type}
+    return _post(url.rstrip('/') + '/reset', secret, payload, idempotency=False)
+
+
+def serve(port: int, secret: str):
+    """Run a callback receiver that verifies signatures and prints replies."""
+    from flask import Flask, request
+
+    app = Flask(__name__)
+
+    @app.route('/', methods=['POST'])
+    def recv():
+        raw = request.get_data()
+        ok = verify(secret, raw, request.headers.get(HEADER_TIMESTAMP), request.headers.get(HEADER_SIGNATURE))
+        if not ok:
+            print('!! signature verification FAILED — rejecting')
+            return {'error': 'bad signature'}, 401
+        data = json.loads(raw)
+        text_parts = [c.get('text', '') for c in data.get('message', []) if c.get('type') == 'Plain']
+        marker = 'FINAL' if data.get('is_final') else 'part '
+        print(
+            f'[{marker}] session={data["session_id"]} seq={data["sequence"]} '
+            f'reply_to={data.get("reply_to")}: {" ".join(text_parts)}'
+        )
+        return {'ok': True}
+
+    print(f'callback receiver listening on http://0.0.0.0:{port}/  (Ctrl-C to stop)')
+    app.run(host='0.0.0.0', port=port)
+
+
+def main(argv=None):
+    p = argparse.ArgumentParser(description='LangBot HTTP Bot reference client')
+    sub = p.add_subparsers(dest='cmd', required=True)
+
+    sp = sub.add_parser('serve', help='run the callback receiver')
+    sp.add_argument('--port', type=int, default=8900)
+    sp.add_argument('--secret', required=True)
+
+    for name in ('push', 'sync', 'reset'):
+        c = sub.add_parser(name)
+        c.add_argument('--url', required=True, help='https://host/bots/<BOT_UUID>')
+        c.add_argument('--secret', required=True)
+        c.add_argument('--session', required=True)
+        c.add_argument('--session-type', default='person', choices=['person', 'group'])
+        if name != 'reset':
+            c.add_argument('--text', required=True)
+
+    args = p.parse_args(argv)
+    if args.cmd == 'serve':
+        serve(args.port, args.secret)
+    elif args.cmd == 'push':
+        push(args.url, args.secret, args.session, args.text, args.session_type)
+    elif args.cmd == 'sync':
+        push_sync(args.url, args.secret, args.session, args.text, args.session_type)
+    elif args.cmd == 'reset':
+        reset(args.url, args.secret, args.session, args.session_type)
+
+
+if __name__ == '__main__':
+    sys.exit(main())

examples/http-bot/client.ts

@@ -0,0 +1,123 @@
+/**
+ * LangBot HTTP Bot adapter — reference client (TypeScript / Node 18+).
+ *
+ * Zero runtime dependencies (uses global `fetch`, `crypto`, and `http`).
+ *
+ *   - `push()`      : fire-and-collect; reply lands on your callback URL.
+ *   - `pushSync()`  : POST /sync and await the collapsed reply.
+ *   - `reset()`     : reset a session's conversation.
+ *   - `startReceiver()` : a callback server that verifies signatures and logs
+ *                         replies, so you can watch N->1 and 1->M live.
+ *
+ * Run the demos:
+ *   npx tsx client.ts serve   8900 SHARED_SECRET
+ *   npx tsx client.ts push    https://host/bots/<UUID> SHARED_SECRET ticket-1 "hello"
+ *   npx tsx client.ts sync    https://host/bots/<UUID> SHARED_SECRET ticket-1 "hello"
+ *   npx tsx client.ts reset   https://host/bots/<UUID> SHARED_SECRET ticket-1
+ */
+
+import { createHmac, randomUUID, timingSafeEqual } from 'node:crypto';
+import { createServer } from 'node:http';
+
+const HEADER_TIMESTAMP = 'X-LB-Timestamp';
+const HEADER_SIGNATURE = 'X-LB-Signature';
+const HEADER_IDEMPOTENCY = 'X-LB-Idempotency-Key';
+const REPLAY_WINDOW = 300;
+
+/** Compute the `sha256=<hex>` signature over `"{ts}." + body`. */
+export function sign(secret: string, body: Buffer | string, timestamp?: number): [string, string] {
+  const ts = String(timestamp ?? Math.floor(Date.now() / 1000));
+  const buf = typeof body === 'string' ? Buffer.from(body) : body;
+  const mac = createHmac('sha256', secret).update(Buffer.concat([Buffer.from(`${ts}.`), buf])).digest('hex');
+  return [ts, `sha256=${mac}`];
+}
+
+/** Verify an inbound signature (used by the callback receiver). */
+export function verify(secret: string, body: Buffer, timestamp?: string, signature?: string): boolean {
+  if (!timestamp || !signature) return false;
+  if (Math.abs(Math.floor(Date.now() / 1000) - Number(timestamp)) > REPLAY_WINDOW) return false;
+  const [, expected] = sign(secret, body, Number(timestamp));
+  const a = Buffer.from(expected);
+  const b = Buffer.from(signature);
+  return a.length === b.length && timingSafeEqual(a, b);
+}
+
+interface Segment { type: string; text?: string; url?: string; [k: string]: unknown }
+
+async function post(url: string, secret: string, payload: object, idempotency = true) {
+  const body = Buffer.from(JSON.stringify(payload));
+  const [ts, sig] = sign(secret, body);
+  const headers: Record<string, string> = {
+    'Content-Type': 'application/json',
+    [HEADER_TIMESTAMP]: ts,
+    [HEADER_SIGNATURE]: sig,
+  };
+  if (idempotency) headers[HEADER_IDEMPOTENCY] = randomUUID();
+  const resp = await fetch(url, { method: 'POST', headers, body });
+  const text = await resp.text();
+  console.log(`-> ${resp.status} ${text}`);
+  return { status: resp.status, text };
+}
+
+/** Fire-and-collect: 202 now, reply later on your callback URL. */
+export function push(url: string, secret: string, session: string, text: string, sessionType = 'person') {
+  return post(url.replace(/\/$/, ''), secret, {
+    session_id: session,
+    session_type: sessionType,
+    message: [{ type: 'Plain', text }] as Segment[],
+  });
+}
+
+/** Blocking convenience: POST /sync, get the collapsed reply. */
+export function pushSync(url: string, secret: string, session: string, text: string, sessionType = 'person') {
+  return post(`${url.replace(/\/$/, '')}/sync`, secret, {
+    session_id: session,
+    session_type: sessionType,
+    message: [{ type: 'Plain', text }] as Segment[],
+  }, false);
+}
+
+/** Reset a session's conversation. */
+export function reset(url: string, secret: string, session: string, sessionType = 'person') {
+  return post(`${url.replace(/\/$/, '')}/reset`, secret, { session_id: session, session_type: sessionType }, false);
+}
+
+/** Run a callback receiver that verifies signatures and prints replies. */
+export function startReceiver(port: number, secret: string) {
+  const server = createServer((req, res) => {
+    if (req.method !== 'POST') { res.writeHead(405).end(); return; }
+    const chunks: Buffer[] = [];
+    req.on('data', (c) => chunks.push(c));
+    req.on('end', () => {
+      const raw = Buffer.concat(chunks);
+      const ok = verify(secret, raw, req.headers[HEADER_TIMESTAMP.toLowerCase()] as string,
+        req.headers[HEADER_SIGNATURE.toLowerCase()] as string);
+      if (!ok) {
+        console.log('!! signature verification FAILED — rejecting');
+        res.writeHead(401, { 'Content-Type': 'application/json' }).end(JSON.stringify({ error: 'bad signature' }));
+        return;
+      }
+      const data = JSON.parse(raw.toString());
+      const parts = (data.message as Segment[]).filter((c) => c.type === 'Plain').map((c) => c.text).join(' ');
+      const marker = data.is_final ? 'FINAL' : 'part ';
+      console.log(`[${marker}] session=${data.session_id} seq=${data.sequence} reply_to=${data.reply_to}: ${parts}`);
+      res.writeHead(200, { 'Content-Type': 'application/json' }).end(JSON.stringify({ ok: true }));
+    });
+  });
+  server.listen(port, () => console.log(`callback receiver listening on http://0.0.0.0:${port}/  (Ctrl-C to stop)`));
+}
+
+// --- CLI ---
+const [cmd, ...rest] = process.argv.slice(2);
+if (cmd === 'serve') {
+  startReceiver(Number(rest[0] ?? 8900), rest[1] ?? 'SHARED_SECRET');
+} else if (cmd === 'push') {
+  push(rest[0], rest[1], rest[2], rest[3]);
+} else if (cmd === 'sync') {
+  pushSync(rest[0], rest[1], rest[2], rest[3]);
+} else if (cmd === 'reset') {
+  reset(rest[0], rest[1], rest[2]);
+} else if (cmd) {
+  console.error(`unknown command: ${cmd}`);
+  process.exit(1);
+}

examples/http-bot/playground.py

@@ -0,0 +1,349 @@
+#!/usr/bin/env python3
+"""LangBot HTTP Bot — interactive playground (public, browser-based).
+
+This is a REAL end-to-end demo against the RUNNING LangBot instance on this
+host. It is NOT a mock and NOT an in-process import: every message you type in
+the browser is signed and POSTed to the live `http_bot` bot at
+http://127.0.0.1:5300/bots/<uuid>, and the bot's replies come back to this
+server's /callback endpoint over real HTTP, then stream to your browser via SSE.
+
+What it does on startup:
+  1. Reads the LangBot API key + the http_bot bot from data/langbot.db.
+  2. Configures the bot via the LangBot API (PUT /api/v1/platform/bots/<uuid>):
+     sets inbound_secret + outbound_secret + callback_url to point back here.
+     (LangBot reloads the bot live — no server restart needed.)
+  3. Serves a chat page on 0.0.0.0:<PORT> so you can open it from the internet.
+
+Run:  ./.venv/bin/python examples/http-bot/playground.py
+Then open:  http://<this-host-public-ip>:<PORT>/
+"""
+
+from __future__ import annotations
+
+import asyncio
+import json
+import os
+import sqlite3
+import sys
+
+REPO = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..'))
+sys.path.insert(0, os.path.join(REPO, 'src'))
+
+from aiohttp import web  # noqa: E402
+import aiohttp  # noqa: E402
+
+from langbot.pkg.platform.sources import http_bot_signing as sg  # noqa: E402
+
+# ---- config -----------------------------------------------------------------
+LANGBOT_BASE = 'http://127.0.0.1:5300'
+DB_PATH = os.path.join(REPO, 'data', 'langbot.db')
+PUBLIC_IP = os.environ.get('PUBLIC_IP', '127.0.0.1')
+PORT = int(os.environ.get('PLAYGROUND_PORT', '8920'))
+SECRET = 'playground-shared-secret'
+
+# SSE subscribers: list of asyncio.Queue
+subscribers: list[asyncio.Queue] = []
+
+
+def db_lookup() -> tuple[str, str]:
+    """Return (api_key, http_bot_uuid) from the LangBot DB."""
+    db = sqlite3.connect(DB_PATH)
+    db.row_factory = sqlite3.Row
+    api_key = db.execute('SELECT key FROM api_keys LIMIT 1').fetchone()['key']
+    bot = db.execute("SELECT uuid FROM bots WHERE adapter='http_bot' LIMIT 1").fetchone()
+    if not bot:
+        raise SystemExit('No http_bot bot found. Create one in the WebUI first.')
+    return api_key, bot['uuid']
+
+
+async def configure_bot(api_key: str, bot_uuid: str, callback_url: str):
+    """Point the live bot at this playground via the LangBot API.
+
+    update_bot() runs a raw SQL UPDATE with whatever keys we send, so we send a
+    MINIMAL payload: only adapter_config (built from scratch, not read back —
+    the GET masks secrets). LangBot reloads + reruns the bot live.
+    """
+    cfg = {
+        'inbound_secret': SECRET,
+        'outbound_secret': SECRET,
+        'callback_url': callback_url,
+        'signature_required': True,
+        'default_session_type': 'person',
+        'callback_timeout': 15,
+        'callback_max_retries': 3,
+    }
+    async with aiohttp.ClientSession() as s:
+        async with s.put(
+            f'{LANGBOT_BASE}/api/v1/platform/bots/{bot_uuid}',
+            headers={'Authorization': f'Bearer {api_key}', 'Content-Type': 'application/json'},
+            json={'adapter_config': cfg},
+        ) as r:
+            txt = await r.text()
+            print(f'[configure] PUT adapter_config -> {r.status} {txt[:200]}')
+            return r.status < 400
+
+
+async def broadcast(event: dict):
+    for q in list(subscribers):
+        try:
+            q.put_nowait(event)
+        except Exception:
+            pass
+
+
+# ---- HTTP handlers ----------------------------------------------------------
+async def index(request: web.Request):
+    return web.Response(text=PAGE, content_type='text/html')
+
+
+async def send(request: web.Request):
+    """Browser -> here -> signed POST -> live LangBot bot."""
+    body_in = await request.json()
+    session_id = body_in.get('session_id') or 'playground-1'
+    text = body_in.get('text', '')
+    bot_uuid = request.app['bot_uuid']
+
+    payload = {
+        'session_id': session_id,
+        'sender': {'id': 'browser-user', 'name': 'You'},
+        'message': [{'type': 'Plain', 'text': text}],
+    }
+    raw = json.dumps(payload, ensure_ascii=False).encode()
+    ts, sig = sg.sign(SECRET, raw)
+    url = f'{LANGBOT_BASE}/bots/{bot_uuid}'
+
+    # echo what we send to the browser timeline
+    await broadcast(
+        {'dir': 'out', 'kind': 'request', 'session_id': session_id, 'text': text, 'url': url, 'sig': sig[:24] + '…'}
+    )
+
+    async with aiohttp.ClientSession() as s:
+        async with s.post(
+            url,
+            data=raw,
+            headers={
+                'Content-Type': 'application/json',
+                sg.HEADER_TIMESTAMP: ts,
+                sg.HEADER_SIGNATURE: sig,
+            },
+        ) as r:
+            status = r.status
+            try:
+                jr = await r.json()
+            except Exception:
+                jr = {'raw': await r.text()}
+    await broadcast({'dir': 'in', 'kind': 'ack', 'status': status, 'data': jr})
+    return web.json_response({'status': status, 'data': jr})
+
+
+async def callback(request: web.Request):
+    """Live LangBot bot -> here. Verify signature, stream to browser."""
+    raw = await request.read()
+    ok, why = sg.verify(SECRET, raw, request.headers.get(sg.HEADER_TIMESTAMP), request.headers.get(sg.HEADER_SIGNATURE))
+    data = json.loads(raw)
+    text = ' '.join(c.get('text', '') for c in data.get('message', []) if c.get('type') == 'Plain')
+    await broadcast(
+        {
+            'dir': 'in',
+            'kind': 'reply',
+            'session_id': data.get('session_id'),
+            'sequence': data.get('sequence'),
+            'is_final': data.get('is_final'),
+            'sig_ok': ok,
+            'sig_why': why,
+            'text': text,
+        }
+    )
+    return web.json_response({'ok': True})
+
+
+async def events(request: web.Request):
+    """SSE stream to the browser."""
+    resp = web.StreamResponse(
+        headers={
+            'Content-Type': 'text/event-stream',
+            'Cache-Control': 'no-cache',
+            'Connection': 'keep-alive',
+            'Access-Control-Allow-Origin': '*',
+        }
+    )
+    await resp.prepare(request)
+    q: asyncio.Queue = asyncio.Queue()
+    subscribers.append(q)
+    try:
+        await resp.write(b': connected\n\n')
+        while True:
+            try:
+                ev = await asyncio.wait_for(q.get(), timeout=15)
+                await resp.write(f'data: {json.dumps(ev, ensure_ascii=False)}\n\n'.encode())
+            except asyncio.TimeoutError:
+                await resp.write(b': ping\n\n')
+    except (asyncio.CancelledError, ConnectionResetError):
+        pass
+    finally:
+        if q in subscribers:
+            subscribers.remove(q)
+    return resp
+
+
+PAGE = r"""<!doctype html>
+<html lang="zh"><head><meta charset="utf-8"/>
+<meta name="viewport" content="width=device-width,initial-scale=1"/>
+<title>LangBot HTTP Bot · 调试台</title>
+<style>
+  :root{
+    --bg:#f7f8fa; --panel:#ffffff; --line:#e8eaed; --ink:#1f2329; --mut:#8a909a;
+    --brand:#2563eb; --brand-soft:#eef3ff; --ok:#16a34a; --bad:#dc2626; --code:#f3f4f6;
+  }
+  *{box-sizing:border-box}
+  html,body{height:100%}
+  body{margin:0;background:var(--bg);color:var(--ink);
+    font:14px/1.6 -apple-system,BlinkMacSystemFont,"Segoe UI",Roboto,"PingFang SC","Microsoft YaHei",sans-serif}
+  .top{height:52px;background:var(--panel);border-bottom:1px solid var(--line);
+    display:flex;align-items:center;gap:10px;padding:0 18px}
+  .logo{width:26px;height:26px;border-radius:7px;background:var(--brand);display:grid;place-items:center;color:#fff;font-weight:700;font-size:14px}
+  .top b{font-size:15px} .top .ver{font-size:12px;color:var(--mut)}
+  .dot{width:8px;height:8px;border-radius:50%;background:#cbd2dc;display:inline-block;margin-right:5px;vertical-align:middle}
+  .dot.on{background:var(--ok)} .dot.off{background:var(--bad)}
+  .conn{margin-left:auto;font-size:12px;color:var(--mut)}
+  .wrap{max-width:1080px;margin:0 auto;padding:18px;display:grid;grid-template-columns:1fr 360px;gap:16px}
+  @media(max-width:880px){.wrap{grid-template-columns:1fr}}
+  .card{background:var(--panel);border:1px solid var(--line);border-radius:12px;display:flex;flex-direction:column;min-height:0}
+  .card h3{margin:0;padding:12px 16px;font-size:13px;font-weight:600;color:#4b5563;border-bottom:1px solid var(--line);display:flex;align-items:center;gap:8px}
+  .chat{height:62vh}
+  .msgs{flex:1;overflow:auto;padding:16px;display:flex;flex-direction:column;gap:12px}
+  .row{display:flex;flex-direction:column;gap:4px;max-width:82%}
+  .row.me{align-self:flex-end;align-items:flex-end}
+  .row.bot{align-self:flex-start}
+  .bub{padding:9px 13px;border-radius:12px;white-space:pre-wrap;word-break:break-word}
+  .me .bub{background:var(--brand);color:#fff;border-bottom-right-radius:3px}
+  .bot .bub{background:#f1f3f6;color:var(--ink);border-bottom-left-radius:3px}
+  .meta{font-size:11px;color:var(--mut)}
+  .meta .ok{color:var(--ok)} .meta .bad{color:var(--bad)}
+  .sys{align-self:center;font-size:12px;color:var(--mut);background:#f1f3f6;border-radius:8px;padding:4px 12px}
+  .bar{display:flex;gap:8px;padding:12px;border-top:1px solid var(--line)}
+  .bar input{flex:1;border:1px solid var(--line);border-radius:9px;padding:10px 12px;font-size:14px;outline:none}
+  .bar input:focus{border-color:var(--brand);box-shadow:0 0 0 3px var(--brand-soft)}
+  .bar button{background:var(--brand);color:#fff;border:0;border-radius:9px;padding:0 18px;font-size:14px;font-weight:500;cursor:pointer}
+  .bar button:disabled{opacity:.5;cursor:default}
+  .side{height:62vh}
+  .kv{padding:12px 16px;border-bottom:1px solid var(--line);font-size:12px}
+  .kv .k{color:var(--mut)} .kv .v{color:var(--ink);word-break:break-all}
+  .kv code{background:var(--code);border-radius:5px;padding:1px 5px;font-size:11px}
+  .sessrow{display:flex;align-items:center;gap:8px;padding:10px 16px;border-bottom:1px solid var(--line);font-size:12px}
+  .sessrow input{flex:1;border:1px solid var(--line);border-radius:7px;padding:5px 8px;font-size:12px}
+  .sessrow button{border:1px solid var(--line);background:#fff;border-radius:7px;padding:5px 9px;font-size:12px;cursor:pointer;color:#4b5563}
+  .trace{flex:1;overflow:auto;padding:10px 12px;font:11px/1.55 ui-monospace,SFMono-Regular,Menlo,monospace}
+  .ev{padding:6px 8px;border-radius:7px;margin-bottom:6px;border:1px solid var(--line)}
+  .ev .t{font-weight:600;font-size:10px;letter-spacing:.3px;text-transform:uppercase}
+  .ev.out{background:#f5f8ff;border-color:#dbe6ff}.ev.out .t{color:var(--brand)}
+  .ev.ack{background:#f4f6f8}.ev.ack .t{color:#6b7280}
+  .ev.reply{background:#f1faf3;border-color:#cdeed6}.ev.reply .t{color:var(--ok)}
+  .ev pre{margin:3px 0 0;white-space:pre-wrap;word-break:break-all;color:#374151}
+</style></head>
+<body>
+<div class="top">
+  <div class="logo">L</div>
+  <b>HTTP Bot 调试台</b><span class="ver">examples/http-bot</span>
+  <span class="conn"><span class="dot off" id="cdot"></span><span id="conn">连接中…</span></span>
+</div>
+<div class="wrap">
+  <!-- chat -->
+  <div class="card chat">
+    <h3>对话 · 真实发往运行中的 http_bot</h3>
+    <div class="msgs" id="msgs"></div>
+    <div class="bar">
+      <input id="msg" placeholder="输入消息,回车发送…" autofocus/>
+      <button id="send">发送</button>
+    </div>
+  </div>
+  <!-- debug -->
+  <div class="card side">
+    <h3>调试信息</h3>
+    <div class="kv"><span class="k">入站地址</span><br><span class="v"><code id="endpoint">/bots/&lt;uuid&gt;</code></span></div>
+    <div class="kv"><span class="k">签名</span> <span class="v">HMAC-SHA256 · <code>X-LB-Signature</code></span></div>
+    <div class="sessrow">
+      <span class="k">会话</span>
+      <input id="sid" value="playground-1"/>
+      <button id="reset">新会话</button>
+    </div>
+    <div class="trace" id="trace"></div>
+  </div>
+</div>
+<script>
+const $=s=>document.querySelector(s);
+const msgs=$('#msgs'),trace=$('#trace'),inp=$('#msg'),btn=$('#send'),
+      conn=$('#conn'),cdot=$('#cdot'),sidIn=$('#sid');
+function el(c){const d=document.createElement('div');d.className=c;return d}
+function atBottom(n){n.scrollTop=n.scrollHeight}
+function bubble(side,text,metaHtml){
+  const r=el('row '+side),b=el('bub');b.textContent=text;r.appendChild(b);
+  if(metaHtml){const m=el('meta');m.innerHTML=metaHtml;r.appendChild(m)}
+  msgs.appendChild(r);atBottom(msgs)}
+function sys(t){const d=el('sys');d.textContent=t;msgs.appendChild(d);atBottom(msgs)}
+function logEv(kind,title,obj){
+  const e=el('ev '+kind),t=el('t');t.textContent=title;e.appendChild(t);
+  if(obj!==undefined){const p=document.createElement('pre');
+    p.textContent=typeof obj==='string'?obj:JSON.stringify(obj,null,2);e.appendChild(p)}
+  trace.appendChild(e);atBottom(trace)}
+
+const es=new EventSource('/events');
+es.onopen=()=>{conn.textContent='SSE 已连接';cdot.className='dot on'};
+es.onerror=()=>{conn.textContent='SSE 断开,重连…';cdot.className='dot off'};
+es.onmessage=e=>{const ev=JSON.parse(e.data);
+  if(ev.kind==='request'){
+    if(ev.endpoint)$('#endpoint').textContent=ev.url||ev.endpoint;
+    logEv('out','出站 · 已签名 POST',{url:ev.url,session_id:ev.session_id,'X-LB-Signature':ev.sig});
+  }else if(ev.kind==='ack'){
+    const id=ev.data&&ev.data.data&&ev.data.data.accepted_message_id;
+    sys(`LangBot 已接收 · HTTP ${ev.status}`);
+    logEv('ack','入站确认 202',{status:ev.status,accepted_message_id:id||'-'});
+  }else if(ev.kind==='reply'){
+    const sig=ev.sig_ok?'<span class=ok>验签通过</span>':'<span class=bad>验签失败</span>';
+    bubble('bot',ev.text,`seq=${ev.sequence} · ${ev.is_final?'<b>FINAL</b>':'中间段'} · ${sig}`);
+    logEv('reply',`回调 · seq ${ev.sequence}${ev.is_final?' · FINAL':''}`,
+      {session_id:ev.session_id,sequence:ev.sequence,is_final:ev.is_final,sig_ok:ev.sig_ok,text:ev.text});
+  }};
+
+async function send(){
+  const t=inp.value.trim();if(!t)return;inp.value='';btn.disabled=true;
+  bubble('me',t,'已签名 → POST /bots/&lt;uuid&gt;');
+  try{await fetch('/send',{method:'POST',headers:{'Content-Type':'application/json'},
+    body:JSON.stringify({session_id:sidIn.value.trim()||'playground-1',text:t})});}
+  catch(e){sys('发送失败:'+e)}
+  btn.disabled=false;inp.focus();}
+btn.onclick=send;inp.addEventListener('keydown',e=>{if(e.key==='Enter')send()});
+$('#reset').onclick=()=>{sidIn.value='playground-'+Math.random().toString(36).slice(2,7);
+  sys('已切换到新会话 '+sidIn.value);};
+sys('调试台就绪 · 每条消息都会真实发往运行中的 http_bot,右侧可观察签名 / 202 / 回调全过程。');
+</script>
+</body></html>"""
+
+
+async def main():
+    api_key, bot_uuid = db_lookup()
+    callback_url = f'http://{PUBLIC_IP}:{PORT}/callback'
+    print(f'[init] http_bot uuid = {bot_uuid}')
+    print(f'[init] callback_url  = {callback_url}')
+    ok = await configure_bot(api_key, bot_uuid, callback_url)
+    if not ok:
+        print('[warn] bot config update failed; check the API key / payload shape')
+
+    app = web.Application()
+    app['bot_uuid'] = bot_uuid
+    app.router.add_get('/', index)
+    app.router.add_post('/send', send)
+    app.router.add_post('/callback', callback)
+    app.router.add_get('/events', events)
+
+    runner = web.AppRunner(app)
+    await runner.setup()
+    site = web.TCPSite(runner, '0.0.0.0', PORT)
+    await site.start()
+    print(f'\n  ▶ 打开:  http://{PUBLIC_IP}:{PORT}/\n')
+    while True:
+        await asyncio.sleep(3600)
+
+
+if __name__ == '__main__':
+    asyncio.run(main())

examples/web-page-bot/README.md

@@ -0,0 +1,48 @@
+# Page Bot Adapter — Embed Demo
+
+> English | [中文](./README.zh.md)
+
+A single self-contained HTML page that demos the LangBot **Page Bot**
+(`web_page_bot`) embeddable chat widget — the one you drop onto any website with
+a single `<script>` tag.
+
+Full guide: [docs.langbot.app — Page Bot](https://docs.langbot.app/en/usage/platforms/webpage).
+
+## Files
+
+| File | What it is |
+|---|---|
+| `index.html` | **Browser demo** — open it, point it at a running LangBot instance + a Page Bot you created, and it loads the live embed widget so you can chat with the bot exactly as a site visitor would. Zero deps, no build step. |
+
+## How to use
+
+1. In the LangBot WebUI, create a bot with the **Page Bot** (`页面机器人`)
+   adapter and bind it to a working pipeline. Copy its **bot UUID** from the
+   generated embed code.
+2. Open `index.html` in a browser. Any of these work:
+   - double-click the file, or
+   - serve the folder: `python3 -m http.server 8930` then open
+     `http://localhost:8930/examples/web-page-bot/`.
+3. Fill in:
+   - **LangBot base URL** — where your instance is reachable from the browser
+     (e.g. `http://localhost:5300`, or your public address).
+   - **Page Bot UUID** — from step 1.
+   - **Widget title** — optional, sets the `data-title` attribute.
+4. Click **Load widget**. A floating chat bubble appears in the bottom-right
+   corner — click it and chat.
+
+The page also renders the exact `<script>` snippet you'd paste into your own
+site (before `</body>`), and updates it live as you edit the fields.
+
+## What it demonstrates
+
+- The embed contract: `<script data-title="…" src="<base>/api/v1/embed/<uuid>/widget.js"></script>`.
+- `widget.js` is served by LangBot pre-configured for that bot UUID — title,
+  bubble icon, language and optional Cloudflare Turnstile protection all come
+  from the bot's config, no page changes needed.
+- Messages travel over a WebSocket to the bot's bound pipeline; replies stream
+  back into the bubble.
+
+> The widget loads `widget.js` from your LangBot instance, so the **base URL
+> must be reachable from the browser** you open this page in. If LangBot runs on
+> a server, use its public address instead of `localhost`.

examples/web-page-bot/README.zh.md

@@ -0,0 +1,44 @@
+# 页面机器人适配器 —— 嵌入演示
+
+> [English](./README.md) | 中文
+
+一个自包含的单文件 HTML 页面，用于演示 LangBot **页面机器人**
+(`web_page_bot`) 的可嵌入聊天组件 —— 也就是你用一行 `<script>` 标签就能放到任意
+网站上的那个组件。
+
+完整指南：[docs.langbot.app —— 页面机器人](https://docs.langbot.app/zh/usage/platforms/webpage)。
+
+## 文件清单
+
+| 文件 | 是什么 |
+|---|---|
+| `index.html` | **浏览器演示页** —— 打开它，填上一个运行中的 LangBot 实例地址 + 你创建的页面机器人，它就会加载真实的嵌入组件，让你像网站访客一样和机器人对话。零依赖，无需构建。 |
+
+## 使用方法
+
+1. 在 LangBot WebUI 中，用 **页面机器人**（`web_page_bot`）适配器创建一个机器人，
+   并绑定一个可用的流水线。从生成的嵌入代码里复制它的 **机器人 UUID**。
+2. 在浏览器中打开 `index.html`，以下任一方式皆可：
+   - 直接双击该文件；或
+   - 起一个静态服务：`python3 -m http.server 8930`，然后打开
+     `http://localhost:8930/examples/web-page-bot/`。
+3. 填写：
+   - **LangBot base URL** —— 你的实例在该浏览器中可访问的地址
+     （例如 `http://localhost:5300`，或你的公网地址）。
+   - **页面机器人 UUID** —— 第 1 步里复制的。
+   - **组件标题** —— 可选，对应 `data-title` 属性。
+4. 点击 **Load widget**。页面右下角会出现一个浮动聊天气泡 —— 点开即可对话。
+
+页面还会实时渲染出你需要粘贴到自己网站（放在 `</body>` 前）的那段 `<script>`
+代码，并随着你编辑输入框同步更新。
+
+## 它演示了什么
+
+- 嵌入契约：`<script data-title="…" src="<base>/api/v1/embed/<uuid>/widget.js"></script>`。
+- `widget.js` 由 LangBot 针对该机器人 UUID 预配置后下发 —— 标题、气泡图标、语言
+  以及可选的 Cloudflare Turnstile 防护，全部来自机器人配置，无需改动页面。
+- 消息通过 WebSocket 发往机器人绑定的流水线，回复流式回到气泡中。
+
+> 组件会从你的 LangBot 实例加载 `widget.js`，因此 **base URL 必须能从你打开本页
+> 的浏览器访问到**。如果 LangBot 部署在服务器上，请用它的公网地址而非
+> `localhost`。

examples/web-page-bot/index.html

@@ -0,0 +1,205 @@
+<!doctype html>
+<html lang="en">
+<head>
+<meta charset="utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1" />
+<title>LangBot Page Bot · Embed Demo</title>
+<style>
+  :root {
+    --bg: #f7f8fa; --panel: #ffffff; --line: #e8eaed; --ink: #1f2329;
+    --mut: #8a909a; --brand: #2563eb; --brand-soft: #eef3ff;
+    --ok: #16a34a; --bad: #dc2626; --code: #f3f4f6;
+  }
+  * { box-sizing: border-box; }
+  html, body { height: 100%; }
+  body {
+    margin: 0; background: var(--bg); color: var(--ink);
+    font: 14px/1.6 -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto,
+      "PingFang SC", "Microsoft YaHei", sans-serif;
+  }
+  .top {
+    height: 52px; background: var(--panel); border-bottom: 1px solid var(--line);
+    display: flex; align-items: center; gap: 10px; padding: 0 18px;
+  }
+  .logo {
+    width: 26px; height: 26px; border-radius: 7px; background: var(--brand);
+    display: grid; place-items: center; color: #fff; font-weight: 700; font-size: 14px;
+  }
+  .top b { font-size: 15px; }
+  .top .ver { font-size: 12px; color: var(--mut); }
+  .wrap { max-width: 760px; margin: 0 auto; padding: 28px 18px 80px; }
+  .hero h1 { margin: 8px 0 6px; font-size: 22px; }
+  .hero p { margin: 0 0 4px; color: var(--mut); }
+  .card {
+    background: var(--panel); border: 1px solid var(--line); border-radius: 12px;
+    padding: 20px; margin-top: 20px;
+  }
+  .card h3 {
+    margin: 0 0 14px; font-size: 14px; font-weight: 600; color: #4b5563;
+    display: flex; align-items: center; gap: 8px;
+  }
+  .card h3 .num {
+    width: 20px; height: 20px; border-radius: 50%; background: var(--brand-soft);
+    color: var(--brand); display: grid; place-items: center; font-size: 12px; font-weight: 700;
+  }
+  .field { margin-bottom: 14px; }
+  .field:last-child { margin-bottom: 0; }
+  .field label { display: block; font-size: 12px; color: var(--mut); margin-bottom: 5px; }
+  .field input {
+    width: 100%; border: 1px solid var(--line); border-radius: 9px;
+    padding: 10px 12px; font-size: 14px; outline: none; font-family: inherit;
+  }
+  .field input:focus { border-color: var(--brand); box-shadow: 0 0 0 3px var(--brand-soft); }
+  .hint { font-size: 12px; color: var(--mut); margin-top: 5px; }
+  .hint code { background: var(--code); border-radius: 5px; padding: 1px 5px; font-size: 11px; }
+  .actions { display: flex; gap: 10px; margin-top: 18px; align-items: center; }
+  button {
+    border: 0; border-radius: 9px; padding: 10px 18px; font-size: 14px;
+    font-weight: 500; cursor: pointer; font-family: inherit;
+  }
+  .btn-primary { background: var(--brand); color: #fff; }
+  .btn-primary:disabled { opacity: .5; cursor: default; }
+  .btn-ghost { background: #fff; border: 1px solid var(--line); color: #4b5563; }
+  .status { font-size: 13px; color: var(--mut); }
+  .status .ok { color: var(--ok); }
+  .status .bad { color: var(--bad); }
+  pre {
+    background: #0f172a; color: #e2e8f0; border-radius: 10px; padding: 14px 16px;
+    overflow: auto; font: 12px/1.6 ui-monospace, SFMono-Regular, Menlo, monospace;
+    margin: 0;
+  }
+  .snippet-row { position: relative; }
+  .snippet-row .copy {
+    position: absolute; top: 10px; right: 10px; background: rgba(255,255,255,.12);
+    color: #fff; border: 0; border-radius: 7px; padding: 5px 10px; font-size: 12px; cursor: pointer;
+  }
+  ul.steps { margin: 0; padding-left: 18px; color: #4b5563; }
+  ul.steps li { margin-bottom: 6px; }
+</style>
+</head>
+<body>
+<div class="top">
+  <div class="logo">L</div>
+  <b>Page Bot · Embed Demo</b>
+  <span class="ver">examples/web-page-bot</span>
+</div>
+
+<div class="wrap">
+  <div class="hero">
+    <h1>Try the LangBot Page Bot widget</h1>
+    <p>Point this page at a running LangBot instance and a <strong>Page Bot</strong> you created,</p>
+    <p>then load the live embed widget below to chat with it — exactly as your site visitors would.</p>
+  </div>
+
+  <div class="card">
+    <h3><span class="num">1</span> Connect your Page Bot</h3>
+    <div class="field">
+      <label for="base">LangBot base URL</label>
+      <input id="base" placeholder="http://localhost:5300" value="http://localhost:5300" />
+      <div class="hint">The address where your LangBot instance is reachable from this browser. No trailing slash.</div>
+    </div>
+    <div class="field">
+      <label for="uuid">Page Bot UUID</label>
+      <input id="uuid" placeholder="xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx" />
+      <div class="hint">Create a bot with the <code>Page Bot</code> adapter in the WebUI, then copy its UUID from the embed code.</div>
+    </div>
+    <div class="field">
+      <label for="title">Widget title (optional)</label>
+      <input id="title" placeholder="LangBot" value="LangBot" />
+    </div>
+    <div class="actions">
+      <button id="load" class="btn-primary">Load widget</button>
+      <button id="unload" class="btn-ghost">Remove widget</button>
+      <span class="status" id="status">Not loaded.</span>
+    </div>
+  </div>
+
+  <div class="card">
+    <h3><span class="num">2</span> The embed snippet</h3>
+    <p style="margin:0 0 12px;color:var(--mut)">This is exactly what you paste into your own site (before <code>&lt;/body&gt;</code>). It updates as you edit the fields above.</p>
+    <div class="snippet-row">
+      <button class="copy" id="copy">Copy</button>
+      <pre id="snippet">&lt;script data-title="LangBot" src="http://localhost:5300/api/v1/embed/&lt;bot-uuid&gt;/widget.js"&gt;&lt;/script&gt;</pre>
+    </div>
+  </div>
+
+  <div class="card">
+    <h3><span class="num">3</span> How it works</h3>
+    <ul class="steps">
+      <li>The <code>&lt;script&gt;</code> tag pulls <code>widget.js</code> from your LangBot instance, pre-configured for that bot UUID.</li>
+      <li>A floating chat bubble appears in the bottom-right corner of the page.</li>
+      <li>Messages travel over a WebSocket to the bot's bound pipeline; replies stream back into the bubble.</li>
+      <li>Title, bubble icon, language and optional Cloudflare Turnstile protection are all set in the bot's config — no page changes needed.</li>
+    </ul>
+  </div>
+</div>
+
+<script>
+  var $ = function (s) { return document.querySelector(s); };
+  var baseEl = $("#base"), uuidEl = $("#uuid"), titleEl = $("#title"),
+      statusEl = $("#status"), snippetEl = $("#snippet");
+  var WIDGET_ID = "langbot-embed-demo-script";
+
+  function clean(v) { return (v || "").trim().replace(/\/+$/, ""); }
+
+  function buildSrc() {
+    var base = clean(baseEl.value) || "http://localhost:5300";
+    var uuid = uuidEl.value.trim() || "<bot-uuid>";
+    return base + "/api/v1/embed/" + uuid + "/widget.js";
+  }
+
+  function refreshSnippet() {
+    var title = titleEl.value.trim() || "LangBot";
+    var src = buildSrc();
+    snippetEl.textContent =
+      '<script data-title="' + title + '" src="' + src + '"><\/script>';
+  }
+
+  function setStatus(html) { statusEl.innerHTML = html; }
+
+  function removeWidget() {
+    var old = document.getElementById(WIDGET_ID);
+    if (old) old.remove();
+    // The widget injects its own DOM (bubble + panel). Clear the common containers it creates.
+    document.querySelectorAll('[id^="langbot-"]').forEach(function (n) {
+      if (n.id !== WIDGET_ID) n.remove();
+    });
+  }
+
+  function loadWidget() {
+    var uuid = uuidEl.value.trim();
+    var uuidRe = /^[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}$/i;
+    if (!uuidRe.test(uuid)) {
+      setStatus('<span class="bad">Enter a valid bot UUID first.</span>');
+      return;
+    }
+    removeWidget();
+    var s = document.createElement("script");
+    s.id = WIDGET_ID;
+    s.setAttribute("data-title", titleEl.value.trim() || "LangBot");
+    s.src = buildSrc();
+    s.onload = function () {
+      setStatus('<span class="ok">Widget loaded — look bottom-right.</span>');
+    };
+    s.onerror = function () {
+      setStatus('<span class="bad">Failed to load widget.js — check the base URL and that the bot is enabled.</span>');
+    };
+    document.body.appendChild(s);
+    setStatus("Loading…");
+  }
+
+  $("#load").onclick = loadWidget;
+  $("#unload").onclick = function () {
+    removeWidget();
+    setStatus("Widget removed.");
+  };
+  $("#copy").onclick = function () {
+    navigator.clipboard.writeText(snippetEl.textContent).then(function () {
+      var b = $("#copy"); b.textContent = "Copied"; setTimeout(function () { b.textContent = "Copy"; }, 1200);
+    });
+  };
+  [baseEl, uuidEl, titleEl].forEach(function (el) { el.addEventListener("input", refreshSnippet); });
+  refreshSnippet();
+</script>
+</body>
+</html>

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "langbot"
-version = "4.10.2"
+version = "4.10.6"
 description = "Production-grade platform for building agentic IM bots"
 readme = "README.md"
 license-files = ["LICENSE"]
@@ -70,7 +70,7 @@ dependencies = [
     "chromadb>=1.0.0,<2.0.0",
     "qdrant-client (>=1.15.1,<2.0.0)",
     "pyseekdb==1.1.0.post3",
-    "langbot-plugin==0.4.5",
+    "langbot-plugin==0.4.13",
     "asyncpg>=0.30.0",
     "line-bot-sdk>=3.19.0",
     "matrix-nio>=0.25.2",
@@ -80,6 +80,7 @@ dependencies = [
     "pgvector>=0.4.1",
     "botocore>=1.42.39",
     "litellm>=1.0.0",
+    "valkey-glide>=2.4.1,<3.0.0; sys_platform != 'win32'", # No Windows wheels are published
 ]
 keywords = [
     "bot",

skills/skills/langbot-plugin-dev/SKILL.md

@@ -42,6 +42,38 @@ MyPlugin/
 
 Each component has a `.yaml` (metadata) and `.py` (implementation).
 
+## README & i18n convention (enforced on the marketplace)
+
+A plugin published to LangBot Space serves a localized README on its detail page.
+The resolver (`langbot-space` `PluginService.GetPluginREADME`) works like this:
+
+- **Root `README.md` MUST be in English.** It is the default and the fallback —
+  when no per-language README matches the viewer's locale, the page serves the
+  root `README.md`. A non-English root README makes the English/default view show
+  the wrong language.
+- **All other languages live under `readme/README_{lang}.md`** — e.g.
+  `readme/README_zh_Hans.md`, `readme/README_ja_JP.md`. The 8 supported locales:
+  `en_US, zh_Hans, zh_Hant, ja_JP, th_TH, vi_VN, es_ES, ru_RU`.
+- `manifest.yaml` `metadata.label` / `metadata.description` should carry the same
+  8-locale i18n set (`repository` must be a real, alive URL).
+
+```
+MyPlugin/
+├── manifest.yaml
+├── README.md                   # English (default + fallback) — REQUIRED, must be English
+└── readme/
+    ├── README_zh_Hans.md
+    ├── README_zh_Hant.md
+    ├── README_ja_JP.md
+    ├── README_th_TH.md
+    ├── README_vi_VN.md
+    ├── README_es_ES.md
+    └── README_ru_RU.md
+```
+
+`manifest.yaml` (incl. `repository`) is the source of truth — the marketplace
+syncs from it, so edit the package and re-publish rather than patching live data.
+
 ## Critical SDK Pitfalls
 
 ### 1. MessageChain is a RootModel — iterate directly

src/langbot/__init__.py

@@ -1,3 +1,5 @@
 """LangBot - Production-grade platform for building agentic IM bots"""
 
-__version__ = '4.10.2'
+from importlib.metadata import version
+
+__version__ = version('langbot')

src/langbot/libs/dify_service_api/v1/client.py

@@ -109,6 +109,62 @@ class AsyncDifyServiceClient:
                     if chunk.startswith('data:'):
                         yield json.loads(chunk[5:])
 
+    async def workflow_submit(
+        self,
+        form_token: str,
+        workflow_run_id: str,
+        inputs: dict[str, typing.Any],
+        user: str,
+        action: str = '',
+        timeout: float = 120.0,
+    ) -> typing.AsyncGenerator[dict[str, typing.Any], None]:
+        """Submit human input to resume a paused workflow, then stream events.
+
+        1. POST /form/human_input/{form_token} to submit the form
+        2. GET /workflow/{task_id}/events to stream the resumed workflow events
+        """
+
+        headers = {
+            'Authorization': f'Bearer {self.api_key}',
+            'Content-Type': 'application/json',
+        }
+
+        async with httpx.AsyncClient(
+            base_url=self.base_url,
+            trust_env=True,
+            timeout=timeout,
+        ) as client:
+            # Step 1: Submit the form
+            payload: dict[str, typing.Any] = {
+                'inputs': inputs if isinstance(inputs, dict) else {},
+                'user': user,
+                'action': action,
+            }
+
+            submit_resp = await client.post(
+                f'/form/human_input/{form_token}',
+                headers=headers,
+                json=payload,
+            )
+            if submit_resp.status_code != 200:
+                raise DifyAPIError(f'{submit_resp.status_code} {submit_resp.text}')
+
+            # Step 2: Stream resumed workflow events
+            async with client.stream(
+                'GET',
+                f'/workflow/{workflow_run_id}/events',
+                headers={'Authorization': f'Bearer {self.api_key}'},
+                params={'user': user},
+            ) as r:
+                if r.status_code != 200:
+                    body = (await r.aread()).decode(errors='replace')
+                    raise DifyAPIError(f'{r.status_code} {body}')
+                async for chunk in r.aiter_lines():
+                    if chunk.strip() == '':
+                        continue
+                    if chunk.startswith('data:'):
+                        yield json.loads(chunk[5:])
+
     async def upload_file(
         self,
         file: httpx._types.FileTypes,

src/langbot/libs/dingtalk_api/api.py

@@ -1,17 +1,48 @@
 import asyncio
 import base64
 import json
+import logging
+import os
 import time
+import typing
+import uuid
 import urllib.parse
-from typing import Callable
+from typing import Awaitable, Callable, Optional
 import dingtalk_stream  # type: ignore
 import websockets
 from .EchoHandler import EchoTextHandler
+from .card_callback import DingTalkCardActionHandler
 from .dingtalkevent import DingTalkEvent
 import httpx
 import traceback
 
 
+_stdout_logger = logging.getLogger('langbot.dingtalk_api')
+
+
+DINGTALK_OPENAPI_BASE = 'https://api.dingtalk.com'
+
+
+def _stringify_card_param_map(card_param_map: Optional[dict]) -> dict:
+    """DingTalk cardParamMap only accepts string values.
+
+    Keep callers free to pass structured values for template variables such
+    as button groups or select options, then encode them once at the API
+    boundary.
+    """
+    if not card_param_map:
+        return {}
+    result = {}
+    for key, value in card_param_map.items():
+        if value is None:
+            result[key] = ''
+        elif isinstance(value, str):
+            result[key] = value
+        else:
+            result[key] = json.dumps(value, ensure_ascii=False)
+    return result
+
+
 class DingTalkClient:
     def __init__(
         self,
@@ -21,6 +52,7 @@ class DingTalkClient:
         robot_code: str,
         markdown_card: bool,
         logger: None,
+        card_action_callback: Optional[Callable[[dict], Awaitable[None]]] = None,
     ):
         """初始化 WebSocket 连接并自动启动"""
         self.credential = dingtalk_stream.Credential(client_id, client_secret)
@@ -30,6 +62,14 @@ class DingTalkClient:
         # 在 DingTalkClient 中传入自己作为参数，避免循环导入
         self.EchoTextHandler = EchoTextHandler(self)
         self.client.register_callback_handler(dingtalk_stream.chatbot.ChatbotMessage.TOPIC, self.EchoTextHandler)
+        # STREAM-mode card action button click handler. Forwards parsed payload
+        # to the adapter so it can resume paused Dify workflows.
+        self.card_action_callback = card_action_callback
+        self.card_action_handler = DingTalkCardActionHandler(self.client, self._on_card_action)
+        self.client.register_callback_handler(
+            dingtalk_stream.handlers.CallbackHandler.TOPIC_CARD_CALLBACK,
+            self.card_action_handler,
+        )
         self._message_handlers = {
             'example': [],
         }
@@ -39,8 +79,24 @@ class DingTalkClient:
         self.access_token_expiry_time = ''
         self.markdown_card = markdown_card
         self.logger = logger
+        # Legacy access_token used by the OLD oapi.dingtalk.com endpoints
+        # (e.g. /media/upload, which is the only documented way to get an
+        # `@xxx` media_id usable in card Avatar.imageUrl). The new v1.0
+        # token doesn't work there — different auth domain.
+        self.legacy_access_token = ''
+        self.legacy_access_token_expiry_time: typing.Optional[float] = None
         self._stopped = False  # Flag to control the event loop
 
+    async def _on_card_action(self, payload: dict) -> None:
+        """Dispatch a parsed card-action payload to the adapter callback."""
+        if self.card_action_callback is None:
+            return
+        try:
+            await self.card_action_callback(payload)
+        except Exception:
+            if self.logger:
+                await self.logger.error(f'DingTalk card action callback error: {traceback.format_exc()}')
+
     async def get_access_token(self):
         url = 'https://api.dingtalk.com/v1.0/oauth2/accessToken'
         headers = {'Content-Type': 'application/json'}
@@ -429,18 +485,35 @@ class DingTalkClient:
             'Content-Type': 'application/json',
         }
 
+        # For enterprise-internal robots, robotCode == AppKey (client_id).
+        # The dedicated robot_code field is only required for scenario-group
+        # robots or third-party robots; fall back to client_id when empty so
+        # the common single-bot setup keeps working without manual config.
+        robot_code = self.robot_code or self.key
         data = {
-            'robotCode': self.robot_code,
+            'robotCode': robot_code,
             'userIds': [target_id],
             'msgKey': 'sampleText',
             'msgParam': json.dumps({'content': content}),
         }
+        _stdout_logger.info(
+            'DingTalk send_proactive_message_to_one request: robotCode=%s target_id=%s content_len=%d',
+            robot_code,
+            target_id,
+            len(content),
+        )
         try:
             async with httpx.AsyncClient() as client:
                 response = await client.post(url, headers=headers, json=data)
+                _stdout_logger.info(
+                    'DingTalk send_proactive_message_to_one response: status=%d body=%s',
+                    response.status_code,
+                    response.text[:500],
+                )
                 if response.status_code == 200:
                     return
         except Exception:
+            _stdout_logger.exception('DingTalk send_proactive_message_to_one error')
             await self.logger.error(f'failed to send proactive massage to person: {traceback.format_exc()}')
             raise Exception(f'failed to send proactive massage to person: {traceback.format_exc()}')
 
@@ -456,7 +529,7 @@ class DingTalkClient:
         }
 
         data = {
-            'robotCode': self.robot_code,
+            'robotCode': self.robot_code or self.key,
             'openConversationId': target_id,
             'msgKey': 'sampleText',
             'msgParam': json.dumps({'content': content}),
@@ -477,47 +550,334 @@ class DingTalkClient:
         quote_origin: bool = False,
         card_auto_layout: bool = False,
     ):
-        card_data = {}
+        """Create + deliver the streaming chat card for a chatbot reply.
-        card_data['config'] = json.dumps({'autoLayout': card_auto_layout})
-        card_data['content'] = ''
 
-        # 将用户的消息内容作为卡片的查询参数，方便后续处理
+        Replaces the old `dingtalk_stream.AICardReplier`-based path. Returns
-        if incoming_message.message_type == 'text':
+        `(None, out_track_id)` to keep call sites compatible with the
-            card_data['query'] = incoming_message.get_text_list()[0]
+        previous `(card_instance, card_instance_id)` shape — the first slot
+        is unused now that everything is driven by out_track_id.
+        """
+        out_track_id = uuid.uuid4().hex
+        is_group = str(incoming_message.conversation_type) == '2'
+        if is_group:
+            open_space_id = f'dtv1.card//IM_GROUP.{incoming_message.conversation_id}'
         else:
-            card_data['query'] = '...'
+            open_space_id = f'dtv1.card//IM_ROBOT.{incoming_message.sender_staff_id}'
 
-        card_instance = dingtalk_stream.AICardReplier(self.client, incoming_message)
+        card_param_map = {'content': ''}
-        # print(card_instance)
+        if incoming_message.message_type == 'text':
-        # 先投放卡片: https://open.dingtalk.com/document/orgapp/create-and-deliver-cards
+            card_param_map['query'] = incoming_message.get_text_list()[0]
-        card_instance_id = await card_instance.async_create_and_deliver_card(
+        else:
-            temp_card_id,
+            card_param_map['query'] = '...'
-            card_data,
+
+        await self.create_and_deliver_card(
+            card_template_id=temp_card_id,
+            out_track_id=out_track_id,
+            open_space_id=open_space_id,
+            is_group=is_group,
+            card_param_map=card_param_map,
+            card_data_config={'autoLayout': card_auto_layout},
         )
-        return card_instance, card_instance_id
+        return None, out_track_id
 
     async def send_card_message(self, card_instance, card_instance_id: str, content: str, is_final: bool):
-        content_key = 'content'
+        """Stream a single chunk into an existing card's `content` field."""
         try:
-            await card_instance.async_streaming(
+            await self.streaming_update_card(
-                card_instance_id,
+                out_track_id=card_instance_id,
-                content_key=content_key,
+                content_key='content',
                 content_value=content,
                 append=False,
                 finished=is_final,
                 failed=False,
             )
         except Exception as e:
-            self.logger.exception(e)
+            if self.logger:
-            await card_instance.async_streaming(
+                self.logger.exception(e)
-                card_instance_id,
+            await self.streaming_update_card(
-                content_key=content_key,
+                out_track_id=card_instance_id,
+                content_key='content',
                 content_value='',
                 append=False,
                 finished=is_final,
                 failed=True,
             )
 
+    async def create_and_deliver_card(
+        self,
+        *,
+        card_template_id: str,
+        out_track_id: str,
+        open_space_id: str,
+        is_group: bool,
+        card_param_map: Optional[dict] = None,
+        callback_type: str = 'STREAM',
+        callback_route_key: Optional[str] = None,
+        support_forward: bool = True,
+        dynamic_data_source_configs: Optional[list] = None,
+        card_data_config: Optional[dict] = None,
+        at_user_ids: Optional[dict] = None,
+        recipients: Optional[list] = None,
+    ) -> bool:
+        """POST /v1.0/card/instances/createAndDeliver.
+
+        Mirrors the SDK's `async_create_and_deliver_card` shape but exposes
+        the dynamic-data-source config slot so we can register a pull URL
+        for variable-length button lists.
+        """
+        if not await self.check_access_token():
+            await self.get_access_token()
+
+        cardData: dict = {'cardParamMap': _stringify_card_param_map(card_param_map)}
+        if card_data_config is not None:
+            cardData['config'] = json.dumps(card_data_config)
+
+        body: dict = {
+            'cardTemplateId': card_template_id,
+            'outTrackId': out_track_id,
+            'cardData': cardData,
+            'callbackType': callback_type,
+            'openSpaceId': open_space_id,
+            'imGroupOpenSpaceModel': {'supportForward': support_forward},
+            'imRobotOpenSpaceModel': {'supportForward': support_forward},
+        }
+        if callback_type == 'HTTP' and callback_route_key:
+            body['callbackRouteKey'] = callback_route_key
+
+        if is_group:
+            deliver: dict = {'robotCode': self.robot_code or self.key}
+            if at_user_ids:
+                deliver['atUserIds'] = at_user_ids
+            if recipients is not None:
+                deliver['recipients'] = recipients
+            body['imGroupOpenDeliverModel'] = deliver
+        else:
+            body['imRobotOpenDeliverModel'] = {'spaceType': 'IM_ROBOT'}
+
+        if dynamic_data_source_configs:
+            body['openDynamicDataConfig'] = {'dynamicDataSourceConfigs': dynamic_data_source_configs}
+
+        url = f'{DINGTALK_OPENAPI_BASE}/v1.0/card/instances/createAndDeliver'
+        headers = {
+            'x-acs-dingtalk-access-token': self.access_token,
+            'Content-Type': 'application/json',
+        }
+        try:
+            _stdout_logger.info(
+                'DingTalk createAndDeliver request body: %s',
+                json.dumps(body, ensure_ascii=False)[:1500],
+            )
+            async with httpx.AsyncClient() as client:
+                response = await client.post(url, headers=headers, json=body, timeout=30.0)
+                if response.status_code == 200:
+                    _stdout_logger.info(
+                        'DingTalk createAndDeliver response: %s',
+                        response.text[:500],
+                    )
+                    return True
+                _stdout_logger.error(
+                    'DingTalk createAndDeliver failed: status=%s body=%s',
+                    response.status_code,
+                    response.text,
+                )
+                if self.logger:
+                    await self.logger.error(
+                        f'DingTalk createAndDeliver failed: status={response.status_code} body={response.text}'
+                    )
+                return False
+        except Exception:
+            _stdout_logger.exception('DingTalk createAndDeliver error')
+            if self.logger:
+                await self.logger.error(f'DingTalk createAndDeliver error: {traceback.format_exc()}')
+            return False
+
+    async def streaming_update_card(
+        self,
+        *,
+        out_track_id: str,
+        content_key: str,
+        content_value: str,
+        append: bool,
+        finished: bool,
+        failed: bool = False,
+    ) -> bool:
+        """PUT /v1.0/card/streaming.
+
+        Replaces `dingtalk_stream.AICardReplier.async_streaming` — same body
+        shape (outTrackId / guid / key / content / isFull / isFinalize /
+        isError) per the SDK source.
+        """
+        if not await self.check_access_token():
+            await self.get_access_token()
+
+        body = {
+            'outTrackId': out_track_id,
+            'guid': uuid.uuid4().hex,
+            'key': content_key,
+            'content': content_value,
+            'isFull': not append,
+            'isFinalize': finished,
+            'isError': failed,
+        }
+        url = f'{DINGTALK_OPENAPI_BASE}/v1.0/card/streaming'
+        headers = {
+            'x-acs-dingtalk-access-token': self.access_token,
+            'Content-Type': 'application/json',
+        }
+        try:
+            async with httpx.AsyncClient() as client:
+                response = await client.put(url, headers=headers, json=body, timeout=30.0)
+                if response.status_code == 200:
+                    return True
+                if self.logger:
+                    await self.logger.error(
+                        f'DingTalk card streaming failed: status={response.status_code} body={response.text}'
+                    )
+                return False
+        except Exception:
+            if self.logger:
+                await self.logger.error(f'DingTalk card streaming error: {traceback.format_exc()}')
+            return False
+
+    async def update_card_data(
+        self,
+        *,
+        out_track_id: str,
+        card_param_map: Optional[dict] = None,
+        private_data: Optional[dict] = None,
+    ) -> bool:
+        """PUT /v1.0/card/instances — non-streaming card content update."""
+        if not await self.check_access_token():
+            await self.get_access_token()
+
+        body: dict = {
+            'outTrackId': out_track_id,
+            'cardData': {'cardParamMap': _stringify_card_param_map(card_param_map)},
+        }
+        if private_data:
+            body['privateData'] = private_data
+
+        url = f'{DINGTALK_OPENAPI_BASE}/v1.0/card/instances'
+        headers = {
+            'x-acs-dingtalk-access-token': self.access_token,
+            'Content-Type': 'application/json',
+        }
+        try:
+            _stdout_logger.info(
+                'DingTalk update_card_data request: out_track_id=%s body=%s',
+                out_track_id,
+                json.dumps(body, ensure_ascii=False)[:1500],
+            )
+            async with httpx.AsyncClient() as client:
+                response = await client.put(url, headers=headers, json=body, timeout=30.0)
+                _stdout_logger.info(
+                    'DingTalk update_card_data response: status=%d body=%s',
+                    response.status_code,
+                    response.text[:300],
+                )
+                if response.status_code == 200:
+                    return True
+                if self.logger:
+                    await self.logger.error(
+                        f'DingTalk update card failed: status={response.status_code} body={response.text}'
+                    )
+                return False
+        except Exception:
+            _stdout_logger.exception('DingTalk update_card_data error')
+            if self.logger:
+                await self.logger.error(f'DingTalk update card error: {traceback.format_exc()}')
+            return False
+
+    async def get_legacy_access_token(self) -> Optional[str]:
+        """Fetch the LEGACY (oapi.dingtalk.com) access_token. This is a
+        different auth domain from the v1.0 token cached in
+        ``self.access_token`` — only the legacy token authorises the
+        ``/media/upload`` endpoint that returns an ``@xxx`` media_id
+        consumable by card components like Avatar.imageUrl.
+
+        Returns the token string on success, None on failure. Caches
+        with a 60s safety margin before the documented 7200s expiry.
+        """
+        now = time.time()
+        if (
+            self.legacy_access_token
+            and self.legacy_access_token_expiry_time
+            and now < self.legacy_access_token_expiry_time
+        ):
+            return self.legacy_access_token
+
+        url = 'https://oapi.dingtalk.com/gettoken'
+        try:
+            async with httpx.AsyncClient() as client:
+                response = await client.get(url, params={'appkey': self.key, 'appsecret': self.secret}, timeout=15.0)
+            data = response.json() if response.status_code == 200 else {}
+            if data.get('errcode') == 0 and data.get('access_token'):
+                self.legacy_access_token = data['access_token']
+                expires_in = int(data.get('expires_in', 7200))
+                self.legacy_access_token_expiry_time = now + expires_in - 60
+                return self.legacy_access_token
+            if self.logger:
+                await self.logger.error(
+                    f'DingTalk legacy gettoken failed: status={response.status_code} body={response.text[:200]}'
+                )
+        except Exception:
+            _stdout_logger.exception('DingTalk legacy gettoken error')
+            if self.logger:
+                await self.logger.error(f'DingTalk legacy gettoken error: {traceback.format_exc()}')
+        return None
+
+    async def upload_image_media(self, file_path: str) -> Optional[str]:
+        """Upload an image file to DingTalk media storage and return the
+        ``@xxx`` media_id, which can be passed straight into card variables
+        like Avatar.imageUrl. Endpoint:
+
+            POST https://oapi.dingtalk.com/media/upload?access_token=…&type=image
+
+        Returns the media_id on success, None on any failure (caller
+        should handle a None gracefully — DingTalk falls back to a
+        default avatar when imageUrl is empty/unknown).
+        """
+        if not os.path.exists(file_path):
+            if self.logger:
+                await self.logger.error(f'DingTalk upload_image_media: file not found {file_path}')
+            return None
+
+        token = await self.get_legacy_access_token()
+        if not token:
+            return None
+
+        url = 'https://oapi.dingtalk.com/media/upload'
+        try:
+            with open(file_path, 'rb') as f:
+                file_bytes = f.read()
+            file_name = os.path.basename(file_path)
+            # Best-effort content-type guess; DingTalk accepts the major image
+            # mime types and otherwise infers from the bytes.
+            ext = os.path.splitext(file_name)[1].lower().lstrip('.')
+            mime = {'png': 'image/png', 'jpg': 'image/jpeg', 'jpeg': 'image/jpeg', 'gif': 'image/gif'}.get(
+                ext, 'application/octet-stream'
+            )
+            async with httpx.AsyncClient() as client:
+                response = await client.post(
+                    url,
+                    params={'access_token': token, 'type': 'image'},
+                    files={'media': (file_name, file_bytes, mime)},
+                    timeout=30.0,
+                )
+            data = response.json() if response.status_code == 200 else {}
+            if data.get('errcode') == 0 and data.get('media_id'):
+                _stdout_logger.info('DingTalk upload_image_media OK: media_id=%s', data['media_id'])
+                return data['media_id']
+            if self.logger:
+                await self.logger.error(
+                    f'DingTalk upload_image_media failed: status={response.status_code} body={response.text[:300]}'
+                )
+        except Exception:
+            _stdout_logger.exception('DingTalk upload_image_media error')
+            if self.logger:
+                await self.logger.error(f'DingTalk upload_image_media error: {traceback.format_exc()}')
+        return None
+
     async def start(self):
         """启动 WebSocket 连接，监听消息"""
         self._stopped = False
@@ -525,7 +885,10 @@ class DingTalkClient:
 
         while not self._stopped:
             try:
-                connection = self.client.open_connection()
+                # open_connection performs blocking network I/O in the DingTalk SDK.
+                # Run it off the event loop so connection stalls do not block the
+                # LangBot HTTP server and other async tasks.
+                connection = await asyncio.to_thread(self.client.open_connection)
 
                 if not connection:
                     if self.logger:

src/langbot/libs/dingtalk_api/card_callback.py

@@ -0,0 +1,106 @@
+"""STREAM-mode handler for DingTalk card action button clicks.
+
+DingTalk delivers card-action callbacks over the same WebSocket stream used
+for chatbot messages, under the topic `/v1.0/card/instances/callback`. This
+module subclasses `dingtalk_stream.CallbackHandler` and forwards the parsed
+payload to a coroutine the adapter registers, so the resume-paused-workflow
+logic stays in the platform adapter where it belongs.
+
+The `CardCallbackMessage` returned by `from_dict` exposes:
+
+* `card_instance_id` (from `outTrackId`) — the card whose button was clicked
+* `user_id`  — the clicker's userId
+* `content`  — parsed JSON; the click params live here. Where exactly inside
+               `content` they sit depends on the template binding. We probe
+               the common paths.
+* `extension` — parsed JSON; any extra data we set when delivering the card.
+"""
+
+from __future__ import annotations
+
+from typing import Awaitable, Callable, Optional
+
+import dingtalk_stream  # type: ignore
+from dingtalk_stream import AckMessage
+from dingtalk_stream.card_callback import CardCallbackMessage
+
+
+_PARAM_PATHS = (
+    ('params',),
+    ('cardPrivateData', 'params'),
+    ('userPrivateData', 'params'),
+    ('actionData', 'cardPrivateData', 'params'),
+)
+
+
+def _extract_params(content: dict) -> dict:
+    """Return the action params dict regardless of where the template put it."""
+    for path in _PARAM_PATHS:
+        node = content
+        for key in path:
+            if not isinstance(node, dict):
+                node = None
+                break
+            node = node.get(key)
+            if node is None:
+                break
+        if isinstance(node, dict) and node:
+            return node
+    return {}
+
+
+def _merge_params(*sources: dict) -> dict:
+    merged = {}
+    for source in sources:
+        if isinstance(source, dict):
+            merged.update(source)
+    return merged
+
+
+class DingTalkCardActionHandler(dingtalk_stream.CallbackHandler):
+    def __init__(
+        self,
+        dingtalk_stream_client,
+        on_action: Optional[Callable[[dict], Awaitable[None]]] = None,
+    ):
+        super().__init__()
+        self.dingtalk_client = dingtalk_stream_client
+        self.on_action = on_action
+
+    async def process(self, callback: dingtalk_stream.CallbackMessage):
+        try:
+            message = CardCallbackMessage.from_dict(callback.data)
+            content = message.content if isinstance(message.content, dict) else {}
+
+            # `CardCallbackMessage.from_dict` does not surface `actionId` (the
+            # top-level field that ButtonGroup's sendCardRequest event puts
+            # there). Pull it from the raw callback.data instead.
+            raw = callback.data if isinstance(callback.data, dict) else {}
+            params = _merge_params(_extract_params(content), _extract_params(raw))
+            action_id = raw.get('actionId') or ''
+            if not action_id:
+                # Some templates nest it under actionData / cardPrivateData.
+                action_data = raw.get('actionData') or {}
+                if isinstance(action_data, dict):
+                    action_id = action_data.get('actionId') or action_id
+                    if not action_id:
+                        cpd = action_data.get('cardPrivateData') or {}
+                        if isinstance(cpd, dict):
+                            ids = cpd.get('actionIds')
+                            if isinstance(ids, list) and ids:
+                                action_id = str(ids[0])
+
+            payload = {
+                'out_track_id': message.card_instance_id,
+                'user_id': message.user_id,
+                'corp_id': message.corp_id,
+                'action_id': action_id,
+                'params': params,
+                'raw_content': message.content,
+                'extension': message.extension if isinstance(message.extension, dict) else {},
+            }
+            if self.on_action is not None:
+                await self.on_action(payload)
+        except Exception as e:
+            self.logger.error(f'DingTalkCardActionHandler.process error: {e}')
+        return AckMessage.STATUS_OK, 'OK'

src/langbot/libs/qq_official_api/api.py

@@ -12,6 +12,142 @@ import traceback
 from cryptography.hazmat.primitives.asymmetric import ed25519
 
 
+QQ_SELECT_ACTION_PREFIX = '__langbot_select__:'
+
+
+def get_select_field_options(form_data: dict) -> tuple[str, list[str]]:
+    """Return the active select field name and its display/submission values."""
+    field_name = str(form_data.get('_current_input_field') or '').strip()
+    if not field_name:
+        return '', []
+
+    field = next(
+        (
+            item
+            for item in form_data.get('input_defs') or []
+            if str(item.get('output_variable_name') or '').strip() == field_name
+        ),
+        None,
+    )
+    if not field or str(field.get('type') or '').strip().lower() != 'select':
+        return '', []
+
+    source = field.get('option_source') or {}
+    source_value = source.get('value') if isinstance(source, dict) else None
+    if isinstance(source_value, list):
+        return field_name, [str(item) for item in source_value]
+    if isinstance(source_value, str):
+        return field_name, [part.strip() for part in source_value.splitlines() if part.strip()]
+
+    options = field.get('options')
+    if not isinstance(options, list):
+        return field_name, []
+    values = []
+    for item in options:
+        if isinstance(item, dict):
+            values.append(str(item.get('label') or item.get('value') or ''))
+        else:
+            values.append(str(item))
+    return field_name, [value for value in values if value]
+
+
+def build_keyboard_from_select_field(form_data: dict, *, buttons_per_row: int | None = None) -> dict:
+    """Build callback buttons for the currently active Dify select field."""
+    _, options = get_select_field_options(form_data)
+    visible_options = options[:25]
+    if buttons_per_row is None:
+        # Keep small choices readable while fitting up to QQ's 5x5 limit.
+        buttons_per_row = min(5, max(2, (len(visible_options) + 4) // 5))
+    selection_actions = [
+        {
+            'id': f'{QQ_SELECT_ACTION_PREFIX}{idx}',
+            'title': option,
+            'button_style': 'secondary',
+        }
+        for idx, option in enumerate(visible_options)
+    ]
+    return build_keyboard_from_form({'actions': selection_actions}, buttons_per_row=buttons_per_row)
+
+
+def resolve_select_button_action(form_data: dict, action_id: str) -> tuple[str, str] | None:
+    """Resolve a select-button callback to ``(field_name, option_value)``."""
+    if not action_id.startswith(QQ_SELECT_ACTION_PREFIX):
+        return None
+    try:
+        option_index = int(action_id[len(QQ_SELECT_ACTION_PREFIX) :])
+    except ValueError:
+        return None
+
+    field_name, options = get_select_field_options(form_data)
+    if not field_name or option_index < 0 or option_index >= len(options) or option_index >= 25:
+        return None
+    return field_name, options[option_index]
+
+
+def build_keyboard_from_form(form_data: dict, *, buttons_per_row: int = 2) -> dict:
+    """Build a QQ keyboard JSON payload from a Dify human-input form_data.
+
+    Each Dify ``action`` becomes a callback button (``action.type=1``)
+    whose ``data`` is set directly to the Dify ``action_id``. The
+    INTERACTION_CREATE event carries this back as
+    ``data.resolved.button_data`` so the adapter can match the click to
+    the originating form.
+
+    Layout limits per spec: max 5 rows, max 5 buttons per row. We default
+    to 2 buttons per row for legibility; oversized button lists wrap
+    onto additional rows and overflow gets dropped (max 25 visible).
+
+    Args:
+        form_data: Dify ``{"actions": [{"id", "title", "button_style"}, ...]}``.
+        buttons_per_row: 1..5. Mobile UI looks best at 2.
+
+    Returns:
+        ``{"content": {"rows": [{"buttons": [...]}]}}``.
+    """
+    actions = list(form_data.get('actions') or [])[:25]  # 5×5 hard cap
+    buttons_per_row = max(1, min(5, buttons_per_row))
+
+    def _button(idx: int, action: dict) -> dict:
+        action_id = str(action.get('id') or '')
+        label = str(action.get('title') or action_id or f'选项 {idx + 1}')
+        style_raw = (action.get('button_style') or '').lower()
+        # QQ: 0 灰色线框, 1 蓝色线框. Highlight the primary / first action.
+        if style_raw == 'primary' or (style_raw == '' and idx == 0):
+            style = 1
+        else:
+            style = 0
+        return {
+            'id': str(idx + 1),
+            'render_data': {
+                'label': label,
+                # Shown after the user clicks — gives local "已选择" feedback
+                # without a follow-up message. Style mimics DingTalk/Lark's
+                # in-card selection state.
+                'visited_label': f'✓ {label}',
+                'style': style,
+            },
+            'action': {
+                'type': 1,  # callback button
+                'permission': {'type': 2},  # everyone can click
+                'data': action_id,
+                'unsupport_tips': '当前客户端版本不支持此按钮，请升级 QQ',
+            },
+        }
+
+    rows = []
+    for row_start in range(0, len(actions), buttons_per_row):
+        row_actions = actions[row_start : row_start + buttons_per_row]
+        rows.append(
+            {
+                'buttons': [_button(row_start + j, a) for j, a in enumerate(row_actions)],
+            }
+        )
+        if len(rows) >= 5:
+            break
+
+    return {'content': {'rows': rows}}
+
+
 class QQOfficialClient:
     def __init__(self, secret: str, token: str, app_id: str, logger: None, unified_mode: bool = False):
         self.unified_mode = unified_mode
@@ -30,6 +166,10 @@ class QQOfficialClient:
         self.token = token
         self.app_id = app_id
         self._message_handlers = {}
+        # Single optional handler for INTERACTION_CREATE (button click). We
+        # don't multiplex like message handlers — only the adapter cares,
+        # and the click<->resume path needs a single source of truth.
+        self._interaction_handler: Optional[Callable[[Dict[str, Any], Optional[str]], Any]] = None
         self.base_url = 'https://api.sgroup.qq.com'
         self.access_token = ''
         self.access_token_expiry_time = None
@@ -107,6 +247,23 @@ class QQOfficialClient:
                 return response, 200
 
             if payload.get('op') == 0:
+                # INTERACTION_CREATE (button click) skips ``get_message`` —
+                # that helper only flattens message-event fields and would
+                # drop ``data.resolved.button_data`` / ``data.button_id``.
+                if payload.get('t') == 'INTERACTION_CREATE':
+                    if self._interaction_handler:
+                        try:
+                            d = payload.get('d') or {}
+                            # Top-level ``id`` is the ws/event id used as
+                            # ``event_id`` for passive replies. ``d.id``
+                            # is the interaction id used for ACK. Do not
+                            # confuse the two — QQ rejects misuse with
+                            # 40034025.
+                            ws_event_id = payload.get('id')
+                            await self._interaction_handler(d, ws_event_id)
+                        except Exception:
+                            await self.logger.error(f'Error in interaction handler: {traceback.format_exc()}')
+                    return {'code': 0, 'message': 'success'}
                 message_data = await self.get_message(payload)
                 if message_data:
                     event = QQOfficialEvent.from_payload(message_data)
@@ -133,6 +290,21 @@ class QQOfficialClient:
 
         return decorator
 
+    def on_interaction(self):
+        """Register a single handler for INTERACTION_CREATE events.
+
+        The handler receives ``(data_dict, interaction_id)`` — the raw
+        ``d`` payload plus the top-level ``id`` field (the interaction
+        id, needed for the PUT /interactions/{id} ack and for reuse as
+        an ``event_id`` on the resumed reply within 30 minutes).
+        """
+
+        def decorator(func: Callable[[Dict[str, Any], Optional[str]], Any]):
+            self._interaction_handler = func
+            return func
+
+        return decorator
+
     async def _handle_message(self, event: QQOfficialEvent):
         """处理消息事件"""
         msg_type = event.t
@@ -177,8 +349,20 @@ class QQOfficialClient:
         content_type = attachment.get('content_type', '')
         return content_type.startswith('image/')
 
-    async def send_private_text_msg(self, user_openid: str, content: str, msg_id: str):
+    async def send_private_text_msg(
-        """发送私聊消息"""
+        self,
+        user_openid: str,
+        content: str,
+        msg_id: Optional[str] = None,
+        event_id: Optional[str] = None,
+        msg_seq: int = 1,
+    ):
+        """Send a c2c text message.
+
+        Either ``msg_id`` (inbound user msg, free passive reply) or
+        ``event_id`` (e.g. INTERACTION_CREATE id, valid 30 min) is
+        required. Without either, the call costs the proactive-send quota.
+        """
         if not await self.check_access_token():
             await self.get_access_token()
 
@@ -188,11 +372,15 @@ class QQOfficialClient:
                 'Authorization': f'QQBot {self.access_token}',
                 'Content-Type': 'application/json',
             }
-            data = {
+            data: dict[str, Any] = {
                 'content': content,
                 'msg_type': 0,
-                'msg_id': msg_id,
+                'msg_seq': msg_seq,
             }
+            if msg_id:
+                data['msg_id'] = msg_id
+            if event_id:
+                data['event_id'] = event_id
             response = await client.post(url, headers=headers, json=data)
             response_data = response.json()
             if response.status_code == 200:
@@ -201,8 +389,19 @@ class QQOfficialClient:
                 await self.logger.error(f'Failed to send private message: {response_data}')
                 raise ValueError(response)
 
-    async def send_group_text_msg(self, group_openid: str, content: str, msg_id: str):
+    async def send_group_text_msg(
-        """发送群聊消息"""
+        self,
+        group_openid: str,
+        content: str,
+        msg_id: Optional[str] = None,
+        event_id: Optional[str] = None,
+        msg_seq: int = 1,
+    ):
+        """Send a group text message.
+
+        Either ``msg_id`` or ``event_id`` is required (see
+        :meth:`send_private_text_msg` for the distinction).
+        """
         if not await self.check_access_token():
             await self.get_access_token()
 
@@ -212,11 +411,15 @@ class QQOfficialClient:
                 'Authorization': f'QQBot {self.access_token}',
                 'Content-Type': 'application/json',
             }
-            data = {
+            data: dict[str, Any] = {
                 'content': content,
                 'msg_type': 0,
-                'msg_id': msg_id,
+                'msg_seq': msg_seq,
             }
+            if msg_id:
+                data['msg_id'] = msg_id
+            if event_id:
+                data['event_id'] = event_id
             response = await client.post(url, headers=headers, json=data)
             if response.status_code == 200:
                 return
@@ -485,6 +688,107 @@ class QQOfficialClient:
                 raise Exception(f'Failed to send stream message: HTTP {response.status_code} {response.text}')
             return response.json()
 
+    async def send_markdown_keyboard(
+        self,
+        target_type: str,
+        target_id: str,
+        markdown_content: str,
+        keyboard: Optional[dict] = None,
+        msg_id: Optional[str] = None,
+        event_id: Optional[str] = None,
+        msg_seq: int = 1,
+    ) -> dict:
+        """Send a ``msg_type=2`` (markdown) message carrying a keyboard.
+
+        The keyboard ride-along is the only documented way to attach
+        buttons in QQ official; pure keyboard-only messages are not
+        accepted by the server (markdown content is required).
+
+        Args:
+            target_type: 'c2c' (single chat), 'group', 'channel' (text
+                channel — uses POST /channels/{id}/messages instead of v2).
+            target_id: openid for c2c/group, channel_id for channel.
+            markdown_content: Plain markdown text shown above the buttons.
+            keyboard: ``{'content': {'rows': [{'buttons': [...]}]}}`` per
+                the official spec. Use :func:`build_keyboard_from_form`
+                to construct from Dify form_data.
+            msg_id: Inbound user message id; turns this into a passive
+                reply (preferred — no monthly quota cost).
+            event_id: Use ``INTERACTION_CREATE`` event id from a prior
+                button click to keep within the 30-minute passive window
+                without an inbound msg_id.
+            msg_seq: De-dup counter when reusing msg_id.
+        """
+        if not await self.check_access_token():
+            await self.get_access_token()
+
+        if target_type == 'c2c':
+            url = f'{self.base_url}/v2/users/{target_id}/messages'
+        elif target_type == 'group':
+            url = f'{self.base_url}/v2/groups/{target_id}/messages'
+        elif target_type == 'channel':
+            url = f'{self.base_url}/channels/{target_id}/messages'
+        else:
+            raise ValueError(f'Unsupported target_type for markdown+keyboard: {target_type}')
+
+        body: dict[str, Any] = {
+            'msg_type': 2,
+            'markdown': {'content': markdown_content},
+            'msg_seq': msg_seq,
+        }
+        if keyboard and keyboard.get('content', {}).get('rows'):
+            body['keyboard'] = keyboard
+        if msg_id:
+            body['msg_id'] = msg_id
+        if event_id:
+            body['event_id'] = event_id
+
+        async with httpx.AsyncClient(timeout=30) as client:
+            headers = {
+                'Authorization': f'QQBot {self.access_token}',
+                'Content-Type': 'application/json',
+            }
+            response = await client.post(url, headers=headers, json=body)
+            if response.status_code != 200:
+                await self.logger.error(
+                    f'Failed to send markdown+keyboard: HTTP {response.status_code} {response.text}'
+                )
+                raise Exception(f'Failed to send markdown+keyboard: HTTP {response.status_code} {response.text}')
+            return response.json()
+
+    async def ack_interaction(self, interaction_id: str, code: int = 0) -> None:
+        """Acknowledge a button-click INTERACTION_CREATE event.
+
+        QQ keeps the client in a loading spinner until this ack is
+        received. Should be called as soon as the click is parsed, before
+        any heavier downstream work (the actual workflow resume can run
+        async).
+
+        Args:
+            interaction_id: The ``id`` field from the INTERACTION_CREATE event.
+            code: 0=success, 1=fail, 2=rate-limited, 3=duplicate, 4=no
+                permission, 5=admin only. Default 0.
+        """
+        if not interaction_id:
+            return
+        if not await self.check_access_token():
+            await self.get_access_token()
+
+        url = f'{self.base_url}/interactions/{interaction_id}'
+        async with httpx.AsyncClient(timeout=10) as client:
+            headers = {
+                'Authorization': f'QQBot {self.access_token}',
+                'Content-Type': 'application/json',
+            }
+            try:
+                response = await client.put(url, headers=headers, json={'code': code})
+                if response.status_code >= 400:
+                    await self.logger.warning(
+                        f'ack_interaction non-success: HTTP {response.status_code} {response.text}'
+                    )
+            except Exception as e:
+                await self.logger.warning(f'ack_interaction error (non-fatal): {e}')
+
     async def is_token_expired(self):
         """检查token是否过期"""
         if self.access_token_expiry_time is None:
@@ -653,6 +957,12 @@ class QQOfficialClient:
                     d = payload.get('d', {})
                     s = payload.get('s')
                     t = payload.get('t')
+                    # Top-level event id, distinct from `d.id`. Per QQ
+                    # spec this is the only value accepted as ``event_id``
+                    # in subsequent passive-reply send-message calls
+                    # (``d.id`` for INTERACTION_CREATE is the interaction
+                    # id, used solely for PUT /interactions/{id} ack).
+                    ws_event_id = payload.get('id')
 
                     if not isinstance(d, dict):
                         d = {}
@@ -731,7 +1041,22 @@ class QQOfficialClient:
 
                         else:
                             await self.logger.debug(f'Received event: {t}, seq={s}')
-                            if on_event:
+                            # INTERACTION_CREATE bypasses the regular
+                            # on_event dispatcher so the adapter sees the
+                            # top-level ws_event_id (needed as event_id
+                            # for the resumed reply) — same shape as the
+                            # webhook handler.
+                            if t == 'INTERACTION_CREATE':
+                                if self._interaction_handler:
+                                    try:
+                                        result = self._interaction_handler(d, ws_event_id)
+                                        if asyncio.iscoroutine(result):
+                                            await result
+                                    except Exception:
+                                        await self.logger.error(
+                                            f'Error in interaction handler (ws): {traceback.format_exc()}'
+                                        )
+                            elif on_event:
                                 try:
                                     result = on_event(t, d)
                                     if asyncio.iscoroutine(result):

src/langbot/libs/wecom_ai_bot_api/ws_client.py

@@ -20,7 +20,19 @@ from typing import Any, Callable, Optional
 import aiohttp
 
 from langbot.libs.wecom_ai_bot_api import wecombotevent
-from langbot.libs.wecom_ai_bot_api.api import parse_wecom_bot_message, StreamSession
+from langbot.libs.wecom_ai_bot_api.api import (
+    parse_wecom_bot_message,
+    StreamSession,
+    build_human_input_template_card_payload,
+    build_human_input_text_prompt,
+    build_button_interaction_update_card,
+    build_multiple_interaction_update_card,
+    extract_template_card_action,
+    extract_template_card_event_payload,
+    extract_template_card_selections,
+    extract_wecom_event_type,
+    parse_select_button_action,
+)
 from langbot.pkg.platform.logger import EventLogger
 
 DEFAULT_WS_URL = 'wss://openws.work.weixin.qq.com'
@@ -43,6 +55,10 @@ def _generate_req_id(prefix: str) -> str:
     return f'{prefix}_{ts}_{rand}'
 
 
+def _frame_snippet(frame: dict, limit: int = 1000) -> str:
+    return json.dumps(frame, ensure_ascii=False, default=str)[:limit]
+
+
 class WecomBotWsClient:
     """WeChat Work AI Bot WebSocket long connection client.
 
@@ -103,6 +119,22 @@ class WecomBotWsClient:
         # msg_id -> feedback_id (for associating feedback with message)
         self._msg_feedback_ids: dict[str, str] = {}  # msg_id -> feedback_id
 
+        # Dify human-input pause state for ws mode. Keys are task_id (echoed
+        # back in template_card_event.TaskId so we can rebuild the session
+        # context on click).
+        # task_id -> {form_data, msg_id, user_id, chat_id, stream_id, req_id}
+        self._pending_forms_by_task: dict[str, dict] = {}
+        # Reverse: msg_id -> task_id (for cleanup when stream finishes).
+        self._task_id_by_msg: dict[str, str] = {}
+        # Optional card-action callback registered by the adapter.
+        # Signature mirrors the http-mode WecomBotClient:
+        #   async def callback(session, action_id, task_id, raw_event) -> None
+        self._card_action_callback: Optional[Callable] = None
+        # Optional `source` block injected into every interactive
+        # template_card the client builds via `push_form_pause`. Set via
+        # `set_card_source` from the adapter after reading config.
+        self.card_source: Optional[dict] = None
+
     # ── Public API ──────────────────────────────────────────────────
 
     async def connect(self):
@@ -236,6 +268,132 @@ class WecomBotWsClient:
         }
         return await self._send_reply(req_id, body)
 
+    async def reply_template_card(self, req_id: str, card_payload: dict[str, Any]) -> Optional[dict]:
+        """Send a template_card (button_interaction etc.) reply.
+
+        Args:
+            req_id: The req_id from the original message frame.
+            card_payload: Body produced by ``build_button_interaction_payload``;
+                must contain ``msgtype`` and ``template_card`` keys.
+
+        Returns:
+            ACK frame dict, or None on failure.
+        """
+        return await self._send_reply(req_id, card_payload)
+
+    async def update_template_card(
+        self,
+        req_id: str,
+        template_card: dict[str, Any],
+    ) -> Optional[dict]:
+        """Update an existing template_card via WebSocket.
+
+        Uses the ``aibot_respond_update_msg`` command.  Must be called
+        within 5 seconds of receiving the ``template_card_event`` callback,
+        using the **same req_id** from that callback.
+
+        The ``template_card`` dict should contain ``card_type`` and the
+        new content fields (e.g. ``main_title``, ``button_list`` with
+        disabled buttons and ``replace_text``).
+
+        Returns:
+            ACK frame dict, or None on failure.
+        """
+        body: dict[str, Any] = {
+            'response_type': 'update_template_card',
+            'template_card': template_card,
+        }
+        return await self._send_reply(req_id, body, cmd=CMD_RESPOND_UPDATE)
+
+    def set_card_action_callback(self, callback: Callable) -> None:
+        """Register the button-click handler.
+
+        ``async def callback(session, action_id, task_id, raw_event) -> None``
+        — same signature as the http-mode WecomBotClient version so the
+        adapter can hand both off to the same coroutine.
+        """
+        self._card_action_callback = callback
+
+    def set_card_source(self, source: Optional[dict]) -> None:
+        """Set the `source` block injected into every interactive
+        template_card pushed via `push_form_pause`. Pass None to clear."""
+        self.card_source = source
+
+    async def push_form_pause(
+        self, msg_id: str, form_data: dict, task_id: Optional[str] = None
+    ) -> tuple[bool, Optional[str], Optional[str]]:
+        """Attach a Dify human-input pause to the active stream and send
+        the button_interaction card immediately.
+
+        ws mode has no notion of polled "followup" responses — each reply
+        is a one-shot frame send. So unlike the http path (which defers
+        card delivery to the next followup), here we just craft the card
+        and reply with it on the original req_id. The corresponding stream
+        session is then torn down so subsequent chunks don't re-send.
+
+        Returns:
+            ``(ok, stream_id, task_id)``. ``ok=False`` if no active stream
+            for this msg_id (e.g. message arrived in non-stream mode).
+        """
+        key = self._stream_ids.get(msg_id)
+        if not key:
+            return False, None, None
+        req_id, stream_id = key.split('|', 1)
+
+        if not task_id:
+            task_id = f'dify-{secrets.token_hex(12)}'
+
+        session_info = self._stream_sessions.get(msg_id) or {}
+        text_prompt = build_human_input_text_prompt(form_data)
+        if text_prompt:
+            try:
+                ack = await self.reply_text(req_id, text_prompt)
+                if ack is None:
+                    return False, stream_id, None
+            except Exception:
+                await self.logger.error(f'Failed to send human-input text prompt: {traceback.format_exc()}')
+                return False, stream_id, None
+
+            self._stream_ids.pop(msg_id, None)
+            self._stream_last_content.pop(msg_id, None)
+            self._stream_sessions.pop(msg_id, None)
+            return True, stream_id, None
+
+        self._pending_forms_by_task[task_id] = {
+            'form_data': form_data,
+            'msg_id': msg_id,
+            'user_id': session_info.get('user_id', ''),
+            'chat_id': session_info.get('chat_id', ''),
+            'stream_id': stream_id,
+            'req_id': req_id,
+        }
+        self._task_id_by_msg[msg_id] = task_id
+
+        card_payload = build_human_input_template_card_payload(
+            form_data,
+            task_id,
+            source=self.card_source,
+            select_as_buttons=True,
+        )
+        try:
+            await self.reply_template_card(req_id, card_payload)
+        except Exception:
+            await self.logger.error(f'Failed to send button_interaction card: {traceback.format_exc()}')
+            # Roll back the bookkeeping so the next attempt isn't blocked.
+            self._pending_forms_by_task.pop(task_id, None)
+            self._task_id_by_msg.pop(msg_id, None)
+            return False, stream_id, None
+
+        # Tear down the stream — WeCom expects either stream chunks OR a
+        # template_card, not both on the same req_id. Subsequent
+        # push_stream_chunk calls for this msg_id become no-ops.
+        self._stream_ids.pop(msg_id, None)
+        self._stream_last_content.pop(msg_id, None)
+        # Keep _stream_sessions so the button callback can still resolve
+        # user/chat context; it gets cleaned up when the click fires.
+
+        return True, stream_id, task_id
+
     async def send_message(self, chat_id: str, content: str, msgtype: str = 'markdown') -> Optional[dict]:
         """Proactively send a message to a specified chat.
 
@@ -258,6 +416,23 @@ class WecomBotWsClient:
             body['text'] = {'content': content}
         return await self._send_reply(req_id, body, cmd=CMD_SEND_MSG)
 
+    async def send_template_card(self, chat_id: str, card_payload: dict[str, Any]) -> Optional[dict]:
+        """Proactively push a template_card to a chat.
+
+        Used for the resumed-workflow path (button click → new query):
+        synthetic events have no inbound req_id to reply against, so we
+        fall back to proactive ``aibot_send_msg`` instead of reply mode.
+
+        Args:
+            chat_id: userid (single chat) or chatid (group chat).
+            card_payload: ``{"msgtype": "template_card", "template_card": {...}}``
+                as produced by :func:`build_button_interaction_payload`.
+        """
+        req_id = _generate_req_id(CMD_SEND_MSG)
+        body = dict(card_payload)
+        body['chatid'] = chat_id
+        return await self._send_reply(req_id, body, cmd=CMD_SEND_MSG)
+
     async def push_stream_chunk(self, msg_id: str, content: str, is_final: bool = False) -> bool:
         """Push a streaming chunk for a given message ID.
 
@@ -276,10 +451,31 @@ class WecomBotWsClient:
             return False
         req_id, stream_id = key.split('|', 1)
         try:
+            previous_content = self._stream_last_content.get(msg_id, '')
+            if previous_content and content.startswith(previous_content):
+                next_content = content
+            elif previous_content and not content:
+                next_content = previous_content
+            else:
+                next_content = previous_content + content if previous_content else content
+
             # Skip sending if content hasn't changed (e.g. during tool call argument streaming)
-            if not is_final and content == self._stream_last_content.get(msg_id):
+            if not is_final and next_content == previous_content:
                 return True
 
+            # Skip empty/whitespace-only snapshots — the runner injects a
+            # zero-width space ('​') as a pass-through when workflow_paused
+            # fires without any preceding LLM output.  WeCom renders that
+            # as an empty bubble that sits before the form card; skip it.
+            # NOTE: Python str.strip() does NOT strip ​, so we use
+            # a regex that treats any character with Unicode category Zs
+            # (separator space) or Cf (format char like ZWS) as blank.
+            if not is_final:
+                import re as _re
+
+                if not _re.sub(r'[\s​‌‍]', '', next_content):
+                    return True
+
             # Generate feedback_id for final chunk
             feedback_id = ''
             if is_final:
@@ -290,8 +486,10 @@ class WecomBotWsClient:
                 if session_info:
                     self._feedback_sessions[feedback_id] = session_info
 
-            await self.reply_stream(req_id, stream_id, content, finish=is_final, feedback_id=feedback_id)
+            # WeCom replaces the displayed stream content on each refresh, so
-            self._stream_last_content[msg_id] = content
+            # every frame must contain the complete snapshot, not only a delta.
+            await self.reply_stream(req_id, stream_id, next_content, finish=is_final, feedback_id=feedback_id)
+            self._stream_last_content[msg_id] = next_content
             if is_final:
                 self._stream_ids.pop(msg_id, None)
                 self._stream_last_content.pop(msg_id, None)
@@ -465,7 +663,7 @@ class WecomBotWsClient:
             return
 
         # Unknown frame
-        await self.logger.warning(f'Unknown frame: {json.dumps(frame, ensure_ascii=False)[:200]}')
+        await self.logger.warning(f'Unknown frame: {_frame_snippet(frame)}')
 
     async def _handle_message_callback(self, frame: dict):
         """Handle an incoming message callback frame."""
@@ -473,6 +671,13 @@ class WecomBotWsClient:
             body = frame.get('body', {})
             req_id = frame.get('headers', {}).get('req_id', '')
 
+            event_type = extract_wecom_event_type(body)
+            if event_type == 'template_card_event':
+                await self._handle_template_card_event_frame(frame, body)
+                return
+            if event_type:
+                await self.logger.debug(f'Received msg_callback event_type={event_type}: {_frame_snippet(frame)}')
+
             # Parse message using shared logic
             message_data = await parse_wecom_bot_message(body, self.encoding_aes_key, self.logger)
             if not message_data:
@@ -506,8 +711,12 @@ class WecomBotWsClient:
             body = frame.get('body', {})
             req_id = frame.get('headers', {}).get('req_id', '')
 
-            event_info = body.get('event', {})
+            event_info = body.get('event', {}) if isinstance(body.get('event'), dict) else body
-            event_type = event_info.get('eventtype', '')
+            event_type = extract_wecom_event_type(body)
+            if not event_type:
+                await self.logger.warning(f'Received event_callback without event_type: {_frame_snippet(frame)}')
+            else:
+                await self.logger.debug(f'Received event_callback event_type={event_type}')
 
             message_data = {
                 'msgtype': 'event',
@@ -568,6 +777,10 @@ class WecomBotWsClient:
                         await self.logger.error(f'Error in feedback handler: {traceback.format_exc()}')
                 return
 
+            if event_type == 'template_card_event':
+                await self._handle_template_card_event_frame(frame, body)
+                return
+
             event = wecombotevent.WecomBotEvent(message_data)
 
             if event_type in self._message_handlers:
@@ -581,6 +794,72 @@ class WecomBotWsClient:
         except Exception:
             await self.logger.error(f'Error in event callback: {traceback.format_exc()}')
 
+    async def _handle_template_card_event_frame(self, frame: dict, body: dict):
+        """Handle template_card_event frames from event_callback or msg_callback."""
+        tce = extract_template_card_event_payload(body)
+        task_id, event_key, card_type = extract_template_card_action(tce)
+        await self.logger.info(
+            f'Received template_card_event (ws): task_id={task_id} event_key={event_key!r} card_type={card_type}'
+        )
+
+        pending = self._pending_forms_by_task.get(task_id)
+        if pending is None:
+            await self.logger.warning(f'No pending_form found for task_id={task_id} (ws); card event ignored')
+            return
+
+        req_id_for_update = frame.get('headers', {}).get('req_id', '')
+        form_data = pending.get('form_data', {}) or {}
+        selections = extract_template_card_selections(tce, form_data)
+        if not selections:
+            selections = parse_select_button_action(event_key, form_data)
+        if card_type == 'multiple_interaction' and not selections:
+            await self.logger.warning(
+                f'multiple_interaction callback has no parseable selections (ws): raw={str(tce)[:1000]}'
+            )
+            self._drop_pending_form_task(task_id, pending)
+            return
+
+        update_card = build_button_interaction_update_card(
+            form_data,
+            task_id,
+            event_key,
+            source=self.card_source,
+        )
+        if card_type == 'multiple_interaction' or selections:
+            update_card = build_multiple_interaction_update_card(
+                form_data,
+                task_id,
+                selections,
+                source=self.card_source,
+            )
+        try:
+            await self.update_template_card(req_id_for_update, update_card)
+        except Exception:
+            await self.logger.warning(f'Failed to update template card (ws): {traceback.format_exc()}')
+
+        if self._card_action_callback is not None:
+            try:
+                session = StreamSession(
+                    stream_id=pending.get('stream_id', ''),
+                    msg_id=pending.get('msg_id', ''),
+                    chat_id=pending.get('chat_id') or None,
+                    user_id=pending.get('user_id') or None,
+                )
+                session.pending_form = pending.get('form_data')
+                session.pending_form_task_id = task_id
+                await self._card_action_callback(session, event_key, task_id, body)
+            except Exception:
+                await self.logger.error(f'card action callback raised (ws): {traceback.format_exc()}')
+
+        self._drop_pending_form_task(task_id, pending)
+
+    def _drop_pending_form_task(self, task_id: str, pending: dict) -> None:
+        self._pending_forms_by_task.pop(task_id, None)
+        msg_id = pending.get('msg_id', '')
+        if msg_id:
+            self._task_id_by_msg.pop(msg_id, None)
+            self._stream_sessions.pop(msg_id, None)
+
     async def _dispatch_event(self, event: wecombotevent.WecomBotEvent):
         """Dispatch a message event to registered handlers with deduplication."""
         try:

src/langbot/pkg/api/http/controller/groups/box.py

@@ -1,6 +1,9 @@
 from __future__ import annotations
 
+from langbot.pkg.utils import constants
+
 from .. import group
+from .box_visibility import should_hide_box_runtime_status
 
 
 @group.group_class('box', '/api/v1/box')
@@ -9,6 +12,7 @@ class BoxRouterGroup(group.RouterGroup):
         @self.route('/status', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
         async def _() -> str:
             status = await self.ap.box_service.get_status()
+            status['hidden'] = should_hide_box_runtime_status(constants.edition, status.get('enabled'))
             return self.success(data=status)
 
         @self.route('/sessions', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)

src/langbot/pkg/api/http/controller/groups/box_visibility.py

@@ -0,0 +1,5 @@
+from __future__ import annotations
+
+
+def should_hide_box_runtime_status(edition: str, box_enabled: bool | None) -> bool:
+    return edition == 'cloud' and box_enabled is False

src/langbot/pkg/api/http/controller/groups/monitoring.py

@@ -138,6 +138,39 @@ class MonitoringRouterGroup(group.RouterGroup):
                 }
             )
 
+        @self.route('/tool-calls', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
+        async def get_tool_calls() -> str:
+            """Get tool call records"""
+            bot_ids = quart.request.args.getlist('botId')
+            pipeline_ids = quart.request.args.getlist('pipelineId')
+            session_ids = quart.request.args.getlist('sessionId')
+            start_time_str = quart.request.args.get('startTime')
+            end_time_str = quart.request.args.get('endTime')
+            limit = int(quart.request.args.get('limit', 100))
+            offset = int(quart.request.args.get('offset', 0))
+
+            start_time = parse_iso_datetime(start_time_str)
+            end_time = parse_iso_datetime(end_time_str)
+
+            tool_calls, total = await self.ap.monitoring_service.get_tool_calls(
+                bot_ids=bot_ids if bot_ids else None,
+                pipeline_ids=pipeline_ids if pipeline_ids else None,
+                session_ids=session_ids if session_ids else None,
+                start_time=start_time,
+                end_time=end_time,
+                limit=limit,
+                offset=offset,
+            )
+
+            return self.success(
+                data={
+                    'tool_calls': tool_calls,
+                    'total': total,
+                    'limit': limit,
+                    'offset': offset,
+                }
+            )
+
         @self.route('/embedding-calls', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
         async def get_embedding_calls() -> str:
             """Get embedding call records"""
@@ -284,6 +317,16 @@ class MonitoringRouterGroup(group.RouterGroup):
                 offset=0,
             )
 
+            # Get tool calls
+            tool_calls, tool_calls_total = await self.ap.monitoring_service.get_tool_calls(
+                bot_ids=bot_ids if bot_ids else None,
+                pipeline_ids=pipeline_ids if pipeline_ids else None,
+                start_time=start_time,
+                end_time=end_time,
+                limit=limit,
+                offset=0,
+            )
+
             # Get sessions
             sessions, sessions_total = await self.ap.monitoring_service.get_sessions(
                 bot_ids=bot_ids if bot_ids else None,
@@ -318,12 +361,14 @@ class MonitoringRouterGroup(group.RouterGroup):
                     'overview': overview,
                     'messages': messages,
                     'llmCalls': llm_calls,
+                    'toolCalls': tool_calls,
                     'embeddingCalls': embedding_calls,
                     'sessions': sessions,
                     'errors': errors,
                     'totalCount': {
                         'messages': messages_total,
                         'llmCalls': llm_calls_total,
+                        'toolCalls': tool_calls_total,
                         'embeddingCalls': embedding_calls_total,
                         'sessions': sessions_total,
                         'errors': errors_total,

src/langbot/pkg/api/http/controller/groups/pipelines/embed.py

@@ -21,7 +21,7 @@ import quart
 
 from ... import group
 from ......utils import paths
-from ......platform.sources.websocket_manager import ws_connection_manager
+from ......platform.sources.websocket_manager import is_valid_session_id, ws_connection_manager
 
 logger = logging.getLogger(__name__)
 
@@ -203,11 +203,15 @@ class EmbedRouterGroup(group.RouterGroup):
                 if session_type not in ['person', 'group']:
                     return self.http_status(400, -1, 'session_type must be person or group')
 
+                session_id = quart.request.args.get('session_id', '')
+                if not is_valid_session_id(session_id):
+                    return self.http_status(400, -1, 'Valid session_id is required')
+
                 websocket_adapter = self.ap.platform_mgr.websocket_proxy_bot.adapter
                 if not websocket_adapter:
                     return self.http_status(404, -1, 'WebSocket adapter not found')
 
-                messages = websocket_adapter.get_websocket_messages(pipeline_uuid, session_type)
+                messages = websocket_adapter.get_websocket_messages(pipeline_uuid, session_type, session_id)
                 return self.success(data={'messages': messages})
 
             except Exception as e:
@@ -227,11 +231,15 @@ class EmbedRouterGroup(group.RouterGroup):
                 if session_type not in ['person', 'group']:
                     return self.http_status(400, -1, 'session_type must be person or group')
 
+                session_id = quart.request.args.get('session_id', '')
+                if not is_valid_session_id(session_id):
+                    return self.http_status(400, -1, 'Valid session_id is required')
+
                 websocket_adapter = self.ap.platform_mgr.websocket_proxy_bot.adapter
                 if not websocket_adapter:
                     return self.http_status(404, -1, 'WebSocket adapter not found')
 
-                websocket_adapter.reset_session(pipeline_uuid, session_type)
+                websocket_adapter.reset_session(pipeline_uuid, session_type, session_id)
                 return self.success(data={'message': 'Session reset successfully'})
 
             except Exception as e:
@@ -294,6 +302,11 @@ class EmbedRouterGroup(group.RouterGroup):
                 )
                 return
 
+            session_id = quart.websocket.args.get('session_id', '')
+            if not is_valid_session_id(session_id):
+                await quart.websocket.send(json.dumps({'type': 'error', 'message': 'Valid session_id is required'}))
+                return
+
             websocket_adapter = self.ap.platform_mgr.websocket_proxy_bot.adapter
             if not websocket_adapter:
                 await quart.websocket.send(json.dumps({'type': 'error', 'message': 'WebSocket adapter not found'}))
@@ -304,6 +317,7 @@ class EmbedRouterGroup(group.RouterGroup):
                     websocket=quart.websocket._get_current_object(),
                     pipeline_uuid=pipeline_uuid,
                     session_type=session_type,
+                    session_id=session_id,
                     metadata={'user_agent': quart.websocket.headers.get('User-Agent', '')},
                 )
 

src/langbot/pkg/api/http/controller/groups/pipelines/pipelines.py

@@ -86,6 +86,10 @@ class PipelinesRouterGroup(group.RouterGroup):
                         'available_plugins': plugins,
                         'bound_mcp_servers': extensions_prefs.get('mcp_servers', []),
                         'available_mcp_servers': mcp_servers,
+                        'bound_mcp_resources': extensions_prefs.get('mcp_resources', []),
+                        'mcp_resource_agent_read_enabled': extensions_prefs.get(
+                            'mcp_resource_agent_read_enabled', True
+                        ),
                         'bound_skills': extensions_prefs.get('skills', []),
                         'available_skills': available_skills,
                     }
@@ -99,6 +103,8 @@ class PipelinesRouterGroup(group.RouterGroup):
                 bound_plugins = json_data.get('bound_plugins', [])
                 bound_mcp_servers = json_data.get('bound_mcp_servers', [])
                 bound_skills = json_data.get('bound_skills', [])
+                bound_mcp_resources = json_data.get('bound_mcp_resources')
+                mcp_resource_agent_read_enabled = json_data.get('mcp_resource_agent_read_enabled')
 
                 await self.ap.pipeline_service.update_pipeline_extensions(
                     pipeline_uuid,
@@ -108,6 +114,8 @@ class PipelinesRouterGroup(group.RouterGroup):
                     enable_all_mcp_servers,
                     bound_skills=bound_skills,
                     enable_all_skills=enable_all_skills,
+                    bound_mcp_resources=bound_mcp_resources,
+                    mcp_resource_agent_read_enabled=mcp_resource_agent_read_enabled,
                 )
 
                 return self.success()

src/langbot/pkg/api/http/controller/groups/platform/adapters.py

@@ -5,6 +5,29 @@ from ... import group
 from langbot.pkg.utils import importutil
 
 
+def _decrypt_qqofficial_secret(encrypted_b64: str, key: bytes) -> str:
+    """Decrypt the AppSecret returned by the QQ Official QR binding endpoint.
+
+    The base64 payload is laid out as `nonce (12 B) | ciphertext | tag (16 B)`.
+    `key` is the 32-byte AES-256 key locally generated when the bind task
+    was created and submitted as `key` to `q.qq.com/lite/create_bind_task`.
+    """
+    import base64
+    from cryptography.hazmat.primitives.ciphers.aead import AESGCM
+
+    try:
+        raw = base64.b64decode(encrypted_b64)
+    except Exception as exc:
+        raise ValueError('Malformed encrypted credential') from exc
+    if len(key) != 32 or len(raw) <= 28:
+        raise ValueError('Invalid encrypted credential layout')
+    nonce, ciphertext, tag = raw[:12], raw[12:-16], raw[-16:]
+    try:
+        return AESGCM(key).decrypt(nonce, ciphertext + tag, None).decode('utf-8')
+    except Exception as exc:
+        raise ValueError('Failed to decrypt credential') from exc
+
+
 @group.group_class('adapters', '/api/v1/platform/adapters')
 class AdaptersRouterGroup(group.RouterGroup):
     async def initialize(self) -> None:
@@ -37,6 +60,15 @@ class AdaptersRouterGroup(group.RouterGroup):
                 importutil.read_resource_file_bytes(icon_path), mimetype=mimetypes.guess_type(icon_path)[0]
             )
 
+        @self.route('/dingtalk/human-input-card-template', methods=['GET'], auth_type=group.AuthType.NONE)
+        async def _() -> quart.Response:
+            filename = 'dingtalk_human_input_card.json'
+            response = quart.Response(
+                importutil.read_resource_file_bytes(f'templates/{filename}'), mimetype='application/json'
+            )
+            response.headers['Content-Disposition'] = f'attachment; filename={filename}'
+            return response
+
         # In-memory session store for active registrations
         _create_app_sessions: dict = {}
         _SESSION_TTL = 900  # 15 minutes
@@ -650,3 +682,220 @@ class AdaptersRouterGroup(group.RouterGroup):
             if session and session.get('task') and not session['task'].done():
                 session['task'].cancel()
             return self.success(data={})
+
+        # -----------------------------------------------------------------------
+        # QQ Official QR Binding
+        # -----------------------------------------------------------------------
+
+        _qqofficial_sessions: dict = {}
+        _QQOFFICIAL_SESSION_TTL = 300  # 5 minutes (QQ bind QR validity window)
+
+        def _cleanup_expired_qqofficial_sessions():
+            import time
+
+            now = time.time()
+            expired = [
+                sid for sid, s in _qqofficial_sessions.items() if now - s.get('created_at', 0) > _QQOFFICIAL_SESSION_TTL
+            ]
+            for sid in expired:
+                session = _qqofficial_sessions.pop(sid, None)
+                if session and session.get('task') and not session['task'].done():
+                    session['task'].cancel()
+
+        @self.route('/qqofficial/bind', methods=['POST'])
+        async def _() -> str:
+            """Start QQ Official QR binding. Returns session_id + QR URL.
+
+            Flow: generate a local AES-256 key, register it with
+            `q.qq.com/lite/create_bind_task`, then poll
+            `q.qq.com/lite/poll_bind_result` until the user authorizes the
+            bind inside the QQ Bot Assistant on mobile QQ. The encrypted
+            AppSecret returned by the poll endpoint is decrypted with the
+            same key. The key never leaves this process.
+            """
+            import uuid
+            import time
+            import secrets
+            import base64
+            import aiohttp
+
+            QQ_BIND_BASE = 'https://q.qq.com'
+            _cleanup_expired_qqofficial_sessions()
+
+            bind_key_bytes = secrets.token_bytes(32)
+            bind_key = base64.b64encode(bind_key_bytes).decode('ascii')
+
+            session_id = str(uuid.uuid4())
+            session = {
+                'status': 'pending',
+                'qr_url': None,
+                'expire_at': None,
+                'appid': None,
+                'secret': None,
+                'user_openid': None,
+                'error': None,
+                'created_at': time.time(),
+                'task_id': None,
+                'bind_key_bytes': bind_key_bytes,
+                'interval': 2,
+            }
+            _qqofficial_sessions[session_id] = session
+
+            async def run_qr_binding():
+                try:
+                    timeout = aiohttp.ClientTimeout(total=10)
+                    async with aiohttp.ClientSession(timeout=timeout) as http:
+                        # Step 1: create_bind_task — register our AES key, get task_id
+                        async with http.post(
+                            f'{QQ_BIND_BASE}/lite/create_bind_task',
+                            json={'key': bind_key},
+                            headers={'Accept': 'application/json'},
+                        ) as resp:
+                            try:
+                                data = await resp.json(content_type=None)
+                            except (aiohttp.ContentTypeError, ValueError):
+                                session['status'] = 'error'
+                                session['error'] = 'Invalid response from QQ bind service'
+                                return
+                            if int(data.get('retcode', -1)) != 0:
+                                session['status'] = 'error'
+                                session['error'] = (
+                                    data.get('msg') or data.get('message') or 'Failed to create bind task'
+                                )
+                                return
+                            task_id = str((data.get('data') or {}).get('task_id') or '').strip()
+                            if not task_id:
+                                session['status'] = 'error'
+                                session['error'] = 'Missing task_id in QQ response'
+                                return
+
+                        # The QR encodes a URL that mobile QQ opens inside the QQ Bot Assistant.
+                        # `source=langbot` is a courtesy attribution parameter so Tencent
+                        # can see LangBot adoption metrics, matching the convention used by
+                        # other third-party integrations (e.g. hermes-agent uses `source=hermes`).
+                        qr_url = f'{QQ_BIND_BASE}/qqbot/openclaw/connect.html?task_id={task_id}&_wv=2&source=langbot'
+                        session['task_id'] = task_id
+                        session['qr_url'] = qr_url
+                        session['expire_at'] = time.time() + _QQOFFICIAL_SESSION_TTL
+                        session['status'] = 'waiting'
+
+                        # Step 2: poll_bind_result until completed (status=2) or expired (3).
+                        deadline = time.time() + _QQOFFICIAL_SESSION_TTL
+                        while time.time() < deadline:
+                            await asyncio.sleep(session['interval'])
+
+                            async with http.post(
+                                f'{QQ_BIND_BASE}/lite/poll_bind_result',
+                                json={'task_id': task_id},
+                                headers={'Accept': 'application/json'},
+                            ) as poll_resp:
+                                try:
+                                    poll_data = await poll_resp.json(content_type=None)
+                                except (aiohttp.ContentTypeError, ValueError):
+                                    continue
+
+                            if int(poll_data.get('retcode', -1)) != 0:
+                                session['status'] = 'error'
+                                session['error'] = poll_data.get('msg') or poll_data.get('message') or 'Poll failed'
+                                return
+
+                            payload = poll_data.get('data') or {}
+                            try:
+                                raw_status = int(payload.get('status', 0))
+                            except (TypeError, ValueError):
+                                raw_status = 0
+
+                            if raw_status == 2:
+                                appid = str(payload.get('bot_appid') or '').strip()
+                                encrypted = str(payload.get('bot_encrypt_secret') or '').strip()
+                                if not appid or not encrypted:
+                                    session['status'] = 'error'
+                                    session['error'] = 'Incomplete credential payload'
+                                    return
+                                try:
+                                    session['secret'] = _decrypt_qqofficial_secret(
+                                        encrypted,
+                                        bind_key_bytes,
+                                    )
+                                except ValueError as exc:
+                                    session['status'] = 'error'
+                                    session['error'] = str(exc)
+                                    return
+                                session['appid'] = appid
+                                # The scanner's OpenID is returned alongside the credentials —
+                                # surfaced to the dashboard for audit / "bound by" display.
+                                session['user_openid'] = str(payload.get('user_openid') or '').strip() or None
+                                session['status'] = 'success'
+                                return
+
+                            if raw_status == 3:
+                                session['status'] = 'expired'
+                                session['error'] = 'QR code expired'
+                                return
+                            # status 0 / 1: still pending, continue polling
+
+                        session['status'] = 'expired'
+                        session['error'] = 'QR code expired'
+
+                except asyncio.CancelledError:
+                    return
+                except Exception as e:
+                    session['status'] = 'error'
+                    session['error'] = str(e)
+
+            task = asyncio.create_task(run_qr_binding())
+            session['task'] = task
+
+            # Wait up to 10s for the QR URL to be ready before responding.
+            for _ in range(20):
+                if session['qr_url'] or session['error']:
+                    break
+                await asyncio.sleep(0.5)
+
+            if session['error']:
+                task.cancel()
+                return self.http_status(502, -1, session['error'])
+
+            if not session['qr_url']:
+                task.cancel()
+                session['status'] = 'error'
+                session['error'] = 'Timeout waiting for QR code'
+                return self.http_status(504, -1, 'Timeout waiting for QR code')
+
+            return self.success(
+                data={
+                    'session_id': session_id,
+                    'qr_url': session['qr_url'],
+                    'expire_at': session['expire_at'],
+                }
+            )
+
+        @self.route('/qqofficial/bind/status/<session_id>', methods=['GET'])
+        async def _(session_id: str) -> str:
+            """Poll QQ Official QR binding status."""
+            _cleanup_expired_qqofficial_sessions()
+            session = _qqofficial_sessions.get(session_id)
+            if not session:
+                return self.http_status(404, -1, 'Session not found')
+
+            data = {'status': session['status']}
+
+            if session['status'] == 'success':
+                data['appid'] = session['appid']
+                data['secret'] = session['secret']
+                if session.get('user_openid'):
+                    data['user_openid'] = session['user_openid']
+                _qqofficial_sessions.pop(session_id, None)
+            elif session['status'] in ('error', 'expired'):
+                data['error'] = session['error']
+                _qqofficial_sessions.pop(session_id, None)
+
+            return self.success(data=data)
+
+        @self.route('/qqofficial/bind/<session_id>', methods=['DELETE'])
+        async def _(session_id: str) -> str:
+            """Cancel and clean up a QQ Official QR binding session."""
+            session = _qqofficial_sessions.pop(session_id, None)
+            if session and session.get('task') and not session['task'].done():
+                session['task'].cancel()
+            return self.success(data={})

src/langbot/pkg/api/http/controller/groups/platform/bots.py

@@ -18,7 +18,6 @@ class BotsRouterGroup(group.RouterGroup):
         @self.route('/<bot_uuid>', methods=['GET', 'PUT', 'DELETE'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
         async def _(bot_uuid: str) -> str:
             if quart.request.method == 'GET':
-                # 返回运行时信息，包括webhook地址等
                 bot = await self.ap.bot_service.get_runtime_bot_info(bot_uuid)
                 if bot is None:
                     return self.http_status(404, -1, 'bot not found')
@@ -37,30 +36,21 @@ class BotsRouterGroup(group.RouterGroup):
             from_index = json_data.get('from_index', -1)
             max_count = json_data.get('max_count', 10)
             logs, total_count = await self.ap.bot_service.list_event_logs(bot_uuid, from_index, max_count)
-            return self.success(
+            return self.success(data={'logs': logs, 'total_count': total_count})
-                data={
-                    'logs': logs,
-                    'total_count': total_count,
-                }
-            )
 
         @self.route('/<bot_uuid>/send_message', methods=['POST'], auth_type=group.AuthType.API_KEY)
         async def _(bot_uuid: str) -> str:
-            """Send message to a specific target via bot"""
             json_data = await quart.request.json
             target_type = json_data.get('target_type')
             target_id = json_data.get('target_id')
             message_chain_data = json_data.get('message_chain')
 
-            # Validate required fields
             if not target_type:
                 return self.http_status(400, -1, 'target_type is required')
             if not target_id:
                 return self.http_status(400, -1, 'target_id is required')
             if not message_chain_data:
                 return self.http_status(400, -1, 'message_chain is required')
-
-            # Validate target_type
             if target_type not in ['person', 'group']:
                 return self.http_status(400, -1, 'target_type must be either "person" or "group"')
 
@@ -72,3 +62,29 @@ class BotsRouterGroup(group.RouterGroup):
 
                 traceback.print_exc()
                 return self.http_status(500, -1, f'Failed to send message: {str(e)}')
+
+        # ============ Bot Admins ============
+
+        @self.route('/<bot_uuid>/admins', methods=['GET', 'POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
+        async def _(bot_uuid: str) -> str:
+            if quart.request.method == 'GET':
+                admins = await self.ap.bot_service.get_bot_admins(bot_uuid)
+                return self.success(data={'admins': admins})
+            elif quart.request.method == 'POST':
+                json_data = await quart.request.json
+                launcher_type = json_data.get('launcher_type', '').strip()
+                launcher_id = str(json_data.get('launcher_id', '')).strip()
+                if not launcher_type or not launcher_id:
+                    return self.http_status(400, -1, 'launcher_type and launcher_id are required')
+                try:
+                    admin_id = await self.ap.bot_service.add_bot_admin(bot_uuid, launcher_type, launcher_id)
+                    return self.success(data={'id': admin_id})
+                except Exception as e:
+                    return self.http_status(409, -1, str(e))
+
+        @self.route(
+            '/<bot_uuid>/admins/<int:admin_id>', methods=['DELETE'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY
+        )
+        async def _(bot_uuid: str, admin_id: int) -> str:
+            await self.ap.bot_service.delete_bot_admin(bot_uuid, admin_id)
+            return self.success()

src/langbot/pkg/api/http/controller/groups/resources/mcp.py

@@ -2,6 +2,7 @@ from __future__ import annotations
 
 import quart
 import traceback
+from urllib.parse import unquote
 
 
 from ... import group
@@ -28,11 +29,11 @@ class MCPRouterGroup(group.RouterGroup):
                     traceback.print_exc()
                     return self.http_status(500, -1, f'Failed to create MCP server: {str(e)}')
 
-        @self.route('/servers/<server_name>', methods=['GET', 'PUT', 'DELETE'], auth_type=group.AuthType.USER_TOKEN)
+        @self.route(
+            '/servers/<path:server_name>', methods=['GET', 'PUT', 'DELETE'], auth_type=group.AuthType.USER_TOKEN
+        )
         async def _(server_name: str) -> str:
             """获取、更新或删除MCP服务器配置"""
-            from urllib.parse import unquote
-
             server_name = unquote(server_name)
 
             server_data = await self.ap.mcp_service.get_mcp_server_by_name(server_name)
@@ -57,12 +58,72 @@ class MCPRouterGroup(group.RouterGroup):
                 except Exception as e:
                     return self.http_status(500, -1, f'Failed to delete MCP server: {str(e)}')
 
-        @self.route('/servers/<server_name>/test', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
+        @self.route('/servers/<path:server_name>/test', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
         async def _(server_name: str) -> str:
             """测试MCP服务器连接"""
-            from urllib.parse import unquote
-
             server_name = unquote(server_name)
             server_data = await quart.request.json
             task_id = await self.ap.mcp_service.test_mcp_server(server_name=server_name, server_data=server_data)
             return self.success(data={'task_id': task_id})
+
+        @self.route('/servers/<path:server_name>/resources', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
+        async def _(server_name: str) -> str:
+            """Get resources from an MCP server"""
+            server_name = unquote(server_name)
+            try:
+                resources = await self.ap.mcp_service.get_mcp_server_resources(server_name)
+                templates = await self.ap.mcp_service.get_mcp_server_resource_templates(server_name)
+                runtime_info = await self.ap.mcp_service.get_runtime_info(server_name)
+                return self.success(
+                    data={
+                        'resources': resources,
+                        'resource_templates': templates,
+                        'resource_capabilities': (runtime_info or {}).get('resource_capabilities', {}),
+                    }
+                )
+            except Exception as e:
+                return self.http_status(500, -1, f'Failed to get resources: {str(e)}')
+
+        @self.route(
+            '/servers/<path:server_name>/resource-templates', methods=['GET'], auth_type=group.AuthType.USER_TOKEN
+        )
+        async def _(server_name: str) -> str:
+            """Get resource templates from an MCP server"""
+            server_name = unquote(server_name)
+            try:
+                templates = await self.ap.mcp_service.get_mcp_server_resource_templates(server_name)
+                return self.success(data={'resource_templates': templates})
+            except Exception as e:
+                return self.http_status(500, -1, f'Failed to get resource templates: {str(e)}')
+
+        @self.route('/servers/<path:server_name>/logs', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
+        async def _(server_name: str) -> str:
+            """Get logs from an MCP server"""
+            server_name = unquote(server_name)
+            try:
+                limit = int(quart.request.args.get('limit', 200))
+            except (TypeError, ValueError):
+                limit = 200
+            limit = min(limit, 500)
+            level = quart.request.args.get('level') or None
+            logs = await self.ap.mcp_service.get_mcp_server_logs(server_name, limit=limit, level=level)
+            return self.success(data={'logs': logs})
+
+        @self.route('/servers/<path:server_name>/resources/read', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
+        async def _(server_name: str) -> str:
+            """Read a resource from an MCP server"""
+            server_name = unquote(server_name)
+            data = await quart.request.json
+            uri = data.get('uri')
+            if not uri:
+                return self.http_status(400, -1, 'URI is required')
+            try:
+                envelope = await self.ap.mcp_service.read_mcp_server_resource_envelope(
+                    server_name,
+                    uri,
+                    max_bytes=data.get('max_bytes'),
+                    include_blob=bool(data.get('include_blob', False)),
+                )
+                return self.success(data=envelope)
+            except Exception as e:
+                return self.http_status(500, -1, f'Failed to read resource: {str(e)}')

src/langbot/pkg/api/http/controller/groups/resources/tools.py

@@ -1,5 +1,7 @@
 from __future__ import annotations
 
+import quart
+
 from ... import group
 
 
@@ -9,25 +11,41 @@ class ToolsRouterGroup(group.RouterGroup):
         @self.route('', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
         async def _() -> str:
             """获取所有可用工具列表"""
-            tools = await self.ap.tool_mgr.get_all_tools()
+            pipeline_uuid = quart.request.args.get('pipeline_uuid') or quart.request.args.get('pipeline_id')
+            bound_plugins: list[str] | None = None
+            bound_mcp_servers: list[str] | None = None
 
-            tool_list = []
+            if pipeline_uuid:
-            for tool in tools:
+                pipeline = await self.ap.pipeline_service.get_pipeline(pipeline_uuid)
-                tool_list.append(
+                if pipeline is None:
-                    {
+                    return self.http_status(404, -1, 'pipeline not found')
-                        'name': tool.name,
-                        'description': tool.description,
-                        'human_desc': tool.human_desc,
-                        'parameters': tool.parameters,
-                    }
-                )
 
-            return self.success(data={'tools': tool_list})
+                extensions_prefs = pipeline.get('extensions_preferences', {}) or {}
+                if not extensions_prefs.get('enable_all_plugins', True):
+                    bound_plugins = [
+                        f'{plugin.get("author", "")}/{plugin.get("name", "")}'
+                        for plugin in extensions_prefs.get('plugins', [])
+                        if isinstance(plugin, dict) and plugin.get('name')
+                    ]
+                if not extensions_prefs.get('enable_all_mcp_servers', True):
+                    bound_mcp_servers = [
+                        server for server in (extensions_prefs.get('mcp_servers', []) or []) if isinstance(server, str)
+                    ]
+
+            return self.success(
+                data={
+                    'tools': await self.ap.tool_mgr.get_tool_catalog(
+                        bound_plugins,
+                        bound_mcp_servers,
+                        include_skill_authoring=True,
+                    )
+                }
+            )
 
         @self.route('/<tool_name>', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
         async def _(tool_name: str) -> str:
             """获取特定工具详情"""
-            tools = await self.ap.tool_mgr.get_all_tools()
+            tools = await self.ap.tool_mgr.get_all_tools(include_skill_authoring=True)
 
             for tool in tools:
                 if tool.name == tool_name:

src/langbot/pkg/api/http/controller/groups/survey.py

@@ -1,3 +1,5 @@
+import base64
+
 import quart
 
 from .. import group
@@ -30,6 +32,50 @@ class SurveyRouterGroup(group.RouterGroup):
                 return self.fail(2, 'Failed to submit response')
             return self.fail(3, 'Survey not available')
 
+        @self.route('/feedback', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
+        async def _feedback(user_email: str) -> str:
+            """Submit on-demand user feedback from the sidebar."""
+            json_data = await quart.request.get_json(silent=True) or {}
+            content = str(json_data.get('content', '')).strip()
+            attachments = json_data.get('attachments', [])
+
+            if not content:
+                return self.fail(1, 'content required')
+            if len(content) > 5000:
+                return self.fail(2, 'content too long')
+            if not isinstance(attachments, list):
+                return self.fail(3, 'attachments must be an array')
+            if len(attachments) > 3:
+                return self.fail(4, 'too many attachments')
+
+            normalized_attachments = []
+            for item in attachments:
+                if not isinstance(item, dict):
+                    continue
+                data_url = str(item.get('data_url', ''))
+                mime_type = str(item.get('mime_type', ''))[:128]
+                name = str(item.get('name', ''))[:255]
+                if not data_url.startswith('data:image/'):
+                    continue
+                try:
+                    payload = data_url.split(',', 1)[1]
+                    if len(base64.b64decode(payload, validate=True)) > 1024 * 1024:
+                        return self.fail(5, 'attachment too large')
+                except Exception:
+                    return self.fail(5, 'attachment too large')
+                normalized_attachments.append({'name': name, 'mime_type': mime_type, 'data_url': data_url})
+
+            if self.ap.survey:
+                ok = await self.ap.survey.submit_feedback(
+                    content=content,
+                    attachments=normalized_attachments,
+                    user_email=user_email,
+                )
+                if ok:
+                    return self.success()
+                return self.fail(6, 'Failed to submit feedback')
+            return self.fail(7, 'Survey not available')
+
         @self.route('/dismiss', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
         async def _dismiss() -> str:
             """Dismiss survey."""

src/langbot/pkg/api/http/controller/groups/user.py

@@ -195,6 +195,13 @@ class UserRouterGroup(group.RouterGroup):
         @self.route('/set-password', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
         async def _(user_email: str) -> str:
             """Set password for Space account (first time) or change password"""
+            # Check if modifying login info is allowed
+            allow_modify_login_info = self.ap.instance_config.data.get('system', {}).get(
+                'allow_modify_login_info', True
+            )
+            if not allow_modify_login_info:
+                return self.http_status(403, -1, 'Modifying login info is disabled')
+
             json_data = await quart.request.json
             new_password = json_data.get('new_password')
             current_password = json_data.get('current_password')

src/langbot/pkg/api/http/service/bot.py

@@ -199,3 +199,35 @@ class BotService:
 
         # Send message via adapter
         await runtime_bot.adapter.send_message(target_type, str(target_id), message_chain)
+
+    # ============ Bot Admins ============
+
+    async def get_bot_admins(self, bot_uuid: str) -> list[dict]:
+        from ....entity.persistence import bot as persistence_bot
+
+        result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.select(persistence_bot.BotAdmin).where(persistence_bot.BotAdmin.bot_uuid == bot_uuid)
+        )
+        return [{'id': r.id, 'launcher_type': r.launcher_type, 'launcher_id': r.launcher_id} for r in result.all()]
+
+    async def add_bot_admin(self, bot_uuid: str, launcher_type: str, launcher_id: str) -> int:
+        from ....entity.persistence import bot as persistence_bot
+
+        result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.insert(persistence_bot.BotAdmin).values(
+                bot_uuid=bot_uuid,
+                launcher_type=launcher_type,
+                launcher_id=launcher_id,
+            )
+        )
+        return result.inserted_primary_key[0]
+
+    async def delete_bot_admin(self, bot_uuid: str, admin_id: int) -> None:
+        from ....entity.persistence import bot as persistence_bot
+
+        await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.delete(persistence_bot.BotAdmin).where(
+                persistence_bot.BotAdmin.bot_uuid == bot_uuid,
+                persistence_bot.BotAdmin.id == admin_id,
+            )
+        )

src/langbot/pkg/api/http/service/maintenance.py

@@ -243,6 +243,7 @@ class MaintenanceService:
         tables = {
             'messages': persistence_monitoring.MonitoringMessage.id,
             'llm_calls': persistence_monitoring.MonitoringLLMCall.id,
+            'tool_calls': persistence_monitoring.MonitoringToolCall.id,
             'embedding_calls': persistence_monitoring.MonitoringEmbeddingCall.id,
             'errors': persistence_monitoring.MonitoringError.id,
             'sessions': persistence_monitoring.MonitoringSession.session_id,

src/langbot/pkg/api/http/service/mcp.py

@@ -48,6 +48,17 @@ class MCPService:
             if total_extensions >= max_extensions:
                 raise ValueError(f'Maximum number of extensions ({max_extensions}) reached')
 
+        server_name = str(server_data.get('name') or '').strip()
+        if not server_name:
+            raise ValueError('MCP server name is required')
+        server_data['name'] = server_name
+
+        existing_result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.select(persistence_mcp.MCPServer).where(persistence_mcp.MCPServer.name == server_name)
+        )
+        if existing_result.first() is not None:
+            raise ValueError(f'MCP server already exists: {server_name}')
+
         server_data['uuid'] = str(uuid.uuid4())
         await self.ap.persistence_mgr.execute_async(sqlalchemy.insert(persistence_mcp.MCPServer).values(server_data))
 
@@ -136,6 +147,32 @@ class MCPService:
             if server_name in self.ap.tool_mgr.mcp_tool_loader.sessions:
                 await self.ap.tool_mgr.mcp_tool_loader.remove_mcp_server(server_name)
 
+    async def get_mcp_server_resources(self, server_name: str) -> list[dict]:
+        """Get resources from a specific MCP server."""
+        return await self.ap.tool_mgr.mcp_tool_loader.get_resources(server_name)
+
+    async def get_mcp_server_resource_templates(self, server_name: str) -> list[dict]:
+        """Get resource templates from a specific MCP server."""
+        return await self.ap.tool_mgr.mcp_tool_loader.get_resource_templates(server_name)
+
+    async def read_mcp_server_resource_envelope(
+        self,
+        server_name: str,
+        uri: str,
+        *,
+        max_bytes: int | None = None,
+        include_blob: bool = False,
+    ) -> dict:
+        """Read a resource from a specific MCP server with metadata."""
+        kwargs = {'include_blob': include_blob, 'source': 'ui_preview'}
+        if max_bytes is not None:
+            kwargs['max_bytes'] = max_bytes
+        return await self.ap.tool_mgr.mcp_tool_loader.read_resource_envelope(server_name, uri, **kwargs)
+
+    async def read_mcp_server_resource(self, server_name: str, uri: str) -> list[dict]:
+        """Read a resource from a specific MCP server."""
+        return await self.ap.tool_mgr.mcp_tool_loader.read_resource(server_name, uri)
+
     async def test_mcp_server(self, server_name: str, server_data: dict) -> int:
         """测试 MCP 服务器连接并返回任务 ID"""
 
@@ -151,10 +188,22 @@ class MCPService:
             persisted_session = runtime_mcp_session
 
             async def _refresh_and_report() -> None:
-                if persisted_session.status == MCPSessionStatus.ERROR:
+                # Testing a persisted server should REUSE its live shared-session
+                # process, not rebuild it. Try a lightweight refresh (a real
+                # list_tools probe over the existing connection) first; only fall
+                # back to a full start() when the session has no live connection
+                # to probe (never connected, or the process is actually gone).
+                needs_start = persisted_session.status == MCPSessionStatus.ERROR or persisted_session.session is None
+                if needs_start:
                     await persisted_session.start()
                 else:
-                    await persisted_session.refresh()
+                    try:
+                        await persisted_session.refresh()
+                    except Exception:
+                        # The live connection was stale/dropped: reconnect once
+                        # (reusing the live managed process where possible) and
+                        # re-probe, instead of reporting a false failure.
+                        await persisted_session.start()
                 # Surface the discovered tools so the config page can render them
                 # even for an already-hosted server.
                 ctx.metadata['runtime_info'] = persisted_session.get_runtime_info_dict()
@@ -195,3 +244,19 @@ class MCPService:
             context=ctx,
         )
         return wrapper.id
+
+    async def get_mcp_server_logs(self, server_name: str, limit: int = 200, level: str | None = None) -> list[dict]:
+        """Get recent log lines captured from the MCP server's stderr."""
+        session = self.ap.tool_mgr.mcp_tool_loader.get_session(server_name)
+        if not session:
+            return []
+
+        # Get logs from the session's buffer
+        logs = list(session._log_buffer)
+
+        # Filter by level if specified
+        if level:
+            logs = [log for log in logs if log.get('level') == level]
+
+        # Return the most recent 'limit' logs
+        return logs[-limit:]

src/langbot/pkg/api/http/service/monitoring.py

@@ -2,6 +2,7 @@ from __future__ import annotations
 
 import uuid
 import datetime
+import json
 import sqlalchemy
 
 from ....core import app
@@ -50,6 +51,12 @@ class MonitoringService:
                 persistence_monitoring.MonitoringLLMCall.timestamp,
                 persistence_monitoring.MonitoringLLMCall.id,
             ),
+            (
+                'monitoring_tool_calls',
+                persistence_monitoring.MonitoringToolCall,
+                persistence_monitoring.MonitoringToolCall.timestamp,
+                persistence_monitoring.MonitoringToolCall.id,
+            ),
             (
                 'monitoring_embedding_calls',
                 persistence_monitoring.MonitoringEmbeddingCall,
@@ -131,6 +138,68 @@ class MonitoringService:
             await autocommit_conn.execute(sqlalchemy.text('PRAGMA wal_checkpoint(TRUNCATE)'))
             await autocommit_conn.execute(sqlalchemy.text('VACUUM'))
 
+    def _serialize_tool_payload(self, payload: object, max_length: int = 20000) -> str | None:
+        """Serialize tool arguments/results for monitoring storage."""
+        if payload is None:
+            return None
+
+        if isinstance(payload, str):
+            text = payload
+        else:
+            try:
+                text = json.dumps(payload, ensure_ascii=False, default=str)
+            except Exception:
+                text = str(payload)
+
+        if len(text) <= max_length:
+            return text
+
+        return f'{text[:max_length]}... [truncated {len(text) - max_length} chars]'
+
+    async def _get_message_for_tool_context(
+        self,
+        message_id: str | None = None,
+        session_id: str | None = None,
+    ):
+        if message_id:
+            result = await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.select(persistence_monitoring.MonitoringMessage).where(
+                    persistence_monitoring.MonitoringMessage.id == message_id
+                )
+            )
+            row = result.first()
+            if row:
+                return row[0]
+
+        if not session_id:
+            return None
+
+        user_query = (
+            sqlalchemy.select(persistence_monitoring.MonitoringMessage)
+            .where(
+                sqlalchemy.and_(
+                    persistence_monitoring.MonitoringMessage.session_id == session_id,
+                    persistence_monitoring.MonitoringMessage.role == 'user',
+                )
+            )
+            .order_by(persistence_monitoring.MonitoringMessage.timestamp.desc())
+            .limit(1)
+        )
+        result = await self.ap.persistence_mgr.execute_async(user_query)
+        row = result.first()
+        if row:
+            return row[0]
+
+        any_query = (
+            sqlalchemy.select(persistence_monitoring.MonitoringMessage)
+            .where(persistence_monitoring.MonitoringMessage.session_id == session_id)
+            .order_by(persistence_monitoring.MonitoringMessage.timestamp.desc())
+            .limit(1)
+        )
+        result = await self.ap.persistence_mgr.execute_async(any_query)
+        row = result.first()
+        return row[0] if row else None
+
     # ========== Recording Methods ==========
 
     async def record_message(
@@ -220,6 +289,57 @@ class MonitoringService:
 
         return call_id
 
+    async def record_tool_call(
+        self,
+        tool_name: str,
+        tool_source: str,
+        duration: int,
+        status: str = 'success',
+        bot_id: str | None = None,
+        bot_name: str | None = None,
+        pipeline_id: str | None = None,
+        pipeline_name: str | None = None,
+        session_id: str | None = None,
+        message_id: str | None = None,
+        arguments: object | None = None,
+        result: object | None = None,
+        error_message: str | None = None,
+    ) -> str:
+        """Record a tool call."""
+        context_message = await self._get_message_for_tool_context(message_id=message_id, session_id=session_id)
+        if context_message:
+            bot_id = bot_id or context_message.bot_id
+            bot_name = bot_name or context_message.bot_name
+            pipeline_id = pipeline_id or context_message.pipeline_id
+            pipeline_name = pipeline_name or context_message.pipeline_name
+            session_id = session_id or context_message.session_id
+            message_id = message_id or context_message.id
+
+        call_id = str(uuid.uuid4())
+        call_data = {
+            'id': call_id,
+            'timestamp': datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None),
+            'tool_name': tool_name,
+            'tool_source': tool_source,
+            'duration': max(0, duration),
+            'status': status,
+            'bot_id': bot_id or 'unknown',
+            'bot_name': bot_name or 'Unknown',
+            'pipeline_id': pipeline_id or 'unknown',
+            'pipeline_name': pipeline_name or 'Unknown',
+            'session_id': session_id,
+            'message_id': message_id,
+            'arguments': self._serialize_tool_payload(arguments),
+            'result': self._serialize_tool_payload(result),
+            'error_message': self._serialize_tool_payload(error_message),
+        }
+
+        await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.insert(persistence_monitoring.MonitoringToolCall).values(call_data)
+        )
+
+        return call_id
+
     async def record_embedding_call(
         self,
         model_name: str,
@@ -749,6 +869,58 @@ class MonitoringService:
             total,
         )
 
+    async def get_tool_calls(
+        self,
+        bot_ids: list[str] | None = None,
+        pipeline_ids: list[str] | None = None,
+        session_ids: list[str] | None = None,
+        start_time: datetime.datetime | None = None,
+        end_time: datetime.datetime | None = None,
+        limit: int = 100,
+        offset: int = 0,
+    ) -> tuple[list[dict], int]:
+        """Get tool calls with filters"""
+        conditions = []
+
+        if bot_ids:
+            conditions.append(persistence_monitoring.MonitoringToolCall.bot_id.in_(bot_ids))
+        if pipeline_ids:
+            conditions.append(persistence_monitoring.MonitoringToolCall.pipeline_id.in_(pipeline_ids))
+        if session_ids:
+            conditions.append(persistence_monitoring.MonitoringToolCall.session_id.in_(session_ids))
+        if start_time:
+            conditions.append(persistence_monitoring.MonitoringToolCall.timestamp >= start_time)
+        if end_time:
+            conditions.append(persistence_monitoring.MonitoringToolCall.timestamp <= end_time)
+
+        count_query = sqlalchemy.select(sqlalchemy.func.count(persistence_monitoring.MonitoringToolCall.id))
+        if conditions:
+            count_query = count_query.where(sqlalchemy.and_(*conditions))
+
+        count_result = await self.ap.persistence_mgr.execute_async(count_query)
+        total = count_result.scalar() or 0
+
+        query = sqlalchemy.select(persistence_monitoring.MonitoringToolCall).order_by(
+            persistence_monitoring.MonitoringToolCall.timestamp.desc()
+        )
+        if conditions:
+            query = query.where(sqlalchemy.and_(*conditions))
+
+        query = query.limit(limit).offset(offset)
+
+        result = await self.ap.persistence_mgr.execute_async(query)
+        tool_calls_rows = result.all()
+
+        return (
+            [
+                self.ap.persistence_mgr.serialize_model(
+                    persistence_monitoring.MonitoringToolCall, row[0] if isinstance(row, tuple) else row
+                )
+                for row in tool_calls_rows
+            ],
+            total,
+        )
+
     async def get_embedding_calls(
         self,
         start_time: datetime.datetime | None = None,
@@ -971,6 +1143,34 @@ class MonitoringService:
             else:
                 error_llm_calls += 1
 
+        # Get tool calls for this session
+        tool_query = (
+            sqlalchemy.select(persistence_monitoring.MonitoringToolCall)
+            .where(persistence_monitoring.MonitoringToolCall.session_id == session_id)
+            .order_by(persistence_monitoring.MonitoringToolCall.timestamp.asc())
+        )
+        tool_result = await self.ap.persistence_mgr.execute_async(tool_query)
+        tool_rows = tool_result.all()
+
+        tool_calls = [
+            self.ap.persistence_mgr.serialize_model(
+                persistence_monitoring.MonitoringToolCall, row[0] if isinstance(row, tuple) else row
+            )
+            for row in tool_rows
+        ]
+
+        total_tool_calls = len(tool_rows)
+        success_tool_calls = 0
+        error_tool_calls = 0
+        total_tool_duration = 0
+        for row in tool_rows:
+            tool_call = row[0] if isinstance(row, tuple) else row
+            total_tool_duration += tool_call.duration
+            if tool_call.status == 'success':
+                success_tool_calls += 1
+            else:
+                error_tool_calls += 1
+
         # Get errors for this session
         error_query = (
             sqlalchemy.select(persistence_monitoring.MonitoringError)
@@ -1014,6 +1214,14 @@ class MonitoringService:
                 'total_tokens': total_tokens,
                 'average_duration_ms': int(total_duration / total_llm_calls) if total_llm_calls > 0 else 0,
             },
+            'tool_calls': tool_calls,
+            'tool_stats': {
+                'total_calls': total_tool_calls,
+                'success_calls': success_tool_calls,
+                'error_calls': error_tool_calls,
+                'total_duration_ms': total_tool_duration,
+                'average_duration_ms': int(total_tool_duration / total_tool_calls) if total_tool_calls > 0 else 0,
+            },
             'errors': errors,
             'session_duration_seconds': session_duration_seconds,
         }

src/langbot/pkg/api/http/service/pipeline.py

@@ -100,6 +100,8 @@ class PipelineService:
                 'enable_all_mcp_servers': True,
                 'plugins': [],
                 'mcp_servers': [],
+                'mcp_resources': [],
+                'mcp_resource_agent_read_enabled': True,
             }
 
         await self.ap.persistence_mgr.execute_async(
@@ -193,6 +195,8 @@ class PipelineService:
                     'enable_all_mcp_servers': True,
                     'plugins': [],
                     'mcp_servers': [],
+                    'mcp_resources': [],
+                    'mcp_resource_agent_read_enabled': True,
                 }
             ),
         }
@@ -217,6 +221,8 @@ class PipelineService:
         enable_all_mcp_servers: bool = True,
         bound_skills: list[str] = None,
         enable_all_skills: bool = True,
+        bound_mcp_resources: list[dict] = None,
+        mcp_resource_agent_read_enabled: bool | None = None,
     ) -> None:
         """Update the bound plugins and MCP servers for a pipeline"""
         # Get current pipeline
@@ -236,10 +242,14 @@ class PipelineService:
         extensions_preferences['enable_all_mcp_servers'] = enable_all_mcp_servers
         extensions_preferences['enable_all_skills'] = enable_all_skills
         extensions_preferences['plugins'] = bound_plugins
+        if mcp_resource_agent_read_enabled is not None:
+            extensions_preferences['mcp_resource_agent_read_enabled'] = mcp_resource_agent_read_enabled
         if bound_mcp_servers is not None:
             extensions_preferences['mcp_servers'] = bound_mcp_servers
         if bound_skills is not None:
             extensions_preferences['skills'] = bound_skills
+        if bound_mcp_resources is not None:
+            extensions_preferences['mcp_resources'] = bound_mcp_resources
 
         await self.ap.persistence_mgr.execute_async(
             sqlalchemy.update(persistence_pipeline.LegacyPipeline)

src/langbot/pkg/api/http/service/user.py

@@ -20,6 +20,15 @@ class UserService:
     def __init__(self, ap: app.Application) -> None:
         self.ap = ap
         self._create_user_lock = asyncio.Lock()
+        self._password_hash_lock = asyncio.Semaphore(1)
+
+    async def _hash_password(self, password: str) -> str:
+        async with self._password_hash_lock:
+            return await asyncio.to_thread(argon2.PasswordHasher().hash, password)
+
+    async def _verify_password(self, hashed_password: str, password: str) -> None:
+        async with self._password_hash_lock:
+            await asyncio.to_thread(argon2.PasswordHasher().verify, hashed_password, password)
 
     async def is_initialized(self) -> bool:
         result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(user.User).limit(1))
@@ -28,9 +37,7 @@ class UserService:
         return result_list is not None and len(result_list) > 0
 
     async def create_user(self, user_email: str, password: str) -> None:
-        ph = argon2.PasswordHasher()
+        hashed_password = await self._hash_password(password)
-
-        hashed_password = ph.hash(password)
 
         await self.ap.persistence_mgr.execute_async(
             sqlalchemy.insert(user.User).values(user=user_email, password=hashed_password, account_type='local')
@@ -69,9 +76,7 @@ class UserService:
         if not user_obj.password:
             raise ValueError('请使用 Space 账户登录')
 
-        ph = argon2.PasswordHasher()
+        await self._verify_password(user_obj.password, password)
-
-        ph.verify(user_obj.password, password)
 
         return await self.generate_jwt_token(user_email)
 
@@ -93,17 +98,13 @@ class UserService:
         return jwt.decode(token, jwt_secret, algorithms=['HS256'])['user']
 
     async def reset_password(self, user_email: str, new_password: str) -> None:
-        ph = argon2.PasswordHasher()
+        hashed_password = await self._hash_password(new_password)
-
-        hashed_password = ph.hash(new_password)
 
         await self.ap.persistence_mgr.execute_async(
             sqlalchemy.update(user.User).where(user.User.user == user_email).values(password=hashed_password)
         )
 
     async def change_password(self, user_email: str, current_password: str, new_password: str) -> None:
-        ph = argon2.PasswordHasher()
-
         user_obj = await self.get_user_by_email(user_email)
         if user_obj is None:
             raise ValueError('User not found')
@@ -111,9 +112,9 @@ class UserService:
         if not user_obj.password:
             raise ValueError('No local password set, please set a password first')
 
-        ph.verify(user_obj.password, current_password)
+        await self._verify_password(user_obj.password, current_password)
 
-        hashed_password = ph.hash(new_password)
+        hashed_password = await self._hash_password(new_password)
 
         await self.ap.persistence_mgr.execute_async(
             sqlalchemy.update(user.User).where(user.User.user == user_email).values(password=hashed_password)
@@ -232,7 +233,6 @@ class UserService:
 
     async def set_password(self, user_email: str, new_password: str, current_password: str | None = None) -> None:
         """Set or change password for a user"""
-        ph = argon2.PasswordHasher()
         user_obj = await self.get_user_by_email(user_email)
 
         if user_obj is None:
@@ -243,9 +243,9 @@ class UserService:
         if has_password:
             if not current_password:
                 raise ValueError('Current password is required')
-            ph.verify(user_obj.password, current_password)
+            await self._verify_password(user_obj.password, current_password)
 
-        hashed_password = ph.hash(new_password)
+        hashed_password = await self._hash_password(new_password)
         await self.ap.persistence_mgr.execute_async(
             sqlalchemy.update(user.User).where(user.User.user == user_email).values(password=hashed_password)
         )

src/langbot/pkg/box/service.py

@@ -82,7 +82,6 @@ class BoxService:
         return self._enabled
 
     async def initialize(self):
-        self._ensure_default_workspace()
         if not self._enabled:
             # Disabled by config: do NOT connect to a remote runtime, do NOT
             # fork a stdio subprocess. Every consumer of box_service should
@@ -99,6 +98,7 @@ class BoxService:
                 await self._runtime_connector.initialize()
             else:
                 await self.client.initialize()
+            self._ensure_default_workspace()
             self._available = True
             self._connector_error = ''
             self.ap.logger.info(
@@ -1152,6 +1152,9 @@ class BoxService:
         if self.default_workspace is None:
             return
 
+        if not self.shares_filesystem_with_box:
+            return
+
         if os.path.isdir(self.default_workspace):
             return
 
@@ -1176,7 +1179,7 @@ class BoxService:
             return
 
         host_path = os.path.realpath(spec.host_path)
-        if not os.path.isdir(host_path):
+        if self.shares_filesystem_with_box and not os.path.isdir(host_path):
             raise BoxValidationError('host_path must point to an existing directory on the host')
 
         if not self.allowed_mount_roots:

src/langbot/pkg/command/cmdmgr.py

@@ -84,7 +84,17 @@ class CommandManager:
 
         privilege = 1
 
-        if f'{query.launcher_type.value}_{query.launcher_id}' in self.ap.instance_config.data['admins']:
+        import sqlalchemy as _sa
+        from ..entity.persistence.bot import BotAdmin as _BotAdmin
+
+        _admins = await self.ap.persistence_mgr.execute_async(
+            _sa.select(_BotAdmin).where(
+                _BotAdmin.bot_uuid == (query.bot_uuid or ''),
+                _BotAdmin.launcher_type == query.launcher_type.value,
+                _BotAdmin.launcher_id == str(query.launcher_id),
+            )
+        )
+        if _admins.first() is not None:
             privilege = 2
 
         ctx = command_context.ExecuteContext(

src/langbot/pkg/entity/persistence/bot.py

@@ -3,6 +3,20 @@ import sqlalchemy
 from .base import Base
 
 
+class BotAdmin(Base):
+    """Bot admin — a launcher that has admin privilege for a specific bot's commands"""
+
+    __tablename__ = 'bot_admins'
+
+    id = sqlalchemy.Column(sqlalchemy.Integer, primary_key=True, autoincrement=True)
+    bot_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
+    launcher_type = sqlalchemy.Column(sqlalchemy.String(64), nullable=False)
+    launcher_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
+    created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now())
+
+    __table_args__ = (sqlalchemy.UniqueConstraint('bot_uuid', 'launcher_type', 'launcher_id', name='uq_bot_admin'),)
+
+
 class Bot(Base):
     """Bot"""
 

src/langbot/pkg/entity/persistence/monitoring.py

@@ -49,6 +49,28 @@ class MonitoringLLMCall(Base):
     message_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)  # Associated message ID
 
 
+class MonitoringToolCall(Base):
+    """Tool call records"""
+
+    __tablename__ = 'monitoring_tool_calls'
+
+    id = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True)
+    timestamp = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, index=True)
+    tool_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
+    tool_source = sqlalchemy.Column(sqlalchemy.String(50), nullable=False)  # native, plugin, mcp, skill
+    duration = sqlalchemy.Column(sqlalchemy.Integer, nullable=False)  # milliseconds
+    status = sqlalchemy.Column(sqlalchemy.String(50), nullable=False)  # success, error
+    bot_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, index=True)
+    bot_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
+    pipeline_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, index=True)
+    pipeline_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
+    session_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
+    message_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
+    arguments = sqlalchemy.Column(sqlalchemy.Text, nullable=True)
+    result = sqlalchemy.Column(sqlalchemy.Text, nullable=True)
+    error_message = sqlalchemy.Column(sqlalchemy.Text, nullable=True)
+
+
 class MonitoringSession(Base):
     """Session tracking records"""
 

src/langbot/pkg/entity/persistence/pipeline.py

@@ -26,7 +26,14 @@ class LegacyPipeline(Base):
     extensions_preferences = sqlalchemy.Column(
         sqlalchemy.JSON,
         nullable=False,
-        default={'enable_all_plugins': True, 'enable_all_mcp_servers': True, 'plugins': [], 'mcp_servers': []},
+        default={
+            'enable_all_plugins': True,
+            'enable_all_mcp_servers': True,
+            'plugins': [],
+            'mcp_servers': [],
+            'mcp_resources': [],
+            'mcp_resource_agent_read_enabled': True,
+        },
     )
 
 

src/langbot/pkg/persistence/alembic/versions/0007_add_bot_admins.py

@@ -0,0 +1,84 @@
+"""add bot_admins table and migrate config admins
+
+Revision ID: 0007_add_bot_admins
+Revises: 0006_normalize_mcp_remote_mode
+Create Date: 2026-06-26
+"""
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = '0007_add_bot_admins'
+down_revision = '0006_normalize_mcp_remote_mode'
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    conn = op.get_bind()
+    if 'bot_admins' in sa.inspect(conn).get_table_names():
+        return
+    op.create_table(
+        'bot_admins',
+        sa.Column('id', sa.Integer, primary_key=True, autoincrement=True),
+        sa.Column('bot_uuid', sa.String(255), nullable=False),
+        sa.Column('launcher_type', sa.String(64), nullable=False),
+        sa.Column('launcher_id', sa.String(255), nullable=False),
+        sa.Column('created_at', sa.DateTime, nullable=False, server_default=sa.func.now()),
+        sa.UniqueConstraint('bot_uuid', 'launcher_type', 'launcher_id', name='uq_bot_admin'),
+    )
+
+    # Migrate old config-based admins into the first bot (best-effort)
+    inspector = sa.inspect(conn)
+    tables = inspector.get_table_names()
+
+    if 'bots' not in tables:
+        return
+
+    # Read the first bot uuid
+    row = conn.execute(sa.text('SELECT uuid FROM bots ORDER BY created_at LIMIT 1')).first()
+    if row is None:
+        return
+    first_bot_uuid = row[0]
+
+    # Read instance_config metadata key that holds the admins list
+    if 'metadata' not in tables:
+        return
+    meta_row = conn.execute(sa.text("SELECT value FROM metadata WHERE key = 'instance_config'")).first()
+    if meta_row is None:
+        return
+
+    import json
+
+    try:
+        cfg = json.loads(meta_row[0])
+    except Exception:
+        return
+
+    admins = cfg.get('admins', [])
+    for entry in admins:
+        parts = entry.split('_', 1)
+        if len(parts) != 2:
+            continue
+        launcher_type, launcher_id = parts
+        try:
+            conn.execute(
+                sa.text(
+                    'INSERT OR IGNORE INTO bot_admins (bot_uuid, launcher_type, launcher_id) VALUES (:bu, :lt, :li)'
+                ),
+                {'bu': first_bot_uuid, 'lt': launcher_type, 'li': launcher_id},
+            )
+        except Exception:
+            pass
+
+    # Remove admins key from stored config
+    if 'admins' in cfg:
+        del cfg['admins']
+        conn.execute(
+            sa.text("UPDATE metadata SET value = :v WHERE key = 'instance_config'"),
+            {'v': json.dumps(cfg)},
+        )
+
+
+def downgrade() -> None:
+    op.drop_table('bot_admins')

src/langbot/pkg/persistence/alembic/versions/0008_add_mcp_resource_preferences.py

@@ -0,0 +1,95 @@
+"""add mcp resource preferences to pipelines
+
+Revision ID: 0008_mcp_resource_prefs
+Revises: 0007_add_bot_admins
+Create Date: 2026-06-30
+"""
+
+from __future__ import annotations
+
+import json
+from typing import Any
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = '0008_mcp_resource_prefs'
+down_revision = '0007_add_bot_admins'
+branch_labels = None
+depends_on = None
+
+
+_PIPELINE_TABLE = sa.table(
+    'legacy_pipelines',
+    sa.column('uuid', sa.String(255)),
+    sa.column('extensions_preferences', sa.JSON()),
+)
+
+
+def _has_extensions_preferences_table(conn: sa.Connection) -> bool:
+    inspector = sa.inspect(conn)
+    if 'legacy_pipelines' not in inspector.get_table_names():
+        return False
+    columns = {column['name'] for column in inspector.get_columns('legacy_pipelines')}
+    return 'extensions_preferences' in columns
+
+
+def _decode_preferences(value: Any) -> dict[str, Any]:
+    if value is None:
+        return {}
+    if isinstance(value, dict):
+        return dict(value)
+    if isinstance(value, str):
+        try:
+            decoded = json.loads(value)
+        except json.JSONDecodeError:
+            return {}
+        if isinstance(decoded, dict):
+            return decoded
+    return {}
+
+
+def _update_preferences(conn: sa.Connection, uuid: str, preferences: dict[str, Any]) -> None:
+    conn.execute(
+        _PIPELINE_TABLE.update().where(_PIPELINE_TABLE.c.uuid == uuid).values(extensions_preferences=preferences)
+    )
+
+
+def upgrade() -> None:
+    conn = op.get_bind()
+    if not _has_extensions_preferences_table(conn):
+        return
+
+    rows = conn.execute(sa.select(_PIPELINE_TABLE.c.uuid, _PIPELINE_TABLE.c.extensions_preferences)).all()
+    for uuid, raw_preferences in rows:
+        preferences = _decode_preferences(raw_preferences)
+        changed = False
+
+        if 'mcp_resources' not in preferences:
+            preferences['mcp_resources'] = []
+            changed = True
+        if 'mcp_resource_agent_read_enabled' not in preferences:
+            preferences['mcp_resource_agent_read_enabled'] = True
+            changed = True
+
+        if changed:
+            _update_preferences(conn, uuid, preferences)
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    if not _has_extensions_preferences_table(conn):
+        return
+
+    rows = conn.execute(sa.select(_PIPELINE_TABLE.c.uuid, _PIPELINE_TABLE.c.extensions_preferences)).all()
+    for uuid, raw_preferences in rows:
+        preferences = _decode_preferences(raw_preferences)
+        changed = False
+
+        for key in ('mcp_resources', 'mcp_resource_agent_read_enabled'):
+            if key in preferences:
+                preferences.pop(key)
+                changed = True
+
+        if changed:
+            _update_preferences(conn, uuid, preferences)

src/langbot/pkg/persistence/migrations/dbm026_monitoring_tool_calls.py

@@ -0,0 +1,17 @@
+from langbot.pkg.entity.persistence import monitoring as persistence_monitoring
+from .. import migration
+
+
+@migration.migration_class(26)
+class DBMigrateMonitoringToolCalls(migration.DBMigration):
+    """Add monitoring_tool_calls table"""
+
+    async def upgrade(self):
+        """Upgrade"""
+        async with self.ap.persistence_mgr.get_db_engine().begin() as conn:
+            await conn.run_sync(persistence_monitoring.MonitoringToolCall.__table__.create, checkfirst=True)
+
+    async def downgrade(self):
+        """Downgrade"""
+        async with self.ap.persistence_mgr.get_db_engine().begin() as conn:
+            await conn.run_sync(persistence_monitoring.MonitoringToolCall.__table__.drop, checkfirst=True)

src/langbot/pkg/pipeline/monitoring_helper.py

@@ -32,7 +32,7 @@ class MonitoringHelper:
         """Record the start of query processing, returns message_id"""
         try:
             # Check if session exists, if not, record session start
-            session_id = f'{query.launcher_type}_{query.launcher_id}'
+            session_id = f'{query.launcher_type.value if hasattr(query.launcher_type, "value") else query.launcher_type}_{query.launcher_id}'
 
             # Get sender name from message event
             sender_name = None
@@ -137,7 +137,7 @@ class MonitoringHelper:
     ):
         """Record bot response message to monitoring"""
         try:
-            session_id = f'{query.launcher_type}_{query.launcher_id}'
+            session_id = f'{query.launcher_type.value if hasattr(query.launcher_type, "value") else query.launcher_type}_{query.launcher_id}'
 
             # Get sender name from message event
             sender_name = None
@@ -202,7 +202,7 @@ class MonitoringHelper:
     ) -> str:
         """Record query processing error, returns message_id"""
         try:
-            session_id = f'{query.launcher_type}_{query.launcher_id}'
+            session_id = f'{query.launcher_type.value if hasattr(query.launcher_type, "value") else query.launcher_type}_{query.launcher_id}'
 
             # Get sender name from message event
             sender_name = None
@@ -268,7 +268,7 @@ class MonitoringHelper:
     ):
         """Record LLM call"""
         try:
-            session_id = f'{query.launcher_type}_{query.launcher_id}'
+            session_id = f'{query.launcher_type.value if hasattr(query.launcher_type, "value") else query.launcher_type}_{query.launcher_id}'
 
             await ap.monitoring_service.record_llm_call(
                 bot_id=bot_id,

src/langbot/pkg/pipeline/pipelinemgr.py

@@ -96,6 +96,15 @@ class RuntimePipeline:
         extensions_prefs = pipeline_entity.extensions_preferences or {}
         self.enable_all_plugins = extensions_prefs.get('enable_all_plugins', True)
         self.enable_all_mcp_servers = extensions_prefs.get('enable_all_mcp_servers', True)
+        local_agent_config = (pipeline_entity.config or {}).get('ai', {}).get('local-agent', {})
+        self.mcp_resource_attachments = local_agent_config.get(
+            'mcp-resources',
+            extensions_prefs.get('mcp_resources', []),
+        )
+        self.mcp_resource_agent_read_enabled = local_agent_config.get(
+            'mcp-resource-agent-read-enabled',
+            extensions_prefs.get('mcp_resource_agent_read_enabled', True),
+        )
 
         if self.enable_all_plugins:
             # None indicates to use all available plugins
@@ -116,6 +125,8 @@ class RuntimePipeline:
         # Store bound plugins and MCP servers in query for filtering
         query.variables['_pipeline_bound_plugins'] = self.bound_plugins
         query.variables['_pipeline_bound_mcp_servers'] = self.bound_mcp_servers
+        query.variables['_pipeline_mcp_resource_attachments'] = self.mcp_resource_attachments
+        query.variables['_pipeline_mcp_resource_agent_read_enabled'] = self.mcp_resource_agent_read_enabled
 
         # Record query start for monitoring
         try:
@@ -157,7 +168,7 @@ class RuntimePipeline:
                     bot_message=query.resp_messages[-1],
                     message=result.user_notice,
                     quote_origin=query.pipeline_config['output']['misc']['quote-origin'],
-                    is_final=[msg.is_final for msg in query.resp_messages][0],
+                    is_final=[msg.is_final for msg in query.resp_messages][-1],
                 )
             else:
                 await query.adapter.reply_message(
@@ -178,7 +189,7 @@ class RuntimePipeline:
                 bot_name = query.variables.get('_monitoring_bot_name', 'Unknown')
                 pipeline_name = query.variables.get('_monitoring_pipeline_name', 'Unknown')
                 message_id = query.variables.get('_monitoring_message_id', '')
-                session_id = f'{query.launcher_type}_{query.launcher_id}'
+                session_id = f'{query.launcher_type.value if hasattr(query.launcher_type, "value") else query.launcher_type}_{query.launcher_id}'
 
                 # Update message status to error
                 if message_id:

src/langbot/pkg/pipeline/plugin_diagnostics.py

@@ -0,0 +1,274 @@
+from __future__ import annotations
+
+import traceback
+import weakref
+from dataclasses import dataclass, field
+from typing import Any
+
+import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
+import langbot_plugin.api.entities.builtin.platform.message as platform_message
+
+
+@dataclass(frozen=True)
+class PluginResponseSource:
+    plugin: dict[str, str]
+    event_name: str | None = None
+    is_approximate: bool = False
+
+
+@dataclass
+class QueryDiagnosticState:
+    pending_by_chain_id: dict[int, list[PluginResponseSource]] = field(default_factory=dict)
+    by_response_index: dict[int, list[PluginResponseSource]] = field(default_factory=dict)
+    finalizer: weakref.finalize | None = None
+
+
+_QUERY_STATES: dict[int, QueryDiagnosticState] = {}
+
+
+def record_plugin_response_source(
+    query: pipeline_query.Query,
+    response_index: int,
+    response_sources: list[dict[str, Any]] | None,
+    emitted_plugins: list[dict[str, Any]] | None = None,
+    event_name: str | None = None,
+) -> None:
+    plugin_sources = _build_plugin_sources(response_sources, emitted_plugins, event_name)
+    if not plugin_sources:
+        return
+    state = _get_or_create_query_state(query)
+    state.by_response_index[response_index] = plugin_sources
+
+
+def record_last_plugin_response_source(
+    query: pipeline_query.Query,
+    response_sources: list[dict[str, Any]] | None,
+    emitted_plugins: list[dict[str, Any]] | None = None,
+    event_name: str | None = None,
+) -> None:
+    record_plugin_response_source(
+        query,
+        len(query.resp_message_chain) - 1,
+        response_sources,
+        emitted_plugins,
+        event_name,
+    )
+
+
+def record_pending_plugin_response_source(
+    query: pipeline_query.Query,
+    message_chain: platform_message.MessageChain,
+    response_sources: list[dict[str, Any]] | None,
+    emitted_plugins: list[dict[str, Any]] | None = None,
+    event_name: str | None = None,
+) -> None:
+    plugin_sources = _build_plugin_sources(response_sources, emitted_plugins, event_name)
+    if not plugin_sources:
+        return
+    state = _get_or_create_query_state(query)
+    state.pending_by_chain_id[id(message_chain)] = plugin_sources
+
+
+def consume_pending_plugin_response_source(
+    query: pipeline_query.Query,
+    message_chain: platform_message.MessageChain,
+    response_index: int,
+) -> None:
+    state = _get_query_state(query)
+    if state is None:
+        return
+    source = state.pending_by_chain_id.pop(id(message_chain), None)
+    if source is None:
+        return
+    state.by_response_index[response_index] = source
+
+
+def clear_response_source(query: pipeline_query.Query, response_index: int) -> None:
+    state = _get_query_state(query)
+    if state is None:
+        return
+    state.by_response_index.pop(response_index, None)
+    _discard_query_state_if_empty(query)
+
+
+async def notify_response_delivery_failure(
+    ap: Any,
+    query: pipeline_query.Query,
+    response_index: int,
+    message_chain: platform_message.MessageChain,
+    error: Exception,
+) -> None:
+    try:
+        plugin_refs = _get_response_sources(query, response_index)
+        if not plugin_refs:
+            return
+        connector = getattr(ap, 'plugin_connector', None)
+        if connector is None or not hasattr(connector, 'notify_plugin_diagnostic'):
+            return
+        for source in plugin_refs:
+            payload = _build_delivery_failure_payload(
+                plugin_ref=source.plugin,
+                event_name=source.event_name,
+                is_approximate=source.is_approximate,
+                query=query,
+                response_index=response_index,
+                message_chain=message_chain,
+                error=error,
+            )
+            try:
+                await connector.notify_plugin_diagnostic(payload)
+            except Exception as diag_error:
+                _debug(ap, f'Plugin diagnostic forwarding failed: {diag_error}')
+    except Exception as diag_error:
+        _debug(ap, f'Plugin diagnostic forwarding skipped: {diag_error}')
+
+
+def get_emitted_plugins(event_ctx: Any) -> list[dict[str, Any]]:
+    emitted_plugins = getattr(event_ctx, '_emitted_plugins', [])
+    return emitted_plugins if isinstance(emitted_plugins, list) else []
+
+
+def get_response_sources(event_ctx: Any) -> list[dict[str, Any]] | None:
+    event_attrs = vars(event_ctx)
+    if '_response_sources' not in event_attrs:
+        return None
+    response_sources = event_attrs['_response_sources']
+    return response_sources if isinstance(response_sources, list) else []
+
+
+def _get_or_create_query_state(query: pipeline_query.Query) -> QueryDiagnosticState:
+    query_key = id(query)
+    state = _QUERY_STATES.get(query_key)
+    if state is not None:
+        return state
+
+    state = QueryDiagnosticState()
+    try:
+        state.finalizer = weakref.finalize(query, _discard_query_state, query_key)
+    except TypeError:
+        state.finalizer = None
+    _QUERY_STATES[query_key] = state
+    return state
+
+
+def _get_query_state(query: pipeline_query.Query) -> QueryDiagnosticState | None:
+    return _QUERY_STATES.get(id(query))
+
+
+def _discard_query_state(query_key: int) -> None:
+    _QUERY_STATES.pop(query_key, None)
+
+
+def _discard_query_state_if_empty(query: pipeline_query.Query) -> None:
+    query_key = id(query)
+    state = _QUERY_STATES.get(query_key)
+    if state is None:
+        return
+    if state.pending_by_chain_id or state.by_response_index:
+        return
+    if state.finalizer is not None:
+        state.finalizer.detach()
+    _discard_query_state(query_key)
+
+
+def _get_response_sources(
+    query: pipeline_query.Query,
+    response_index: int,
+) -> list[PluginResponseSource]:
+    state = _get_query_state(query)
+    if state is None:
+        return []
+    return state.by_response_index.get(response_index, [])
+
+
+def _extract_plugin_ref(plugin: Any) -> dict[str, str] | None:
+    manifest = plugin.get('manifest') if isinstance(plugin, dict) else None
+    metadata = manifest.get('metadata') if isinstance(manifest, dict) else None
+    if not isinstance(metadata, dict):
+        return None
+    author = metadata.get('author')
+    name = metadata.get('name')
+    if not author or not name:
+        return None
+    return {'author': str(author), 'name': str(name)}
+
+
+def _extract_response_source_plugin_ref(source: Any) -> dict[str, str] | None:
+    if not isinstance(source, dict):
+        return None
+    if source.get('kind') != 'reply_message_chain':
+        return None
+    plugin_ref = source.get('plugin')
+    if not isinstance(plugin_ref, dict):
+        return None
+    author = plugin_ref.get('author')
+    name = plugin_ref.get('name')
+    if not author or not name:
+        return None
+    return {'author': str(author), 'name': str(name)}
+
+
+def _build_plugin_sources(
+    response_sources: list[dict[str, Any]] | None,
+    emitted_plugins: list[dict[str, Any]] | None,
+    event_name: str | None,
+) -> list[PluginResponseSource]:
+    if response_sources is not None:
+        plugin_refs = [_extract_response_source_plugin_ref(source) for source in response_sources]
+        return [
+            PluginResponseSource(plugin=plugin, event_name=event_name) for plugin in plugin_refs if plugin is not None
+        ]
+
+    if emitted_plugins:
+        plugin_refs = [_extract_plugin_ref(plugin) for plugin in emitted_plugins]
+        return [
+            PluginResponseSource(plugin=plugin, event_name=event_name, is_approximate=True)
+            for plugin in plugin_refs
+            if plugin is not None
+        ]
+    return []
+
+
+def _debug(ap: Any, message: str) -> None:
+    logger = getattr(ap, 'logger', None)
+    if logger is not None:
+        logger.debug(message)
+
+
+def _build_delivery_failure_payload(
+    plugin_ref: dict[str, str],
+    event_name: str | None,
+    is_approximate: bool,
+    query: pipeline_query.Query,
+    response_index: int,
+    message_chain: platform_message.MessageChain,
+    error: Exception,
+) -> dict[str, Any]:
+    details: dict[str, Any] = {
+        'message_component_types': [component.__class__.__name__ for component in message_chain],
+        'message_preview': str(message_chain)[:200],
+    }
+    if is_approximate:
+        details['attribution_warning'] = (
+            'This diagnostic was delivered to all plugins that handled the event because the '
+            'plugin runtime did not report the exact reply_message_chain source.'
+        )
+
+    return {
+        'level': 'ERROR',
+        'code': 'response_delivery_failed',
+        'message': 'Failed to deliver a plugin-provided response message.',
+        'plugin': plugin_ref,
+        'query': {
+            'query_id': query.query_id,
+            'event_name': event_name or query.message_event.__class__.__name__,
+            'stage': query.current_stage_name or 'SendResponseBackStage',
+            'response_index': response_index,
+        },
+        'details': details,
+        'delivery': {
+            'error_type': error.__class__.__name__,
+            'error_message': str(error),
+            'traceback': traceback.format_exception_only(type(error), error)[-1].strip(),
+        },
+    }

src/langbot/pkg/pipeline/pool.py

@@ -42,9 +42,13 @@ class QueryPool:
         adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
         pipeline_uuid: typing.Optional[str] = None,
         routed_by_rule: bool = False,
+        variables: typing.Optional[dict[str, typing.Any]] = None,
     ) -> pipeline_query.Query:
         async with self.condition:
             query_id = self.query_id_counter
+            initial_variables: dict[str, typing.Any] = {'_routed_by_rule': routed_by_rule}
+            if variables:
+                initial_variables.update(variables)
             query = pipeline_query.Query(
                 bot_uuid=bot_uuid,
                 query_id=query_id,
@@ -53,7 +57,7 @@ class QueryPool:
                 sender_id=sender_id,
                 message_event=message_event,
                 message_chain=message_chain,
-                variables={'_routed_by_rule': routed_by_rule},
+                variables=initial_variables,
                 resp_messages=[],
                 resp_message_chain=[],
                 adapter=adapter,

src/langbot/pkg/pipeline/preproc/preproc.py

@@ -25,6 +25,21 @@ class PreProcessor(stage.PipelineStage):
         - use_funcs
     """
 
+    @staticmethod
+    def _filter_selected_tools(
+        tools: list,
+        local_agent_config: dict,
+    ) -> list:
+        if local_agent_config.get('enable-all-tools', True) is not False:
+            return tools
+
+        selected_tools = local_agent_config.get('tools', [])
+        if not isinstance(selected_tools, list):
+            return []
+
+        selected_tool_names = {tool for tool in selected_tools if isinstance(tool, str)}
+        return [tool for tool in tools if tool.name in selected_tool_names]
+
     async def process(
         self,
         query: pipeline_query.Query,
@@ -32,6 +47,7 @@ class PreProcessor(stage.PipelineStage):
     ) -> entities.StageProcessResult:
         """Process"""
         selected_runner = query.pipeline_config['ai']['runner']['runner']
+        local_agent_config = query.pipeline_config.get('ai', {}).get('local-agent', {})
         include_skill_authoring = (
             selected_runner == 'local-agent' and getattr(self.ap, 'skill_service', None) is not None
         )
@@ -43,7 +59,7 @@ class PreProcessor(stage.PipelineStage):
         if selected_runner == 'local-agent':
             # Read model config — new format is { primary: str, fallbacks: [str] },
             # but handle legacy plain string for backward compatibility
-            model_config = query.pipeline_config['ai']['local-agent'].get('model', {})
+            model_config = local_agent_config.get('model', {})
             if isinstance(model_config, str):
                 # Legacy format: plain UUID string
                 primary_uuid = model_config
@@ -113,11 +129,14 @@ class PreProcessor(stage.PipelineStage):
                     # Get bound plugins and MCP servers for filtering tools
                     bound_plugins = query.variables.get('_pipeline_bound_plugins', None)
                     bound_mcp_servers = query.variables.get('_pipeline_bound_mcp_servers', None)
-                    query.use_funcs = await self.ap.tool_mgr.get_all_tools(
+                    include_mcp_resource_tools = query.variables.get('_pipeline_mcp_resource_agent_read_enabled', True)
+                    all_tools = await self.ap.tool_mgr.get_all_tools(
                         bound_plugins,
                         bound_mcp_servers,
                         include_skill_authoring=include_skill_authoring,
+                        include_mcp_resource_tools=include_mcp_resource_tools,
                     )
+                    query.use_funcs = self._filter_selected_tools(all_tools, local_agent_config)
 
                     self.ap.logger.debug(f'Bound plugins: {bound_plugins}')
                     self.ap.logger.debug(f'Bound MCP servers: {bound_mcp_servers}')
@@ -128,11 +147,14 @@ class PreProcessor(stage.PipelineStage):
             if not query.use_funcs and query.variables.get('_fallback_model_uuids'):
                 bound_plugins = query.variables.get('_pipeline_bound_plugins', None)
                 bound_mcp_servers = query.variables.get('_pipeline_bound_mcp_servers', None)
-                query.use_funcs = await self.ap.tool_mgr.get_all_tools(
+                include_mcp_resource_tools = query.variables.get('_pipeline_mcp_resource_agent_read_enabled', True)
+                all_tools = await self.ap.tool_mgr.get_all_tools(
                     bound_plugins,
                     bound_mcp_servers,
                     include_skill_authoring=include_skill_authoring,
+                    include_mcp_resource_tools=include_mcp_resource_tools,
                 )
+                query.use_funcs = self._filter_selected_tools(all_tools, local_agent_config)
 
         sender_name = ''