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3 Commits

Author SHA1 Message Date
Junyan Qin
d568bbedc2 Add OSS and commercial workspace boundaries 2026-05-21 07:25:02 -04:00
Junyan Qin
d78a4fdea4 Document multi-tenant workspace architecture 2026-05-21 07:25:02 -04:00
Dongchuan Fu
894709d577 feat(qrcode-login): enhance WeChat login flow with expiration handlin… (#2212)
* feat(qrcode-login): enhance WeChat login flow with expiration handling and improved session management

* feat(qrcode-login): replace RefreshCw icon with RotateCw for loading state

* feat(qrcode-login): adjust session expiration handling and improve error status management
2026-05-21 14:28:02 +08:00
164 changed files with 5027 additions and 22616 deletions

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@@ -15,10 +15,14 @@ on:
branches:
- master
- develop
- 'feat/**'
# No path filter on push: every push to the branches above runs the
# full unit-test suite. feat/** branches in particular must be tested
# on every push (they accumulate large changes before a PR exists).
paths:
- 'src/langbot/**'
- 'tests/**'
- '.github/workflows/run-tests.yml'
- 'pyproject.toml'
- 'uv.lock'
- 'run_tests.sh'
- 'scripts/test-*.sh'
jobs:
test:

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@@ -25,7 +25,7 @@
<a href="https://link.langbot.app/zh/docs/guide">文档</a>
<a href="https://link.langbot.app/zh/docs/api">API</a>
<a href="https://space.langbot.app/cloud">Cloud</a>
<a href="https://space.langbot.app">扩展市场</a>
<a href="https://space.langbot.app">插件市场</a>
<a href="https://langbot.featurebase.app/roadmap">路线图</a>
</div>

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@@ -18,40 +18,6 @@ services:
networks:
- langbot_network
# The Box sandbox runtime is optional. It is only started when you run
# ``docker compose --profile box up`` (or ``docker compose --profile all
# up``). With Box off, LangBot keeps the dashboard / skills list visible
# (read-only) but disables sandbox tools, skill add/edit and stdio MCP —
# set ``box.enabled: false`` in ``data/config.yaml`` (or
# ``BOX__ENABLED=false`` in the langbot service env below) to match.
langbot_box:
image: rockchin/langbot:latest
container_name: langbot_box
profiles: ["box", "all"]
volumes:
# Keep the source and target path identical because langbot_box uses the
# host Docker socket to create sandbox containers. Override
# LANGBOT_BOX_ROOT with an absolute path if you do not want the default.
- ${LANGBOT_BOX_ROOT:-${PWD}/data/box}:${LANGBOT_BOX_ROOT:-${PWD}/data/box}
# Mount container runtime socket for Box sandbox backend.
# Uncomment the one that matches your container runtime:
# - /var/run/podman/podman.sock:/var/run/podman/podman.sock # Podman
- /var/run/docker.sock:/var/run/docker.sock # Docker
restart: on-failure
environment:
- TZ=Asia/Shanghai
# The Box runtime does NOT read box.local.* from config.yaml or env; it
# receives its configuration from LangBot via the INIT RPC action.
# Do not add LANGBOT_BOX_* / BOX__* here — they would be silently ignored.
# Launched through the same CLI entry point as the plugin runtime
# (`langbot_plugin.cli.__init__ <subcommand>`). WebSocket is the default
# control transport — mirrors `rt`, which also runs with no flag. Pass
# `-s` / `--stdio-control` only for the stdio mode LangBot uses outside
# containers.
command: ["uv", "run", "--no-sync", "-m", "langbot_plugin.cli.__init__", "box"]
networks:
- langbot_network
langbot:
image: rockchin/langbot:latest
container_name: langbot
@@ -60,13 +26,6 @@ services:
restart: on-failure
environment:
- 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__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}
ports:
- 5300:5300 # For web ui and webhook callback
- 2280-2285:2280-2285 # For platform reverse connection
@@ -75,4 +34,4 @@ services:
networks:
langbot_network:
driver: bridge
driver: bridge

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@@ -0,0 +1,858 @@
# LangBot 多租户与多用户改造方案
## 目标
本方案面向 LangBot 从“单实例单管理员”演进到 SaaS 友好的“多 workspace、多账户、多权限”架构。
核心定义:
- Account登录主体。一个自然人或服务账号可加入多个 workspace。
- Workspace租户边界。一个 workspace 内可拥有多个用户、机器人、流水线、模型、知识库、扩展、监控数据与 API Key。
- Membership账户与 workspace 的关系,承载角色与权限。
- Role/Permissionworkspace 内权限,不再用“是否是当前唯一用户”来决定访问能力。
目标体验:
- 新用户登录后可以创建 workspace、加入 workspace、切换 workspace。
- 同一个账户可加入多个 workspace每个 workspace 权限不同。
- 一个 workspace 可邀请多个用户协作,并分别设置 owner/admin/editor/viewer 等权限。
- 所有业务资源默认属于某个 workspace所有 API 默认在当前 workspace 下工作。
- Plugin SDK、MCP、知识库、模型调用、监控日志都能拿到稳定的 workspace 上下文,并且不跨租户泄露数据。
## 调研结论
### 当前 LangBot 的单用户假设
LangBot 现在已经有 `users` 表和 JWT 登录,但仍是单用户/单租户模型:
- `src/langbot/pkg/entity/persistence/user.py``User` 只保存 `user/password/account_type/space_*`没有角色、状态、workspace 关系。
- `src/langbot/pkg/api/http/service/user.py` 通过 `is_initialized()` 判断系统是否已有用户;`create_or_update_space_user()` 在系统已初始化且邮箱不匹配时拒绝新用户,这直接限制了多用户登录。
- `src/langbot/pkg/api/http/controller/group.py``AuthType.USER_TOKEN` 验证后只向 handler 注入 `user_email`JWT payload 也只有 `user`,没有 `account_id``workspace_id``role``permissions`
- `src/langbot/pkg/api/http/service/apikey.py` 的 API Key 只验证 key 是否存在,没有 owner、scope、workspace。
- `web/src/app/infra/http/BaseHttpClient.ts``localStorage.token` 读取单个 token并在所有请求上加 `Authorization`;前端没有 workspace selector也没有当前 workspace 上下文。
当前登录流程更像“初始化一个本地管理账号”,而不是 SaaS 账户体系。要支持多用户,必须把“初始化状态”和“首个 workspace 创建”拆开。
### 业务资源当前都是全局资源
主要持久化表没有租户字段:
- Bot`bots`
- Pipeline`legacy_pipelines``pipeline_run_records`
- Model`model_providers``llm_models``embedding_models``rerank_models`
- Plugin`plugin_settings`
- MCP`mcp_servers`
- RAG`knowledge_bases``knowledge_base_files``knowledge_base_chunks`
- Monitoring`monitoring_messages``monitoring_llm_calls``monitoring_sessions``monitoring_errors``monitoring_embedding_calls``monitoring_feedback`
- API Key`api_keys`
- Webhook`webhooks`
- Metadata`metadata`
- Binary storage`binary_storages`
对应服务也直接 select 全表,例如:
- `BotService.get_bots()` 返回所有 bot。
- `PipelineService.get_pipelines()` 返回所有 pipeline。
- `ModelProviderService.get_providers()` 返回所有 provider。
- `MCPService.get_mcp_servers()` 返回所有 MCP server。
- 插件和二进制存储没有 workspace 维度,插件 workspace storage 在 SDK 里还硬编码为 `default`
所以改造重点不是只给用户表加字段,而是给资源访问层统一加入 workspace scope。
### 运行时也存在全局单例假设
`src/langbot/pkg/core/stages/build_app.py` 初始化的是一个全局 `Application`,其中包含单例:
- `platform_mgr`
- `pipeline_mgr`
- `model_mgr`
- `tool_mgr`
- `plugin_connector`
- `sess_mgr`
- `rag_mgr`
- `vector_db_mgr`
当前运行时把所有 bot、pipeline、model、plugin、MCP 都加载到同一套内存管理器。多租户改造需要决定:是共享运行时并在对象上带 workspace 过滤,还是每个 workspace 拆 runtime shard。第一阶段建议共享进程、强制 workspace-aware等规模变大后再演进为按 workspace 分片。
### Plugin SDK 对 workspace 的假设
SDK 当前只认识 bot/pipeline/query/session不认识租户
- `src/langbot_plugin/api/entities/builtin/pipeline/query.py``Query``query_id/launcher_type/launcher_id/sender_id/bot_uuid/pipeline_uuid`,没有 `workspace_id/account_id`
- `src/langbot_plugin/api/entities/builtin/provider/session.py``Session` 只按 `launcher_type + launcher_id` 表达会话。
- `src/langbot_plugin/api/proxies/langbot_api.py` 暴露 `get_bots/get_llm_models/invoke_llm/list_tools/vector_*` 等 Host API都是全局语义。
- `src/langbot_plugin/runtime/io/handlers/plugin.py``set_workspace_storage/get_workspace_storage``owner_type` 设为 `workspace`,但 `owner` 固定为 `default`
- LangBot 侧 `src/langbot/pkg/plugin/handler.py` 处理插件请求时,会把 `GET_BOTS``GET_LLM_MODELS``VECTOR_*` 等转到全局服务。
这意味着多租户落地时,不能只在 Web API 层过滤;插件可以通过 Host API 访问全局资源,所以 SDK/Runtime 通信也必须传递 workspace context。
## 开源版与商业版产品边界
LangBot 是开源软件,但多 workspace 能力本质上是 SaaS 控制面能力。如果把完整多 workspace、成员协作、订阅权益和配额代码都放进开源仓库只靠本地 feature flag 或本地 license check无法有效避免第三方 fork 后自建 SaaS。因此建议采用 open-core 架构:开源版保留单 workspace 执行能力,账户、订阅、权益和多 workspace 协作能力放到 LangBot Space/Cloud Control Plane 和商业模块中。
### 版本边界
推荐拆成三层:
- `LangBot Core OSS`:开源,自托管,默认只有一个隐式 `default workspace`。它可以在数据结构上兼容 workspace但产品能力上不提供创建多个 workspace、切换 workspace、成员邀请、成员权限管理、审计和多租户配额。
- `LangBot Space / Cloud Control Plane`:托管控制面,负责 account、workspace、membership、subscription、billing、entitlement、license token、workspace quota、marketplace 权益等能力。
- `LangBot Commercial Module`:商业闭源或私有包,承载多 workspace、团队协作、RBAC、自定义角色、审计日志、SAML/SSO、企业私有化授权等能力。
企业私有化版本可以采用 `LangBot Core + Commercial Module + License Token` 的形式交付。开源 Core 仍然可独立运行,但只能作为单 workspace 自托管产品,不提供 SaaS 多租户控制面。
### OSS 中如何保留兼容但不开放多 workspace
为了让后续商业版复用同一套资源隔离模型OSS 代码里可以保留 `workspace_uuid` 相关字段和默认 workspace 迁移,但应限制为单 workspace
- 首次初始化时创建一个 `Default Workspace`
- 所有资源自动归属这个 default workspace。
- 不暴露 `POST /api/v1/workspaces`
- 不暴露 workspace switcher。
- 不暴露成员邀请和成员角色管理。
- 不支持一个 account 加入多个 workspace。
- 不支持 workspace 数量大于 1。
- 前端不展示 workspace selector。
- API 层如果收到非 default workspace 的 `X-Workspace-Id`,直接拒绝。
也就是说OSS 可以是 workspace-aware但不是 multi-workspace-enabled。这样做的价值是代码结构提前适配租户隔离未来商业版不用重写所有资源模型同时开源版用户无法直接通过 UI/API 获得 SaaS 型多租户能力。
### 账户、订阅和权益抽到 Space
账户和订阅体系建议从 LangBot Core 中抽出,交给 Space 控制面:
```text
LangBot Space
-> Account
-> Workspace
-> Membership
-> Subscription
-> Entitlement
-> License Token
LangBot Core
-> Validate entitlement / license
-> Run bots, pipelines, plugins, MCP, RAG
-> Enforce local resource scope
-> Report usage
```
这样做有几个原因:
- 账号体系如果完全在本地,第三方容易直接改库创建 workspace/membership。
- 订阅、配额和商业权益如果完全在本地,容易绕过。
- Space 可以统一处理 OAuth、组织、邀请、付款、发票、套餐、权益、Marketplace 分发权限。
- LangBot Core 只作为执行面消费 Space 下发的 entitlement减少商业规则暴露。
### Entitlement 设计
Space 向 LangBot Core 下发签名权益,可以是在线校验,也可以为企业版提供短期/长期离线 license token。
示例:
```json
{
"edition": "oss",
"workspace_limit": 1,
"member_limit": 1,
"multi_workspace": false,
"rbac": false,
"audit_log": false,
"custom_roles": false,
"sso": false,
"commercial_use": false,
"expires_at": 1893456000
}
```
OSS 默认权益:
- `workspace_limit = 1`
- `member_limit = 1`
- `multi_workspace = false`
- `rbac = false`
- `audit_log = false`
- `sso = false`
Cloud/Pro/Enterprise 权益:
- `workspace_limit > 1`
- `member_limit > 1`
- `multi_workspace = true`
- `rbac = true`
- 可按套餐打开 audit、custom roles、SSO、usage reporting、enterprise support 等能力。
Core 执行面需要在关键入口强制校验 entitlement
- 创建 workspace。
- 邀请成员。
- 修改成员角色。
- 切换 workspace。
- 创建超过 quota 的资源。
- 开启商业模块功能。
### 商业模块边界
以下能力不建议进入 OSS 仓库的完整实现:
- 多 workspace 创建和切换。
- Workspace 成员邀请。
- Workspace RBAC 和自定义角色。
- Workspace 审计日志。
- Workspace 级用量和配额管理。
- 订阅、账单、发票。
- 企业 SSO/SAML/OIDC。
- 在线/离线 license 管理。
- 多租户 SaaS 运营控制台。
OSS 仓库可以保留接口占位、默认 workspace 兼容和必要的数据隔离字段,但完整交互、管理 UI、权益校验器和多 workspace policy engine 应由 Space 或商业模块提供。
### 防自建 SaaS 的现实边界
技术上无法 100% 阻止别人 fork 开源代码后自行改造。更可靠的策略是组合:
- 不把完整商业多 workspace 实现放进 OSS。
- Space 控制面提供账号、订阅、权益、Marketplace 和官方托管能力。
- 商业模块闭源或私有分发。
- 使用商标、云服务条款和商业 license 限制“自称官方 LangBot SaaS”或未经授权商用托管。
- 如果当前开源 license 对托管商用限制不足,需要单独评估 license 策略,必要时引入 open-core license 或新增商业附加条款。具体 license 调整需要法律评审。
结论:多 workspace 的底层 schema 可以在 OSS 中以 default workspace 兼容方式铺路,但多 workspace 产品能力、账户订阅权益、协作管理和 SaaS 控制面应放到 Space/商业模块,不作为开源版可直接使用的能力。
## 推荐总体架构
采用“单实例多 workspace资源行级隔离运行时上下文隔离”的架构
```mermaid
flowchart TD
A["Account"] --> B["WorkspaceMembership"]
B --> C["Workspace"]
C --> D["Bots"]
C --> E["Pipelines"]
C --> F["Models & Providers"]
C --> G["Knowledge Bases"]
C --> H["Extensions: Plugins / MCP"]
C --> I["API Keys & Webhooks"]
C --> J["Monitoring"]
D --> K["Runtime Query"]
E --> K
K --> L["Plugin Runtime"]
K --> M["MCP Runtime"]
L --> N["Workspace-scoped Host APIs"]
```
原则:
- 账户全局唯一workspace 是所有业务资源的归属边界。
- 所有 HTTP handler 在进入业务服务前解析出 `RequestContext(account, workspace, membership, permissions)`
- 所有 service 方法显式接收 `ctx``workspace_id`,禁止在业务服务里无条件 select 全表。
- 运行时对象的 key 从 `uuid` 扩展为 `(workspace_id, uuid)` 或使用全局唯一 uuid 但必须记录 workspace_id 并校验。
- 插件/MCP/知识库/模型调用都按 query 所属 workspace 过滤可用资源。
## 数据模型设计
### Account
替代现有 `users` 的语义,建议保留表名但升级字段,避免过大迁移:
字段建议:
- `id`
- `uuid`
- `email`
- `password_hash`
- `display_name`
- `avatar_url`
- `account_type`: `local | space`
- `status`: `active | disabled | deleted`
- `space_account_uuid`
- `space_access_token`
- `space_refresh_token`
- `space_access_token_expires_at`
- `space_api_key`
- `created_at`
- `updated_at`
兼容策略:
- 旧字段 `user` 迁移为 `email`,可以短期保留 alias。
-`password` 迁移为 `password_hash`也可先保持列名不变service 层改命名。
- JWT 中不要继续只放 email应放 `sub=account_uuid`
### Workspace
新增 `workspaces`
- `uuid`
- `name`
- `slug`
- `avatar_url`
- `type`: `personal | team`
- `status`: `active | suspended | deleted`
- `default_language`
- `created_by_account_uuid`
- `created_at`
- `updated_at`
每个账户首次登录时自动创建一个 personal workspace。旧单用户实例迁移时创建一个 `Default Workspace`
### WorkspaceMembership
新增 `workspace_memberships`
- `workspace_uuid`
- `account_uuid`
- `role`: `owner | admin | developer | operator | viewer`
- `status`: `active | invited | disabled`
- `invited_by_account_uuid`
- `joined_at`
- `created_at`
- `updated_at`
唯一索引:
- `(workspace_uuid, account_uuid)`
### WorkspaceInvitation
新增 `workspace_invitations`
- `uuid`
- `workspace_uuid`
- `email`
- `role`
- `token_hash`
- `expires_at`
- `accepted_at`
- `created_by_account_uuid`
- `created_at`
用于邀请外部用户加入 workspace。Space OAuth 登录时可以根据 email 自动匹配未接受邀请。
### Role 与 Permission
先用固定角色,后续再做自定义角色。
建议权限:
- `workspace.manage`
- `member.view`
- `member.invite`
- `member.update_role`
- `member.remove`
- `bot.view`
- `bot.manage`
- `pipeline.view`
- `pipeline.manage`
- `model.view`
- `model.manage`
- `knowledge.view`
- `knowledge.manage`
- `extension.view`
- `extension.manage`
- `monitoring.view`
- `apikey.manage`
- `webhook.manage`
- `billing.view`
- `billing.manage`
角色映射:
| Role | 说明 | 权限 |
| --- | --- | --- |
| owner | workspace 拥有者 | 全部权限;可转让 owner不可被其他角色移除 |
| admin | 管理员 | 除 owner 转让和删除 workspace 外的全部权限 |
| developer | 构建者 | 管理 bot、pipeline、model、knowledge、extension、webhook可看监控 |
| operator | 运营者 | 查看和启停 bot、查看监控、查看配置不可改密钥和删除资源 |
| viewer | 只读成员 | 只读资源和监控 |
### 业务资源加 workspace_uuid
以下表需要新增 `workspace_uuid`
- `bots`
- `legacy_pipelines`
- `pipeline_run_records`
- `model_providers`
- `llm_models`
- `embedding_models`
- `rerank_models`
- `plugin_settings`
- `mcp_servers`
- `knowledge_bases`
- `knowledge_base_files`
- `knowledge_base_chunks`
- `monitoring_*`
- `api_keys`
- `webhooks`
- `binary_storages`
- `metadata`
索引建议:
- 所有资源表加 `(workspace_uuid, created_at)``(workspace_uuid, updated_at)`
- 资源唯一键从单列改为 workspace 复合唯一:
- `bots.uuid` 可保持全局唯一,但查询仍必须带 workspace。
- `plugin_settings` 主键从 `(plugin_author, plugin_name)` 改为 `(workspace_uuid, plugin_author, plugin_name)`
- `mcp_servers.name` 如果未来要求唯一,必须是 `(workspace_uuid, name)`
- `metadata.key` 改为 `(workspace_uuid, key)`,系统级 metadata 单独放 `system_metadata` 或使用 `workspace_uuid=NULL`
- `binary_storages.unique_key` 建议改为 `workspace_uuid + owner_type + owner + key` 的 hash。
### API Key
API Key 必须归属于 workspace
- `workspace_uuid`
- `created_by_account_uuid`
- `scopes`
- `expires_at`
- `last_used_at`
- `status`
验证 API Key 后生成 `RequestContext`
- `account_uuid=None` 或 service account uuid
- `workspace_uuid=key.workspace_uuid`
- `permissions=key.scopes`
这样 `/api/v1/platform/bots/<uuid>/send_message` 之类接口不会跨 workspace 操作 bot。
## 后端改造方案
### RequestContext
新增统一上下文对象,例如:
```python
class RequestContext:
account_uuid: str | None
workspace_uuid: str
role: str | None
permissions: set[str]
auth_type: Literal["user_token", "api_key"]
```
改造 `RouterGroup.route()`
- `USER_TOKEN`:验证 JWT读取 `account_uuid`,再从 header/query/cookie 中解析 current workspace。
- `API_KEY`:验证 API Key直接得到 workspace。
- `USER_TOKEN_OR_API_KEY`:两者都返回同一种 `RequestContext`
- handler 参数从可选 `user_email` 升级为可选 `ctx`;兼容期同时支持 `user_email`
当前 workspace 传递方式:
- 推荐 header`X-Workspace-Id: <workspace_uuid>`
- Web 前端同时把当前 workspace 存在 localStorage。
- 如果未传,后端用账户最近使用 workspace 或第一个 active membership。
JWT payload
```json
{
"sub": "account_uuid",
"email": "user@example.com",
"iss": "LangBot-...",
"exp": 1234567890
}
```
不要把 workspace 写死在 JWT 里,否则切换 workspace 需要刷新 token。可以额外支持短 TTL workspace token但第一阶段不必。
### 服务层改造模式
所有 service 方法增加 `ctx``workspace_uuid`
```python
async def get_bots(self, ctx: RequestContext, include_secret: bool = True):
require(ctx, "bot.view")
query = sqlalchemy.select(Bot).where(Bot.workspace_uuid == ctx.workspace_uuid)
```
需要改造的服务:
- `UserService`:拆成 AccountService + WorkspaceService 更清晰。
- `ApiKeyService`:按 workspace 管理 key。
- `BotService`:所有 bot 查询/创建/更新/删除按 workspace。
- `PipelineService`:所有 pipeline 查询/默认 pipeline 按 workspace。
- `ModelProviderService` 和 model services按 workspace 隔离 provider 和 model。
- `MCPService`:按 workspace 管理 MCP server运行时按 workspace host。
- `KnowledgeService/RAGRuntimeService`:按 workspace 管理 KB、文件、collection。
- `MonitoringService`:记录和查询都带 workspace。
- `WebhookService`:按 workspace 管理 webhook。
- `PluginRuntimeConnector`:插件安装、设置、配置按 workspace。
### HTTP API 形态
保留现有路径,靠 `X-Workspace-Id` 表示当前 workspace可减少前端和 SDK 破坏:
- `GET /api/v1/workspaces`
- `POST /api/v1/workspaces`
- `GET /api/v1/workspaces/current`
- `PUT /api/v1/workspaces/current`
- `GET /api/v1/workspaces/<workspace_uuid>/members`
- `POST /api/v1/workspaces/<workspace_uuid>/invitations`
- `PUT /api/v1/workspaces/<workspace_uuid>/members/<account_uuid>`
- `DELETE /api/v1/workspaces/<workspace_uuid>/members/<account_uuid>`
现有资源 API
- `/api/v1/platform/bots`
- `/api/v1/pipelines`
- `/api/v1/provider/*`
- `/api/v1/plugins`
- `/api/v1/mcp`
- `/api/v1/knowledge`
继续保留,但必须从 `RequestContext.workspace_uuid` 过滤。
对外 API Key 也使用相同路径,只是由 key 决定 workspace。
### 初始化流程
现有 `/api/v1/user/init` 含义改为“创建首个账号和首个 workspace”
1. 如果系统没有任何 account
- 创建 account。
- 创建 personal/team workspace。
- 创建 owner membership。
- 创建默认 pipeline。
- 标记 wizard status 到该 workspace metadata。
2. 如果系统已有 account
- 禁止无邀请注册,除非配置允许公开注册。
- Space OAuth 登录后,如果没有 membership引导创建 workspace 或接受邀请。
`/api/v1/user/account-info` 不应再只返回 first user应返回
- `initialized`
- `registration_mode`
- `space_enabled`
- `default_login_methods`
登录成功后前端调用 `/api/v1/workspaces` 选择 workspace。
### 运行时隔离
第一阶段采用共享进程 + workspace-aware runtime
- `RuntimeBot` 增加 `workspace_uuid`
- `RuntimePipeline` 增加 `workspace_uuid`
- `Query` 增加 `workspace_uuid`,从 bot/pipeline 派生。
- `SessionManager.get_session()` key 从 `(launcher_type, launcher_id)` 改为 `(workspace_uuid, bot_uuid, launcher_type, launcher_id)`
- `PipelineManager.pipeline_dict` key 可保持 pipeline uuid但所有 load/get 都校验 workspace如果 uuid 不是全局唯一则改为 `(workspace_uuid, pipeline_uuid)`
- `ModelManager` provider/model 加 workspace 过滤;`get_model_by_uuid` 必须确保 query workspace 可访问。
- `ToolManager` 中 MCP tools、plugin tools 按 query workspace 过滤。
后续规模化时可演进:
- workspace runtime shard每个 workspace 一套 plugin runtime/MCP runtime。
- 大客户独立进程或独立数据库。
## Plugin SDK 与 Runtime 改造
### Query/Event 增加 workspace context
SDK `Query` 增加:
- `workspace_uuid: str`
- `workspace_slug: str | None`
- `account_uuid: str | None`,仅 Web/API 触发时可能有,聊天平台消息通常为空。
Event 模型通过 `event.query.workspace_uuid` 可拿到租户上下文;序列化时也应包含这些字段。
向后兼容:
- 字段可选,默认 `None`
- 老插件不感知这些字段也能跑。
- 新插件可通过 `ctx.event.query.workspace_uuid` 或新增 `ctx.get_workspace()` 访问。
### Host API 默认按当前 workspace 限制
`LangBotAPIProxy` 的以下方法必须由 Host 端按 workspace 过滤:
- `get_bots`
- `get_bot_info`
- `send_message`
- `get_llm_models`
- `invoke_llm`
- `list_plugins_manifest`
- `list_commands`
- `list_tools`
- `call_tool`
- `invoke_embedding`
- `vector_*`
- `list_knowledge_bases`
- `retrieve_knowledge`
建议新增显式方法:
- `get_workspace_info()`
- `get_current_account()`
- `get_workspace_storage(...)`
但不要让插件传入任意 workspace id 来越权访问。插件请求的 workspace 应由 Runtime 根据当前 query/plugin connection 填充。
### Workspace storage 修复
当前 SDK runtime 中:
```python
data["owner_type"] = "workspace"
data["owner"] = "default"
```
必须改为:
- 如果请求来自 query/eventowner 为 `workspace_uuid`
- 如果请求来自后台插件任务owner 为 plugin 安装所属 workspace。
- Host 侧 `binary_storages``workspace_uuid`,并在 unique key 中包含 workspace。
Plugin storage 建议也同时加 workspace
- 现在 plugin storage owner 是 `author/name`,这会导致同一插件在不同 workspace 的私有数据冲突。
- 应改为 `(workspace_uuid, plugin_id, key)`
### 插件安装与配置
`plugin_settings` 从全局变为 workspace-scoped
- 同一个插件可安装到多个 workspace。
- 每个 workspace 有自己的 enabled、priority、config、install_source、install_info。
- 插件 runtime 列表需要能按 workspace 过滤。
实现路线有两种:
1. 共享插件进程,插件代码只加载一份,设置和调用时附带 workspace。
2. 每个 workspace 一个插件容器实例,隔离最彻底但资源占用更高。
推荐第一阶段采用方案 1但要求
- 所有 RuntimeToLangBot/PluginToRuntime action 都能携带 `workspace_uuid`
- 插件 config 获取时按 workspace 返回。
- 插件 page API 请求必须校验当前用户在该 workspace 有访问权限。
### MCP
MCP server 是租户资源:
- `mcp_servers.workspace_uuid`
- MCP session key 从 `server_name` 改为 `(workspace_uuid, server_name)` 或使用全局 uuid。
- Pipeline extension preferences 中绑定 MCP server uuid 时,只能绑定同 workspace 的 server。
- MCP tool 列表在 query 执行时按 query.workspace_uuid + pipeline 绑定关系过滤。
## 前端改造
### Workspace selector
Home layout 顶部或 sidebar 增加 workspace selector
- 当前 workspace 名称和头像。
- 切换 workspace 后写入 `localStorage.currentWorkspaceId`
- 所有请求自动带 `X-Workspace-Id`
- 切换后刷新 sidebar 数据和页面缓存。
`BaseHttpClient` request interceptor 增加:
```ts
const workspaceId = localStorage.getItem("currentWorkspaceId");
if (workspaceId) config.headers["X-Workspace-Id"] = workspaceId;
```
### 用户与成员管理页面
新增页面:
- `/home/workspace/settings`
- `/home/workspace/members`
- `/home/workspace/invitations`
能力:
- owner/admin 邀请成员。
- owner/admin 修改成员角色。
- owner 移除成员、转让 owner。
- 所有人可切换 workspace。
- viewer/operator 在 UI 上隐藏不可操作按钮,但后端仍做权限校验。
### 登录与注册
登录后流程:
1. `authUser` 拿 token。
2. `initializeUserInfo()` 获取 account info。
3. `GET /api/v1/workspaces`
4. 如果没有 workspace进入创建 workspace 向导。
5. 如果有多个 workspace默认进入最近使用 workspace可切换。
注册页不再表达“初始化管理员账号”,而是:
- 首次系统启动:创建首个 owner + default workspace。
- 后续:根据配置允许公开注册,或只能接受邀请。
### 旧页面影响
需要逐个检查这些页面的数据加载是否都依赖当前 workspace
- Bots
- Pipelines
- Plugins/Market/MCP
- Knowledge
- Monitoring
- Models dialog
- API integration dialog
- Wizard
## 迁移方案
### 迁移阶段 0准备
- 引入 `workspaces``workspace_memberships``workspace_invitations`
-`users` 增加 `uuid/status/display_name` 等字段。
- 创建 `RequestContext`,但先不强制所有服务改完。
### 迁移阶段 1默认 workspace
对现有实例执行迁移:
1. 创建 `Default Workspace`
2. 找到现有第一个 user设为 owner。
3. 所有已有资源写入 `workspace_uuid=default_workspace_uuid`
4. `metadata` 迁入 default workspace确实全局的配置放到 `system_metadata`
5. `binary_storages``owner_type=workspace, owner=default` 改为 owner 为 default workspace uuid。
6. 插件 `plugin_settings` 归入 default workspace。
### 迁移阶段 2服务层强制 scope
- 改所有 service 查询,必须要求 `workspace_uuid`
- API Key 迁移为 workspace key。
- 所有写操作必须检查权限。
- 监控和任务查询按 workspace 过滤。
### 迁移阶段 3运行时上下文
- `Query``Session``RuntimeBot``RuntimePipeline` 增加 workspace。
- Plugin/MCP/Model/RAG runtime 全部按 workspace 过滤。
- 修复 SDK workspace storage。
### 迁移阶段 4前端多 workspace
- 登录后 workspace 选择。
- Header/sidebar workspace switcher。
- 成员和邀请管理。
- 所有 API 请求带 `X-Workspace-Id`
### 迁移阶段 5安全收敛
- 添加跨 workspace 越权测试。
- 添加 API Key scope 测试。
- 添加插件 Host API 过滤测试。
- 添加 MCP 和 RAG 隔离测试。
## 安全边界
必须防的场景:
- 用户 A 修改 URL 中 bot uuid访问用户 B workspace 的 bot。
- API Key 来自 workspace A但调用 workspace B 的 bot。
- 插件通过 `get_bots()` 枚举所有 workspace 的 bot。
- 插件通过 `workspace_storage` 读取其它 workspace 的数据。
- MCP server 名称相同导致 session 复用。
- monitoring session_id 相同导致数据串租户。
- Space OAuth 登录时,同 email 账户被错误绑定到已有本地 account。
建议策略:
- 所有资源访问都使用 `workspace_uuid + resource_id`
- 所有 service 方法入口做权限检查。
- 插件 Host API 的 workspace 不信任插件入参,只信任 query/runtime connection 上下文。
- API Key 只授予最小 scope默认不允许成员管理。
- owner 角色不能被普通 admin 移除或降权。
## 实施优先级
### P0基础租户骨架
- Account uuid/status。
- Workspace / Membership / Invitation。
- RequestContext。
- JWT 改为 account uuid。
- 前端 current workspace header。
### P1资源行级隔离
- Bots、Pipelines、Models、MCP、Plugins、Knowledge、Monitoring、API Keys 全部加 workspace_uuid。
- service 查询统一加 workspace filter。
- 权限矩阵落地。
### P2运行时隔离
- Query、Session、RuntimeBot、RuntimePipeline 加 workspace。
- Plugin Host API 和 MCP tools 按 workspace 过滤。
- SDK workspace storage 从 `default` 改为真实 workspace。
### P3协作体验
- 邀请成员。
- 成员列表和角色管理。
- workspace switcher。
- 最近使用 workspace。
### P4SaaS 运维增强
- Workspace 级用量统计。
- Workspace 级限额max_bots/max_pipelines/max_extensions/tokens/storage。
- 审计日志。
- workspace suspend/delete。
- 可选自定义角色。
## 测试计划
后端测试:
- 账户可加入多个 workspace。
- 同账户在不同 workspace 权限不同。
- viewer 不能创建/修改资源。
- API Key 只能访问所属 workspace。
- 所有资源 list/get/update/delete 都不能跨 workspace。
- 默认 workspace 迁移后旧数据可用。
运行时测试:
- 两个 workspace 使用相同 `launcher_id` 不共享 session。
- 两个 workspace 使用相同 MCP server name 不共享 MCP session。
- 插件 `get_bots()` 只能看到当前 workspace bot。
- 插件 `workspace_storage` 在不同 workspace 读写隔离。
- Pipeline 只调用当前 workspace 绑定的插件和 MCP tools。
前端测试:
- 登录后自动进入最近 workspace。
- 切换 workspace 后列表数据变化。
- 无权限按钮隐藏,直接调用 API 也被后端拒绝。
- 邀请成员流程完整。
迁移测试:
- SQLite 老实例迁移。
- PostgreSQL 老实例迁移。
- 已有 local account 迁移为 default workspace owner。
- 已有 Space account token 和 Space model provider API key 不丢失。
## 关键实现注意事项
- 不建议在第一版做数据库 schema-per-tenant。LangBot 当前 ORM 和运行时均以单库单表为主,先做 shared schema + workspace_uuid 成本更低。
- 不建议每个 workspace 立即启动独立 plugin runtime。先共享 runtime强制 action 带 workspace大客户隔离可作为后续部署形态。
- 不要只在前端过滤 workspace。插件、API Key、MCP、RAG 都能绕过前端,必须在后端和运行时层过滤。
- `metadata` 要拆清楚wizard status 属于 workspace系统版本/迁移信息属于 system。
- `users.user` 用 email 当主键语义不稳,应尽快引入 `account_uuid` 并让 JWT 以 uuid 为准。
- `plugin_settings` 当前主键没有 workspace改造时要先改主键/唯一约束,否则同插件无法在多个 workspace 配不同配置。
## 建议落地顺序
1. 新增 workspace/account/membership 表和 RequestContext。
2. 迁移旧数据到 default workspace。
3. 改 auth 和前端请求头,让每个请求都有 current workspace。
4. 从最核心资源开始逐个加 scopebot -> pipeline -> provider/model -> plugin/MCP -> knowledge -> monitoring。
5. 改 SDK Query/Event 和 runtime storage。
6. 上成员管理 UI 和邀请。
7. 做越权测试和迁移测试。
这个顺序的好处是可以较早让主 UI 在一个 workspace 下继续工作,同时把最危险的跨租户泄露面逐步收紧。

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@@ -1,595 +0,0 @@
# Box 系统架构深度分析
> 更新日期: 2026-06-02
> 状态更新: 自部署社区版已具备发布条件box 可选、降级完善、无迁移欠债);工具调用循环上限、配额遍历异步化、`host_path` 挂载白名单等已落地。剩余多租户 / 安全硬化项见 [SaaS 阻塞项清单](./box-issues.md)。
> 分支: `feat/sandbox` (LangBot + langbot-plugin-sdk)
> 相关文档: [SaaS 阻塞项](./box-issues.md) | [Session 作用域](./box-session-scope.md) | [Runtime 对比](./box-vs-plugin-runtime.md) | [测试覆盖](./box-test-coverage.md) | [toB 分析](./box-tob-analysis.md)
---
## 1. 全局架构
```
┌──────────────────────────────────────────────────────────────────┐
│ LangBot 主进程 │
│ │
│ LocalAgentRunner ──> ToolManager ──> NativeToolLoader │
│ │ │ │ │
│ │ │ exec / read / write / edit │
│ │ │ glob / grep │
│ │ │ │
│ │ ├──> MCPLoader ──> BoxStdioSession │
│ │ │ (shared 容器, 多 process) │
│ │ │ │
│ │ ├──> SkillToolLoader (activate 工具) │
│ │ │ │
│ │ ├──> SkillAuthoringToolLoader │
│ │ │ │
│ │ └──> PluginToolLoader │
│ │ │
│ BoxService (门面) │
│ ├─ Profile 管理 (locked 字段) │
│ ├─ Host mount 校验 (allowed_mount_roots) │
│ ├─ Workspace quota 检查 │
│ ├─ 输出截断 (head+tail) │
│ ├─ Session ID 模板解析 (resolve_box_session_id) │
│ ├─ 技能挂载组装 (build_skill_extra_mounts) │
│ ├─ 重连循环 (_reconnect_loop, 指数退避) │
│ └─ BoxRuntimeConnector │
│ ├─ 心跳 loop (20s ping) │
│ └─ ActionRPCBoxClient │
│ │ Action RPC (stdio 或 WebSocket) │
│ │
│ SkillManager (skill_mgr) │
│ └─ 从 Box runtime 拉取 skills, 不可用时回落 data/skills │
└──────────────────────────────────────────────────────────────────┘
┌──────────────────────────────────────────────────────────────────┐
│ Box Runtime 进程 (SDK 侧) │
│ │
│ BoxServerHandler (Action RPC 处理, INIT 配置注入) │
│ │ │
│ BoxRuntime (session 管理 / 进程生命周期 / TTL reaper) │
│ │ └─ session.managed_processes: dict[pid, _ManagedProcess]
│ │ │
│ Backend (启动时根据 box.backend 配置选择): │
│ DockerBackend ──┐ │
│ PodmanBackend ──┤── CLISandboxBackend │
│ NsjailBackend ──┘ (本地 CLI 或 fallback 到容器内 CLI) │
│ E2BBackend (云沙箱, 需要 E2B_API_KEY) │
│ │
│ BoxSkillStore │
│ ├─ list / get / create / update / delete │
│ ├─ scan_skill_directory / read_skill_file / write_skill_file │
│ └─ preview_skill_zip / install_skill_zip (zip 或 GitHub) │
│ │
│ aiohttp 单端口服务 (默认 :5410): │
│ /rpc/ws — Action RPC │
│ /v1/sessions/{id}/managed-process/ws — 默认 process │
│ /v1/sessions/{id}/managed-process/{pid}/ws — 指定 process │
└──────────────────────────────────────────────────────────────────┘
┌──────────────────────────────────────────────────────────────────┐
│ 容器 / 沙箱 (Docker/Podman 容器, nsjail sandbox, 或 E2B 远程沙箱) │
│ - 隔离文件系统 / 网络 / PID 命名空间 │
│ - 资源限制 (CPU, 内存, PID 数, 可选 workspace 配额) │
│ - 主挂载 (host_path → mount_path) + 任意条 extra_mounts │
│ └─ Skills 通过 extra_mounts 挂在 /workspace/.skills/<name> │
│ - exec: 用户命令在此执行 │
│ - managed process: 多个长驻进程并存 (MCP Server / 自定义服务) │
└──────────────────────────────────────────────────────────────────┘
```
**核心设计原则**:
- Box Runtime 作为独立进程运行,通过 Action RPC 与 LangBot 主进程通信,两者复用 SDK 的 IO 层Handler → Connection → Controller
- 一个 session_id 对应一个容器/沙箱实例。同一 session 内可并存多条 mount 与多个 managed process
- Skill / 默认 exec / MCP Server 共享同一个 session 容器(详见 [box-session-scope.md](./box-session-scope.md)
---
## 2. LangBot 侧模块
### 2.1 BoxService (`pkg/box/service.py`, 722 行)
应用层门面,协调 Profile、安全校验、配额、连接、Skill 挂载与 Session 模板:
主要公开方法(按定义顺序):
```
BoxService
├─ initialize() 连接 Box Runtime + 默认 workspace 准备
├─ _on_runtime_disconnect(connector) 触发重连
├─ _reconnect_loop(connector) 指数退避重连
├─ available (property) 连接状态
├─ resolve_box_session_id(query) 从 pipeline 模板解析 session_id
├─ build_skill_extra_mounts(query) 组装 pipeline-bound skill 的挂载列表
├─ execute_tool(parameters, query) Agent 调用 exec 时的入口
│ ├─ _apply_profile / build_spec
│ ├─ _validate_host_mount
│ ├─ _enforce_workspace_quota (phase=pre)
│ ├─ client.execute(spec)
│ ├─ _enforce_workspace_quota (phase=post)
│ └─ _truncate (stdout/stderr)
├─ execute_spec_payload(spec_payload, ...) 内部入口(其他 loader 调用)
├─ create_session(spec_payload, ...) 显式创建 session
├─ start_managed_process(session_id, ...) 启动 managed process
├─ get_managed_process(session_id, pid) 查询进程状态pid 默认 'default'
├─ stop_managed_process(session_id, pid) 单独停止某个 managed process
├─ get_managed_process_websocket_url(...) 返回 WS attach URL
├─ list_skills() / get_skill(name) Skill 元数据
├─ create_skill / update_skill / delete_skill Skill CRUD
├─ scan_skill_directory(path) 扫描目录
├─ list_skill_files / read_skill_file / write_skill_file
├─ preview_skill_zip / install_skill_zip zip / GitHub 安装
├─ shutdown() / dispose() 清理RPC SHUTDOWN + 进程终止
├─ get_status() / get_sessions() / get_recent_errors()
└─ get_system_guidance() LLM 系统提示
```
**Profile 系统**: 4 个内置 Profile`default` / `offline_readonly` / `network_basic` / `network_extended``locked` frozenset 字段不可被 LLM 覆盖。参数合并顺序Profile defaults → LLM 请求参数 → locked 强制值。
**输出截断**: 默认 4000 字符上限,保留前 60% + 后 40%,中间插入 `[...truncated...]`
**Skill 挂载合并**: `execute_tool()` 调用时,`build_skill_extra_mounts(query)` 会把当前 pipeline-bound 的所有 skill 的 `package_root` 作为 `extra_mounts` 加入 BoxSpec挂在 `/workspace/.skills/<name>`。LLM 通过 `activate` 工具显式激活某个 skill 后,工具调用才允许引用这个 skill 的虚拟路径。
### 2.2 BoxRuntimeConnector (`pkg/box/connector.py`, 357 行)
管理与 Box Runtime 的通信连接:
- **本地 stdio**: Unix/macOS 默认路径fork `python -m langbot_plugin.cli.__init__ box -s --ws-control-port {port}` 子进程(与 plugin runtime 统一走 `lbp` CLI 入口)
- **本地 subprocess + WS**: Windows 本地asyncio ProactorEventLoop 不支持 stdio pipe
- **远程 WebSocket**: Docker 部署 / `box.runtime.endpoint` 显式配置时,连接 `ws://{host}:{port}/rpc/ws`
- **同步等待**: `asyncio.Event` + `wait_for(timeout=30s)` 模式确认连接
- **心跳**: `_heartbeat_loop()` 每 20s 调用 `ping()`,失败仅 DEBUG 日志(断开检测靠 connection close
- **重连**: `runtime_disconnect_callback` 由 BoxService 提供,触发 `_reconnect_loop`
- **INIT 注入**: 连接建立后立即下发当前 `box.*` 配置子树(剔除 `runtime` 私有字段Runtime 据此初始化 backend
> **历史改进**: 2026-04-16 版本本文档曾列 P0 「Box 无心跳 / 无重连」已修复commit `2dfd9d5d`、`c6882cf`、`5029d9c` 等)。
### 2.3 BoxWorkspaceSession 工具 (`pkg/box/workspace.py`, 413 行)
此文件目前提供两类能力:
1. **路径与命令重写工具函数**`normalize_host_path` / `rewrite_mounted_path` / `unwrap_venv_path` / `rewrite_venv_command` / `infer_workspace_host_path`,被 MCP loader 与 Skill 路径解析共用。
2. **`BoxWorkspaceSession`** — 围绕 BoxService 的轻量包装,专供 MCP-in-Box 场景使用(管理一个共享 session 的 session_id、构建挂载 payload、stage host 文件到共享 workspace
**变化点**: 早期 Skill exec 会为每个 skill 创建独立 BoxWorkspaceSession独占 session当前实现已转为 `extra_mounts` 模式Skill 不再独占容器,只追加挂载。这部分 wrapping 逻辑已从 native loader 移除。
### 2.4 policy.py (`pkg/box/policy.py`, 98 行) — 仍是死代码
三层安全策略设计(`SandboxPolicy` / `ToolPolicy` / `ElevatedPolicy`),全项目无任何导入或调用。详见 [SaaS 阻塞项 S2](./box-issues.md)。
### 2.5 SkillManager (`pkg/skill/manager.py`, 186 行)
```
SkillManager
├─ initialize() 调用 reload_skills()
├─ reload_skills() 先从 Box runtime list_skills()
│ 不可用则回落 data/skills/ 扫描
├─ refresh_skill_from_disk() 单 skill 重新加载
├─ get_skill_by_name(name)
└─ get_managed_skills_root() 返回 Box 视角的 skills_root 路径
```
skill 元数据通过 `parse_frontmatter` 解析 `SKILL.md` 头部(`name` / `description` / `instructions`),不再做整体扫描的代价(典型 < 50 个)。
### 2.6 Skill activation (`pkg/skill/activation.py`, 33 行) + Skill loader 辅助
历史上 skill 通过 LLM 在文本中输出 `[ACTIVATE_SKILL:name]` 标记激活;当前已改为 **Tool Call 机制**
- `SkillToolLoader` (`pkg/provider/tools/loaders/skill.py`, 157 行) 暴露 `activate` 工具,参数为 skill 名
- 工具实现调用 `register_activated_skill(query, skill_data)`,将激活态写入 `query.variables['_activated_skills']`
- 这种 KV-cache-friendly 模式对齐 Claude Code 设计;详见 [box-session-scope.md §4.3](./box-session-scope.md) 的 Tool Call 描述
`activation.py` 现仅保留对外辅助函数pipeline 层调用 loader 的 `register_activated_skill`)。
---
## 3. SDK 侧模块
### 3.1 BoxRuntime (`box/runtime.py`, 599 行)
核心编排器,管理 session 生命周期与 backend 调度:
```
Session 生命周期:
Client EXEC / CREATE_SESSION
_get_or_create_session(spec)
├─ _reap_expired_sessions_locked() 清理 TTL 过期 session
├─ 已存在? → _assert_session_compatible() → 复用
├─ Backend session 失踪? → 重建 (commit c6882cf)
└─ 新建? → backend.start_session(spec) → 创建容器
│ └─ 应用 spec.extra_mounts (多挂载)
execute(spec)
├─ 获取 session lock (每 session 独立)
├─ backend.exec(session, spec) 在容器中执行命令
├─ 更新 last_used_at
└─ 超时? → 销毁 session
Session 保持存活直到:
├─ TTL 过期 (默认 300s下次操作时清理)
├─ 执行超时 (自动销毁)
├─ 客户端 DELETE_SESSION
└─ SHUTDOWN
```
**关键设计**:
- 每 session 有独立 `asyncio.Lock`,同一 session 内的命令串行执行
- 每 session 维护 `managed_processes: dict[process_id, _ManagedProcess]`支持多个长驻进程并存MCP / 自定义)
- 全局 `_lock` 保护 `_sessions` dict 的读写
- 兼容性检查:比较核心 spec 字段,`image` 字段对不支持自定义镜像的 backendnsjail/E2B会跳过
**Backend 选择 (`_select_backend`)**: 优先级
1. 显式 `box.backend` 配置(`docker` / `nsjail` / `e2b`
2. `local` (默认) → Docker / Podman / nsjail CLI 顺序探测
3. `get_status` 调用时若当前 backend 不可用,会尝试重新选择 (commit `e5617c7`)
### 3.2 Backend 系统
#### CLISandboxBackend (`box/backend.py`, 411 行)
Docker / Podman 公共基类:
```
start_session(spec):
1. validate_sandbox_security(spec)
2. docker/podman run -d --rm --name <name>
--network none (可选)
--cpus/--memory/--pids-limit
--read-only + --tmpfs /tmp
-v <host>:<mount>:<mode> 主挂载
-v <extra.host>:<extra.mount>:.. 额外挂载 (extra_mounts)
<image> sh -lc 'while true; do sleep 3600; done'
3. 返回 BoxSessionInfo
exec(session, spec):
docker/podman exec -e KEY=VAL <container>
sh -lc 'mkdir -p <workdir> && cd <workdir> && <cmd>'
start_managed_process(session, spec):
docker/podman exec -i <container>
sh -lc 'mkdir -p <cwd> && cd <cwd> && exec <command> <args>'
返回 asyncio.subprocess.Process (stdin/stdout PIPE)
```
容器以 idle 进程启动,实际命令通过 `docker exec` 执行。`--rm` 确保容器退出时自动清理。
**Windows 支持**: backend 内对 Windows 路径处理与 subprocess 调用做了适配commit `120817a`)。
**孤儿清理**: 启动时枚举 `langbot.box=true` 标签的容器instance_id 不匹配的强制删除。
#### NsjailBackend (`box/nsjail_backend.py`, 552 行)
轻量级 Linux 沙箱(无容器引擎依赖):
- 使用 namespace 隔离user/mount/pid/ipc/uts/cgroup/net
- 挂载宿主 `/usr`/`/lib`/`/bin`/`/sbin` 只读 + 选定 `/etc` 条目
- 每 session 创建独立目录workspace/tmp/home
- 资源限制: cgroup v2 优先fallback 到 rlimit
- **CLI 兼容**: 通过 `shutil.which(self._nsjail_bin)` 检测系统安装版 nsjail不存在时再尝试容器内 nsjailcommit `686fcc0``feed530`
- **无自定义镜像**: 使用宿主 OS`image` 字段固定为 `'host'`,兼容性检查跳过 image
#### E2BBackend (`box/e2b_backend.py`, 429 行)
云沙箱后端commit `75b547f` 引入):
- 通过 `e2b` SDK 与 E2B 平台通信
- 配置:`box.e2b.api_key` / `api_url` / `template`
- 支持 `extra_mounts`commit `0fea9b1` 同步上传文件)
- 无本地容器引擎依赖,适合无 Docker 的部署或 SaaS 多租户场景
- 不支持自定义 image 字段,由 template 控制
### 3.3 Server (`box/server.py`, 508 行)
单端口 aiohttp 服务(默认 5410通过路径区分commit `8c71ec5` 合并端口):
1. **Action RPC** (`/rpc/ws`): `BoxServerHandler` 处理所有 action包括 `INIT` 配置注入、skill store 操作等
2. **WS Relay** (`/v1/sessions/{id}/managed-process/ws``/v1/sessions/{id}/managed-process/{pid}/ws`): 双向桥接 WebSocket ↔ 指定 managed process stdin/stdout
stdio 模式同样会在 5410 启动 aiohttp专门承担 managed process attachAction RPC 走 stdin/stdout。
### 3.4 Client (`box/client.py`, 377 行)
`ActionRPCBoxClient` 封装 `Handler.call_action()` 调用:
- 25+ 方法对应 25+ 个 RPC actionexec / session / managed-process / skill / status / shutdown
- 错误还原: `_translate_action_error()` 通过字符串前缀匹配还原 SDK 侧异常类型
- `execute()` timeout = 300s其他默认 15s
- `BoxRuntimeClient` 是 ABC供后续可能的非 RPC 实现复用
包级别 `__init__.py` 显式导出:`BoxRuntimeClient``ActionRPCBoxClient`commit `df9c722`)。
### 3.5 Actions (`box/actions.py`, 34 行)
`LangBotToBoxAction` 枚举共定义 **25 个** action
| 类别 | Actions |
|------|---------|
| 控制 | `INIT``HEALTH``STATUS``GET_BACKEND_INFO``SHUTDOWN` |
| 执行 | `EXEC` |
| Session | `CREATE_SESSION` / `GET_SESSION` / `GET_SESSIONS` / `DELETE_SESSION` |
| Managed Process | `START_MANAGED_PROCESS` / `GET_MANAGED_PROCESS` / `STOP_MANAGED_PROCESS` |
| Skill | `LIST_SKILLS` / `GET_SKILL` / `CREATE_SKILL` / `UPDATE_SKILL` / `DELETE_SKILL` / `SCAN_SKILL_DIRECTORY` / `LIST_SKILL_FILES` / `READ_SKILL_FILE` / `WRITE_SKILL_FILE` / `PREVIEW_SKILL_ZIP` / `INSTALL_SKILL_ZIP` |
### 3.6 Models (`box/models.py`, 331 行)
核心数据模型:
| 模型 | 用途 |
|------|------|
| `BoxNetworkMode` | `OFF` / `ON` |
| `BoxExecutionStatus` | `COMPLETED` / `TIMED_OUT` |
| `BoxHostMountMode` | `NONE` / `READ_ONLY` / `READ_WRITE` |
| `BoxManagedProcessStatus` | `RUNNING` / `EXITED` |
| `BoxMountSpec` | 单条挂载host_path/mount_path/mode**新增** |
| `BoxSpec` | 执行请求;新增 `extra_mounts: list[BoxMountSpec]``persistent``workspace_quota_mb` |
| `BoxProfile` | 4 个内置 Profile + `locked` frozenset |
| `BoxSessionInfo` | Session 状态(含 backend_name/created_at/last_used_at |
| `BoxManagedProcessSpec` | 长驻进程参数process_id/command/args/env/cwd |
| `BoxManagedProcessInfo` | 进程状态status/exit_code/stderr_preview/attached |
| `BoxExecutionResult` | 执行结果status/exit_code/stdout/stderr/duration_ms |
`BoxSpec` 校验器: `workdir` 默认继承 `mount_path``host_path` 支持 POSIX 和 Windows 路径;设置 `host_path``workdir` 必须在 `mount_path` 下。
### 3.7 BoxSkillStore (`box/skill_store.py`, 647 行)
新增模块commit `4ab3502`),把 skill 持久化收归 Box runtime
```
BoxSkillStore
├─ list_skills() / get_skill(name)
├─ create_skill(data) / update_skill(name, data) / delete_skill(name)
├─ scan_skill_directory(path) 扫描目录返回候选 skill 包列表
├─ list_skill_files(name, path) 浏览 skill 内文件树
├─ read_skill_file(name, path) / write_skill_file(name, path, content)
├─ preview_skill_zip(zip_bytes, ...) 不落盘预览 zip 内容
└─ install_skill_zip(zip_bytes, ...) 解压、校验、复制到 skills_root
└─ 支持 source_subdir / target_suffixcommit 1aa043f
```
GitHub 安装路径HTTP 层(`api/http/service/skill.py`)先 `git clone` 拉取,再走 `install_skill_zip` 或 directory 路径。Skill 文件存放于 `box.local.skills_root`(默认 `skills`,相对 `host_root`),容器内对应 `/workspace/.skills/`
### 3.8 Security (`box/security.py`, 52 行)
`validate_sandbox_security()`: 黑名单校验 host_path阻止挂载 `/etc`/`/proc`/`/sys`/`/dev`/`/root`/`/boot` 及 Docker/Podman socket。
**已知缺陷**: 根路径 `/` 未拦截,用户 home 目录未拦截,是 denylist 而非 allowlist 策略。详见 [SaaS 阻塞项 S5](./box-issues.md)。
### 3.9 Errors (`box/errors.py`, 33 行)
| 异常类型 | 含义 |
|----------|------|
| `BoxError` | 基类 |
| `BoxValidationError` | spec/参数校验失败 |
| `BoxBackendUnavailableError` | 无可用 backend |
| `BoxRuntimeUnavailableError` | Runtime 服务不可用 |
| `BoxSessionConflictError` | session 已存在但 spec 不兼容 |
| `BoxSessionNotFoundError` | session 不存在 |
| `BoxManagedProcessConflictError` | session 已有同名 process |
| `BoxManagedProcessNotFoundError` | process 不存在 |
---
## 4. 工具系统集成
### 4.1 ToolManager 编排 (`toolmgr.py`)
```
ToolManager.initialize()
├─ NativeToolLoader (exec / read / write / edit / glob / grep)
├─ PluginToolLoader (插件工具)
├─ MCPLoader (MCP Server 工具)
├─ SkillToolLoader (activate 工具 — Tool Call 激活)
└─ SkillAuthoringToolLoader (Skill CRUD)
工具调用优先级: native → plugin → mcp → skill → skill_authoring
```
### 4.2 Native Tools (`native.py`, 846 行)
| 工具 | 是否在 Box 中执行 | 是否访问宿主文件系统 |
|------|:---:|:---:|
| `exec` | 是 | 否 |
| `read` | **否** | **是** — 直接 `open()` 宿主文件 |
| `write` | **否** | **是** — 直接 `open()` 宿主文件 |
| `edit` | **否** | **是** — 直接 `open()` 宿主文件 |
| `glob` | **否** | **是** — 直接遍历宿主目录 |
| `grep` | **否** | **是** — 直接读宿主文件 |
**沙箱边界不对称**: 这是刻意的设计权衡 — `read`/`write`/`edit`/`glob`/`grep` 绕过沙箱以获得性能(避免容器 I/O 开销与跨进程拷贝),但意味着 LLM 可以直接读写 `allowed_mount_roots` 下任何文件。Skill 路径经 `_resolve_host_path()` 重写,禁止穿越 `package_root`
**exec 的 Skill 分支**: 命令中引用 `/workspace/.skills/<name>` 的 skill 时:
1. 验证 skill 已激活
2. 单次 exec 只能引用一个 skill 包
3. 若 skill 是 Python 项目(有 `requirements.txt``pyproject.toml`),命令会被 venv bootstrap 包裹(在 skill 挂载点内创建 `.venv`
4. 调用 `box_service.execute_tool()` → 走默认 session_id 与已组装好的 `extra_mounts`**不再为每 skill 起独立 session**
### 4.3 MCP-in-Box (`mcp_stdio.py`, 354 行)
`BoxStdioSessionRuntime` 让 MCP stdio 服务器在 Box 容器中运行,**共享 session、多 process**模式commit `529088e`
```
initialize()
1. 复用/创建共享 session (session_id = _build_box_session_id())
- persistent=True长期保持
2. workspace.execute_raw(install_cmd) 安装依赖 (可选)
3. 将每个 MCP server 文件 stage 到 /workspace/.mcp/<process_id>/
4. workspace.start_managed_process(process_id=<server>)
5. websocket_client(ws_url) 通过 WS relay 连接
6. ClientSession.initialize() MCP 协议握手
```
配置 (`MCPServerBoxConfig`): `network='on'` (MCP 服务器通常需要网络)`host_path_mode='ro'` (默认只读)`startup_timeout_sec=120` (留时间给 pip install)。
每条 MCP server 是同一 session 中的一个 managed process独立的 `process_id`、独立 attach URL互不阻塞。
---
## 5. 启动与生命周期
### 5.1 启动顺序 (`build_app.py`)
```
BuildAppStage.run(ap)
├─ ... (persistence, models, sessions) ...
├─ BoxService(ap)
├─ box_service.initialize()
│ └─ connector.initialize()
│ ├─ [stdio] fork box subprocess
│ ├─ [subprocess+WS] Windows 本地
│ └─ [remote WS] connect URL
│ └─ 启动心跳 _heartbeat_task
├─ ap.box_service = box_service
├─ ToolManager(ap)
├─ tool_mgr.initialize()
│ ├─ NativeToolLoader (检查 box_service.available)
│ ├─ PluginToolLoader
│ ├─ MCPLoader (Box 可用时stdio MCP 走沙箱)
│ └─ SkillAuthoringToolLoader
├─ ap.tool_mgr = tool_mgr
├─ ... (platform, pipeline) ...
├─ SkillManager.initialize() (从 Box runtime 加载 skill 列表)
└─ ... (RAG, HTTP, plugins) ...
```
BoxService 在 ToolManager **之前**初始化。ToolManager 创建 loader 时检查 `box_service.available`
### 5.2 初始化失败处理
```python
try:
await self._runtime_connector.initialize()
self._available = True
except Exception as e:
self._available = False
logger.warning(f"Box runtime unavailable: {e}")
```
**静默降级**: Box 初始化失败不会阻止应用启动,仅导致 6 个 native tool、所有 Skill 工具和 MCP-in-Box 工具不暴露给 LLM。与 Plugin 的行为不同Plugin 失败会抛异常)。
### 5.3 销毁流程
```
app.dispose()
└─ box_service.dispose()
├─ connector.dispose()
│ ├─ cancel _heartbeat_task
│ ├─ cancel _handler_task / _ctrl_task
│ └─ terminate subprocess (SIGTERM)
└─ loop.create_task(client.shutdown())
└─ RPC SHUTDOWN → Box Runtime 清理所有容器
```
Box 额外做了 RPC SHUTDOWN 通知 Runtime 主动清理容器,比 Plugin 的直接杀进程更安全。
---
## 6. 配置
### config.yaml (重构后)
```yaml
box:
enabled: true # 整个 Box 子系统的总开关。设为 false 时:
# - 不连接远程 Box runtime不 fork 本地 stdio 子进程
# - sandbox 工具 (exec/read/write/edit/glob/grep) 不暴露给 LLM
# - skill 添加/编辑 / GitHub 安装 / 文件写入全部拒绝
# - stdio 模式的 MCP server 启动时报错http/sse 模式不受影响)
# - skill 列表/读取保持只读可用
# BOX__ENABLED 环境变量可覆盖(统一约定)
backend: 'local' # 'local' (探测) / 'docker' / 'nsjail' / 'e2b'
# 由 box.backend / BOX__BACKEND 选择后端
runtime:
endpoint: '' # 外部 Runtime 的 WS 基地址 'ws://host:5410'
# 留空 = 本地自管 Runtime
local:
profile: 'default'
image: '' # 覆盖 profile 默认 image
host_root: './data/box' # 工作区挂载根Docker 部署需绝对路径
default_workspace: '' # 默认 '<host_root>/default'
skills_root: 'skills' # Box 管理的 skill 包目录(相对 host_root
allowed_mount_roots: # 默认 ['<host_root>']
- './data/box'
- '/tmp'
workspace_quota_mb: null # 配额覆盖null = 走 profile
e2b:
api_key: '' # 也可走 E2B_API_KEY 环境变量
api_url: '' # 自托管 E2B 时填写
template: '' # 默认 template ID
```
> **重大变更**: 较 2026-04-16 文档配置结构完全重组commit `eefdea4`)。原字段 `box.profile` / `box.runtime_url` / `box.shared_host_root` / `box.allowed_host_mount_roots` 全部迁入 `box.local.*` 子表,新增 `box.backend` 与 `box.e2b.*` 配置组。
### docker-compose.yaml
`langbot_box` 服务受 compose profile 控制,默认 `docker compose up` **不会**启动它。需要 sandbox 时:
```bash
docker compose --profile box up # 启动 langbot + langbot_box + plugin runtime
docker compose --profile all up # 同上
docker compose up # 只起 langbot + plugin runtime (box 关闭)
```
若不起 `langbot_box`,需要同步在 `data/config.yaml` 中设 `box.enabled: false`(或 langbot 容器 env 加 `BOX__ENABLED=false`),否则 LangBot 会一直尝试连接不存在的 Box runtime 并报错。
```yaml
# langbot_box 的关键 volume
volumes:
- ${LANGBOT_BOX_ROOT}:${LANGBOT_BOX_ROOT} # 工作区挂载(源/目标同路径)
- /var/run/docker.sock:/var/run/docker.sock # Docker backend 复用宿主 docker
```
### 关闭/连接失败时的行为矩阵
`box.enabled = false` 与"启用但连接失败"在用户可观察行为上**完全一致**——都通过 `BoxService.available = False` 表达,只是 `get_status` 多返回 `enabled` 字段供前端区分文案。
| 消费方 | Box 可用 | Box 不可用(disabled 或 failed) |
|---|---|---|
| native exec/read/write/edit/glob/grep 工具 | 暴露给 LLM | **不暴露** |
| `activate` / `register_skill` 工具 | 暴露给 LLM | **不暴露** |
| stdio MCP server | 在 Box 内启动 | **`_init_stdio_python_server` 抛 RuntimeError** 拒绝;不退化到宿主 stdio |
| http/sse MCP server | 正常 | 正常(不依赖 Box) |
| Skill 列表/读取 (`list_skills`/`get_skill`/`read_skill_file`) | 走 Box runtime | 走 LangBot 本地 `data/skills/` 只读 fallback |
| Skill 创建/编辑/安装/写文件 | 走 Box runtime | **HTTP 400** + 明确错误信息(`_require_box_for_write`) |
| Pipeline AI 配置中 `box-session-id-template` | 正常生效 | **前端 banner** 提示字段无效 |
| Pipeline 扩展页 `enable_all_skills` / 绑定 skill | 可编辑 | **前端禁用** + banner |
| 仪表盘 Box 状态卡片 | 绿点 / "已连接" | 灰点 / "已禁用"(disabled) 或 红点 / "已断开"(failed) |
> 后端拒写的边界条件:如果 `ap.box_service` **完全没装**(老式 dev mode,没经过 BuildAppStage),`_require_box_for_write` 视作 no-op,保留 `data/skills/` 本地路径——以兼容历史测试与最小化设置。生产环境总会装 `ap.box_service`,因此该 fallback 不会被触发。
### Pipeline 配置 (templates/metadata/pipeline/ai.yaml)
`local-agent.config.box-session-id-template` 控制 session 作用域,预设:
- `{launcher_type}_{launcher_id}` — 每个会话 (推荐,默认)
- `{launcher_type}_{launcher_id}_{sender_id}` — 群聊每个用户
- `{launcher_type}_{launcher_id}_{conversation_id}` — 每个对话上下文
- `{query_id}` — 每条消息(完全隔离)
详见 [box-session-scope.md](./box-session-scope.md)。
### REST API
| 端点 | 方法 | 说明 | 前端 |
|------|------|------|:---:|
| `/api/v1/box/status` | GET | 可用性、Profile、后端信息 | ✅ 监控页 |
| `/api/v1/box/sessions` | GET | 活跃 session 列表 | ❌ |
| `/api/v1/box/errors` | GET | 最近 50 条错误 | ❌ |
| `/api/v1/skills` 等 | GET/POST/PUT/DELETE | Skill CRUD、文件浏览、zip/GitHub 安装、preview | ✅ Skill 管理页 |
前端 `web/src/app/home/monitoring/components/overview-cards/SystemStatusCards.tsx` 已接入 `/api/v1/box/status`,展示 backend 名称、profile 与活跃 session 数。Sessions 与 errors API 仍未接入。

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@@ -1,76 +0,0 @@
# Box 系统 — SaaS 发布前阻塞项
> 更新日期: 2026-06-02
> 分支: `feat/sandbox` (LangBot + langbot-plugin-sdk)
> 相关文档: [架构分析](./box-architecture.md) | [Session 作用域](./box-session-scope.md) | [Runtime 对比](./box-vs-plugin-runtime.md) | [测试覆盖](./box-test-coverage.md) | [toB 分析](./box-tob-analysis.md)
## 范围说明
**自部署社区版已具备发布条件**:默认 stdio 模式、box 为可选项box 关闭 / 不可用时后端、前端、工具、skill、stdio-MCP 均能干净降级(清晰报错、不崩溃);配置向后兼容(旧 `data/config.yaml` 可直接启动);无新增 ORM 模型、无迁移欠债市场安装失败不会破坏实例。CI 全绿。
本清单**只保留发布 SaaS / 多租户 / 公网暴露前必须处理的阻塞项**。社区版(可信、单运营者、内网)不受这些项阻塞——它们的风险面在"不可信调用方能直接触达 Box 控制面"或"多租户共享资源"的场景才成立。
## 已解决(社区版发布前)
| 项 | 处理 |
|----|------|
| 工具调用循环无上限 (原 #13) | `localagent.py` 增加 `MAX_TOOL_CALL_ROUNDS=128`,超限优雅终止(`cafef1a3` |
| 配额校验同步遍历阻塞事件循环 (原 #10) | `_enforce_workspace_quota` 改 async工作区遍历走 `asyncio.to_thread``cafef1a3` |
| `host_path` 挂载白名单 (原 #3 的 LangBot 侧) | `pkg/box/service.py` `allowed_mount_roots` 白名单,空列表时拒绝一切宿主挂载 |
| 重复的 `_is_path_under` (原 #12) | 已去重,仅保留一处定义 |
| 重连 / 心跳 / Windows 兼容 / nsjail image 字段 / 前端 Box 状态接入 | 见上一轮 review 记录,均已合入 |
---
## SaaS 阻塞项
### S1. Box 控制面无认证 — Critical
- **位置**: SDK `box/server.py` — Action RPC WS (`/rpc/ws`) 与 managed-process relay (`/v1/sessions/{id}/managed-process/{pid}/ws`)
- **现状**: 两个 WS handler 在 `ws.prepare` 后直接服务,无任何 token / 鉴权box 默认绑定 `0.0.0.0:5410`。任何能触达该端口者可发起 `EXEC`、创建 session、attach 任意 session 的 managed-process stdin/stdout、甚至 `SHUTDOWN`。LangBot→box 的 INIT 也未下发任何凭证。
- **缓解现状**: 默认 `docker-compose.yaml``langbot_box` 未把 5410 发布到宿主(爆炸半径限于内网 bridge但 box 挂载了 `/var/run/docker.sock`,同网络的任意服务(含被攻破的插件)→ 宿主 root。若运营者把 5410 发布到宿主或独立以 `0.0.0.0` 起 box则完全裸奔。
- **要求**: INIT 时下发 token两个 WS 路由按连接校验query/header。这是 SaaS 的**头号**阻塞项。
### S2. 无 exec 授权模型policy.py 死代码) — High
- **位置**: LangBot `pkg/box/policy.py``SandboxPolicy` / `ToolPolicy` / `ElevatedPolicy` 全项目无引用);`pkg/provider/tools/loaders/native.py``pkg/provider/tools/toolmgr.py`
- **现状**: 原生工具(`exec/read/write/edit/glob/grep`)按"box 是否可用"全有或全无地暴露,**无 per-pipeline 的 exec 网关 / 工具白名单 / 沙箱模式 / 权限提升控制**。只要 box 可用,任何使用 local-agent + 函数调用模型的 pipeline 都能跑任意 shell。
- **要求**: 接入 policy.py或等价机制按 pipeline 控制是否暴露 `exec`、可用工具白名单、沙箱网络/只读模式。
### S3. 会话资源无界DoS — High
- **#5 session 数量无上限**: SDK `box/runtime.py` `_get_or_create_session``_sessions` dict 无容量限制——可变 `session_id` 的恶意调用可无限创建容器,耗尽宿主 CPU/内存/PID/磁盘。
- **#8 无定时回收**: 过期 session 仅在 `_get_or_create_session` 时机会性清理,无独立周期任务;一波创建后转静默会永久泄漏容器。
- **要求**: `max_sessions` 上限(拒绝或 LRU加独立周期 reaper如 60s
### S4. 工作区配额无内核级限制TOCTOU — Med-High
- **位置**: LangBot `pkg/box/service.py` `_enforce_workspace_quota`(应用层 read-then-checkSDK 侧 `workspace_quota_mb` 仅记录/透传,无 `--storage-opt size=` 等内核/FS 限额
- **现状**: 执行前后两次检查之间存在竞态窗口;单条命令(`dd`/`fallocate`)可在检查间隙撑爆磁盘,事后检查只能补救。
- **要求**: Docker `--storage-opt size=` 做内核级限制,或 Redis 原子计数预留式配额。
### S5. 挂载校验缺口 — Med-High
- **位置**: SDK `box/security.py` `_BLOCKED_HOST_PATHS_POSIX``box/backend.py``extra_mounts` 处理
- **现状**: ① SDK 黑名单仍不含 `/`(前缀匹配,`host_path="/"` 可通过,挂载整个宿主 fs用户 home、`/usr``/opt``/tmp` 也未拦截。② `validate_sandbox_security` 只校验 `spec.host_path`**从不遍历 `spec.extra_mounts`**——LangBot 侧 `allowed_mount_roots` 也只校验 `host_path`。当前 `extra_mounts` 仅由 `build_skill_extra_mounts` 内部填充agent 不可达),但缺乏纵深防御:一旦 S1 的无认证 RPC 被触达extra_mounts 可挂任意宿主路径,两层都不拦。
- **要求**: SDK 黑名单加入 `/`(或改白名单);`extra_mounts` 在 SDK 与 LangBot 两侧都纳入挂载校验。
### S6. 容器加固缺失 — Med
- **位置**: SDK `box/backend.py``docker run` 组装
- **现状**: 未设置 `--cap-drop=ALL``--security-opt=no-new-privileges`、非 root `--user`;叠加挂载 docker.sock逃逸面偏大。
- **要求**: 默认加上上述加固 flag需回归常用 skill 不被破坏)。
### S7. 全局锁内执行慢操作(扩展性) — Med
- **位置**: SDK `box/runtime.py` `_get_or_create_session``self._lock` 持有期间调用 `backend.start_session()``docker run` / nsjail 启动 / E2B `Sandbox.create`
- **影响**: 冷启动镜像拉取数秒、E2B >1s期间串行阻塞所有并发请求——多租户负载下整个 Box runtime 停顿。降级表现是延迟而非失败。
- **要求**: 锁内只做状态检查与注册,容器创建移到锁外。
### S8. 其他硬化 / 跟进 — Low
- **#9** SDK `box/server.py` 直接读 `runtime._sessions` 私有字段、绕过锁,并发下可能读到不一致状态——应加公共访问方法。
- **#16** `pkg/provider/tools/toolmgr.py` `execute_func_call` 按优先级分发plugin/MCP 若有同名 `exec/read/write/...` 工具会被静默遮蔽——应加命名空间或冲突告警。
- **#4** SDK `box/runtime.py` INIT/handshake 与 backend 实例化的残留竞态(仅"纯远程 WS box 先启动、LangBot 后连"场景成立stdio/compose 路径下 config 经 env 在 spawn 时已就位,无竞态)——应在 INIT 完成前拒绝业务 action。
- **#11** `extra_mounts` 在容器创建时固定SDK `runtime.py` 兼容性检查不含 extra_mounts长生命周期共享 session 后续新激活的 skill 不会挂上(当前缓解:创建时挂上 pipeline 绑定的全部 skill——动态绑定场景需销毁重建或文档说明。
- **#21** 集成测试未进 CI容器实际执行、E2B 真机、managed-process WS attach 仅本地可跑。安全关键路径缺自动化覆盖——SaaS 前建议加 Docker-in-Docker CI stage 或合并前手动 checklist。

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# Box Session Scope Design
> Date: 2026-04-18 (last reviewed 2026-06-02)
> Status (2026-06-02): the self-hosted community edition is release-ready (box optional, clean degradation, no migration debt). Tool-call loop cap, async quota scan, and the host_path mount allowlist have landed. Remaining multi-tenant / security hardening is tracked in [box-issues.md](./box-issues.md).
> Branch: `feat/sandbox` (LangBot + langbot-plugin-sdk)
> Related: [Box Architecture](./box-architecture.md) | [Box vs Plugin Runtime](./box-vs-plugin-runtime.md)
---
## 0. Implementation Status (2026-05-19)
This document was authored as a design proposal. The current `feat/sandbox` branch
has shipped the design largely as written:
| Item | Status | Notes |
|------|--------|-------|
| `BoxMountSpec` + `BoxSpec.extra_mounts` | ✅ Shipped | SDK `box/models.py` |
| Docker / nsjail / E2B backends apply extra mounts | ✅ Shipped | Last gap closed by SDK commit `0fea9b1` (E2B) |
| `box-session-id-template` in `local-agent` pipeline config | ✅ Shipped | `templates/metadata/pipeline/ai.yaml`, default `{launcher_type}_{launcher_id}` |
| `BoxService.resolve_box_session_id(query)` | ✅ Shipped | `pkg/box/service.py:166` |
| `BoxService.build_skill_extra_mounts(query)` | ✅ Shipped | `pkg/box/service.py:189` |
| Skill exec uses unified container + extra mounts | ✅ Shipped | `pkg/provider/tools/loaders/native.py` skill branch |
| MCP-in-Box uses shared persistent session, multi-process | ✅ Shipped (earlier than originally scoped) | SDK commit `529088e`, LangBot `mcp_stdio.py:_build_box_session_id` |
| `BoxManagedProcessSpec.process_id` + multi-process per session | ✅ Shipped | `BoxRuntime` keeps `managed_processes: dict[pid, _ManagedProcess]` |
| Per-tenant / quota integration with templates | ❌ Not started | See [box-tob-analysis.md](./box-tob-analysis.md) |
The "Phase 2 deferred" note in §10 is **out of date** — MCP unification went in on
the same line. Pipeline-scoped (not user-scoped) MCP container is the realized
behavior: each pipeline's MCP servers share one `mcp-<pipeline>` session, and
user exec sessions use the template-derived id.
The remaining open work is multi-tenant overlays (tenant_id in session_id,
quota counters keyed by tenant), tracked in the toB analysis doc rather than here.
---
## 1. Problems
### 1.1 Default exec: per-message containers
Currently, `BoxService.execute_tool()` sets `session_id = str(query.query_id)` — an
auto-incrementing integer per incoming message. Every user message creates a new sandbox
container. Dependencies installed and in-container state are lost between messages.
### 1.2 Three isolated container pools
Default exec, skills, and MCP servers each manage their own containers with
independent session IDs:
| Path | Session ID | Container |
|--------------|-----------------------------------------------|-------------|
| Default exec | `str(query_id)` (per message) | Ephemeral |
| Skill exec | `skill-{launcher}_{id}-{skill_name}` | Per skill |
| MCP stdio | `mcp-{server_uuid}` | Per server |
This means a single logical user interaction can spawn 3+ containers that cannot
share state, see each other's files, or reuse installed dependencies.
### 1.3 Single bind mount limitation
`BoxSpec` currently supports only **one** `host_path``mount_path` bind mount.
This prevents mounting both a default workspace and skill directories into the
same container.
---
## 2. Concept Model
```
Platform Message
→ Query (query_id: int, auto-increment, per message)
→ Session (launcher_type + launcher_id, per chat window)
→ Conversation (uuid, per dialogue context within a Session)
```
| Concept | Key | Example | Scope |
|---------------|-------------------------------------|----------------------------|------------------------------|
| Query | `query_id` | `42` | Single message |
| Session | `launcher_type` + `launcher_id` | `group_123456` | Chat window (group or PM) |
| Conversation | `conversation_id` (UUID) | `a1b2c3d4-...` | Dialogue context within a Session |
| Sender | `sender_id` | `789` | Individual user |
Note: in a **group chat**, all users share the same Session (keyed by `group_id`). The
individual sender is tracked as `sender_id` but does not affect Session/Conversation routing.
---
## 3. Target Scenarios
| # | Scenario | Box Granularity | Desired `session_id` |
|----|--------------------------------|------------------------------------------|---------------------------------------------------------|
| 1 | Personal assistant | 1 Box per user, long-lived | `{launcher_type}_{launcher_id}` |
| 2 | Customer service | 1 Box per customer, cross-pipeline | `{launcher_type}_{launcher_id}` |
| 3 | Internal employee tool | 1 Box per employee | `{launcher_type}_{launcher_id}` |
| 4 | Group chat shared assistant | 1 Box per group | `{launcher_type}_{launcher_id}` |
| 5 | Group chat isolated per user | 1 Box per user within a group | `{launcher_type}_{launcher_id}_{sender_id}` |
| 6 | Teaching (cross-channel) | 1 Box per student across groups/PMs | `{sender_id}` |
| 7 | One-off execution | 1 Box per message (current behavior) | `{query_id}` |
| 8 | Multi-project development | 1 Box per conversation context | `{launcher_type}_{launcher_id}_{conversation_id}` |
No single fixed granularity covers all scenarios. A template-based approach is needed.
---
## 4. Design Overview
Two key changes:
1. **Unified container**: exec, skills, and MCP all share the same container per
session scope. No more separate container pools.
2. **Configurable session scope**: `session_id` is generated from a template with
pipeline variables, configurable per pipeline.
### 4.1 Unified Container with Multiple Mounts
A single container per session scope is created on first use. It has:
- **Primary mount**: default workspace at `/workspace` (from `default_host_workspace`)
- **Skill mounts**: each pipeline-bound skill's `package_root` mounted at
`/workspace/.skills/{skill_name}/`
- **MCP servers**: run as managed processes inside the same container
```
Container (session_id = "group_123456")
/workspace/ ← default workspace (bind mount, rw)
/workspace/.skills/web-search/ ← skill package (bind mount, rw)
/workspace/.skills/data-analysis/ ← skill package (bind mount, rw)
[managed process: mcp-server-a] ← MCP server running inside
[managed process: mcp-server-b] ← MCP server running inside
```
This requires extending `BoxSpec` to support multiple mounts (see §5).
### 4.2 Session ID Template
A new field `box-session-id-template` in the `local-agent` pipeline runner config
controls the session scope:
```yaml
# templates/metadata/pipeline/ai.yaml (under local-agent.config)
- name: box-session-id-template
label:
en_US: Sandbox Scope
zh_Hans: 沙箱作用域
description:
en_US: >-
Determines how sandbox environments are shared. Use variables to
control isolation granularity.
zh_Hans: >-
决定沙箱环境的共享方式。使用变量控制隔离粒度。
type: select
required: false
default: "{launcher_type}_{launcher_id}"
options:
- value: "{launcher_type}_{launcher_id}"
label:
en_US: Per chat (Recommended)
zh_Hans: 每个会话(推荐)
- value: "{launcher_type}_{launcher_id}_{sender_id}"
label:
en_US: Per user in chat
zh_Hans: 会话中每个用户
- value: "{launcher_type}_{launcher_id}_{conversation_id}"
label:
en_US: Per conversation context
zh_Hans: 每个对话上下文
- value: "{query_id}"
label:
en_US: Per message (isolated)
zh_Hans: 每条消息(完全隔离)
```
Available template variables (populated by PreProcessor in `query.variables`):
| Variable | Source | Example |
|---------------------|---------------------------------|----------------------|
| `{launcher_type}` | `query.session.launcher_type` | `person` / `group` |
| `{launcher_id}` | `query.session.launcher_id` | `123456` |
| `{sender_id}` | `query.sender_id` | `789` |
| `{conversation_id}` | `conversation.uuid` | `a1b2c3d4-...` |
| `{query_id}` | `query.query_id` | `42` |
Default `{launcher_type}_{launcher_id}` covers scenarios 14 out of the box.
---
## 5. SDK Changes: Multi-Mount BoxSpec
### 5.1 Model Extension
```python
# box/models.py
class BoxMountSpec(pydantic.BaseModel):
"""A single bind mount specification."""
host_path: str
mount_path: str
mode: BoxHostMountMode = BoxHostMountMode.READ_WRITE
class BoxSpec(pydantic.BaseModel):
# ... existing fields ...
host_path: str | None = None # Primary mount (backward compat)
host_path_mode: BoxHostMountMode = BoxHostMountMode.READ_WRITE
mount_path: str = DEFAULT_BOX_MOUNT_PATH
extra_mounts: list[BoxMountSpec] = [] # NEW: additional mounts
```
`extra_mounts` is additive — the existing `host_path` / `mount_path` pair remains
the primary mount for backward compatibility.
### 5.2 Backend: Apply Extra Mounts
```python
# box/backend.py — CLISandboxBackend.start_session()
# Primary mount (unchanged)
if spec.host_path is not None and spec.host_path_mode != BoxHostMountMode.NONE:
args.extend(['-v', f'{spec.host_path}:{spec.mount_path}:{spec.host_path_mode.value}'])
# Extra mounts (NEW)
for mount in spec.extra_mounts:
if mount.mode != BoxHostMountMode.NONE:
args.extend(['-v', f'{mount.host_path}:{mount.mount_path}:{mount.mode.value}'])
```
Same pattern for nsjail backend.
---
## 6. LangBot Changes
### 6.1 Session ID Resolution
In `BoxService.execute_tool()`:
```python
# Before:
spec_payload.setdefault('session_id', str(query.query_id))
# After:
template = (query.pipeline_config or {}).get('ai', {}) \
.get('local-agent', {}).get('box-session-id-template',
'{launcher_type}_{launcher_id}')
variables = query.variables or {}
session_id = template.format_map(collections.defaultdict(
lambda: 'unknown', variables
))
spec_payload.setdefault('session_id', session_id)
```
### 6.2 Skill Exec: Use Same Container
Currently `native.py:_invoke_exec` creates a separate `BoxWorkspaceSession` per
skill with `host_path=package_root`. Instead:
1. Use the **same session_id** as default exec (from the template).
2. Pass the skill's `package_root` as an **extra mount** at
`/workspace/.skills/{skill_name}/` instead of replacing `/workspace`.
3. The container already has the default workspace at `/workspace`.
```python
# native.py — _invoke_exec, skill branch (REVISED)
# Same session_id as default exec
session_id = resolve_box_session_id(query)
spec_payload = {
'cmd': rewritten_command,
'workdir': rewritten_workdir,
'session_id': session_id,
'extra_mounts': [{
'host_path': package_root,
'mount_path': f'/workspace/.skills/{selected_skill_name}',
'mode': 'rw',
}],
}
result = await self.ap.box_service.execute_spec_payload(spec_payload, query)
```
The virtual path `/workspace/.skills/{name}` no longer needs rewriting at the
command level — it maps directly to the bind mount path inside the container.
### 6.3 MCP: Use Same Container
MCP servers should run inside the same container as exec and skills. Changes:
1. `BoxStdioSessionRuntime` uses the pipeline's session_id template instead of
`mcp-{server_uuid}`.
2. MCP server's working directory is a subdirectory (e.g. `/workspace/.mcp/{name}/`).
3. MCP server's dependencies are mounted or installed into that subdirectory.
4. The MCP server runs as a managed process inside the shared container.
Since MCP servers start at LangBot boot (not per-query), the session must be
created eagerly. The container will be kept alive by the managed process
exemption in TTL reaping (`runtime.py:259`).
**Note**: MCP sessions are pipeline-scoped (not per-launcher), so their session_id
should be a **fixed identifier per pipeline** rather than the user-facing template.
This means one shared MCP container per pipeline, with user exec sessions separate.
Alternatively, in a future iteration, MCP managed processes could be launched
lazily into the user's container on first MCP tool call. This is more complex
but maximizes sharing. For V1, keeping MCP containers at pipeline scope is
simpler and more predictable.
---
## 7. Mount Layout Summary
### Default exec (no skills activated)
```
Container (session_id from template)
/workspace/ ← default_host_workspace (rw)
```
### Exec with activated skills
```
Container (same session_id)
/workspace/ ← default_host_workspace (rw)
/workspace/.skills/web-search/ ← skill package_root (rw)
/workspace/.skills/data-analysis/ ← skill package_root (rw)
```
Extra mounts are **additive** — they are added when the container is first
created (or on the first exec that references a skill). Since Docker bind
mounts are specified at container creation time, skills must be known at
creation time.
**Resolution**: When creating a container, inject `extra_mounts` for **all
pipeline-bound skills** (from `extensions_preferences`), not just the
currently activated one. This way any skill can be activated later without
recreating the container.
### MCP servers (V1: pipeline-scoped)
```
Container (session_id = "mcp-pipeline-{pipeline_uuid}")
/workspace/ ← MCP shared workspace
/workspace/.mcp/server-a/ ← MCP server A files
/workspace/.mcp/server-b/ ← MCP server B files
[managed process: server-a]
[managed process: server-b]
```
---
## 8. Data Migration
Existing pipelines do not have `box-session-id-template`. The backend uses
`.get(..., default)` so missing keys fall back to `{launcher_type}_{launcher_id}`.
This changes behavior from per-message to per-launcher for existing pipelines.
Recommendation: **accept the behavior change** — per-launcher is the more
intuitive default, and the old per-message behavior was rarely desired.
---
## 9. Cloud Quota Implications
| Scope | Typical concurrent containers |
|-----------------------------------------------|-------------------------------|
| `{query_id}` (per message) | Many, short-lived |
| `{launcher_type}_{launcher_id}` (per chat) | = active chat count |
| `{sender_id}` (per user) | = active user count |
| `{conversation_id}` (per conversation) | Between per-chat and per-msg |
With the unified container model, each scope value maps to exactly **one**
container (instead of potentially 3+ per-message). This significantly reduces
resource usage.
Quota enforcement point: `BoxRuntime._get_or_create_session()` in the SDK.
---
## 10. Implementation Phases
### Phase 1: Session scope + skill unification (this PR)
1. **SDK**: Extend `BoxSpec` with `extra_mounts: list[BoxMountSpec]`.
2. **SDK**: Update Docker/nsjail backends to apply extra mounts.
3. **LangBot**: Add `box-session-id-template` to `local-agent` YAML metadata
and default pipeline config JSON.
4. **LangBot**: Update `BoxService.execute_tool()` to use template interpolation.
5. **LangBot**: Update `native.py:_invoke_exec` skill branch to use same
session_id + extra mounts instead of separate `BoxWorkspaceSession`.
6. **LangBot**: On container creation, inject extra mounts for all
pipeline-bound skills.
7. **Frontend**: No code change — `DynamicFormComponent` renders `select` fields.
8. **Tests**: Unit tests for template interpolation and multi-mount specs.
### Phase 2: MCP unification (future)
1. Refactor `BoxStdioSessionRuntime` to use pipeline-scoped shared container.
2. MCP servers become managed processes in the shared container.
3. Support multiple concurrent managed processes per container.
MCP unification is deferred because it requires changes to the managed process
model (currently 1 managed process per session) and has startup ordering
concerns (MCP servers start at boot, before any user query determines
a session_id).

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@@ -1,122 +0,0 @@
# Box 系统测试覆盖分析
> 更新日期: 2026-06-02
> 状态更新: 自部署社区版已具备发布条件box 可选、降级完善、无迁移欠债);工具调用循环上限、配额遍历异步化、`host_path` 挂载白名单等已落地。剩余多租户 / 安全硬化项见 [SaaS 阻塞项清单](./box-issues.md)。
> 分支: `feat/sandbox` (LangBot + langbot-plugin-sdk)
---
## 1. 测试文件清单
### LangBot 仓库
| 文件 | 行数 | CI 运行 | 覆盖范围 |
|------|------|---------|---------|
| `tests/unit_tests/box/test_box_connector.py` | 106 | 是 | Connector 传输决策、WS relay URL、dispose、心跳/重连 |
| `tests/unit_tests/box/test_box_service.py` | 1224 | 是 | Service 核心逻辑(最全面) |
| `tests/unit_tests/box/test_workspace.py` | 147 | 是 | WorkspaceSession 路径重写、payload 构建 |
| `tests/unit_tests/provider/test_mcp_box_integration.py` | 707 | 是 | MCP Box 配置、路径重写、payload、shared-session/multi-process、runtime info |
| `tests/unit_tests/provider/test_localagent_sandbox_exec.py` | 444 | 是 | LocalAgent exec 流程、流式、Skill 激活 (Tool Call) |
| `tests/unit_tests/provider/test_tool_manager_native.py` | 249 | 是 | ToolManager 路由、native tool CRUD、路径穿越、6 工具暴露 |
| `tests/unit_tests/provider/test_skill_tools.py` | 582 | 是 | Skill 管理、Tool Call 激活、路径、authoring CRUD |
| `tests/unit_tests/test_skill_service.py` | 396 | 是 | HTTP serviceskill CRUD、zip/GitHub install、文件浏览 |
| `tests/unit_tests/test_paths.py` | 23 | 是 | paths 工具 |
| `tests/unit_tests/test_preproc.py` | 134 | 是 | PreProcessor 注入 session 变量、bound skill 解析 |
| `tests/unit_tests/pipeline/test_chat_handler_logging.py` | 78 | 是 | Chat handler 日志相关回归 |
| `tests/integration_tests/box/test_box_integration.py` | 329 | **否** | 真实容器执行、超时、网络隔离 |
| `tests/integration_tests/box/test_box_mcp_integration.py` | 368 | **否** | Managed process、WS attach、shared-session 清理 |
### SDK 仓库
| 文件 | 行数 | CI 运行 | 覆盖范围 |
|------|------|---------|---------|
| `tests/box/test_backend_selection.py` | 255 | 是 | 显式 backend / local 模式探测顺序 / 配置变更触发 reselect |
| `tests/box/test_nsjail_backend.py` | 452 | 是 | nsjail 可用性、安装版 CLI vs 容器内 CLI、session、arg 构建、资源限制 |
| `tests/box/test_e2b_backend.py` | 482 | 是 | E2B SDK mock、session 生命周期、extra_mounts 同步 |
| `tests/box/test_skill_store.py` | 88 | 是 | zip preview/install、基础 file CRUD |
**总计**: 17 个测试文件, ~6,500 行测试代码; 其中 2 个集成测试(约 700 行)在 CI 中不运行。
> 较 2026-04-16 版增加:`test_skill_service.py`、`test_paths.py`、`test_preproc.py`、`test_chat_handler_logging.py` (LangBot)`test_backend_selection.py`、`test_e2b_backend.py`、`test_skill_store.py` (SDK)。`test_nsjail_backend.py` 增加 CLI 兼容性 case (commit `feed530`)。
---
## 2. 覆盖良好的区域
| 区域 | 质量 | 说明 |
|------|------|------|
| BoxRuntime session 管理 | 优秀 | session 复用、冲突检测、TTL 配置、消失 session 重建 |
| BoxService Profile 系统 | 优秀 | 4 个内置 Profile、locked/unlocked 字段、timeout clamp |
| BoxService host mount 安全 | 优秀 | allowed_mount_roots、disallowed_roots、shared host root |
| BoxService workspace quota | 优秀 | 前置/后置配额检查、超额清理 |
| BoxService 输出截断 | 优秀 | 短/精确边界/长输出、独立 stderr |
| BoxService 可观测性 | 优秀 | 状态报告、error ring buffer、buffer 上限 |
| BoxService session 模板 | 良好 | `resolve_box_session_id` + `build_skill_extra_mounts` 在 service / native / mcp 三处都有覆盖 |
| RPC client/server 协议 | 优秀 | execute/get_sessions/delete/create/conflict error |
| BoxRuntimeConnector | 良好 | local/remote 模式、Docker 平台、relay URL、心跳与重连回调 |
| BoxWorkspaceSession | 良好 | payload 构建、managed process 路径重写、stage host file |
| BoxHostMountMode.NONE | 良好 | 枚举校验、workdir 约束 |
| NsjailBackend | 良好 | 可用性、安装版 vs 容器内、session 生命周期、arg 构建、资源限制 |
| E2BBackend | 良好 | mock SDK、session/extra_mounts 同步 |
| Backend selection | 良好 | 显式 backend 优先级、local 探测顺序、配置变更触发 reselect |
| MCP Box 集成 | 良好 | config model、路径重写、payload、shared-session 多 process |
| Native tool loader | 良好 | 6 工具exec/read/write/edit/glob/grep、路径穿越拦截 |
| LocalAgent exec 流程 | 良好 | 完整 tool call 循环、流式、system prompt 注入、Tool Call 激活 |
| Skill 系统 | 良好 | 加载、Tool Call 激活、marker、路径解析、authoring CRUD、HTTP service |
---
## 3. 覆盖缺失的区域
### 3.1 零测试 / 严重不足
| 区域 | 源文件 | 影响 |
|------|--------|------|
| **`security.py`** | SDK `box/security.py` (52 行) | `validate_sandbox_security()` 无任何测试。阻止 `/etc`/`/proc`/Docker socket 等危险挂载的安全函数从未被验证 |
| **`policy.py`** | `pkg/box/policy.py` (98 行) | 三层安全策略无测试(也是死代码) |
| **`skill_store.py` 边缘场景** | SDK `box/skill_store.py` (647 行) vs 测试 88 行 | GitHub 安装路径、`source_subdir` / `target_suffix` 组合、损坏 zip、文件冲突等场景未覆盖 |
### 3.2 未测试的关键路径
| 区域 | 说明 |
|------|------|
| **Session TTL 过期** | 测试配置了 `session_ttl_sec` 但从未推进时间验证过期清理 |
| **并发 session 访问** | 无并发 exec / 并发创建 / race condition 测试 |
| **Container backend (Docker)** | 仅通过集成测试覆盖CI 不运行),单元测试全用 FakeBackend |
| **E2B 真实 sandbox** | 单测全是 mock未对接真实 E2B API |
| **BoxRuntime shutdown()** | 在 test cleanup 中调用但未验证行为 |
| **BoxServerHandler 错误路径** | 畸形请求、未知 action 类型 |
| **WS relay** | 仅在集成测试中覆盖CI 不运行) |
| **NsjailBackend managed process** | 完全未测试 |
| **MCP stdio 完整生命周期** | 依赖安装 → 进程启动 → 健康检查 → 多 process 并发 → 重试 |
| **BoxService start/stop_managed_process** | 单 process 流转有单测,多 process 互不阻塞主要靠集成测试 |
| **重连指数退避** | connector 单测覆盖回调接线,未实际跑完整重连周期 |
### 3.3 边缘情况缺失
| 区域 | 说明 |
|------|------|
| BoxSpec 校验 | 无效 session_id 格式、超长命令、env 特殊字符 |
| BoxSpec.extra_mounts | 重复 mount_path、与 host_path 冲突、绝对 vs 相对路径 |
| BoxExecutionResult | 仅 COMPLETED 和 TIMED_OUT无 ERROR 状态测试 |
| 多后端 fallback | local 模式探测顺序仅靠 mock无真实 Docker 不可用 → nsjail 真机 fallback 测试 |
| Profile YAML 加载 | 测试用硬编码字符串,未从真实 config.yaml 加载 |
| INIT 配置变更触发 backend 重建 | 单测仅在初始化场景验证 |
---
## 4. 集成测试 vs CI 的差距
CI 仅运行 `tests/unit_tests/`,以下场景**从未在自动化中验证**:
- 真实容器的创建/执行/销毁
- 容器网络隔离(`--network none`
- 容器资源限制生效cpus/memory/pids_limit
- Managed process 的 WS 双向 I/O
- 多 process 同 session 并发 I/O
- 孤儿容器清理
- Session 删除清理容器
- 进程退出检测
- E2B 真实 sandbox 行为
**建议**: 在 CI 中加一个可选的 Docker-in-Docker 集成测试 stage至少覆盖核心执行路径exec / MCP attach / session 销毁)。

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@@ -1,167 +0,0 @@
# Box 系统 toB 商业化分析
> 更新日期: 2026-06-02
> 状态更新: 自部署社区版已具备发布条件box 可选、降级完善、无迁移欠债);工具调用循环上限、配额遍历异步化、`host_path` 挂载白名单等已落地。剩余多租户 / 安全硬化项见 [SaaS 阻塞项清单](./box-issues.md)。
> 分支: `feat/sandbox` (LangBot + langbot-plugin-sdk)
---
## 1. 现有优势
| 能力 | toB 价值 | 代码位置 |
|------|---------|---------|
| **沙箱隔离执行** | 企业安全运行不受信代码的基础能力 | SDK `box/backend.py` |
| **多后端支持** | 适配不同企业容器基础设施 (Podman/Docker/nsjail/E2B) | SDK `box/runtime.py` `_select_backend()` |
| **E2B 云沙箱** | SaaS / 无 Docker 部署的兜底执行环境 | SDK `box/e2b_backend.py` |
| **连接自愈** | 心跳 + 自动重连,单点 Box runtime 故障可恢复 | `pkg/box/connector.py` `_heartbeat_loop`, `pkg/box/service.py` `_reconnect_loop` |
| **Profile + locked 字段** | 运维锁定安全边界LLM/用户无法绕过 | `pkg/box/service.py`, SDK `box/models.py` |
| **资源限制** | CPU/内存/PID 数限制防止资源滥用 | SDK `backend.py` `--cpus/--memory/--pids-limit` |
| **Workspace quota** | 磁盘用量控制 | `pkg/box/service.py` `_enforce_workspace_quota` |
| **静默降级** | Box 不可用不影响其他功能,降低部署门槛 | `pkg/box/service.py:78` `_available=False` |
| **孤儿容器清理** | 防止泄漏的容器持续占用资源 | SDK `backend.py` `cleanup_orphaned_containers` |
| **网络隔离** | `--network none` 防止数据外泄 | SDK `backend.py` start_session |
| **只读根文件系统** | `--read-only` 防止容器被持久篡改 | SDK `backend.py` start_session |
| **Host path 白名单** | `allowed_host_mount_roots` 限制可挂载目录 | `pkg/box/service.py` `_validate_host_mount` |
---
## 2. toB 差距分析
### 2.1 安全与合规
| 维度 | 现状 | toB 要求 | 优先级 |
|------|------|---------|--------|
| **WS relay 认证** | 无认证,任何人可 attach | 至少 token 认证 | **P0** |
| **安全策略** | policy.py 是死代码,实际无细粒度控制 | 工具级 allow/deny、沙箱模式控制 | **P0** |
| **审计日志** | 仅内存中 50 条 `_recent_errors` | 持久化审计:谁何时执行了什么、结果如何 | **P0** |
| **Host path 校验** | 黑名单策略,`/` 未拦截 | 白名单策略,默认拒绝 | **P1** |
| **数据驻留** | 无控制 | GDPR / 等保要求的数据隔离 | **P2** |
### 2.2 多租户
| 维度 | 现状 | toB 要求 | 优先级 |
|------|------|---------|--------|
| **租户隔离** | 无租户概念 | BoxSpec/Profile 绑定 tenant_id | **P0** |
| **RBAC** | 仅 token 认证 | admin/operator/viewer 角色权限 | **P0** |
| **资源配额** | 单一 workspace quota | 每租户 CPU 时间/内存/并发/执行次数配额 | **P1** |
| **Session 隔离** | 所有 session 共享 dict | 按租户分区,互不可见 | **P1** |
### 2.3 可靠性
| 维度 | 现状 | toB 要求 | 优先级 |
|------|------|---------|--------|
| **连接恢复** | 已实现20s 心跳 + `_reconnect_loop` 指数退避 | 已满足基本要求 | 已有 |
| **Session 清理** | 机会性(仅新建时触发) | 定时清理 + 独立 reaper | **P1** |
| **水平扩展** | 单 Box Runtime 实例 | 多实例负载均衡(按 tenant 路由) | **P1** |
| **优雅降级** | 已有_available=False | 已满足基本要求 | 已有 |
| **Backend 自愈** | 已实现:`get_status` 时若 backend 不可用会重新选择 | 已满足基本要求 | 已有 |
### 2.4 可观测性
| 维度 | 现状 | toB 要求 | 优先级 |
|------|------|---------|--------|
| **监控指标** | 无 Prometheus metrics | session 数/执行延迟/资源用量/错误率 | **P1** |
| **结构化日志** | Python logging, 无结构化 | JSON 格式日志,含 trace_id/tenant_id | **P1** |
| **前端面板** | 监控页接入 `/api/v1/box/status`backend 名 + 活跃 session 数);`sessions` / `errors` 仍未接入 | 完整状态面板 + 历史错误/审计列表 | **P2** |
---
## 3. SaaS 部署架构建议
### 3.1 方案 A: 共享 Box Runtime Pool (快速上线)
```
LangBot Instance ──> Box Runtime (共享)
├─ tenant_id 标签隔离
├─ Redis 配额计数器
└─ Container labels: langbot.tenant_id=xxx
```
- **优点**: 改动最小,加 tenant_id 到 BoxSpec/labels 即可
- **缺点**: 容器引擎共享,安全隔离弱
### 3.2 方案 B: 每租户 K8s Namespace + gVisor (推荐中期)
```
LangBot ──> K8s API
├─ namespace: tenant-xxx
│ ├─ RuntimeClass: gVisor (runsc)
│ ├─ ResourceQuota
│ └─ NetworkPolicy
└─ namespace: tenant-yyy
└─ ...
```
- **优点**: 强隔离namespace + gVisor原生 K8s 配额
- **缺点**: 需要重写 backend 为 K8s Job部署复杂度高
### 3.3 方案 C: K8s Job 直接编排 (长期)
```
LangBot ──> K8s Job per execution
├─ 每次执行创建 Job
├─ Pod Security Standards
├─ 自动调度和资源分配
└─ Job TTL Controller 自动清理
```
- **优点**: 最强隔离,天然水平扩展
- **缺点**: 冷启动延迟,架构重写
**推荐演进路径**: A → B → C
---
## 4. 配额体系建议
### 三层配额
| 层 | 实现 | 作用 |
|----|------|------|
| **内核层** | Docker `--cpus`/`--memory`/`--storage-opt` | 硬性资源上限,不可绕过 |
| **应用层** | Redis 原子计数器 | 并发 session 数/执行次数/CPU 时间预算 |
| **计费层** | 月度聚合 | 按租户计费session-hours/execution-count |
### Profile 与套餐映射
| 套餐 | Profile | locked 字段 | 配额 |
|------|---------|------------|------|
| Free | `offline_readonly` | network, host_path_mode, rootfs | 10 exec/天, 0.5 CPU, 256MB |
| Pro | `default` | (无) | 100 exec/天, 1 CPU, 512MB |
| Enterprise | `network_extended` | (按需) | 无限, 2 CPU, 1GB, 自定义镜像 |
### TOCTOU 配额修复
当前 `_enforce_workspace_quota` 的 TOCTOU 问题可通过两种方式解决:
1. **预留式配额** (应用层): Redis `INCRBY` 预扣额度 → 执行 → 成功则扣减,失败则回滚
2. **内核级限制** (Docker): `--storage-opt size=500m` 直接限制容器可写层大小
---
## 5. 优先实施路线
### Phase 1 (2-4 周): 安全基线
- [ ] WS relay 加 token 认证
- [ ] 接入或删除 policy.py
- [x] ~~Box 加重连和心跳~~(已完成,见 [box-issues.md 已解决](./box-issues.md)
- [ ] 审计日志持久化(至少写文件/数据库)
- [ ] `security.py``/` 拦截,考虑白名单
- [ ] INIT 与 backend 初始化顺序整理(避免 backend 在配置到达前实例化)
### Phase 2 (4-8 周): 多租户基础
- [ ] BoxSpec 加 `tenant_id` 字段
- [ ] 容器 labels 加 tenant 标识
- [ ] Redis 配额计数器(并发/执行次数/时间)
- [ ] RBAC 基础框架
- [ ] 定时 session reaper
### Phase 3 (8-16 周): 生产就绪
- [ ] Prometheus metrics exporter
- [ ] 前端 Box 状态面板
- [ ] K8s backend 支持 (方案 B)
- [ ] 结构化日志 (JSON, trace_id)
- [ ] 水平扩展支持

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@@ -1,222 +0,0 @@
# Box Runtime vs Plugin Runtime: 连接架构对比
> 更新日期: 2026-06-02
> 状态更新: 自部署社区版已具备发布条件box 可选、降级完善、无迁移欠债);工具调用循环上限、配额遍历异步化、`host_path` 挂载白名单等已落地。剩余多租户 / 安全硬化项见 [SaaS 阻塞项清单](./box-issues.md)。
> 分支: `feat/sandbox` (LangBot + langbot-plugin-sdk)
---
## 1. 总体差异
| 维度 | Plugin Runtime | Box Runtime |
|------|---------------|-------------|
| **继承关系** | `PluginRuntimeConnector(ManagedRuntimeConnector)` | `BoxRuntimeConnector`(独立类) |
| **传输分支** | 3 条 (Docker/WS, Win32/subprocess+WS, Unix/stdio) | 3 条 (本地 stdio, Win32/subprocess+WS, 远程 WS) |
| **心跳** | 20s ping loop | 20s ping loop`_heartbeat_loop` |
| **重连** | WS 模式: sleep 3s → re-initialize | 由 BoxService `_reconnect_loop` 处理,指数退避 |
| **Handler 类型** | `RuntimeConnectionHandler` (1132 行, 25+ action) | 基础 `Handler` + `BoxServerHandler`SDK 端 25 action |
| **Client 抽象** | Handler 即 API | 独立 `ActionRPCBoxClient` 封装 Handler |
| **启用/禁用** | `is_enable_plugin` 开关 | 无开关(可用/不可用由初始化结果决定) |
| **初始化失败** | 异常上抛 | 静默降级 `_available=False` |
| **Shutdown** | 直接杀进程 | RPC SHUTDOWN → 清理容器 → 再杀进程 |
---
## 2. 传输决策
### Plugin: 3-路决策
```python
# pkg/plugin/connector.py:106-165
if get_platform() == 'docker' or use_websocket_to_connect_plugin_runtime():
# Docker/WS → ws://langbot_plugin_runtime:5400/control/ws
elif get_platform() == 'win32':
# Windows → 起子进程(无 pipe) + ws://localhost:5400/control/ws
else:
# Unix/Mac → StdioClientController(python -m langbot_plugin.cli rt -s)
```
### Box: 3-路决策
```python
# pkg/box/connector.py
if self._uses_websocket():
if platform.get_platform() == 'win32' and not self.configured_runtime_url:
await self._start_subprocess_then_ws() # subprocess + ws://localhost:5410/rpc/ws
else:
await self._connect_remote_ws() # ws://{host}:5410/rpc/ws
else:
await self._start_local_stdio() # StdioClientController
```
> 历史2026-04-16 版本本文档曾把 Box 描述为 2 路决策(缺 Windows 分支)。现已对齐 Plugin 的 3 路设计。
### 决策矩阵
| 环境 | Plugin | Box |
|------|--------|-----|
| Docker | WS → `:5400` | WS → `:5410/rpc/ws` |
| `--standalone-box` | N/A | WS → `localhost:5410/rpc/ws` |
| Windows 非 Docker | subprocess + WS (`:5400`) | subprocess + WS (`localhost:5410/rpc/ws`) |
| Unix/Mac 非 Docker | stdio | stdio |
| 手动配置 URL | 通过配置项 | WS → 用户配置的 URL |
---
## 3. 连接建立
### 同步模式差异
**Plugin**: `new_connection_callback` 内直接 ping + await handler_task`initialize()` 通过 `create_task()` 异步启动,不阻塞等待连接。
**Box**: 使用 `asyncio.Event` + `wait_for(timeout=30s)` 模式,`initialize()` 同步等待连接成功或超时。
### Box stdio 路径
```
connector._start_local_stdio()
├─ connected = asyncio.Event()
├─ ctrl = StdioClientController(python, ['-m', 'langbot_plugin.cli.__init__', 'box', '-s', '--ws-control-port', N])
├─ _ctrl_task = create_task(ctrl.run(callback))
│ callback:
│ handler = Handler(connection) ← 基础 Handler, 无 disconnect_callback
│ client.set_handler(handler)
│ _handler_task = create_task(handler.run())
│ call_action(PING, {}) ← 握手, timeout=15s
│ connected.set() ← 通知外层
│ await _handler_task ← 阻塞直到断开
└─ await wait_for(connected.wait(), 30s) ← 同步等待
```
### Plugin stdio 路径
```
connector.initialize()
├─ ctrl = StdioClientController(python, ['-m', 'langbot_plugin.cli', 'rt', '-s'])
├─ task = ctrl.run(callback)
│ callback:
│ disconnect_callback:
│ [WS] → runtime_disconnect_callback → 重连
│ [stdio] → 仅日志, 不重连
│ handler = RuntimeConnectionHandler(conn, disconnect_cb, ap)
│ create_task(handler.run())
│ handler.ping() ← 握手, timeout=10s
│ await handler_task ← 阻塞直到断开
├─ create_task(heartbeat_loop()) ← 20s ping loop
└─ create_task(task) ← 不等待连接
```
---
## 4. 心跳与重连
### 心跳
| 维度 | Plugin | Box |
|------|--------|-----|
| 有心跳? | 是 | 是(`connector.py` `_heartbeat_loop` |
| 间隔 | 20s | 20s |
| 失败处理 | 仅 DEBUG 日志,不触发重连 | 仅 DEBUG 日志,依赖 connection close 触发重连 |
| 生命周期 | 整个应用生命周期 | 连接建立后启动;`dispose()` 时 cancel |
### 重连
| 维度 | Plugin | Box |
|------|--------|-----|
| Docker/WS 断开 | `runtime_disconnect_callback` → sleep 3s → re-initialize | `runtime_disconnect_callback``BoxService._reconnect_loop()`(指数退避) |
| WS 连接失败 | 同上 | 同上;初次失败时 `_available=False`,重连成功后恢复 |
| stdio 断开 | 仅日志,不重连 | 接同样回调stdio 重连需重新 fork 子进程 |
| 重连退避 | 固定 3s无 backoff | 指数退避 |
> 历史2026-04-16 版本本文档曾把心跳与重连标记为 Box 缺失。这两项已在 commit `2dfd9d5d` / `c6882cf` / `5029d9c` 等修复(详见 [box-issues.md 已解决](./box-issues.md))。
---
## 5. 共享 IO 层
两者复用同一套 SDK IO 基础设施:
```
Handler ← ABC (runtime/io/handler.py)
├── RuntimeConnectionHandler (Plugin 用, LangBot 侧)
├── ControlConnectionHandler (Plugin 用, SDK 侧)
├── BoxServerHandler (Box 用, SDK 侧)
└── 匿名 Handler 实例 (Box 用, LangBot 侧)
Connection ← ABC
├── StdioConnection (stdio: 16KB chunks, 应用层分帧协议)
└── WebSocketConnection (WS: 64KB chunks, 原生 WS 分帧)
Controller ← ABC
├── StdioClientController (fork 子进程, pipe stdin/stdout)
├── StdioServerController (接管当前进程 stdin/stdout)
├── WebSocketClientController (连接 WS 服务端)
└── WebSocketServerController (监听 WS 端口)
```
共享的核心机制:
- `call_action()` / `call_action_generator()` — RPC 调用/流式调用
- `ActionRequest` / `ActionResponse` — 请求/响应协议
- `seq_id` 关联 — 并发请求复用单连接
- `CommonAction.PING` — 两者都用于初始握手
- 文件传输 (`send_file`) — Plugin 用Box 不用
---
## 6. 端口方案
| 服务 | Plugin | Box |
|------|--------|-----|
| Action RPC (stdio) | stdin/stdout | stdin/stdout |
| Action RPC (WS) | `:5400` | `:5410/rpc/ws` |
| 辅助服务 | debug WS `:5401` | managed process WS relay `:5410/v1/sessions/{id}/managed-process/ws` |
**Box 特点**: 单端口 aiohttp 服务(默认 5410通过路径区分 Action RPC 和 managed process relay。即使在 stdio 模式,也在 `:5410` 启动 aiohttp 用于 managed process attach。Plugin 在 stdio 模式不开额外端口。
---
## 7. 销毁对比
### Plugin
```python
dispose():
if stdio: ctrl.process.terminate()
_dispose_subprocess() # Windows 子进程
heartbeat_task.cancel()
```
### Box
```python
connector.dispose():
_handler_task.cancel()
_ctrl_task.cancel()
_subprocess.terminate()
service.dispose():
connector.dispose()
loop.create_task(client.shutdown()) # RPC SHUTDOWN → 清理所有容器
```
Box 的 RPC SHUTDOWN 确保容器被正确停止不会成为孤儿。Plugin 直接杀进程。
---
## 8. 改进建议
### P0
1. **两者都加 WS 认证**: 至少 token 认证INIT 时下发,连接时校验)
### P1
2. **考虑 Box 继承 ManagedRuntimeConnector**: 复用 `_start_runtime_subprocess` / `_wait_until_ready` / `_dispose_subprocess`,减少重复代码
3. **Plugin 重连加退避**: 固定 3s 无 backoff 可能造成日志洪水,建议向 Box 的指数退避看齐
4. **统一连接管理模式**: Event-based (Box) vs direct-await (Plugin),考虑收敛为一种
### 已完成(自上一轮)
- ~~Box 加重连~~commit `2dfd9d5d`
- ~~Box 加心跳~~20s loop 与 Plugin 一致)
- ~~Box 加 Windows 支持~~commit `120817a` / `fafb7a4`

View File

@@ -1,6 +1,6 @@
[project]
name = "langbot"
version = "4.10.0-beta.1"
version = "4.9.7"
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==0.4.0b1",
"langbot-plugin==0.3.11",
"asyncpg>=0.30.0",
"line-bot-sdk>=3.19.0",
"matrix-nio>=0.25.2",
@@ -223,3 +223,4 @@ skip-magic-trailing-comma = false
# Like Black, automatically detect the appropriate line ending.
line-ending = "auto"

View File

@@ -1,3 +1,3 @@
"""LangBot - Production-grade platform for building agentic IM bots"""
__version__ = '4.10.0-beta.1'
__version__ = '4.9.7'

View File

@@ -5,8 +5,6 @@ import argparse
import sys
import os
from langbot.pkg.utils import paths
# ASCII art banner
asciiart = r"""
_ ___ _
@@ -29,12 +27,6 @@ async def main_entry(loop: asyncio.AbstractEventLoop):
help='Use standalone plugin runtime / 使用独立插件运行时',
default=False,
)
parser.add_argument(
'--standalone-box',
action='store_true',
help='Use standalone box runtime / 使用独立 Box 运行时',
default=False,
)
parser.add_argument('--debug', action='store_true', help='Debug mode / 调试模式', default=False)
args = parser.parse_args()
@@ -43,11 +35,6 @@ async def main_entry(loop: asyncio.AbstractEventLoop):
platform.standalone_runtime = True
if args.standalone_box:
from langbot.pkg.utils import platform
platform.standalone_box = True
if args.debug:
from langbot.pkg.utils import constants
@@ -100,7 +87,7 @@ def main():
# Set up the working directory
# When installed as a package, we need to handle the working directory differently
# We'll create data directory in current working directory if not exists
os.makedirs(paths.get_data_root(), exist_ok=True)
os.makedirs('data', exist_ok=True)
loop = asyncio.new_event_loop()

View File

@@ -1,22 +0,0 @@
from __future__ import annotations
from .. import group
@group.group_class('box', '/api/v1/box')
class BoxRouterGroup(group.RouterGroup):
async def initialize(self) -> None:
@self.route('/status', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
async def _() -> str:
status = await self.ap.box_service.get_status()
return self.success(data=status)
@self.route('/sessions', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
async def _() -> str:
sessions = await self.ap.box_service.get_sessions()
return self.success(data=sessions)
@self.route('/errors', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
async def _() -> str:
errors = self.ap.box_service.get_recent_errors()
return self.success(data=errors)

View File

@@ -1,52 +0,0 @@
from __future__ import annotations
import asyncio
import quart
from .. import group
@group.group_class('extensions', '/api/v1/extensions')
class ExtensionsRouterGroup(group.RouterGroup):
"""Unified API for installed extensions (plugins, MCP servers, skills)."""
async def initialize(self) -> None:
@self.route('', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _() -> quart.Response:
plugins, mcp_servers, skills = await asyncio.gather(
self.ap.plugin_connector.list_plugins(),
self.ap.mcp_service.get_mcp_servers(contain_runtime_info=True),
self.ap.skill_service.list_skills(),
return_exceptions=True,
)
def _sort_key(item: dict) -> str:
if item['type'] == 'plugin':
return (
item['plugin']
.get('manifest', {})
.get('manifest', {})
.get('metadata', {})
.get('name', '')
.lower()
)
if item['type'] == 'mcp':
return (item['server'].get('name') or '').lower()
if item['type'] == 'skill':
return (item['skill'].get('display_name') or item['skill'].get('name') or '').lower()
return ''
extensions: list[dict] = []
if isinstance(plugins, list):
for plugin in plugins:
extensions.append({'type': 'plugin', 'plugin': plugin})
if isinstance(mcp_servers, list):
for server in mcp_servers:
extensions.append({'type': 'mcp', 'server': server})
if isinstance(skills, list):
for skill in skills:
extensions.append({'type': 'skill', 'skill': skill})
extensions.sort(key=_sort_key)
return self.success(data={'extensions': extensions})

View File

@@ -73,21 +73,15 @@ class PipelinesRouterGroup(group.RouterGroup):
plugins = await self.ap.plugin_connector.list_plugins(component_kinds=pipeline_component_kinds)
mcp_servers = await self.ap.mcp_service.get_mcp_servers(contain_runtime_info=True)
# Get available skills
available_skills = await self.ap.skill_service.list_skills()
extensions_prefs = pipeline.get('extensions_preferences', {})
return self.success(
data={
'enable_all_plugins': extensions_prefs.get('enable_all_plugins', True),
'enable_all_mcp_servers': extensions_prefs.get('enable_all_mcp_servers', True),
'enable_all_skills': extensions_prefs.get('enable_all_skills', True),
'bound_plugins': extensions_prefs.get('plugins', []),
'available_plugins': plugins,
'bound_mcp_servers': extensions_prefs.get('mcp_servers', []),
'available_mcp_servers': mcp_servers,
'bound_skills': extensions_prefs.get('skills', []),
'available_skills': available_skills,
}
)
elif quart.request.method == 'PUT':
@@ -95,19 +89,11 @@ class PipelinesRouterGroup(group.RouterGroup):
json_data = await quart.request.json
enable_all_plugins = json_data.get('enable_all_plugins', True)
enable_all_mcp_servers = json_data.get('enable_all_mcp_servers', True)
enable_all_skills = json_data.get('enable_all_skills', True)
bound_plugins = json_data.get('bound_plugins', [])
bound_mcp_servers = json_data.get('bound_mcp_servers', [])
bound_skills = json_data.get('bound_skills', [])
await self.ap.pipeline_service.update_pipeline_extensions(
pipeline_uuid,
bound_plugins,
bound_mcp_servers,
enable_all_plugins,
enable_all_mcp_servers,
bound_skills=bound_skills,
enable_all_skills=enable_all_skills,
pipeline_uuid, bound_plugins, bound_mcp_servers, enable_all_plugins, enable_all_mcp_servers
)
return self.success()

View File

@@ -43,12 +43,8 @@ class WebSocketChatRouterGroup(group.RouterGroup):
await quart.websocket.send(json.dumps({'type': 'error', 'message': 'WebSocket adapter not found'}))
return
# Dashboard pipeline-debug sessions must always run under the
# built-in websocket_proxy_bot identity. We deliberately do NOT
# resolve a web_page_bot owner here — even if one is bound to
# the same pipeline, debug requests must not be attributed to
# it. The embed widget path (`/api/v1/embed/<bot>/ws/connect`)
# is the one that carries the page-bot identity.
# Find the owning bot for this pipeline (e.g. a web_page_bot)
owner_bot = self._find_owner_bot(pipeline_uuid)
# 注册连接
connection = await ws_connection_manager.add_connection(
@@ -77,7 +73,7 @@ class WebSocketChatRouterGroup(group.RouterGroup):
)
# 创建接收和发送任务
receive_task = asyncio.create_task(self._handle_receive(connection, websocket_adapter))
receive_task = asyncio.create_task(self._handle_receive(connection, websocket_adapter, owner_bot))
send_task = asyncio.create_task(self._handle_send(connection))
# 等待任务完成
@@ -185,7 +181,14 @@ class WebSocketChatRouterGroup(group.RouterGroup):
except Exception as e:
return self.http_status(500, -1, f'Internal server error: {str(e)}')
async def _handle_receive(self, connection, websocket_adapter):
def _find_owner_bot(self, pipeline_uuid: str):
"""Find a user-created bot (e.g. web_page_bot) that owns this pipeline."""
for bot in self.ap.platform_mgr.bots:
if bot.bot_entity.adapter == 'web_page_bot' and bot.bot_entity.use_pipeline_uuid == pipeline_uuid:
return bot
return None
async def _handle_receive(self, connection, websocket_adapter, owner_bot=None):
"""处理接收消息的任务"""
try:
while connection.is_active:
@@ -210,10 +213,7 @@ class WebSocketChatRouterGroup(group.RouterGroup):
logger.debug(f'收到消息: {data} from {connection.connection_id}')
# 处理消息不等待响应响应会通过broadcast异步发送
# owner_bot is intentionally NOT passed: the dashboard
# debug WebSocket must always run under the proxy bot,
# never under a coincidentally-bound web_page_bot.
await websocket_adapter.handle_websocket_message(connection, data)
await websocket_adapter.handle_websocket_message(connection, data, owner_bot=owner_bot)
elif message_type == 'disconnect':
# 客户端主动断开

View File

@@ -179,8 +179,6 @@ class AdaptersRouterGroup(group.RouterGroup):
"""Start WeChat QR code login. Returns session_id + QR code data URL."""
import uuid
import time
import io
import base64
from langbot.libs.openclaw_weixin_api.client import OpenClawWeixinClient, DEFAULT_BASE_URL
@@ -208,60 +206,32 @@ class AdaptersRouterGroup(group.RouterGroup):
async def run_login():
try:
import qrcode as qr_lib
for _attempt in range(3):
qr_resp = await client.fetch_qrcode()
if not qr_resp.qrcode or not qr_resp.qrcode_img_content:
raise Exception('Failed to get QR code from server')
# Generate QR code image locally
qr = qr_lib.QRCode(error_correction=qr_lib.constants.ERROR_CORRECT_L)
qr.add_data(qr_resp.qrcode_img_content)
qr.make(fit=True)
img = qr.make_image(fill_color='black', back_color='white')
buf = io.BytesIO()
img.save(buf, format='PNG')
b64 = base64.b64encode(buf.getvalue()).decode('utf-8')
data_url = f'data:image/png;base64,{b64}'
def _update_qr():
session['qr_data_url'] = data_url
session['expire_at'] = time.time() + 480 # 8 minutes
def on_qrcode(qr_data_url: str, _qr_url: str):
def _update():
session['qr_data_url'] = qr_data_url
session['expire_at'] = time.time() + 180
session['status'] = 'waiting'
loop.call_soon_threadsafe(_update_qr)
# Poll for scan status
deadline = loop.time() + 180
while loop.time() < deadline:
try:
status_resp = await client.poll_qrcode_status(qr_resp.qrcode)
except Exception:
await asyncio.sleep(2)
continue
if status_resp.status == 'confirmed' and status_resp.bot_token:
session['status'] = 'success'
session['token'] = status_resp.bot_token
session['base_url'] = status_resp.baseurl or client.base_url
session['account_id'] = status_resp.ilink_bot_id or ''
return
if status_resp.status == 'expired':
break # retry with new QR code
await asyncio.sleep(1)
else:
pass # timeout, retry
# All retries exhausted
session['status'] = 'error'
session['error'] = 'QR code login failed: max retries exceeded'
loop.call_soon_threadsafe(_update)
result = await client.login(
max_retries=1,
poll_timeout_ms=180_000,
on_qrcode=on_qrcode,
)
session['status'] = 'success'
session['token'] = result.token
session['base_url'] = result.base_url
session['account_id'] = result.account_id
except Exception as e:
session['status'] = 'error'
session['error'] = str(e)
error_message = str(e)
if 'expired' in error_message.lower() or 'max retries exceeded' in error_message.lower():
session['status'] = 'expired'
session['error'] = 'QR code expired'
else:
session['status'] = 'error'
session['error'] = error_message
finally:
await client.close()
@@ -295,7 +265,11 @@ class AdaptersRouterGroup(group.RouterGroup):
if not session:
return self.http_status(404, -1, 'Session not found')
data = {'status': session['status']}
data = {
'status': session['status'],
'qr_data_url': session['qr_data_url'],
'expire_at': session['expire_at'],
}
if session['status'] == 'success':
data['token'] = session['token']
@@ -305,6 +279,9 @@ class AdaptersRouterGroup(group.RouterGroup):
elif session['status'] == 'error':
data['error'] = session['error']
_weixin_login_sessions.pop(session_id, None)
elif session['status'] == 'expired':
data['error'] = session['error']
_weixin_login_sessions.pop(session_id, None)
return self.success(data=data)

View File

@@ -1,15 +1,11 @@
from __future__ import annotations
import base64
import io
import quart
import re
import httpx
import uuid
import os
import zipfile
import yaml
from urllib.parse import urlparse
import posixpath
import sqlalchemy
@@ -57,97 +53,6 @@ def _get_request_origin() -> str:
@group.group_class('plugins', '/api/v1/plugins')
class PluginsRouterGroup(group.RouterGroup):
@staticmethod
def _normalize_archive_path(path: str) -> str:
normalized = str(path or '').replace('\\', '/').strip('/')
return posixpath.normpath(normalized) if normalized else ''
@classmethod
def _component_source_path(cls, entry) -> str:
if isinstance(entry, dict):
return cls._normalize_archive_path(entry.get('path') or '')
return cls._normalize_archive_path(str(entry or ''))
@classmethod
def _count_component_configs(cls, component_config, archive_names: list[str]) -> int:
normalized_names = [cls._normalize_archive_path(name) for name in archive_names]
component_files: set[str] = set()
if isinstance(component_config, list):
return len(component_config)
if not isinstance(component_config, dict):
return 1 if component_config else 0
for entry in component_config.get('fromFiles') or []:
source_path = cls._component_source_path(entry)
if source_path and source_path in normalized_names:
component_files.add(source_path)
for entry in component_config.get('fromDirs') or []:
source_dir = cls._component_source_path(entry).rstrip('/')
if not source_dir:
continue
prefix = f'{source_dir}/'
for archive_name in normalized_names:
if not archive_name.startswith(prefix):
continue
if archive_name.lower().endswith(('.yaml', '.yml')):
component_files.add(archive_name)
if component_files:
return len(component_files)
return 1 if any(key in component_config for key in ('path', 'name', 'kind')) else 0
@classmethod
def _count_plugin_components(cls, components, archive_names: list[str]) -> dict[str, int]:
if not isinstance(components, dict):
return {}
component_counts: dict[str, int] = {}
for kind, component_config in components.items():
count = cls._count_component_configs(component_config, archive_names)
if count > 0:
component_counts[str(kind)] = count
return component_counts
@staticmethod
def _parse_github_repo_url(repo_url: str) -> dict | None:
raw_url = str(repo_url or '').strip()
if not raw_url:
return None
if not re.match(r'^[a-zA-Z][a-zA-Z0-9+.-]*://', raw_url):
raw_url = f'https://{raw_url}'
parsed = urlparse(raw_url)
if parsed.netloc.lower() not in ('github.com', 'www.github.com'):
return None
parts = [part for part in parsed.path.strip('/').split('/') if part]
if len(parts) < 2:
return None
owner = parts[0]
repo = parts[1]
if repo.endswith('.git'):
repo = repo[:-4]
if not owner or not repo:
return None
ref = ''
subdir = ''
if len(parts) >= 4 and parts[2] in ('tree', 'blob'):
ref = parts[3]
subdir = '/'.join(parts[4:]).strip('/')
return {
'owner': owner,
'repo': repo,
'ref': ref,
'subdir': subdir,
}
async def _check_extensions_limit(self) -> str | None:
"""Check if extensions limit is reached. Returns error response if limit exceeded, None otherwise."""
limitation = self.ap.instance_config.data.get('system', {}).get('limitation', {})
@@ -349,37 +254,17 @@ class PluginsRouterGroup(group.RouterGroup):
data = await quart.request.json
repo_url = data.get('repo_url', '')
parsed_repo = self._parse_github_repo_url(repo_url)
if not parsed_repo:
# Parse GitHub repository URL to extract owner and repo
# Supports: https://github.com/owner/repo or github.com/owner/repo
pattern = r'github\.com/([^/]+)/([^/]+?)(?:\.git)?(?:/.*)?$'
match = re.search(pattern, repo_url)
if not match:
return self.http_status(400, -1, 'Invalid GitHub repository URL')
owner = parsed_repo['owner']
repo = parsed_repo['repo']
requested_ref = parsed_repo['ref']
requested_subdir = parsed_repo['subdir']
owner, repo = match.groups()
try:
if requested_ref:
return self.success(
data={
'releases': [
{
'id': 0,
'tag_name': requested_ref,
'name': requested_ref,
'published_at': '',
'prerelease': False,
'draft': False,
'source_type': 'branch',
'archive_url': f'https://api.github.com/repos/{owner}/{repo}/zipball/{requested_ref}',
}
],
'owner': owner,
'repo': repo,
'source_subdir': requested_subdir,
}
)
# Fetch releases from GitHub API
url = f'https://api.github.com/repos/{owner}/{repo}/releases'
async with httpx.AsyncClient(
@@ -405,14 +290,7 @@ class PluginsRouterGroup(group.RouterGroup):
}
)
return self.success(
data={
'releases': formatted_releases,
'owner': owner,
'repo': repo,
'source_subdir': requested_subdir,
}
)
return self.success(data={'releases': formatted_releases, 'owner': owner, 'repo': repo})
except httpx.RequestError as e:
return self.http_status(500, -1, f'Failed to fetch releases: {str(e)}')
@@ -567,62 +445,6 @@ class PluginsRouterGroup(group.RouterGroup):
return self.success(data={'task_id': wrapper.id})
@self.route('/install/local/preview', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _() -> str:
file = (await quart.request.files).get('file')
if file is None:
return self.http_status(400, -1, 'file is required')
file_bytes = file.read()
try:
with zipfile.ZipFile(io.BytesIO(file_bytes)) as zf:
names = [name for name in zf.namelist() if not name.endswith('/')]
manifest_name = next(
(
name
for name in names
if name.replace('\\', '/').strip('/').lower() in ('manifest.yaml', 'manifest.yml')
),
None,
)
if manifest_name is None:
return self.http_status(400, -1, 'manifest.yaml is required')
manifest = yaml.safe_load(zf.read(manifest_name).decode('utf-8')) or {}
requirements: list[str] = []
requirements_name = next(
(name for name in names if name.replace('\\', '/').strip('/').lower() == 'requirements.txt'),
None,
)
if requirements_name is not None:
requirements = [
line.strip()
for line in zf.read(requirements_name).decode('utf-8', errors='ignore').splitlines()
if line.strip() and not line.strip().startswith('#')
]
spec = manifest.get('spec') or {}
components = spec.get('components') or {}
component_counts = self._count_plugin_components(components, names)
component_types = list(component_counts.keys())
return self.success(
data={
'filename': file.filename or 'local plugin',
'size': len(file_bytes),
'manifest': manifest,
'metadata': manifest.get('metadata') or {},
'component_types': component_types,
'component_counts': component_counts,
'requirements': requirements,
'file_count': len(names),
}
)
except zipfile.BadZipFile:
return self.http_status(400, -1, 'invalid .lbpkg file')
except Exception as exc:
return self.http_status(500, -1, f'Failed to preview plugin package: {exc}')
@self.route('/config-files', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
async def _() -> str:
"""Upload a file for plugin configuration"""

View File

@@ -31,9 +31,6 @@ class MCPRouterGroup(group.RouterGroup):
@self.route('/servers/<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)
if server_data is None:
@@ -60,9 +57,6 @@ class MCPRouterGroup(group.RouterGroup):
@self.route('/servers/<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})

View File

@@ -1,190 +0,0 @@
from __future__ import annotations
import quart
from langbot_plugin.box.errors import BoxError
from .. import group
@group.group_class('skills', '/api/v1/skills')
class SkillsRouterGroup(group.RouterGroup):
"""Skills management API endpoints."""
async def initialize(self) -> None:
@self.route('', methods=['GET', 'POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def list_or_create_skills() -> quart.Response:
if quart.request.method == 'GET':
try:
skills = await self.ap.skill_service.list_skills()
except (ValueError, BoxError) as exc:
return self.http_status(400, -1, str(exc))
return self.success(data={'skills': skills})
data = await quart.request.json
if 'name' not in data or not data['name']:
return self.http_status(400, -1, 'Missing required field: name')
try:
skill = await self.ap.skill_service.create_skill(data)
return self.success(data={'skill': skill})
except (ValueError, BoxError) as exc:
return self.http_status(400, -1, str(exc))
@self.route('/<skill_name>', methods=['GET', 'PUT', 'DELETE'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def get_update_delete_skill(skill_name: str) -> quart.Response:
if quart.request.method == 'GET':
try:
skill = await self.ap.skill_service.get_skill(skill_name)
except (ValueError, BoxError) as exc:
return self.http_status(400, -1, str(exc))
if not skill:
return self.http_status(404, -1, 'Skill not found')
return self.success(data={'skill': skill})
if quart.request.method == 'PUT':
data = await quart.request.json
try:
skill = await self.ap.skill_service.update_skill(skill_name, data)
return self.success(data={'skill': skill})
except (ValueError, BoxError) as exc:
return self.http_status(400, -1, str(exc))
try:
await self.ap.skill_service.delete_skill(skill_name)
return self.success()
except (ValueError, BoxError) as exc:
return self.http_status(400, -1, str(exc))
@self.route('/<skill_name>/files', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def list_skill_files(skill_name: str) -> quart.Response:
"""List files in skill package directory."""
path = quart.request.args.get('path', '.').strip()
include_hidden = quart.request.args.get('include_hidden', 'false').lower() == 'true'
try:
result = await self.ap.skill_service.list_skill_files(
skill_name,
path=path,
include_hidden=include_hidden,
)
return self.success(data=result)
except (ValueError, BoxError) as exc:
return self.http_status(400, -1, str(exc))
@self.route(
'/<skill_name>/files/<path:path>', methods=['GET', 'PUT'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY
)
async def read_or_write_skill_file(skill_name: str, path: str) -> quart.Response:
"""Read or write a file in skill package."""
if quart.request.method == 'GET':
try:
result = await self.ap.skill_service.read_skill_file(skill_name, path)
return self.success(data=result)
except (ValueError, BoxError) as exc:
return self.http_status(400, -1, str(exc))
# PUT - write file
data = await quart.request.json
content = data.get('content', '')
if content is None:
return self.http_status(400, -1, 'Missing required field: content')
try:
result = await self.ap.skill_service.write_skill_file(skill_name, path, content)
return self.success(data=result)
except (ValueError, BoxError) as exc:
return self.http_status(400, -1, str(exc))
@self.route('/<skill_name>/preview', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def preview_skill(skill_name: str) -> quart.Response:
skill = self.ap.skill_mgr.get_skill_by_name(skill_name)
if not skill:
return self.http_status(404, -1, 'Skill not found')
return self.success(data={'instructions': skill.get('instructions', '')})
@self.route('/install/github', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def install_skill_from_github() -> quart.Response:
data = await quart.request.json
required_fields = ['asset_url', 'owner', 'repo']
for field in required_fields:
if field not in data or not data[field]:
return self.http_status(400, -1, f'Missing required field: {field}')
asset_url = str(data['asset_url']).strip().lower().split('?', 1)[0].split('#', 1)[0]
if not asset_url.endswith('skill.md') and not data.get('release_tag'):
return self.http_status(400, -1, 'Missing required field: release_tag')
try:
skill = await self.ap.skill_service.install_from_github(data)
return self.success(data={'skills': skill})
except (ValueError, BoxError) as exc:
return self.http_status(400, -1, str(exc))
except Exception as exc:
return self.http_status(500, -1, f'Failed to install skill: {exc}')
@self.route('/install/github/preview', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def preview_skill_from_github() -> quart.Response:
data = await quart.request.json
required_fields = ['asset_url', 'owner', 'repo']
for field in required_fields:
if field not in data or not data[field]:
return self.http_status(400, -1, f'Missing required field: {field}')
asset_url = str(data['asset_url']).strip().lower().split('?', 1)[0].split('#', 1)[0]
if not asset_url.endswith('skill.md') and not data.get('release_tag'):
return self.http_status(400, -1, 'Missing required field: release_tag')
try:
preview = await self.ap.skill_service.preview_install_from_github(data)
return self.success(data={'skills': preview})
except (ValueError, BoxError) as exc:
return self.http_status(400, -1, str(exc))
except Exception as exc:
return self.http_status(500, -1, f'Failed to preview skill: {exc}')
@self.route('/install/upload', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def install_skill_from_upload() -> quart.Response:
file = (await quart.request.files).get('file')
if file is None:
return self.http_status(400, -1, 'file is required')
form = await quart.request.form
try:
skill = await self.ap.skill_service.install_from_zip_upload(
file_bytes=file.read(),
filename=file.filename or '',
source_paths=form.getlist('source_paths'),
)
return self.success(data={'skills': skill})
except (ValueError, BoxError) as exc:
return self.http_status(400, -1, str(exc))
except Exception as exc:
return self.http_status(500, -1, f'Failed to install skill: {exc}')
@self.route('/install/upload/preview', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def preview_skill_from_upload() -> quart.Response:
file = (await quart.request.files).get('file')
if file is None:
return self.http_status(400, -1, 'file is required')
try:
preview = await self.ap.skill_service.preview_install_from_zip_upload(
file_bytes=file.read(),
filename=file.filename or '',
)
return self.success(data={'skills': preview})
except (ValueError, BoxError) as exc:
return self.http_status(400, -1, str(exc))
except Exception as exc:
return self.http_status(500, -1, f'Failed to preview skill: {exc}')
@self.route('/scan', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def scan_skill_directory() -> quart.Response:
path = quart.request.args.get('path', '').strip()
if not path:
return self.http_status(400, -1, 'Missing required parameter: path')
try:
result = await self.ap.skill_service.scan_directory_async(path)
return self.success(data=result)
except (ValueError, BoxError) as exc:
return self.http_status(400, -1, str(exc))

View File

@@ -215,8 +215,6 @@ class PipelineService:
bound_mcp_servers: list[str] = None,
enable_all_plugins: bool = True,
enable_all_mcp_servers: bool = True,
bound_skills: list[str] = None,
enable_all_skills: bool = True,
) -> None:
"""Update the bound plugins and MCP servers for a pipeline"""
# Get current pipeline
@@ -234,12 +232,9 @@ class PipelineService:
extensions_preferences = pipeline.extensions_preferences or {}
extensions_preferences['enable_all_plugins'] = enable_all_plugins
extensions_preferences['enable_all_mcp_servers'] = enable_all_mcp_servers
extensions_preferences['enable_all_skills'] = enable_all_skills
extensions_preferences['plugins'] = bound_plugins
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
await self.ap.persistence_mgr.execute_async(
sqlalchemy.update(persistence_pipeline.LegacyPipeline)

View File

@@ -1,428 +0,0 @@
from __future__ import annotations
import io
import inspect
import os
import posixpath
import zipfile
from typing import Optional
from urllib.parse import quote, unquote, urlparse
import httpx
from ....core import app
from ....skill.utils import parse_frontmatter
_PUBLIC_SKILL_FIELDS = (
'name',
'display_name',
'description',
'instructions',
'package_root',
'created_at',
'updated_at',
)
_GITHUB_ASSET_HOSTS = {
'github.com',
'api.github.com',
'objects.githubusercontent.com',
'githubusercontent.com',
'raw.githubusercontent.com',
'codeload.github.com',
}
class SkillService:
"""Filesystem-backed skill management service."""
ap: app.Application
def __init__(self, ap: app.Application) -> None:
self.ap = ap
def _box_service(self):
box_service = getattr(self.ap, 'box_service', None)
if box_service is not None and getattr(box_service, 'available', False):
return box_service
return None
def _require_box(self, action: str):
"""Return the Box service or raise if it is not available.
Box is the only source of truth for skills. Every read and write
operation goes through it — there is no local-filesystem fallback.
"""
box_service = self._box_service()
if box_service is not None:
return box_service
ap_box = getattr(self.ap, 'box_service', None)
if ap_box is None:
reason = 'not initialised'
elif not getattr(ap_box, 'enabled', True):
reason = 'disabled in config (box.enabled = false)'
else:
connector_error = getattr(ap_box, '_connector_error', '') or 'currently unavailable'
reason = f'unavailable: {connector_error}'
raise ValueError(
f'{action} requires the Box runtime, which is {reason}. '
f'Enable Box in config.yaml (box.enabled = true) and ensure the '
f'runtime is reachable before retrying.'
)
def _require_box_for_write(self, action: str) -> None:
"""Backwards-compatible alias preserved for clarity at call sites."""
self._require_box(action)
@staticmethod
def _serialize_skill(skill: dict) -> dict:
return {field: skill.get(field) for field in _PUBLIC_SKILL_FIELDS if field in skill}
async def list_skills(self) -> list[dict]:
# When Box is unavailable, surface an empty list rather than raising —
# the skills page should render cleanly, and the UI separately renders
# a "Box disabled / unavailable" banner via useBoxStatus.
box_service = self._box_service()
if box_service is None:
return []
return [self._serialize_skill(skill) for skill in await box_service.list_skills()]
async def get_skill(self, skill_name: str) -> Optional[dict]:
box_service = self._box_service()
if box_service is None:
return None
skill = await box_service.get_skill(skill_name)
return self._serialize_skill(skill) if skill else None
async def get_skill_by_name(self, name: str) -> Optional[dict]:
return await self.get_skill(name)
async def create_skill(self, data: dict) -> dict:
box_service = self._require_box('Creating a skill')
created = await box_service.create_skill(data)
await self._reload_skills()
return self._serialize_skill(created)
async def update_skill(self, skill_name: str, data: dict) -> dict:
box_service = self._require_box('Editing a skill')
updated = await box_service.update_skill(skill_name, data)
await self._reload_skills()
return self._serialize_skill(updated)
async def delete_skill(self, skill_name: str) -> bool:
box_service = self._require_box('Deleting a skill')
await box_service.delete_skill(skill_name)
await self._reload_skills()
return True
async def list_skill_files(
self,
skill_name: str,
path: str = '.',
include_hidden: bool = False,
max_entries: int = 200,
) -> dict:
box_service = self._require_box('Browsing skill files')
return await box_service.list_skill_files(skill_name, path, include_hidden, max_entries)
async def read_skill_file(self, skill_name: str, path: str) -> dict:
box_service = self._require_box('Reading a skill file')
return await box_service.read_skill_file(skill_name, path)
async def write_skill_file(self, skill_name: str, path: str, content: str) -> dict:
box_service = self._require_box('Editing skill files')
result = await box_service.write_skill_file(skill_name, path, content)
await self._reload_skills()
return result
async def install_from_github(self, data: dict) -> list[dict]:
box_service = self._require_box('Installing a skill from GitHub')
owner = str(data['owner']).strip()
repo = str(data['repo']).strip()
release_tag = str(data.get('release_tag', '')).strip()
raw_asset_url = str(data['asset_url']).strip()
if self._is_github_skill_md_url(raw_asset_url):
return await self._install_github_skill_md(raw_asset_url, owner=owner, repo=repo, data=data)
asset_url = self._validate_github_asset_url(raw_asset_url, owner=owner, repo=repo, release_tag=release_tag)
source_subdir = str(data.get('source_subdir', '') or '').strip()
zip_bytes = await self._download_github_asset(asset_url)
filename = f'{repo}-{release_tag.lstrip("v").replace("/", "-") or "source"}.zip'
installed = await box_service.install_skill_zip(
zip_bytes,
filename,
source_paths=data.get('source_paths') or [],
source_path=str(data.get('source_path', '') or ''),
source_subdir=source_subdir,
)
await self._reload_skills()
return [self._serialize_skill(skill) for skill in installed]
async def preview_install_from_github(self, data: dict) -> list[dict]:
box_service = self._require_box('Previewing a skill from GitHub')
owner = str(data['owner']).strip()
repo = str(data['repo']).strip()
release_tag = str(data.get('release_tag', '')).strip()
raw_asset_url = str(data['asset_url']).strip()
if self._is_github_skill_md_url(raw_asset_url):
return await self._preview_github_skill_md(raw_asset_url, owner=owner, repo=repo)
asset_url = self._validate_github_asset_url(raw_asset_url, owner=owner, repo=repo, release_tag=release_tag)
source_subdir = str(data.get('source_subdir', '') or '').strip()
zip_bytes = await self._download_github_asset(asset_url)
return await box_service.preview_skill_zip(
zip_bytes,
f'{repo}-{release_tag.lstrip("v").replace("/", "-") or "source"}.zip',
source_subdir=source_subdir,
)
async def install_from_zip_upload(
self,
*,
file_bytes: bytes,
filename: str,
source_paths: list[str] | None = None,
source_path: str = '',
) -> list[dict]:
box_service = self._require_box('Installing a skill from upload')
installed = await box_service.install_skill_zip(
file_bytes,
filename,
source_paths=source_paths or [],
source_path=source_path,
)
await self._reload_skills()
return [self._serialize_skill(skill) for skill in installed]
async def preview_install_from_zip_upload(self, *, file_bytes: bytes, filename: str) -> list[dict]:
box_service = self._require_box('Previewing a skill upload')
return await box_service.preview_skill_zip(file_bytes, filename)
async def _install_github_skill_md(self, asset_url: str, *, owner: str, repo: str, data: dict) -> list[dict]:
box_service = self._require_box('Installing a skill from GitHub')
zip_bytes, filename, _package_name = await self._download_github_skill_directory_as_zip(
asset_url,
owner=owner,
repo=repo,
)
installed = await box_service.install_skill_zip(
zip_bytes,
filename,
source_paths=data.get('source_paths') or [],
source_path=str(data.get('source_path', '') or ''),
target_suffix='',
)
await self._reload_skills()
return [self._serialize_skill(skill) for skill in installed]
async def _preview_github_skill_md(self, asset_url: str, *, owner: str, repo: str) -> list[dict]:
box_service = self._require_box('Previewing a skill from GitHub')
zip_bytes, _filename, package_name = await self._download_github_skill_directory_as_zip(
asset_url,
owner=owner,
repo=repo,
)
return await box_service.preview_skill_zip(zip_bytes, f'{package_name}.zip', target_suffix='')
async def reload_skills(self) -> list[dict]:
await self._reload_skills()
return await self.list_skills()
async def scan_directory_async(self, path: str) -> dict:
box_service = self._require_box('Scanning a skill directory')
return await box_service.scan_skill_directory(path)
async def _reload_skills(self) -> None:
skill_mgr = getattr(self.ap, 'skill_mgr', None)
reload_skills = getattr(skill_mgr, 'reload_skills', None)
if not callable(reload_skills):
return
result = reload_skills()
if inspect.isawaitable(result):
await result
async def _download_github_asset(self, asset_url: str) -> bytes:
async with httpx.AsyncClient(follow_redirects=True, timeout=120) as client:
resp = await client.get(asset_url)
resp.raise_for_status()
return resp.content
async def _download_github_skill_directory_as_zip(
self, asset_url: str, *, owner: str, repo: str
) -> tuple[bytes, str, str]:
info = self._parse_github_skill_md_url(asset_url, owner=owner, repo=repo)
archive_url = f'https://codeload.github.com/{owner}/{repo}/zip/{quote(info["ref"], safe="/")}'
archive_bytes = await self._download_github_asset(archive_url)
try:
source_archive = zipfile.ZipFile(io.BytesIO(archive_bytes), 'r')
except zipfile.BadZipFile as exc:
raise ValueError('GitHub repository archive must be a valid .zip archive') from exc
with source_archive as source_zip:
skill_entry = self._find_github_skill_archive_entry(source_zip, info['file_path'])
try:
skill_md_content = source_zip.read(skill_entry).decode('utf-8')
except UnicodeDecodeError as exc:
raise ValueError('GitHub SKILL.md must be valid UTF-8 text') from exc
package_name = self._resolve_github_skill_md_package_name(skill_md_content, info['package_name'])
source_skill_dir = posixpath.dirname(posixpath.normpath(skill_entry.filename))
buffer = io.BytesIO()
with zipfile.ZipFile(buffer, 'w', zipfile.ZIP_DEFLATED) as target_zip:
self._copy_github_skill_directory_to_zip(source_zip, target_zip, source_skill_dir, package_name)
return buffer.getvalue(), f'{package_name}.zip', package_name
def _find_github_skill_archive_entry(self, archive: zipfile.ZipFile, file_path: str) -> zipfile.ZipInfo:
normalized_file_path = posixpath.normpath(file_path).lower()
for member in archive.infolist():
if member.is_dir():
continue
normalized_member = posixpath.normpath(member.filename)
path_parts = normalized_member.split('/', 1)
if len(path_parts) != 2:
continue
archive_relative_path = path_parts[1].lower()
if archive_relative_path == normalized_file_path:
return member
raise ValueError(f'GitHub archive does not contain requested SKILL.md: {file_path}')
def _copy_github_skill_directory_to_zip(
self,
source_zip: zipfile.ZipFile,
target_zip: zipfile.ZipFile,
source_skill_dir: str,
package_name: str,
) -> None:
normalized_source_dir = posixpath.normpath(source_skill_dir)
source_prefix = f'{normalized_source_dir}/'
copied_files = 0
for member in source_zip.infolist():
normalized_member = posixpath.normpath(member.filename)
if normalized_member != normalized_source_dir and not normalized_member.startswith(source_prefix):
continue
relative_path = posixpath.relpath(normalized_member, normalized_source_dir)
if relative_path in ('', '.'):
continue
if relative_path.startswith('../') or relative_path == '..' or posixpath.isabs(relative_path):
raise ValueError(f'GitHub archive contains an unsafe skill path: {member.filename}')
target_name = f'{package_name}/{relative_path}'
if member.is_dir() and not target_name.endswith('/'):
target_name = f'{target_name}/'
target_info = zipfile.ZipInfo(target_name, date_time=member.date_time)
target_info.external_attr = member.external_attr
target_info.compress_type = zipfile.ZIP_DEFLATED
if member.is_dir():
target_zip.writestr(target_info, b'')
continue
target_zip.writestr(target_info, source_zip.read(member))
copied_files += 1
if copied_files == 0:
raise ValueError('GitHub skill directory is empty')
def _uploaded_skill_target_stem(self, filename: str) -> str:
stem = os.path.splitext(os.path.basename(str(filename or '').strip()))[0]
safe_stem = ''.join(ch if ch.isalnum() or ch in ('-', '_') else '-' for ch in stem).strip('-_')
if not safe_stem:
safe_stem = 'uploaded-skill'
return safe_stem
@staticmethod
def _is_github_skill_md_url(asset_url: str) -> bool:
parsed = urlparse(str(asset_url or '').strip())
normalized_path = posixpath.normpath(parsed.path or '/')
return normalized_path.lower().endswith('/skill.md')
def _parse_github_skill_md_url(self, asset_url: str, *, owner: str, repo: str) -> dict:
parsed = urlparse(str(asset_url or '').strip())
if parsed.scheme != 'https' or not parsed.netloc:
raise ValueError('asset_url must be a valid HTTPS GitHub SKILL.md URL')
host = parsed.netloc.lower()
path_parts = [unquote(part) for part in (parsed.path or '').split('/') if part]
if host == 'github.com':
if (
len(path_parts) < 5
or path_parts[0] != owner
or path_parts[1] != repo
or path_parts[2]
not in (
'blob',
'raw',
)
):
raise ValueError('GitHub SKILL.md URL must point to the requested owner/repo blob path')
ref = path_parts[3]
file_path = '/'.join(path_parts[4:])
elif host == 'raw.githubusercontent.com':
if len(path_parts) < 4 or path_parts[0] != owner or path_parts[1] != repo:
raise ValueError('GitHub SKILL.md URL must point to the requested owner/repo raw path')
ref = path_parts[2]
file_path = '/'.join(path_parts[3:])
else:
raise ValueError('asset_url must point to a GitHub SKILL.md file')
normalized_file_path = posixpath.normpath(file_path)
normalized_file_path_lower = normalized_file_path.lower()
if normalized_file_path_lower != 'skill.md' and not normalized_file_path_lower.endswith('/skill.md'):
raise ValueError('GitHub skill import requires a URL ending with SKILL.md')
parent_dir = posixpath.basename(posixpath.dirname(normalized_file_path)) or repo
return {
'ref': ref,
'file_path': normalized_file_path,
'package_name': self._uploaded_skill_target_stem(parent_dir),
}
def _resolve_github_skill_md_package_name(self, content: str, fallback: str) -> str:
metadata, _instructions = parse_frontmatter(content)
candidate = str(metadata.get('name') or fallback or '').strip()
try:
return self._validate_skill_name(candidate)
except ValueError:
return self._validate_skill_name(fallback)
@staticmethod
def _validate_github_asset_url(asset_url: str, *, owner: str, repo: str, release_tag: str) -> str:
parsed = urlparse(str(asset_url).strip())
if parsed.scheme != 'https' or not parsed.netloc:
raise ValueError('asset_url must be a valid HTTPS GitHub asset URL')
host = parsed.netloc.lower()
if host not in _GITHUB_ASSET_HOSTS:
raise ValueError('asset_url must point to a GitHub-hosted release asset or archive')
normalized_path = posixpath.normpath(parsed.path or '/')
allowed_prefixes = [
f'/repos/{owner}/{repo}/',
f'/{owner}/{repo}/',
]
if not any(normalized_path.startswith(prefix) for prefix in allowed_prefixes):
raise ValueError('asset_url does not match the requested owner/repo')
if release_tag and release_tag not in parsed.path and release_tag not in parsed.query:
raise ValueError('asset_url does not match the requested release_tag')
return parsed.geturl()
@staticmethod
def _validate_skill_name(name: str) -> str:
name = str(name or '').strip()
if not name:
raise ValueError('Skill name is required')
if not name.replace('-', '').replace('_', '').isalnum():
raise ValueError('Skill name can only contain letters, numbers, hyphens and underscores')
if len(name) > 64:
raise ValueError('Skill name cannot exceed 64 characters')
return name

View File

@@ -1,5 +0,0 @@
"""LangBot Box runtime package."""
from .workspace import BoxWorkspaceSession
__all__ = ['BoxWorkspaceSession']

View File

@@ -1,354 +0,0 @@
from __future__ import annotations
import asyncio
import json
import os
import sys
import typing
from typing import TYPE_CHECKING
from urllib.parse import urlparse
from langbot_plugin.entities.io.actions.enums import CommonAction
from langbot_plugin.runtime.io.handler import Handler
from langbot_plugin.runtime.io.connection import Connection
from langbot_plugin.box.client import ActionRPCBoxClient
from langbot_plugin.box.errors import BoxRuntimeUnavailableError
from langbot_plugin.box.actions import LangBotToBoxAction
from ..utils import platform
from ..utils.managed_runtime import ManagedRuntimeConnector
if TYPE_CHECKING:
from ..core import app as core_app
# Default Docker Compose service name for the standalone Box container.
_DOCKER_BOX_HOST = 'langbot_box'
_DEFAULT_PORT = 5410
_HEARTBEAT_INTERVAL_SEC = 20
# Top-level keys under ``box`` that are LangBot-internal and should not be
# forwarded to the Box runtime.
_INTERNAL_BOX_CONFIG_KEYS = frozenset({'runtime'})
def _get_box_config(ap) -> dict:
"""Return the 'box' section from instance config.
Environment-variable overrides are handled uniformly by
``LoadConfigStage._apply_env_overrides_to_config`` using the
``SECTION__SUBSECTION__KEY`` convention (e.g. ``BOX__LOCAL__HOST_ROOT``,
``BOX__LOCAL__ALLOWED_MOUNT_ROOTS="/a,/b"``) before this is read, so no
box-specific env parsing is needed here.
"""
instance_config = getattr(ap, 'instance_config', None)
config_data = getattr(instance_config, 'data', {}) if instance_config is not None else {}
return dict(config_data.get('box', {}) or {})
def _get_runtime_endpoint(box_cfg: dict) -> str:
runtime_cfg = box_cfg.get('runtime') or {}
return str(runtime_cfg.get('endpoint', '')).strip()
def _filter_config_for_runtime(box_cfg: dict) -> dict:
return {k: v for k, v in box_cfg.items() if k not in _INTERNAL_BOX_CONFIG_KEYS}
def resolve_box_ws_relay_url(ap: core_app.Application) -> str:
"""Derive the WS relay base URL used for managed-process attach.
The WS relay serves the ``/v1/sessions/{id}/managed-process/ws`` endpoint
on the *relay* port (default 5410).
"""
box_cfg = _get_box_config(ap)
# Explicit runtime endpoint takes precedence. The config value is a base
# URL; endpoint-specific paths are appended by the SDK client.
endpoint = _get_runtime_endpoint(box_cfg)
if endpoint:
parsed = urlparse(endpoint)
scheme = parsed.scheme or 'ws'
if scheme == 'ws':
scheme = 'http'
elif scheme == 'wss':
scheme = 'https'
host = parsed.hostname or '127.0.0.1'
port = parsed.port or _DEFAULT_PORT
return f'{scheme}://{host}:{port}'
# In Docker, relay lives on the box runtime container.
if platform.get_platform() == 'docker':
return f'http://{_DOCKER_BOX_HOST}:{_DEFAULT_PORT}'
return f'http://127.0.0.1:{_DEFAULT_PORT}'
class BoxRuntimeConnector(ManagedRuntimeConnector):
"""Connect to the Box runtime via action RPC.
Transport decision (mirrors Plugin runtime logic):
1. Docker / --standalone-box / explicit runtime.endpoint -> WebSocket to external Box process
2. Windows (non-Docker) -> subprocess + WebSocket (Windows lacks async stdio pipe)
3. Unix / macOS -> subprocess + stdio pipe
"""
def __init__(
self,
ap: core_app.Application,
runtime_disconnect_callback: typing.Callable[
['BoxRuntimeConnector'], typing.Coroutine[typing.Any, typing.Any, None]
]
| None = None,
):
super().__init__(ap)
self.runtime_disconnect_callback = runtime_disconnect_callback
self.configured_runtime_endpoint = self._load_configured_runtime_endpoint()
self.ws_relay_base_url = resolve_box_ws_relay_url(ap)
self.client = ActionRPCBoxClient(logger=ap.logger)
self._handler: Handler | None = None
self._handler_task: asyncio.Task | None = None
self._ctrl_task: asyncio.Task | None = None
self._heartbeat_task: asyncio.Task | None = None
# Parse the relay URL once for reuse.
parsed = urlparse(self.ws_relay_base_url)
self._relay_host = parsed.hostname or '127.0.0.1'
self._relay_port = parsed.port or _DEFAULT_PORT
self._filtered_box_config = _filter_config_for_runtime(_get_box_config(ap))
def _uses_websocket(self) -> bool:
"""Whether the connector should use WebSocket to reach the Box runtime.
True when:
- Running inside Docker (Box runtime is a separate container)
- The ``--standalone-box`` CLI flag was passed
- An explicit ``runtime.endpoint`` was configured
"""
return bool(
self.configured_runtime_endpoint
or platform.get_platform() == 'docker'
or platform.use_websocket_to_connect_box_runtime()
)
async def initialize(self) -> None:
if self._uses_websocket():
if platform.get_platform() == 'win32' and not self.configured_runtime_endpoint:
await self._start_subprocess_then_ws()
else:
await self._connect_remote_ws()
else:
await self._start_local_stdio()
# Start heartbeat after successful connection
if self._heartbeat_task is None:
self._heartbeat_task = asyncio.create_task(self._heartbeat_loop())
# -- heartbeat -----------------------------------------------------------
async def _heartbeat_loop(self) -> None:
"""Periodically ping the Box runtime to detect silent disconnections."""
while True:
await asyncio.sleep(_HEARTBEAT_INTERVAL_SEC)
try:
await self.ping()
self.ap.logger.debug('Heartbeat to Box runtime success.')
except Exception as e:
self.ap.logger.debug(f'Failed to heartbeat to Box runtime: {e}')
async def ping(self) -> None:
if self._handler is None:
raise BoxRuntimeUnavailableError('Box runtime is not connected')
await self._handler.call_action(CommonAction.PING, {})
# -- transport paths -----------------------------------------------------
async def _start_local_stdio(self) -> None:
"""Launch box server as subprocess and connect via stdio (Unix/macOS)."""
from langbot_plugin.runtime.io.controllers.stdio.client import StdioClientController
self.ap.logger.info('Use stdio to connect to box runtime')
python_path = sys.executable
env = os.environ.copy()
if self._filtered_box_config:
env['LANGBOT_BOX_CONFIG'] = json.dumps(self._filtered_box_config)
connected = asyncio.Event()
connect_error: list[Exception] = []
ctrl = StdioClientController(
command=python_path,
# Launched through the same CLI entry point as the plugin runtime
# (cli.__init__ <subcommand>); `-s` selects the stdio transport,
# mirroring `rt -s`.
args=['-m', 'langbot_plugin.cli.__init__', 'box', '-s', '--ws-control-port', str(self._relay_port)],
env=env,
)
self._ctrl_task = asyncio.create_task(
ctrl.run(self._make_connection_callback('stdio', connected, connect_error))
)
try:
await asyncio.wait_for(connected.wait(), timeout=30.0)
except asyncio.TimeoutError:
raise BoxRuntimeUnavailableError('box runtime subprocess did not connect in time')
if connect_error:
raise BoxRuntimeUnavailableError(f'box runtime connection failed: {connect_error[0]}')
self._subprocess = ctrl.process
async def _start_subprocess_then_ws(self) -> None:
"""Launch box server as detached subprocess, then connect via WS (Windows)."""
self.ap.logger.info('(windows) Use cmd to launch box runtime and communicate via ws')
env = os.environ.copy()
if self._filtered_box_config:
env['LANGBOT_BOX_CONFIG'] = json.dumps(self._filtered_box_config)
python_path = sys.executable
# Launched through the same CLI entry point as the plugin runtime
# (cli.__init__ <subcommand>); no flag => WebSocket transport.
self.runtime_subprocess = await asyncio.create_subprocess_exec(
python_path,
'-m',
'langbot_plugin.cli.__init__',
'box',
'--ws-control-port',
str(self._relay_port),
env=env,
)
self.runtime_subprocess_task = asyncio.create_task(self.runtime_subprocess.wait())
ws_url = f'ws://localhost:{self._relay_port}/rpc/ws'
await self._connect_ws(ws_url, '(windows) WebSocket')
async def _connect_remote_ws(self) -> None:
"""Connect to a remote (or Docker) box server via WebSocket."""
ws_url = self._resolve_rpc_ws_url()
self.ap.logger.info(f'Use WebSocket to connect to box runtime ({ws_url})')
await self._connect_ws(ws_url, 'WebSocket')
# -- helpers -------------------------------------------------------------
def _resolve_rpc_ws_url(self) -> str:
"""Determine the action-RPC WebSocket URL.
All endpoints share a single port; action RPC is at ``/rpc/ws``.
"""
if self.configured_runtime_endpoint:
base = self.configured_runtime_endpoint.rstrip('/')
parsed = urlparse(base)
scheme = parsed.scheme or 'ws'
if scheme in ('http', 'https'):
scheme = 'wss' if scheme == 'https' else 'ws'
host = parsed.hostname or '127.0.0.1'
port = parsed.port or _DEFAULT_PORT
return f'{scheme}://{host}:{port}/rpc/ws'
if platform.get_platform() == 'docker':
return f'ws://{_DOCKER_BOX_HOST}:{_DEFAULT_PORT}/rpc/ws'
return f'ws://localhost:{self._relay_port}/rpc/ws'
async def _connect_ws(self, ws_url: str, transport_name: str) -> None:
"""Shared WebSocket connection procedure."""
from langbot_plugin.runtime.io.controllers.ws.client import WebSocketClientController
connected = asyncio.Event()
connect_error: list[Exception] = []
async def on_connect_failed(ctrl, exc):
if exc is not None:
self.ap.logger.error(f'Failed to connect to Box runtime ({ws_url}): {exc}')
else:
self.ap.logger.error(f'Failed to connect to Box runtime ({ws_url}), trying to reconnect...')
connect_error.append(exc or BoxRuntimeUnavailableError('ws connection failed'))
connected.set()
if self.runtime_disconnect_callback is not None:
await self.runtime_disconnect_callback(self)
ctrl = WebSocketClientController(ws_url=ws_url, make_connection_failed_callback=on_connect_failed)
self._ctrl_task = asyncio.create_task(
ctrl.run(self._make_connection_callback(transport_name, connected, connect_error))
)
try:
await asyncio.wait_for(connected.wait(), timeout=30.0)
except asyncio.TimeoutError:
raise BoxRuntimeUnavailableError(f'box runtime ws connection timed out ({ws_url})')
if connect_error:
raise BoxRuntimeUnavailableError(f'box runtime connection failed: {connect_error[0]}')
def _make_connection_callback(
self,
transport_name: str,
connected: asyncio.Event,
connect_error: list[Exception],
):
async def new_connection_callback(connection: Connection) -> None:
handler = Handler(connection)
self._handler = handler
self.client.set_handler(handler)
self._handler_task = asyncio.create_task(handler.run())
try:
await handler.call_action(CommonAction.PING, {})
if self._filtered_box_config:
await handler.call_action(LangBotToBoxAction.INIT, self._filtered_box_config)
self.ap.logger.debug('Sent box configuration to Box runtime via INIT.')
self.ap.logger.info(f'Connected to Box runtime via {transport_name}.')
connected.set()
await self._handler_task
except Exception as exc:
if not connected.is_set():
connect_error.append(exc)
connected.set()
return
# If we reach here, handler.run() returned normally (connection
# closed) or raised after the initial handshake succeeded.
# Either way, treat it as a disconnect.
if connected.is_set():
if self._uses_websocket():
self.ap.logger.error('Disconnected from Box runtime, trying to reconnect...')
if self.runtime_disconnect_callback is not None:
await self.runtime_disconnect_callback(self)
else:
self.ap.logger.error(
'Disconnected from Box runtime via stdio. '
'Cannot automatically reconnect — please restart LangBot.'
)
return new_connection_callback
# -- lifecycle -----------------------------------------------------------
def dispose(self) -> None:
if self._heartbeat_task is not None:
self._heartbeat_task.cancel()
self._heartbeat_task = None
if self._handler_task is not None:
self._handler_task.cancel()
self._handler_task = None
if self._ctrl_task is not None:
self._ctrl_task.cancel()
self._ctrl_task = None
# stdio-managed subprocess (stored as self._subprocess by _start_local_stdio)
if hasattr(self, '_subprocess') and self._subprocess is not None and self._subprocess.returncode is None:
self.ap.logger.info('Terminating managed box runtime process...')
self._subprocess.terminate()
# Subprocess launched by ManagedRuntimeConnector._start_runtime_subprocess (Windows path)
self._dispose_subprocess()
# -- config helpers ------------------------------------------------------
def _load_configured_runtime_endpoint(self) -> str:
return _get_runtime_endpoint(_get_box_config(self.ap))

View File

@@ -1,98 +0,0 @@
"""Three-layer security policy for LangBot Box.
The design separates concerns into three independent layers, aligned with
OpenCode / OpenClaw patterns:
1. **SandboxPolicy** *where* tools run (host vs sandbox).
2. **ToolPolicy** *which* tools are allowed (allow/deny lists).
3. **ElevatedPolicy** *whether* a single exec call may temporarily
escape the default sandbox boundary.
These three layers are orthogonal:
- ToolPolicy is a hard boundary; ``elevated`` cannot bypass a denied tool.
- SandboxPolicy decides the default execution location.
- ElevatedPolicy only affects ``exec`` and only when the framework allows it.
"""
from __future__ import annotations
import enum
from typing import Sequence
# ── Layer 1: Sandbox Policy ──────────────────────────────────────────
class SandboxMode(str, enum.Enum):
"""Determines when agent execution is routed through the sandbox."""
OFF = 'off'
"""Sandbox disabled; all exec runs on the host."""
NON_DEFAULT = 'non_default'
"""Only non-default sessions are sandboxed (e.g. sub-agents, MCP)."""
ALL = 'all'
"""Every agent exec call is routed through the sandbox."""
class SandboxPolicy:
"""Decides whether a given execution context should use the sandbox."""
def __init__(self, mode: SandboxMode = SandboxMode.ALL):
self.mode = mode
def should_sandbox(self, *, is_default_session: bool = True) -> bool:
if self.mode == SandboxMode.OFF:
return False
if self.mode == SandboxMode.ALL:
return True
# NON_DEFAULT: sandbox everything except the default session
return not is_default_session
# ── Layer 2: Tool Policy ─────────────────────────────────────────────
class ToolPolicy:
"""Controls which tools are available to the current agent/session.
Rules:
- ``deny`` always takes precedence over ``allow``.
- An empty ``allow`` list means "all tools allowed" (no allowlist filter).
- ``elevated`` cannot bypass a denied tool.
"""
def __init__(
self,
allow: Sequence[str] = (),
deny: Sequence[str] = (),
):
self._allow: frozenset[str] = frozenset(allow)
self._deny: frozenset[str] = frozenset(deny)
def is_tool_allowed(self, tool_name: str) -> bool:
if tool_name in self._deny:
return False
if self._allow and tool_name not in self._allow:
return False
return True
# ── Layer 3: Elevated Policy ─────────────────────────────────────────
class ElevatedPolicy:
"""Controls whether ``exec`` may request temporary privilege escalation.
``elevated`` only applies to the ``exec`` tool. It means "run this
command outside the default sandbox boundary" (e.g. with network, or
on the host). The framework decides whether to honor the request.
"""
def __init__(self, *, allow_elevated: bool = False, require_approval: bool = True):
self.allow_elevated = allow_elevated
self.require_approval = require_approval
def is_elevation_permitted(self) -> bool:
return self.allow_elevated

View File

@@ -1,797 +0,0 @@
from __future__ import annotations
import asyncio
import collections
import datetime as _dt
import enum
import json
import os
from typing import TYPE_CHECKING
import pydantic
from langbot_plugin.box.client import BoxRuntimeClient
from .connector import BoxRuntimeConnector, _get_box_config
from langbot_plugin.box.errors import BoxError, BoxValidationError
from langbot_plugin.box.models import (
BUILTIN_PROFILES,
BoxExecutionResult,
BoxManagedProcessInfo,
BoxManagedProcessSpec,
BoxProfile,
BoxSpec,
)
_INT_ADAPTER = pydantic.TypeAdapter(int)
_UTC = _dt.timezone.utc
_MAX_RECENT_ERRORS = 50
_MIB = 1024 * 1024
def _is_path_under(path: str, root: str) -> bool:
"""Check whether *path* equals *root* or is a child of *root*."""
return path == root or path.startswith(f'{root}{os.sep}')
if TYPE_CHECKING:
from ..core import app as core_app
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
class BoxService:
def __init__(
self,
ap: core_app.Application,
client: BoxRuntimeClient | None = None,
output_limit_chars: int = 4000,
):
self.ap = ap
self._enabled = self._load_enabled()
self._runtime_connector: BoxRuntimeConnector | None = None
if client is None:
# Always construct a connector — its __init__ is side-effect free
# (no I/O, no subprocess). When ``box.enabled = false`` we simply
# skip ``connector.initialize()`` so no connection is attempted.
self._runtime_connector = BoxRuntimeConnector(ap, runtime_disconnect_callback=self._on_runtime_disconnect)
client = self._runtime_connector.client
self.client = client
self.output_limit_chars = output_limit_chars
self.host_root = self._load_host_root()
self.allowed_mount_roots = self._load_allowed_mount_roots()
self.default_workspace = self._load_default_workspace()
self.profile = self._load_profile()
self.custom_image = self._load_custom_image()
self.workspace_quota_mb = self._load_workspace_quota_mb()
self._recent_errors: collections.deque[dict] = collections.deque(maxlen=_MAX_RECENT_ERRORS)
self._shutdown_task = None
self._available = False
self._connector_error: str = ''
self._reconnecting = False
@property
def enabled(self) -> bool:
"""Whether Box is enabled in config. False means the operator has
deliberately turned the sandbox off via ``box.enabled = false``.
Disabled and "enabled but unavailable" are reported as the same
``available = False`` to consumers, but distinguished in get_status."""
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
# gate on ``available`` and degrade gracefully.
self._available = False
self._connector_error = 'Box runtime is disabled in config (box.enabled = false)'
self.ap.logger.info(
'Box runtime disabled by config; sandbox features (exec/read/write/edit, '
'skill add/edit, stdio MCP) will be unavailable.'
)
return
try:
if self._runtime_connector is not None:
await self._runtime_connector.initialize()
else:
await self.client.initialize()
self._available = True
self._connector_error = ''
self.ap.logger.info(
f'LangBot Box runtime initialized: profile={self.profile.name} '
f'default_workspace={self.default_workspace or "(none)"}'
)
except Exception as exc:
self.ap.logger.warning(f'LangBot Box runtime unavailable, sandbox features disabled: {exc}')
self._available = False
self._connector_error = str(exc)
async def _on_runtime_disconnect(self, connector: BoxRuntimeConnector) -> None:
"""Called by the connector when the Box runtime connection drops.
Spawns a background reconnection loop so the caller is not blocked.
Skipped entirely when Box is disabled by config — that path should
never have connected in the first place.
"""
if not self._enabled:
return
if self._reconnecting:
return # Another reconnect loop is already running
self._reconnecting = True
self._available = False
self._connector_error = 'Disconnected from Box runtime'
self.ap.logger.warning('Box runtime disconnected, sandbox features temporarily disabled.')
asyncio.create_task(self._reconnect_loop(connector))
async def _reconnect_loop(self, connector: BoxRuntimeConnector) -> None:
"""Retry reconnection with exponential backoff (3s → 60s max)."""
delay = 3
max_delay = 60
try:
while True:
self.ap.logger.info(f'Attempting to reconnect to Box runtime in {delay}s...')
await asyncio.sleep(delay)
try:
connector.dispose()
await connector.initialize()
self._available = True
self._connector_error = ''
self.ap.logger.info('Box runtime reconnected, sandbox features restored.')
return
except Exception as exc:
self._connector_error = str(exc)
self.ap.logger.warning(f'Box runtime reconnection failed: {exc}')
delay = min(delay * 2, max_delay)
finally:
self._reconnecting = False
@property
def available(self) -> bool:
return self._available
async def execute_spec_payload(
self,
spec_payload: dict,
query: pipeline_query.Query,
*,
skip_host_mount_validation: bool = False,
) -> dict:
if not self._available:
raise BoxError('Box runtime is not available. Install and start Docker to use sandbox features.')
try:
spec = self.build_spec(spec_payload, skip_host_mount_validation=skip_host_mount_validation)
except BoxError as exc:
self._record_error(exc, query)
raise
self.ap.logger.info(
'LangBot Box request: '
f'query_id={query.query_id} '
f'spec={json.dumps(self._summarize_spec(spec), ensure_ascii=False)}'
)
try:
await self._enforce_workspace_quota(spec, phase='before execution')
except BoxError as exc:
self._record_error(exc, query)
raise
try:
result = await self.client.execute(spec)
except BoxError as exc:
self._record_error(exc, query)
raise
try:
await self._enforce_workspace_quota(spec, phase='after execution')
except BoxError as exc:
await self._cleanup_exceeded_session(spec)
self._record_error(exc, query)
raise
self.ap.logger.info(
'LangBot Box result: '
f'query_id={query.query_id} '
f'summary={json.dumps(self._summarize_result(result), ensure_ascii=False)}'
)
return self._serialize_result(result)
def resolve_box_session_id(self, query: pipeline_query.Query) -> str:
"""Resolve the Box session_id from the pipeline's template and query variables."""
template = (
(query.pipeline_config or {})
.get('ai', {})
.get('local-agent', {})
.get('box-session-id-template', '{launcher_type}_{launcher_id}')
)
variables = dict(query.variables or {})
launcher_type = getattr(query, 'launcher_type', None)
if hasattr(launcher_type, 'value'):
launcher_type = launcher_type.value
launcher_id = getattr(query, 'launcher_id', None)
sender_id = getattr(query, 'sender_id', None)
query_id = getattr(query, 'query_id', None)
variables.setdefault('query_id', str(query_id or 'unknown'))
variables.setdefault('launcher_type', str(launcher_type or 'query'))
variables.setdefault('launcher_id', str(launcher_id or query_id or 'unknown'))
variables.setdefault('sender_id', str(sender_id or launcher_id or query_id or 'unknown'))
variables.setdefault('global', 'global')
return template.format_map(collections.defaultdict(lambda: 'unknown', variables))
def build_skill_extra_mounts(self, query: pipeline_query.Query) -> list[dict]:
"""Build extra_mounts entries for all pipeline-bound skills.
This ensures that when a container is first created it already has
all skill packages mounted, regardless of which skill is currently
activated.
Skills whose ``package_root`` is missing or no longer a directory on
the LangBot-visible filesystem are skipped with a warning instead of
being passed through to the backend. Without this guard the three
backends behave inconsistently on a stale mount: nsjail refuses to
start the sandbox (failing every exec in the session), Docker
silently auto-creates a root-owned empty directory on the host, and
E2B silently skips the upload — none of which surfaces an
actionable error to the agent or operator.
"""
skill_mgr = getattr(self.ap, 'skill_mgr', None)
if skill_mgr is None:
return []
from ..provider.tools.loaders import skill as skill_loader
visible_skills = skill_loader.get_visible_skills(self.ap, query)
mounts: list[dict] = []
for skill_name, skill_data in visible_skills.items():
package_root = str(skill_data.get('package_root', '') or '').strip()
if not package_root:
continue
if not os.path.isdir(package_root):
self.ap.logger.warning(
f'Skill "{skill_name}" package_root missing on filesystem '
f'({package_root}); skipping mount to prevent sandbox failures. '
f'The skill cache may be stale — consider reloading skills.'
)
continue
mounts.append(
{
'host_path': package_root,
'mount_path': f'/workspace/.skills/{skill_name}',
'mode': 'rw',
}
)
return mounts
async def execute_tool(self, parameters: dict, query: pipeline_query.Query) -> dict:
"""Execute an agent-facing ``exec`` tool call.
Translates the agent-facing ``command`` field to the internal
``BoxSpec.cmd`` field and injects the session id from the query.
"""
spec_payload: dict = {'cmd': parameters['command']}
# Pass through allowed agent-facing fields
for key in ('workdir', 'timeout_sec', 'env'):
if key in parameters:
spec_payload[key] = parameters[key]
# Inject context the agent must not control
spec_payload.setdefault('session_id', self.resolve_box_session_id(query))
# Mount all pipeline-bound skills so they are available in the container
if 'extra_mounts' not in spec_payload:
spec_payload['extra_mounts'] = self.build_skill_extra_mounts(query)
return await self.execute_spec_payload(spec_payload, query)
async def shutdown(self):
await self.client.shutdown()
def dispose(self):
if self._runtime_connector is not None:
self._runtime_connector.dispose()
loop = getattr(self.ap, 'event_loop', None)
if loop is not None and not loop.is_closed() and (self._shutdown_task is None or self._shutdown_task.done()):
self._shutdown_task = loop.create_task(self.shutdown())
async def get_sessions(self) -> list[dict]:
if not self._available:
return []
try:
return await self.client.get_sessions()
except Exception:
return []
def build_spec(self, spec_payload: dict, skip_host_mount_validation: bool = False) -> BoxSpec:
spec_payload = dict(spec_payload)
spec_payload.setdefault('env', {})
if spec_payload.get('host_path') in (None, '') and self.default_workspace is not None:
spec_payload['host_path'] = self.default_workspace
if spec_payload.get('workspace_quota_mb') in (None, '') and self.workspace_quota_mb is not None:
spec_payload['workspace_quota_mb'] = self.workspace_quota_mb
# Global custom image overrides profile default (but not caller-specified image)
if self.custom_image and 'image' not in spec_payload:
spec_payload['image'] = self.custom_image
self._apply_profile(spec_payload)
try:
spec = BoxSpec.model_validate(spec_payload)
except pydantic.ValidationError as exc:
first_error = exc.errors()[0]
raise BoxValidationError(first_error.get('msg', 'invalid box arguments')) from exc
if not skip_host_mount_validation:
self._validate_host_mount(spec)
return spec
async def create_session(self, spec_payload: dict, *, skip_host_mount_validation: bool = False) -> dict:
spec = self.build_spec(spec_payload, skip_host_mount_validation=skip_host_mount_validation)
return await self.client.create_session(spec)
async def start_managed_process(self, session_id: str, process_payload: dict) -> BoxManagedProcessInfo:
process_spec = BoxManagedProcessSpec.model_validate(process_payload)
return await self.client.start_managed_process(session_id, process_spec)
async def get_managed_process(self, session_id: str, process_id: str = 'default') -> BoxManagedProcessInfo:
return await self.client.get_managed_process(session_id, process_id)
async def stop_managed_process(self, session_id: str, process_id: str = 'default') -> None:
return await self.client.stop_managed_process(session_id, process_id)
def get_managed_process_websocket_url(self, session_id: str, process_id: str = 'default') -> str:
getter = getattr(self.client, 'get_managed_process_websocket_url', None)
if getter is None:
raise BoxValidationError('box runtime client does not support managed process websocket attach')
ws_relay_base_url = (
self._runtime_connector.ws_relay_base_url
if self._runtime_connector is not None
else 'http://127.0.0.1:5410'
)
return getter(session_id, ws_relay_base_url, process_id)
async def list_skills(self) -> list[dict]:
return await self.client.list_skills()
async def get_skill(self, name: str) -> dict | None:
return await self.client.get_skill(name)
async def create_skill(self, skill: dict) -> dict:
return await self.client.create_skill(skill)
async def update_skill(self, name: str, skill: dict) -> dict:
return await self.client.update_skill(name, skill)
async def delete_skill(self, name: str) -> None:
await self.client.delete_skill(name)
async def scan_skill_directory(self, path: str) -> dict:
return await self.client.scan_skill_directory(path)
async def list_skill_files(
self,
name: str,
path: str = '.',
include_hidden: bool = False,
max_entries: int = 200,
) -> dict:
return await self.client.list_skill_files(name, path, include_hidden, max_entries)
async def read_skill_file(self, name: str, path: str) -> dict:
return await self.client.read_skill_file(name, path)
async def write_skill_file(self, name: str, path: str, content: str) -> dict:
return await self.client.write_skill_file(name, path, content)
async def preview_skill_zip(
self,
file_bytes: bytes,
filename: str,
source_subdir: str = '',
target_suffix: str = 'upload',
) -> list[dict]:
return await self.client.preview_skill_zip(file_bytes, filename, source_subdir, target_suffix)
async def install_skill_zip(
self,
file_bytes: bytes,
filename: str,
source_paths: list[str] | None = None,
source_path: str = '',
source_subdir: str = '',
target_suffix: str = 'upload',
) -> list[dict]:
return await self.client.install_skill_zip(
file_bytes,
filename,
source_paths,
source_path,
source_subdir,
target_suffix,
)
def _serialize_result(self, result: BoxExecutionResult) -> dict:
stdout, stdout_truncated = self._truncate(result.stdout)
stderr, stderr_truncated = self._truncate(result.stderr)
return {
'session_id': result.session_id,
'backend': result.backend_name,
'status': result.status.value,
'ok': result.ok,
'exit_code': result.exit_code,
'stdout': stdout,
'stderr': stderr,
'stdout_truncated': stdout_truncated,
'stderr_truncated': stderr_truncated,
'duration_ms': result.duration_ms,
}
def _truncate(self, text: str) -> tuple[str, bool]:
if len(text) <= self.output_limit_chars:
return text, False
if self.output_limit_chars <= 0:
return '', True
head_size = 0
tail_size = 0
notice = ''
# Recompute once the omitted count is known so the final payload
# stays within output_limit_chars even after adding the notice.
for _ in range(4):
omitted = max(len(text) - head_size - tail_size, 0)
notice = f'\n\n... [{omitted} characters truncated] ...\n\n'
available = self.output_limit_chars - len(notice)
if available <= 0:
return notice[: self.output_limit_chars], True
new_head_size = int(available * 0.6)
new_tail_size = available - new_head_size
if new_head_size == head_size and new_tail_size == tail_size:
break
head_size = new_head_size
tail_size = new_tail_size
head = text[:head_size]
tail = text[-tail_size:] if tail_size else ''
truncated = f'{head}{notice}{tail}'
return truncated[: self.output_limit_chars], True
def _summarize_spec(self, spec: BoxSpec) -> dict:
cmd = spec.cmd.strip()
if len(cmd) > 400:
cmd = f'{cmd[:397]}...'
return {
'session_id': spec.session_id,
'workdir': spec.workdir,
'mount_path': spec.mount_path,
'timeout_sec': spec.timeout_sec,
'network': spec.network.value,
'image': spec.image,
'host_path': spec.host_path,
'host_path_mode': spec.host_path_mode.value,
'cpus': spec.cpus,
'memory_mb': spec.memory_mb,
'pids_limit': spec.pids_limit,
'read_only_rootfs': spec.read_only_rootfs,
'workspace_quota_mb': spec.workspace_quota_mb,
'env_keys': sorted(spec.env.keys()),
'cmd': cmd,
}
def _summarize_result(self, result: BoxExecutionResult) -> dict:
stdout_preview = result.stdout[:200]
stderr_preview = result.stderr[:200]
if len(result.stdout) > 200:
stdout_preview = f'{stdout_preview}...'
if len(result.stderr) > 200:
stderr_preview = f'{stderr_preview}...'
return {
'session_id': result.session_id,
'backend': result.backend_name,
'status': result.status.value,
'exit_code': result.exit_code,
'duration_ms': result.duration_ms,
'stdout_preview': stdout_preview,
'stderr_preview': stderr_preview,
}
def _local_config(self) -> dict:
"""Return ``box.local`` from instance config.
Environment overrides are applied uniformly by
``LoadConfigStage._apply_env_overrides_to_config`` (e.g.
``BOX__LOCAL__HOST_ROOT``) before this is read, so no box-specific
env parsing happens here.
"""
return dict(_get_box_config(self.ap).get('local') or {})
def _load_allowed_mount_roots(self) -> list[str]:
configured_roots = self._local_config().get('allowed_mount_roots', [])
# The unified env-override mechanism stores a brand-new key as a raw
# string when the key is absent from config.yaml. Accept a
# comma-separated string as well as a list so that
# ``BOX__LOCAL__ALLOWED_MOUNT_ROOTS="/a,/b"`` keeps working even when
# the config file has no ``box.local.allowed_mount_roots`` entry.
if isinstance(configured_roots, str):
configured_roots = [item.strip() for item in configured_roots.split(',') if item.strip()]
normalized_roots: list[str] = []
for root in configured_roots:
root_value = str(root).strip()
if not root_value:
continue
normalized_roots.append(os.path.realpath(os.path.abspath(root_value)))
if not normalized_roots and self.host_root is not None:
normalized_roots.append(self.host_root)
return normalized_roots
def _load_host_root(self) -> str | None:
host_root = str(self._local_config().get('host_root', '')).strip()
if not host_root:
return None
return os.path.realpath(os.path.abspath(host_root))
def _load_default_workspace(self) -> str | None:
default_workspace = str(self._local_config().get('default_workspace', '')).strip()
if not default_workspace:
if self.host_root is None:
return None
default_workspace = os.path.join(self.host_root, 'default')
elif not os.path.isabs(default_workspace) and self.host_root is not None:
default_workspace = os.path.join(self.host_root, default_workspace)
return os.path.realpath(os.path.abspath(default_workspace))
def get_skills_root(self) -> str | None:
skills_root = str(self._local_config().get('skills_root', '') or 'skills').strip()
if not skills_root:
skills_root = 'skills'
if not os.path.isabs(skills_root) and self.host_root is not None:
skills_root = os.path.join(self.host_root, skills_root)
return os.path.realpath(os.path.abspath(skills_root))
def _load_enabled(self) -> bool:
"""Read ``box.enabled`` (top-level, not ``box.local.*``). Default True
— disabling is opt-in. Accepts bool, ``'true'``/``'false'`` strings,
and the standard env-overridden truthy values that
``LoadConfigStage._apply_env_overrides_to_config`` produces."""
raw = _get_box_config(self.ap).get('enabled', True)
if isinstance(raw, bool):
return raw
return str(raw).strip().lower() not in ('false', '0', 'no', 'off', '')
def _load_custom_image(self) -> str | None:
raw = str(self._local_config().get('image', '') or '').strip()
return raw or None
def _load_workspace_quota_mb(self) -> int | None:
raw_value = self._local_config().get('workspace_quota_mb')
if raw_value in (None, ''):
return None
try:
value = _INT_ADAPTER.validate_python(raw_value)
except pydantic.ValidationError as exc:
raise BoxValidationError('workspace_quota_mb must be an integer greater than or equal to 0') from exc
if value < 0:
raise BoxValidationError('workspace_quota_mb must be greater than or equal to 0')
return value
def _ensure_default_workspace(self):
if self.default_workspace is None:
return
if os.path.isdir(self.default_workspace):
return
if os.path.exists(self.default_workspace):
raise BoxValidationError('box.local.default_workspace must point to a directory on the host')
if not self.allowed_mount_roots:
raise BoxValidationError(
'box.local.default_workspace cannot be created because no allowed_mount_roots are configured'
)
for allowed_root in self.allowed_mount_roots:
if _is_path_under(self.default_workspace, allowed_root):
os.makedirs(self.default_workspace, exist_ok=True)
return
allowed_roots = ', '.join(self.allowed_mount_roots)
raise BoxValidationError(f'box.local.default_workspace is outside allowed_mount_roots: {allowed_roots}')
def _validate_host_mount(self, spec: BoxSpec):
if spec.host_path is None:
return
host_path = os.path.realpath(spec.host_path)
if 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:
raise BoxValidationError('host_path mounting is disabled because no allowed_mount_roots are configured')
for allowed_root in self.allowed_mount_roots:
if _is_path_under(host_path, allowed_root):
return
allowed_roots = ', '.join(self.allowed_mount_roots)
raise BoxValidationError(f'host_path is outside allowed_mount_roots: {allowed_roots}')
def _load_profile(self) -> BoxProfile:
profile_name = str(self._local_config().get('profile', 'default')).strip() or 'default'
profile = BUILTIN_PROFILES.get(profile_name)
if profile is None:
available = ', '.join(sorted(BUILTIN_PROFILES))
raise BoxValidationError(f"unknown box profile '{profile_name}', available profiles: {available}")
return profile
def _apply_profile(self, params: dict):
"""Merge profile defaults into *params* in-place, enforce locked fields and clamp timeout."""
profile = self.profile
_PROFILE_FIELDS = (
'image',
'network',
'timeout_sec',
'host_path_mode',
'cpus',
'memory_mb',
'pids_limit',
'read_only_rootfs',
'workspace_quota_mb',
)
for field in _PROFILE_FIELDS:
profile_value = getattr(profile, field)
raw_value = profile_value.value if isinstance(profile_value, enum.Enum) else profile_value
if field in profile.locked:
params[field] = raw_value
elif field not in params:
params[field] = raw_value
timeout = params.get('timeout_sec')
try:
normalized_timeout = _INT_ADAPTER.validate_python(timeout)
except pydantic.ValidationError:
return
if normalized_timeout > profile.max_timeout_sec:
params['timeout_sec'] = profile.max_timeout_sec
def _get_workspace_size_bytes(self, root: str) -> int:
total = 0
def _walk(path: str):
nonlocal total
try:
with os.scandir(path) as entries:
for entry in entries:
try:
if entry.is_symlink():
total += entry.stat(follow_symlinks=False).st_size
continue
if entry.is_dir(follow_symlinks=False):
_walk(entry.path)
continue
total += entry.stat(follow_symlinks=False).st_size
except FileNotFoundError:
continue
except FileNotFoundError:
return
_walk(root)
return total
async def _enforce_workspace_quota(self, spec: BoxSpec, *, phase: str) -> None:
if spec.host_path is None or spec.workspace_quota_mb <= 0:
return
host_path = os.path.realpath(spec.host_path)
if not os.path.isdir(host_path):
return
# Walk the workspace off the event loop — this runs on every
# quota-enforced exec, and a large tree would otherwise block the whole
# asyncio runtime (all bots/pipelines) for the duration of the scan.
used_bytes = await asyncio.to_thread(self._get_workspace_size_bytes, host_path)
limit_bytes = spec.workspace_quota_mb * _MIB
if used_bytes <= limit_bytes:
return
raise BoxValidationError(
f'workspace quota exceeded {phase}: '
f'used={used_bytes} bytes limit={limit_bytes} bytes '
f'host_path={host_path} session_id={spec.session_id}'
)
async def _cleanup_exceeded_session(self, spec: BoxSpec) -> None:
try:
await self.client.delete_session(spec.session_id)
except Exception as exc:
self.ap.logger.warning(
'Failed to clean up Box session after workspace quota was exceeded: '
f'session_id={spec.session_id} error={exc}'
)
# ── Observability ─────────────────────────────────────────────────
def _record_error(self, exc: Exception, query: pipeline_query.Query):
self._recent_errors.append(
{
'timestamp': _dt.datetime.now(_UTC).isoformat(),
'type': type(exc).__name__,
'message': str(exc),
'query_id': str(query.query_id),
}
)
def get_recent_errors(self) -> list[dict]:
return list(self._recent_errors)
def get_system_guidance(self) -> str:
"""Return LLM system-prompt guidance for the exec tool.
All execution-specific prompt text is kept here so that callers
(e.g. LocalAgentRunner) stay free of box domain knowledge.
"""
guidance = (
'When the exec tool is available, use it for exact calculations, statistics, structured data parsing, '
'and code execution instead of estimating mentally. If the user provides numbers, tables, CSV-like text, '
'JSON, or other data and asks for a computed answer, prefer running a short Python script via exec '
'and then answer from the tool result. Unless the user explicitly asks for the script, code, or implementation '
'details, do not include the generated script in the final answer; return the result and a brief explanation only.'
)
if self.default_workspace:
guidance += (
' A default workspace is mounted at /workspace for file tasks. When the user asks to read, create, or '
'modify local files in the working directory, use exec with /workspace paths directly; do not ask the '
'user for directory parameters unless they explicitly need a different directory.'
)
return guidance
async def get_status(self) -> dict:
if not self._available:
return {
'available': False,
'enabled': self._enabled,
'profile': self.profile.name,
'recent_error_count': len(self._recent_errors),
'connector_error': self._connector_error,
}
try:
runtime_status = await self.client.get_status()
except Exception as exc:
# RPC failed — the runtime likely just disconnected and the
# heartbeat hasn't flipped _available yet.
return {
'available': False,
'enabled': self._enabled,
'profile': self.profile.name,
'recent_error_count': len(self._recent_errors),
'connector_error': str(exc),
}
# Backend state can be unavailable even when the connector is healthy
# (operator selected nsjail but the binary is missing, Docker daemon
# went down after the runtime started, E2B credentials wrong, ...).
# Report the combined state in the top-level ``available`` so the
# frontend banner / ``useBoxStatus`` hook / native-tool gate all
# agree on "actually usable" rather than "connector alive". The
# detailed ``backend`` object stays in the payload so the dialog
# can still show which backend was tried.
backend_info = runtime_status.get('backend') if isinstance(runtime_status, dict) else None
backend_ok = bool(backend_info and backend_info.get('available', False))
payload = {
**runtime_status,
'available': backend_ok,
'enabled': self._enabled,
'profile': self.profile.name,
'recent_error_count': len(self._recent_errors),
}
if not backend_ok and 'connector_error' not in payload:
backend_name = backend_info.get('name') if backend_info else None
if backend_name:
payload['connector_error'] = f'Configured sandbox backend "{backend_name}" is unavailable'
else:
payload['connector_error'] = 'No supported sandbox backend (Docker / nsjail / E2B) is available'
return payload

View File

@@ -1,413 +0,0 @@
"""Reusable workspace/session helpers built on top of Box.
This module is the middle layer between the raw Box runtime primitives and
application-specific flows such as skills or MCP stdio.
It intentionally stays generic:
- path and virtualenv rewriting are workspace concerns
- Python project detection/bootstrap are workspace concerns
- session exec / managed-process helpers are workspace concerns
Higher layers add their own semantics on top, for example:
- skills choose a stable per-skill session id and use repeated exec
- MCP stdio chooses how to prepare dependencies and attaches to a managed process
"""
from __future__ import annotations
import os
import textwrap
from typing import Any
PYTHON_MANIFEST_FILES = (
'requirements.txt',
'pyproject.toml',
'setup.py',
'setup.cfg',
)
_VENV_DIRS = frozenset({'.venv', 'venv', 'env', '.env'})
_VENV_BIN_DIRS = frozenset({'bin', 'Scripts'})
def normalize_host_path(path: str | None) -> str:
if path is None:
return ''
stripped = str(path).strip()
if not stripped:
return ''
return os.path.realpath(os.path.abspath(stripped))
def rewrite_mounted_path(path: str, host_path: str | None, *, mount_path: str = '/workspace') -> str:
"""Translate a host path into the path visible inside the sandbox mount."""
if not host_path or not path:
return path
normalized_host = os.path.realpath(host_path)
normalized_path = os.path.realpath(path)
if normalized_path.startswith(normalized_host + '/'):
return mount_path + normalized_path[len(normalized_host) :]
if normalized_path == normalized_host:
return mount_path
return path
def unwrap_venv_path(directory: str) -> str:
"""Collapse ``.../.venv/bin`` style paths back to the project root."""
parts = directory.replace('\\', '/').split('/')
for i in range(len(parts) - 1, 0, -1):
if parts[i] in _VENV_BIN_DIRS and i >= 1:
venv_dir = parts[i - 1]
if venv_dir in _VENV_DIRS:
project_root = '/'.join(parts[: i - 1])
return project_root if project_root else '/'
return directory
def infer_workspace_host_path(command: str, args: list[str] | None = None) -> str | None:
"""Infer the project/workspace root from absolute command/arg paths."""
candidates: list[str] = []
for part in [command, *(args or [])]:
if not os.path.isabs(part):
continue
if os.path.exists(part):
directory = os.path.dirname(part)
candidates.append(os.path.realpath(unwrap_venv_path(directory)))
if not candidates:
return None
common = os.path.commonpath(candidates)
return common if common != '/' else None
def rewrite_venv_command(command: str, host_path: str | None, *, mount_path: str = '/workspace') -> str:
"""Rewrite host venv interpreters to plain ``python`` inside the sandbox.
Once a project is mounted into the sandbox, host virtualenv paths are no
longer valid. For those paths we intentionally drop down to ``python`` and
let the sandbox-side environment/bootstrap decide what interpreter to use.
"""
if not host_path or not command:
return command
normalized_host = os.path.realpath(host_path)
normalized_command = os.path.realpath(command)
if not normalized_command.startswith(normalized_host + '/'):
return command
rel = normalized_command[len(normalized_host) + 1 :]
parts = rel.replace('\\', '/').split('/')
if len(parts) >= 3 and parts[0] in _VENV_DIRS and parts[1] in _VENV_BIN_DIRS and parts[2].startswith('python'):
return 'python'
return rewrite_mounted_path(normalized_command, host_path, mount_path=mount_path)
def list_python_manifest_files(host_path: str | None) -> list[str]:
normalized_root = normalize_host_path(host_path)
if not normalized_root:
return []
return [filename for filename in PYTHON_MANIFEST_FILES if os.path.isfile(os.path.join(normalized_root, filename))]
def classify_python_workspace(host_path: str | None) -> str | None:
"""Return the generic Python workspace shape, without app-specific policy."""
manifest_files = set(list_python_manifest_files(host_path))
if not manifest_files:
return None
if {'pyproject.toml', 'setup.py', 'setup.cfg'} & manifest_files:
return 'package'
if 'requirements.txt' in manifest_files:
return 'requirements'
return None
def should_prepare_python_env(host_path: str | None) -> bool:
normalized_root = normalize_host_path(host_path)
if not normalized_root:
return False
if os.path.isdir(os.path.join(normalized_root, '.venv')):
return True
return bool(list_python_manifest_files(normalized_root))
def wrap_python_command_with_env(command: str, *, mount_path: str = '/workspace') -> str:
"""Wrap a command with a reusable sandbox-local Python env bootstrap.
This is the generic "workspace is a Python project" path used by mutable
workspaces such as skills. Read-only installation strategies stay in the
higher-level caller because they are application policy, not workspace
semantics.
"""
bootstrap = textwrap.dedent(
f"""
set -e
_LB_VENV_DIR="{mount_path}/.venv"
_LB_META_DIR="{mount_path}/.langbot"
_LB_META_FILE="$_LB_META_DIR/python-env.json"
_LB_LOCK_DIR="$_LB_META_DIR/python-env.lock"
_LB_TMP_DIR="{mount_path}/.tmp"
_LB_PIP_CACHE_DIR="{mount_path}/.cache/pip"
mkdir -p "$_LB_META_DIR" "$_LB_TMP_DIR" "$_LB_PIP_CACHE_DIR"
export TMPDIR="$_LB_TMP_DIR"
export TEMP="$_LB_TMP_DIR"
export TMP="$_LB_TMP_DIR"
export PIP_CACHE_DIR="$_LB_PIP_CACHE_DIR"
_lb_python_meta() {{
python - <<'PY'
import hashlib
import json
import os
import sys
root = "{mount_path}"
digest = hashlib.sha256()
manifest_files = []
for rel in ("requirements.txt", "pyproject.toml", "setup.py", "setup.cfg"):
path = os.path.join(root, rel)
if not os.path.isfile(path):
continue
manifest_files.append(rel)
with open(path, "rb") as handle:
digest.update(rel.encode("utf-8"))
digest.update(b"\\0")
digest.update(handle.read())
digest.update(b"\\0")
print(
json.dumps(
{{
"python_executable": sys.executable,
"python_version": list(sys.version_info[:3]),
"manifest_files": manifest_files,
"manifest_sha256": digest.hexdigest(),
}},
sort_keys=True,
)
)
PY
}}
_LB_CURRENT_META="$(_lb_python_meta)"
_LB_NEEDS_BOOTSTRAP=0
if [ ! -x "$_LB_VENV_DIR/bin/python" ]; then
_LB_NEEDS_BOOTSTRAP=1
elif [ ! -f "$_LB_META_FILE" ]; then
_LB_NEEDS_BOOTSTRAP=1
elif [ "$(cat "$_LB_META_FILE")" != "$_LB_CURRENT_META" ]; then
_LB_NEEDS_BOOTSTRAP=1
fi
if [ "$_LB_NEEDS_BOOTSTRAP" -eq 1 ]; then
_LB_LOCK_WAIT=0
while ! mkdir "$_LB_LOCK_DIR" 2>/dev/null; do
if [ "$_LB_LOCK_WAIT" -ge 120 ]; then
echo "Timed out waiting for Python environment lock: $_LB_LOCK_DIR" >&2
exit 1
fi
sleep 1
_LB_LOCK_WAIT=$((_LB_LOCK_WAIT + 1))
done
_lb_cleanup_lock() {{
rmdir "$_LB_LOCK_DIR" >/dev/null 2>&1 || true
}}
trap _lb_cleanup_lock EXIT INT TERM
_LB_CURRENT_META="$(_lb_python_meta)"
_LB_NEEDS_BOOTSTRAP=0
if [ ! -x "$_LB_VENV_DIR/bin/python" ]; then
_LB_NEEDS_BOOTSTRAP=1
elif [ ! -f "$_LB_META_FILE" ]; then
_LB_NEEDS_BOOTSTRAP=1
elif [ "$(cat "$_LB_META_FILE")" != "$_LB_CURRENT_META" ]; then
_LB_NEEDS_BOOTSTRAP=1
fi
if [ "$_LB_NEEDS_BOOTSTRAP" -eq 1 ]; then
rm -rf "$_LB_VENV_DIR"
python -m venv "$_LB_VENV_DIR"
. "$_LB_VENV_DIR/bin/activate"
python -m pip install --upgrade pip setuptools wheel
if [ -f "{mount_path}/requirements.txt" ]; then
python -m pip install -r "{mount_path}/requirements.txt"
elif [ -f "{mount_path}/pyproject.toml" ] || [ -f "{mount_path}/setup.py" ] || [ -f "{mount_path}/setup.cfg" ]; then
python -m pip install "{mount_path}"
fi
printf '%s' "$_LB_CURRENT_META" > "$_LB_META_FILE"
fi
fi
export VIRTUAL_ENV="$_LB_VENV_DIR"
export PATH="$_LB_VENV_DIR/bin:$PATH"
{command}
"""
).strip()
return bootstrap + '\n'
class BoxWorkspaceSession:
"""High-level handle for one reusable workspace-backed Box session.
The Box runtime already understands sessions and managed processes. This
wrapper adds LangBot's workspace-centric view on top: a mounted host path,
a stable ``session_id``, optional environment defaults, and convenience
helpers for exec or long-running processes inside that workspace.
"""
def __init__(
self,
box_service,
session_id: str,
*,
host_path: str | None = None,
host_path_mode: str = 'rw',
workdir: str = '/workspace',
env: dict[str, str] | None = None,
mount_path: str = '/workspace',
network: str | None = None,
read_only_rootfs: bool | None = None,
image: str | None = None,
cpus: float | None = None,
memory_mb: int | None = None,
pids_limit: int | None = None,
persistent: bool = False,
):
self.box_service = box_service
self.session_id = session_id
self.host_path = host_path
self.host_path_mode = host_path_mode
self.workdir = workdir
self.env = dict(env or {})
self.mount_path = mount_path
self.network = network
self.read_only_rootfs = read_only_rootfs
self.image = image
self.cpus = cpus
self.memory_mb = memory_mb
self.pids_limit = pids_limit
self.persistent = persistent
def rewrite_path(self, path: str) -> str:
return rewrite_mounted_path(path, self.host_path, mount_path=self.mount_path)
def rewrite_venv_command(self, command: str) -> str:
return rewrite_venv_command(command, self.host_path, mount_path=self.mount_path)
def build_session_payload(self) -> dict[str, Any]:
# Keep this payload generic so callers can reuse the same workspace
# handle for plain exec, file-producing tasks, or managed processes.
payload: dict[str, Any] = {
'session_id': self.session_id,
'workdir': self.workdir,
'env': self.env,
'persistent': self.persistent,
}
if self.network is not None:
payload['network'] = self.network
if self.read_only_rootfs is not None:
payload['read_only_rootfs'] = self.read_only_rootfs
if self.host_path:
payload['host_path'] = self.host_path
payload['host_path_mode'] = self.host_path_mode
for key in ('image', 'cpus', 'memory_mb', 'pids_limit'):
value = getattr(self, key)
if value is not None:
payload[key] = value
return payload
def build_exec_payload(
self,
cmd: str,
*,
workdir: str | None = None,
env: dict[str, str] | None = None,
timeout_sec: int | None = None,
) -> dict[str, Any]:
# Exec payloads inherit the session-level workspace config, then layer
# per-call command/workdir/env overrides on top.
payload = self.build_session_payload()
payload['cmd'] = cmd
payload['workdir'] = workdir or self.workdir
if timeout_sec is not None:
payload['timeout_sec'] = timeout_sec
resolved_env = self.env if env is None else env
if resolved_env:
payload['env'] = resolved_env
elif 'env' in payload and not payload['env']:
payload.pop('env')
return payload
async def execute_raw(
self,
cmd: str,
*,
workdir: str | None = None,
env: dict[str, str] | None = None,
timeout_sec: int | None = None,
):
payload = self.build_exec_payload(cmd, workdir=workdir, env=env, timeout_sec=timeout_sec)
return await self.box_service.client.execute(self.box_service.build_spec(payload))
async def execute_for_query(
self,
query,
cmd: str,
*,
workdir: str | None = None,
env: dict[str, str] | None = None,
timeout_sec: int | None = None,
) -> dict:
payload = self.build_exec_payload(cmd, workdir=workdir, env=env, timeout_sec=timeout_sec)
return await self.box_service.execute_spec_payload(payload, query)
async def create_session(self):
return await self.box_service.create_session(self.build_session_payload())
def build_process_payload(
self,
command: str,
args: list[str] | None = None,
*,
env: dict[str, str] | None = None,
cwd: str = '/workspace',
) -> dict[str, Any]:
# Managed processes run inside the same workspace model as one-shot
# execs, so path/venv rewriting is shared here.
normalized_command = command
normalized_args = list(args or [])
normalized_cwd = cwd
if self.host_path:
normalized_command = self.rewrite_venv_command(command)
normalized_args = [self.rewrite_path(arg) for arg in normalized_args]
normalized_cwd = self.rewrite_path(cwd)
return {
'command': normalized_command,
'args': normalized_args,
'env': dict(env or {}),
'cwd': normalized_cwd,
}
async def start_managed_process(
self,
command: str,
args: list[str] | None = None,
*,
process_id: str = 'default',
env: dict[str, str] | None = None,
cwd: str = '/workspace',
):
payload = self.build_process_payload(command, args, env=env, cwd=cwd)
payload['process_id'] = process_id
return await self.box_service.start_managed_process(self.session_id, payload)
async def get_managed_process(self, process_id: str = 'default'):
return await self.box_service.get_managed_process(self.session_id, process_id)
async def stop_managed_process(self, process_id: str = 'default') -> None:
await self.box_service.stop_managed_process(self.session_id, process_id)
def get_managed_process_websocket_url(self, process_id: str = 'default') -> str:
return self.box_service.get_managed_process_websocket_url(self.session_id, process_id)
async def cleanup(self) -> None:
await self.box_service.client.delete_session(self.session_id)

View File

@@ -9,7 +9,6 @@ from ..platform import botmgr as im_mgr
from ..platform.webhook_pusher import WebhookPusher
from ..provider.session import sessionmgr as llm_session_mgr
from ..provider.modelmgr import modelmgr as llm_model_mgr
from ..box import service as box_service_module
from langbot.pkg.provider.tools import toolmgr as llm_tool_mgr
from ..config import manager as config_mgr
@@ -32,8 +31,8 @@ from ..api.http.service import mcp as mcp_service
from ..api.http.service import apikey as apikey_service
from ..api.http.service import webhook as webhook_service
from ..api.http.service import monitoring as monitoring_service
from ..api.http.service import skill as skill_service
from ..api.http.service import maintenance as maintenance_service
from ..discover import engine as discover_engine
from ..storage import mgr as storagemgr
from ..utils import logcache
@@ -44,7 +43,6 @@ from ..rag.service import RAGRuntimeService
from ..vector import mgr as vectordb_mgr
from ..telemetry import telemetry as telemetry_module
from ..survey import manager as survey_module
from ..skill import manager as skill_mgr
class Application:
@@ -72,7 +70,6 @@ class Application:
# TODO move to pipeline
tool_mgr: llm_tool_mgr.ToolManager = None
box_service: box_service_module.BoxService = None
# ======= Config manager =======
@@ -159,10 +156,6 @@ class Application:
monitoring_service: monitoring_service.MonitoringService = None
skill_service: skill_service.SkillService = None
skill_mgr: skill_mgr.SkillManager = None
maintenance_service: maintenance_service.MaintenanceService = None
def __init__(self):
@@ -308,10 +301,7 @@ class Application:
return parsed
def dispose(self):
if self.plugin_connector is not None:
self.plugin_connector.dispose()
if self.box_service is not None:
self.box_service.dispose()
self.plugin_connector.dispose()
async def print_web_access_info(self):
"""Print access webui tips"""

View File

@@ -62,6 +62,4 @@ async def main(loop: asyncio.AbstractEventLoop):
app_inst = await make_app(loop)
await app_inst.run()
except Exception:
if app_inst is not None:
app_inst.dispose()
traceback.print_exc()

View File

@@ -6,7 +6,6 @@ from .. import stage, app
from ...utils import version, proxy
from ...pipeline import pool, controller, pipelinemgr
from ...pipeline import aggregator as message_aggregator
from ...box import service as box_service
from ...plugin import connector as plugin_connector
from ...command import cmdmgr
from ...provider.session import sessionmgr as llm_session_mgr
@@ -29,8 +28,6 @@ from ...api.http.service import mcp as mcp_service
from ...api.http.service import apikey as apikey_service
from ...api.http.service import webhook as webhook_service
from ...api.http.service import monitoring as monitoring_service
from ...api.http.service import skill as skill_service
from ...skill import manager as skill_mgr
from ...api.http.service import maintenance as maintenance_service
from ...discover import engine as discover_engine
from ...storage import mgr as storagemgr
@@ -89,9 +86,6 @@ class BuildAppStage(stage.BootingStage):
webhook_service_inst = webhook_service.WebhookService(ap)
ap.webhook_service = webhook_service_inst
skill_service_inst = skill_service.SkillService(ap)
ap.skill_service = skill_service_inst
proxy_mgr = proxy.ProxyManager(ap)
await proxy_mgr.initialize()
ap.proxy_mgr = proxy_mgr
@@ -135,10 +129,6 @@ class BuildAppStage(stage.BootingStage):
await llm_session_mgr_inst.initialize()
ap.sess_mgr = llm_session_mgr_inst
box_service_inst = box_service.BoxService(ap)
await box_service_inst.initialize()
ap.box_service = box_service_inst
llm_tool_mgr_inst = llm_tool_mgr.ToolManager(ap)
await llm_tool_mgr_inst.initialize()
ap.tool_mgr = llm_tool_mgr_inst
@@ -159,11 +149,6 @@ class BuildAppStage(stage.BootingStage):
msg_aggregator_inst = message_aggregator.MessageAggregator(ap)
ap.msg_aggregator = msg_aggregator_inst
# Initialize skill manager
skill_mgr_inst = skill_mgr.SkillManager(ap)
await skill_mgr_inst.initialize()
ap.skill_mgr = skill_mgr_inst
rag_mgr_inst = rag_mgr.RAGManager(ap)
await rag_mgr_inst.initialize()
ap.rag_mgr = rag_mgr_inst

View File

@@ -32,9 +32,6 @@ class PreProcessor(stage.PipelineStage):
) -> entities.StageProcessResult:
"""Process"""
selected_runner = query.pipeline_config['ai']['runner']['runner']
include_skill_authoring = (
selected_runner == 'local-agent' and getattr(self.ap, 'skill_service', None) is not None
)
session = await self.ap.sess_mgr.get_session(query)
@@ -113,11 +110,7 @@ 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(
bound_plugins,
bound_mcp_servers,
include_skill_authoring=include_skill_authoring,
)
query.use_funcs = await self.ap.tool_mgr.get_all_tools(bound_plugins, bound_mcp_servers)
self.ap.logger.debug(f'Bound plugins: {bound_plugins}')
self.ap.logger.debug(f'Bound MCP servers: {bound_mcp_servers}')
@@ -128,11 +121,7 @@ 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(
bound_plugins,
bound_mcp_servers,
include_skill_authoring=include_skill_authoring,
)
query.use_funcs = await self.ap.tool_mgr.get_all_tools(bound_plugins, bound_mcp_servers)
sender_name = ''
@@ -248,67 +237,4 @@ class PreProcessor(stage.PipelineStage):
query.prompt.messages = event_ctx.event.default_prompt
query.messages = event_ctx.event.prompt
# =========== Skill awareness for the local-agent runner ===========
# The actual activation goes through the ``activate`` Tool Call so the
# LLM doesn't see full SKILL.md instructions until it commits to a
# skill (Claude Code's progressive disclosure). But the LLM still has
# to KNOW which skills exist to make that choice, so we:
# 1. resolve the pipeline's bound skills and stash them in
# ``query.variables['_pipeline_bound_skills']`` for downstream
# visibility checks (skill loader, native exec workdir);
# 2. inject a short ``Available Skills`` index (name + description
# only) into the system prompt. The contributor's original PR
# relied on this injection; without it the LLM never discovers
# the skills are there and just calls native tools instead.
if selected_runner == 'local-agent' and self.ap.skill_mgr:
pipeline_data = await self.ap.pipeline_service.get_pipeline(query.pipeline_uuid)
extensions_prefs = (pipeline_data or {}).get('extensions_preferences', {})
enable_all_skills = extensions_prefs.get('enable_all_skills', True)
if enable_all_skills:
bound_skills = None # None = all loaded skills are visible
else:
bound_skills = extensions_prefs.get('skills', [])
query.variables['_pipeline_bound_skills'] = bound_skills
skill_addition = self.ap.skill_mgr.build_skill_aware_prompt_addition(
bound_skills=bound_skills,
)
if skill_addition:
# Append to the first system message; create one if the
# prompt has none. Handles both plain-string and
# content-element (list) message bodies.
if query.prompt.messages and query.prompt.messages[0].role == 'system':
head = query.prompt.messages[0]
if isinstance(head.content, str):
head.content = head.content + skill_addition
elif isinstance(head.content, list):
appended = False
for ce in head.content:
if getattr(ce, 'type', None) == 'text':
ce.text = (ce.text or '') + skill_addition
appended = True
break
if not appended:
head.content.append(provider_message.ContentElement(type='text', text=skill_addition))
else:
query.prompt.messages.insert(
0,
provider_message.Message(role='system', content=skill_addition.strip()),
)
self.ap.logger.debug(
f'Skill index injected into system prompt: '
f'pipeline={query.pipeline_uuid} '
f'bound_skills={bound_skills or "all"} '
f'loaded_skills={len(self.ap.skill_mgr.skills)}'
)
else:
self.ap.logger.debug(
f'No skills available for prompt injection: '
f'pipeline={query.pipeline_uuid} '
f'loaded_skills={len(self.ap.skill_mgr.skills)} '
f'bound_skills={bound_skills}'
)
return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)

View File

@@ -5,7 +5,6 @@ import abc
from ...core import app
from .. import entities
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
import langbot_plugin.api.entities.builtin.provider.message as provider_message
class MessageHandler(metaclass=abc.ABCMeta):
@@ -32,29 +31,3 @@ class MessageHandler(metaclass=abc.ABCMeta):
if len(s0) > 20 or '\n' in s:
s0 = s0[:20] + '...'
return s0
def format_result_log(
self,
result: provider_message.Message | provider_message.MessageChunk,
) -> str | None:
if result.tool_calls:
tool_names = [tc.function.name for tc in result.tool_calls if tc.function and tc.function.name]
if tool_names:
return f'{result.role}: requested tools: {", ".join(tool_names)}'
return f'{result.role}: requested tool calls'
content = result.content
if isinstance(content, str):
if not content.strip():
return None
if result.role == 'tool':
if content.startswith('err:'):
return f'tool error: {self.cut_str(content)}'
return self.cut_str(result.readable_str())
if isinstance(content, list) and len(content) == 0:
return None
return self.cut_str(result.readable_str())

View File

@@ -113,11 +113,9 @@ class ChatMessageHandler(handler.MessageHandler):
# This prevents memory overflow from thousands of log entries per conversation
# First chunk uses INFO level to confirm connection establishment
if chunk_count == 1:
summary = self.format_result_log(result)
if summary is not None:
self.ap.logger.info(f'Conversation({query.query_id}) Streaming started: {summary}')
else:
self.ap.logger.info(f'Conversation({query.query_id}) Streaming started')
self.ap.logger.info(
f'Conversation({query.query_id}) Streaming started: {self.cut_str(result.readable_str())}'
)
elif chunk_count % 10 == 0:
self.ap.logger.debug(
f'Conversation({query.query_id}) Streaming chunk {chunk_count}: {self.cut_str(result.readable_str())}'
@@ -137,9 +135,9 @@ class ChatMessageHandler(handler.MessageHandler):
async for result in runner.run(query):
query.resp_messages.append(result)
summary = self.format_result_log(result)
if summary is not None:
self.ap.logger.info(f'Conversation({query.query_id}) Response: {summary}')
self.ap.logger.info(
f'Conversation({query.query_id}) Response: {self.cut_str(result.readable_str())}'
)
if result.content is not None:
text_length += len(result.content)

View File

@@ -18,7 +18,6 @@ from langbot_plugin.api.entities.builtin.pipeline.query import provider_session
from ..core import app
from . import handler
from ..utils import platform
from ..utils.managed_runtime import ManagedRuntimeConnector
from langbot_plugin.runtime.io.controllers.stdio import (
client as stdio_client_controller,
)
@@ -40,9 +39,11 @@ class PluginRuntimeNotConnectedError(RuntimeError):
"""Raised when plugin runtime operations are requested before connection."""
class PluginRuntimeConnector(ManagedRuntimeConnector):
class PluginRuntimeConnector:
"""Plugin runtime connector"""
ap: app.Application
handler: handler.RuntimeConnectionHandler
handler_task: asyncio.Task
@@ -53,6 +54,10 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):
ctrl: stdio_client_controller.StdioClientController | ws_client_controller.WebSocketClientController
runtime_subprocess_on_windows: asyncio.subprocess.Process | None = None
runtime_subprocess_on_windows_task: asyncio.Task | None = None
runtime_disconnect_callback: typing.Callable[
[PluginRuntimeConnector], typing.Coroutine[typing.Any, typing.Any, None]
]
@@ -67,7 +72,7 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):
[PluginRuntimeConnector], typing.Coroutine[typing.Any, typing.Any, None]
],
):
super().__init__(ap)
self.ap = ap
self.runtime_disconnect_callback = runtime_disconnect_callback
self.is_enable_plugin = self.ap.instance_config.data.get('plugin', {}).get('enable', True)
@@ -103,16 +108,6 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):
self.handler_task = asyncio.create_task(self.handler.run())
_ = await self.handler.ping()
# Push the configured marketplace (Space) URL to the runtime so it
# downloads plugins from the same Space LangBot is bound to, rather
# than relying on the runtime's own env/default.
space_url = self.ap.instance_config.data.get('space', {}).get('url', '').rstrip('/')
if space_url:
try:
await self.handler.set_runtime_config(cloud_service_url=space_url)
self.ap.logger.info(f'Pushed marketplace URL to plugin runtime: {space_url}')
except Exception as e:
self.ap.logger.warning(f'Failed to push runtime config: {e}')
self.ap.logger.info('Connected to plugin runtime.')
await self.handler_task
@@ -145,7 +140,19 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):
# We have to launch runtime via cmd but communicate via ws.
self.ap.logger.info('(windows) use cmd to launch plugin runtime and communicate via ws')
await self._start_runtime_subprocess('-m', 'langbot_plugin.cli.__init__', 'rt')
if self.runtime_subprocess_on_windows is None: # only launch once
python_path = sys.executable
env = os.environ.copy()
self.runtime_subprocess_on_windows = await asyncio.create_subprocess_exec(
python_path,
'-m',
'langbot_plugin.cli.__init__',
'rt',
env=env,
)
# hold the process
self.runtime_subprocess_on_windows_task = asyncio.create_task(self.runtime_subprocess_on_windows.wait())
ws_url = 'ws://localhost:5400/control/ws'
@@ -229,81 +236,6 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):
return plugin_author, plugin_name
async def _install_mcp_from_marketplace(
self,
mcp_data: dict[str, Any],
task_context: taskmgr.TaskContext | None = None,
):
"""Install an MCP server from marketplace data.
Marketplace MCP records carry the runtime-ready ``mode`` and
``extra_args`` directly (the same shape LangBot stores in
``mcp_servers``), so they are used as-is rather than reconstructed.
For ``stdio`` this preserves ``command``/``args``/``env``/``box``;
for ``http``/``sse`` it preserves ``url``/``headers``/``timeout``/
``ssereadtimeout``.
"""
from ..entity.persistence import mcp as persistence_mcp
import uuid
mode = mcp_data.get('mode') or 'stdio'
extra_args = mcp_data.get('extra_args') or {}
# Use __ instead of / to avoid URL routing issues with slashes
name = f'{mcp_data.get("author", "")}__{mcp_data.get("name", "")}'
# Check if MCP server already exists
existing = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(persistence_mcp.MCPServer).where(persistence_mcp.MCPServer.name == name)
)
if existing.scalar_one_or_none():
self.ap.logger.info(f'MCP server {name} already exists, skipping installation')
return
# Create MCP server record
server_uuid = str(uuid.uuid4())
server_data = {
'uuid': server_uuid,
'name': name,
'enable': True,
'mode': mode,
'extra_args': extra_args,
}
await self.ap.persistence_mgr.execute_async(sqlalchemy.insert(persistence_mcp.MCPServer).values(server_data))
# Start the MCP server
result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(persistence_mcp.MCPServer).where(persistence_mcp.MCPServer.uuid == server_uuid)
)
server_entity = result.first()
if server_entity:
server_config = self.ap.persistence_mgr.serialize_model(persistence_mcp.MCPServer, server_entity)
if self.ap.tool_mgr.mcp_tool_loader:
mcp_task = asyncio.create_task(self.ap.tool_mgr.mcp_tool_loader.host_mcp_server(server_config))
self.ap.tool_mgr.mcp_tool_loader._hosted_mcp_tasks.append(mcp_task)
self.ap.logger.info(f'Installed MCP server {name} from marketplace')
async def _install_skill_from_zip(
self,
file_bytes: bytes,
filename: str,
task_context: taskmgr.TaskContext | None = None,
):
"""Install a skill from marketplace ZIP data."""
from ..api.http.service.skill import SkillService
skill_service = SkillService(self.ap)
self.ap.logger.info(f'Installing skill from marketplace ZIP ({len(file_bytes)} bytes)')
# Install from ZIP using skill service
result = await skill_service.install_from_zip_upload(
file_bytes=file_bytes,
filename=filename + '.zip',
)
self.ap.logger.info(f'Skill installed successfully: {result}')
def _build_plugin_startup_failure_message(
self,
plugin_author: str,
@@ -366,117 +298,6 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):
plugin_author = install_info.get('plugin_author')
plugin_name = install_info.get('plugin_name')
if install_source == PluginInstallSource.MARKETPLACE:
# Handle marketplace plugin/mcp/skill installation
plugin_author = install_info.get('plugin_author', '')
plugin_name = install_info.get('plugin_name', '')
space_url = (
self.ap.instance_config.data.get('space', {}).get('url', 'https://space.langbot.app').rstrip('/')
)
# Try MCP endpoint first
async with httpx.AsyncClient(trust_env=True, timeout=15) as client:
mcp_resp = await client.get(f'{space_url}/api/v1/marketplace/mcps/{plugin_author}/{plugin_name}')
if mcp_resp.status_code == 200:
mcp_data = mcp_resp.json().get('data', {}).get('mcp', {})
if mcp_data.get('mode'):
# It's an MCP - create server locally
self.ap.logger.info(f'Installing MCP from marketplace: {plugin_author}/{plugin_name}')
if task_context:
task_context.set_current_action('installing mcp server')
await self._install_mcp_from_marketplace(mcp_data, task_context)
# Best-effort install report (bumps marketplace install_count).
try:
await client.post(
f'{space_url}/api/v1/marketplace/mcps/{plugin_author}/{plugin_name}/install'
)
except Exception as report_err:
self.ap.logger.debug(f'Failed to report MCP install: {report_err}')
return
else:
raise Exception(f'MCP {plugin_author}/{plugin_name} has no mode')
elif mcp_resp.status_code == 404:
# Try skill endpoint - download ZIP and install
self.ap.logger.info(f'Trying skill endpoint for: {plugin_author}/{plugin_name}')
if task_context:
task_context.set_current_action('checking skill marketplace')
# Get skill detail to find version
skill_resp = await client.get(
f'{space_url}/api/v1/marketplace/skills/{plugin_author}/{plugin_name}'
)
if skill_resp.status_code == 200:
self.ap.logger.info(f'Installing skill from marketplace: {plugin_author}/{plugin_name}')
if task_context:
task_context.set_current_action('installing skill from marketplace')
# Download the skill ZIP (no version needed - uses latest)
if task_context:
task_context.set_current_action('downloading skill package')
download_resp = await client.get(
f'{space_url}/api/v1/marketplace/skills/download/{plugin_author}/{plugin_name}'
)
if download_resp.status_code != 200:
raise Exception(
f'Failed to download skill {plugin_author}/{plugin_name}: {download_resp.status_code}'
)
file_bytes = download_resp.content
file_size = len(file_bytes)
self.ap.logger.info(f'Downloaded skill ZIP ({file_size} bytes)')
# Install skill from ZIP using skill service
await self._install_skill_from_zip(file_bytes, f'{plugin_author}-{plugin_name}', task_context)
return
elif skill_resp.status_code == 404:
# Try plugin endpoint - get versions and download
self.ap.logger.info(f'Trying plugin endpoint for: {plugin_author}/{plugin_name}')
if task_context:
task_context.set_current_action('checking plugin marketplace')
# Get plugin versions to find latest
versions_resp = await client.get(
f'{space_url}/api/v1/marketplace/plugins/{plugin_author}/{plugin_name}/versions'
)
if versions_resp.status_code == 200:
versions_data = versions_resp.json().get('data', {}).get('versions', [])
if versions_data:
latest_version = versions_data[0].get('version', '')
if latest_version:
self.ap.logger.info(
f'Installing plugin from marketplace: {plugin_author}/{plugin_name} v{latest_version}'
)
if task_context:
task_context.set_current_action('downloading plugin package')
download_resp = await client.get(
f'{space_url}/api/v1/marketplace/plugins/download/{plugin_author}/{plugin_name}/{latest_version}'
)
if download_resp.status_code != 200:
raise Exception(
f'Failed to download plugin {plugin_author}/{plugin_name}: {download_resp.status_code}'
)
file_bytes = download_resp.content
self._extract_deps_metadata(file_bytes, task_context)
file_key = await self.handler.send_file(file_bytes, 'lbpkg')
install_info['plugin_file_key'] = file_key
self.ap.logger.info(f'Transfered file {file_key} to plugin runtime')
# Continue to install via runtime
else:
raise Exception(f'No version found for plugin {plugin_author}/{plugin_name}')
else:
raise Exception(f'Plugin {plugin_author}/{plugin_name} has no versions')
else:
raise Exception(f'Plugin {plugin_author}/{plugin_name} not found in marketplace')
else:
skill_resp.raise_for_status()
raise Exception(f'Failed to get skill {plugin_author}/{plugin_name}')
else:
mcp_resp.raise_for_status()
raise Exception(f'Failed to get MCP {plugin_author}/{plugin_name}')
if install_source == PluginInstallSource.LOCAL:
# transfer file before install
file_bytes = install_info['plugin_file']
@@ -792,18 +613,13 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):
return await self.handler.retrieve_knowledge(plugin_author, plugin_name, retriever_name, retrieval_context)
def dispose(self):
# On non-Windows stdio mode, terminate via the controller's process handle.
# On Windows, the managed subprocess is cleaned up by the base class.
if (
self.is_enable_plugin
and hasattr(self, 'ctrl')
and isinstance(self.ctrl, stdio_client_controller.StdioClientController)
):
# No need to consider the shutdown on Windows
# for Windows can kill processes and subprocesses chainly
if self.is_enable_plugin and isinstance(self.ctrl, stdio_client_controller.StdioClientController):
self.ap.logger.info('Terminating plugin runtime process...')
self.ctrl.process.terminate()
self._dispose_subprocess()
if self.heartbeat_task is not None:
self.heartbeat_task.cancel()
self.heartbeat_task = None

View File

@@ -779,16 +779,6 @@ class RuntimeConnectionHandler(handler.Handler):
timeout=10,
)
async def set_runtime_config(self, cloud_service_url: str) -> dict[str, Any]:
"""Push runtime configuration (e.g. marketplace URL) to the runtime."""
return await self.call_action(
LangBotToRuntimeAction.SET_RUNTIME_CONFIG,
{
'cloud_service_url': cloud_service_url,
},
timeout=10,
)
async def install_plugin(
self, install_source: str, install_info: dict[str, Any]
) -> typing.AsyncGenerator[dict[str, Any], None]:

View File

@@ -2,12 +2,8 @@ from __future__ import annotations
import abc
import typing
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from ..core import app
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
import langbot_plugin.api.entities.builtin.provider.message as provider_message
from ..core import app
preregistered_runners: list[typing.Type[RequestRunner]] = []
@@ -39,7 +35,7 @@ class RequestRunner(abc.ABC):
@abc.abstractmethod
async def run(
self, query: pipeline_query.Query
) -> typing.AsyncGenerator[provider_message.Message | provider_message.MessageChunk, None]:
self, query: core_entities.Query
) -> typing.AsyncGenerator[llm_entities.Message | llm_entities.MessageChunk, None]:
"""运行请求"""
pass

View File

@@ -5,7 +5,6 @@ import copy
import typing
from .. import runner
from ..modelmgr import requester as modelmgr_requester
from ..tools.loaders.native import EXEC_TOOL_NAME
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
import langbot_plugin.api.entities.builtin.provider.message as provider_message
import langbot_plugin.api.entities.builtin.rag.context as rag_context
@@ -25,44 +24,11 @@ Respond in the same language as the user's input.
</user_message>
"""
SANDBOX_EXEC_TOOL_NAME = 'sandbox_exec'
SANDBOX_EXEC_SYSTEM_GUIDANCE = (
'When sandbox_exec is available, use it for exact calculations, statistics, structured data parsing, '
'and code execution instead of estimating mentally. If the user provides numbers, tables, CSV-like text, '
'JSON, or other data and asks for a computed answer, prefer running a short Python script in sandbox_exec '
'and then answer from the tool result.'
)
# Hard cap on tool-call rounds within a single agent turn. A looping or
# adversarial model can otherwise emit tool calls indefinitely (each potentially
# a sandbox exec), yielding a non-terminating request and runaway cost. Set
# generously so it never interrupts legitimate multi-step agentic workflows.
MAX_TOOL_CALL_ROUNDS = 128
@runner.runner_class('local-agent')
class LocalAgentRunner(runner.RequestRunner):
"""Local agent request runner"""
def _build_request_messages(
self,
query: pipeline_query.Query,
user_message: provider_message.Message,
) -> list[provider_message.Message]:
req_messages = query.prompt.messages.copy() + query.messages.copy()
if any(getattr(tool, 'name', None) == EXEC_TOOL_NAME for tool in query.use_funcs or []):
req_messages.append(
provider_message.Message(
role='system',
content=self.ap.box_service.get_system_guidance(),
)
)
req_messages.append(user_message)
return req_messages
async def _get_model_candidates(
self,
query: pipeline_query.Query,
@@ -165,7 +131,6 @@ class LocalAgentRunner(runner.RequestRunner):
) -> typing.AsyncGenerator[provider_message.Message | provider_message.MessageChunk, None]:
"""Run request"""
pending_tool_calls = []
initial_response_emitted = False
# Get knowledge bases list from query variables (set by PreProcessor,
# may have been modified by plugins during PromptPreProcessing)
@@ -271,7 +236,7 @@ class LocalAgentRunner(runner.RequestRunner):
ce.text = final_user_message_text
break
req_messages = self._build_request_messages(query, user_message)
req_messages = query.prompt.messages.copy() + query.messages.copy() + [user_message]
try:
is_stream = await query.adapter.is_stream_output_supported()
@@ -299,6 +264,7 @@ class LocalAgentRunner(runner.RequestRunner):
query.use_funcs,
remove_think,
)
yield msg
final_msg = msg
else:
# Streaming: invoke with fallback
@@ -346,7 +312,6 @@ class LocalAgentRunner(runner.RequestRunner):
is_final=msg.is_final,
msg_sequence=msg_sequence,
)
initial_response_emitted = True
final_msg = provider_message.MessageChunk(
role=last_role,
@@ -360,25 +325,11 @@ class LocalAgentRunner(runner.RequestRunner):
if isinstance(final_msg, provider_message.MessageChunk):
first_end_sequence = final_msg.msg_sequence
if not is_stream:
yield final_msg
elif not initial_response_emitted:
yield final_msg
initial_response_emitted = True
req_messages.append(final_msg)
# Once a model succeeds, commit to it for the tool call loop
# (no fallback mid-conversation — different models may interpret tool results differently)
tool_call_round = 0
while pending_tool_calls:
tool_call_round += 1
if tool_call_round > MAX_TOOL_CALL_ROUNDS:
self.ap.logger.warning(
f'Tool-call loop reached the {MAX_TOOL_CALL_ROUNDS}-round cap '
f'(query_id={query.query_id}); stopping to avoid a non-terminating request.'
)
break
for tool_call in pending_tool_calls:
try:
func = tool_call.function
@@ -418,15 +369,7 @@ class LocalAgentRunner(runner.RequestRunner):
req_messages.append(msg)
except Exception as e:
if is_stream:
err_msg = provider_message.MessageChunk(
role='tool',
content=f'err: {e}',
tool_call_id=tool_call.id,
is_final=True,
)
else:
err_msg = provider_message.Message(role='tool', content=f'err: {e}', tool_call_id=tool_call.id)
err_msg = provider_message.Message(role='tool', content=f'err: {e}', tool_call_id=tool_call.id)
yield err_msg

View File

@@ -2,13 +2,11 @@ from __future__ import annotations
import abc
import typing
from typing import TYPE_CHECKING
from langbot_plugin.api.entities.events import pipeline_query
import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
if TYPE_CHECKING:
from ...core import app
from ...core import app
import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
preregistered_loaders: list[typing.Type[ToolLoader]] = []

View File

@@ -20,7 +20,6 @@ from ....core import app
import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
import langbot_plugin.api.entities.builtin.provider.message as provider_message
from ....entity.persistence import mcp as persistence_mcp
from .mcp_stdio import BoxStdioSessionRuntime, MCPServerBoxConfig, MCPSessionErrorPhase # noqa: F401
class MCPSessionStatus(enum.Enum):
@@ -59,12 +58,6 @@ class RuntimeMCPSession:
error_message: str | None = None
error_phase: MCPSessionErrorPhase | None = None
retry_count: int = 0
_box_stdio_runtime: BoxStdioSessionRuntime
def __init__(self, server_name: str, server_config: dict, enable: bool, ap: app.Application):
self.server_name = server_name
self.server_uuid = server_config.get('uuid', '')
@@ -82,33 +75,7 @@ class RuntimeMCPSession:
self._shutdown_event = asyncio.Event()
self._ready_event = asyncio.Event()
self._box_stdio_runtime = BoxStdioSessionRuntime(self)
self.box_config = self._box_stdio_runtime.config
async def _init_stdio_python_server(self):
if self._uses_box_stdio():
await self._box_stdio_runtime.initialize()
return
# Box is configured (ap.box_service exists) but currently unavailable
# (disabled by config or connection failed). Refuse stdio MCP rather
# than silently falling through to host-stdio — the operator asked
# for the sandbox and the failure mode should be visible.
#
# Set ``error_phase = BOX_UNAVAILABLE`` BEFORE raising so the retry
# wrapper can short-circuit (retrying is pointless when Box is
# deliberately off) and the frontend can render a localized,
# actionable message instead of this raw RuntimeError. Keep the
# message itself short — the frontend ignores it for this phase.
box_service = getattr(self.ap, 'box_service', None)
if box_service is not None and not getattr(box_service, 'available', False):
self.error_phase = MCPSessionErrorPhase.BOX_UNAVAILABLE
if not getattr(box_service, 'enabled', True):
raise RuntimeError('box_disabled_in_config')
raise RuntimeError('box_unavailable')
# Legacy: no box_service installed at all (pre-Box dev mode). Fall
# through to host-stdio for backward compatibility.
server_params = StdioServerParameters(
command=self.server_config['command'],
args=self.server_config['args'],
@@ -123,9 +90,6 @@ class RuntimeMCPSession:
await self.session.initialize()
async def _init_box_stdio_server(self):
await self._box_stdio_runtime.initialize()
async def _init_sse_server(self):
sse_transport = await self.exit_stack.enter_async_context(
sse_client(
@@ -160,11 +124,8 @@ class RuntimeMCPSession:
await self.session.initialize()
_MAX_RETRIES = 3
_RETRY_DELAYS = [2, 4, 8]
async def _lifecycle_loop(self):
"""Manage the full MCP session lifecycle in a background task."""
"""在后台任务中管理整个MCP会话的生命周期"""
try:
if self.server_config['mode'] == 'stdio':
await self._init_stdio_python_server()
@@ -173,109 +134,49 @@ class RuntimeMCPSession:
elif self.server_config['mode'] == 'http':
await self._init_streamable_http_server()
else:
raise ValueError(f'Unknown MCP server mode: {self.server_name}: {self.server_config}')
raise ValueError(f'无法识别 MCP 服务器类型: {self.server_name}: {self.server_config}')
await self.refresh()
self.status = MCPSessionStatus.CONNECTED
# Notify start() that connection is established
# 通知start()方法连接已建立
self._ready_event.set()
# Wait for shutdown signal, with optional health monitoring for Box stdio
if self._uses_box_stdio():
monitor_task = asyncio.create_task(self._box_stdio_runtime.monitor_process_health())
shutdown_task = asyncio.create_task(self._shutdown_event.wait())
done, pending = await asyncio.wait(
[shutdown_task, monitor_task],
return_when=asyncio.FIRST_COMPLETED,
)
for task in pending:
task.cancel()
for task in done:
if task is monitor_task and not self._shutdown_event.is_set():
self.error_phase = MCPSessionErrorPhase.RUNTIME
raise Exception('Box managed process exited unexpectedly')
else:
await self._shutdown_event.wait()
# 等待shutdown信号
await self._shutdown_event.wait()
except Exception as e:
self.status = MCPSessionStatus.ERROR
self.error_message = str(e)
self.ap.logger.error(f'Error in MCP session lifecycle {self.server_name}: {e}\n{traceback.format_exc()}')
# Do NOT set _ready_event here — let _lifecycle_loop_with_retry
# handle retries first. It will set the event when all retries
# are exhausted or on success.
raise # Re-raise so _lifecycle_loop_with_retry can catch it
# 即使出错也要设置ready事件让start()方法知道初始化已完成
self._ready_event.set()
finally:
# Clean up all resources in the same task
# 在同一个任务中清理所有资源
try:
if self.exit_stack:
await self.exit_stack.aclose()
self.exit_stack = AsyncExitStack()
self.functions.clear()
self.session = None
except Exception as e:
self.ap.logger.error(f'Error cleaning up MCP session {self.server_name}: {e}\n{traceback.format_exc()}')
finally:
await self._cleanup_box_stdio_session()
async def _lifecycle_loop_with_retry(self):
"""Wrap _lifecycle_loop with retry and exponential backoff."""
for attempt in range(self._MAX_RETRIES + 1):
try:
await self._lifecycle_loop()
return # Normal shutdown, don't retry
except Exception as e:
self.retry_count = attempt + 1
if self._shutdown_event.is_set():
return # Shutdown requested, don't retry
# BOX_UNAVAILABLE is a deliberate refusal, not a transient
# failure — retrying produces log spam and a misleading
# "Failed after N attempts" message. Surface it immediately.
if self.error_phase == MCPSessionErrorPhase.BOX_UNAVAILABLE:
self.status = MCPSessionStatus.ERROR
self.error_message = str(e)
self._ready_event.set()
return
if attempt >= self._MAX_RETRIES:
self.status = MCPSessionStatus.ERROR
self.error_message = f'Failed after {self._MAX_RETRIES + 1} attempts: {e}'
self._ready_event.set()
return
delay = self._RETRY_DELAYS[attempt]
self.ap.logger.warning(
f'MCP session {self.server_name} failed (attempt {attempt + 1}), retrying in {delay}s: {e}'
)
await self._cleanup_box_stdio_session()
# Reset status for retry
self.status = MCPSessionStatus.CONNECTING
self.error_message = None
self.error_phase = None
await asyncio.sleep(delay)
_MONITOR_POLL_INTERVAL = 5
_MONITOR_MAX_CONSECUTIVE_ERRORS = 3
async def _monitor_box_process_health(self):
await self._box_stdio_runtime.monitor_process_health()
async def start(self):
if not self.enable:
return
# Create background task for lifecycle management with retry
self._lifecycle_task = asyncio.create_task(self._lifecycle_loop_with_retry())
# 创建后台任务来管理生命周期
self._lifecycle_task = asyncio.create_task(self._lifecycle_loop())
# Wait for connection or failure (with timeout)
startup_timeout = (self.box_config.startup_timeout_sec + 30) if self._uses_box_stdio() else 30.0
# 等待连接建立或失败(带超时)
try:
await asyncio.wait_for(self._ready_event.wait(), timeout=startup_timeout)
await asyncio.wait_for(self._ready_event.wait(), timeout=30.0)
except asyncio.TimeoutError:
self.status = MCPSessionStatus.ERROR
raise Exception(f'Connection timeout after {startup_timeout} seconds')
raise Exception('Connection timeout after 30 seconds')
# Check for errors
# 检查是否有错误
if self.status == MCPSessionStatus.ERROR:
raise Exception('Connection failed, please check URL')
@@ -331,25 +232,18 @@ class RuntimeMCPSession:
return self.functions
def get_runtime_info_dict(self) -> dict:
info = {
return {
'status': self.status.value,
'error_message': self.error_message,
'error_phase': self.error_phase.value if self.error_phase else None,
'retry_count': self.retry_count,
'tool_count': len(self.get_tools()),
'tools': [
{
'name': tool.name,
'description': tool.description,
'parameters': tool.parameters,
}
for tool in self.get_tools()
],
}
if self._uses_box_stdio():
info['box_session_id'] = self._build_box_session_id()
info['box_enabled'] = True
return info
async def shutdown(self):
"""关闭会话并清理资源"""
@@ -373,41 +267,6 @@ class RuntimeMCPSession:
except Exception as e:
self.ap.logger.error(f'Error shutting down MCP session {self.server_name}: {e}\n{traceback.format_exc()}')
def _uses_box_stdio(self) -> bool:
return self._box_stdio_runtime.uses_box_stdio()
def _build_box_session_id(self) -> str:
return 'mcp-shared'
def _rewrite_path(self, path: str, host_path: str | None) -> str:
return self._box_stdio_runtime.rewrite_path(path, host_path)
def _infer_host_path(self) -> str | None:
return self._box_stdio_runtime.infer_host_path()
@staticmethod
def _unwrap_venv_path(directory: str) -> str:
return BoxStdioSessionRuntime.unwrap_venv_path(directory)
def _resolve_host_path(self) -> str | None:
return self._box_stdio_runtime.resolve_host_path()
@staticmethod
def _detect_install_command(host_path: str) -> str | None:
return BoxStdioSessionRuntime.detect_install_command(host_path)
def _build_box_session_payload(self, session_id: str, host_path: str | None = None) -> dict:
return self._box_stdio_runtime.build_box_session_payload(session_id, host_path)
def _build_box_process_payload(self, host_path: str | None = None) -> dict:
return self._box_stdio_runtime.build_box_process_payload(host_path)
def _rewrite_venv_command(self, command: str, host_path: str) -> str:
return self._box_stdio_runtime.rewrite_venv_command(command, host_path)
async def _cleanup_box_stdio_session(self) -> None:
await self._box_stdio_runtime.cleanup_session()
# @loader.loader_class('mcp')
class MCPLoader(loader.ToolLoader):
@@ -473,7 +332,7 @@ class MCPLoader(loader.ToolLoader):
Args:
server_config: 服务器配置字典,必须包含:
- name: 服务器名称
- mode: 连接模式 (stdio/sse/http)
- mode: 连接模式 (stdio/sse)
- enable: 是否启用
- extra_args: 额外的配置参数 (可选)
"""
@@ -572,13 +431,12 @@ class MCPLoader(loader.ToolLoader):
"""获取所有服务器的信息"""
info = {}
for server_name, session in self.sessions.items():
tools = session.get_tools()
info[server_name] = {
'name': server_name,
'mode': session.server_config.get('mode'),
'enable': session.enable,
'tools_count': len(tools),
'tool_names': [f.name for f in tools],
'tools_count': len(session.get_tools()),
'tool_names': [f.name for f in session.get_tools()],
}
return info

View File

@@ -1,366 +0,0 @@
from __future__ import annotations
import enum
import asyncio
import os
import shutil
import shlex
from typing import TYPE_CHECKING, Any
import pydantic
from mcp import ClientSession
from mcp.client.websocket import websocket_client
from ....box.workspace import (
BoxWorkspaceSession,
classify_python_workspace,
infer_workspace_host_path,
normalize_host_path,
rewrite_mounted_path,
rewrite_venv_command,
unwrap_venv_path,
)
if TYPE_CHECKING:
from .mcp import RuntimeMCPSession
class MCPSessionErrorPhase(enum.Enum):
"""Which phase of the MCP lifecycle failed."""
SESSION_CREATE = 'session_create'
DEP_INSTALL = 'dep_install'
PROCESS_START = 'process_start'
RELAY_CONNECT = 'relay_connect'
MCP_INIT = 'mcp_init'
RUNTIME = 'runtime'
TOOL_CALL = 'tool_call'
# Stdio MCP refused because Box is disabled in config or currently
# unavailable. Not transient — retries would be pointless. The frontend
# uses this phase to render a localized actionable message instead of
# the raw RuntimeError text.
BOX_UNAVAILABLE = 'box_unavailable'
class MCPServerBoxConfig(pydantic.BaseModel):
"""Structured configuration for running an MCP server inside a Box container."""
image: str | None = None
network: str = 'on' # MCP servers need network for dependency installation
host_path: str | None = None
host_path_mode: str = 'ro' # MCP servers default to read-write mount only when explicitly requested
env: dict[str, str] = pydantic.Field(default_factory=dict)
startup_timeout_sec: int = 120 # Longer default to allow dependency bootstrap
cpus: float | None = None
memory_mb: int | None = None
pids_limit: int | None = None
read_only_rootfs: bool | None = None
model_config = pydantic.ConfigDict(extra='ignore')
class BoxStdioSessionRuntime:
"""Encapsulate Box-backed stdio MCP session orchestration."""
def __init__(self, owner: RuntimeMCPSession):
self.owner = owner
self.config = MCPServerBoxConfig.model_validate(owner.server_config.get('box', {}))
@property
def ap(self):
return self.owner.ap
@property
def server_name(self) -> str:
return self.owner.server_name
@property
def server_config(self) -> dict:
return self.owner.server_config
def _build_workspace(
self,
*,
host_path: str | None | object = ...,
workdir: str = '/workspace',
mount_path: str = '/workspace',
) -> BoxWorkspaceSession:
resolved_host_path = self.resolve_host_path() if host_path is ... else host_path
return BoxWorkspaceSession(
self.ap.box_service,
self.owner._build_box_session_id(),
host_path=resolved_host_path,
host_path_mode=self.config.host_path_mode,
workdir=workdir,
env=self.config.env,
mount_path=mount_path,
network=self.config.network,
read_only_rootfs=self.config.read_only_rootfs if self.config.read_only_rootfs is not None else False,
image=self.config.image,
cpus=self.config.cpus,
memory_mb=self.config.memory_mb,
pids_limit=self.config.pids_limit,
persistent=True,
)
@property
def process_id(self) -> str:
"""Each MCP server gets a unique process_id within the shared session."""
return self.owner.server_uuid
def uses_box_stdio(self) -> bool:
if self.server_config.get('mode') != 'stdio':
return False
box_service = getattr(self.ap, 'box_service', None)
if box_service is None:
return False
# When Box is configured but currently unavailable (disabled or
# connection failed), do NOT silently fall through to host-stdio —
# that would bypass the sandbox the operator asked for. The caller
# is expected to refuse the stdio MCP server with a clear error.
return bool(getattr(box_service, 'available', False))
async def initialize(self) -> None:
await self._wait_for_box_runtime()
# All stdio MCP servers share one Box session. Per-server host paths
# are staged into the shared workspace instead of becoming session
# mounts, because an existing Docker container cannot add bind mounts.
workspace = self._build_workspace(host_path=None)
host_path = self.resolve_host_path()
process_cwd = '/workspace'
try:
await workspace.create_session()
except Exception:
self.owner.error_phase = MCPSessionErrorPhase.SESSION_CREATE
raise
if host_path:
process_cwd = await self._stage_host_path_to_shared_workspace(host_path)
install_cmd = self.detect_install_command(host_path, process_cwd)
if install_cmd:
self.ap.logger.info(
f'MCP server {self.server_name}: installing dependencies in Box with: {install_cmd}'
)
try:
result = await workspace.execute_raw(
install_cmd,
workdir=process_cwd,
timeout_sec=self.config.startup_timeout_sec or 120,
)
except Exception:
self.owner.error_phase = MCPSessionErrorPhase.DEP_INSTALL
raise
if not result.ok:
self.owner.error_phase = MCPSessionErrorPhase.DEP_INSTALL
stderr_preview = (result.stderr or '')[:500]
raise Exception(f'Dependency install failed (exit code {result.exit_code}): {stderr_preview}')
try:
process_workspace = (
self._build_workspace(host_path=host_path, workdir=process_cwd, mount_path=process_cwd)
if host_path
else workspace
)
payload = process_workspace.build_process_payload(
self.server_config['command'],
self.server_config.get('args', []),
env=self.server_config.get('env', {}),
cwd=process_cwd,
)
payload['process_id'] = self.process_id
await workspace.box_service.start_managed_process(workspace.session_id, payload)
except Exception:
self.owner.error_phase = MCPSessionErrorPhase.PROCESS_START
raise
try:
websocket_url = workspace.get_managed_process_websocket_url(self.process_id)
transport = await self.owner.exit_stack.enter_async_context(websocket_client(websocket_url))
read_stream, write_stream = transport
self.owner.session = await self.owner.exit_stack.enter_async_context(
ClientSession(read_stream, write_stream)
)
except Exception:
self.owner.error_phase = MCPSessionErrorPhase.RELAY_CONNECT
raise
try:
await self.owner.session.initialize()
except Exception:
self.owner.error_phase = MCPSessionErrorPhase.MCP_INIT
raise
async def monitor_process_health(self) -> None:
from langbot_plugin.box.models import BoxManagedProcessStatus
workspace = self._build_workspace()
consecutive_errors = 0
while not self.owner._shutdown_event.is_set():
try:
info = await workspace.get_managed_process(self.process_id)
if isinstance(info, dict):
status = info.get('status', '')
else:
status = getattr(info, 'status', '')
if status == BoxManagedProcessStatus.EXITED.value or status == BoxManagedProcessStatus.EXITED:
return
consecutive_errors = 0
except Exception as exc:
consecutive_errors += 1
self.ap.logger.warning(
f'MCP monitor for {self.server_name}: get_managed_process failed '
f'({consecutive_errors}/{self.owner._MONITOR_MAX_CONSECUTIVE_ERRORS}): '
f'{type(exc).__name__}: {exc}'
)
if consecutive_errors >= self.owner._MONITOR_MAX_CONSECUTIVE_ERRORS:
return
await asyncio.sleep(self.owner._MONITOR_POLL_INTERVAL)
async def _stage_host_path_to_shared_workspace(self, host_path: str) -> str:
source_path = normalize_host_path(host_path)
if not source_path:
return '/workspace'
if not os.path.isdir(source_path):
raise FileNotFoundError(f'MCP host_path does not exist or is not a directory: {host_path}')
self._validate_host_path(source_path)
shared_host_path = self._shared_workspace_host_path()
process_host_root = os.path.join(shared_host_path, '.mcp', self.process_id)
process_host_workspace = os.path.join(process_host_root, 'workspace')
await asyncio.to_thread(self._copy_workspace_tree, source_path, process_host_root, process_host_workspace)
return f'/workspace/.mcp/{self.process_id}/workspace'
def _validate_host_path(self, host_path: str) -> None:
self.ap.box_service.build_spec(
{
'session_id': f'mcp-validate-{self.process_id}',
'host_path': host_path,
'host_path_mode': self.config.host_path_mode,
'network': self.config.network,
'read_only_rootfs': self.config.read_only_rootfs if self.config.read_only_rootfs is not None else False,
}
)
def _shared_workspace_host_path(self) -> str:
default_workspace = getattr(self.ap.box_service, 'default_workspace', None)
if not default_workspace:
raise RuntimeError('Box default workspace is required for shared MCP host_path staging')
shared_host_path = normalize_host_path(default_workspace)
os.makedirs(shared_host_path, exist_ok=True)
return shared_host_path
@staticmethod
def _copy_workspace_tree(source_path: str, process_host_root: str, process_host_workspace: str) -> None:
shutil.rmtree(process_host_root, ignore_errors=True)
os.makedirs(process_host_root, exist_ok=True)
shutil.copytree(
source_path,
process_host_workspace,
symlinks=True,
ignore=shutil.ignore_patterns('.git', '__pycache__', '.pytest_cache', '.mypy_cache', '.ruff_cache'),
)
async def _cleanup_staged_workspace(self) -> None:
if not self.resolve_host_path():
return
try:
process_host_root = os.path.join(self._shared_workspace_host_path(), '.mcp', self.process_id)
await asyncio.to_thread(shutil.rmtree, process_host_root, True)
except Exception as exc:
self.ap.logger.warning(
f'MCP server {self.server_name}: failed to clean staged workspace '
f'process_id={self.process_id}: {type(exc).__name__}: {exc}'
)
async def _wait_for_box_runtime(self) -> None:
timeout_sec = max(float(self.config.startup_timeout_sec or 120), 1.0)
deadline = asyncio.get_running_loop().time() + timeout_sec
warned = False
while not getattr(self.ap.box_service, 'available', False):
if not warned:
self.ap.logger.warning(
f'MCP server {self.server_name}: waiting for Box runtime before starting stdio process'
)
warned = True
if asyncio.get_running_loop().time() >= deadline:
self.owner.error_phase = MCPSessionErrorPhase.SESSION_CREATE
raise Exception(f'Box runtime is not available after {int(timeout_sec)} seconds')
await asyncio.sleep(1)
async def cleanup_session(self) -> None:
if not self.uses_box_stdio():
return
# In the shared-session model, we do not delete the session itself.
# Stop only this MCP server's managed process; deleting the session
# would kill other MCP servers sharing the same container.
workspace = self._build_workspace(host_path=None)
try:
await workspace.stop_managed_process(self.process_id)
except Exception as exc:
self.ap.logger.warning(
f'MCP server {self.server_name}: failed to stop managed process '
f'process_id={self.process_id}: {type(exc).__name__}: {exc}'
)
await self._cleanup_staged_workspace()
return
await self._cleanup_staged_workspace()
self.ap.logger.info(
f'MCP server {self.server_name}: stopped process_id={self.process_id} '
f'(shared session {self.owner._build_box_session_id()} kept alive)'
)
def rewrite_path(self, path: str, host_path: str | None) -> str:
return rewrite_mounted_path(path, host_path)
def infer_host_path(self) -> str | None:
return infer_workspace_host_path(self.server_config.get('command', ''), self.server_config.get('args', []))
@staticmethod
def unwrap_venv_path(directory: str) -> str:
return unwrap_venv_path(directory)
def resolve_host_path(self) -> str | None:
return self.config.host_path or self.infer_host_path()
@staticmethod
def detect_install_command(host_path: str, workspace_path: str = '/workspace') -> str | None:
workspace_kind = classify_python_workspace(host_path)
quoted_workspace_path = shlex.quote(workspace_path)
if workspace_kind == 'package':
return (
'mkdir -p /opt/_lb_src'
f' && tar -C {quoted_workspace_path}'
' --exclude=.venv --exclude=.git --exclude=__pycache__'
' --exclude=node_modules --exclude=.tox --exclude=.nox'
' --exclude="*.egg-info" --exclude=.uv-cache'
' -cf - .'
' | tar -C /opt/_lb_src -xf -'
' && pip install --no-cache-dir /opt/_lb_src'
' && rm -rf /opt/_lb_src'
)
if workspace_kind == 'requirements':
return f'pip install --no-cache-dir -r {quoted_workspace_path}/requirements.txt'
return None
def build_box_session_payload(self, session_id: str, host_path: str | None = None) -> dict[str, Any]:
workspace = self._build_workspace()
workspace.session_id = session_id
if host_path is not None:
workspace.host_path = host_path
return workspace.build_session_payload()
def build_box_process_payload(self, host_path: str | None = None) -> dict[str, Any]:
workspace = self._build_workspace()
if host_path is not None:
workspace.host_path = host_path
return workspace.build_process_payload(
self.server_config['command'],
self.server_config.get('args', []),
env=self.server_config.get('env', {}),
)
def rewrite_venv_command(self, command: str, host_path: str) -> str:
return rewrite_venv_command(command, host_path)

View File

@@ -1,846 +0,0 @@
from __future__ import annotations
import json
import os
import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
from langbot_plugin.api.entities.events import pipeline_query
from .. import loader
from . import skill as skill_loader
EXEC_TOOL_NAME = 'exec'
READ_TOOL_NAME = 'read'
WRITE_TOOL_NAME = 'write'
EDIT_TOOL_NAME = 'edit'
GLOB_TOOL_NAME = 'glob'
GREP_TOOL_NAME = 'grep'
_ALL_TOOL_NAMES = {EXEC_TOOL_NAME, READ_TOOL_NAME, WRITE_TOOL_NAME, EDIT_TOOL_NAME, GLOB_TOOL_NAME, GREP_TOOL_NAME}
# Skip these dirs during grep walk to avoid noise
_SKIP_DIRS = {'.git', 'node_modules', '__pycache__', '.venv', 'venv', '.tox', 'dist', 'build'}
class NativeToolLoader(loader.ToolLoader):
def __init__(self, ap):
super().__init__(ap)
self._tools: list[resource_tool.LLMTool] | None = None
self._backend_available: bool | None = None
async def initialize(self):
"""Check if backend is truly available at startup."""
self._backend_available = await self._check_backend_available()
if self._backend_available:
self.ap.logger.info('Native sandbox tools (exec/read/write/edit/glob/grep) are available.')
else:
self.ap.logger.warning(
'Native sandbox tools (exec/read/write/edit/glob/grep) are NOT available. '
'No sandbox backend (Docker/nsjail/E2B) is ready. '
'The LLM will not have access to code execution or file operation tools.'
)
async def _check_backend_available(self) -> bool:
"""Check if the box backend is truly available (not just the runtime)."""
box_service = getattr(self.ap, 'box_service', None)
if box_service is None:
return False
if not getattr(box_service, 'available', False):
return False
# Check if backend is truly available via get_status
try:
status = await box_service.get_status()
backend_info = status.get('backend', {})
return backend_info.get('available', False)
except Exception:
return False
async def get_tools(self, bound_plugins: list[str] | None = None) -> list[resource_tool.LLMTool]:
if not self._is_sandbox_available():
return []
if self._tools is None:
self._tools = [
self._build_exec_tool(),
self._build_read_tool(),
self._build_write_tool(),
self._build_edit_tool(),
self._build_glob_tool(),
self._build_grep_tool(),
]
return list(self._tools)
async def has_tool(self, name: str) -> bool:
return name in _ALL_TOOL_NAMES and self._is_sandbox_available()
async def invoke_tool(self, name: str, parameters: dict, query: pipeline_query.Query):
if name == EXEC_TOOL_NAME:
self.ap.logger.info(
'exec tool invoked: '
f'query_id={query.query_id} '
f'parameters={json.dumps(self._summarize_parameters(parameters), ensure_ascii=False)}'
)
return await self._invoke_exec(parameters, query)
if name == READ_TOOL_NAME:
return await self._invoke_read(parameters, query)
if name == WRITE_TOOL_NAME:
return await self._invoke_write(parameters, query)
if name == EDIT_TOOL_NAME:
return await self._invoke_edit(parameters, query)
if name == GLOB_TOOL_NAME:
return await self._invoke_glob(parameters, query)
if name == GREP_TOOL_NAME:
return await self._invoke_grep(parameters, query)
raise ValueError(f'未找到工具: {name}')
async def shutdown(self):
pass
async def _invoke_exec(self, parameters: dict, query: pipeline_query.Query) -> dict:
command = str(parameters['command'])
workdir = str(parameters.get('workdir', '/workspace') or '/workspace')
# Validate that skill references target activated skills.
selected_skill, _ = skill_loader.resolve_virtual_skill_path(
self.ap,
query,
workdir,
include_visible=False,
include_activated=True,
)
referenced_skill_names = skill_loader.find_referenced_skill_names(command)
if selected_skill is None and referenced_skill_names:
if len(referenced_skill_names) > 1:
raise ValueError('exec can target at most one activated skill package per call.')
selected_skill = skill_loader.get_activated_skill(query, referenced_skill_names[0])
if selected_skill is None:
raise ValueError(
f'Skill "{referenced_skill_names[0]}" must be activated before exec can run in its package.'
)
if selected_skill is not None:
selected_skill_name = str(selected_skill.get('name', '') or '')
if referenced_skill_names and any(name != selected_skill_name for name in referenced_skill_names):
raise ValueError('exec can reference files from only one activated skill package per call.')
package_root = str(selected_skill.get('package_root', '') or '').strip()
if not package_root:
raise ValueError(f'Activated skill "{selected_skill_name}" has no package_root.')
# Wrap command with Python venv bootstrap if the skill has a Python project.
# The venv is created inside the skill's mount path.
skill_mount = f'/workspace/.skills/{selected_skill_name}'
if skill_loader.should_prepare_skill_python_env(package_root):
parameters = dict(parameters)
parameters['command'] = skill_loader.wrap_skill_command_with_python_env(command, mount_path=skill_mount)
# All exec calls (with or without skills) go through the same container
# via execute_tool. Skills are mounted at /workspace/.skills/{name}/
# via extra_mounts built by BoxService.
result = await self.ap.box_service.execute_tool(parameters, query)
if selected_skill is not None:
self._refresh_skill_from_disk(selected_skill)
return result
def _resolve_host_path(
self,
query: pipeline_query.Query,
sandbox_path: str,
*,
include_visible: bool,
include_activated: bool,
) -> tuple[str, dict | None]:
selected_skill, rewritten_path = skill_loader.resolve_virtual_skill_path(
self.ap,
query,
sandbox_path,
include_visible=include_visible,
include_activated=include_activated,
)
box_service = self.ap.box_service
host_root = selected_skill.get('package_root') if selected_skill is not None else box_service.default_workspace
if not host_root:
raise ValueError('No host workspace configured for file operations.')
mount_path = '/workspace'
if not rewritten_path.startswith(mount_path):
raise ValueError(f'Path must be under {mount_path}.')
relative = rewritten_path[len(mount_path) :].lstrip('/')
host_path = os.path.realpath(os.path.join(host_root, relative))
host_root = os.path.realpath(host_root)
if not (host_path == host_root or host_path.startswith(host_root + os.sep)):
raise ValueError('Path escapes the workspace boundary.')
return host_path, selected_skill
def _resolve_skill_relative_path(
self,
query: pipeline_query.Query,
sandbox_path: str,
*,
include_visible: bool,
include_activated: bool,
) -> tuple[dict, str] | None:
selected_skill, rewritten_path = skill_loader.resolve_virtual_skill_path(
self.ap,
query,
sandbox_path,
include_visible=include_visible,
include_activated=include_activated,
)
if selected_skill is None:
return None
mount_path = '/workspace'
if not rewritten_path.startswith(mount_path):
raise ValueError(f'Path must be under {mount_path}.')
relative = rewritten_path[len(mount_path) :].lstrip('/') or '.'
return selected_skill, relative
def _should_use_box_workspace_files(self, selected_skill: dict | None) -> bool:
if selected_skill is not None:
return False
box_service = getattr(self.ap, 'box_service', None)
if box_service is None or not hasattr(box_service, 'execute_tool'):
return False
default_workspace = getattr(box_service, 'default_workspace', None)
return bool(default_workspace and not os.path.isdir(os.path.realpath(default_workspace)))
async def _run_workspace_file_script(self, script: str, query: pipeline_query.Query) -> dict:
result = await self.ap.box_service.execute_tool(
{
'command': f"python - <<'PY'\n{script}\nPY",
'timeout_sec': 30,
},
query,
)
if not result.get('ok'):
return {'ok': False, 'error': result.get('stderr') or result.get('stdout') or 'Box execution failed'}
stdout = str(result.get('stdout') or '').strip()
try:
return json.loads(stdout.splitlines()[-1])
except Exception:
return {'ok': False, 'error': stdout or 'Box file operation returned no result'}
async def _read_workspace_via_box(self, path: str, query: pipeline_query.Query) -> dict:
script = f"""
import json, os
path = {json.dumps(path)}
if not path.startswith('/workspace'):
print(json.dumps({{'ok': False, 'error': 'Path must be under /workspace.'}}))
elif not os.path.exists(path):
print(json.dumps({{'ok': False, 'error': f'File not found: {{path}}'}}))
elif os.path.isdir(path):
print(json.dumps({{'ok': True, 'content': '\\n'.join(sorted(os.listdir(path))), 'is_directory': True}}))
else:
with open(path, 'r', encoding='utf-8', errors='replace') as f:
print(json.dumps({{'ok': True, 'content': f.read()}}))
""".strip()
return await self._run_workspace_file_script(script, query)
async def _write_workspace_via_box(self, path: str, content: str, query: pipeline_query.Query) -> dict:
script = f"""
import json, os
path = {json.dumps(path)}
content = {json.dumps(content)}
if not path.startswith('/workspace'):
print(json.dumps({{'ok': False, 'error': 'Path must be under /workspace.'}}))
else:
os.makedirs(os.path.dirname(path) or '/workspace', exist_ok=True)
with open(path, 'w', encoding='utf-8') as f:
f.write(content)
print(json.dumps({{'ok': True, 'path': path}}))
""".strip()
return await self._run_workspace_file_script(script, query)
async def _edit_workspace_via_box(
self,
path: str,
old_string: str,
new_string: str,
query: pipeline_query.Query,
) -> dict:
script = f"""
import json, os
path = {json.dumps(path)}
old_string = {json.dumps(old_string)}
new_string = {json.dumps(new_string)}
if not path.startswith('/workspace'):
print(json.dumps({{'ok': False, 'error': 'Path must be under /workspace.'}}))
elif not os.path.isfile(path):
print(json.dumps({{'ok': False, 'error': f'File not found: {{path}}'}}))
else:
with open(path, 'r', encoding='utf-8', errors='replace') as f:
content = f.read()
count = content.count(old_string)
if count == 0:
print(json.dumps({{'ok': False, 'error': 'old_string not found in file.'}}))
elif count > 1:
print(json.dumps({{'ok': False, 'error': f'old_string matches {{count}} locations; provide a more unique string.'}}))
else:
with open(path, 'w', encoding='utf-8') as f:
f.write(content.replace(old_string, new_string, 1))
print(json.dumps({{'ok': True, 'path': path}}))
""".strip()
return await self._run_workspace_file_script(script, query)
async def _glob_workspace_via_box(self, path: str, pattern: str, query: pipeline_query.Query) -> dict:
script = f"""
import json, os
from pathlib import Path
path = {json.dumps(path)}
pattern = {json.dumps(pattern)}
skip_dirs = {json.dumps(sorted(_SKIP_DIRS))}
if not path.startswith('/workspace'):
print(json.dumps({{'ok': False, 'error': 'Path must be under /workspace.'}}))
elif not os.path.isdir(path):
print(json.dumps({{'ok': False, 'error': f'Path is not a directory: {{path}}'}}))
else:
base = Path(path)
hits = [
item for item in base.rglob(pattern)
if not any(part in skip_dirs for part in item.parts)
]
hits.sort(key=lambda item: item.stat().st_mtime if item.exists() else 0, reverse=True)
shown = hits[:100]
matches = []
for item in shown:
rel = os.path.relpath(str(item), path)
matches.append(os.path.join(path, rel).replace(os.sep, '/'))
print(json.dumps({{'ok': True, 'matches': matches, 'total': len(hits), 'truncated': len(hits) > 100}}))
""".strip()
return await self._run_workspace_file_script(script, query)
async def _grep_workspace_via_box(
self,
path: str,
pattern: str,
include: str | None,
query: pipeline_query.Query,
) -> dict:
script = f"""
import json, os, re
from pathlib import Path
path = {json.dumps(path)}
pattern = {json.dumps(pattern)}
include = {json.dumps(include)}
skip_dirs = {json.dumps(sorted(_SKIP_DIRS))}
try:
regex = re.compile(pattern)
except re.error as exc:
print(json.dumps({{'ok': False, 'error': f'Invalid regex: {{exc}}'}}))
else:
if not path.startswith('/workspace'):
print(json.dumps({{'ok': False, 'error': 'Path must be under /workspace.'}}))
elif not os.path.exists(path):
print(json.dumps({{'ok': False, 'error': f'Path not found: {{path}}'}}))
else:
base = Path(path)
if base.is_file():
files = [base]
else:
files = []
for item in base.rglob(include or '*'):
if any(part in skip_dirs for part in item.parts):
continue
if item.is_file():
files.append(item)
if len(files) >= 5000:
break
matches = []
for fp in files:
try:
text = fp.read_text(errors='ignore')
except OSError:
continue
for lineno, line in enumerate(text.splitlines(), 1):
if regex.search(line):
if base.is_file():
file_path = path
else:
rel = os.path.relpath(str(fp), path)
file_path = os.path.join(path, rel).replace(os.sep, '/')
matches.append({{'file': file_path, 'line': lineno, 'content': line.rstrip()}})
if len(matches) >= 200:
break
if len(matches) >= 200:
break
print(json.dumps({{'ok': True, 'matches': matches, 'total': len(matches), 'truncated': len(matches) >= 200}}))
""".strip()
return await self._run_workspace_file_script(script, query)
async def _invoke_read(self, parameters: dict, query: pipeline_query.Query) -> dict:
path = parameters['path']
self.ap.logger.info(f'read tool invoked: query_id={query.query_id} path={path}')
skill_request = self._resolve_skill_relative_path(
query,
path,
include_visible=True,
include_activated=True,
)
if skill_request is not None and hasattr(self.ap.box_service, 'read_skill_file'):
selected_skill, relative = skill_request
try:
result = await self.ap.box_service.read_skill_file(selected_skill['name'], relative)
return {'ok': True, 'content': result.get('content', '')}
except Exception:
try:
result = await self.ap.box_service.list_skill_files(selected_skill['name'], relative)
entries = [entry['name'] for entry in result.get('entries', [])]
return {'ok': True, 'content': '\n'.join(sorted(entries)), 'is_directory': True}
except Exception as exc:
return {'ok': False, 'error': str(exc)}
host_path, selected_skill = self._resolve_host_path(
query,
path,
include_visible=True,
include_activated=True,
)
if self._should_use_box_workspace_files(selected_skill):
return await self._read_workspace_via_box(path, query)
if not os.path.exists(host_path):
return {'ok': False, 'error': f'File not found: {path}'}
if os.path.isdir(host_path):
entries = os.listdir(host_path)
return {'ok': True, 'content': '\n'.join(sorted(entries)), 'is_directory': True}
with open(host_path, 'r', errors='replace') as f:
content = f.read()
return {'ok': True, 'content': content}
async def _invoke_write(self, parameters: dict, query: pipeline_query.Query) -> dict:
path = parameters['path']
content = parameters['content']
self.ap.logger.info(f'write tool invoked: query_id={query.query_id} path={path} length={len(content)}')
skill_request = self._resolve_skill_relative_path(
query,
path,
include_visible=False,
include_activated=True,
)
if skill_request is not None and hasattr(self.ap.box_service, 'write_skill_file'):
selected_skill, relative = skill_request
await self.ap.box_service.write_skill_file(selected_skill['name'], relative, content)
await self.ap.skill_mgr.reload_skills()
return {'ok': True, 'path': path}
host_path, selected_skill = self._resolve_host_path(
query,
path,
include_visible=False,
include_activated=True,
)
if self._should_use_box_workspace_files(selected_skill):
return await self._write_workspace_via_box(path, content, query)
os.makedirs(os.path.dirname(host_path), exist_ok=True)
with open(host_path, 'w', encoding='utf-8') as f:
f.write(content)
self._refresh_skill_from_disk(selected_skill)
return {'ok': True, 'path': path}
async def _invoke_edit(self, parameters: dict, query: pipeline_query.Query) -> dict:
path = parameters['path']
old_string = parameters['old_string']
new_string = parameters['new_string']
self.ap.logger.info(
f'edit tool invoked: query_id={query.query_id} path={path} '
f'old_len={len(old_string)} new_len={len(new_string)}'
)
skill_request = self._resolve_skill_relative_path(
query,
path,
include_visible=False,
include_activated=True,
)
if (
skill_request is not None
and hasattr(self.ap.box_service, 'read_skill_file')
and hasattr(self.ap.box_service, 'write_skill_file')
):
selected_skill, relative = skill_request
try:
result = await self.ap.box_service.read_skill_file(selected_skill['name'], relative)
except Exception:
return {'ok': False, 'error': f'File not found: {path}'}
content = result.get('content', '')
count = content.count(old_string)
if count == 0:
return {'ok': False, 'error': 'old_string not found in file.'}
if count > 1:
return {'ok': False, 'error': f'old_string matches {count} locations; provide a more unique string.'}
new_content = content.replace(old_string, new_string, 1)
await self.ap.box_service.write_skill_file(selected_skill['name'], relative, new_content)
await self.ap.skill_mgr.reload_skills()
return {'ok': True, 'path': path}
host_path, selected_skill = self._resolve_host_path(
query,
path,
include_visible=False,
include_activated=True,
)
if self._should_use_box_workspace_files(selected_skill):
return await self._edit_workspace_via_box(path, old_string, new_string, query)
if not os.path.isfile(host_path):
return {'ok': False, 'error': f'File not found: {path}'}
with open(host_path, 'r', encoding='utf-8', errors='replace') as f:
content = f.read()
count = content.count(old_string)
if count == 0:
return {'ok': False, 'error': 'old_string not found in file.'}
if count > 1:
return {'ok': False, 'error': f'old_string matches {count} locations; provide a more unique string.'}
new_content = content.replace(old_string, new_string, 1)
with open(host_path, 'w', encoding='utf-8') as f:
f.write(new_content)
self._refresh_skill_from_disk(selected_skill)
return {'ok': True, 'path': path}
def _refresh_skill_from_disk(self, selected_skill: dict | None) -> None:
if selected_skill is None:
return
skill_mgr = getattr(self.ap, 'skill_mgr', None)
if skill_mgr is None:
return
refresh_skill = getattr(skill_mgr, 'refresh_skill_from_disk', None)
if callable(refresh_skill):
refresh_skill(selected_skill.get('name', ''))
def _is_sandbox_available(self) -> bool:
"""Check if sandbox backend is available.
This checks the cached backend availability from initialization,
not just whether the box_service process is running.
"""
return bool(self._backend_available)
def _build_exec_tool(self) -> resource_tool.LLMTool:
return resource_tool.LLMTool(
name=EXEC_TOOL_NAME,
human_desc='Execute a command in an isolated environment',
description=(
'Run shell commands in an isolated execution environment. '
'Use this tool for bash commands, Python execution, and exact calculations over '
'user-provided data. Activated skill packages are addressable under '
'/workspace/.skills/<skill-name>; when running inside one, set workdir to that path. '
'To create a new skill package, prepare it under /workspace first, then use register_skill.'
),
parameters={
'type': 'object',
'properties': {
'command': {
'type': 'string',
'description': 'Shell command to execute.',
},
'workdir': {
'type': 'string',
'description': 'Working directory for the command. Defaults to /workspace.',
'default': '/workspace',
},
'timeout_sec': {
'type': 'integer',
'description': 'Execution timeout in seconds. Defaults to 30.',
'default': 30,
'minimum': 1,
},
'env': {
'type': 'object',
'description': 'Optional environment variables for the execution.',
'additionalProperties': {'type': 'string'},
'default': {},
},
'description': {
'type': 'string',
'description': 'Brief description of what this command does, for logging and audit.',
},
},
'required': ['command'],
'additionalProperties': False,
},
func=lambda parameters: parameters,
)
def _build_read_tool(self) -> resource_tool.LLMTool:
return resource_tool.LLMTool(
name=READ_TOOL_NAME,
human_desc='Read a file from the workspace',
description=(
'Read the contents of a file at the given path under /workspace. '
'Visible skill packages can be inspected through /workspace/.skills/<skill-name>/... .'
),
parameters={
'type': 'object',
'properties': {
'path': {
'type': 'string',
'description': 'Absolute path to the file (must be under /workspace).',
},
},
'required': ['path'],
'additionalProperties': False,
},
func=lambda parameters: parameters,
)
def _build_write_tool(self) -> resource_tool.LLMTool:
return resource_tool.LLMTool(
name=WRITE_TOOL_NAME,
human_desc='Write a file to the workspace',
description=(
'Create or overwrite a file at the given path under /workspace with the provided content. '
'Activated skill packages can be modified through /workspace/.skills/<skill-name>/... . '
'For new skills, write files under /workspace and then call register_skill.'
),
parameters={
'type': 'object',
'properties': {
'path': {
'type': 'string',
'description': 'Absolute path to the file (must be under /workspace).',
},
'content': {
'type': 'string',
'description': 'Content to write to the file.',
},
},
'required': ['path', 'content'],
'additionalProperties': False,
},
func=lambda parameters: parameters,
)
def _build_edit_tool(self) -> resource_tool.LLMTool:
return resource_tool.LLMTool(
name=EDIT_TOOL_NAME,
human_desc='Edit a file in the workspace',
description=(
'Perform an exact string replacement in a file under /workspace. '
'The old_string must appear exactly once in the file. Activated skill packages '
'can be edited through /workspace/.skills/<skill-name>/... . '
'For new skills, edit files under /workspace and then call register_skill.'
),
parameters={
'type': 'object',
'properties': {
'path': {
'type': 'string',
'description': 'Absolute path to the file (must be under /workspace).',
},
'old_string': {
'type': 'string',
'description': 'The exact string to find and replace.',
},
'new_string': {
'type': 'string',
'description': 'The replacement string.',
},
},
'required': ['path', 'old_string', 'new_string'],
'additionalProperties': False,
},
func=lambda parameters: parameters,
)
def _build_glob_tool(self) -> resource_tool.LLMTool:
return resource_tool.LLMTool(
name=GLOB_TOOL_NAME,
human_desc='Find files matching a glob pattern',
description=(
'Find files matching a glob pattern under /workspace. '
'Supports ** for recursive matching (e.g. **/*.py). '
'Results are sorted by modification time (newest first). '
'Visible and activated skill packages can be searched through /workspace/.skills/<skill-name>/...'
),
parameters={
'type': 'object',
'properties': {
'pattern': {
'type': 'string',
'description': 'Glob pattern, e.g. **/*.py or src/**/*.ts',
},
'path': {
'type': 'string',
'description': 'Directory to search in (must be under /workspace, default: /workspace)',
'default': '/workspace',
},
},
'required': ['pattern'],
'additionalProperties': False,
},
func=lambda parameters: parameters,
)
def _build_grep_tool(self) -> resource_tool.LLMTool:
return resource_tool.LLMTool(
name=GREP_TOOL_NAME,
human_desc='Search file contents with regex',
description=(
'Search file contents with regex pattern under /workspace. '
'Returns matching lines with file path and line number. '
'Visible and activated skill packages can be searched through /workspace/.skills/<skill-name>/...'
),
parameters={
'type': 'object',
'properties': {
'pattern': {
'type': 'string',
'description': 'Regex pattern to search for',
},
'path': {
'type': 'string',
'description': 'File or directory to search (must be under /workspace, default: /workspace)',
'default': '/workspace',
},
'include': {
'type': 'string',
'description': 'Only search files matching this glob (e.g. *.py)',
},
},
'required': ['pattern'],
'additionalProperties': False,
},
func=lambda parameters: parameters,
)
async def _invoke_glob(self, parameters: dict, query: pipeline_query.Query) -> dict:
pattern = parameters['pattern']
path = str(parameters.get('path', '/workspace') or '/workspace')
self.ap.logger.info(f'glob tool invoked: query_id={query.query_id} pattern={pattern} path={path}')
host_path, selected_skill = self._resolve_host_path(
query,
path,
include_visible=True,
include_activated=True,
)
if self._should_use_box_workspace_files(selected_skill):
return await self._glob_workspace_via_box(path, pattern, query)
if not os.path.isdir(host_path):
return {'ok': False, 'error': f'Path is not a directory: {path}'}
from pathlib import Path
base = Path(host_path)
hits = list(base.rglob(pattern))
# Filter out skipped directories
hits = [h for h in hits if not any(skip in h.parts for skip in _SKIP_DIRS)]
# Sort by mtime, newest first
hits.sort(key=lambda p: p.stat().st_mtime if p.exists() else 0, reverse=True)
total = len(hits)
shown = hits[:100]
# Convert back to sandbox paths
sandbox_paths = []
for h in shown:
rel = os.path.relpath(str(h), host_path)
sandbox_path = os.path.join(path, rel)
sandbox_paths.append(sandbox_path)
result_lines = sandbox_paths
result = '\n'.join(result_lines)
if total > 100:
result += f'\n... ({total} matches, showing first 100)'
return {'ok': True, 'matches': result_lines, 'total': total, 'truncated': total > 100}
async def _invoke_grep(self, parameters: dict, query: pipeline_query.Query) -> dict:
pattern = parameters['pattern']
path = str(parameters.get('path', '/workspace') or '/workspace')
include = parameters.get('include')
self.ap.logger.info(f'grep tool invoked: query_id={query.query_id} pattern={pattern} path={path}')
import re
from pathlib import Path
try:
regex = re.compile(pattern)
except re.error as e:
return {'ok': False, 'error': f'Invalid regex: {e}'}
host_path, selected_skill = self._resolve_host_path(
query,
path,
include_visible=True,
include_activated=True,
)
if self._should_use_box_workspace_files(selected_skill):
return await self._grep_workspace_via_box(path, pattern, include, query)
if not os.path.exists(host_path):
return {'ok': False, 'error': f'Path not found: {path}'}
base = Path(host_path)
if base.is_file():
files = [base]
else:
files = self._grep_walk(base, include)
matches = []
for fp in files:
try:
text = fp.read_text(errors='ignore')
except OSError:
continue
for lineno, line in enumerate(text.splitlines(), 1):
if regex.search(line):
rel = os.path.relpath(str(fp), host_path)
sandbox_path = os.path.join(path, rel)
matches.append(
{
'file': sandbox_path,
'line': lineno,
'content': line.rstrip(),
}
)
if len(matches) >= 200:
break
if len(matches) >= 200:
break
return {
'ok': True,
'matches': matches,
'total': len(matches),
'truncated': len(matches) >= 200,
}
@staticmethod
def _grep_walk(root, include: str | None) -> list:
"""Walk dir tree for grep, skipping junk dirs."""
results = []
for item in root.rglob(include or '*'):
if any(skip in item.parts for skip in _SKIP_DIRS):
continue
if item.is_file():
results.append(item)
if len(results) >= 5000:
break
return results
def _summarize_parameters(self, parameters: dict) -> dict:
summary = dict(parameters)
cmd = str(summary.get('command', '')).strip()
if len(cmd) > 400:
cmd = f'{cmd[:397]}...'
summary['command'] = cmd
env = summary.get('env')
if isinstance(env, dict):
summary['env_keys'] = sorted(str(key) for key in env.keys())
del summary['env']
return summary

View File

@@ -1,157 +0,0 @@
from __future__ import annotations
import re
import typing
from ....box import workspace as box_workspace
if typing.TYPE_CHECKING:
from ....core import app
from langbot_plugin.api.entities.events import pipeline_query
ACTIVATED_SKILLS_KEY = '_activated_skills'
PIPELINE_BOUND_SKILLS_KEY = '_pipeline_bound_skills'
SKILL_MOUNT_PREFIX = '/workspace/.skills'
_SKILL_MOUNT_PATTERN = re.compile(r'/workspace/\.skills/([A-Za-z0-9_-]+)')
def get_virtual_skill_mount_path(skill_name: str) -> str:
return f'{SKILL_MOUNT_PREFIX}/{skill_name}'
def get_bound_skill_names(query: pipeline_query.Query) -> list[str] | None:
if query.variables is None:
return None
bound_skills = query.variables.get(PIPELINE_BOUND_SKILLS_KEY)
if bound_skills is None:
return None
if isinstance(bound_skills, list):
return [str(item) for item in bound_skills]
return None
def get_visible_skills(ap: app.Application, query: pipeline_query.Query) -> dict[str, dict]:
skill_mgr = getattr(ap, 'skill_mgr', None)
if skill_mgr is None:
return {}
visible_skills = getattr(skill_mgr, 'skills', {})
bound_skills = get_bound_skill_names(query)
if bound_skills is None:
return visible_skills
return {skill_name: skill_data for skill_name, skill_data in visible_skills.items() if skill_name in bound_skills}
def get_visible_skill(ap: app.Application, query: pipeline_query.Query, skill_name: str) -> dict | None:
return get_visible_skills(ap, query).get(skill_name)
def get_activated_skills(query: pipeline_query.Query) -> dict[str, dict]:
if query.variables is None:
return {}
activated = query.variables.get(ACTIVATED_SKILLS_KEY, {})
if not isinstance(activated, dict):
return {}
return activated
def get_activated_skill(query: pipeline_query.Query, skill_name: str) -> dict | None:
return get_activated_skills(query).get(skill_name)
def register_activated_skill(query: pipeline_query.Query, skill_data: dict) -> None:
if query.variables is None:
query.variables = {}
activated = query.variables.setdefault(ACTIVATED_SKILLS_KEY, {})
skill_name = str(skill_data.get('name', '') or '').strip()
if skill_name and skill_name not in activated:
activated[skill_name] = skill_data
def parse_skill_mount_path(sandbox_path: str) -> tuple[str | None, str]:
normalized_path = str(sandbox_path or '/workspace').strip() or '/workspace'
if normalized_path == SKILL_MOUNT_PREFIX:
raise ValueError(f'Path must include a skill name under {SKILL_MOUNT_PREFIX}/<skill-name>.')
prefix = f'{SKILL_MOUNT_PREFIX}/'
if not normalized_path.startswith(prefix):
return None, normalized_path
remainder = normalized_path[len(prefix) :]
skill_name, separator, tail = remainder.partition('/')
if not skill_name:
raise ValueError(f'Path must include a skill name under {SKILL_MOUNT_PREFIX}/<skill-name>.')
rewritten_path = '/workspace'
if separator:
rewritten_path = f'/workspace/{tail}'
return skill_name, rewritten_path
def resolve_virtual_skill_path(
ap: app.Application,
query: pipeline_query.Query,
sandbox_path: str,
*,
include_visible: bool,
include_activated: bool,
) -> tuple[dict | None, str]:
skill_name, rewritten_path = parse_skill_mount_path(sandbox_path)
if skill_name is None:
return None, rewritten_path
if include_activated:
activated_skill = get_activated_skill(query, skill_name)
if activated_skill is not None:
return activated_skill, rewritten_path
if include_visible:
visible_skill = get_visible_skill(ap, query, skill_name)
if visible_skill is not None:
return visible_skill, rewritten_path
activated_names = ', '.join(sorted(get_activated_skills(query).keys())) or 'none'
visible_names = ', '.join(sorted(get_visible_skills(ap, query).keys())) or 'none'
raise ValueError(
f'Skill "{skill_name}" is not available at this path. '
f'Activated skills: {activated_names}. Visible skills: {visible_names}.'
)
def find_referenced_skill_names(text: str) -> list[str]:
if not text:
return []
seen: list[str] = []
for match in _SKILL_MOUNT_PATTERN.findall(text):
if match not in seen:
seen.append(match)
return seen
def rewrite_command_for_skill_mount(command: str, skill_name: str) -> str:
virtual_root = get_virtual_skill_mount_path(skill_name)
rewritten = command.replace(f'{virtual_root}/', '/workspace/')
return rewritten.replace(virtual_root, '/workspace')
def build_skill_session_id(skill_data: dict, query: pipeline_query.Query) -> str:
skill_identifier = str(skill_data.get('name', 'unknown') or 'unknown')
launcher_type = getattr(query, 'launcher_type', None)
launcher_id = getattr(query, 'launcher_id', None)
query_id = getattr(query, 'query_id', 'unknown')
if launcher_type is not None and launcher_id is not None:
return f'skill-{launcher_type}_{launcher_id}-{skill_identifier}'
return f'skill-{query_id}-{skill_identifier}'
def should_prepare_skill_python_env(package_root: str | None) -> bool:
return box_workspace.should_prepare_python_env(package_root)
def wrap_skill_command_with_python_env(command: str, *, mount_path: str = '/workspace') -> str:
return box_workspace.wrap_python_command_with_env(command, mount_path=mount_path).rstrip()

View File

@@ -1,304 +0,0 @@
from __future__ import annotations
import os
import typing
import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
from .. import loader
# Align with Claude Code's Skill tool design:
# - activate: Activate a skill via Tool Call, returns SKILL.md content
# - register_skill: Register a skill from sandbox directory to data/skills/
# - This protects KV Cache and follows industry standard
ACTIVATE_SKILL_TOOL_NAME = 'activate'
REGISTER_SKILL_TOOL_NAME = 'register_skill'
SKILL_TOOL_NAMES = {
ACTIVATE_SKILL_TOOL_NAME,
REGISTER_SKILL_TOOL_NAME,
}
class SkillToolLoader(loader.ToolLoader):
"""Skill tools aligned with Claude Code's design."""
def __init__(self, ap):
super().__init__(ap)
self._tools: list[resource_tool.LLMTool] = []
self._sandbox_available: bool = False
async def initialize(self):
# Check if sandbox backend is available (same check as native tools)
self._sandbox_available = await self._check_sandbox_available()
if self._sandbox_available:
self._tools = [
self._build_activate_skill_tool(),
self._build_register_skill_tool(),
]
else:
self.ap.logger.info(
'Skill tools (activate/register_skill) are NOT available. '
'No sandbox backend (Docker/nsjail/E2B) is ready.'
)
async def _check_sandbox_available(self) -> bool:
"""Check if the box backend is truly available (not just the runtime)."""
box_service = getattr(self.ap, 'box_service', None)
if box_service is None:
return False
if not getattr(box_service, 'available', False):
return False
# Check if backend is truly available via get_status
try:
status = await box_service.get_status()
backend_info = status.get('backend', {})
return backend_info.get('available', False)
except Exception:
return False
async def get_tools(self, bound_plugins: list[str] | None = None) -> list[resource_tool.LLMTool]:
if not self._is_available():
return []
return list(self._tools)
async def has_tool(self, name: str) -> bool:
return self._is_available() and name in SKILL_TOOL_NAMES
def _is_available(self) -> bool:
"""Check if skill tools should be available.
Skill tools require both a skill manager and a sandbox backend.
"""
return self._has_skill_manager() and self._sandbox_available
async def invoke_tool(self, name: str, parameters: dict, query) -> typing.Any:
if name == ACTIVATE_SKILL_TOOL_NAME:
return await self._invoke_activate_skill(parameters, query)
if name == REGISTER_SKILL_TOOL_NAME:
return await self._invoke_register_skill(parameters)
raise ValueError(f'Unknown skill tool: {name}')
async def shutdown(self):
pass
def _has_skill_manager(self) -> bool:
return getattr(self.ap, 'skill_mgr', None) is not None
async def _invoke_activate_skill(self, parameters: dict, query) -> typing.Any:
"""Activate a skill and return SKILL.md content via Tool Result."""
skill_name = str(parameters.get('skill_name', '') or '').strip()
if not skill_name:
raise ValueError('skill_name is required')
skill_mgr = self.ap.skill_mgr
skill_data = skill_mgr.get_skill_by_name(skill_name)
if skill_data is None:
visible_skills = getattr(skill_mgr, 'skills', {})
available_names = ', '.join(sorted(visible_skills.keys())) or 'none'
raise ValueError(f'Skill "{skill_name}" not found. Available skills: {available_names}')
# Register activated skill for sandbox mount path resolution
from . import skill as skill_loader
skill_loader.register_activated_skill(query, skill_data)
# Return SKILL.md content as Tool Result (injects into context)
instructions = skill_data.get('instructions', '')
package_root = skill_data.get('package_root', '')
mount_path = skill_loader.get_virtual_skill_mount_path(skill_name)
# Build Tool Result content
result_content = f'<command-message>The "{skill_name}" skill is activated</command-message>\n'
result_content += '<skill-activation>\n'
result_content += f'<skill-name>{skill_name}</skill-name>\n'
result_content += f'<mount-path>{mount_path}</mount-path>\n'
result_content += f'<package-root>{package_root}</package-root>\n'
result_content += f'\n## Instructions\n{instructions}\n'
result_content += '\n## Runtime Context\n'
result_content += f'The skill package is mounted at {mount_path}. Use the standard tools to interact with it:\n'
result_content += f'- Use `read` to inspect files under {mount_path}\n'
result_content += f'- Use `exec` with workdir set to {mount_path} to run commands in that package\n'
result_content += '- Use `write` and `edit` on that path when the instructions require updating files\n'
result_content += '</skill-activation>\n'
return {
'activated': True,
'skill_name': skill_name,
'mount_path': mount_path,
'content': result_content,
}
async def _invoke_register_skill(self, parameters: dict) -> typing.Any:
"""Register a skill from sandbox directory to data/skills/."""
sandbox_path = str(parameters.get('path', '') or '').strip()
if not sandbox_path:
raise ValueError('path is required')
# Resolve sandbox path to host path
host_path = self._resolve_workspace_directory(sandbox_path)
# Get or create skill service
skill_service = getattr(self.ap, 'skill_service', None)
if skill_service is None:
raise ValueError('Skill service not available')
# Scan and register the skill
scanned = await skill_service.scan_directory_async(host_path)
# Override name if provided
skill_name = str(parameters.get('name') or scanned['name']).strip()
if not skill_name:
raise ValueError('skill name is required')
# Create the skill
created = await skill_service.create_skill(
{
'name': skill_name,
'display_name': str(parameters.get('display_name') or scanned.get('display_name', '')).strip(),
'description': str(parameters.get('description') or scanned.get('description', '')).strip(),
'instructions': str(parameters.get('instructions') or scanned.get('instructions', '')),
'package_root': host_path,
}
)
return {
'registered': True,
'skill_name': skill_name,
'source_path': sandbox_path,
'skill': created,
}
def _resolve_workspace_directory(self, sandbox_path: str) -> str:
"""Resolve sandbox path to host filesystem path."""
box_service = getattr(self.ap, 'box_service', None)
workspace_root = getattr(box_service, 'default_workspace', None)
if not workspace_root:
raise ValueError('No default workspace configured')
normalized_path = str(sandbox_path).strip() or '/workspace'
if not normalized_path.startswith('/workspace'):
raise ValueError('path must be under /workspace')
relative = normalized_path[len('/workspace') :].lstrip('/')
host_root = os.path.realpath(workspace_root)
host_path = os.path.realpath(os.path.join(host_root, relative))
# Security check: ensure path doesn't escape workspace
if not (host_path == host_root or host_path.startswith(host_root + os.sep)):
raise ValueError('path escapes the workspace boundary')
if getattr(box_service, 'available', False):
return host_path
if not os.path.isdir(host_path):
raise ValueError(f'Directory does not exist: {sandbox_path}')
return host_path
def _build_activate_skill_tool(self) -> resource_tool.LLMTool:
return resource_tool.LLMTool(
name=ACTIVATE_SKILL_TOOL_NAME,
human_desc='Activate a skill',
description=self._build_activate_tool_description(),
parameters={
'type': 'object',
'properties': {
'skill_name': {
'type': 'string',
'description': 'The skill name to activate (no arguments). E.g., "pdf" or "data-analysis"',
},
},
'required': ['skill_name'],
'additionalProperties': False,
},
func=lambda parameters: parameters,
)
def _build_register_skill_tool(self) -> resource_tool.LLMTool:
return resource_tool.LLMTool(
name=REGISTER_SKILL_TOOL_NAME,
human_desc='Register a skill from sandbox',
description=(
"Register a skill package from a directory under /workspace into LangBot's skill store. "
'Use this after creating or preparing a skill in the sandbox with exec/read/write/edit. '
'The directory must contain a SKILL.md file. '
'After registration, the skill can be activated with the activate tool.'
),
parameters={
'type': 'object',
'properties': {
'path': {
'type': 'string',
'description': 'Directory path under /workspace containing the skill package (must have SKILL.md)',
},
'name': {
'type': 'string',
'description': 'Optional skill name override. Defaults to the name in SKILL.md or directory name.',
},
'display_name': {
'type': 'string',
'description': 'Optional display name override.',
},
'description': {
'type': 'string',
'description': 'Optional description override.',
},
'instructions': {
'type': 'string',
'description': 'Optional instructions override.',
},
},
'required': ['path'],
'additionalProperties': False,
},
func=lambda parameters: parameters,
)
def _build_activate_tool_description(self) -> str:
"""Build tool description with embedded available_skills list."""
skill_mgr = getattr(self.ap, 'skill_mgr', None)
if skill_mgr is None:
return 'Activate a skill. No skills are currently available.'
skills = getattr(skill_mgr, 'skills', {})
if not skills:
return 'Activate a skill. No skills are currently available.'
# Build <available_skills> section
available_skills_lines = ['<available_skills>']
for skill_name, skill_data in sorted(skills.items()):
description = skill_data.get('description', '')
available_skills_lines.append('<skill>')
available_skills_lines.append(f'<name>{skill_name}</name>')
available_skills_lines.append(f'<description>{description}</description>')
available_skills_lines.append('</skill>')
available_skills_lines.append('</available_skills>')
available_skills_block = '\n'.join(available_skills_lines)
return f"""Activate a skill within the main conversation.
<skills_instructions>
When users ask you to perform tasks, check if any of the available skills
below can help complete the task more effectively. Skills provide specialized
capabilities and domain knowledge.
How to use skills:
- Invoke skills using this tool with the skill name only (no arguments)
- When you invoke a skill, you will see <command-message>
The skill is activated
</command-message>
- The skill's instructions will be provided in the tool result
- Examples:
- skill_name: "pdf" - invoke the pdf skill
- skill_name: "data-analysis" - invoke the data-analysis skill
Important:
- Only use skills listed in <available_skills> below
- Do not invoke a skill that is already running
- To create a new skill: prepare it in /workspace, then use register_skill tool
</skills_instructions>
{available_skills_block}"""

View File

@@ -1,19 +1,15 @@
from __future__ import annotations
import typing
from typing import TYPE_CHECKING
from ...core import app
from langbot.pkg.utils import importutil
from langbot.pkg.provider.tools import loaders
from langbot.pkg.provider.tools.loaders import mcp as mcp_loader, plugin as plugin_loader
import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
from langbot_plugin.api.entities.events import pipeline_query
if TYPE_CHECKING:
from ...core import app
from langbot.pkg.provider.tools.loaders import (
mcp as mcp_loader,
native as native_loader,
plugin as plugin_loader,
skill_authoring as skill_authoring_loader,
)
importutil.import_modules_in_pkg(loaders)
class ToolManager:
@@ -21,53 +17,31 @@ class ToolManager:
ap: app.Application
native_tool_loader: native_loader.NativeToolLoader
plugin_tool_loader: plugin_loader.PluginToolLoader
mcp_tool_loader: mcp_loader.MCPLoader
skill_tool_loader: skill_authoring_loader.SkillToolLoader
def __init__(self, ap: app.Application):
self.ap = ap
async def initialize(self):
from langbot.pkg.utils import importutil
from langbot.pkg.provider.tools import loaders
from langbot.pkg.provider.tools.loaders import (
mcp as mcp_loader,
native as native_loader,
plugin as plugin_loader,
skill_authoring as skill_authoring_loader,
)
importutil.import_modules_in_pkg(loaders)
self.native_tool_loader = native_loader.NativeToolLoader(self.ap)
await self.native_tool_loader.initialize()
self.plugin_tool_loader = plugin_loader.PluginToolLoader(self.ap)
await self.plugin_tool_loader.initialize()
self.mcp_tool_loader = mcp_loader.MCPLoader(self.ap)
await self.mcp_tool_loader.initialize()
self.skill_tool_loader = skill_authoring_loader.SkillToolLoader(self.ap)
await self.skill_tool_loader.initialize()
async def get_all_tools(
self,
bound_plugins: list[str] | None = None,
bound_mcp_servers: list[str] | None = None,
include_skill_authoring: bool = False,
self, bound_plugins: list[str] | None = None, bound_mcp_servers: list[str] | None = None
) -> list[resource_tool.LLMTool]:
"""获取所有函数"""
all_functions: list[resource_tool.LLMTool] = []
all_functions.extend(await self.native_tool_loader.get_tools())
if include_skill_authoring:
all_functions.extend(await self.skill_tool_loader.get_tools())
all_functions.extend(await self.plugin_tool_loader.get_tools(bound_plugins))
all_functions.extend(await self.mcp_tool_loader.get_tools(bound_mcp_servers))
return all_functions
async def generate_tools_for_openai(self, use_funcs: list[resource_tool.LLMTool]) -> list:
"""生成函数列表"""
tools = []
for function in use_funcs:
@@ -84,6 +58,28 @@ class ToolManager:
return tools
async def generate_tools_for_anthropic(self, use_funcs: list[resource_tool.LLMTool]) -> list:
"""为anthropic生成函数列表
e.g.
[
{
"name": "get_stock_price",
"description": "Get the current stock price for a given ticker symbol.",
"input_schema": {
"type": "object",
"properties": {
"ticker": {
"type": "string",
"description": "The stock ticker symbol, e.g. AAPL for Apple Inc."
}
},
"required": ["ticker"]
}
}
]
"""
tools = []
for function in use_funcs:
@@ -97,18 +93,16 @@ class ToolManager:
return tools
async def execute_func_call(self, name: str, parameters: dict, query: pipeline_query.Query) -> typing.Any:
if await self.native_tool_loader.has_tool(name):
return await self.native_tool_loader.invoke_tool(name, parameters, query)
"""执行函数调用"""
if await self.plugin_tool_loader.has_tool(name):
return await self.plugin_tool_loader.invoke_tool(name, parameters, query)
if await self.mcp_tool_loader.has_tool(name):
elif await self.mcp_tool_loader.has_tool(name):
return await self.mcp_tool_loader.invoke_tool(name, parameters, query)
if await self.skill_tool_loader.has_tool(name):
return await self.skill_tool_loader.invoke_tool(name, parameters, query)
raise ValueError(f'未找到工具: {name}')
else:
raise ValueError(f'未找到工具: {name}')
async def shutdown(self):
await self.native_tool_loader.shutdown()
"""关闭所有工具"""
await self.plugin_tool_loader.shutdown()
await self.mcp_tool_loader.shutdown()
await self.skill_tool_loader.shutdown()

View File

@@ -1,3 +0,0 @@
from .manager import SkillManager
__all__ = ['SkillManager']

View File

@@ -1,35 +0,0 @@
from __future__ import annotations
import typing
from ..provider.tools.loaders import skill as skill_loader
if typing.TYPE_CHECKING:
from ..core import app
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
# Skill activation is now handled through Tool Call mechanism (activate tool).
# This file is kept for potential future extensions but the text marker
# detection mechanism has been removed.
def register_activated_skill(
ap: app.Application,
query: pipeline_query.Query,
skill_name: str,
) -> bool:
"""Register an activated skill for sandbox mount path resolution.
This is called by the activate tool when a skill is activated via Tool Call.
"""
skill_mgr = getattr(ap, 'skill_mgr', None)
if skill_mgr is None:
return False
skill_data = skill_mgr.get_skill_by_name(skill_name)
if skill_data is None:
return False
skill_loader.register_activated_skill(query, skill_data)
return True

View File

@@ -1,135 +0,0 @@
from __future__ import annotations
import os
import typing
from ..core import app
if typing.TYPE_CHECKING:
pass
class SkillManager:
"""Skill manager backed by Box-managed or local filesystem packages.
In sandbox deployments, skills are loaded from the Box runtime. Local
data/skills remains as the fallback for non-Box development.
Skills are activated through the `activate` tool (Tool Call mechanism),
aligned with Claude Code's design. This protects KV Cache and follows
industry standard.
"""
ap: app.Application
skills: dict[str, dict]
def __init__(self, ap: app.Application):
self.ap = ap
self.skills = {}
async def initialize(self):
await self.reload_skills()
async def reload_skills(self):
"""Reload all skills from the Box runtime.
Box is the only source of truth for skills. When Box is unavailable
(disabled in config or unreachable) the cache is emptied — there is
no local filesystem fallback. Skills whose ``package_root`` is no
longer visible on the LangBot-side filesystem are dropped so they
don't surface as stale ``extra_mounts``.
"""
self.skills = {}
box_service = getattr(self.ap, 'box_service', None)
if box_service is None or not getattr(box_service, 'available', False):
self.ap.logger.info('Box runtime unavailable; skill cache is empty.')
return
try:
dropped = 0
for skill_data in await box_service.list_skills():
skill_name = skill_data.get('name')
if not skill_name:
continue
package_root = str(skill_data.get('package_root', '') or '').strip()
if package_root and not os.path.isdir(package_root):
self.ap.logger.warning(
f'Skill "{skill_name}" reported by Box runtime but '
f'package_root missing on LangBot filesystem '
f'({package_root}); dropping from in-memory cache.'
)
dropped += 1
continue
self.skills[skill_name] = skill_data
if dropped:
self.ap.logger.warning(
f'Loaded {len(self.skills)} skills from Box runtime '
f'({dropped} dropped due to missing package_root).'
)
else:
self.ap.logger.info(f'Loaded {len(self.skills)} skills from Box runtime')
except Exception as exc:
self.ap.logger.warning(f'Failed to load skills from Box runtime: {exc}')
def refresh_skill_from_disk(self, skill_name: str) -> bool:
"""Confirm a single skill is present in the cache.
With Box as the only source of truth, the actual reload is driven by
SkillService callers awaiting ``reload_skills``; this method only
reports whether the cache still has the skill.
"""
if not skill_name:
return False
return skill_name in self.skills
def get_skill_by_name(self, name: str) -> dict | None:
"""Get skill data by name."""
return self.skills.get(name)
def get_skill_index(self, bound_skills: list[str] | None = None) -> str:
"""Render the pipeline-visible skills as a short ``name: description``
index suitable for the system prompt.
``bound_skills`` follows the same convention as
``query.variables['_pipeline_bound_skills']``: ``None`` means every
loaded skill is exposed; an explicit list filters to that subset.
Returns an empty string when no skills are visible.
"""
lines: list[str] = []
for skill in self.skills.values():
name = skill.get('name')
if not name:
continue
if bound_skills is not None and name not in bound_skills:
continue
display = skill.get('display_name') or name
description = (skill.get('description') or '').strip().replace('\n', ' ')
lines.append(f'- {name} ({display}): {description}')
if not lines:
return ''
return 'Available Skills:\n' + '\n'.join(lines)
def build_skill_aware_prompt_addition(self, bound_skills: list[str] | None = None) -> str:
"""Build the system-prompt addendum that makes the LLM aware of the
pipeline-visible skills.
Only metadata (name + description) is injected — the full SKILL.md is
loaded later via the ``activate`` Tool Call, protecting KV cache and
matching Claude Code's progressive disclosure pattern. Returns an
empty string when no skills are visible (no prompt change at all).
"""
skill_index = self.get_skill_index(bound_skills)
if not skill_index:
return ''
return (
'\n\n'
f'{skill_index}\n\n'
"When the user's request clearly matches one or more skills "
'based on their descriptions above, call the `activate` tool with '
'the skill name to load its full instructions. Only the name and '
'description are visible here; the actual instructions arrive as '
'the tool result. If no skill is a clear match, respond normally '
'without activating any skill.'
)

View File

@@ -1,37 +0,0 @@
"""Shared utilities for skill file parsing."""
import yaml
def parse_frontmatter(content: str) -> tuple[dict, str]:
"""Parse YAML frontmatter from markdown content.
Expects format:
---
name: my-skill
description: Does something
---
# Actual instructions...
Returns:
Tuple of (metadata dict, remaining content)
"""
if not content.startswith('---'):
return {}, content
parts = content.split('---', 2)
if len(parts) < 3:
return {}, content
frontmatter_str = parts[1].strip()
instructions = parts[2].strip()
try:
metadata = yaml.safe_load(frontmatter_str) or {}
except yaml.YAMLError:
metadata = {}
if not isinstance(metadata, dict):
metadata = {}
return metadata, instructions

View File

@@ -1,88 +0,0 @@
"""Base class for connectors that may manage a local runtime subprocess."""
from __future__ import annotations
import asyncio
import os
import sys
from typing import TYPE_CHECKING, Awaitable, Callable
if TYPE_CHECKING:
from ..core import app as core_app
class ManagedRuntimeConnector:
"""Base class for connectors that may manage a local runtime subprocess.
Provides shared lifecycle helpers: subprocess launch, health-check retry,
and graceful termination. Concrete connectors (plugin, box, …) inherit
this and add their own protocol-specific logic.
"""
ap: 'core_app.Application'
runtime_subprocess: asyncio.subprocess.Process | None
runtime_subprocess_task: asyncio.Task | None
def __init__(self, ap: 'core_app.Application'):
self.ap = ap
self.runtime_subprocess = None
self.runtime_subprocess_task = None
async def _start_runtime_subprocess(self, *args: str) -> None:
"""Launch a local runtime as a subprocess of the current Python interpreter.
If a subprocess is already running (no *returncode* yet), this is a no-op.
"""
if self.runtime_subprocess is not None and self.runtime_subprocess.returncode is None:
return
python_path = sys.executable
env = os.environ.copy()
self.runtime_subprocess = await asyncio.create_subprocess_exec(
python_path,
*args,
env=env,
)
self.runtime_subprocess_task = asyncio.create_task(self.runtime_subprocess.wait())
async def _wait_until_ready(
self,
check: Callable[[], Awaitable[None]],
retries: int = 40,
interval: float = 0.25,
runtime_name: str = 'runtime',
) -> None:
"""Repeatedly call *check* until it succeeds or retries are exhausted.
Between attempts the method sleeps for *interval* seconds. If the
managed subprocess exits before readiness is confirmed, a
``RuntimeError`` is raised immediately.
"""
last_exc: Exception | None = None
for _ in range(retries):
# Fast-fail if the process already died.
if self.runtime_subprocess is not None and self.runtime_subprocess.returncode is not None:
raise RuntimeError(
f'local {runtime_name} exited before becoming ready (code {self.runtime_subprocess.returncode})'
)
try:
await check()
return
except Exception as exc:
last_exc = exc
await asyncio.sleep(interval)
if last_exc is not None:
raise last_exc
raise RuntimeError(f'local {runtime_name} did not become ready')
def _dispose_subprocess(self) -> None:
"""Terminate the managed subprocess and cancel its wait task."""
if self.runtime_subprocess is not None and self.runtime_subprocess.returncode is None:
self.ap.logger.info('Terminating managed runtime process...')
self.runtime_subprocess.terminate()
if self.runtime_subprocess_task is not None:
self.runtime_subprocess_task.cancel()
self.runtime_subprocess_task = None

View File

@@ -1,70 +1,37 @@
"""Utility functions for finding package resources and runtime data roots."""
"""Utility functions for finding package resources"""
import os
from pathlib import Path
_is_source_install = None
_source_root = None
def _find_source_root() -> Path | None:
"""Locate the LangBot repository root when running from source."""
global _source_root
if _source_root is not None:
return _source_root
current = Path(__file__).resolve()
for parent in current.parents:
if (parent / 'pyproject.toml').exists() and (parent / 'main.py').exists():
_source_root = parent
return parent
_source_root = None
return None
def _check_if_source_install() -> bool:
"""
Check if we're running from the LangBot source tree.
Cached to avoid repeated filesystem scans.
Check if we're running from source directory or an installed package.
Cached to avoid repeated file I/O.
"""
global _is_source_install
if _is_source_install is not None:
return _is_source_install
_is_source_install = _find_source_root() is not None
return _is_source_install
# Check if main.py exists in current directory with LangBot marker
if os.path.exists('main.py'):
try:
with open('main.py', 'r', encoding='utf-8') as f:
# Only read first 500 chars to check for marker
content = f.read(500)
if 'LangBot/main.py' in content:
_is_source_install = True
return True
except (IOError, OSError, UnicodeDecodeError):
# If we can't read the file, assume not a source install
pass
def get_data_root() -> str:
"""
Get the runtime data root.
Priority:
1. LANGBOT_DATA_ROOT environment override
2. Source checkout root /data when running from source
3. Current working directory /data for installed-package usage
"""
env_root = os.environ.get('LANGBOT_DATA_ROOT', '').strip()
if env_root:
return str(Path(env_root).expanduser().resolve())
source_root = _find_source_root()
if source_root is not None:
return str((source_root / 'data').resolve())
return str((Path.cwd() / 'data').resolve())
def get_data_path(*parts: str) -> str:
"""Join path segments under the resolved data root."""
data_root = Path(get_data_root())
if not parts:
return str(data_root)
return str((data_root.joinpath(*parts)).resolve())
_is_source_install = False
return False
def get_frontend_path() -> str:
@@ -109,11 +76,8 @@ def get_resource_path(resource: str) -> str:
Absolute path to the resource
"""
# First, check if resource exists in current directory (source install)
source_root = _find_source_root()
if source_root is not None:
source_resource = source_root / resource
if source_resource.exists():
return str(source_resource)
if _check_if_source_install() and os.path.exists(resource):
return resource
# Second, check current directory anyway
if os.path.exists(resource):

View File

@@ -16,14 +16,7 @@ def get_platform() -> str:
standalone_runtime = False
standalone_box = False
def use_websocket_to_connect_plugin_runtime() -> bool:
"""是否使用 websocket 连接插件运行时"""
return standalone_runtime
def use_websocket_to_connect_box_runtime() -> bool:
"""Whether to use WebSocket to connect to an external box runtime."""
return standalone_box

View File

@@ -1,5 +1,6 @@
from __future__ import annotations
import os
import typing
import logging
@@ -10,7 +11,7 @@ from . import constants
class VersionManager:
"""Version manager"""
"""版本管理器"""
ap: app.Application
@@ -21,68 +22,190 @@ class VersionManager:
pass
def get_current_version(self) -> str:
return constants.semantic_version
current_tag = constants.semantic_version
return current_tag
async def get_release_list(self) -> list:
"""Fetch release list from Space API (cached GitHub releases)."""
"""获取发行列表"""
try:
rls_list_resp = requests.get(
url='https://space.langbot.app/api/v1/dist/info/releases',
url='https://api.github.com/repos/langbot-app/LangBot/releases',
proxies=self.ap.proxy_mgr.get_forward_proxies(),
timeout=10,
timeout=5,
)
rls_list_resp.raise_for_status()
resp_json = rls_list_resp.json()
if resp_json.get('code') == 0 and isinstance(resp_json.get('data'), list):
return resp_json['data']
self.ap.logger.warning(f'Failed to fetch release list: unexpected response: {resp_json.get("msg", "")}')
return []
rls_list_resp.raise_for_status() # 检查请求是否成功
rls_list = rls_list_resp.json()
return rls_list
except Exception as e:
self.ap.logger.warning(f'Failed to fetch release list: {e}')
self.ap.logger.warning(f'获取发行列表失败: {e}')
pass
return []
async def is_new_version_available(self) -> bool:
"""Check whether a newer version is available."""
rls_list = await self.get_release_list()
if not rls_list:
return False
async def update_all(self):
"""检查更新并下载源码"""
current_tag = self.get_current_version()
rls_list = await self.get_release_list()
latest_rls = {}
rls_notes = []
latest_tag_name = ''
for rls in rls_list:
latest_tag_name = rls.get('tag_name', '')
break
rls_notes.append(rls['name']) # 使用发行名称作为note
if latest_tag_name == '':
latest_tag_name = rls['tag_name']
return self._is_newer(latest_tag_name, current_tag)
if rls['tag_name'] == current_tag:
break
def _is_newer(self, new_tag: str, old_tag: str) -> bool:
"""Check if new_tag is a newer version than old_tag.
if latest_rls == {}:
latest_rls = rls
self.ap.logger.info('更新日志: {}'.format(rls_notes))
Compares the first three segments (major.minor.patch) only.
Returns False if the major version differs (breaking change boundary).
"""
if not new_tag or not old_tag or new_tag == old_tag:
if latest_rls == {} and not self.is_newer(latest_tag_name, current_tag): # 没有新版本
return False
new_parts = new_tag.split('.')
old_parts = old_tag.split('.')
# 下载最新版本的zip到temp目录
self.ap.logger.info('开始下载最新版本: {}'.format(latest_rls['zipball_url']))
# Different major version — not considered an upgrade
if new_parts[0] != old_parts[0]:
zip_url = latest_rls['zipball_url']
zip_resp = requests.get(url=zip_url, proxies=self.ap.proxy_mgr.get_forward_proxies())
zip_data = zip_resp.content
# 检查temp/updater目录
if not os.path.exists('temp'):
os.mkdir('temp')
if not os.path.exists('temp/updater'):
os.mkdir('temp/updater')
with open('temp/updater/{}.zip'.format(latest_rls['tag_name']), 'wb') as f:
f.write(zip_data)
self.ap.logger.info('下载最新版本完成: {}'.format('temp/updater/{}.zip'.format(latest_rls['tag_name'])))
# 解压zip到temp/updater/<tag_name>/
import zipfile
# 检查目标文件夹
if os.path.exists('temp/updater/{}'.format(latest_rls['tag_name'])):
import shutil
shutil.rmtree('temp/updater/{}'.format(latest_rls['tag_name']))
os.mkdir('temp/updater/{}'.format(latest_rls['tag_name']))
with zipfile.ZipFile('temp/updater/{}.zip'.format(latest_rls['tag_name']), 'r') as zip_ref:
zip_ref.extractall('temp/updater/{}'.format(latest_rls['tag_name']))
# 覆盖源码
source_root = ''
# 找到temp/updater/<tag_name>/中的第一个子目录路径
for root, dirs, files in os.walk('temp/updater/{}'.format(latest_rls['tag_name'])):
if root != 'temp/updater/{}'.format(latest_rls['tag_name']):
source_root = root
break
# 覆盖源码
import shutil
for root, dirs, files in os.walk(source_root):
# 覆盖所有子文件子目录
for file in files:
src = os.path.join(root, file)
dst = src.replace(source_root, '.')
if os.path.exists(dst):
os.remove(dst)
# 检查目标文件夹是否存在
if not os.path.exists(os.path.dirname(dst)):
os.makedirs(os.path.dirname(dst))
# 检查目标文件是否存在
if not os.path.exists(dst):
# 创建目标文件
open(dst, 'w').close()
shutil.copy(src, dst)
# 把current_tag写入文件
current_tag = latest_rls['tag_name']
with open('current_tag', 'w') as f:
f.write(current_tag)
# TODO statistics
async def is_new_version_available(self) -> bool:
"""检查是否有新版本"""
# 从github获取release列表
rls_list = await self.get_release_list()
if rls_list is None:
return False
if len(new_parts) < 4:
# 获取当前版本
current_tag = self.get_current_version()
# 检查是否有新版本
latest_tag_name = ''
for rls in rls_list:
if latest_tag_name == '':
latest_tag_name = rls['tag_name']
break
return self.is_newer(latest_tag_name, current_tag)
def is_newer(self, new_tag: str, old_tag: str):
"""判断版本是否更新,忽略第四位版本和第一位版本"""
if new_tag == old_tag:
return False
new_tag = new_tag.split('.')
old_tag = old_tag.split('.')
# 判断主版本是否相同
if new_tag[0] != old_tag[0]:
return False
if len(new_tag) < 4:
return True
return '.'.join(new_parts[:3]) != '.'.join(old_parts[:3])
# 合成前三段,判断是否相同
new_tag = '.'.join(new_tag[:3])
old_tag = '.'.join(old_tag[:3])
return new_tag != old_tag
def compare_version_str(v0: str, v1: str) -> int:
"""比较两个版本号"""
# 删除版本号前的v
if v0.startswith('v'):
v0 = v0[1:]
if v1.startswith('v'):
v1 = v1[1:]
v0: list = v0.split('.')
v1: list = v1.split('.')
# 如果两个版本号节数不同把短的后面用0补齐
if len(v0) < len(v1):
v0.extend(['0'] * (len(v1) - len(v0)))
elif len(v0) > len(v1):
v1.extend(['0'] * (len(v0) - len(v1)))
# 从高位向低位比较
for i in range(len(v0)):
if int(v0[i]) > int(v1[i]):
return 1
elif int(v0[i]) < int(v1[i]):
return -1
return 0
async def show_version_update(self) -> typing.Tuple[str, int]:
try:
if await self.is_new_version_available():
if await self.ap.ver_mgr.is_new_version_available():
return (
'New version available. Update guide: https://link.langbot.app/en/docs/update',
'New version available:\n有新版本可用,根据文档更新: \nhttps://link.langbot.app/zh/docs/update',
logging.INFO,
)
except Exception as e:
return f'Error checking version update: {e}', logging.WARNING

View File

@@ -104,31 +104,6 @@ monitoring:
check_interval_hours: 1
# Number of expired rows to delete per table batch
delete_batch_size: 1000
box:
# Master switch for the Box sandbox runtime. When false, LangBot does NOT
# attempt to connect to a remote Box runtime nor start a local stdio Box
# subprocess. Disabling Box also disables every feature that depends on it:
# the native sandbox tools (exec/read/write/edit/glob/grep), the activate
# skill tool, skill add/edit, and stdio-mode MCP servers. Skills can still
# be listed read-only and http/sse MCP servers continue to work.
enabled: true
backend: 'local' # 'local' (Docker/nsjail), 'docker', 'nsjail', or 'e2b'. Can be written via BOX__BACKEND.
runtime:
endpoint: '' # External Box Runtime base URL, e.g. 'ws://127.0.0.1:5410'. Leave empty for local auto-managed runtime.
local:
profile: 'default'
image: '' # Custom local sandbox image. Leave empty to use the profile default.
host_root: './data/box' # Base host directory for local workspace mounts. Docker deployments should override this with an absolute host path.
default_workspace: '' # Defaults to '<host_root>/default'. Relative paths are resolved under host_root.
skills_root: 'skills' # Box-owned skill package directory. Relative paths are resolved under host_root.
allowed_mount_roots: # Defaults to ['<host_root>'] when left empty.
- './data/box'
- '/tmp'
workspace_quota_mb: null # Optional disk quota override (>= 0). null = profile default.
e2b:
api_key: '' # Can also be set via E2B_API_KEY env var.
api_url: '' # Custom API URL for self-hosted deployments.
template: '' # Default template ID (e.g. 'base', 'python-3.11').
space:
# Space service URL for OAuth and API
url: 'https://space.langbot.app'

View File

@@ -50,11 +50,10 @@
"prompt": [
{
"role": "system",
"content": "You are a helpful assistant. When tools are available, use them for exact calculations, data processing, and code execution instead of guessing. Unless the user explicitly asks for code or a script, return the result directly instead of printing the generated code."
"content": "You are a helpful assistant."
}
],
"knowledge-bases": [],
"box-session-id-template": "{launcher_type}_{launcher_id}",
"rerank-model": "",
"rerank-top-k": 5
},

View File

@@ -124,99 +124,6 @@ stages:
field: __system.is_wizard
operator: neq
value: true
- name: box-session-id-template
label:
en_US: Sandbox Scope
zh_Hans: 沙箱作用域
zh_Hant: 沙箱作用域
ja_JP: サンドボックススコープ
vi_VN: Phạm vi Sandbox
th_TH: ขอบเขต Sandbox
es_ES: Alcance del Sandbox
ru_RU: Область песочницы
description:
en_US: Determines how sandbox environments are shared across messages.
zh_Hans: 决定沙箱环境在不同消息间的共享方式。
zh_Hant: 決定沙箱環境在不同訊息間的共享方式。
ja_JP: メッセージ間でサンドボックス環境を共有する方法を決定します。
vi_VN: Xác định cách chia sẻ môi trường sandbox giữa các tin nhắn.
th_TH: กำหนดวิธีแชร์สภาพแวดล้อม Sandbox ระหว่างข้อความ
es_ES: Determina cómo se comparten los entornos sandbox entre mensajes.
ru_RU: Определяет, как песочницы используются совместно между сообщениями.
disable_if:
field: __system.box_available
operator: eq
value: false
disabled_tooltip:
en_US: >-
Box sandbox is disabled or unavailable. Enable it in config.yaml
(box.enabled = true) and ensure the runtime is reachable to change
this setting.
zh_Hans: Box 沙箱已禁用或不可用。请在配置中启用box.enabled = true并确认运行时连接正常才能修改此项。
zh_Hant: Box 沙箱已停用或無法使用。請在設定中啟用box.enabled = true並確認執行時連線正常才能修改此項。
ja_JP: Box サンドボックスが無効または利用できません。設定で有効化box.enabled = trueし、ランタイムが接続できることを確認してから変更してください。
vi_VN: Sandbox Box đã tắt hoặc không khả dụng. Hãy bật trong cấu hình (box.enabled = true) và đảm bảo runtime hoạt động để chỉnh sửa.
th_TH: Sandbox Box ถูกปิดใช้งานหรือไม่พร้อมใช้งาน กรุณาเปิดใช้งานในการตั้งค่า (box.enabled = true) และตรวจสอบว่ารันไทม์เชื่อมต่อปกติก่อนปรับค่า
es_ES: El sandbox de Box está desactivado o no disponible. Actívelo en la configuración (box.enabled = true) y asegúrese de que el runtime esté conectado para modificar este ajuste.
ru_RU: Песочница Box отключена или недоступна. Включите её в конфигурации (box.enabled = true) и убедитесь, что среда выполнения работает, чтобы изменить эту настройку.
type: select
required: false
default: "{launcher_type}_{launcher_id}"
options:
- name: "{global}"
label:
en_US: Global (shared by all)
zh_Hans: 全局(所有人共享)
zh_Hant: 全域(所有人共用)
ja_JP: グローバル(全員共有)
vi_VN: Toàn cục (chia sẻ cho tất cả)
th_TH: ทั่วไป (แชร์ทั้งหมด)
es_ES: Global (compartido por todos)
ru_RU: Глобальный (общий для всех)
- name: "{launcher_type}_{launcher_id}"
label:
en_US: Per chat (Recommended)
zh_Hans: 每个会话(推荐)
zh_Hant: 每個會話(推薦)
ja_JP: チャットごと(推奨)
vi_VN: Mỗi cuộc trò chuyện (Khuyến nghị)
th_TH: ต่อแชท (แนะนำ)
es_ES: Por chat (Recomendado)
ru_RU: По чату (Рекомендуется)
- name: "{launcher_type}_{launcher_id}_{sender_id}"
label:
en_US: Per user in chat
zh_Hans: 会话中每个用户
zh_Hant: 會話中每個用戶
ja_JP: チャット内のユーザーごと
vi_VN: Mỗi người dùng trong cuộc trò chuyện
th_TH: ต่อผู้ใช้ในแชท
es_ES: Por usuario en chat
ru_RU: По пользователю в чате
- name: "{launcher_type}_{launcher_id}_{conversation_id}"
label:
en_US: Per conversation context
zh_Hans: 每个对话上下文
zh_Hant: 每個對話上下文
ja_JP: 会話コンテキストごと
vi_VN: Mỗi ngữ cảnh hội thoại
th_TH: ต่อบริบทการสนทนา
es_ES: Por contexto de conversación
ru_RU: По контексту разговора
- name: "{query_id}"
label:
en_US: Per message (isolated)
zh_Hans: 每条消息(完全隔离)
zh_Hant: 每條訊息(完全隔離)
ja_JP: メッセージごと(隔離)
vi_VN: Mỗi tin nhắn (cách ly)
th_TH: ต่อข้อความ (แยกส่วน)
es_ES: Por mensaje (aislado)
ru_RU: По сообщению (изолированно)
show_if:
field: __system.is_wizard
operator: neq
value: true
- name: rerank-model
label:
en_US: Rerank Model

View File

@@ -1,21 +0,0 @@
<!DOCTYPE html>
<html lang="zh">
<head>
<meta charset="UTF-8">
<title>LangBot Embed Widget Test</title>
<style>
body { font-family: sans-serif; padding: 40px; background: #f5f5f5; }
h1 { margin-bottom: 10px; }
p { color: #666; }
code { background: #e0e0e0; padding: 2px 6px; border-radius: 3px; }
</style>
</head>
<body>
<h1>LangBot Embed Widget Test Page</h1>
<p>If the widget loaded correctly, you should see a blue chat bubble in the bottom-right corner.</p>
<p>Replace the <code>BOT_UUID</code> below with your actual bot UUID.</p>
<!-- Replace BOT_UUID with your real bot UUID -->
<script data-title="LangBot" src="http://localhost:5300/api/v1/embed/a0ab80e7-742a-445f-bd0e-7d9758f1cfa7/widget.js"></script>
</body>
</html>

View File

@@ -15,7 +15,7 @@ class FakeApp:
def __init__(
self,
*,
command_prefix: list[str] = ['/', '!'],
command_prefix: list[str] = ["/", "!"],
command_enable: bool = True,
pipeline_concurrency: int = 10,
admins: list[str] | None = None,
@@ -40,8 +40,6 @@ class FakeApp:
self.telemetry = self._create_mock_telemetry()
self.survey = None
self.cmd_mgr = self._create_mock_cmd_mgr()
self.skill_mgr = self._create_mock_skill_mgr()
self.pipeline_service = self._create_mock_pipeline_service()
# Apply any extra attributes for specific test scenarios
for name, value in extra_attrs.items():
@@ -100,9 +98,9 @@ class FakeApp:
):
instance_config = Mock()
instance_config.data = {
'command': {'prefix': command_prefix, 'enable': command_enable},
'concurrency': {'pipeline': pipeline_concurrency},
'admins': admins,
"command": {"prefix": command_prefix, "enable": command_enable},
"concurrency": {"pipeline": pipeline_concurrency},
"admins": admins,
}
return instance_config
@@ -121,20 +119,6 @@ class FakeApp:
cmd_mgr.execute = AsyncMock()
return cmd_mgr
def _create_mock_skill_mgr(self):
"""Mock SkillManager that returns no skill index addition by default."""
skill_mgr = Mock()
skill_mgr.skills = {}
skill_mgr.build_skill_aware_prompt_addition = Mock(return_value='')
skill_mgr.get_skill_index = Mock(return_value=[])
return skill_mgr
def _create_mock_pipeline_service(self):
"""Mock PipelineService.get_pipeline returning empty extensions prefs."""
pipeline_service = AsyncMock()
pipeline_service.get_pipeline = AsyncMock(return_value={'extensions_preferences': {}})
return pipeline_service
def capture_message(self, message):
"""Capture an outbound message for test assertions."""
self._outbound_messages.append(message)
@@ -150,4 +134,4 @@ class FakeApp:
def fake_app(**kwargs) -> FakeApp:
"""Create a FakeApp instance with optional overrides."""
return FakeApp(**kwargs)
return FakeApp(**kwargs)

View File

@@ -20,7 +20,6 @@ pytestmark = pytest.mark.integration
# ============== FIXTURE FOR SYS.MODULES ISOLATION ==============
@pytest.fixture(scope='module')
def mock_circular_import_chain():
"""Break circular import chain for API controller."""
@@ -54,25 +53,21 @@ def mock_circular_import_chain():
):
# Import groups after mocking to populate preregistered_groups
import langbot.pkg.api.http.controller.groups.pipelines.pipelines as _pipelines # noqa: E402, F401
yield
# ============== FAKE APPLICATION WITH PIPELINE SERVICES ==============
@pytest.fixture(scope='module')
def fake_pipeline_app():
"""Create FakeApp with pipeline-specific services (module scope for reuse)."""
app = FakeApp()
# Pipeline config
app.instance_config.data.update(
{
'api': {'port': 5300},
'system': {'allow_modify_login_info': True, 'limitation': {}},
}
)
app.instance_config.data.update({
'api': {'port': 5300},
'system': {'allow_modify_login_info': True, 'limitation': {}},
})
# Auth services
app.user_service = Mock()
@@ -84,31 +79,25 @@ def fake_pipeline_app():
# Pipeline service
app.pipeline_service = Mock()
app.pipeline_service.get_pipeline_metadata = AsyncMock(
return_value=[
{'name': 'trigger', 'stages': []},
{'name': 'ai', 'stages': []},
]
)
app.pipeline_service.get_pipelines = AsyncMock(
return_value=[
{
'uuid': 'test-pipeline-uuid',
'name': 'Test Pipeline',
'description': 'Test description',
'created_at': '2024-01-01T00:00:00',
'updated_at': '2024-01-01T00:00:00',
'is_default': False,
}
]
)
app.pipeline_service.get_pipeline = AsyncMock(
return_value={
app.pipeline_service.get_pipeline_metadata = AsyncMock(return_value=[
{'name': 'trigger', 'stages': []},
{'name': 'ai', 'stages': []},
])
app.pipeline_service.get_pipelines = AsyncMock(return_value=[
{
'uuid': 'test-pipeline-uuid',
'name': 'Test Pipeline',
'config': {},
'description': 'Test description',
'created_at': '2024-01-01T00:00:00',
'updated_at': '2024-01-01T00:00:00',
'is_default': False,
}
)
])
app.pipeline_service.get_pipeline = AsyncMock(return_value={
'uuid': 'test-pipeline-uuid',
'name': 'Test Pipeline',
'config': {},
})
app.pipeline_service.create_pipeline = AsyncMock(return_value={'uuid': 'new-pipeline-uuid'})
app.pipeline_service.update_pipeline = AsyncMock(return_value={})
app.pipeline_service.delete_pipeline = AsyncMock()
@@ -123,10 +112,6 @@ def fake_pipeline_app():
app.mcp_service = Mock()
app.mcp_service.get_mcp_servers = AsyncMock(return_value=[])
# Skill service (for extensions endpoint)
app.skill_service = Mock()
app.skill_service.list_skills = AsyncMock(return_value=[])
# Plugin connector (for extensions endpoint)
app.plugin_connector.list_plugins = AsyncMock(return_value=[])
@@ -145,7 +130,6 @@ async def quart_test_client(fake_pipeline_app, http_controller_cls):
# ============== PIPELINE ENDPOINT TESTS ==============
@pytest.mark.usefixtures('mock_circular_import_chain')
class TestPipelineMetadataEndpoint:
"""Tests for /api/v1/pipelines/_/metadata endpoint."""
@@ -154,7 +138,8 @@ class TestPipelineMetadataEndpoint:
async def test_get_pipeline_metadata_success(self, quart_test_client):
"""GET /api/v1/pipelines/_/metadata returns metadata list."""
response = await quart_test_client.get(
'/api/v1/pipelines/_/metadata', headers={'Authorization': 'Bearer test_token'}
'/api/v1/pipelines/_/metadata',
headers={'Authorization': 'Bearer test_token'}
)
assert response.status_code == 200
@@ -177,7 +162,10 @@ class TestPipelinesListEndpoint:
@pytest.mark.asyncio
async def test_get_pipelines_success(self, quart_test_client):
"""GET /api/v1/pipelines returns pipeline list."""
response = await quart_test_client.get('/api/v1/pipelines', headers={'Authorization': 'Bearer test_token'})
response = await quart_test_client.get(
'/api/v1/pipelines',
headers={'Authorization': 'Bearer test_token'}
)
assert response.status_code == 200
data = await response.get_json()
@@ -188,7 +176,8 @@ class TestPipelinesListEndpoint:
async def test_get_pipelines_with_sort_param(self, quart_test_client):
"""GET pipelines with sort parameter."""
response = await quart_test_client.get(
'/api/v1/pipelines?sort_by=created_at&sort_order=DESC', headers={'Authorization': 'Bearer test_token'}
'/api/v1/pipelines?sort_by=created_at&sort_order=DESC',
headers={'Authorization': 'Bearer test_token'}
)
assert response.status_code == 200
@@ -204,7 +193,8 @@ class TestPipelinesCRUDEndpoints:
async def test_get_single_pipeline_success(self, quart_test_client):
"""GET /api/v1/pipelines/{uuid} returns pipeline."""
response = await quart_test_client.get(
'/api/v1/pipelines/test-pipeline-uuid', headers={'Authorization': 'Bearer test_token'}
'/api/v1/pipelines/test-pipeline-uuid',
headers={'Authorization': 'Bearer test_token'}
)
assert response.status_code == 200
@@ -218,7 +208,7 @@ class TestPipelinesCRUDEndpoints:
response = await quart_test_client.post(
'/api/v1/pipelines',
headers={'Authorization': 'Bearer test_token'},
json={'name': 'New Pipeline', 'config': {}},
json={'name': 'New Pipeline', 'config': {}}
)
assert response.status_code == 200
@@ -232,7 +222,7 @@ class TestPipelinesCRUDEndpoints:
response = await quart_test_client.put(
'/api/v1/pipelines/test-pipeline-uuid',
headers={'Authorization': 'Bearer test_token'},
json={'name': 'Updated Pipeline'},
json={'name': 'Updated Pipeline'}
)
assert response.status_code == 200
@@ -243,7 +233,8 @@ class TestPipelinesCRUDEndpoints:
async def test_delete_pipeline_success(self, quart_test_client):
"""DELETE /api/v1/pipelines/{uuid} deletes pipeline."""
response = await quart_test_client.delete(
'/api/v1/pipelines/test-pipeline-uuid', headers={'Authorization': 'Bearer test_token'}
'/api/v1/pipelines/test-pipeline-uuid',
headers={'Authorization': 'Bearer test_token'}
)
assert response.status_code == 200
@@ -254,7 +245,8 @@ class TestPipelinesCRUDEndpoints:
async def test_copy_pipeline_success(self, quart_test_client):
"""POST /api/v1/pipelines/{uuid}/copy copies pipeline."""
response = await quart_test_client.post(
'/api/v1/pipelines/test-pipeline-uuid/copy', headers={'Authorization': 'Bearer test_token'}
'/api/v1/pipelines/test-pipeline-uuid/copy',
headers={'Authorization': 'Bearer test_token'}
)
assert response.status_code == 200
@@ -271,7 +263,8 @@ class TestPipelineExtensionsEndpoint:
async def test_get_extensions(self, quart_test_client):
"""GET /api/v1/pipelines/{uuid}/extensions."""
response = await quart_test_client.get(
'/api/v1/pipelines/test-pipeline-uuid/extensions', headers={'Authorization': 'Bearer test_token'}
'/api/v1/pipelines/test-pipeline-uuid/extensions',
headers={'Authorization': 'Bearer test_token'}
)
# Should return 200 if pipeline found

View File

@@ -1,329 +0,0 @@
"""Integration tests for LangBot Box.
These tests verify the end-to-end behavior of the Box sandbox execution
system. Tests decorated with ``requires_container`` need a real container
runtime (Podman or Docker) and are skipped otherwise.
CI only runs ``tests/unit_tests/``, so these tests never execute in the
CI pipeline. Run them locally with::
pytest tests/integration_tests/ -v
"""
from __future__ import annotations
import asyncio
import logging
import shutil
import socket
import subprocess
from types import SimpleNamespace
import pytest
from langbot.pkg.box.service import BoxService
from langbot_plugin.box.backend import BaseSandboxBackend
from langbot_plugin.box.client import ActionRPCBoxClient
from langbot_plugin.box.errors import BoxBackendUnavailableError
from langbot_plugin.box.models import BoxExecutionStatus, BoxNetworkMode, BoxSpec
from langbot_plugin.box.runtime import BoxRuntime
from langbot_plugin.box.server import BoxServerHandler
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
_logger = logging.getLogger('test.box.integration')
# Default image for integration tests — small and fast to pull.
_TEST_IMAGE = 'alpine:latest'
# ── Skip helpers ──────────────────────────────────────────────────────
def _has_container_runtime() -> bool:
for cmd in ('podman', 'docker'):
if shutil.which(cmd) is None:
continue
try:
result = subprocess.run(
[cmd, 'info'],
capture_output=True,
timeout=10,
)
if result.returncode == 0:
return True
except Exception:
continue
return False
def _can_open_test_socket() -> bool:
try:
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
except OSError:
return False
sock.close()
return True
requires_container = pytest.mark.skipif(
not _has_container_runtime(),
reason='no container runtime (podman/docker) available',
)
requires_socket = pytest.mark.skipif(
not _can_open_test_socket(),
reason='local test environment does not permit opening TCP sockets',
)
# ── Helpers ──────────────────────────────────────────────────────────
class _QueueConnection:
"""In-process Connection backed by asyncio Queues — no real IO."""
def __init__(self, rx: asyncio.Queue[str], tx: asyncio.Queue[str]):
self._rx = rx
self._tx = tx
async def send(self, message: str) -> None:
await self._tx.put(message)
async def receive(self) -> str:
return await self._rx.get()
async def close(self) -> None:
pass
async def _make_rpc_pair(runtime: BoxRuntime):
"""Create an in-process (ActionRPCBoxClient, server_task, client_task) connected via queues."""
from langbot_plugin.runtime.io.handler import Handler
c2s: asyncio.Queue[str] = asyncio.Queue()
s2c: asyncio.Queue[str] = asyncio.Queue()
client_conn = _QueueConnection(rx=s2c, tx=c2s)
server_conn = _QueueConnection(rx=c2s, tx=s2c)
server_handler = BoxServerHandler(server_conn, runtime)
server_task = asyncio.create_task(server_handler.run())
client_handler = Handler.__new__(Handler)
Handler.__init__(client_handler, client_conn)
client_task = asyncio.create_task(client_handler.run())
client = ActionRPCBoxClient(logger=_logger)
client.set_handler(client_handler)
return client, server_task, client_task
# ── Fixtures ──────────────────────────────────────────────────────────
@pytest.fixture
async def box_client():
"""Yield an ActionRPCBoxClient backed by a real BoxRuntime via in-process RPC."""
runtime = BoxRuntime(logger=_logger)
await runtime.initialize()
client, server_task, client_task = await _make_rpc_pair(runtime)
yield client
server_task.cancel()
client_task.cancel()
await runtime.shutdown()
# ── 1. Simple command execution ───────────────────────────────────────
@requires_container
@requires_socket
@pytest.mark.asyncio
async def test_exec_simple_command(box_client: ActionRPCBoxClient):
"""Box starts a simple command and returns stdout."""
spec = BoxSpec(
cmd='echo hello-box',
session_id='int-simple',
workdir='/tmp',
image=_TEST_IMAGE,
)
result = await box_client.execute(spec)
assert result.status == BoxExecutionStatus.COMPLETED
assert result.exit_code == 0
assert 'hello-box' in result.stdout
# ── 2. Session file persistence ───────────────────────────────────────
@requires_container
@requires_socket
@pytest.mark.asyncio
async def test_session_persists_files(box_client: ActionRPCBoxClient):
"""Write a file in one exec, read it back in a second exec on the same session."""
sid = 'int-persist'
write_result = await box_client.execute(
BoxSpec(
cmd='echo "hello from file" > /tmp/testfile.txt',
session_id=sid,
workdir='/tmp',
image=_TEST_IMAGE,
)
)
assert write_result.exit_code == 0
read_result = await box_client.execute(
BoxSpec(
cmd='cat /tmp/testfile.txt',
session_id=sid,
workdir='/tmp',
image=_TEST_IMAGE,
)
)
assert read_result.exit_code == 0
assert 'hello from file' in read_result.stdout
# ── 3. Timeout handling ───────────────────────────────────────────────
@requires_container
@requires_socket
@pytest.mark.asyncio
async def test_timeout_kills_command(box_client: ActionRPCBoxClient):
"""A long-running command is killed after timeout_sec."""
session_id = 'int-timeout'
spec = BoxSpec(
cmd='sleep 120',
session_id=session_id,
workdir='/tmp',
timeout_sec=3,
image=_TEST_IMAGE,
)
result = await box_client.execute(spec)
assert result.status == BoxExecutionStatus.TIMED_OUT
assert result.exit_code is None
sessions = await box_client.get_sessions()
assert all(session['session_id'] != session_id for session in sessions)
# ── 4. Network isolation ─────────────────────────────────────────────
@requires_container
@requires_socket
@pytest.mark.asyncio
async def test_offline_cannot_reach_network(box_client: ActionRPCBoxClient):
"""With network=OFF the sandbox cannot reach the internet."""
spec = BoxSpec(
cmd='wget -q -O /dev/null --timeout=3 http://1.1.1.1 2>&1; exit $?',
session_id='int-offline',
workdir='/tmp',
network=BoxNetworkMode.OFF,
image=_TEST_IMAGE,
)
result = await box_client.execute(spec)
assert result.exit_code != 0
# ── 5. Backend unavailable ───────────────────────────────────────────
class _UnavailableBackend(BaseSandboxBackend):
"""A backend that always reports itself as unavailable."""
name = 'unavailable'
def __init__(self):
super().__init__(logging.getLogger('test'))
async def is_available(self) -> bool:
return False
async def start_session(self, spec):
raise NotImplementedError
async def exec(self, session, spec):
raise NotImplementedError
async def stop_session(self, session):
pass
@requires_socket
@pytest.mark.asyncio
async def test_backend_unavailable_returns_error():
"""When no backend is available the full RPC path returns BoxBackendUnavailableError."""
runtime = BoxRuntime(logger=_logger, backends=[_UnavailableBackend()])
await runtime.initialize()
client, server_task, client_task = await _make_rpc_pair(runtime)
try:
spec = BoxSpec(
cmd='echo hello',
session_id='int-no-backend',
workdir='/tmp',
)
with pytest.raises(BoxBackendUnavailableError):
await client.execute(spec)
finally:
server_task.cancel()
client_task.cancel()
await runtime.shutdown()
# ── 6. Full service-to-runtime path ──────────────────────────────────
@requires_container
@requires_socket
@pytest.mark.asyncio
async def test_full_service_to_remote_runtime(tmp_path):
"""BoxService -> ActionRPCBoxClient -> RPC -> BoxRuntime -> real backend."""
runtime = BoxRuntime(logger=_logger)
await runtime.initialize()
client, server_task, client_task = await _make_rpc_pair(runtime)
try:
host_dir = tmp_path / 'workspace'
host_dir.mkdir()
mock_ap = SimpleNamespace(
logger=_logger,
instance_config=SimpleNamespace(
data={
'box': {
'backend': 'local',
'runtime': {'endpoint': ''},
'local': {
'profile': 'default',
'allowed_mount_roots': [str(tmp_path)],
'default_workspace': str(host_dir),
},
'e2b': {'api_key': '', 'api_url': '', 'template': ''},
}
}
),
)
service = BoxService(mock_ap, client=client)
await service.initialize()
query = pipeline_query.Query.model_construct(query_id=42)
result = await service.execute_tool(
{'command': 'echo service-path'},
query,
)
assert result['ok'] is True
assert result['status'] == 'completed'
assert 'service-path' in result['stdout']
assert result['session_id'] == 'query_42'
finally:
server_task.cancel()
client_task.cancel()
await runtime.shutdown()

View File

@@ -1,368 +0,0 @@
"""Integration tests for Box MCP-related features.
These tests verify managed process lifecycle, WebSocket stdio attach,
session cleanup, and the single-session query API using a real container
runtime.
CI only runs ``tests/unit_tests/``, so these tests never execute in the
CI pipeline. Run them locally with::
pytest tests/integration_tests/box/test_box_mcp_integration.py -v
"""
from __future__ import annotations
import asyncio
import logging
import shutil
import socket
import subprocess
import aiohttp
import pytest
from aiohttp.test_utils import TestServer
from langbot_plugin.box.client import ActionRPCBoxClient
from langbot_plugin.box.errors import BoxManagedProcessNotFoundError, BoxSessionNotFoundError
from langbot_plugin.box.models import BoxManagedProcessSpec, BoxManagedProcessStatus, BoxSpec
from langbot_plugin.box.runtime import BoxRuntime
from langbot_plugin.box.server import BoxServerHandler, create_ws_relay_app
_logger = logging.getLogger('test.box.mcp_integration')
_TEST_IMAGE = 'alpine:latest'
# ── Skip helpers ──────────────────────────────────────────────────────
def _has_container_runtime() -> bool:
for cmd in ('podman', 'docker'):
if shutil.which(cmd) is None:
continue
try:
result = subprocess.run([cmd, 'info'], capture_output=True, timeout=10)
if result.returncode == 0:
return True
except Exception:
continue
return False
def _can_open_test_socket() -> bool:
try:
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
except OSError:
return False
sock.close()
return True
requires_container = pytest.mark.skipif(
not _has_container_runtime(),
reason='no container runtime (podman/docker) available',
)
requires_socket = pytest.mark.skipif(
not _can_open_test_socket(),
reason='local test environment does not permit opening TCP sockets',
)
# ── Helpers ──────────────────────────────────────────────────────────
class _QueueConnection:
"""In-process Connection backed by asyncio Queues — no real IO."""
def __init__(self, rx: asyncio.Queue[str], tx: asyncio.Queue[str]):
self._rx = rx
self._tx = tx
async def send(self, message: str) -> None:
await self._tx.put(message)
async def receive(self) -> str:
return await self._rx.get()
async def close(self) -> None:
pass
async def _make_rpc_pair(runtime: BoxRuntime):
"""Create an in-process RPC pair connected via queues."""
from langbot_plugin.runtime.io.handler import Handler
c2s: asyncio.Queue[str] = asyncio.Queue()
s2c: asyncio.Queue[str] = asyncio.Queue()
client_conn = _QueueConnection(rx=s2c, tx=c2s)
server_conn = _QueueConnection(rx=c2s, tx=s2c)
server_handler = BoxServerHandler(server_conn, runtime)
server_task = asyncio.create_task(server_handler.run())
client_handler = Handler.__new__(Handler)
Handler.__init__(client_handler, client_conn)
client_task = asyncio.create_task(client_handler.run())
client = ActionRPCBoxClient(logger=_logger)
client.set_handler(client_handler)
return client, server_task, client_task
# ── Fixtures ──────────────────────────────────────────────────────────
@pytest.fixture
async def box_server():
"""Yield a (ws_relay_url, ActionRPCBoxClient) backed by a real BoxRuntime."""
runtime = BoxRuntime(logger=_logger)
await runtime.initialize()
# Start ws relay for managed process attach
ws_app = create_ws_relay_app(runtime)
ws_server = TestServer(ws_app)
await ws_server.start_server()
client, server_task, client_task = await _make_rpc_pair(runtime)
ws_relay_url = str(ws_server.make_url(''))
yield ws_relay_url, client
server_task.cancel()
client_task.cancel()
await runtime.shutdown()
await ws_server.close()
# ── 1. Managed process lifecycle ─────────────────────────────────────
@requires_container
@requires_socket
@pytest.mark.asyncio
async def test_managed_process_start_and_query(box_server):
"""Start a managed process and query its status."""
ws_relay_url, client = box_server
# Create session
spec = BoxSpec(
cmd='',
session_id='mcp-int-lifecycle',
workdir='/tmp',
image=_TEST_IMAGE,
)
await client.create_session(spec)
# Start a managed process that stays alive
proc_spec = BoxManagedProcessSpec(
command='sh',
args=['-c', 'while true; do sleep 1; done'],
cwd='/tmp',
)
info = await client.start_managed_process('mcp-int-lifecycle', proc_spec)
assert info.status == BoxManagedProcessStatus.RUNNING
# Query it
info2 = await client.get_managed_process('mcp-int-lifecycle')
assert info2.status == BoxManagedProcessStatus.RUNNING
assert info2.command == 'sh'
# Stop only the managed process while keeping the session available
await client.stop_managed_process('mcp-int-lifecycle')
with pytest.raises(BoxManagedProcessNotFoundError):
await client.get_managed_process('mcp-int-lifecycle')
session_info = await client.get_session('mcp-int-lifecycle')
assert session_info['session_id'] == 'mcp-int-lifecycle'
# Cleanup
await client.delete_session('mcp-int-lifecycle')
# ── 2. WebSocket stdio attach ────────────────────────────────────────
@requires_container
@requires_socket
@pytest.mark.asyncio
async def test_ws_stdio_attach_echo(box_server):
"""Attach to a managed process via WebSocket and verify bidirectional IO."""
ws_relay_url, client = box_server
spec = BoxSpec(
cmd='',
session_id='mcp-int-ws',
workdir='/tmp',
image=_TEST_IMAGE,
)
await client.create_session(spec)
# Start a cat process (echoes stdin to stdout)
proc_spec = BoxManagedProcessSpec(
command='cat',
args=[],
cwd='/tmp',
)
await client.start_managed_process('mcp-int-ws', proc_spec)
# Connect via WebSocket (ws relay)
ws_url = client.get_managed_process_websocket_url('mcp-int-ws', ws_relay_url)
session = aiohttp.ClientSession()
try:
async with session.ws_connect(ws_url) as ws:
# Send a line
await ws.send_str('hello from test')
# Expect to receive it back (cat echoes)
msg = await asyncio.wait_for(ws.receive(), timeout=5)
assert msg.type == aiohttp.WSMsgType.TEXT
assert 'hello from test' in msg.data
finally:
await session.close()
await client.delete_session('mcp-int-ws')
# ── 3. Session cleanup removes container ─────────────────────────────
@requires_container
@requires_socket
@pytest.mark.asyncio
async def test_delete_session_cleans_up(box_server):
"""After deleting a session, it should no longer exist."""
ws_relay_url, client = box_server
spec = BoxSpec(
cmd='',
session_id='mcp-int-cleanup',
workdir='/tmp',
image=_TEST_IMAGE,
)
await client.create_session(spec)
# Start a process
proc_spec = BoxManagedProcessSpec(
command='sleep',
args=['3600'],
cwd='/tmp',
)
await client.start_managed_process('mcp-int-cleanup', proc_spec)
# Delete
await client.delete_session('mcp-int-cleanup')
# Session should be gone
with pytest.raises(BoxSessionNotFoundError):
await client.get_session('mcp-int-cleanup')
# ── 4. GET session details ────────────────────────────────────────
@requires_container
@requires_socket
@pytest.mark.asyncio
async def test_get_session_returns_details(box_server):
"""Get single session returns session details and managed process info."""
ws_relay_url, client = box_server
spec = BoxSpec(
cmd='',
session_id='mcp-int-get',
workdir='/tmp',
image=_TEST_IMAGE,
)
await client.create_session(spec)
# Query without managed process
info = await client.get_session('mcp-int-get')
assert info['session_id'] == 'mcp-int-get'
assert info['image'] == _TEST_IMAGE
assert 'managed_process' not in info
# Start a process and query again
proc_spec = BoxManagedProcessSpec(
command='sleep',
args=['3600'],
cwd='/tmp',
)
await client.start_managed_process('mcp-int-get', proc_spec)
info2 = await client.get_session('mcp-int-get')
assert info2['session_id'] == 'mcp-int-get'
assert 'managed_process' in info2
assert info2['managed_process']['status'] == BoxManagedProcessStatus.RUNNING.value
await client.delete_session('mcp-int-get')
# ── 5. Process exit detected ────────────────────────────────────────
@requires_container
@requires_socket
@pytest.mark.asyncio
async def test_process_exit_detected(box_server):
"""When a managed process exits, its status should reflect EXITED."""
ws_relay_url, client = box_server
spec = BoxSpec(
cmd='',
session_id='mcp-int-exit',
workdir='/tmp',
image=_TEST_IMAGE,
)
await client.create_session(spec)
# Start a process that exits immediately
proc_spec = BoxManagedProcessSpec(
command='sh',
args=['-c', 'echo done && exit 0'],
cwd='/tmp',
)
await client.start_managed_process('mcp-int-exit', proc_spec)
# Wait a bit for process to exit
await asyncio.sleep(2)
info = await client.get_managed_process('mcp-int-exit')
assert info.status == BoxManagedProcessStatus.EXITED
assert info.exit_code == 0
await client.delete_session('mcp-int-exit')
# ── 6. Instance ID orphan cleanup ───────────────────────────────────
@requires_container
@requires_socket
@pytest.mark.asyncio
async def test_orphan_cleanup_preserves_own_containers(box_server):
"""Orphan cleanup should not remove containers belonging to the current instance."""
ws_relay_url, client = box_server
# Create a session (container gets current instance ID label)
spec = BoxSpec(
cmd='',
session_id='mcp-int-orphan',
workdir='/tmp',
image=_TEST_IMAGE,
)
await client.create_session(spec)
# Verify session exists
sessions = await client.get_sessions()
assert any(s['session_id'] == 'mcp-int-orphan' for s in sessions)
# Trigger status check (which doesn't clean up own containers)
status = await client.get_status()
assert status['active_sessions'] >= 1
# Our session should still exist
sessions = await client.get_sessions()
assert any(s['session_id'] == 'mcp-int-orphan' for s in sessions)
await client.delete_session('mcp-int-orphan')

View File

@@ -1,106 +0,0 @@
from __future__ import annotations
from types import SimpleNamespace
from unittest.mock import Mock
import pytest
from langbot_plugin.box.client import ActionRPCBoxClient
from langbot.pkg.box.connector import BoxRuntimeConnector
def make_app(logger: Mock, runtime_endpoint: str = ''):
return SimpleNamespace(
logger=logger,
instance_config=SimpleNamespace(
data={
'box': {
'backend': 'local',
'runtime': {'endpoint': runtime_endpoint},
'local': {
'profile': 'default',
'allowed_mount_roots': [],
'default_workspace': '',
},
'e2b': {'api_key': '', 'api_url': '', 'template': ''},
}
}
),
)
def test_box_runtime_connector_stdio_when_no_url(monkeypatch: pytest.MonkeyPatch):
"""Without runtime.endpoint, on a non-Docker Unix platform, use stdio."""
monkeypatch.setattr('langbot.pkg.utils.platform.get_platform', lambda: 'linux')
monkeypatch.setattr('langbot.pkg.utils.platform.standalone_box', False)
connector = BoxRuntimeConnector(make_app(Mock()))
assert connector._uses_websocket() is False
assert isinstance(connector.client, ActionRPCBoxClient)
def test_box_runtime_connector_ws_when_url_configured(monkeypatch: pytest.MonkeyPatch):
"""With an explicit runtime.endpoint, always use WebSocket."""
monkeypatch.setattr('langbot.pkg.utils.platform.get_platform', lambda: 'linux')
monkeypatch.setattr('langbot.pkg.utils.platform.standalone_box', False)
logger = Mock()
connector = BoxRuntimeConnector(make_app(logger, runtime_endpoint='http://box-runtime:5410'))
assert connector._uses_websocket() is True
assert isinstance(connector.client, ActionRPCBoxClient)
def test_box_runtime_connector_ws_in_docker(monkeypatch: pytest.MonkeyPatch):
"""Inside Docker (no explicit URL), use WebSocket to reach a sibling container."""
monkeypatch.setattr('langbot.pkg.utils.platform.get_platform', lambda: 'docker')
monkeypatch.setattr('langbot.pkg.utils.platform.standalone_box', False)
connector = BoxRuntimeConnector(make_app(Mock()))
assert connector._uses_websocket() is True
assert connector.ws_relay_base_url == 'http://langbot_box:5410'
def test_box_runtime_connector_ws_with_standalone_flag(monkeypatch: pytest.MonkeyPatch):
"""With --standalone-box flag, use WebSocket even on a local Unix platform."""
monkeypatch.setattr('langbot.pkg.utils.platform.get_platform', lambda: 'linux')
monkeypatch.setattr('langbot.pkg.utils.platform.standalone_box', True)
connector = BoxRuntimeConnector(make_app(Mock()))
assert connector._uses_websocket() is True
def test_box_runtime_connector_ws_relay_url_default(monkeypatch: pytest.MonkeyPatch):
monkeypatch.setattr('langbot.pkg.utils.platform.get_platform', lambda: 'linux')
monkeypatch.setattr('langbot.pkg.utils.platform.standalone_box', False)
connector = BoxRuntimeConnector(make_app(Mock()))
assert connector.ws_relay_base_url == 'http://127.0.0.1:5410'
def test_box_runtime_connector_ws_relay_url_explicit(monkeypatch: pytest.MonkeyPatch):
monkeypatch.setattr('langbot.pkg.utils.platform.get_platform', lambda: 'linux')
monkeypatch.setattr('langbot.pkg.utils.platform.standalone_box', False)
connector = BoxRuntimeConnector(make_app(Mock(), runtime_endpoint='http://box-runtime:5410'))
assert connector.ws_relay_base_url == 'http://box-runtime:5410'
def test_box_runtime_connector_dispose_terminates_subprocess(monkeypatch: pytest.MonkeyPatch):
monkeypatch.setattr('langbot.pkg.utils.platform.get_platform', lambda: 'linux')
monkeypatch.setattr('langbot.pkg.utils.platform.standalone_box', False)
logger = Mock()
connector = BoxRuntimeConnector(make_app(logger))
subprocess = Mock()
subprocess.returncode = None
handler_task = Mock()
ctrl_task = Mock()
connector._subprocess = subprocess
connector._handler_task = handler_task
connector._ctrl_task = ctrl_task
connector.dispose()
subprocess.terminate.assert_called_once()
handler_task.cancel.assert_called_once()
ctrl_task.cancel.assert_called_once()
assert connector._handler_task is None
assert connector._ctrl_task is None

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View File

@@ -1,147 +0,0 @@
from __future__ import annotations
import os
import tempfile
from types import SimpleNamespace
from unittest.mock import AsyncMock, Mock
import pytest
from langbot.pkg.box.workspace import (
BoxWorkspaceSession,
classify_python_workspace,
infer_workspace_host_path,
rewrite_mounted_path,
wrap_python_command_with_env,
)
def test_rewrite_mounted_path_translates_host_prefix():
result = rewrite_mounted_path('/tmp/demo/project/app.py', '/tmp/demo/project')
assert result == '/workspace/app.py'
def test_infer_workspace_host_path_unwraps_virtualenv_bin_dir():
with tempfile.TemporaryDirectory() as tmpdir:
project_root = os.path.join(tmpdir, 'project')
os.makedirs(os.path.join(project_root, '.venv', 'bin'))
python_bin = os.path.join(project_root, '.venv', 'bin', 'python')
script = os.path.join(project_root, 'server.py')
with open(python_bin, 'w', encoding='utf-8') as handle:
handle.write('')
with open(script, 'w', encoding='utf-8') as handle:
handle.write('print("ok")\n')
result = infer_workspace_host_path(python_bin, [script])
assert result == os.path.realpath(project_root)
def test_classify_python_workspace_detects_package_and_requirements():
with tempfile.TemporaryDirectory() as tmpdir:
assert classify_python_workspace(tmpdir) is None
with open(os.path.join(tmpdir, 'requirements.txt'), 'w', encoding='utf-8') as handle:
handle.write('requests\n')
assert classify_python_workspace(tmpdir) == 'requirements'
with open(os.path.join(tmpdir, 'pyproject.toml'), 'w', encoding='utf-8') as handle:
handle.write('[project]\nname = "demo"\n')
assert classify_python_workspace(tmpdir) == 'package'
def test_wrap_python_command_with_env_contains_bootstrap_and_command():
command = wrap_python_command_with_env('python script.py')
assert 'python -m venv "$_LB_VENV_DIR"' in command
assert 'export VIRTUAL_ENV="$_LB_VENV_DIR"' in command
assert command.rstrip().endswith('python script.py')
@pytest.mark.asyncio
async def test_workspace_session_execute_for_query_uses_session_payload():
box_service = SimpleNamespace(execute_spec_payload=AsyncMock(return_value={'ok': True}))
workspace = BoxWorkspaceSession(
box_service,
'skill-person_123-demo',
host_path='/tmp/project',
host_path_mode='rw',
env={'FOO': 'bar'},
)
query = SimpleNamespace(query_id='q1')
result = await workspace.execute_for_query(query, 'python run.py', workdir='/workspace', timeout_sec=30)
assert result == {'ok': True}
payload = box_service.execute_spec_payload.await_args.args[0]
assert payload == {
'session_id': 'skill-person_123-demo',
'workdir': '/workspace',
'env': {'FOO': 'bar'},
'persistent': False,
'host_path': '/tmp/project',
'host_path_mode': 'rw',
'cmd': 'python run.py',
'timeout_sec': 30,
}
@pytest.mark.asyncio
async def test_workspace_session_start_managed_process_rewrites_command_and_args():
box_service = SimpleNamespace(start_managed_process=AsyncMock(return_value={'status': 'running'}))
workspace = BoxWorkspaceSession(
box_service,
'mcp-u1',
host_path='/tmp/project',
host_path_mode='ro',
)
result = await workspace.start_managed_process(
'/tmp/project/.venv/bin/python',
['/tmp/project/server.py', '--config', '/tmp/project/config.json'],
env={'TOKEN': '1'},
)
assert result == {'status': 'running'}
session_id = box_service.start_managed_process.await_args.args[0]
payload = box_service.start_managed_process.await_args.args[1]
assert session_id == 'mcp-u1'
assert payload == {
'command': 'python',
'args': ['/workspace/server.py', '--config', '/workspace/config.json'],
'env': {'TOKEN': '1'},
'cwd': '/workspace',
'process_id': 'default',
}
def test_workspace_session_build_session_payload_keeps_generic_workspace_shape():
workspace = BoxWorkspaceSession(
Mock(),
'workspace-1',
host_path='/tmp/project',
host_path_mode='rw',
env={'FOO': 'bar'},
network='on',
read_only_rootfs=False,
image='python:3.11',
cpus=1.0,
memory_mb=512,
pids_limit=128,
)
assert workspace.build_session_payload() == {
'session_id': 'workspace-1',
'workdir': '/workspace',
'env': {'FOO': 'bar'},
'persistent': False,
'network': 'on',
'read_only_rootfs': False,
'host_path': '/tmp/project',
'host_path_mode': 'rw',
'image': 'python:3.11',
'cpus': 1.0,
'memory_mb': 512,
'pids_limit': 128,
}

View File

@@ -12,12 +12,6 @@ from __future__ import annotations
import pytest
from unittest.mock import AsyncMock, Mock
# Preload pipelinemgr so the pipeline.stage module is fully initialised before
# any individual stage test (e.g. preproc, longtext) tries to import it. Without
# this, running a stage test in isolation triggers a circular-import error:
# stage.py → core.app → pipelinemgr → stage.stage_class (not yet bound).
import langbot.pkg.pipeline.pipelinemgr # noqa: F401
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
import langbot_plugin.api.entities.builtin.platform.message as platform_message
import langbot_plugin.api.entities.builtin.platform.events as platform_events
@@ -40,9 +34,6 @@ class MockApplication:
self.query_pool = self._create_mock_query_pool()
self.instance_config = self._create_mock_instance_config()
self.task_mgr = self._create_mock_task_manager()
# Skill manager is optional; PreProcessor only touches it for the
# local-agent runner. None keeps the skill-binding branch inert.
self.skill_mgr = None
def _create_mock_logger(self):
logger = Mock()

View File

@@ -1,78 +0,0 @@
from __future__ import annotations
from unittest.mock import Mock
import pytest
import langbot_plugin.api.entities.builtin.provider.message as provider_message
# TODO: unskip once the handler ↔ app circular import is resolved
pytest.skip(
'circular import in handler ↔ app; will be unblocked once resolved',
allow_module_level=True,
)
from langbot.pkg.pipeline.process.handler import MessageHandler # noqa: E402
class _StubHandler(MessageHandler):
async def handle(self, query):
raise NotImplementedError
handler = _StubHandler(ap=Mock())
def test_chat_handler_formats_tool_call_request_log():
result = provider_message.Message(
role='assistant',
content='',
tool_calls=[
provider_message.ToolCall(
id='call-1',
type='function',
function=provider_message.FunctionCall(name='exec', arguments='{}'),
)
],
)
summary = handler.format_result_log(result)
assert summary == 'assistant: requested tools: exec'
def test_chat_handler_formats_tool_result_log():
result = provider_message.Message(
role='tool',
content='{"status":"completed","exit_code":0,"backend":"podman","stdout":"42\\n"}',
tool_call_id='call-1',
)
summary = handler.format_result_log(result)
# Tool results use generic cut_str truncation
assert summary is not None
assert summary.startswith('tool: {"status":"com')
assert summary.endswith('...')
def test_chat_handler_formats_tool_error_log():
result = provider_message.MessageChunk(
role='tool',
content='err: host_path must point to an existing directory on the host',
tool_call_id='call-1',
is_final=True,
)
summary = handler.format_result_log(result)
assert summary is not None
assert summary.startswith('tool error: err: host_path must')
assert summary.endswith('...')
def test_chat_handler_skips_empty_assistant_log():
result = provider_message.Message(role='assistant', content='')
summary = handler.format_result_log(result)
assert summary is None

View File

@@ -14,43 +14,33 @@ import json
import sys
from unittest.mock import AsyncMock, MagicMock, Mock, patch
import pytest
import langbot_plugin.api.entities.builtin.provider.message as provider_message
# Break the circular import chain while importing n8nsvapi:
# Break the circular import chain before importing n8nsvapi:
# n8nsvapi → runner → app → pipelinemgr → all runners → runner (partially init)
# The stubs are restored in a ``finally`` block so this module does NOT pollute
# sys.modules for other test modules (e.g. ones importing the real
# LocalAgentRunner, which would otherwise inherit ``object`` and break).
# Mirrors master's intent but uses try/finally so a raised import doesn't
# leave the global namespace in a stubbed state, and includes
# ``langbot.pkg.utils.httpclient`` which master didn't stub.
_runner_stub = MagicMock()
_runner_stub.runner_class = lambda name: (lambda cls: cls) # no-op decorator
_runner_stub.RequestRunner = object
_import_stubs = {
'langbot.pkg.provider.runner': _runner_stub,
_mock_runner = MagicMock()
_mock_runner.runner_class = lambda name: (lambda cls: cls) # no-op decorator
_mock_runner.RequestRunner = object
_mocked_imports = {
'langbot.pkg.provider.runner': _mock_runner,
'langbot.pkg.core.app': MagicMock(),
'langbot.pkg.utils.httpclient': MagicMock(),
}
_saved_modules = {name: sys.modules.get(name) for name in _import_stubs}
for _name, _stub in _import_stubs.items():
sys.modules[_name] = _stub
try:
from langbot.pkg.provider.runners.n8nsvapi import N8nServiceAPIRunner
finally:
for _name, _original in _saved_modules.items():
if _original is None:
sys.modules.pop(_name, None)
else:
sys.modules[_name] = _original
_original_imports = {name: sys.modules.get(name) for name in _mocked_imports}
sys.modules.update(_mocked_imports)
import pytest # noqa: E402
import langbot_plugin.api.entities.builtin.provider.message as provider_message # noqa: E402
from langbot.pkg.provider.runners.n8nsvapi import N8nServiceAPIRunner # noqa: E402
for _name, _original in _original_imports.items():
if _original is None:
sys.modules.pop(_name, None)
else:
sys.modules[_name] = _original
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def make_runner(output_key: str = 'response') -> N8nServiceAPIRunner:
ap = Mock()
ap.logger = Mock()
@@ -93,7 +83,6 @@ async def collect_chunks(runner: N8nServiceAPIRunner, chunks: list[bytes | str])
# _process_response: stream format (type:item/end)
# ---------------------------------------------------------------------------
@pytest.mark.asyncio
async def test_stream_format_single_item():
"""Single item + end in one chunk yields final chunk with full content."""
@@ -176,7 +165,6 @@ async def test_stream_format_no_spurious_empty_yield():
# _process_response: plain JSON fallback
# ---------------------------------------------------------------------------
@pytest.mark.asyncio
async def test_plain_json_with_output_key():
"""Plain JSON with matching output_key extracts value via output_key."""
@@ -247,7 +235,6 @@ async def test_invalid_json_returns_raw_text():
# _call_webhook: output type depends on is_stream
# ---------------------------------------------------------------------------
def make_query(is_stream: bool):
"""Build a minimal Query mock."""
query = Mock()

View File

@@ -1,242 +0,0 @@
from __future__ import annotations
import json
from types import SimpleNamespace
from unittest.mock import AsyncMock, Mock
import pytest
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
import langbot_plugin.api.entities.builtin.provider.message as provider_message
import langbot_plugin.api.entities.builtin.provider.session as provider_session
from langbot.pkg.provider.runners.localagent import LocalAgentRunner
class RecordingProvider:
def __init__(self):
self.requests: list[dict] = []
async def invoke_llm(self, query, model, messages, funcs, extra_args=None, remove_think=None):
self.requests.append(
{
'messages': list(messages),
'funcs': list(funcs),
'remove_think': remove_think,
}
)
if len(self.requests) == 1:
return provider_message.Message(
role='assistant',
content='Let me calculate that exactly.',
tool_calls=[
provider_message.ToolCall(
id='call-1',
type='function',
function=provider_message.FunctionCall(
name='exec',
arguments=json.dumps(
{'command': ("python - <<'PY'\nnums = [1, 2, 3, 4]\nprint(sum(nums) / len(nums))\nPY")}
),
),
)
],
)
tool_result = json.loads(messages[-1].content)
return provider_message.Message(
role='assistant',
content=f'The average is {tool_result["stdout"]}.',
)
class RecordingStreamProvider:
def __init__(self):
self.stream_requests: list[dict] = []
def invoke_llm_stream(self, query, model, messages, funcs, extra_args=None, remove_think=None):
self.stream_requests.append(
{
'messages': list(messages),
'funcs': list(funcs),
'remove_think': remove_think,
}
)
async def _stream():
if len(self.stream_requests) == 1:
yield provider_message.MessageChunk(
role='assistant',
tool_calls=[
provider_message.ToolCall(
id='call-1',
type='function',
function=provider_message.FunctionCall(
name='exec',
arguments=json.dumps({'command': "python -c 'print(1)'"}),
),
)
],
is_final=True,
)
return
yield provider_message.MessageChunk(
role='assistant',
content='Tool execution failed.',
is_final=True,
)
return _stream()
def make_query() -> pipeline_query.Query:
adapter = AsyncMock()
adapter.is_stream_output_supported = AsyncMock(return_value=False)
return pipeline_query.Query.model_construct(
query_id='avg-query',
launcher_type=provider_session.LauncherTypes.PERSON,
launcher_id=12345,
sender_id=12345,
message_chain=[],
message_event=None,
adapter=adapter,
pipeline_uuid='pipeline-uuid',
bot_uuid='bot-uuid',
pipeline_config={
'ai': {
'runner': {'runner': 'local-agent'},
'local-agent': {'model': {'primary': 'test-model-uuid', 'fallbacks': []}, 'prompt': 'test-prompt'},
},
'output': {'misc': {'remove-think': False}},
},
prompt=SimpleNamespace(messages=[]),
messages=[],
user_message=provider_message.Message(
role='user',
content='Please calculate the average of 1, 2, 3, and 4.',
),
use_funcs=[SimpleNamespace(name='exec')],
use_llm_model_uuid='test-model-uuid',
variables={},
)
@pytest.mark.asyncio
async def test_localagent_uses_exec_for_exact_calculation():
provider = RecordingProvider()
model = SimpleNamespace(
provider=provider,
model_entity=SimpleNamespace(
uuid='test-model-uuid',
name='test-model',
abilities=['func_call'],
extra_args={},
),
)
tool_manager = SimpleNamespace(
execute_func_call=AsyncMock(
return_value={
'session_id': 'avg-query',
'backend': 'podman',
'status': 'completed',
'ok': True,
'exit_code': 0,
'stdout': '2.5',
'stderr': '',
'duration_ms': 18,
}
)
)
app = SimpleNamespace(
logger=Mock(),
model_mgr=SimpleNamespace(get_model_by_uuid=AsyncMock(return_value=model)),
tool_mgr=tool_manager,
rag_mgr=SimpleNamespace(),
box_service=SimpleNamespace(
get_system_guidance=Mock(
return_value=(
'When the exec tool is available, use it for exact calculations, statistics, '
'structured data parsing, and code execution instead of estimating mentally. '
'Unless the user explicitly asks for the script, code, or implementation details, '
'do not include the generated script in the final answer. '
'A default workspace is mounted at /workspace for file tasks.'
)
),
),
skill_mgr=SimpleNamespace(
get_skills_for_pipeline=AsyncMock(return_value=[]),
detect_skill_activation=AsyncMock(return_value=None),
build_activation_prompt=Mock(return_value=None),
),
)
runner = LocalAgentRunner(app, pipeline_config={})
query = make_query()
results = [message async for message in runner.run(query)]
assert [message.role for message in results] == ['assistant', 'tool', 'assistant']
assert results[-1].content == 'The average is 2.5.'
tool_manager.execute_func_call.assert_awaited_once()
tool_name, tool_parameters = tool_manager.execute_func_call.await_args.args[:2]
assert tool_name == 'exec'
assert 'print(sum(nums) / len(nums))' in tool_parameters['command']
first_request = provider.requests[0]
assert any(
message.role == 'system'
and 'exec' in str(message.content)
and 'exact calculations' in str(message.content)
and 'Unless the user explicitly asks for the script' in str(message.content)
and '/workspace' in str(message.content)
for message in first_request['messages']
)
assert [tool.name for tool in first_request['funcs']] == ['exec']
@pytest.mark.asyncio
async def test_localagent_streaming_tool_error_yields_message_chunks():
provider = RecordingStreamProvider()
model = SimpleNamespace(
provider=provider,
model_entity=SimpleNamespace(
uuid='test-model-uuid',
name='test-model',
abilities=['func_call'],
extra_args={},
),
)
adapter = AsyncMock()
adapter.is_stream_output_supported = AsyncMock(return_value=True)
query = make_query()
query.adapter = adapter
app = SimpleNamespace(
logger=Mock(),
model_mgr=SimpleNamespace(get_model_by_uuid=AsyncMock(return_value=model)),
tool_mgr=SimpleNamespace(execute_func_call=AsyncMock(side_effect=RuntimeError('boom'))),
rag_mgr=SimpleNamespace(),
box_service=SimpleNamespace(
get_system_guidance=Mock(return_value='sandbox guidance'),
),
skill_mgr=SimpleNamespace(
get_skills_for_pipeline=AsyncMock(return_value=[]),
detect_skill_activation=AsyncMock(return_value=None),
build_activation_prompt=Mock(return_value=None),
),
)
runner = LocalAgentRunner(app, pipeline_config={})
results = [message async for message in runner.run(query)]
assert all(isinstance(message, provider_message.MessageChunk) for message in results)
assert any(message.role == 'tool' and message.content == 'err: boom' for message in results)

View File

@@ -1,712 +0,0 @@
"""Tests for MCP Box integration: path rewriting, host_path inference, config model, payloads.
Uses importlib.util.spec_from_file_location to load mcp.py directly without
triggering the circular import chain through the app module.
"""
from __future__ import annotations
import importlib
import importlib.util
import os
import sys
import tempfile
import types
from contextlib import asynccontextmanager
from types import SimpleNamespace
from unittest.mock import AsyncMock, Mock
import pytest
# ---------------------------------------------------------------------------
# Load mcp.py directly from file path, with stub dependencies
# ---------------------------------------------------------------------------
def _stub_module(fqn: str, attrs: dict | None = None, is_package: bool = False):
"""Create or return a stub module and register it in sys.modules."""
if fqn in sys.modules:
mod = sys.modules[fqn]
else:
mod = types.ModuleType(fqn)
mod.__spec__ = importlib.machinery.ModuleSpec(fqn, None, is_package=is_package)
if is_package:
mod.__path__ = []
sys.modules[fqn] = mod
parts = fqn.rsplit('.', 1)
if len(parts) == 2 and parts[0] in sys.modules:
setattr(sys.modules[parts[0]], parts[1], mod)
if attrs:
for k, v in attrs.items():
setattr(mod, k, v)
return mod
@pytest.fixture(scope='module', autouse=True)
def mcp_module():
"""Load mcp.py with minimal stubs to avoid circular imports."""
saved = {}
def _save_and_stub(name, attrs=None, is_package=False):
saved[name] = sys.modules.get(name)
# Don't overwrite modules that already exist (from other test modules)
if name in sys.modules:
return
_stub_module(name, attrs, is_package)
# Stub entire dependency chains as packages / modules
_save_and_stub('langbot_plugin', is_package=True)
_save_and_stub('langbot_plugin.api', is_package=True)
_save_and_stub('langbot_plugin.api.entities', is_package=True)
_save_and_stub('langbot_plugin.api.entities.events', is_package=True)
_save_and_stub('langbot_plugin.api.entities.events.pipeline_query', {})
_save_and_stub('langbot_plugin.api.entities.builtin', is_package=True)
_save_and_stub('langbot_plugin.api.entities.builtin.resource', is_package=True)
_save_and_stub(
'langbot_plugin.api.entities.builtin.resource.tool',
{
'LLMTool': type('LLMTool', (), {}),
},
)
_save_and_stub('langbot_plugin.api.entities.builtin.provider', is_package=True)
_save_and_stub('langbot_plugin.api.entities.builtin.provider.message', {})
_save_and_stub('sqlalchemy', {'select': Mock()})
_save_and_stub('httpx', {'AsyncClient': Mock()})
_save_and_stub('mcp', {'ClientSession': Mock, 'StdioServerParameters': Mock}, is_package=True)
_save_and_stub('mcp.client', is_package=True)
_save_and_stub('mcp.client.stdio', {'stdio_client': Mock()})
_save_and_stub('mcp.client.sse', {'sse_client': Mock()})
_save_and_stub('mcp.client.streamable_http', {'streamable_http_client': Mock()})
_save_and_stub('mcp.client.websocket', {'websocket_client': Mock()})
# Stub the provider.tools.loader (source of circular import)
_save_and_stub('langbot', is_package=True)
_save_and_stub('langbot.pkg', is_package=True)
_save_and_stub('langbot.pkg.provider', is_package=True)
_save_and_stub('langbot.pkg.provider.tools', is_package=True)
_save_and_stub(
'langbot.pkg.provider.tools.loader',
{
'ToolLoader': type('ToolLoader', (), {'__init__': lambda self, ap: None}),
},
)
_save_and_stub('langbot.pkg.provider.tools.loaders', is_package=True)
_save_and_stub('langbot.pkg.core', is_package=True)
_save_and_stub('langbot.pkg.core.app', {'Application': type('Application', (), {})})
_save_and_stub('langbot.pkg.entity', is_package=True)
_save_and_stub('langbot.pkg.entity.persistence', is_package=True)
_save_and_stub('langbot.pkg.entity.persistence.mcp', {})
# box models
import enum as _enum
class _BPS(str, _enum.Enum):
RUNNING = 'running'
EXITED = 'exited'
_save_and_stub('langbot_plugin.box', is_package=True)
_save_and_stub('langbot_plugin.box.models', {'BoxManagedProcessStatus': _BPS})
# Now load mcp.py via spec_from_file_location
mod_fqn = 'langbot.pkg.provider.tools.loaders.mcp'
sys.modules.pop(mod_fqn, None)
mcp_path = os.path.join(
os.path.dirname(__file__),
'..',
'..',
'..',
'src',
'langbot',
'pkg',
'provider',
'tools',
'loaders',
'mcp.py',
)
mcp_path = os.path.normpath(mcp_path)
pkg_root = os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(mcp_path))))
sys.modules['langbot.pkg'].__path__ = [pkg_root]
sys.modules['langbot.pkg.provider.tools.loaders'].__path__ = [os.path.dirname(mcp_path)]
spec = importlib.util.spec_from_file_location(mod_fqn, mcp_path)
mod = importlib.util.module_from_spec(spec)
sys.modules[mod_fqn] = mod
spec.loader.exec_module(mod)
yield mod
# Cleanup
sys.modules.pop(mod_fqn, None)
sys.modules.pop('langbot.pkg.provider.tools.loaders.mcp_stdio', None)
sys.modules.pop('langbot.pkg.box.workspace', None)
for name in reversed(list(saved)):
if saved[name] is None:
sys.modules.pop(name, None)
else:
sys.modules[name] = saved[name]
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _make_ap():
ap = Mock()
ap.logger = Mock()
ap.box_service = Mock()
return ap
def _make_session(mcp_module, server_config: dict, ap=None):
if ap is None:
ap = _make_ap()
return mcp_module.RuntimeMCPSession(
server_name=server_config.get('name', 'test-server'),
server_config=server_config,
enable=True,
ap=ap,
)
# ── MCPServerBoxConfig ──────────────────────────────────────────────
class TestMCPServerBoxConfig:
def test_default_values(self, mcp_module):
cfg = mcp_module.MCPServerBoxConfig.model_validate({})
assert cfg.image is None
assert cfg.network == 'on'
assert cfg.host_path is None
assert cfg.host_path_mode == 'ro'
assert cfg.env == {}
assert cfg.startup_timeout_sec == 120
assert cfg.cpus is None
assert cfg.memory_mb is None
assert cfg.pids_limit is None
assert cfg.read_only_rootfs is None
def test_custom_values(self, mcp_module):
cfg = mcp_module.MCPServerBoxConfig.model_validate(
{
'image': 'node:20',
'network': 'on',
'host_path': '/home/user/mcp',
'host_path_mode': 'rw',
'env': {'FOO': 'bar'},
'startup_timeout_sec': 60,
'cpus': 2.0,
'memory_mb': 1024,
'pids_limit': 256,
'read_only_rootfs': False,
}
)
assert cfg.image == 'node:20'
assert cfg.network == 'on'
assert cfg.cpus == 2.0
assert cfg.memory_mb == 1024
def test_extra_fields_ignored(self, mcp_module):
cfg = mcp_module.MCPServerBoxConfig.model_validate(
{
'image': 'node:20',
'unknown_field': 'whatever',
}
)
assert cfg.image == 'node:20'
assert not hasattr(cfg, 'unknown_field')
# ── Path Rewriting ──────────────────────────────────────────────────
class TestRewritePath:
def test_no_host_path_returns_unchanged(self, mcp_module):
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'u1',
'mode': 'sse',
'command': 'python',
'args': [],
},
)
assert s._rewrite_path('/some/path', None) == '/some/path'
def test_empty_path_returns_empty(self, mcp_module):
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'u1',
'mode': 'sse',
'command': 'python',
'args': [],
},
)
assert s._rewrite_path('', '/home/user/mcp') == ''
def test_prefix_match_rewrites(self, mcp_module):
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'u1',
'mode': 'sse',
'command': 'python',
'args': [],
},
)
result = s._rewrite_path('/home/user/mcp/server.py', '/home/user/mcp')
assert result == '/workspace/server.py'
def test_exact_match_rewrites_to_workspace(self, mcp_module):
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'u1',
'mode': 'sse',
'command': 'python',
'args': [],
},
)
result = s._rewrite_path('/home/user/mcp', '/home/user/mcp')
assert result == '/workspace'
def test_non_matching_path_unchanged(self, mcp_module):
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'u1',
'mode': 'sse',
'command': 'python',
'args': [],
},
)
result = s._rewrite_path('/opt/other/server.py', '/home/user/mcp')
assert result == '/opt/other/server.py'
def test_similar_prefix_not_rewritten(self, mcp_module):
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'u1',
'mode': 'sse',
'command': 'python',
'args': [],
},
)
result = s._rewrite_path('/home/user/mcp-other/file.py', '/home/user/mcp')
assert result == '/home/user/mcp-other/file.py'
def test_nested_subpath_rewrites(self, mcp_module):
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'u1',
'mode': 'sse',
'command': 'python',
'args': [],
},
)
result = s._rewrite_path('/home/user/mcp/src/lib/main.py', '/home/user/mcp')
assert result == '/workspace/src/lib/main.py'
# ── host_path Inference ─────────────────────────────────────────────
class TestInferHostPath:
def test_no_absolute_paths_returns_none(self, mcp_module):
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'u1',
'mode': 'sse',
'command': 'python',
'args': ['server.py'],
},
)
assert s._infer_host_path() is None
def test_nonexistent_path_returns_none(self, mcp_module):
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'u1',
'mode': 'sse',
'command': '/nonexistent/path/to/python',
'args': [],
},
)
assert s._infer_host_path() is None
def test_existing_absolute_path_infers_directory(self, mcp_module):
with tempfile.NamedTemporaryFile(suffix='.py') as f:
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'u1',
'mode': 'sse',
'command': 'python',
'args': [f.name],
},
)
result = s._infer_host_path()
assert result is not None
assert result == os.path.dirname(os.path.realpath(f.name))
# ── Build Box Session Payload ───────────────────────────────────────
class TestBuildBoxSessionPayload:
def test_minimal_config(self, mcp_module):
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'u1',
'mode': 'sse',
'command': 'python',
'args': [],
},
)
payload = s._build_box_session_payload('session-123')
assert payload['session_id'] == 'session-123'
assert payload['workdir'] == '/workspace'
assert payload['env'] == {}
assert 'host_path' not in payload
def test_with_host_path(self, mcp_module):
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'u1',
'mode': 'sse',
'command': 'python',
'args': [],
'box': {'host_path': '/home/user/mcp', 'host_path_mode': 'ro'},
},
)
payload = s._build_box_session_payload('session-123')
assert payload['host_path'] == '/home/user/mcp'
assert payload['host_path_mode'] == 'ro'
def test_optional_fields_included_when_set(self, mcp_module):
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'u1',
'mode': 'sse',
'command': 'python',
'args': [],
'box': {'image': 'node:20', 'cpus': 2.0, 'memory_mb': 1024, 'pids_limit': 256},
},
)
payload = s._build_box_session_payload('session-123')
assert payload['image'] == 'node:20'
assert payload['cpus'] == 2.0
assert payload['memory_mb'] == 1024
assert payload['pids_limit'] == 256
def test_none_fields_excluded(self, mcp_module):
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'u1',
'mode': 'sse',
'command': 'python',
'args': [],
},
)
payload = s._build_box_session_payload('session-123')
assert 'image' not in payload
assert 'cpus' not in payload
# ── Build Box Process Payload ───────────────────────────────────────
class TestBuildBoxProcessPayload:
def test_basic_payload(self, mcp_module):
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'u1',
'mode': 'sse',
'command': 'python',
'args': ['server.py'],
'env': {'KEY': 'val'},
},
)
payload = s._build_box_process_payload()
assert payload['command'] == 'python'
assert payload['args'] == ['server.py']
assert payload['env'] == {'KEY': 'val'}
assert payload['cwd'] == '/workspace'
def test_path_rewriting_applied(self, mcp_module):
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'u1',
'mode': 'sse',
'command': '/home/user/mcp/venv/bin/python',
'args': ['/home/user/mcp/server.py', '--config', '/home/user/mcp/config.json'],
'env': {},
'box': {'host_path': '/home/user/mcp'},
},
)
payload = s._build_box_process_payload()
# venv python is replaced with plain 'python' (deps installed in-container)
assert payload['command'] == 'python'
assert payload['args'] == ['/workspace/server.py', '--config', '/workspace/config.json']
def test_non_matching_args_not_rewritten(self, mcp_module):
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'u1',
'mode': 'sse',
'command': 'python',
'args': ['/opt/other/server.py', '--flag'],
'env': {},
'box': {'host_path': '/home/user/mcp'},
},
)
payload = s._build_box_process_payload()
assert payload['command'] == 'python'
assert payload['args'] == ['/opt/other/server.py', '--flag']
# ── get_runtime_info_dict ───────────────────────────────────────────
class TestGetRuntimeInfoDict:
def test_non_stdio_session(self, mcp_module):
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'test-uuid',
'mode': 'sse',
'command': 'python',
'args': [],
},
)
info = s.get_runtime_info_dict()
assert info['status'] == 'connecting'
assert 'box_session_id' not in info
def test_runtime_tools_include_parameters(self, mcp_module):
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'test-uuid',
'mode': 'sse',
'command': 'python',
'args': [],
},
)
s.functions = [
SimpleNamespace(
name='create-service',
description='Create a service',
parameters={
'type': 'object',
'properties': {
'project_id': {'type': 'string'},
},
'required': ['project_id'],
},
)
]
info = s.get_runtime_info_dict()
assert info['tools'][0]['parameters']['properties']['project_id']['type'] == 'string'
assert info['tools'][0]['parameters']['required'] == ['project_id']
def test_stdio_session_includes_box_info(self, mcp_module):
ap = _make_ap()
ap.box_service.available = True
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'test-uuid',
'mode': 'stdio',
'command': 'python',
'args': [],
},
ap=ap,
)
info = s.get_runtime_info_dict()
assert info['box_session_id'] == 'mcp-shared'
assert info['box_enabled'] is True
def test_stdio_session_refuses_when_box_unavailable(self, mcp_module):
"""Policy: when Box is configured but unavailable (disabled in config
OR connection failed), stdio MCP servers are NOT treated as box-stdio.
``_init_stdio_python_server`` will raise a clear refusal at start
time; until then, the runtime info simply omits box_session_id so the
UI can render the disabled state cleanly."""
ap = _make_ap()
ap.box_service.available = False
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'test-uuid',
'mode': 'stdio',
'command': 'python',
'args': [],
},
ap=ap,
)
info = s.get_runtime_info_dict()
assert 'box_session_id' not in info
assert 'box_enabled' not in info
def test_stdio_session_without_box_service_uses_local_stdio(self, mcp_module):
ap = _make_ap()
del ap.box_service
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'test-uuid',
'mode': 'stdio',
'command': 'python',
'args': [],
},
ap=ap,
)
info = s.get_runtime_info_dict()
assert 'box_session_id' not in info
# ── Box config parsing ──────────────────────────────────────────────
class TestBoxConfigParsing:
def test_box_config_parsed_from_server_config(self, mcp_module):
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'u1',
'mode': 'sse',
'command': 'python',
'args': [],
'box': {'image': 'node:20', 'host_path': '/home/user/mcp'},
},
)
assert isinstance(s.box_config, mcp_module.MCPServerBoxConfig)
assert s.box_config.image == 'node:20'
assert s.box_config.host_path == '/home/user/mcp'
def test_missing_box_key_uses_defaults(self, mcp_module):
s = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'u1',
'mode': 'sse',
'command': 'python',
'args': [],
},
)
assert isinstance(s.box_config, mcp_module.MCPServerBoxConfig)
assert s.box_config.image is None
assert s.box_config.host_path_mode == 'ro'
@pytest.mark.asyncio
async def test_init_box_stdio_server_stages_host_path_in_shared_workspace(mcp_module, tmp_path):
mcp_stdio_module = sys.modules['langbot.pkg.provider.tools.loaders.mcp_stdio']
class FakeClientSession:
def __init__(self, *_args):
pass
async def __aenter__(self):
return self
async def __aexit__(self, exc_type, exc, tb):
return False
async def initialize(self):
return None
@asynccontextmanager
async def fake_websocket_client(_url: str):
yield ('read-stream', 'write-stream')
mcp_stdio_module.ClientSession = FakeClientSession
mcp_stdio_module.websocket_client = fake_websocket_client
ap = _make_ap()
ap.box_service.available = True
ap.box_service.default_workspace = str(tmp_path / 'shared-box-workspace')
ap.box_service.create_session = AsyncMock(return_value={})
ap.box_service.build_spec = Mock(return_value='validated-spec')
ap.box_service.client = SimpleNamespace(
execute=AsyncMock(return_value=SimpleNamespace(ok=True, stderr='', exit_code=0))
)
ap.box_service.start_managed_process = AsyncMock(return_value={})
ap.box_service.get_managed_process_websocket_url = Mock(return_value='ws://box.example/process')
host_path = tmp_path / 'mcp-source'
host_path.mkdir()
server_file = host_path / 'server.py'
server_file.write_text('print("hello")\n', encoding='utf-8')
session = _make_session(
mcp_module,
{
'name': 'test',
'uuid': 'u1',
'mode': 'stdio',
'command': str(host_path / '.venv' / 'bin' / 'python'),
'args': [str(server_file)],
'box': {'host_path': str(host_path)},
},
ap=ap,
)
await session._init_box_stdio_server()
await session.exit_stack.aclose()
assert ap.box_service.create_session.await_count == 1
session_payload = ap.box_service.create_session.await_args.args[0]
assert session_payload['session_id'] == 'mcp-shared'
assert 'host_path' not in session_payload
assert ap.box_service.build_spec.call_count == 1
assert ap.box_service.build_spec.call_args.kwargs.get('skip_host_mount_validation', False) is False
assert ap.box_service.build_spec.call_args.args[0]['host_path'] == str(host_path)
staged_file = tmp_path / 'shared-box-workspace' / '.mcp' / 'u1' / 'workspace' / 'server.py'
assert staged_file.read_text(encoding='utf-8') == 'print("hello")\n'
process_payload = ap.box_service.start_managed_process.await_args.args[1]
assert process_payload['process_id'] == 'u1'
assert process_payload['command'] == 'python'
assert process_payload['args'] == ['/workspace/.mcp/u1/workspace/server.py']
assert process_payload['cwd'] == '/workspace/.mcp/u1/workspace'

View File

@@ -169,7 +169,6 @@ async def test_updated_llm_model_is_immediately_usable_by_local_agent_pipeline()
ap.logger = Mock()
ap.persistence_mgr = SimpleNamespace(execute_async=AsyncMock())
ap.tool_mgr = SimpleNamespace(get_all_tools=AsyncMock(return_value=[]))
ap.skill_mgr = None # PreProcessor only uses skill_mgr for the local-agent skill-binding branch
ap.plugin_connector = SimpleNamespace(
emit_event=AsyncMock(return_value=SimpleNamespace(event=SimpleNamespace(default_prompt=[], prompt=[])))
)

View File

@@ -1,479 +0,0 @@
from __future__ import annotations
import os
import tempfile
from types import SimpleNamespace
from unittest.mock import AsyncMock, Mock
import pytest
def _make_ap(logger=None):
ap = SimpleNamespace()
ap.logger = logger or Mock()
ap.persistence_mgr = Mock()
ap.persistence_mgr.execute_async = AsyncMock(return_value=Mock(all=Mock(return_value=[])))
ap.persistence_mgr.serialize_model = Mock(side_effect=lambda cls, row: row)
return ap
def _make_skill_data(
name='test-skill',
instructions='Do something',
package_root='',
entry_file='SKILL.md',
**kwargs,
):
return {
'name': name,
'display_name': kwargs.pop('display_name', name),
'description': kwargs.pop('description', f'Description of {name}'),
'instructions': instructions,
'package_root': package_root,
'entry_file': entry_file,
**kwargs,
}
class TestSkillManagerCache:
"""The Box runtime is the only source of truth — SkillManager just holds
an in-memory cache populated by ``reload_skills``. There is no local
filesystem reader anymore."""
def test_refresh_skill_from_disk_reports_cache_presence(self):
"""Box is the only source of truth for skill content. refresh_skill_from_disk
now just reports whether the skill is still in the in-memory cache —
the actual content refresh is driven by SkillService awaiting
``reload_skills`` after every Box mutation."""
from langbot.pkg.skill.manager import SkillManager
ap = _make_ap()
mgr = SkillManager(ap)
# Empty cache → returns False
assert mgr.refresh_skill_from_disk('test-skill') is False
# Cache populated → returns True; method does NOT mutate the cache
cached = _make_skill_data(name='test-skill', instructions='Cached')
mgr.skills['test-skill'] = cached
assert mgr.refresh_skill_from_disk('test-skill') is True
assert mgr.skills['test-skill'] is cached
assert mgr.refresh_skill_from_disk('') is False
@pytest.mark.asyncio
async def test_reload_skills_drops_box_skills_with_missing_package_root(self):
"""When Box reports a skill whose package_root is gone from the
LangBot-visible filesystem, the cache must drop it instead of
keeping a stale entry that would later produce a bad mount."""
from langbot.pkg.skill.manager import SkillManager
with tempfile.TemporaryDirectory() as live_dir:
ghost_dir = os.path.join(live_dir, '_does_not_exist')
box_service = SimpleNamespace(
available=True,
list_skills=AsyncMock(
return_value=[
_make_skill_data(name='alive', package_root=live_dir),
_make_skill_data(name='ghost', package_root=ghost_dir),
]
),
)
ap = _make_ap()
ap.box_service = box_service
mgr = SkillManager(ap)
await mgr.reload_skills()
assert list(mgr.skills) == ['alive']
# Warning fired with the dropped skill name so operators can see it.
warning_messages = [str(call.args[0]) for call in ap.logger.warning.call_args_list]
assert any('ghost' in msg and 'package_root missing' in msg for msg in warning_messages)
class TestSkillActivationHelper:
"""Skill activation is now Tool-Call based.
The legacy text-marker mechanism (``[ACTIVATE_SKILL: x]`` detection,
``build_activation_prompt_for_skills``, ``remove_activation_marker``,
``prepare_skill_activation``) has been removed. Activation now goes
through ``skill.activation.register_activated_skill``, invoked by the
``activate`` Tool Call.
"""
def test_register_activated_skill_records_known_skill(self):
from langbot.pkg.skill.activation import register_activated_skill
from langbot.pkg.provider.tools.loaders.skill import ACTIVATED_SKILLS_KEY
from langbot.pkg.skill.manager import SkillManager
ap = _make_ap()
mgr = SkillManager(ap)
mgr.skills = {
'primary': _make_skill_data(name='primary', instructions='Primary instructions'),
}
ap.skill_mgr = mgr
query = SimpleNamespace(variables={})
assert register_activated_skill(ap, query, 'primary') is True
assert set(query.variables[ACTIVATED_SKILLS_KEY].keys()) == {'primary'}
assert query.variables[ACTIVATED_SKILLS_KEY]['primary']['name'] == 'primary'
def test_register_activated_skill_rejects_unknown_skill(self):
from langbot.pkg.skill.activation import register_activated_skill
from langbot.pkg.provider.tools.loaders.skill import ACTIVATED_SKILLS_KEY
from langbot.pkg.skill.manager import SkillManager
ap = _make_ap()
mgr = SkillManager(ap)
mgr.skills = {'primary': _make_skill_data(name='primary')}
ap.skill_mgr = mgr
query = SimpleNamespace(variables={})
assert register_activated_skill(ap, query, 'missing') is False
assert ACTIVATED_SKILLS_KEY not in query.variables
def test_register_activated_skill_without_skill_manager_returns_false(self):
from langbot.pkg.skill.activation import register_activated_skill
ap = _make_ap() # no skill_mgr attribute
query = SimpleNamespace(variables={})
assert register_activated_skill(ap, query, 'primary') is False
class TestSkillPathHelpers:
def test_get_visible_skills_filters_by_bound_names(self):
from langbot.pkg.provider.tools.loaders.skill import PIPELINE_BOUND_SKILLS_KEY, get_visible_skills
ap = _make_ap()
ap.skill_mgr = SimpleNamespace(
skills={
'visible': _make_skill_data(name='visible'),
'hidden': _make_skill_data(name='hidden'),
}
)
query = SimpleNamespace(variables={PIPELINE_BOUND_SKILLS_KEY: ['visible']})
result = get_visible_skills(ap, query)
assert list(result.keys()) == ['visible']
def test_resolve_virtual_skill_path_allows_visible_skill_reads(self):
from langbot.pkg.provider.tools.loaders.skill import (
PIPELINE_BOUND_SKILLS_KEY,
resolve_virtual_skill_path,
)
ap = _make_ap()
ap.skill_mgr = SimpleNamespace(skills={'demo': _make_skill_data(name='demo')})
query = SimpleNamespace(variables={PIPELINE_BOUND_SKILLS_KEY: ['demo']})
skill, rewritten = resolve_virtual_skill_path(
ap,
query,
'/workspace/.skills/demo/SKILL.md',
include_visible=True,
include_activated=False,
)
assert skill['name'] == 'demo'
assert rewritten == '/workspace/SKILL.md'
def test_build_skill_session_id_uses_name_based_identifier(self):
from langbot.pkg.provider.tools.loaders.skill import build_skill_session_id
with_launcher = build_skill_session_id(
{'name': 'writer'},
SimpleNamespace(query_id=42, launcher_type='person', launcher_id='123'),
)
fallback = build_skill_session_id({'name': 'writer'}, SimpleNamespace(query_id=99))
assert with_launcher == 'skill-person_123-writer'
assert fallback == 'skill-99-writer'
def test_should_prepare_skill_python_env_detects_manifests_and_venv(self):
from langbot.pkg.provider.tools.loaders.skill import should_prepare_skill_python_env
with tempfile.TemporaryDirectory() as tmpdir:
assert should_prepare_skill_python_env(tmpdir) is False
with open(os.path.join(tmpdir, 'requirements.txt'), 'w', encoding='utf-8') as f:
f.write('requests==2.32.0\n')
assert should_prepare_skill_python_env(tmpdir) is True
with tempfile.TemporaryDirectory() as tmpdir:
os.makedirs(os.path.join(tmpdir, '.venv'))
assert should_prepare_skill_python_env(tmpdir) is True
def test_wrap_skill_command_with_python_env_bootstraps_then_runs_command(self):
from langbot.pkg.provider.tools.loaders.skill import wrap_skill_command_with_python_env
command = wrap_skill_command_with_python_env('python scripts/run.py')
assert 'python -m venv "$_LB_VENV_DIR"' in command
assert 'export VIRTUAL_ENV="$_LB_VENV_DIR"' in command
assert command.rstrip().endswith('python scripts/run.py')
class TestSkillToolLoader:
"""The skill tool surface is now just ``activate`` + ``register_skill``.
The legacy CRUD authoring tools (create/list/get/update/delete/
import_skill_from_directory/reload_skills) were removed; skill CRUD is
handled by SkillService via the HTTP API / web UI instead.
"""
@pytest.mark.asyncio
async def test_activate_returns_instructions_and_registers_skill(self):
from langbot.pkg.provider.tools.loaders.skill_authoring import (
ACTIVATE_SKILL_TOOL_NAME,
SkillToolLoader,
)
from langbot.pkg.provider.tools.loaders.skill import ACTIVATED_SKILLS_KEY
skill = _make_skill_data(name='demo', package_root='/data/skills/demo', instructions='Step 1')
ap = _make_ap()
ap.skill_mgr = SimpleNamespace(
skills={'demo': skill},
get_skill_by_name=lambda name: skill if name == 'demo' else None,
)
loader = SkillToolLoader(ap)
query = SimpleNamespace(variables={})
result = await loader.invoke_tool(ACTIVATE_SKILL_TOOL_NAME, {'skill_name': 'demo'}, query)
assert result['activated'] is True
assert result['skill_name'] == 'demo'
assert result['mount_path'] == '/workspace/.skills/demo'
assert 'Step 1' in result['content']
assert set(query.variables[ACTIVATED_SKILLS_KEY].keys()) == {'demo'}
@pytest.mark.asyncio
async def test_activate_unknown_skill_raises(self):
from langbot.pkg.provider.tools.loaders.skill_authoring import (
ACTIVATE_SKILL_TOOL_NAME,
SkillToolLoader,
)
ap = _make_ap()
ap.skill_mgr = SimpleNamespace(
skills={'demo': _make_skill_data(name='demo')},
get_skill_by_name=lambda name: None,
)
loader = SkillToolLoader(ap)
with pytest.raises(ValueError, match='not found'):
await loader.invoke_tool(
ACTIVATE_SKILL_TOOL_NAME,
{'skill_name': 'ghost'},
SimpleNamespace(variables={}),
)
@pytest.mark.asyncio
async def test_register_skill_scans_directory_and_creates_skill(self):
from langbot.pkg.provider.tools.loaders.skill_authoring import (
REGISTER_SKILL_TOOL_NAME,
SkillToolLoader,
)
with tempfile.TemporaryDirectory() as tmpdir:
repo_dir = os.path.join(tmpdir, 'repo')
os.makedirs(repo_dir)
ap = _make_ap()
ap.box_service = SimpleNamespace(default_workspace=tmpdir, available=True)
ap.skill_service = SimpleNamespace(
scan_directory_async=AsyncMock(
return_value={
'name': 'cloned-skill',
'display_name': 'Cloned Skill',
'description': 'Imported from clone',
'instructions': 'Do work',
}
),
create_skill=AsyncMock(
return_value=_make_skill_data(name='cloned-skill', package_root=os.path.realpath(repo_dir))
),
)
loader = SkillToolLoader(ap)
result = await loader.invoke_tool(
REGISTER_SKILL_TOOL_NAME,
{'path': '/workspace/repo'},
SimpleNamespace(),
)
ap.skill_service.scan_directory_async.assert_awaited_once_with(os.path.realpath(repo_dir))
ap.skill_service.create_skill.assert_awaited_once_with(
{
'name': 'cloned-skill',
'display_name': 'Cloned Skill',
'description': 'Imported from clone',
'instructions': 'Do work',
'package_root': os.path.realpath(repo_dir),
}
)
assert result['registered'] is True
assert result['skill_name'] == 'cloned-skill'
assert result['source_path'] == '/workspace/repo'
@pytest.mark.asyncio
async def test_register_skill_rejects_workspace_escape(self):
from langbot.pkg.provider.tools.loaders.skill_authoring import (
REGISTER_SKILL_TOOL_NAME,
SkillToolLoader,
)
with tempfile.TemporaryDirectory() as tmpdir:
ap = _make_ap()
ap.box_service = SimpleNamespace(default_workspace=tmpdir, available=True)
ap.skill_service = SimpleNamespace(scan_directory_async=AsyncMock(), create_skill=AsyncMock())
loader = SkillToolLoader(ap)
with pytest.raises(ValueError, match='escapes the workspace boundary'):
await loader.invoke_tool(
REGISTER_SKILL_TOOL_NAME,
{'path': '/workspace/../../etc'},
SimpleNamespace(),
)
@pytest.mark.asyncio
async def test_register_skill_requires_skill_service(self):
from langbot.pkg.provider.tools.loaders.skill_authoring import (
REGISTER_SKILL_TOOL_NAME,
SkillToolLoader,
)
with tempfile.TemporaryDirectory() as tmpdir:
ap = _make_ap() # no skill_service attribute
ap.box_service = SimpleNamespace(default_workspace=tmpdir, available=True)
loader = SkillToolLoader(ap)
with pytest.raises(ValueError, match='Skill service not available'):
await loader.invoke_tool(
REGISTER_SKILL_TOOL_NAME,
{'path': '/workspace/foo'},
SimpleNamespace(),
)
@pytest.mark.asyncio
async def test_tools_hidden_when_sandbox_backend_unavailable(self):
from langbot.pkg.provider.tools.loaders.skill_authoring import SkillToolLoader
ap = _make_ap()
ap.skill_mgr = SimpleNamespace(skills={})
ap.box_service = SimpleNamespace(
available=True,
get_status=AsyncMock(return_value={'backend': {'available': False}}),
)
loader = SkillToolLoader(ap)
await loader.initialize()
assert await loader.get_tools() == []
assert await loader.has_tool('activate') is False
assert await loader.has_tool('register_skill') is False
@pytest.mark.asyncio
async def test_tools_exposed_when_sandbox_backend_available(self):
from langbot.pkg.provider.tools.loaders.skill_authoring import SkillToolLoader
ap = _make_ap()
ap.skill_mgr = SimpleNamespace(skills={'demo': _make_skill_data(name='demo')})
ap.box_service = SimpleNamespace(
available=True,
get_status=AsyncMock(return_value={'backend': {'available': True}}),
)
loader = SkillToolLoader(ap)
await loader.initialize()
tools = await loader.get_tools()
assert sorted(tool.name for tool in tools) == ['activate', 'register_skill']
assert await loader.has_tool('activate') is True
assert await loader.has_tool('register_skill') is True
class TestNativeToolLoaderSkillPaths:
@pytest.mark.asyncio
async def test_read_visible_skill_file(self):
from langbot.pkg.provider.tools.loaders.native import NativeToolLoader
from langbot.pkg.provider.tools.loaders.skill import PIPELINE_BOUND_SKILLS_KEY
with tempfile.TemporaryDirectory() as tmpdir:
skill_md = os.path.join(tmpdir, 'SKILL.md')
with open(skill_md, 'w', encoding='utf-8') as f:
f.write('demo instructions')
ap = _make_ap()
ap.box_service = SimpleNamespace(available=True, default_workspace=tmpdir)
ap.skill_mgr = SimpleNamespace(skills={'demo': _make_skill_data(name='demo', package_root=tmpdir)})
loader = NativeToolLoader(ap)
result = await loader.invoke_tool(
'read',
{'path': '/workspace/.skills/demo/SKILL.md'},
SimpleNamespace(query_id='q1', variables={PIPELINE_BOUND_SKILLS_KEY: ['demo']}),
)
assert result == {'ok': True, 'content': 'demo instructions'}
@pytest.mark.asyncio
async def test_exec_in_activated_skill_mount_rewrites_command_and_refreshes(self):
from langbot.pkg.provider.tools.loaders.native import NativeToolLoader
from langbot.pkg.provider.tools.loaders.skill import register_activated_skill
with tempfile.TemporaryDirectory() as tmpdir:
ap = _make_ap()
ap.box_service = SimpleNamespace(
available=True,
default_workspace=tmpdir,
execute_tool=AsyncMock(return_value={'ok': True}),
)
ap.skill_mgr = SimpleNamespace(refresh_skill_from_disk=Mock())
loader = NativeToolLoader(ap)
query = SimpleNamespace(query_id='q1', launcher_type='person', launcher_id='123', variables={})
register_activated_skill(query, _make_skill_data(name='demo', package_root=tmpdir))
result = await loader.invoke_tool(
'exec',
{
'command': 'python /workspace/.skills/demo/scripts/run.py',
'workdir': '/workspace/.skills/demo',
},
query,
)
assert result == {'ok': True}
tool_parameters = ap.box_service.execute_tool.await_args.args[0]
assert tool_parameters['command'] == 'python /workspace/.skills/demo/scripts/run.py'
assert tool_parameters['workdir'] == '/workspace/.skills/demo'
ap.skill_mgr.refresh_skill_from_disk.assert_called_once_with('demo')
@pytest.mark.asyncio
async def test_write_requires_skill_activation(self):
from langbot.pkg.provider.tools.loaders.native import NativeToolLoader
from langbot.pkg.provider.tools.loaders.skill import PIPELINE_BOUND_SKILLS_KEY
with tempfile.TemporaryDirectory() as tmpdir:
ap = _make_ap()
ap.box_service = SimpleNamespace(available=True, default_workspace=tmpdir)
ap.skill_mgr = SimpleNamespace(skills={'demo': _make_skill_data(name='demo', package_root=tmpdir)})
loader = NativeToolLoader(ap)
query = SimpleNamespace(query_id='q1', variables={PIPELINE_BOUND_SKILLS_KEY: ['demo']})
with pytest.raises(ValueError, match='Skill "demo" is not available at this path'):
await loader.invoke_tool(
'write',
{'path': '/workspace/.skills/demo/notes.txt', 'content': 'hi'},
query,
)

View File

@@ -4,7 +4,6 @@ Tests cover:
- Tool schema generation for OpenAI and Anthropic
- Tool execution dispatch
"""
from __future__ import annotations
import pytest
@@ -53,12 +52,11 @@ class TestToolManagerSchemaGeneration:
@pytest.fixture
def sample_tools(self):
"""Create sample LLMTool list for testing."""
def dummy_weather_func(**kwargs):
return 'weather result'
return "weather result"
def dummy_calc_func(**kwargs):
return 'calc result'
return "calc result"
tools = [
resource_tool.LLMTool(
@@ -67,10 +65,15 @@ class TestToolManagerSchemaGeneration:
description='Get current weather for a location',
parameters={
'type': 'object',
'properties': {'location': {'type': 'string', 'description': 'City name'}},
'required': ['location'],
'properties': {
'location': {
'type': 'string',
'description': 'City name'
}
},
'required': ['location']
},
func=dummy_weather_func,
func=dummy_weather_func
),
resource_tool.LLMTool(
name='calculate',
@@ -78,10 +81,15 @@ class TestToolManagerSchemaGeneration:
description='Perform a calculation',
parameters={
'type': 'object',
'properties': {'expression': {'type': 'string', 'description': 'Math expression'}},
'required': ['expression'],
'properties': {
'expression': {
'type': 'string',
'description': 'Math expression'
}
},
'required': ['expression']
},
func=dummy_calc_func,
func=dummy_calc_func
),
]
return tools
@@ -180,48 +188,26 @@ class TestToolManagerExecuteFuncCall:
@pytest.fixture
def mock_app_with_loaders(self):
"""Create mock app with mock tool loaders.
Returns (app, plugin_loader, mcp_loader). The native and skill loaders
are attached directly to the app for tests that don't need to assert
against them — they all default to ``has_tool == False`` so the
execute_func_call probe falls through to the plugin/mcp pair.
"""
"""Create mock app with mock tool loaders."""
mock_app = Mock()
mock_app.logger = Mock()
def _make_inert_loader():
loader = Mock()
loader.has_tool = AsyncMock(return_value=False)
loader.invoke_tool = AsyncMock(return_value=None)
loader.initialize = AsyncMock()
loader.shutdown = AsyncMock()
return loader
# Create mock plugin loader
mock_plugin_loader = _make_inert_loader()
mock_plugin_loader = Mock()
mock_plugin_loader.has_tool = AsyncMock(return_value=False)
mock_plugin_loader.invoke_tool = AsyncMock(return_value='plugin_result')
mock_plugin_loader.initialize = AsyncMock()
mock_plugin_loader.shutdown = AsyncMock()
# Create mock MCP loader
mock_mcp_loader = _make_inert_loader()
mock_mcp_loader = Mock()
mock_mcp_loader.has_tool = AsyncMock(return_value=False)
mock_mcp_loader.invoke_tool = AsyncMock(return_value='mcp_result')
# Stash inert native/skill loaders so the ToolManager probe order
# (native → plugin → mcp → skill) doesn't AttributeError. Tests that
# need to override these can replace the attributes on the manager.
mock_app._inert_native_loader = _make_inert_loader()
mock_app._inert_skill_loader = _make_inert_loader()
mock_mcp_loader.initialize = AsyncMock()
mock_mcp_loader.shutdown = AsyncMock()
return mock_app, mock_plugin_loader, mock_mcp_loader
@staticmethod
def _wire_loaders(manager, mock_app, plugin_loader, mcp_loader):
"""Attach all four loaders (native + plugin + mcp + skill) to manager."""
manager.native_tool_loader = mock_app._inert_native_loader
manager.plugin_tool_loader = plugin_loader
manager.mcp_tool_loader = mcp_loader
manager.skill_tool_loader = mock_app._inert_skill_loader
@pytest.fixture
def sample_query(self):
"""Create sample query for testing."""
@@ -229,7 +215,9 @@ class TestToolManagerExecuteFuncCall:
return query
@pytest.mark.asyncio
async def test_execute_calls_plugin_loader_when_has_tool(self, mock_app_with_loaders, sample_query):
async def test_execute_calls_plugin_loader_when_has_tool(
self, mock_app_with_loaders, sample_query
):
"""Test that execute_func_call uses plugin loader when tool exists there."""
toolmgr = get_toolmgr_module()
@@ -237,17 +225,26 @@ class TestToolManagerExecuteFuncCall:
mock_plugin_loader.has_tool = AsyncMock(return_value=True)
manager = toolmgr.ToolManager(mock_app)
self._wire_loaders(manager, mock_app, mock_plugin_loader, mock_mcp_loader)
manager.plugin_tool_loader = mock_plugin_loader
manager.mcp_tool_loader = mock_mcp_loader
result = await manager.execute_func_call('test_tool', {'param': 'value'}, sample_query)
result = await manager.execute_func_call(
'test_tool',
{'param': 'value'},
sample_query
)
assert result == 'plugin_result'
mock_plugin_loader.invoke_tool.assert_called_once_with('test_tool', {'param': 'value'}, sample_query)
mock_plugin_loader.invoke_tool.assert_called_once_with(
'test_tool', {'param': 'value'}, sample_query
)
# MCP loader should not be called
mock_mcp_loader.invoke_tool.assert_not_called()
@pytest.mark.asyncio
async def test_execute_calls_mcp_loader_when_plugin_not_found(self, mock_app_with_loaders, sample_query):
async def test_execute_calls_mcp_loader_when_plugin_not_found(
self, mock_app_with_loaders, sample_query
):
"""Test that execute_func_call uses MCP loader when plugin doesn't have tool."""
toolmgr = get_toolmgr_module()
@@ -256,15 +253,24 @@ class TestToolManagerExecuteFuncCall:
mock_mcp_loader.has_tool = AsyncMock(return_value=True)
manager = toolmgr.ToolManager(mock_app)
self._wire_loaders(manager, mock_app, mock_plugin_loader, mock_mcp_loader)
manager.plugin_tool_loader = mock_plugin_loader
manager.mcp_tool_loader = mock_mcp_loader
result = await manager.execute_func_call('test_tool', {'param': 'value'}, sample_query)
result = await manager.execute_func_call(
'test_tool',
{'param': 'value'},
sample_query
)
assert result == 'mcp_result'
mock_mcp_loader.invoke_tool.assert_called_once_with('test_tool', {'param': 'value'}, sample_query)
mock_mcp_loader.invoke_tool.assert_called_once_with(
'test_tool', {'param': 'value'}, sample_query
)
@pytest.mark.asyncio
async def test_execute_raises_when_tool_not_found(self, mock_app_with_loaders, sample_query):
async def test_execute_raises_when_tool_not_found(
self, mock_app_with_loaders, sample_query
):
"""Test that execute_func_call raises ValueError when tool not found."""
toolmgr = get_toolmgr_module()
@@ -273,13 +279,20 @@ class TestToolManagerExecuteFuncCall:
mock_mcp_loader.has_tool = AsyncMock(return_value=False)
manager = toolmgr.ToolManager(mock_app)
self._wire_loaders(manager, mock_app, mock_plugin_loader, mock_mcp_loader)
manager.plugin_tool_loader = mock_plugin_loader
manager.mcp_tool_loader = mock_mcp_loader
with pytest.raises(ValueError, match='未找到工具'):
await manager.execute_func_call('unknown_tool', {}, sample_query)
await manager.execute_func_call(
'unknown_tool',
{},
sample_query
)
@pytest.mark.asyncio
async def test_plugin_loader_checked_first(self, mock_app_with_loaders, sample_query):
async def test_plugin_loader_checked_first(
self, mock_app_with_loaders, sample_query
):
"""Test that plugin loader is checked before MCP loader."""
toolmgr = get_toolmgr_module()
@@ -289,7 +302,8 @@ class TestToolManagerExecuteFuncCall:
mock_mcp_loader.has_tool = AsyncMock(return_value=True)
manager = toolmgr.ToolManager(mock_app)
self._wire_loaders(manager, mock_app, mock_plugin_loader, mock_mcp_loader)
manager.plugin_tool_loader = mock_plugin_loader
manager.mcp_tool_loader = mock_mcp_loader
await manager.execute_func_call('test_tool', {}, sample_query)
@@ -303,30 +317,20 @@ class TestToolManagerShutdown:
@pytest.mark.asyncio
async def test_shutdown_calls_loader_shutdown(self):
"""Test that shutdown calls shutdown on every registered loader."""
"""Test that shutdown calls shutdown on both loaders."""
toolmgr = get_toolmgr_module()
mock_app = Mock()
def _make_loader():
loader = Mock()
loader.shutdown = AsyncMock()
return loader
mock_native_loader = _make_loader()
mock_plugin_loader = _make_loader()
mock_mcp_loader = _make_loader()
mock_skill_loader = _make_loader()
mock_plugin_loader = Mock()
mock_plugin_loader.shutdown = AsyncMock()
mock_mcp_loader = Mock()
mock_mcp_loader.shutdown = AsyncMock()
manager = toolmgr.ToolManager(mock_app)
manager.native_tool_loader = mock_native_loader
manager.plugin_tool_loader = mock_plugin_loader
manager.mcp_tool_loader = mock_mcp_loader
manager.skill_tool_loader = mock_skill_loader
await manager.shutdown()
mock_native_loader.shutdown.assert_called_once()
mock_plugin_loader.shutdown.assert_called_once()
mock_mcp_loader.shutdown.assert_called_once()
mock_skill_loader.shutdown.assert_called_once()
mock_mcp_loader.shutdown.assert_called_once()

View File

@@ -1,250 +0,0 @@
from __future__ import annotations
import os
import tempfile
from types import SimpleNamespace
from unittest.mock import AsyncMock, Mock
import pytest
import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
from langbot.pkg.provider.tools.loaders.native import NativeToolLoader
from langbot.pkg.provider.tools.toolmgr import ToolManager
class StubLoader:
def __init__(self, tools: list[resource_tool.LLMTool] | None = None, invoke_result=None):
self._tools = tools or []
self._invoke_result = invoke_result
async def get_tools(self, *_args, **_kwargs):
return self._tools
async def has_tool(self, name: str) -> bool:
return any(tool.name == name for tool in self._tools)
async def invoke_tool(self, name: str, parameters: dict, query):
return self._invoke_result(name, parameters, query) if callable(self._invoke_result) else self._invoke_result
async def shutdown(self):
return None
def make_tool(name: str) -> resource_tool.LLMTool:
return resource_tool.LLMTool(
name=name,
human_desc=name,
description=name,
parameters={'type': 'object', 'properties': {}},
func=lambda parameters: parameters,
)
@pytest.mark.asyncio
async def test_tool_manager_omits_skill_authoring_tools_by_default():
manager = ToolManager(SimpleNamespace())
manager.native_tool_loader = StubLoader([make_tool('exec')])
manager.skill_tool_loader = StubLoader([make_tool('activate')])
manager.plugin_tool_loader = StubLoader([make_tool('plugin_tool')])
manager.mcp_tool_loader = StubLoader([make_tool('mcp_tool')])
tools = await manager.get_all_tools()
assert [tool.name for tool in tools] == ['exec', 'plugin_tool', 'mcp_tool']
@pytest.mark.asyncio
async def test_tool_manager_includes_skill_authoring_tools_when_requested():
manager = ToolManager(SimpleNamespace())
manager.native_tool_loader = StubLoader([make_tool('exec')])
manager.skill_tool_loader = StubLoader([make_tool('activate')])
manager.plugin_tool_loader = StubLoader([make_tool('plugin_tool')])
manager.mcp_tool_loader = StubLoader([make_tool('mcp_tool')])
tools = await manager.get_all_tools(include_skill_authoring=True)
assert [tool.name for tool in tools] == ['exec', 'activate', 'plugin_tool', 'mcp_tool']
@pytest.mark.asyncio
async def test_tool_manager_routes_native_tool_calls():
app = SimpleNamespace()
manager = ToolManager(app)
manager.native_tool_loader = StubLoader([make_tool('exec')], invoke_result={'backend': 'fake'})
manager.skill_tool_loader = StubLoader([make_tool('activate')])
manager.plugin_tool_loader = StubLoader([make_tool('plugin_tool')])
manager.mcp_tool_loader = StubLoader([make_tool('mcp_tool')])
result = await manager.execute_func_call('exec', {'command': 'pwd'}, query=Mock())
assert result == {'backend': 'fake'}
@pytest.mark.asyncio
async def test_native_tool_loader_hides_tools_when_box_unavailable():
loader = NativeToolLoader(SimpleNamespace(box_service=SimpleNamespace(available=False)))
assert await loader.get_tools() == []
for tool_name in ('exec', 'read', 'write', 'edit', 'glob', 'grep'):
assert await loader.has_tool(tool_name) is False
@pytest.mark.asyncio
async def test_native_tool_loader_exposes_all_tools_when_box_available():
box_service = SimpleNamespace(
available=True,
get_status=AsyncMock(return_value={'backend': {'available': True}}),
)
loader = NativeToolLoader(SimpleNamespace(box_service=box_service, logger=Mock()))
await loader.initialize()
tools = await loader.get_tools()
assert [tool.name for tool in tools] == ['exec', 'read', 'write', 'edit', 'glob', 'grep']
for tool_name in ('exec', 'read', 'write', 'edit', 'glob', 'grep'):
assert await loader.has_tool(tool_name) is True
# ── read/write/edit file tool tests ─────────────────────────────
def _make_loader_with_workspace(tmpdir: str) -> tuple[NativeToolLoader, Mock]:
logger = Mock()
box_service = SimpleNamespace(available=True, default_workspace=tmpdir)
ap = SimpleNamespace(box_service=box_service, logger=logger)
return NativeToolLoader(ap), logger
def _make_query() -> Mock:
q = Mock()
q.query_id = 'test-query-1'
return q
@pytest.mark.asyncio
async def test_read_file():
with tempfile.TemporaryDirectory() as tmpdir:
loader, _ = _make_loader_with_workspace(tmpdir)
with open(os.path.join(tmpdir, 'hello.txt'), 'w') as f:
f.write('hello world')
result = await loader.invoke_tool('read', {'path': '/workspace/hello.txt'}, _make_query())
assert result['ok'] is True
assert result['content'] == 'hello world'
@pytest.mark.asyncio
async def test_read_nonexistent_file():
with tempfile.TemporaryDirectory() as tmpdir:
loader, _ = _make_loader_with_workspace(tmpdir)
result = await loader.invoke_tool('read', {'path': '/workspace/no_such.txt'}, _make_query())
assert result['ok'] is False
assert 'not found' in result['error'].lower()
@pytest.mark.asyncio
async def test_read_directory():
with tempfile.TemporaryDirectory() as tmpdir:
loader, _ = _make_loader_with_workspace(tmpdir)
os.makedirs(os.path.join(tmpdir, 'subdir'))
with open(os.path.join(tmpdir, 'a.txt'), 'w') as f:
f.write('a')
result = await loader.invoke_tool('read', {'path': '/workspace'}, _make_query())
assert result['ok'] is True
assert result['is_directory'] is True
assert 'a.txt' in result['content']
@pytest.mark.asyncio
async def test_write_creates_file():
with tempfile.TemporaryDirectory() as tmpdir:
loader, _ = _make_loader_with_workspace(tmpdir)
result = await loader.invoke_tool(
'write', {'path': '/workspace/new.txt', 'content': 'new content'}, _make_query()
)
assert result['ok'] is True
with open(os.path.join(tmpdir, 'new.txt')) as f:
assert f.read() == 'new content'
@pytest.mark.asyncio
async def test_write_creates_subdirectories():
with tempfile.TemporaryDirectory() as tmpdir:
loader, _ = _make_loader_with_workspace(tmpdir)
result = await loader.invoke_tool(
'write', {'path': '/workspace/sub/deep/file.txt', 'content': 'nested'}, _make_query()
)
assert result['ok'] is True
with open(os.path.join(tmpdir, 'sub', 'deep', 'file.txt')) as f:
assert f.read() == 'nested'
@pytest.mark.asyncio
async def test_edit_replaces_unique_string():
with tempfile.TemporaryDirectory() as tmpdir:
loader, _ = _make_loader_with_workspace(tmpdir)
with open(os.path.join(tmpdir, 'code.py'), 'w') as f:
f.write('def foo():\n return 1\n')
result = await loader.invoke_tool(
'edit',
{'path': '/workspace/code.py', 'old_string': 'return 1', 'new_string': 'return 42'},
_make_query(),
)
assert result['ok'] is True
with open(os.path.join(tmpdir, 'code.py')) as f:
assert f.read() == 'def foo():\n return 42\n'
@pytest.mark.asyncio
async def test_edit_rejects_ambiguous_match():
with tempfile.TemporaryDirectory() as tmpdir:
loader, _ = _make_loader_with_workspace(tmpdir)
with open(os.path.join(tmpdir, 'dup.txt'), 'w') as f:
f.write('aaa\naaa\n')
result = await loader.invoke_tool(
'edit',
{'path': '/workspace/dup.txt', 'old_string': 'aaa', 'new_string': 'bbb'},
_make_query(),
)
assert result['ok'] is False
assert '2' in result['error']
@pytest.mark.asyncio
async def test_edit_rejects_missing_string():
with tempfile.TemporaryDirectory() as tmpdir:
loader, _ = _make_loader_with_workspace(tmpdir)
with open(os.path.join(tmpdir, 'x.txt'), 'w') as f:
f.write('hello')
result = await loader.invoke_tool(
'edit',
{'path': '/workspace/x.txt', 'old_string': 'nope', 'new_string': 'yes'},
_make_query(),
)
assert result['ok'] is False
assert 'not found' in result['error'].lower()
@pytest.mark.asyncio
async def test_path_escape_blocked():
with tempfile.TemporaryDirectory() as tmpdir:
loader, _ = _make_loader_with_workspace(tmpdir)
with pytest.raises(ValueError, match='escapes'):
await loader.invoke_tool('read', {'path': '/workspace/../../etc/passwd'}, _make_query())

View File

@@ -1,23 +0,0 @@
from pathlib import Path
from src.langbot.pkg.utils import paths
def test_get_data_root_uses_source_root_in_repo_checkout():
data_root = Path(paths.get_data_root())
repo_root = Path(__file__).resolve().parents[2]
assert data_root == repo_root / 'data'
def test_get_data_path_joins_under_data_root():
data_path = Path(paths.get_data_path('skills', 'demo-skill'))
repo_root = Path(__file__).resolve().parents[2]
assert data_path == repo_root / 'data' / 'skills' / 'demo-skill'
def test_get_data_root_honors_env_override(monkeypatch, tmp_path):
monkeypatch.setenv('LANGBOT_DATA_ROOT', str(tmp_path / 'custom-data'))
assert Path(paths.get_data_root()) == (tmp_path / 'custom-data').resolve()

View File

@@ -1,204 +0,0 @@
from __future__ import annotations
import importlib
import sys
import types
from types import SimpleNamespace
from unittest.mock import AsyncMock, Mock
import pytest
from langbot_plugin.api.entities.builtin.pipeline.query import Query
from langbot_plugin.api.entities.builtin.platform.entities import Friend
from langbot_plugin.api.entities.builtin.platform.events import FriendMessage
from langbot_plugin.api.entities.builtin.platform.message import MessageChain, Plain
from langbot_plugin.api.entities.builtin.provider.message import Message
from langbot_plugin.api.entities.builtin.provider.prompt import Prompt
from langbot_plugin.api.entities.builtin.provider.session import Conversation, LauncherTypes, Session
def _make_query() -> Query:
message_chain = MessageChain([Plain(text='create a skill')])
return Query(
query_id=1,
launcher_type=LauncherTypes.PERSON,
launcher_id='launcher-1',
sender_id='sender-1',
message_event=FriendMessage(
message_chain=message_chain,
time=0,
sender=Friend(id='sender-1', nickname='Tester', remark='Tester'),
),
message_chain=message_chain,
bot_uuid='bot-1',
pipeline_uuid='pipe-1',
pipeline_config={
'ai': {
'runner': {'runner': 'local-agent'},
'local-agent': {
'model': {'primary': 'model-1', 'fallbacks': []},
'prompt': 'default',
'knowledge-bases': [],
},
},
'trigger': {'misc': {}},
},
variables={},
)
def _make_conversation() -> Conversation:
return Conversation(
prompt=Prompt(name='default', messages=[Message(role='system', content='system prompt')]),
messages=[],
pipeline_uuid='pipe-1',
bot_uuid='bot-1',
uuid='conv-1',
)
def _make_app(*, skill_service) -> SimpleNamespace:
session = Session(launcher_type=LauncherTypes.PERSON, launcher_id='launcher-1', sender_id='sender-1')
conversation = _make_conversation()
model = SimpleNamespace(model_entity=SimpleNamespace(uuid='model-1', abilities={'func_call'}))
tool_mgr = SimpleNamespace(get_all_tools=AsyncMock(return_value=[]))
return SimpleNamespace(
sess_mgr=SimpleNamespace(
get_session=AsyncMock(return_value=session),
get_conversation=AsyncMock(return_value=conversation),
),
model_mgr=SimpleNamespace(get_model_by_uuid=AsyncMock(return_value=model)),
tool_mgr=tool_mgr,
plugin_connector=SimpleNamespace(
emit_event=AsyncMock(
return_value=SimpleNamespace(
event=SimpleNamespace(
default_prompt=conversation.prompt.messages.copy(),
prompt=conversation.messages.copy(),
)
)
)
),
pipeline_service=SimpleNamespace(
get_pipeline=AsyncMock(return_value={'extensions_preferences': {'enable_all_skills': True}})
),
skill_mgr=SimpleNamespace(
build_skill_aware_prompt_addition=Mock(return_value=''),
skills={},
),
skill_service=skill_service,
logger=Mock(),
)
def _import_preproc_modules():
fake_app_module = types.ModuleType('langbot.pkg.core.app')
fake_app_module.Application = object
sys.modules['langbot.pkg.core.app'] = fake_app_module
for module_name in (
'langbot.pkg.pipeline.preproc.preproc',
'langbot.pkg.pipeline.stage',
):
sys.modules.pop(module_name, None)
preproc_module = importlib.import_module('langbot.pkg.pipeline.preproc.preproc')
entities_module = importlib.import_module('langbot.pkg.pipeline.entities')
return preproc_module, entities_module
@pytest.mark.asyncio
async def test_preproc_enables_skill_authoring_tools_when_skill_service_available():
preproc_module, entities_module = _import_preproc_modules()
app = _make_app(skill_service=SimpleNamespace())
stage = preproc_module.PreProcessor(app)
result = await stage.process(_make_query(), 'PreProcessor')
assert result.result_type == entities_module.ResultType.CONTINUE
app.tool_mgr.get_all_tools.assert_awaited_once_with(None, None, include_skill_authoring=True)
@pytest.mark.asyncio
async def test_preproc_disables_skill_authoring_tools_when_skill_service_missing():
preproc_module, entities_module = _import_preproc_modules()
app = _make_app(skill_service=None)
stage = preproc_module.PreProcessor(app)
result = await stage.process(_make_query(), 'PreProcessor')
assert result.result_type == entities_module.ResultType.CONTINUE
app.tool_mgr.get_all_tools.assert_awaited_once_with(None, None, include_skill_authoring=False)
@pytest.mark.asyncio
async def test_preproc_injects_skill_index_into_system_prompt():
"""The Tool Call activation pattern still needs the LLM to know which
skills exist. PreProcessor must append the SkillManager's index
addendum to the first system message."""
preproc_module, entities_module = _import_preproc_modules()
app = _make_app(skill_service=SimpleNamespace())
addendum = '\n\nAvailable Skills:\n- demo (demo): Demo skill.\n\nCall activate ...'
app.skill_mgr.build_skill_aware_prompt_addition = Mock(return_value=addendum)
query = _make_query()
result = await stage_process_capture(preproc_module, app, query)
assert result.result_type == entities_module.ResultType.CONTINUE
app.skill_mgr.build_skill_aware_prompt_addition.assert_called_once_with(bound_skills=None)
head = query.prompt.messages[0]
assert head.role == 'system'
assert head.content.endswith(addendum)
@pytest.mark.asyncio
async def test_preproc_respects_pipeline_bound_skills_subset():
"""When ``enable_all_skills`` is false the bound list is passed through
so the addendum only mentions skills allowed for this pipeline."""
preproc_module, entities_module = _import_preproc_modules()
app = _make_app(skill_service=SimpleNamespace())
app.pipeline_service.get_pipeline = AsyncMock(
return_value={
'extensions_preferences': {
'enable_all_skills': False,
'skills': ['only-this'],
}
}
)
app.skill_mgr.build_skill_aware_prompt_addition = Mock(return_value='')
query = _make_query()
result = await stage_process_capture(preproc_module, app, query)
assert result.result_type == entities_module.ResultType.CONTINUE
app.skill_mgr.build_skill_aware_prompt_addition.assert_called_once_with(bound_skills=['only-this'])
assert query.variables.get('_pipeline_bound_skills') == ['only-this']
@pytest.mark.asyncio
async def test_preproc_skips_injection_when_addendum_is_empty():
"""No visible skills → system prompt is left untouched (no
``Available Skills`` block appended)."""
preproc_module, entities_module = _import_preproc_modules()
app = _make_app(skill_service=SimpleNamespace())
app.skill_mgr.build_skill_aware_prompt_addition = Mock(return_value='')
query = _make_query()
result = await stage_process_capture(preproc_module, app, query)
assert result.result_type == entities_module.ResultType.CONTINUE
if query.prompt and query.prompt.messages:
assert 'Available Skills' not in (query.prompt.messages[0].content or '')
async def stage_process_capture(preproc_module, app, query):
"""Run PreProcessor.process and return the result while keeping ``query``
accessible to the assertions (process mutates query in place)."""
stage = preproc_module.PreProcessor(app)
return await stage.process(query, 'PreProcessor')

View File

@@ -1,89 +0,0 @@
from types import SimpleNamespace
from unittest.mock import AsyncMock
import pytest
from langbot.pkg.api.http.service.skill import SkillService
class TestRequireBoxForWrite:
"""Box is the only source of truth for skills — there is no local
filesystem fallback. Every write and (most) read methods refuse cleanly
when the Box runtime is disabled, unreachable, or simply not installed."""
def _ap_with_disabled_box(self):
return SimpleNamespace(
skill_mgr=SimpleNamespace(reload_skills=AsyncMock()),
box_service=SimpleNamespace(
available=False,
enabled=False,
_connector_error='Box runtime is disabled in config (box.enabled = false)',
),
)
def _ap_with_failed_box(self):
return SimpleNamespace(
skill_mgr=SimpleNamespace(reload_skills=AsyncMock()),
box_service=SimpleNamespace(
available=False,
enabled=True,
_connector_error='docker daemon not running',
),
)
@pytest.mark.asyncio
async def test_create_skill_refused_when_box_disabled(self):
service = SkillService(self._ap_with_disabled_box())
with pytest.raises(ValueError, match='disabled in config'):
await service.create_skill({'name': 'x'})
@pytest.mark.asyncio
async def test_create_skill_refused_when_box_failed(self):
service = SkillService(self._ap_with_failed_box())
with pytest.raises(ValueError, match='docker daemon not running'):
await service.create_skill({'name': 'x'})
@pytest.mark.asyncio
async def test_update_skill_refused_when_box_disabled(self):
service = SkillService(self._ap_with_disabled_box())
with pytest.raises(ValueError, match='Editing a skill requires the Box runtime'):
await service.update_skill('x', {})
@pytest.mark.asyncio
async def test_write_skill_file_refused_when_box_disabled(self):
service = SkillService(self._ap_with_disabled_box())
with pytest.raises(ValueError, match='Editing skill files requires the Box runtime'):
await service.write_skill_file('x', 'a.txt', 'hi')
@pytest.mark.asyncio
async def test_install_from_github_refused_when_box_disabled(self):
service = SkillService(self._ap_with_disabled_box())
with pytest.raises(ValueError, match='Installing a skill from GitHub'):
await service.install_from_github({'owner': 'o', 'repo': 'r', 'asset_url': 'https://example/x.zip'})
@pytest.mark.asyncio
async def test_install_from_zip_upload_refused_when_box_disabled(self):
service = SkillService(self._ap_with_disabled_box())
with pytest.raises(ValueError, match='Installing a skill from upload'):
await service.install_from_zip_upload(file_bytes=b'', filename='x.zip')
@pytest.mark.asyncio
async def test_create_skill_refused_when_box_service_missing_entirely(self):
"""No ap.box_service attribute at all (truly minimal setup):
Box is the only source of truth, so creation must still refuse."""
service = SkillService(SimpleNamespace(skill_mgr=SimpleNamespace(reload_skills=AsyncMock())))
with pytest.raises(ValueError, match='not initialised'):
await service.create_skill({'name': 'x'})
@pytest.mark.asyncio
async def test_list_skills_returns_empty_when_box_unavailable(self):
"""list_skills should render an empty surface (not crash) so the
skills page can show a banner instead of a broken state."""
service = SkillService(self._ap_with_disabled_box())
assert await service.list_skills() == []
@pytest.mark.asyncio
async def test_read_skill_file_refused_when_box_unavailable(self):
service = SkillService(self._ap_with_disabled_box())
with pytest.raises(ValueError, match='Reading a skill file'):
await service.read_skill_file('x', 'a.txt')

View File

@@ -11,6 +11,7 @@ Uses tmp_path for file system isolation where applicable.
import os
import pytest
from unittest.mock import patch
class TestCheckIfSourceInstall:
@@ -18,7 +19,7 @@ class TestCheckIfSourceInstall:
def test_returns_true_for_source_install(self, tmp_path, monkeypatch):
"""Should return True when main.py with LangBot marker exists."""
main_py = tmp_path / 'main.py'
main_py = tmp_path / "main.py"
main_py.write_text('# LangBot/main.py\n# This is the entry point')
monkeypatch.chdir(tmp_path)
@@ -32,14 +33,52 @@ class TestCheckIfSourceInstall:
paths._is_source_install = None
# Note: ``_check_if_source_install`` was refactored to walk
# ``Path(__file__).resolve().parents`` looking for ``pyproject.toml`` +
# ``main.py`` instead of relying on the cwd. That makes it robust to where
# the process is launched from but also means the old "cwd doesn't have
# main.py" / "main.py without marker" / "IOError on read" cases no longer
# apply — there's no file read at all. The corresponding negative tests
# were removed; ``test_returns_true_for_source_install`` still exercises
# the positive path because the repo checkout itself is a source install.
def test_returns_false_when_no_main_py(self, tmp_path, monkeypatch):
"""Should return False when main.py doesn't exist."""
monkeypatch.chdir(tmp_path)
from langbot.pkg.utils import paths
paths._is_source_install = None
result = paths._check_if_source_install()
assert result is False
paths._is_source_install = None
def test_returns_false_when_main_py_without_marker(self, tmp_path, monkeypatch):
"""Should return False when main.py exists but lacks LangBot marker."""
main_py = tmp_path / "main.py"
main_py.write_text('# Some other project\nprint("hello")')
monkeypatch.chdir(tmp_path)
from langbot.pkg.utils import paths
paths._is_source_install = None
result = paths._check_if_source_install()
assert result is False
paths._is_source_install = None
def test_handles_io_error_gracefully(self, tmp_path, monkeypatch):
"""Should return False when main.py cannot be read."""
main_py = tmp_path / "main.py"
main_py.write_text('# LangBot/main.py\n')
monkeypatch.chdir(tmp_path)
from langbot.pkg.utils import paths
paths._is_source_install = None
# Patch open to raise IOError
with patch("builtins.open", side_effect=IOError("Cannot read")):
result = paths._check_if_source_install()
assert result is False
paths._is_source_install = None
class TestGetFrontendPath:
@@ -53,16 +92,16 @@ class TestGetFrontendPath:
result = paths.get_frontend_path()
# The result should contain web/dist or be an absolute path to it
assert 'web/dist' in result or result.endswith('dist')
assert "web/dist" in result or result.endswith("dist")
paths._is_source_install = None
def test_finds_dist_directory_in_source_mode(self, tmp_path, monkeypatch):
"""Should find web/dist when running from source mode."""
main_py = tmp_path / 'main.py'
main_py = tmp_path / "main.py"
main_py.write_text('# LangBot/main.py\n')
web_dist = tmp_path / 'web' / 'dist'
web_dist = tmp_path / "web" / "dist"
web_dist.mkdir(parents=True)
monkeypatch.chdir(tmp_path)
@@ -72,18 +111,18 @@ class TestGetFrontendPath:
paths._is_source_install = None
result = paths.get_frontend_path()
assert result == 'web/dist'
assert result == "web/dist"
paths._is_source_install = None
def test_prefers_dist_over_out_in_source_mode(self, tmp_path, monkeypatch):
"""Should prefer web/dist over web/out when both exist in source mode."""
main_py = tmp_path / 'main.py'
main_py = tmp_path / "main.py"
main_py.write_text('# LangBot/main.py\n')
web_dist = tmp_path / 'web' / 'dist'
web_dist = tmp_path / "web" / "dist"
web_dist.mkdir(parents=True)
web_out = tmp_path / 'web' / 'out'
web_out = tmp_path / "web" / "out"
web_out.mkdir(parents=True)
monkeypatch.chdir(tmp_path)
@@ -93,7 +132,7 @@ class TestGetFrontendPath:
paths._is_source_install = None
result = paths.get_frontend_path()
assert result == 'web/dist'
assert result == "web/dist"
paths._is_source_install = None
@@ -109,19 +148,19 @@ class TestGetResourcePath:
paths._is_source_install = None
result = paths.get_resource_path('nonexistent/file.txt')
assert result == 'nonexistent/file.txt'
result = paths.get_resource_path("nonexistent/file.txt")
assert result == "nonexistent/file.txt"
paths._is_source_install = None
def test_finds_resource_in_current_directory_source_mode(self, tmp_path, monkeypatch):
"""Should find resource in current directory when in source mode."""
main_py = tmp_path / 'main.py'
main_py = tmp_path / "main.py"
main_py.write_text('# LangBot/main.py\n')
resource_file = tmp_path / 'templates' / 'config.yaml'
resource_file = tmp_path / "templates" / "config.yaml"
resource_file.parent.mkdir(parents=True, exist_ok=True)
resource_file.write_text('test: value')
resource_file.write_text("test: value")
monkeypatch.chdir(tmp_path)
@@ -129,18 +168,18 @@ class TestGetResourcePath:
paths._is_source_install = None
result = paths.get_resource_path('templates/config.yaml')
result = paths.get_resource_path("templates/config.yaml")
assert os.path.exists(result)
paths._is_source_install = None
def test_returns_relative_path_in_source_mode(self, tmp_path, monkeypatch):
"""Should return relative path if resource exists in source mode."""
main_py = tmp_path / 'main.py'
main_py = tmp_path / "main.py"
main_py.write_text('# LangBot/main.py\n')
resource_file = tmp_path / 'test_resource.txt'
resource_file.write_text('test content')
resource_file = tmp_path / "test_resource.txt"
resource_file.write_text("test content")
monkeypatch.chdir(tmp_path)
@@ -148,8 +187,8 @@ class TestGetResourcePath:
paths._is_source_install = None
result = paths.get_resource_path('test_resource.txt')
assert result == 'test_resource.txt'
result = paths.get_resource_path("test_resource.txt")
assert result == "test_resource.txt"
paths._is_source_install = None
@@ -159,7 +198,7 @@ class TestPathFunctionsCaching:
def test_source_install_cache_is_used(self, tmp_path, monkeypatch):
"""_check_if_source_install should use cached result."""
main_py = tmp_path / 'main.py'
main_py = tmp_path / "main.py"
main_py.write_text('# LangBot/main.py\n')
monkeypatch.chdir(tmp_path)
@@ -180,5 +219,5 @@ class TestPathFunctionsCaching:
paths._is_source_install = None
if __name__ == '__main__':
pytest.main([__file__, '-v'])
if __name__ == "__main__":
pytest.main([__file__, "-v"])

View File

@@ -0,0 +1,136 @@
"""
Unit tests for version utility functions.
Tests version comparison logic without network calls.
"""
from __future__ import annotations
from unittest.mock import Mock
from langbot.pkg.utils.version import VersionManager
class TestVersionComparison:
"""Tests for version comparison functions."""
def _create_version_manager(self):
"""Create a VersionManager with mock app."""
mock_app = Mock()
mock_app.proxy_mgr = Mock()
mock_app.proxy_mgr.get_forward_providers = Mock(return_value={})
mock_app.logger = Mock()
return VersionManager(mock_app)
def test_is_newer_same_version(self):
"""is_newer returns False for same version."""
vm = self._create_version_manager()
result = vm.is_newer('v1.0.0', 'v1.0.0')
assert result is False
def test_is_newer_different_major_version(self):
"""is_newer returns False for different major version."""
# Note: is_newer ignores major version changes
vm = self._create_version_manager()
result = vm.is_newer('v2.0.0', 'v1.0.0')
assert result is False
def test_is_newer_minor_update(self):
"""is_newer returns True for minor update within same major."""
vm = self._create_version_manager()
result = vm.is_newer('v1.1.0', 'v1.0.0')
assert result is True
def test_is_newer_patch_update(self):
"""is_newer returns True for patch update within same major."""
vm = self._create_version_manager()
result = vm.is_newer('v1.0.1', 'v1.0.0')
assert result is True
def test_is_newer_with_fourth_segment(self):
"""is_newer ignores fourth version segment."""
# Both have same first 3 segments
vm = self._create_version_manager()
result = vm.is_newer('v1.0.0.1', 'v1.0.0.0')
assert result is False
def test_is_newer_short_version(self):
"""is_newer handles short version numbers."""
vm = self._create_version_manager()
result = vm.is_newer('v1.0', 'v1.0')
assert result is False
def test_is_newer_older_version(self):
"""is_newer returns True when new > old."""
vm = self._create_version_manager()
result = vm.is_newer('v1.2.0', 'v1.1.0')
assert result is True
class TestCompareVersionStr:
"""Tests for compare_version_str static method."""
def test_compare_equal_versions(self):
"""Equal versions return 0."""
result = VersionManager.compare_version_str('v1.0.0', 'v1.0.0')
assert result == 0
def test_compare_without_v_prefix(self):
"""Versions without v prefix work the same."""
result = VersionManager.compare_version_str('1.0.0', '1.0.0')
assert result == 0
def test_compare_mixed_prefix(self):
"""Mixed v prefix works correctly."""
result = VersionManager.compare_version_str('v1.0.0', '1.0.0')
assert result == 0
def test_compare_first_greater(self):
"""First version greater returns 1."""
result = VersionManager.compare_version_str('v1.1.0', 'v1.0.0')
assert result == 1
def test_compare_first_smaller(self):
"""First version smaller returns -1."""
result = VersionManager.compare_version_str('v1.0.0', 'v1.1.0')
assert result == -1
def test_compare_different_lengths(self):
"""Different length versions are padded with zeros."""
result = VersionManager.compare_version_str('v1.0', 'v1.0.0')
assert result == 0
def test_compare_shorter_greater(self):
"""Shorter version padded, first still greater."""
result = VersionManager.compare_version_str('v1.1', 'v1.0.0')
assert result == 1
def test_compare_longer_greater(self):
"""Longer version, first smaller."""
result = VersionManager.compare_version_str('v1.0', 'v1.0.1')
assert result == -1
def test_compare_major_version(self):
"""Major version comparison."""
result = VersionManager.compare_version_str('v2.0.0', 'v1.9.9')
assert result == 1
def test_compare_minor_version(self):
"""Minor version comparison."""
result = VersionManager.compare_version_str('v1.5.0', 'v1.4.9')
assert result == 1
def test_compare_patch_version(self):
"""Patch version comparison."""
result = VersionManager.compare_version_str('v1.0.1', 'v1.0.0')
assert result == 1
def test_compare_four_segments(self):
"""Four segment version comparison."""
result = VersionManager.compare_version_str('v1.0.0.1', 'v1.0.0.0')
assert result == 1
def test_compare_long_versions(self):
"""Long version strings work correctly."""
result = VersionManager.compare_version_str('v1.2.3.4.5', 'v1.2.3.4.4')
assert result == 1

82
uv.lock generated
View File

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{ url = "https://files.pythonhosted.org/packages/ef/71/9a2c88abb5fe47b46168b262254d5b5d635de371eba4bd01ea5c8c109575/botocore-1.42.39-py3-none-any.whl", hash = "sha256:9e0d0fed9226449cc26fcf2bbffc0392ac698dd8378e8395ce54f3ec13f81d58", size = 14591958, upload-time = "2026-01-30T20:38:14.814Z" },
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[[package]]
name = "bracex"
version = "2.6"
source = { registry = "https://pypi.org/simple" }
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{ url = "https://files.pythonhosted.org/packages/9d/2a/9186535ce58db529927f6cf5990a849aa9e052eea3e2cfefe20b9e1802da/bracex-2.6-py3-none-any.whl", hash = "sha256:0b0049264e7340b3ec782b5cb99beb325f36c3782a32e36e876452fd49a09952", size = 11508, upload-time = "2025-06-22T19:12:29.781Z" },
]
[[package]]
name = "build"
version = "1.4.0"
@@ -1095,15 +1086,6 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/12/b3/231ffd4ab1fc9d679809f356cebee130ac7daa00d6d6f3206dd4fd137e9e/distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2", size = 20277, upload-time = "2023-12-24T09:54:30.421Z" },
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[[package]]
name = "dockerfile-parse"
version = "2.0.1"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/92/df/929ee0b5d2c8bd8d713c45e71b94ab57c7e11e322130724d54f469b2cd48/dockerfile-parse-2.0.1.tar.gz", hash = "sha256:3184ccdc513221983e503ac00e1aa504a2aa8f84e5de673c46b0b6eee99ec7bc", size = 24556, upload-time = "2023-07-18T13:36:07.897Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/7a/6c/79cd5bc1b880d8c1a9a5550aa8dacd57353fa3bb2457227e1fb47383eb49/dockerfile_parse-2.0.1-py2.py3-none-any.whl", hash = "sha256:bdffd126d2eb26acf1066acb54cb2e336682e1d72b974a40894fac76a4df17f6", size = 14845, upload-time = "2023-07-18T13:36:06.052Z" },
]
[[package]]
name = "docstring-parser"
version = "0.17.0"
@@ -1133,28 +1115,6 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/b0/0d/9feae160378a3553fa9a339b0e9c1a048e147a4127210e286ef18b730f03/durationpy-0.10-py3-none-any.whl", hash = "sha256:3b41e1b601234296b4fb368338fdcd3e13e0b4fb5b67345948f4f2bf9868b286", size = 3922, upload-time = "2025-05-17T13:52:36.463Z" },
]
[[package]]
name = "e2b"
version = "2.21.1"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "attrs" },
{ name = "dockerfile-parse" },
{ name = "h2" },
{ name = "httpcore" },
{ name = "httpx" },
{ name = "packaging" },
{ name = "protobuf" },
{ name = "python-dateutil" },
{ name = "rich" },
{ name = "typing-extensions" },
{ name = "wcmatch" },
]
sdist = { url = "https://files.pythonhosted.org/packages/f7/97/0e86ccb9e05c18e6e795e0808f14e2dc9f5c9ffb7be2a5cb77afd6d9f59e/e2b-2.21.1.tar.gz", hash = "sha256:2eff473ca03173cee1ccd9f9ec9e90c2b4705cca418e080e3104753d7ec33490", size = 157458, upload-time = "2026-05-14T17:36:02.318Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/6f/d4/8b6a9a120e724dd8f91aededa89348a667a01fffbba28ae1a42cb397b0f0/e2b-2.21.1-py3-none-any.whl", hash = "sha256:9ec4646f3dba4a6da855baa8adeab239aa988e15904611e38bf12aeec2562ac9", size = 297476, upload-time = "2026-05-14T17:36:00.351Z" },
]
[[package]]
name = "ebooklib"
version = "0.20"
@@ -1899,7 +1859,7 @@ wheels = [
[[package]]
name = "langbot"
version = "4.10.0b1"
version = "4.9.7"
source = { editable = "." }
dependencies = [
{ name = "aiocqhttp" },
@@ -2013,7 +1973,7 @@ requires-dist = [
{ name = "ebooklib", specifier = ">=0.18" },
{ name = "gewechat-client", specifier = ">=0.1.5" },
{ name = "html2text", specifier = ">=2024.2.26" },
{ name = "langbot-plugin", specifier = "==0.4.0b1" },
{ name = "langbot-plugin", specifier = "==0.3.11" },
{ name = "langchain", specifier = ">=0.2.0" },
{ name = "langchain-core", specifier = ">=1.2.28" },
{ name = "langchain-text-splitters", specifier = ">=1.1.2" },
@@ -2076,13 +2036,11 @@ dev = [
[[package]]
name = "langbot-plugin"
version = "0.4.0b1"
version = "0.3.11"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "aiofiles" },
{ name = "aiohttp" },
{ name = "dotenv" },
{ name = "e2b" },
{ name = "httpx" },
{ name = "jinja2" },
{ name = "pip" },
@@ -2096,9 +2054,9 @@ dependencies = [
{ name = "watchdog" },
{ name = "websockets" },
]
sdist = { url = "https://files.pythonhosted.org/packages/8a/e0/4bb2fd08813879d3da390f588b2927ae626edcfd45dca36900e2e54fb23c/langbot_plugin-0.4.0b1.tar.gz", hash = "sha256:f523c197ff9f5aa3db737e29765ebe1f7a8c96f973240ce3769ccccd0bfddde7", size = 216965, upload-time = "2026-05-21T05:23:27.682Z" }
sdist = { url = "https://files.pythonhosted.org/packages/91/83/93b86bcdbfe51d820fa59232aaa73cc802d6ce614f67d8f8b33957419538/langbot_plugin-0.3.11.tar.gz", hash = "sha256:8d10c98c771b468b2d35cc007778439c39922a88265fcc16a5881234bc7c1b19", size = 190315, upload-time = "2026-05-12T15:45:24.262Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/a0/59/9c6df7cd652d3434d1139ee8392e170108e5f980046b9a55bff324e094fe/langbot_plugin-0.4.0b1-py3-none-any.whl", hash = "sha256:b533407296399c7693255678a4d1390be957dabffa21ca2982e56d28a728854b", size = 194310, upload-time = "2026-05-21T05:23:26.215Z" },
{ url = "https://files.pythonhosted.org/packages/8f/22/de7977a6a5cbf557b80043eb3ed39e5feff24033a5d6db4ab88d48ccb6ea/langbot_plugin-0.3.11-py3-none-any.whl", hash = "sha256:c1d2e84eda1584902d99efa316b850c08c1c04fcc199306ff4af1dca1431304a", size = 165574, upload-time = "2026-05-12T15:45:22.908Z" },
]
[[package]]
@@ -2793,7 +2751,7 @@ wheels = [
[[package]]
name = "moto"
version = "5.2.1"
source = { registry = "https://pypi.org/simple" }
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
dependencies = [
{ name = "boto3" },
{ name = "botocore" },
@@ -2803,9 +2761,9 @@ dependencies = [
{ name = "werkzeug" },
{ name = "xmltodict" },
]
sdist = { url = "https://files.pythonhosted.org/packages/f6/e9/c38202162db2e76623176be9f1dbc9aa41228ffa91ee8da2d3986082c3e3/moto-5.2.1.tar.gz", hash = "sha256:ccb2f3e1dfa82e50e054bda98b0be708d244d2668364dcc1d45e8d3de6091bde", size = 8634437, upload-time = "2026-05-10T19:11:57.286Z" }
sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/f6/e9/c38202162db2e76623176be9f1dbc9aa41228ffa91ee8da2d3986082c3e3/moto-5.2.1.tar.gz", hash = "sha256:ccb2f3e1dfa82e50e054bda98b0be708d244d2668364dcc1d45e8d3de6091bde", size = 8634437, upload-time = "2026-05-10T19:11:57.286Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/15/79/8085b7c1ecd48d0535c3c8444a1d8df2926e457dce8e55fabc332a382c9c/moto-5.2.1-py3-none-any.whl", hash = "sha256:19d2fbd6e613aa5b4e364c52cd5d3cea371643a0f4210689a703227bd2924c5c", size = 6671379, upload-time = "2026-05-10T19:11:53.543Z" },
{ url = "https://pypi.tuna.tsinghua.edu.cn/packages/15/79/8085b7c1ecd48d0535c3c8444a1d8df2926e457dce8e55fabc332a382c9c/moto-5.2.1-py3-none-any.whl", hash = "sha256:19d2fbd6e613aa5b4e364c52cd5d3cea371643a0f4210689a703227bd2924c5c", size = 6671379, upload-time = "2026-05-10T19:11:53.543Z" },
]
[[package]]
@@ -4809,15 +4767,15 @@ wheels = [
[[package]]
name = "responses"
version = "0.26.0"
source = { registry = "https://pypi.org/simple" }
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
dependencies = [
{ name = "pyyaml" },
{ name = "requests" },
{ name = "urllib3" },
]
sdist = { url = "https://files.pythonhosted.org/packages/9f/b4/b7e040379838cc71bf5aabdb26998dfbe5ee73904c92c1c161faf5de8866/responses-0.26.0.tar.gz", hash = "sha256:c7f6923e6343ef3682816ba421c006626777893cb0d5e1434f674b649bac9eb4", size = 81303, upload-time = "2026-02-19T14:38:05.574Z" }
sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/9f/b4/b7e040379838cc71bf5aabdb26998dfbe5ee73904c92c1c161faf5de8866/responses-0.26.0.tar.gz", hash = "sha256:c7f6923e6343ef3682816ba421c006626777893cb0d5e1434f674b649bac9eb4", size = 81303, upload-time = "2026-02-19T14:38:05.574Z" }
wheels = [
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[[package]]
@@ -5973,18 +5931,6 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/6e/d4/ed38dd3b1767193de971e694aa544356e63353c33a85d948166b5ff58b9e/watchfiles-1.1.1-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3e6f39af2eab0118338902798b5aa6664f46ff66bc0280de76fca67a7f262a49", size = 457546, upload-time = "2025-10-14T15:06:13.372Z" },
]
[[package]]
name = "wcmatch"
version = "10.1"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "bracex" },
]
sdist = { url = "https://files.pythonhosted.org/packages/79/3e/c0bdc27cf06f4e47680bd5803a07cb3dfd17de84cde92dd217dcb9e05253/wcmatch-10.1.tar.gz", hash = "sha256:f11f94208c8c8484a16f4f48638a85d771d9513f4ab3f37595978801cb9465af", size = 117421, upload-time = "2025-06-22T19:14:02.49Z" }
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]
[[package]]
name = "websocket-client"
version = "1.9.0"
@@ -6126,10 +6072,10 @@ wheels = [
[[package]]
name = "xmltodict"
version = "1.0.4"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/19/70/80f3b7c10d2630aa66414bf23d210386700aa390547278c789afa994fd7e/xmltodict-1.0.4.tar.gz", hash = "sha256:6d94c9f834dd9e44514162799d344d815a3a4faec913717a9ecbfa5be1bb8e61", size = 26124, upload-time = "2026-02-22T02:21:22.074Z" }
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File diff suppressed because it is too large Load Diff

View File

@@ -4,7 +4,6 @@ import { httpClient } from '@/app/infra/http/HttpClient';
import { Switch } from '@/components/ui/switch';
import { useTranslation } from 'react-i18next';
import { toast } from 'sonner';
import { MessageSquare, Workflow } from 'lucide-react';
export default function BotCard({
botCardVO,
@@ -43,14 +42,28 @@ export default function BotCard({
</div>
<div className={`${styles.basicInfoAdapterContainer}`}>
<MessageSquare className={`${styles.basicInfoAdapterIcon}`} />
<svg
className={`${styles.basicInfoAdapterIcon}`}
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 24 24"
fill="currentColor"
>
<path d="M2 8.99374C2 5.68349 4.67654 3 8.00066 3H15.9993C19.3134 3 22 5.69478 22 8.99374V21H8.00066C4.68659 21 2 18.3052 2 15.0063V8.99374ZM20 19V8.99374C20 6.79539 18.2049 5 15.9993 5H8.00066C5.78458 5 4 6.78458 4 8.99374V15.0063C4 17.2046 5.79512 19 8.00066 19H20ZM14 11H16V13H14V11ZM8 11H10V13H8V11Z"></path>
</svg>
<span className={`${styles.basicInfoAdapterLabel}`}>
{botCardVO.adapterLabel}
</span>
</div>
<div className={`${styles.basicInfoPipelineContainer}`}>
<Workflow className={`${styles.basicInfoPipelineIcon}`} />
<svg
className={`${styles.basicInfoPipelineIcon}`}
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 24 24"
fill="currentColor"
>
<path d="M6 21.5C4.067 21.5 2.5 19.933 2.5 18C2.5 16.067 4.067 14.5 6 14.5C7.5852 14.5 8.92427 15.5539 9.35481 16.9992L15 16.9994V15L17 14.9994V9.24339L14.757 6.99938H9V9.00003H3V3.00003H9V4.99939H14.757L18 1.75739L22.2426 6.00003L19 9.24139V14.9994L21 15V21H15V18.9994L9.35499 19.0003C8.92464 20.4459 7.58543 21.5 6 21.5ZM6 16.5C5.17157 16.5 4.5 17.1716 4.5 18C4.5 18.8285 5.17157 19.5 6 19.5C6.82843 19.5 7.5 18.8285 7.5 18C7.5 17.1716 6.82843 16.5 6 16.5ZM19 17H17V19H19V17ZM18 4.58581L16.5858 6.00003L18 7.41424L19.4142 6.00003L18 4.58581ZM7 5.00003H5V7.00003H7V5.00003Z"></path>
</svg>
<span className={`${styles.basicInfoPipelineLabel}`}>
{botCardVO.usePipelineName}
</span>

View File

@@ -1,53 +0,0 @@
import { useTranslation } from 'react-i18next';
import { Info, ShieldAlert } from 'lucide-react';
import { Alert, AlertDescription } from '@/components/ui/alert';
/**
* Banner shown when a feature depends on the Box sandbox runtime but it is
* currently disabled in config or otherwise unavailable. Pass the ``hint``
* key returned by ``useBoxStatus`` (``'boxDisabled' | 'boxUnavailable'``).
*
* Renders nothing when there is no hint — safe to drop at the top of any
* page that may or may not need to surface the notice.
*/
export interface BoxUnavailableNoticeProps {
hint: 'boxDisabled' | 'boxUnavailable' | null;
/** Specific failure reason from the backend (``connector_error``). Shown
* on a dedicated line so the user sees WHY (e.g. ``Configured sandbox
* backend "nsjail" is unavailable``) instead of just the generic
* "unavailable" wording. Ignored when ``hint === 'boxDisabled'``
* because the disabled-by-config message already carries the reason. */
reason?: string | null;
className?: string;
}
export function BoxUnavailableNotice({
hint,
reason,
className,
}: BoxUnavailableNoticeProps) {
const { t } = useTranslation();
if (!hint) return null;
const variant = hint === 'boxDisabled' ? 'default' : 'destructive';
const Icon = hint === 'boxDisabled' ? Info : ShieldAlert;
const showReason = hint === 'boxUnavailable' && reason;
return (
<Alert variant={variant} className={className}>
<Icon className="h-4 w-4" />
<AlertDescription className="space-y-1">
<div>{t(`monitoring.${hint}`)}</div>
{showReason && (
<div className="text-xs font-mono opacity-80 break-all">{reason}</div>
)}
<div className="text-xs opacity-80">
{t('monitoring.boxRequiredHint')}
</div>
</AlertDescription>
</Alert>
);
}
export default BoxUnavailableNotice;

View File

@@ -20,7 +20,7 @@ import {
} from '@/components/ui/item';
import { httpClient } from '@/app/infra/http/HttpClient';
import { systemInfo } from '@/app/infra/http';
import { Loader2, ExternalLink, KeyRound, Layers } from 'lucide-react';
import { Loader2, ExternalLink, KeyRound } from 'lucide-react';
import PasswordChangeDialog from '../password-change-dialog/PasswordChangeDialog';
interface AccountSettingsDialogProps {
@@ -136,7 +136,34 @@ export default function AccountSettingsDialog({
{/* Space Account Item */}
<Item size="sm" variant="muted" className="rounded-lg">
<ItemMedia variant="icon">
<Layers className="h-4 w-4" />
<svg
className="h-4 w-4"
viewBox="0 0 24 24"
fill="none"
xmlns="http://www.w3.org/2000/svg"
>
<path
d="M12 2L2 7L12 12L22 7L12 2Z"
stroke="currentColor"
strokeWidth="2"
strokeLinecap="round"
strokeLinejoin="round"
/>
<path
d="M2 17L12 22L22 17"
stroke="currentColor"
strokeWidth="2"
strokeLinecap="round"
strokeLinejoin="round"
/>
<path
d="M2 12L12 17L22 12"
stroke="currentColor"
strokeWidth="2"
strokeLinecap="round"
strokeLinejoin="round"
/>
</svg>
</ItemMedia>
<ItemContent>
<ItemTitle>{t('account.spaceStatus')}</ItemTitle>

View File

@@ -20,14 +20,8 @@ import { useTranslation } from 'react-i18next';
import { cn } from '@/lib/utils';
import { Input } from '@/components/ui/input';
import { Button } from '@/components/ui/button';
import { Copy, Check, Globe, Info, QrCode } from 'lucide-react';
import { Copy, Check, Globe, QrCode } from 'lucide-react';
import { copyToClipboard } from '@/app/utils/clipboard';
import {
Tooltip,
TooltipContent,
TooltipProvider,
TooltipTrigger,
} from '@/components/ui/tooltip';
import { systemInfo } from '@/app/infra/http';
/**
@@ -129,13 +123,13 @@ function WebhookUrlField({
};
return (
<FormItem className="min-w-0">
<FormLabel className="break-words">{label}</FormLabel>
<div className="flex min-w-0 items-center gap-2">
<FormItem>
<FormLabel>{label}</FormLabel>
<div className="flex items-center gap-2">
<Input
value={url}
readOnly
className="min-w-0 flex-1 bg-muted"
className="flex-1 bg-muted"
onClick={(e) => (e.target as HTMLInputElement).select()}
/>
<Button
@@ -152,11 +146,11 @@ function WebhookUrlField({
</Button>
</div>
{extraUrl && (
<div className="mt-2 flex min-w-0 items-center gap-2">
<div className="flex items-center gap-2 mt-2">
<Input
value={extraUrl}
readOnly
className="min-w-0 flex-1 bg-muted"
className="flex-1 bg-muted"
onClick={(e) => (e.target as HTMLInputElement).select()}
/>
<Button
@@ -174,14 +168,12 @@ function WebhookUrlField({
</div>
)}
{description && (
<p className="text-sm break-words text-muted-foreground">
{description}
</p>
<p className="text-sm text-muted-foreground">{description}</p>
)}
{systemInfo.edition === 'community' && (
<div className="mt-1 flex max-w-full min-w-0 items-start gap-2.5 rounded-md border border-border/60 bg-muted/40 px-3 py-2.5">
<div className="flex items-start gap-2.5 rounded-md border border-border/60 bg-muted/40 px-3 py-2.5 mt-1 max-w-2xl">
<Globe className="h-4 w-4 text-muted-foreground shrink-0 mt-0.5" />
<p className="text-sm leading-relaxed break-words text-muted-foreground">
<p className="text-sm text-muted-foreground leading-relaxed">
{t('bots.webhookSaasHint')}{' '}
<a
href="https://space.langbot.app/cloud?utm_source=local_webui&utm_medium=webhook_alert&utm_campaign=saas_conversion"
@@ -470,7 +462,7 @@ export default function DynamicFormComponent({
return (
<Form {...form}>
<div className="min-w-0 max-w-full space-y-4 overflow-x-hidden">
<div className="space-y-4">
{/* QR code login dialog */}
<QrCodeLoginDialog
open={qrDialogOpen}
@@ -515,53 +507,8 @@ export default function DynamicFormComponent({
}
}
// ``disable_if`` mirrors ``show_if``'s evaluator but instead of
// hiding the field, leaves it visible and inert. Use it when the
// operator needs to see that the field exists yet cannot edit it
// under the current runtime state (e.g. sandbox-bound fields when
// Box is disabled).
let isDisabledByCondition = false;
if (config.disable_if) {
const dependValue = resolveShowIfValue(
config.disable_if.field,
watchedValues as Record<string, unknown>,
externalDependentValues,
systemContext,
);
const cond = config.disable_if;
if (cond.operator === 'eq' && dependValue === cond.value) {
isDisabledByCondition = true;
} else if (cond.operator === 'neq' && dependValue !== cond.value) {
isDisabledByCondition = true;
} else if (
cond.operator === 'in' &&
Array.isArray(cond.value) &&
cond.value.includes(dependValue)
) {
isDisabledByCondition = true;
}
}
// All fields are disabled when editing (creation_settings are
// immutable) or when ``disable_if`` matches.
const isFieldDisabled = !!isEditing || isDisabledByCondition;
const disabledTooltip =
isDisabledByCondition && config.disabled_tooltip
? extractI18nObject(config.disabled_tooltip)
: '';
const renderDisabledTooltipIcon = () =>
disabledTooltip ? (
<TooltipProvider delayDuration={100}>
<Tooltip>
<TooltipTrigger asChild>
<Info className="h-3.5 w-3.5 text-muted-foreground cursor-help shrink-0" />
</TooltipTrigger>
<TooltipContent className="max-w-xs">
{disabledTooltip}
</TooltipContent>
</Tooltip>
</TooltipProvider>
) : null;
// All fields are disabled when editing (creation_settings are immutable)
const isFieldDisabled = !!isEditing;
// Webhook URL fields are display-only; render outside of form binding
if (config.type === 'webhook-url') {
@@ -684,20 +631,19 @@ export default function DynamicFormComponent({
control={form.control}
name={config.name as keyof FormValues}
render={({ field }) => (
<FormItem className="min-w-0">
<FormItem>
<div
className={cn(
'flex w-full min-w-0 max-w-full flex-row items-center justify-between rounded-lg border p-4',
'flex flex-row items-center justify-between rounded-lg border p-4 max-w-2xl',
isFieldDisabled && 'pointer-events-none opacity-60',
)}
>
<div className="min-w-0 space-y-0.5">
<FormLabel className="flex min-w-0 items-center gap-1.5 text-base">
<div className="space-y-0.5">
<FormLabel className="text-base">
{extractI18nObject(config.label)}
{renderDisabledTooltipIcon()}
</FormLabel>
{config.description && (
<p className="text-sm break-words text-muted-foreground">
<p className="text-sm text-muted-foreground">
{extractI18nObject(config.description)}
</p>
)}
@@ -723,22 +669,16 @@ export default function DynamicFormComponent({
control={form.control}
name={config.name as keyof FormValues}
render={({ field }) => (
<FormItem className="min-w-0">
<FormLabel className="flex min-w-0 items-center gap-1.5">
<span className="min-w-0 break-words">
{extractI18nObject(config.label)}{' '}
{config.required && (
<span className="text-red-500">*</span>
)}
</span>
{renderDisabledTooltipIcon()}
<FormItem>
<FormLabel>
{extractI18nObject(config.label)}{' '}
{config.required && <span className="text-red-500">*</span>}
</FormLabel>
<FormControl>
<div
className={cn(
'min-w-0 max-w-full overflow-x-hidden',
isFieldDisabled && 'pointer-events-none opacity-60',
)}
className={
isFieldDisabled ? 'pointer-events-none opacity-60' : ''
}
>
<DynamicFormItemComponent
config={config}
@@ -748,7 +688,7 @@ export default function DynamicFormComponent({
</div>
</FormControl>
{config.description && (
<p className="text-sm break-words text-muted-foreground">
<p className="text-sm text-muted-foreground">
{extractI18nObject(config.description)}
</p>
)}

View File

@@ -69,6 +69,7 @@ export default function DynamicFormItemComponent({
onFileUploaded,
}: {
config: IDynamicFormItemSchema;
// eslint-disable-next-line @typescript-eslint/no-explicit-any
field: ControllerRenderProps<any, any>;
onFileUploaded?: (fileKey: string) => void;
}) {
@@ -250,7 +251,7 @@ export default function DynamicFormItemComponent({
return (
<Input
type="number"
className="w-full max-w-xs"
className="max-w-xs"
{...field}
onChange={(e) => field.onChange(Number(e.target.value))}
/>
@@ -259,8 +260,8 @@ export default function DynamicFormItemComponent({
case DynamicFormItemType.STRING:
if (config.options && config.options.length > 0) {
return (
<div className="flex w-full max-w-md min-w-0 items-center gap-1.5">
<Input className="min-w-0 flex-1" {...field} />
<div className="flex items-center gap-1.5 max-w-md">
<Input className="flex-1" {...field} />
<DropdownMenu>
<DropdownMenuTrigger asChild>
<Button
@@ -291,26 +292,21 @@ export default function DynamicFormItemComponent({
</div>
);
}
return <Input className="w-full max-w-md" {...field} />;
return <Input className="max-w-md" {...field} />;
case DynamicFormItemType.TEXT:
return (
<Textarea
{...field}
className="min-h-[120px] w-full max-w-full resize-y overflow-x-hidden break-all"
/>
);
return <Textarea {...field} className="min-h-[120px] max-w-2xl" />;
case DynamicFormItemType.BOOLEAN:
return <Switch checked={field.value} onCheckedChange={field.onChange} />;
case DynamicFormItemType.STRING_ARRAY:
return (
<div className="w-full max-w-md min-w-0 space-y-2">
<div className="space-y-2 max-w-md">
{field.value.map((item: string, index: number) => (
<div key={index} className="flex min-w-0 items-center gap-1.5">
<div key={index} className="flex gap-1.5 items-center">
<Input
className="min-w-0 flex-1"
className="flex-1"
value={item}
onChange={(e) => {
const newValue = [...field.value];
@@ -351,7 +347,7 @@ export default function DynamicFormItemComponent({
case DynamicFormItemType.SELECT:
return (
<Select value={field.value} onValueChange={field.onChange}>
<SelectTrigger className="w-full max-w-md bg-[#ffffff] dark:bg-[#2a2a2e]">
<SelectTrigger className="max-w-md bg-[#ffffff] dark:bg-[#2a2a2e]">
<SelectValue placeholder={t('common.select')} />
</SelectTrigger>
<SelectContent>
@@ -413,10 +409,10 @@ export default function DynamicFormItemComponent({
];
return (
<div className="flex w-full max-w-md min-w-0 items-center gap-1.5">
<div className="min-w-0 flex-1">
<div className="max-w-md flex items-center gap-1.5">
<div className="flex-1">
<Select value={field.value} onValueChange={field.onChange}>
<SelectTrigger className="min-w-0 bg-[#ffffff] dark:bg-[#2a2a2e]">
<SelectTrigger className="bg-[#ffffff] dark:bg-[#2a2a2e]">
<SelectValue placeholder={t('models.selectModel')} />
</SelectTrigger>
<SelectContent>
@@ -581,9 +577,9 @@ export default function DynamicFormItemComponent({
);
return (
<div className="w-full max-w-md min-w-0">
<div className="max-w-md">
<Select value={field.value} onValueChange={field.onChange}>
<SelectTrigger className="min-w-0 bg-[#ffffff] dark:bg-[#2a2a2e]">
<SelectTrigger className="bg-[#ffffff] dark:bg-[#2a2a2e]">
<SelectValue placeholder={t('knowledge.selectEmbeddingModel')} />
</SelectTrigger>
<SelectContent>
@@ -616,12 +612,12 @@ export default function DynamicFormItemComponent({
);
return (
<div className="w-full max-w-md min-w-0">
<div className="max-w-md">
<Select
value={field.value || '__none__'}
onValueChange={(v) => field.onChange(v === '__none__' ? '' : v)}
>
<SelectTrigger className="min-w-0 bg-[#ffffff] dark:bg-[#2a2a2e]">
<SelectTrigger className="bg-[#ffffff] dark:bg-[#2a2a2e]">
<SelectValue placeholder={t('models.rerank')} />
</SelectTrigger>
<SelectContent>
@@ -717,7 +713,7 @@ export default function DynamicFormItemComponent({
placeholder: string,
) => (
<Select value={value} onValueChange={onChange}>
<SelectTrigger className="min-w-0 bg-[#ffffff] dark:bg-[#2a2a2e]">
<SelectTrigger className="bg-[#ffffff] dark:bg-[#2a2a2e]">
<SelectValue placeholder={placeholder} />
</SelectTrigger>
<SelectContent>
@@ -883,14 +879,14 @@ export default function DynamicFormItemComponent({
};
return (
<div className="w-full min-w-0 space-y-3">
<div className="space-y-3">
{/* Primary model selector */}
<div>
<p className="text-xs text-muted-foreground mb-1">
{t('models.fallback.primary')}
</p>
<div className="flex min-w-0 items-center gap-1.5">
<div className="min-w-0 flex-1">
<div className="flex items-center gap-1.5">
<div className="flex-1">
{renderModelSelect(
modelValue.primary,
(val) => updateValue({ primary: val }),
@@ -922,16 +918,16 @@ export default function DynamicFormItemComponent({
{/* Fallback models */}
{modelValue.fallbacks.length > 0 && (
<div className="min-w-0 space-y-2">
<div className="space-y-2">
<p className="text-xs text-muted-foreground">
{t('models.fallback.fallbackList')}
</p>
{modelValue.fallbacks.map((fbUuid: string, index: number) => (
<div key={index} className="flex min-w-0 items-center gap-2">
<div key={index} className="flex items-center gap-2">
<span className="text-xs text-muted-foreground w-4 shrink-0">
{index + 1}.
</span>
<div className="min-w-0 flex-1">
<div className="flex-1">
{renderModelSelect(
fbUuid,
(val) => updateFallbackModel(index, val),
@@ -1007,22 +1003,20 @@ export default function DynamicFormItemComponent({
return (
<Select value={field.value} onValueChange={field.onChange}>
<SelectTrigger className="min-w-0 bg-[#ffffff] dark:bg-[#2a2a2e]">
<SelectTrigger className="bg-[#ffffff] dark:bg-[#2a2a2e]">
{field.value && field.value !== '__none__' ? (
(() => {
const selectedKb = knowledgeBases.find(
(kb) => kb.uuid === field.value,
);
return (
<div className="flex min-w-0 items-center gap-2">
<div className="flex items-center gap-2">
{selectedKb?.emoji && (
<span className="text-sm shrink-0">
{selectedKb.emoji}
</span>
)}
<span className="truncate">
{selectedKb?.name ?? field.value}
</span>
<span>{selectedKb?.name ?? field.value}</span>
</div>
);
})()
@@ -1072,9 +1066,9 @@ export default function DynamicFormItemComponent({
return (
<>
<div className="min-w-0 space-y-2">
<div className="space-y-2">
{field.value && field.value.length > 0 ? (
<div className="min-w-0 space-y-2">
<div className="space-y-2">
{field.value.map((kbId: string) => {
const currentKb = knowledgeBases.find(
(base) => base.uuid === kbId,
@@ -1084,17 +1078,17 @@ export default function DynamicFormItemComponent({
return (
<div
key={kbId}
className="flex min-w-0 items-center justify-between rounded-lg border p-3 hover:bg-accent"
className="flex items-center justify-between rounded-lg border p-3 hover:bg-accent"
>
<div className="flex min-w-0 flex-1 items-center gap-2">
<div className="flex items-center gap-2 flex-1">
<div className="flex-1 min-w-0">
<div className="flex min-w-0 items-center gap-2 font-medium">
<div className="font-medium flex items-center gap-2">
{currentKb.emoji && (
<span className="text-sm shrink-0">
{currentKb.emoji}
</span>
)}
<span className="truncate">{currentKb.name}</span>
{currentKb.name}
{currentKb.knowledge_engine?.name && (
<span className="text-xs px-2 py-0.5 rounded-full bg-purple-100 text-purple-700 dark:bg-purple-900 dark:text-purple-300">
{extractI18nObject(
@@ -1104,7 +1098,7 @@ export default function DynamicFormItemComponent({
)}
</div>
{currentKb.description && (
<div className="text-sm break-words text-muted-foreground">
<div className="text-sm text-muted-foreground">
{currentKb.description}
</div>
)}
@@ -1227,7 +1221,7 @@ export default function DynamicFormItemComponent({
case DynamicFormItemType.BOT_SELECTOR:
return (
<Select value={field.value} onValueChange={field.onChange}>
<SelectTrigger className="min-w-0 bg-[#ffffff] dark:bg-[#2a2a2e]">
<SelectTrigger className="bg-[#ffffff] dark:bg-[#2a2a2e]">
<SelectValue placeholder={t('bots.selectBot')} />
</SelectTrigger>
<SelectContent>
@@ -1245,9 +1239,9 @@ export default function DynamicFormItemComponent({
case DynamicFormItemType.TOOLS_SELECTOR:
return (
<>
<div className="min-w-0 space-y-2">
<div className="space-y-2">
{field.value && field.value.length > 0 ? (
<div className="min-w-0 space-y-2">
<div className="space-y-2">
{field.value.map((toolName: string) => {
const currentTool = tools.find(
(tool) => tool.name === toolName,
@@ -1256,12 +1250,12 @@ export default function DynamicFormItemComponent({
return (
<div
key={toolName}
className="flex min-w-0 items-center justify-between rounded-lg border p-3 hover:bg-accent"
className="flex items-center justify-between rounded-lg border p-3 hover:bg-accent"
>
<div className="flex min-w-0 flex-1 items-center gap-2">
<div className="flex items-center gap-2 flex-1">
<Wrench className="h-4 w-4 shrink-0 text-muted-foreground" />
<div className="flex-1 min-w-0">
<div className="truncate font-medium">{toolName}</div>
<div className="font-medium">{toolName}</div>
{currentTool?.human_desc && (
<div className="text-sm text-muted-foreground truncate">
{currentTool.human_desc}
@@ -1385,16 +1379,13 @@ export default function DynamicFormItemComponent({
? field.value
: [{ role: 'system', content: '' }];
return (
<div className="min-w-0 space-y-2">
<div className="space-y-2">
{promptItems.map(
(item: { role: string; content: string }, index: number) => (
<div
key={index}
className="flex min-w-0 flex-col gap-2 sm:flex-row sm:items-center"
>
<div key={index} className="flex gap-2 items-center">
{/* 角色选择 */}
{index === 0 ? (
<div className="w-full shrink-0 rounded border bg-gray-50 px-3 py-2 text-gray-500 sm:w-[120px] dark:border-gray-600 dark:bg-[#2a292e] dark:text-white">
<div className="w-[120px] px-3 py-2 border rounded bg-gray-50 dark:bg-[#2a292e] text-gray-500 dark:text-white dark:border-gray-600">
system
</div>
) : (
@@ -1419,7 +1410,7 @@ export default function DynamicFormItemComponent({
)}
{/* 内容输入 */}
<Textarea
className="min-h-20 w-full min-w-0 flex-1 resize-y overflow-x-hidden break-all sm:w-[300px]"
className="w-[300px]"
value={item.content}
onChange={(e) => {
const newValue = [...(field.value ?? promptItems)];
@@ -1437,12 +1428,20 @@ export default function DynamicFormItemComponent({
className="p-2 hover:bg-gray-100 rounded"
onClick={() => {
const newValue = (field.value ?? promptItems).filter(
// eslint-disable-next-line @typescript-eslint/no-explicit-any
(_: any, i: number) => i !== index,
);
field.onChange(newValue);
}}
>
<Trash2 className="w-5 h-5 text-red-500" />
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 24 24"
fill="currentColor"
className="w-5 h-5 text-red-500"
>
<path d="M7 4V2H17V4H22V6H20V21C20 21.5523 19.5523 22 19 22H5C4.44772 22 4 21.5523 4 21V6H2V4H7ZM6 6V20H18V6H6ZM9 9H11V17H9V9ZM13 9H15V17H13V9Z"></path>
</svg>
</button>
)}
</div>
@@ -1493,7 +1492,14 @@ export default function DynamicFormItemComponent({
}}
title={t('common.delete')}
>
<Trash2 className="w-4 h-4 text-destructive" />
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 24 24"
fill="currentColor"
className="w-4 h-4 text-destructive"
>
<path d="M7 4V2H17V4H22V6H20V21C20 21.5523 19.5523 22 19 22H5C4.44772 22 4 21.5523 4 21V6H2V4H7ZM6 6V20H18V6H6ZM9 9H11V17H9V9ZM13 9H15V17H13V9Z"></path>
</svg>
</Button>
</CardContent>
</Card>
@@ -1525,7 +1531,14 @@ export default function DynamicFormItemComponent({
document.getElementById(`file-input-${config.name}`)?.click()
}
>
<Plus className="w-4 h-4 mr-2" />
<svg
className="w-4 h-4 mr-2"
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 24 24"
fill="currentColor"
>
<path d="M11 11V5H13V11H19V13H13V19H11V13H5V11H11Z"></path>
</svg>
{uploading
? t('plugins.fileUpload.uploading')
: t('plugins.fileUpload.chooseFile')}
@@ -1571,7 +1584,14 @@ export default function DynamicFormItemComponent({
}}
title={t('common.delete')}
>
<Trash2 className="w-4 h-4 text-destructive" />
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 24 24"
fill="currentColor"
className="w-4 h-4 text-destructive"
>
<path d="M7 4V2H17V4H22V6H20V21C20 21.5523 19.5523 22 19 22H5C4.44772 22 4 21.5523 4 21V6H2V4H7ZM6 6V20H18V6H6ZM9 9H11V17H9V9ZM13 9H15V17H13V9Z"></path>
</svg>
</Button>
</CardContent>
</Card>
@@ -1606,7 +1626,14 @@ export default function DynamicFormItemComponent({
?.click()
}
>
<Plus className="w-4 h-4 mr-2" />
<svg
className="w-4 h-4 mr-2"
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 24 24"
fill="currentColor"
>
<path d="M11 11V5H13V11H19V13H13V19H11V13H5V11H11Z"></path>
</svg>
{uploading
? t('plugins.fileUpload.uploading')
: t('plugins.fileUpload.addFile')}

View File

@@ -1,4 +1,4 @@
import { useEffect, useRef, useState } from 'react';
import { useEffect, useState } from 'react';
import { useForm } from 'react-hook-form';
import { zodResolver } from '@hookform/resolvers/zod';
import { z } from 'zod';
@@ -102,30 +102,9 @@ export default function N8nAuthFormComponent({
}, {} as FormValues),
});
const isInitialMount = useRef(true);
const previousInitialValues = useRef(initialValues);
// Stable ref for onSubmit to avoid re-triggering the effect when the
// parent passes a new closure on every render (matches DynamicFormComponent pattern).
const onSubmitRef = useRef(onSubmit);
onSubmitRef.current = onSubmit;
// 当 initialValues 变化时更新表单值
useEffect(() => {
// Skip the first mount — defaultValues already handles it
if (isInitialMount.current) {
isInitialMount.current = false;
previousInitialValues.current = initialValues;
return;
}
// Deep compare to avoid reacting to parent re-renders that pass
// the same values back (e.g. after our own onSubmit emission).
const hasRealChange =
JSON.stringify(previousInitialValues.current) !==
JSON.stringify(initialValues);
if (initialValues && hasRealChange) {
if (initialValues) {
// 合并默认值和初始值
const mergedValues = itemConfigList.reduce(
(acc, item) => {
@@ -141,28 +120,11 @@ export default function N8nAuthFormComponent({
// 更新认证类型
setAuthType((mergedValues['auth-type'] as string) || 'none');
previousInitialValues.current = initialValues;
}
}, [initialValues, form, itemConfigList]);
// 监听表单值变化
useEffect(() => {
// Emit initial form values on mount so the parent form's
// initializedStagesRef registers this stage (matches DynamicFormComponent).
const formValues = form.getValues();
const initialFinalValues = itemConfigList.reduce(
(acc, item) => {
acc[item.name] = formValues[item.name] ?? item.default;
return acc;
},
{} as Record<string, string>,
);
onSubmitRef.current?.(initialFinalValues);
previousInitialValues.current = initialFinalValues as Record<
string,
string
>;
const subscription = form.watch((value, { name }) => {
// 如果认证类型变化,更新状态
if (name === 'auth-type') {
@@ -179,11 +141,10 @@ export default function N8nAuthFormComponent({
{} as Record<string, string>,
);
onSubmitRef.current?.(finalValues);
previousInitialValues.current = finalValues as Record<string, string>;
onSubmit?.(finalValues);
});
return () => subscription.unsubscribe();
}, [form, itemConfigList]);
}, [form, onSubmit, itemConfigList]);
// 根据认证类型过滤表单项
const filteredConfigList = itemConfigList.filter((config) => {

File diff suppressed because it is too large Load Diff

View File

@@ -26,10 +26,11 @@ export interface SidebarEntityItem {
installInfo?: Record<string, unknown>;
hasUpdate?: boolean;
debug?: boolean;
// Set when this item appears in the unified extensions list
extensionType?: 'plugin' | 'mcp' | 'skill';
}
// Install action types that can be triggered from sidebar
export type PluginInstallAction = 'local' | 'github' | null;
// Plugin page registered by a plugin
export interface PluginPageItem {
id: string; // "author/name/pageId"
@@ -49,21 +50,19 @@ export interface SidebarDataContextValue {
knowledgeBases: SidebarEntityItem[];
plugins: SidebarEntityItem[];
mcpServers: SidebarEntityItem[];
skills: SidebarEntityItem[];
pluginPages: PluginPageItem[];
refreshBots: () => Promise<void>;
refreshPipelines: () => Promise<void>;
refreshKnowledgeBases: () => Promise<void>;
refreshPlugins: () => Promise<void>;
refreshMCPServers: () => Promise<void>;
refreshSkills: () => Promise<void>;
refreshAll: () => Promise<void>;
// Breadcrumb: entity name shown when viewing a detail page
detailEntityName: string | null;
setDetailEntityName: (name: string | null) => void;
// Whether the extensions list is grouped by type (shared between page and sidebar)
extensionsGroupByType: boolean;
setExtensionsGroupByType: (enabled: boolean) => void;
// Pending plugin install action triggered from sidebar
pendingPluginInstallAction: PluginInstallAction;
setPendingPluginInstallAction: (action: PluginInstallAction) => void;
}
const SidebarDataContext = createContext<SidebarDataContextValue | null>(null);
@@ -78,22 +77,10 @@ export function SidebarDataProvider({
const [knowledgeBases, setKnowledgeBases] = useState<SidebarEntityItem[]>([]);
const [plugins, setPlugins] = useState<SidebarEntityItem[]>([]);
const [mcpServers, setMCPServers] = useState<SidebarEntityItem[]>([]);
const [skills, setSkills] = useState<SidebarEntityItem[]>([]);
const [pluginPages, setPluginPages] = useState<PluginPageItem[]>([]);
const [detailEntityName, setDetailEntityName] = useState<string | null>(null);
const [extensionsGroupByType, setExtensionsGroupByTypeState] =
useState<boolean>(() => {
if (typeof window === 'undefined') return false;
return localStorage.getItem('extensions_group_by_type') === 'true';
});
const setExtensionsGroupByType = useCallback((enabled: boolean) => {
setExtensionsGroupByTypeState(enabled);
try {
localStorage.setItem('extensions_group_by_type', String(enabled));
} catch {
// ignore
}
}, []);
const [pendingPluginInstallAction, setPendingPluginInstallAction] =
useState<PluginInstallAction>(null);
const refreshBots = useCallback(async () => {
try {
@@ -237,8 +224,8 @@ export function SidebarDataProvider({
const resp = await httpClient.getMCPServers();
setMCPServers(
resp.servers.map((server) => ({
id: server.name, // Keep __ for API calls
name: server.name.replace(/__/g, '/'), // Display with / for readability
id: server.name,
name: server.name,
enabled: server.enable,
runtimeStatus: server.runtime_info?.status,
})),
@@ -248,22 +235,6 @@ export function SidebarDataProvider({
}
}, []);
const refreshSkills = useCallback(async () => {
try {
const resp = await httpClient.getSkills();
setSkills(
resp.skills.map((skill) => ({
id: skill.name,
name: skill.display_name || skill.name,
description: skill.description,
updatedAt: skill.updated_at,
})),
);
} catch (error) {
console.error('Failed to fetch skills for sidebar:', error);
}
}, []);
const refreshAll = useCallback(async () => {
await Promise.all([
refreshBots(),
@@ -271,7 +242,6 @@ export function SidebarDataProvider({
refreshKnowledgeBases(),
refreshPlugins(),
refreshMCPServers(),
refreshSkills(),
]);
}, [
refreshBots,
@@ -279,7 +249,6 @@ export function SidebarDataProvider({
refreshKnowledgeBases,
refreshPlugins,
refreshMCPServers,
refreshSkills,
]);
// Fetch all entity lists on mount
@@ -295,19 +264,17 @@ export function SidebarDataProvider({
knowledgeBases,
plugins,
mcpServers,
skills,
pluginPages,
refreshBots,
refreshPipelines,
refreshKnowledgeBases,
refreshPlugins,
refreshMCPServers,
refreshSkills,
refreshAll,
detailEntityName,
setDetailEntityName,
extensionsGroupByType,
setExtensionsGroupByType,
pendingPluginInstallAction,
setPendingPluginInstallAction,
}}
>
{children}

View File

@@ -1,14 +1,5 @@
import { SidebarChildVO } from '@/app/home/components/home-sidebar/HomeSidebarChild';
import i18n from '@/i18n';
import {
Zap,
LayoutDashboard,
Bot,
Workflow,
BookMarked,
Puzzle,
PlusCircle,
} from 'lucide-react';
const t = (key: string) => {
return i18n.t(key);
@@ -19,7 +10,16 @@ export const sidebarConfigList = [
new SidebarChildVO({
id: 'wizard',
name: t('sidebar.quickStart'),
icon: <Zap className="text-blue-500" />,
icon: (
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 24 24"
fill="currentColor"
className="text-blue-500"
>
<path d="M13 9H21L11 24V15H4L13 0V9ZM11 11V7.22063L7.53238 13H13V17.3944L17.263 11H11Z"></path>
</svg>
),
route: '/wizard',
description: t('wizard.sidebarDescription'),
helpLink: {
@@ -33,7 +33,16 @@ export const sidebarConfigList = [
new SidebarChildVO({
id: 'monitoring',
name: t('monitoring.title'),
icon: <LayoutDashboard className="text-blue-500" />,
icon: (
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 24 24"
fill="currentColor"
className="text-blue-500"
>
<path d="M2 3.9934C2 3.44476 2.45531 3 2.9918 3H21.0082C21.556 3 22 3.44495 22 3.9934V20.0066C22 20.5552 21.5447 21 21.0082 21H2.9918C2.44405 21 2 20.5551 2 20.0066V3.9934ZM4 5V19H20V5H4ZM6 7H18V9H6V7ZM6 11H18V13H6V11ZM6 15H12V17H6V15Z"></path>
</svg>
),
route: '/home/monitoring',
description: t('monitoring.description'),
helpLink: {
@@ -45,7 +54,16 @@ export const sidebarConfigList = [
new SidebarChildVO({
id: 'bots',
name: t('bots.title'),
icon: <Bot className="text-blue-500" />,
icon: (
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 24 24"
fill="currentColor"
className="text-blue-500"
>
<path d="M13.5 2C13.5 2.44425 13.3069 2.84339 13 3.11805V5H18C19.6569 5 21 6.34315 21 8V18C21 19.6569 19.6569 21 18 21H6C4.34315 21 3 19.6569 3 18V8C3 6.34315 4.34315 5 6 5H11V3.11805C10.6931 2.84339 10.5 2.44425 10.5 2C10.5 1.17157 11.1716 0.5 12 0.5C12.8284 0.5 13.5 1.17157 13.5 2ZM6 7C5.44772 7 5 7.44772 5 8V18C5 18.5523 5.44772 19 6 19H18C18.5523 19 19 18.5523 19 18V8C19 7.44772 18.5523 7 18 7H13H11H6ZM2 10H0V16H2V10ZM22 10H24V16H22V10ZM9 14.5C9.82843 14.5 10.5 13.8284 10.5 13C10.5 12.1716 9.82843 11.5 9 11.5C8.17157 11.5 7.5 12.1716 7.5 13C7.5 13.8284 8.17157 14.5 9 14.5ZM15 14.5C15.8284 14.5 16.5 13.8284 16.5 13C16.5 12.1716 15.8284 11.5 15 11.5C14.1716 11.5 13.5 12.1716 13.5 13C13.5 13.8284 14.1716 14.5 15 14.5Z"></path>
</svg>
),
route: '/home/bots',
description: t('bots.description'),
helpLink: {
@@ -58,7 +76,16 @@ export const sidebarConfigList = [
new SidebarChildVO({
id: 'pipelines',
name: t('pipelines.title'),
icon: <Workflow className="text-blue-500" />,
icon: (
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 24 24"
fill="currentColor"
className="text-blue-500"
>
<path d="M6 21.5C4.067 21.5 2.5 19.933 2.5 18C2.5 16.067 4.067 14.5 6 14.5C7.5852 14.5 8.92427 15.5539 9.35481 16.9992L15 16.9994V15L17 14.9994V9.24339L14.757 6.99938H9V9.00003H3V3.00003H9V4.99939H14.757L18 1.75739L22.2426 6.00003L19 9.24139V14.9994L21 15V21H15V18.9994L9.35499 19.0003C8.92464 20.4459 7.58543 21.5 6 21.5ZM6 16.5C5.17157 16.5 4.5 17.1716 4.5 18C4.5 18.8285 5.17157 19.5 6 19.5C6.82843 19.5 7.5 18.8285 7.5 18C7.5 17.1716 6.82843 16.5 6 16.5ZM19 17H17V19H19V17ZM18 4.58581L16.5858 6.00003L18 7.41424L19.4142 6.00003L18 4.58581ZM7 5.00003H5V7.00003H7V5.00003Z"></path>
</svg>
),
route: '/home/pipelines',
description: t('pipelines.description'),
helpLink: {
@@ -71,7 +98,16 @@ export const sidebarConfigList = [
new SidebarChildVO({
id: 'knowledge',
name: t('knowledge.title'),
icon: <BookMarked className="text-blue-500" />,
icon: (
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 24 24"
fill="currentColor"
className="text-blue-500"
>
<path d="M3 18.5V5C3 3.34315 4.34315 2 6 2H20C20.5523 2 21 2.44772 21 3V21C21 21.5523 20.5523 22 20 22H6.5C4.567 22 3 20.433 3 18.5ZM19 20V17H6.5C5.67157 17 5 17.6716 5 18.5C5 19.3284 5.67157 20 6.5 20H19ZM10 4H6C5.44772 4 5 4.44772 5 5V15.3368C5.45463 15.1208 5.9632 15 6.5 15H19V4H17V12L13.5 10L10 12V4Z"></path>
</svg>
),
route: '/home/knowledge',
description: t('knowledge.description'),
helpLink: {
@@ -81,12 +117,22 @@ export const sidebarConfigList = [
},
section: 'home',
}),
// ── Extensions section ──
new SidebarChildVO({
id: 'plugins',
name: t('sidebar.installedPlugins'),
icon: <Puzzle className="text-blue-500" />,
route: '/home/extensions',
icon: (
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 24 24"
fill="currentColor"
className="text-blue-500"
>
<path d="M7 5C7 2.79086 8.79086 1 11 1C13.2091 1 15 2.79086 15 5H18C18.5523 5 19 5.44772 19 6V9C21.2091 9 23 10.7909 23 13C23 15.2091 21.2091 17 19 17V20C19 20.5523 18.5523 21 18 21H4C3.44772 21 3 20.5523 3 20V6C3 5.44772 3.44772 5 4 5H7ZM11 3C9.89543 3 9 3.89543 9 5C9 5.23554 9.0403 5.45952 9.11355 5.66675C9.22172 5.97282 9.17461 6.31235 8.98718 6.57739C8.79974 6.84243 8.49532 7 8.17071 7H5V19H17V15.8293C17 15.5047 17.1576 15.2003 17.4226 15.0128C17.6877 14.8254 18.0272 14.7783 18.3332 14.8865C18.5405 14.9597 18.7645 15 19 15C20.1046 15 21 14.1046 21 13C21 11.8954 20.1046 11 19 11C18.7645 11 18.5405 11.0403 18.3332 11.1135C18.0272 11.2217 17.6877 11.1746 17.4226 10.9872C17.1576 10.7997 17 10.4953 17 10.1707V7H13.8293C13.5047 7 13.2003 6.84243 13.0128 6.57739C12.8254 6.31235 12.7783 5.97282 12.8865 5.66675C12.9597 5.45952 13 5.23555 13 5C13 3.89543 12.1046 3 11 3Z"></path>
</svg>
),
route: '/home/plugins',
description: t('plugins.description'),
helpLink: {
en_US: 'https://link.langbot.app/en/docs/plugins',
@@ -96,10 +142,19 @@ export const sidebarConfigList = [
section: 'extensions',
}),
new SidebarChildVO({
id: 'add-extension',
name: t('sidebar.addExtension'),
icon: <PlusCircle className="text-blue-500" />,
route: '/home/add-extension',
id: 'market',
name: t('sidebar.pluginMarket'),
icon: (
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 24 24"
fill="currentColor"
className="text-blue-500"
>
<path d="M21 13.242V20H22V22H2V20H3V13.242C1.79401 12.435 1 11.0602 1 9.5C1 8.67286 1.25027 7.90335 1.67755 7.2612L4.5547 2.36088C4.80513 1.93859 5.26028 1.67578 5.76 1.67578H18.24C18.7397 1.67578 19.1949 1.93859 19.4453 2.36088L22.3225 7.2612C22.7497 7.90335 23 8.67286 23 9.5C23 11.0602 22.206 12.435 21 13.242ZM19 13.972C18.4511 14.0706 17.8794 14.0706 17.3305 13.972C16.1644 13.7566 15.1377 13.0712 14.5 12.1C13.8623 13.0712 12.8356 13.7566 11.6695 13.972C11.1206 14.0706 10.5489 14.0706 10 13.972C9.45108 14.0706 8.87938 14.0706 8.33053 13.972C7.16437 13.7566 6.13771 13.0712 5.5 12.1C4.86229 13.0712 3.83563 13.7566 2.66947 13.972C2.44883 14.0124 2.22434 14.0352 2 14.0404V20H5V15H10V20H19V13.972Z"></path>
</svg>
),
route: '/home/market',
description: t('plugins.description'),
helpLink: {
en_US: 'https://link.langbot.app/en/docs/plugins',
@@ -108,4 +163,25 @@ export const sidebarConfigList = [
},
section: 'extensions',
}),
new SidebarChildVO({
id: 'mcp',
name: t('sidebar.mcpServers'),
icon: (
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 24 24"
fill="currentColor"
className="text-blue-500"
>
<path d="M4.5 7.65311V16.3469L12 20.689L19.5 16.3469V7.65311L12 3.311L4.5 7.65311ZM12 1L21.5 6.5V17.5L12 23L2.5 17.5V6.5L12 1ZM6.49896 9.97065L11 12.5765V17.625H13V12.5765L17.501 9.97066L16.499 8.2398L12 10.8445L7.50104 8.2398L6.49896 9.97065Z"></path>
</svg>
),
route: '/home/mcp',
description: t('mcp.title'),
helpLink: {
en_US: '',
zh_Hans: '',
},
section: 'extensions',
}),
];

View File

@@ -4,11 +4,16 @@ import {
DialogContent,
DialogHeader,
DialogTitle,
DialogFooter,
} from '@/components/ui/dialog';
import { Button } from '@/components/ui/button';
import { useTranslation } from 'react-i18next';
import { Loader2, RefreshCw, CheckCircle2, XCircle } from 'lucide-react';
import {
Loader2,
RefreshCw,
RotateCw,
CheckCircle2,
XCircle,
} from 'lucide-react';
import QRCode from 'qrcode';
export type QrLoginPlatform = 'feishu' | 'weixin' | 'dingtalk' | 'wecombot';
@@ -96,7 +101,7 @@ interface QrCodeLoginDialogProps {
onSuccess: (credentials: Record<string, string>) => void;
}
type DialogState = 'connecting' | 'waiting' | 'success' | 'error';
type DialogState = 'connecting' | 'waiting' | 'expired' | 'success' | 'error';
const POLL_INTERVAL_MS = 3000;
@@ -115,8 +120,10 @@ export default function QrCodeLoginDialog({
const [errorMessage, setErrorMessage] = useState('');
const pollTimerRef = useRef<ReturnType<typeof setInterval> | null>(null);
const countdownRef = useRef<ReturnType<typeof setInterval> | null>(null);
const checkExpiredRef = useRef<ReturnType<typeof setInterval> | null>(null);
const abortRef = useRef<AbortController | null>(null);
const sessionIdRef = useRef<string | null>(null);
const baseUrlRef = useRef('');
const cleanedRef = useRef(false);
const onSuccessRef = useRef(onSuccess);
@@ -140,11 +147,14 @@ export default function QrCodeLoginDialog({
clearInterval(countdownRef.current);
countdownRef.current = null;
}
if (checkExpiredRef.current) {
clearInterval(checkExpiredRef.current);
checkExpiredRef.current = null;
}
if (abortRef.current) {
abortRef.current.abort();
abortRef.current = null;
}
// Cancel backend session
if (sessionIdRef.current) {
const token = localStorage.getItem('token');
const baseUrl =
@@ -171,6 +181,7 @@ export default function QrCodeLoginDialog({
const token = localStorage.getItem('token');
const baseUrl = import.meta.env.VITE_API_BASE_URL || window.location.origin;
baseUrlRef.current = baseUrl;
const cfg = platformConfigRef.current;
try {
@@ -191,8 +202,6 @@ export default function QrCodeLoginDialog({
const { session_id, qr_data_url, qr_url, expire_at } = json.data;
sessionIdRef.current = session_id;
// qr_data_url is a pre-rendered data URL (WeChat);
// qr_url is a plain URL string (Feishu) that needs local QR generation.
if (qr_data_url) {
setQrDataUrl(qr_data_url);
} else if (qr_url) {
@@ -204,11 +213,9 @@ export default function QrCodeLoginDialog({
}
setState('waiting');
// Calculate remaining seconds
const remaining = Math.max(0, Math.floor(expire_at - Date.now() / 1000));
setExpireIn(remaining);
// Start countdown
countdownRef.current = setInterval(() => {
setExpireIn((prev) => {
if (prev <= 1) {
@@ -222,7 +229,35 @@ export default function QrCodeLoginDialog({
});
}, 1000);
// Start polling
// When countdown hits 0, stop polling and show expired state
checkExpiredRef.current = setInterval(() => {
setExpireIn((current) => {
if (current <= 0) {
if (checkExpiredRef.current) {
clearInterval(checkExpiredRef.current);
checkExpiredRef.current = null;
}
if (pollTimerRef.current) {
clearInterval(pollTimerRef.current);
pollTimerRef.current = null;
}
if (sessionIdRef.current) {
fetch(
`${baseUrlRef.current}${cfg.apiBase}/${sessionIdRef.current}`,
{
method: 'DELETE',
headers: { Authorization: `Bearer ${token}` },
keepalive: true,
},
).catch(() => {});
sessionIdRef.current = null;
}
setState('expired');
}
return current;
});
}, 500);
pollTimerRef.current = setInterval(async () => {
try {
const pollRes = await fetch(
@@ -237,7 +272,7 @@ export default function QrCodeLoginDialog({
const { status, error, ...rest } = pollJson.data;
if (status === 'success') {
sessionIdRef.current = null; // backend already cleaned up
sessionIdRef.current = null;
cleanup();
setState('success');
setTimeout(() => {
@@ -249,9 +284,14 @@ export default function QrCodeLoginDialog({
cleanup();
setState('error');
setErrorMessage(error || tRef.current(cfg.failedKey));
} else if (status === 'expired') {
sessionIdRef.current = null;
cleanup();
setExpireIn(0);
setState('expired');
}
} catch {
// ignore poll errors, will retry next interval
// ignore poll errors
}
}, POLL_INTERVAL_MS);
} catch (err: unknown) {
@@ -323,6 +363,31 @@ export default function QrCodeLoginDialog({
</div>
)}
{/* QR code expired — click overlay to refresh */}
{state === 'expired' && qrDataUrl && (
<div className="flex flex-col items-center space-y-3">
<p className="text-sm text-muted-foreground text-center">
{t(platformConfig.scanQRCodeKey)}
</p>
<button
type="button"
className="relative border rounded-lg p-2 bg-white cursor-pointer group"
onClick={() => startLogin()}
>
<img
src={qrDataUrl}
alt="QR Code"
className="w-56 h-56 opacity-40"
/>
<div className="absolute inset-0 flex items-center justify-center bg-white/60 rounded-lg group-hover:bg-white/70 transition-colors">
<div className="flex items-center justify-center w-16 h-16 rounded-full bg-black/5 group-hover:bg-black/10 transition-colors">
<RotateCw className="h-8 w-8 text-muted-foreground" />
</div>
</div>
</button>
</div>
)}
{/* Success */}
{state === 'success' && (
<div className="flex flex-col items-center space-y-3 py-8">
@@ -350,7 +415,7 @@ export default function QrCodeLoginDialog({
</div>
{state === 'error' && (
<DialogFooter>
<div className="flex justify-end gap-2">
<Button variant="outline" onClick={() => handleOpenChange(false)}>
{t('common.cancel')}
</Button>
@@ -358,7 +423,7 @@ export default function QrCodeLoginDialog({
<RefreshCw className="h-4 w-4 mr-1.5" />
{t(platformConfig.retryKey)}
</Button>
</DialogFooter>
</div>
)}
</DialogContent>
</Dialog>

View File

@@ -1,7 +1,6 @@
import { KnowledgeBaseVO } from '@/app/home/knowledge/components/kb-card/KBCardVO';
import { useTranslation } from 'react-i18next';
import styles from './KBCard.module.css';
import { Clock } from 'lucide-react';
export default function KBCard({ kbCardVO }: { kbCardVO: KnowledgeBaseVO }) {
const { t } = useTranslation();
@@ -28,7 +27,14 @@ export default function KBCard({ kbCardVO }: { kbCardVO: KnowledgeBaseVO }) {
</div>
<div className={`${styles.basicInfoLastUpdatedTimeContainer}`}>
<Clock className={`${styles.basicInfoUpdateTimeIcon}`} />
<svg
className={`${styles.basicInfoUpdateTimeIcon}`}
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 24 24"
fill="currentColor"
>
<path d="M12 22C6.47715 22 2 17.5228 2 12C2 6.47715 6.47715 2 12 2C17.5228 2 22 6.47715 22 12C22 17.5228 17.5228 22 12 22ZM12 20C16.4183 20 20 16.4183 20 12C20 7.58172 16.4183 4 12 4C7.58172 4 4 7.58172 4 12C4 16.4183 7.58172 20 12 20ZM13 12H17V14H11V7H13V12Z"></path>
</svg>
<div className={`${styles.basicInfoUpdateTimeText}`}>
{t('knowledge.updateTime')}
{kbCardVO.lastUpdatedTimeAgo}

View File

@@ -1,6 +1,5 @@
import React, { useCallback, useEffect, useState } from 'react';
import { Link } from 'react-router-dom';
import { CloudUpload } from 'lucide-react';
import { Card, CardContent } from '@/components/ui/card';
import {
Select,
@@ -222,7 +221,7 @@ export default function FileUploadZone({
{t('knowledge.documentsTab.noParserAvailable')}
</p>
<Link
to="/home/add-extension"
to="/home/market?category=Parser"
className="text-sm text-primary hover:underline mt-1 inline-block"
>
{t('knowledge.documentsTab.installParserHint')}
@@ -298,7 +297,19 @@ export default function FileUploadZone({
<label htmlFor="file-upload" className="cursor-pointer block">
<div className="space-y-2">
<div className="mx-auto w-10 h-10 bg-gray-100 rounded-full flex items-center justify-center">
<CloudUpload className="w-5 h-5 text-gray-400" />
<svg
className="w-5 h-5 text-gray-400"
fill="none"
stroke="currentColor"
viewBox="0 0 24 24"
>
<path
strokeLinecap="round"
strokeLinejoin="round"
strokeWidth={2}
d="M7 16a4 4 0 01-.88-7.903A5 5 0 1115.9 6L16 6a5 5 0 011 9.9M15 13l-3-3m0 0l-3 3m3-3v12"
/>
</svg>
</div>
<div>

View File

@@ -324,7 +324,7 @@ export default function KBForm({
{t('knowledge.noEnginesAvailable')}
</p>
<Link
to="/home/add-extension"
to="/home/market?category=KnowledgeEngine"
className="text-sm text-primary hover:underline"
>
{t('knowledge.installEngineHint')}

View File

@@ -45,10 +45,9 @@ import {
// Routes that belong to the "Extensions" section
const EXTENSIONS_ROUTES = [
'/home/extensions',
'/home/add-extension',
'/home/plugins',
'/home/market',
'/home/mcp',
'/home/skills',
'/home/plugin-pages',
];
@@ -58,17 +57,12 @@ function isExtensionsRoute(pathname: string): boolean {
);
}
const HOME_CONTENT_MAX_WIDTH = 'max-w-[1360px]';
const BACKEND_UNAVAILABLE_RETURN_TO_STORAGE_KEY =
'langbot_backend_unavailable_return_to';
export default function HomeLayout({
children,
}: Readonly<{
children: React.ReactNode;
}>) {
const navigate = useNavigate();
const location = useLocation();
// Initialize user info if not already initialized
useEffect(() => {
@@ -79,35 +73,19 @@ export default function HomeLayout({
// Auto-redirect to wizard on first visit (wizard not yet completed on this instance)
useEffect(() => {
let cancelled = false;
const checkWizard = async () => {
try {
// Always re-fetch to ensure we have the latest wizard_status from backend
await initializeSystemInfo({ throwOnError: true });
if (!cancelled && systemInfo.wizard_status === 'none') {
navigate('/wizard', { replace: true });
await initializeSystemInfo();
if (systemInfo.wizard_status === 'none') {
navigate('/wizard');
}
} catch {
if (!cancelled) {
const returnTo = `${location.pathname}${location.search}${location.hash}`;
sessionStorage.setItem(
BACKEND_UNAVAILABLE_RETURN_TO_STORAGE_KEY,
returnTo,
);
navigate('/backend-unavailable', {
replace: true,
state: { from: returnTo },
});
}
// If fetching system info fails, don't redirect
}
};
checkWizard();
return () => {
cancelled = true;
};
}, [location.hash, location.pathname, location.search, navigate]);
}, [navigate]);
return (
<SidebarDataProvider>
@@ -145,7 +123,7 @@ function HomeLayoutInner({ children }: { children: React.ReactNode }) {
const sectionLabel = isExtensions
? t('sidebar.extensions')
: t('sidebar.home');
const sectionLink = isExtensions ? '/home/extensions' : '/home/monitoring';
const sectionLink = isExtensions ? '/home/plugins' : '/home/monitoring';
return (
<SidebarProvider>
@@ -155,7 +133,7 @@ function HomeLayoutInner({ children }: { children: React.ReactNode }) {
<SidebarInset>
<header className="flex h-16 shrink-0 items-center gap-2 transition-[width,height] ease-linear group-has-data-[collapsible=icon]/sidebar-wrapper:h-12">
<div className="flex w-full items-center gap-2 px-4">
<div className="flex items-center gap-2 px-4">
<SidebarTrigger className="-ml-1" />
<Separator
orientation="vertical"
@@ -199,13 +177,9 @@ function HomeLayoutInner({ children }: { children: React.ReactNode }) {
</div>
</header>
<main className="flex-1 overflow-hidden min-w-0 px-4 pb-4 pt-0">
<div
className={`mx-auto h-full w-full min-w-0 ${HOME_CONTENT_MAX_WIDTH}`}
>
{mainContent}
</div>
</main>
<div className="flex-1 overflow-hidden p-4 pt-0 min-w-0">
{mainContent}
</div>
<SurveyWidget />
</SidebarInset>

View File

@@ -0,0 +1,202 @@
import MarketPage from '@/app/home/plugins/components/plugin-market/PluginMarketComponent';
import {
Dialog,
DialogContent,
DialogHeader,
DialogTitle,
DialogFooter,
} from '@/components/ui/dialog';
import { Button } from '@/components/ui/button';
import { Download } from 'lucide-react';
import React, { useState, useCallback, useEffect } from 'react';
import { httpClient } from '@/app/infra/http/HttpClient';
import { systemInfo } from '@/app/infra/http/HttpClient';
import { toast } from 'sonner';
import { useTranslation } from 'react-i18next';
import { PluginV4 } from '@/app/infra/entities/plugin';
import { useSidebarData } from '@/app/home/components/home-sidebar/SidebarDataContext';
import { usePluginInstallTasks } from '@/app/home/plugins/components/plugin-install-task';
enum PluginInstallStatus {
ASK_CONFIRM = 'ask_confirm',
INSTALLING = 'installing',
ERROR = 'error',
}
export default function MarketplacePage() {
const { t } = useTranslation();
if (!systemInfo?.enable_marketplace) {
return (
<div className="flex flex-col items-center justify-center h-[60vh] text-center">
<p className="text-muted-foreground">{t('plugins.marketplace')}</p>
</div>
);
}
return <MarketplaceContent />;
}
function MarketplaceContent() {
const { t } = useTranslation();
const { refreshPlugins } = useSidebarData();
const {
addTask,
setSelectedTaskId,
registerOnTaskComplete,
unregisterOnTaskComplete,
} = usePluginInstallTasks();
const [modalOpen, setModalOpen] = useState(false);
const [installInfo, setInstallInfo] = useState<Record<string, string>>({});
const [pluginInstallStatus, setPluginInstallStatus] =
useState<PluginInstallStatus>(PluginInstallStatus.ASK_CONFIRM);
const [installError, setInstallError] = useState<string | null>(null);
async function checkExtensionsLimit(): Promise<boolean> {
const maxExtensions = systemInfo.limitation?.max_extensions ?? -1;
if (maxExtensions < 0) return true;
try {
const [pluginsResp, mcpResp] = await Promise.all([
httpClient.getPlugins(),
httpClient.getMCPServers(),
]);
const total =
(pluginsResp.plugins?.length ?? 0) + (mcpResp.servers?.length ?? 0);
if (total >= maxExtensions) {
toast.error(
t('limitation.maxExtensionsReached', { max: maxExtensions }),
);
return false;
}
} catch {
// If we can't check, let backend handle it
}
return true;
}
// Register task completion callback for toast and plugin list refresh
useEffect(() => {
const onComplete = (_taskId: number, success: boolean, error?: string) => {
if (success) {
toast.success(t('plugins.installSuccess'));
refreshPlugins();
} else {
toast.error(error || t('plugins.installFailed'));
}
};
registerOnTaskComplete(onComplete);
return () => {
unregisterOnTaskComplete(onComplete);
};
}, [registerOnTaskComplete, unregisterOnTaskComplete, refreshPlugins, t]);
const handleInstallPlugin = useCallback(
async (plugin: PluginV4) => {
if (!(await checkExtensionsLimit())) return;
setInstallInfo({
plugin_author: plugin.author,
plugin_name: plugin.name,
plugin_version: plugin.latest_version,
});
setPluginInstallStatus(PluginInstallStatus.ASK_CONFIRM);
setInstallError(null);
setModalOpen(true);
},
[t],
);
function handleModalConfirm() {
setPluginInstallStatus(PluginInstallStatus.INSTALLING);
const pluginDisplayName = `${installInfo.plugin_author}/${installInfo.plugin_name}`;
httpClient
.installPluginFromMarketplace(
installInfo.plugin_author,
installInfo.plugin_name,
installInfo.plugin_version,
)
.then((resp) => {
const taskId = resp.task_id;
const taskKey = `marketplace-${taskId}`;
addTask({
taskId,
pluginName: pluginDisplayName,
source: 'marketplace',
});
setSelectedTaskId(taskKey);
setModalOpen(false);
})
.catch((err) => {
setInstallError(err.msg);
setPluginInstallStatus(PluginInstallStatus.ERROR);
});
}
return (
<>
<div className="h-full overflow-y-auto">
<MarketPage installPlugin={handleInstallPlugin} />
</div>
<Dialog
open={modalOpen}
onOpenChange={(open) => {
setModalOpen(open);
if (!open) {
setInstallError(null);
}
}}
>
<DialogContent className="w-[500px] max-h-[80vh] p-6 bg-white dark:bg-[#1a1a1e] overflow-y-auto">
<DialogHeader>
<DialogTitle className="flex items-center gap-4">
<Download className="size-6" />
<span>{t('plugins.installPlugin')}</span>
</DialogTitle>
</DialogHeader>
{pluginInstallStatus === PluginInstallStatus.ASK_CONFIRM && (
<div className="mt-4">
<p className="mb-2">
{t('plugins.askConfirm', {
name: installInfo.plugin_name,
version: installInfo.plugin_version,
})}
</p>
</div>
)}
{pluginInstallStatus === PluginInstallStatus.INSTALLING && (
<div className="mt-4">
<p className="mb-2">{t('plugins.installing')}</p>
</div>
)}
{pluginInstallStatus === PluginInstallStatus.ERROR && (
<div className="mt-4">
<p className="mb-2">{t('plugins.installFailed')}</p>
<p className="mb-2 text-red-500">{installError}</p>
</div>
)}
<DialogFooter>
{pluginInstallStatus === PluginInstallStatus.ASK_CONFIRM && (
<>
<Button variant="outline" onClick={() => setModalOpen(false)}>
{t('common.cancel')}
</Button>
<Button onClick={handleModalConfirm}>
{t('common.confirm')}
</Button>
</>
)}
{pluginInstallStatus === PluginInstallStatus.ERROR && (
<Button variant="default" onClick={() => setModalOpen(false)}>
{t('common.close')}
</Button>
)}
</DialogFooter>
</DialogContent>
</Dialog>
</>
);
}

View File

@@ -3,7 +3,6 @@ import { useNavigate } from 'react-router-dom';
import { Button } from '@/components/ui/button';
import { Switch } from '@/components/ui/switch';
import { Label } from '@/components/ui/label';
import { Badge } from '@/components/ui/badge';
import {
Card,
CardContent,
@@ -24,43 +23,31 @@ import type { MCPFormHandle } from '@/app/home/mcp/components/mcp-form/MCPForm';
import { httpClient, systemInfo } from '@/app/infra/http/HttpClient';
import { useSidebarData } from '@/app/home/components/home-sidebar/SidebarDataContext';
import { useTranslation } from 'react-i18next';
import { Server, Trash2 } from 'lucide-react';
import { Trash2 } from 'lucide-react';
import { toast } from 'sonner';
type MCPRuntimeState = 'connected' | 'connecting' | 'error';
type MCPConnectionState =
| 'connected'
| 'connecting'
| 'error'
| 'disabled'
| 'disconnected';
export default function MCPDetailContent({ id }: { id: string }) {
const isCreateMode = id === 'new';
const navigate = useNavigate();
const { t } = useTranslation();
const { refreshMCPServers, mcpServers, setDetailEntityName } =
useSidebarData();
const server = mcpServers.find((s) => s.id === id);
const displayName = (server?.name ?? id).replace(/__/g, '/');
// Set breadcrumb entity name
useEffect(() => {
if (isCreateMode) {
setDetailEntityName(t('mcp.createServer'));
} else {
setDetailEntityName(displayName);
const server = mcpServers.find((s) => s.id === id);
setDetailEntityName(server?.name ?? id);
}
return () => setDetailEntityName(null);
}, [displayName, isCreateMode, setDetailEntityName, t]);
}, [id, isCreateMode, mcpServers, setDetailEntityName, t]);
const [showDeleteConfirm, setShowDeleteConfirm] = useState(false);
// Track whether the form has unsaved changes
const [formDirty, setFormDirty] = useState(false);
// True when the form picked stdio mode but Box is disabled/unreachable —
// saving would create a server that can never start, so block it.
const [saveBlockedByBox, setSaveBlockedByBox] = useState(false);
// Ref to MCPForm for triggering test from header
const formRef = useRef<MCPFormHandle>(null);
@@ -69,55 +56,13 @@ export default function MCPDetailContent({ id }: { id: string }) {
// Enable state managed here so the header switch works
const [serverEnabled, setServerEnabled] = useState(true);
const [enableLoaded, setEnableLoaded] = useState(false);
const [detailRuntimeStatus, setDetailRuntimeStatus] =
useState<MCPRuntimeState | null>(null);
const runtimeStatus = detailRuntimeStatus ?? server?.runtimeStatus;
const currentConnectionState: MCPConnectionState =
(enableLoaded ? serverEnabled : server?.enabled) === false
? 'disabled'
: runtimeStatus === 'connected' ||
runtimeStatus === 'connecting' ||
runtimeStatus === 'error'
? runtimeStatus
: 'disconnected';
const connectionStatusLabel: Record<MCPConnectionState, string> = {
connected: t('mcp.statusConnected'),
connecting: t('mcp.connecting'),
error: t('mcp.statusError'),
disabled: t('mcp.statusDisabled'),
disconnected: t('mcp.statusDisconnected'),
};
const connectionStatusClassName: Record<MCPConnectionState, string> = {
connected:
'border-green-200 bg-green-50 text-green-700 dark:border-green-900/70 dark:bg-green-950/40 dark:text-green-300',
connecting:
'border-amber-200 bg-amber-50 text-amber-700 dark:border-amber-900/70 dark:bg-amber-950/40 dark:text-amber-300',
error:
'border-red-200 bg-red-50 text-red-700 dark:border-red-900/70 dark:bg-red-950/40 dark:text-red-300',
disabled: 'border-muted-foreground/20 bg-muted text-muted-foreground',
disconnected: 'border-muted-foreground/20 bg-muted text-muted-foreground',
};
const connectionDotClassName: Record<MCPConnectionState, string> = {
connected: 'bg-green-500',
connecting: 'bg-amber-500',
error: 'bg-red-500',
disabled: 'bg-muted-foreground/50',
disconnected: 'bg-muted-foreground/50',
};
// Fetch server enable state
useEffect(() => {
if (!isCreateMode) {
setDetailRuntimeStatus(null);
httpClient.getMCPServer(id).then((res) => {
const server = res.server ?? res;
setServerEnabled(server.enable ?? true);
setDetailRuntimeStatus(server.runtime_info?.status ?? null);
setEnableLoaded(true);
});
}
@@ -197,24 +142,10 @@ export default function MCPDetailContent({ id }: { id: string }) {
if (isCreateMode) {
return (
<div className="flex h-full flex-col">
<div className="flex shrink-0 flex-col gap-3 pb-4 sm:flex-row sm:items-start sm:justify-between">
<div className="flex min-w-0 items-center gap-3">
<h1 className="truncate text-xl font-semibold">
{t('mcp.createServer')}
</h1>
<Badge variant="outline" className="shrink-0 text-[0.7rem]">
<Server className="size-3.5" />
{t('mcp.title')}
</Badge>
</div>
<div className="flex flex-wrap gap-2">
<Button
type="button"
variant="outline"
onClick={() => navigate('/home/add-extension')}
>
{t('common.cancel')}
</Button>
{/* Header */}
<div className="flex items-center justify-between pb-4 shrink-0">
<h1 className="text-xl font-semibold">{t('mcp.createServer')}</h1>
<div className="flex items-center gap-2">
<Button
type="button"
variant="outline"
@@ -226,7 +157,6 @@ export default function MCPDetailContent({ id }: { id: string }) {
<Button
type="submit"
form="mcp-form"
disabled={saveBlockedByBox}
onClick={async (e) => {
if (!(await checkExtensionsLimit())) {
e.preventDefault();
@@ -238,99 +168,47 @@ export default function MCPDetailContent({ id }: { id: string }) {
</div>
</div>
<div className="min-h-0 flex-1">
<MCPForm
ref={formRef}
initServerName={undefined}
layout="split"
onFormSubmit={handleFormSubmit}
onNewServerCreated={handleNewServerCreated}
onTestingChange={setMcpTesting}
onSaveBlockedChange={setSaveBlockedByBox}
/>
{/* Content */}
<div className="flex-1 overflow-y-auto min-h-0">
<div className="mx-auto max-w-3xl pb-8">
<MCPForm
ref={formRef}
initServerName={undefined}
onFormSubmit={handleFormSubmit}
onNewServerCreated={handleNewServerCreated}
onTestingChange={setMcpTesting}
/>
</div>
</div>
</div>
);
}
const enableControl = enableLoaded && (
<Card>
<CardHeader>
<CardTitle>{t('common.enable')}</CardTitle>
</CardHeader>
<CardContent>
<div className="flex items-center justify-between">
<Label
htmlFor="mcp-enable-switch"
className="cursor-pointer text-sm font-medium"
>
{t('common.enable')}
</Label>
<Switch
id="mcp-enable-switch"
checked={serverEnabled}
onCheckedChange={handleEnableToggle}
/>
</div>
</CardContent>
</Card>
);
const editActions = (
<Card className="border-destructive/50">
<CardHeader>
<CardTitle className="text-destructive">
{t('mcp.dangerZone')}
</CardTitle>
<CardDescription>{t('mcp.dangerZoneDescription')}</CardDescription>
</CardHeader>
<CardContent>
<div className="flex flex-col gap-3 sm:flex-row sm:items-center sm:justify-between">
<div className="space-y-1">
<p className="text-sm font-medium">{t('mcp.deleteMCPAction')}</p>
<p className="text-sm text-muted-foreground">
{t('mcp.deleteMCPHint')}
</p>
</div>
<Button
type="button"
variant="destructive"
size="sm"
onClick={() => setShowDeleteConfirm(true)}
className="shrink-0"
>
<Trash2 className="mr-1.5 size-4" />
{t('common.delete')}
</Button>
</div>
</CardContent>
</Card>
);
// ==================== Edit Mode ====================
return (
<>
<div className="flex h-full flex-col">
<div className="flex shrink-0 flex-col gap-3 pb-4 sm:flex-row sm:items-start sm:justify-between">
<div className="min-w-0 space-y-1">
<div className="flex min-w-0 items-center gap-3">
<h1 className="truncate text-xl font-semibold">{displayName}</h1>
<Badge variant="outline" className="shrink-0 text-[0.7rem]">
<Server className="size-3.5" />
{t('mcp.title')}
</Badge>
<Badge
variant="outline"
className={`shrink-0 gap-1.5 text-[0.7rem] ${connectionStatusClassName[currentConnectionState]}`}
>
<span
className={`size-1.5 rounded-full ${connectionDotClassName[currentConnectionState]}`}
{/* Header: title + enable switch + save button */}
<div className="flex items-center justify-between pb-4 shrink-0">
<div className="flex items-center gap-4">
<h1 className="text-xl font-semibold">{t('mcp.editServer')}</h1>
{enableLoaded && (
<div className="flex items-center gap-2">
<Switch
id="mcp-enable-switch"
checked={serverEnabled}
onCheckedChange={handleEnableToggle}
/>
{connectionStatusLabel[currentConnectionState]}
</Badge>
</div>
<Label
htmlFor="mcp-enable-switch"
className="text-sm text-muted-foreground cursor-pointer"
>
{t('common.enable')}
</Label>
</div>
)}
</div>
<div className="flex flex-wrap gap-2">
<div className="flex items-center gap-2">
<Button
type="button"
variant="outline"
@@ -339,32 +217,57 @@ export default function MCPDetailContent({ id }: { id: string }) {
>
{t('common.test')}
</Button>
<Button
type="submit"
form="mcp-form"
disabled={!formDirty || saveBlockedByBox}
>
<Button type="submit" form="mcp-form" disabled={!formDirty}>
{t('common.save')}
</Button>
</div>
</div>
<div className="min-h-0 flex-1">
<MCPForm
ref={formRef}
initServerName={id}
layout="split"
sideHeader={enableControl}
sideFooter={editActions}
onFormSubmit={handleFormSubmit}
onNewServerCreated={handleNewServerCreated}
onDirtyChange={setFormDirty}
onTestingChange={setMcpTesting}
onSaveBlockedChange={setSaveBlockedByBox}
onRuntimeInfoChange={(runtimeInfo) =>
setDetailRuntimeStatus(runtimeInfo?.status ?? null)
}
/>
{/* Content */}
<div className="flex-1 overflow-y-auto min-h-0">
<div className="mx-auto max-w-3xl space-y-6 pb-8">
<MCPForm
ref={formRef}
initServerName={id}
onFormSubmit={handleFormSubmit}
onNewServerCreated={handleNewServerCreated}
onDirtyChange={setFormDirty}
onTestingChange={setMcpTesting}
/>
{/* Card: Danger Zone */}
<Card className="border-destructive/50">
<CardHeader>
<CardTitle className="text-destructive">
{t('mcp.dangerZone')}
</CardTitle>
<CardDescription>
{t('mcp.dangerZoneDescription')}
</CardDescription>
</CardHeader>
<CardContent>
<div className="flex items-center justify-between">
<div className="space-y-1">
<p className="text-sm font-medium">
{t('mcp.deleteMCPAction')}
</p>
<p className="text-sm text-muted-foreground">
{t('mcp.deleteMCPHint')}
</p>
</div>
<Button
type="button"
variant="destructive"
size="sm"
onClick={() => setShowDeleteConfirm(true)}
>
<Trash2 className="size-4 mr-1.5" />
{t('common.delete')}
</Button>
</div>
</CardContent>
</Card>
</div>
</div>
</div>

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View File

@@ -6,8 +6,6 @@ import {
TrendingUp,
TrendingDown,
Minus,
Heart,
Smile,
} from 'lucide-react';
interface FeedbackCardProps {
@@ -135,7 +133,11 @@ export function FeedbackStatsCards({ stats, loading }: FeedbackStatsProps) {
{
title: t('monitoring.feedback.totalFeedback'),
value: stats?.totalFeedback ?? 0,
icon: <Heart className="w-6 h-6" />,
icon: (
<svg className="w-6 h-6" viewBox="0 0 24 24" fill="currentColor">
<path d="M12 21.35l-1.45-1.32C5.4 15.36 2 12.28 2 8.5 2 5.42 4.42 3 7.5 3c1.74 0 3.41.81 4.5 2.09C13.09 3.81 14.76 3 16.5 3 19.58 3 22 5.42 22 8.5c0 3.78-3.4 6.86-8.55 11.54L12 21.35z" />
</svg>
),
variant: 'default' as const,
},
{
@@ -153,7 +155,11 @@ export function FeedbackStatsCards({ stats, loading }: FeedbackStatsProps) {
{
title: t('monitoring.feedback.satisfactionRate'),
value: stats ? `${stats.satisfactionRate}%` : '0%',
icon: <Smile className="w-6 h-6" />,
icon: (
<svg className="w-6 h-6" viewBox="0 0 24 24" fill="currentColor">
<path d="M11.99 2C6.47 2 2 6.48 2 12s4.47 10 9.99 10C17.52 22 22 17.52 22 12S17.52 2 11.99 2zM12 20c-4.42 0-8-3.58-8-8s3.58-8 8-8 8 3.58 8 8-3.58 8-8 8zm3.5-9c.83 0 1.5-.67 1.5-1.5S16.33 8 15.5 8 14 8.67 14 9.5s.67 1.5 1.5 1.5zm-7 0c.83 0 1.5-.67 1.5-1.5S9.33 8 8.5 8 7 8.67 7 9.5 7.67 11 8.5 11zm3.5 6.5c2.33 0 4.31-1.46 5.11-3.5H6.89c.8 2.04 2.78 3.5 5.11 3.5z" />
</svg>
),
variant: (stats && stats.satisfactionRate >= 80
? 'success'
: stats && stats.satisfactionRate >= 50

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