fix(api): guard /set-password with allow_modify_login_info (#2288)

The /change-password and /bind-space endpoints already refuse when
system.allow_modify_login_info is false, but /set-password did not,
leaving a path to alter login credentials on locked-down deployments
(e.g. public demo instances). Apply the same guard.

Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>

.gitignore

@@ -48,6 +48,7 @@ coverage.xml
 .coverage
 src/langbot/web/
 testsdk/
+.qa/
 
 # Build artifacts
 /dist

AGENTS.md

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

ARCHITECTURE.md

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

Dockerfile

@@ -52,6 +52,15 @@ RUN apt-get update \
     && echo "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/debian $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable" > /etc/apt/sources.list.d/docker.list \
     && apt-get update \
     && apt-get install -y --no-install-recommends docker-ce-cli \
+    # Install Node.js LTS so the sandbox (nsjail/Docker box) can run npx-based
+    # stdio MCP servers. node/npx land in /usr/bin, which is on the nsjail
+    # read-only mount whitelist (_READONLY_SYSTEM_MOUNTS), so they are bound
+    # into the sandbox chroot automatically. Without node, any npx-launched
+    # MCP server exits with return_code=127 (command not found).
+    && curl -fsSL https://deb.nodesource.com/setup_22.x -o /tmp/nodesource_setup.sh \
+    && bash /tmp/nodesource_setup.sh \
+    && apt-get install -y --no-install-recommends nodejs \
+    && rm -f /tmp/nodesource_setup.sh \
     && python -m pip install --no-cache-dir uv \
     && uv sync \
     && apt-get purge -y --auto-remove curl gnupg \

README.md

@@ -55,6 +55,12 @@ LangBot is an **open-source, production-grade platform** for building AI-powered
 
 ---
 
+## 😎 Stay Updated
+
+Click the Star and Watch buttons in the top-right corner of the repository to get the latest updates.
+
+![star gif](https://langbot.app/star.gif)
+
 ## Quick Start
 
 ### ☁️ LangBot Cloud (Recommended)
@@ -74,7 +80,7 @@ uvx langbot
 ```bash
 git clone https://github.com/langbot-app/LangBot
 cd LangBot/docker
-docker compose up -d
+docker compose --profile all up -d
 ```
 
 ### One-Click Cloud Deploy

README_CN.md

@@ -55,6 +55,12 @@ LangBot 是一个**开源的生产级平台**，用于构建 AI 驱动的即时
 
 ---
 
+## 😎 保持更新
+
+点击[仓库首页](https://github.com/langbot-app/LangBot)右上角 Star 和 Watch 按钮，获取最新动态。
+
+![star gif](https://langbot.app/star.gif)
+
 ## 快速开始
 
 ### ☁️ LangBot Cloud（推荐）
@@ -74,7 +80,7 @@ uvx langbot
 ```bash
 git clone https://github.com/langbot-app/LangBot
 cd LangBot/docker
-docker compose up -d
+docker compose --profile all up -d
 ```
 
 ### 一键云部署

README_ES.md

@@ -54,6 +54,12 @@ LangBot es una **plataforma de código abierto y grado de producción** para con
 
 ---
 
+## 😎 Manténgase Actualizado
+
+Haga clic en los botones Star y Watch en la esquina superior derecha del repositorio para obtener las últimas actualizaciones.
+
+![star gif](https://langbot.app/star.gif)
+
 ## Inicio Rápido
 
 ### ☁️ LangBot Cloud (Recomendado)
@@ -73,7 +79,7 @@ uvx langbot
 ```bash
 git clone https://github.com/langbot-app/LangBot
 cd LangBot/docker
-docker compose up -d
+docker compose --profile all up -d
 ```
 
 ### Despliegue en la Nube con un Clic

README_FR.md

@@ -54,6 +54,12 @@ LangBot est une **plateforme open-source de niveau production** pour créer des
 
 ---
 
+## 😎 Restez à Jour
+
+Cliquez sur les boutons Star et Watch dans le coin supérieur droit du dépôt pour obtenir les dernières mises à jour.
+
+![star gif](https://langbot.app/star.gif)
+
 ## Démarrage Rapide
 
 ### ☁️ LangBot Cloud (Recommandé)
@@ -73,7 +79,7 @@ uvx langbot
 ```bash
 git clone https://github.com/langbot-app/LangBot
 cd LangBot/docker
-docker compose up -d
+docker compose --profile all up -d
 ```
 
 ### Déploiement Cloud en un Clic

README_JP.md

@@ -54,6 +54,12 @@ LangBot は、AI搭載のインスタントメッセージングボットを構
 
 ---
 
+## 😎 最新情報を入手
+
+リポジトリの右上にある Star と Watch ボタンをクリックして、最新の更新を取得してください。
+
+![star gif](https://langbot.app/star.gif)
+
 ## クイックスタート
 
 ### ☁️ LangBot Cloud（推奨）
@@ -73,7 +79,7 @@ uvx langbot
 ```bash
 git clone https://github.com/langbot-app/LangBot
 cd LangBot/docker
-docker compose up -d
+docker compose --profile all up -d
 ```
 
 ### ワンクリッククラウドデプロイ

README_KO.md

@@ -54,6 +54,12 @@ LangBot은 AI 기반 인스턴트 메시징 봇을 구축하기 위한 **오픈
 
 ---
 
+## 😎 최신 정보 받기
+
+리포지토리 오른쪽 상단의 Star 및 Watch 버튼을 클릭하여 최신 업데이트를 받으세요.
+
+![star gif](https://langbot.app/star.gif)
+
 ## 빠른 시작
 
 ### ☁️ LangBot Cloud (추천)
@@ -73,7 +79,7 @@ uvx langbot
 ```bash
 git clone https://github.com/langbot-app/LangBot
 cd LangBot/docker
-docker compose up -d
+docker compose --profile all up -d
 ```
 
 ### 원클릭 클라우드 배포

README_RU.md

@@ -54,6 +54,12 @@ LangBot — это **платформа с открытым исходным к
 
 ---
 
+## 😎 Оставайтесь в курсе
+
+Нажмите кнопки Star и Watch в правом верхнем углу репозитория, чтобы получать последние обновления.
+
+![star gif](https://langbot.app/star.gif)
+
 ## Быстрый старт
 
 ### ☁️ LangBot Cloud (Рекомендуется)
@@ -73,7 +79,7 @@ uvx langbot
 ```bash
 git clone https://github.com/langbot-app/LangBot
 cd LangBot/docker
-docker compose up -d
+docker compose --profile all up -d
 ```
 
 ### Облачное развертывание одним кликом

README_TW.md

@@ -56,6 +56,12 @@ LangBot 是一個**開源的生產級平台**，用於建構 AI 驅動的即時
 
 ---
 
+## 😎 保持更新
+
+點擊倉庫右上角 Star 和 Watch 按鈕，獲取最新動態。
+
+![star gif](https://langbot.app/star.gif)
+
 ## 快速開始
 
 ### ☁️ LangBot Cloud（推薦）
@@ -75,7 +81,7 @@ uvx langbot
 ```bash
 git clone https://github.com/langbot-app/LangBot
 cd LangBot/docker
-docker compose up -d
+docker compose --profile all up -d
 ```
 
 ### 一鍵雲端部署

README_VI.md

@@ -54,6 +54,12 @@ LangBot là một **nền tảng mã nguồn mở, cấp sản xuất** để x
 
 ---
 
+## 😎 Cập nhật Mới nhất
+
+Nhấp vào các nút Star và Watch ở góc trên bên phải của kho lưu trữ để nhận các bản cập nhật mới nhất.
+
+![star gif](https://langbot.app/star.gif)
+
 ## Bắt đầu nhanh
 
 ### ☁️ LangBot Cloud (Khuyên dùng)
@@ -73,7 +79,7 @@ uvx langbot
 ```bash
 git clone https://github.com/langbot-app/LangBot
 cd LangBot/docker
-docker compose up -d
+docker compose --profile all up -d
 ```
 
 ### Triển khai đám mây một cú nhấp

docker/docker-compose.yaml

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

docs/HTTP_BOT_ADAPTER_DESIGN.md

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

docs/http-bot-openapi.json

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

docs/platforms/http-bot.md

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

examples/http-bot/README.md

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

examples/http-bot/README.zh.md

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

examples/http-bot/client.py

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

examples/http-bot/client.ts

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

examples/http-bot/playground.py

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

examples/web-page-bot/README.md

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

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

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

examples/web-page-bot/index.html

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

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "langbot"
-version = "4.10.2"
+version = "4.10.4"
 description = "Production-grade platform for building agentic IM bots"
 readme = "README.md"
 license-files = ["LICENSE"]
@@ -8,7 +8,7 @@ requires-python = ">=3.11,<4.0"
 dependencies = [
     "aiocqhttp>=1.4.4",
     "aiofiles>=24.1.0",
-    "aiohttp>=3.14.0",
+    "aiohttp>=3.14.1",
     "aioshutil>=1.5",
     "aiosqlite>=0.21.0",
     "anthropic>=0.51.0",
@@ -16,7 +16,7 @@ dependencies = [
     "async-lru>=2.0.5",
     "certifi>=2025.4.26",
     "colorlog~=6.6.0",
-    "cryptography>=46.0.7",
+    "cryptography>=48.0.1",
     "dashscope>=1.25.10",
     "dingtalk-stream>=0.24.0",
     "discord-py>=2.5.2",
@@ -61,16 +61,16 @@ dependencies = [
     "beautifulsoup4>=4.12.3",
     "ebooklib>=0.18",
     "html2text>=2024.2.26",
-    "langchain>=0.2.0",
+    "langchain>=1.3.9",
     "langchain-core>=1.3.3",
-    "langsmith>=0.8.0",
+    "langsmith>=0.8.18",
     "python-multipart>=0.0.27",
     "Mako>=1.3.12",
     "langchain-text-splitters>=1.1.2",
     "chromadb>=1.0.0,<2.0.0",
     "qdrant-client (>=1.15.1,<2.0.0)",
     "pyseekdb==1.1.0.post3",
-    "langbot-plugin==0.4.5",
+    "langbot-plugin==0.4.6",
     "asyncpg>=0.30.0",
     "line-bot-sdk>=3.19.0",
     "matrix-nio>=0.25.2",

skills/README.md

@@ -26,7 +26,7 @@ and LangBot's own Local Agent) working with the LangBot ecosystem.
 
 ## Quick start (for an AI agent)
 
-1. Read this README, `AGENTS.md`, and `qa-agent-docs/` to understand the layout.
+1. Read this README, `AGENTS.md`, and `docs/user-guide.md` to understand the layout.
 2. Read `skills/.env` for shared local defaults. On a new machine, copy
    `skills/.env.example` to `skills/.env.local` (gitignored) and override
    machine-specific values there. Never commit secrets.
@@ -48,6 +48,7 @@ bin/lbs env show     # inspect resolved env defaults (redacted)
 bin/lbs env doctor   # diagnose local environment readiness
 bin/lbs case list --ready
 bin/lbs test plan <case-id>
+bin/lbs suite plan langbot-debug-chat-load-gate
 ```
 
 ## Maintenance rule

skills/docs/user-guide.md

@@ -0,0 +1,171 @@
+# LangBot QA Skills User Guide
+
+Use this guide as the first operational path after reading `README.md` and
+`AGENTS.md`.
+
+## 1. Configure Local Inputs
+
+Read `skills/.env`, then create `skills/.env.local` for machine-local values.
+Do not commit `.env.local`, browser profiles, reports, tokens, API keys, OAuth
+state, or provider credentials.
+
+Minimum local fields for live browser QA:
+
+```bash
+LANGBOT_REPO=/path/to/LangBot
+LANGBOT_WEB_REPO=/path/to/LangBot/web
+LANGBOT_BACKEND_URL=http://127.0.0.1:5300
+LANGBOT_FRONTEND_URL=http://127.0.0.1:3000
+LANGBOT_DEV_FRONTEND_URL=http://127.0.0.1:3000
+LANGBOT_BROWSER_PROFILE=/path/to/langbot-browser-profile
+LANGBOT_CHROMIUM_EXECUTABLE=/path/to/chromium-or-playwright-chrome
+LANGBOT_E2E_LOGIN_USER=qa-local@example.com
+```
+
+`LANGBOT_E2E_LOGIN_USER` is a local QA account. The setup automation uses the
+LangBot recovery key from the active checkout to initialize or refresh that
+local account and write a browser `localStorage` token. It does not need the
+user's GitHub or Space credentials.
+
+## 2. Check Readiness
+
+From `skills/`:
+
+```bash
+bin/lbs env show
+bin/lbs env doctor
+bin/lbs validate
+bin/lbs index --check
+```
+
+`env doctor` should report reachable backend and frontend URLs before live
+browser cases are run. Missing Space provider credentials are not a LangBot
+product pass; classify them as `env_issue` and configure the local Space
+provider before measuring Debug Chat performance.
+
+## 3. Start Services
+
+Start the backend from `LANGBOT_REPO`:
+
+```bash
+cd "$LANGBOT_REPO"
+uv run main.py
+```
+
+Start the standalone frontend from `LANGBOT_WEB_REPO` and point it at the
+backend:
+
+```bash
+cd "$LANGBOT_WEB_REPO"
+VITE_API_BASE_URL="$LANGBOT_BACKEND_URL" pnpm dev --host 0.0.0.0
+```
+
+If `VITE_API_BASE_URL` is missing, browser tests can load the Vite page but send
+API requests to the frontend port, which produces false UI failures.
+
+## 4. Prepare User-Path Fixtures
+
+For local-agent Debug Chat cases and the user-path performance gate:
+
+```bash
+node scripts/e2e/ensure-local-agent-pipeline.mjs --write-env
+```
+
+The script:
+
+- refreshes the local QA login and browser token;
+- marks the local wizard as skipped;
+- creates or updates a local QA pipeline;
+- scans Space LLM models, tests candidates, and switches to the first working
+  Space model with tested fallback models;
+- writes `LANGBOT_PIPELINE_URL`, `LANGBOT_PIPELINE_NAME`, and local-agent
+  pipeline/model variables into `skills/.env.local`;
+- returns `env_issue` when no Space model can be scanned or tested.
+
+Useful model controls:
+
+```bash
+LANGBOT_E2E_MODEL_TEST_LIMIT=8
+LANGBOT_E2E_MODEL_FALLBACK_COUNT=3
+LANGBOT_E2E_SKIP_MODEL_UUIDS=uuid-a,uuid-b
+LANGBOT_E2E_SKIP_MODEL_NAMES=model-a,model-b
+LANGBOT_E2E_SCAN_SPACE_MODELS=true
+```
+
+The setup writes a current-runtime compatibility `max-round` value into the
+pipeline config because this backend still reads that field directly during
+message truncation. Do not treat it as a long-term QA contract.
+
+## 5. Run Gates
+
+Fast contract gate, no live service required:
+
+```bash
+bin/lbs suite run langbot-performance-contract-gate --run-id langbot-contract-local
+```
+
+Live backend gate:
+
+```bash
+bin/lbs suite run langbot-live-backend-gate --run-id langbot-backend-local
+```
+
+Browser-visible user-path performance gate:
+
+```bash
+bin/lbs suite plan langbot-user-path-performance-gate
+bin/lbs suite run langbot-user-path-performance-gate --run-id langbot-user-path-local --include-manual-check
+```
+
+Controlled Debug Chat message-path load gate (manual/non-required; run fake-provider cases serially when they share `LANGBOT_FAKE_PROVIDER_URL`):
+
+```bash
+bin/lbs suite plan langbot-debug-chat-load-gate
+bin/lbs test run langbot-fake-provider-debug-chat-load --run-id langbot-fake-load-local
+bin/lbs test run langbot-fake-provider-debug-chat-slow-load --run-id langbot-fake-slow-local
+bin/lbs test run langbot-fake-provider-debug-chat-fault-recovery --run-id langbot-fake-fault-local
+bin/lbs test run langbot-space-debug-chat-concurrency-smoke --run-id langbot-space-smoke-local
+```
+
+Cross-pipeline Debug Chat isolation is a separate manual regression gate because
+current releases may fail it due to product bug #2286:
+
+```bash
+bin/lbs suite plan langbot-debug-chat-isolation-gate
+bin/lbs suite run langbot-debug-chat-isolation-gate --run-id langbot-debug-chat-isolation-local --include-manual-check
+```
+
+Start with `langbot-fake-provider-debug-chat-load`. It launches a local
+OpenAI-compatible fake provider, creates the matching provider/model/pipeline,
+then sends concurrent WebSocket Debug Chat messages through the real backend.
+Use `langbot-fake-provider-debug-chat-slow-load` to measure the same path under
+deterministic streaming latency. Use
+`langbot-fake-provider-debug-chat-fault-recovery` to inject bounded provider
+HTTP failures and confirm later Debug Chat requests recover. Use the separate
+`langbot-debug-chat-isolation-gate` to verify that concurrent Debug Chat traffic
+on two pipelines does not leak assistant responses across pipeline boundaries;
+current releases may fail that gate because of #2286, so keep it out of the
+normal load gate until the product fix lands.
+Use `langbot-space-debug-chat-concurrency-smoke` only as a low-volume live
+provider smoke; it includes Space/model/network latency and should be compared
+against the fake-provider baseline before attributing failures to LangBot.
+
+`manual_check` means the agent must confirm the declared preconditions for that
+run window. When setup automation is declared, run output may stop early with
+`env_issue`; fix that environment input before treating the product path as
+measured.
+
+## 6. Read Results
+
+Suite reports live under `skills/reports/`. Evidence lives under
+`skills/reports/evidence/<run-id>/`.
+
+For performance cases, inspect:
+
+- `metrics.json` for p50/p95/p99, error rate, and total duration;
+- `automation-result.json` for threshold decisions and artifacts;
+- `console.log` and `network.log` for frontend/API failures;
+- backend logs for provider, runner, WebSocket, or persistence failures.
+
+Do not call a user-path performance result a LangBot overhead regression until
+provider/tool/network time has been separated or ruled out.

skills/schemas/case.schema.json

@@ -48,7 +48,18 @@
     },
     "type": {
       "type": "string",
-      "enum": ["smoke", "regression", "feature", "provider", "exploratory"]
+      "enum": [
+        "smoke",
+        "regression",
+        "feature",
+        "provider",
+        "exploratory",
+        "contract",
+        "performance",
+        "reliability",
+        "chaos",
+        "security"
+      ]
     },
     "priority": {
       "type": "string",
@@ -102,7 +113,11 @@
           "backend_log",
           "frontend_log",
           "api_diagnostic",
-          "filesystem"
+          "filesystem",
+          "metrics",
+          "trace",
+          "profile",
+          "resource_log"
         ]
       },
       "minItems": 1
@@ -188,9 +203,101 @@
       "type": "string",
       "enum": ["person", "group"]
     },
+    "automation_debug_chat_response_p95_ms": {
+      "type": "string"
+    },
+    "automation_debug_chat_max_error_rate": {
+      "type": "string"
+    },
+    "automation_debug_chat_load_requests": {
+      "type": "string"
+    },
+    "automation_debug_chat_load_concurrency": {
+      "type": "string"
+    },
+    "automation_debug_chat_load_timeout_ms": {
+      "type": "string"
+    },
+    "automation_debug_chat_load_response_p95_ms": {
+      "type": "string"
+    },
+    "automation_debug_chat_load_first_response_p95_ms": {
+      "type": "string"
+    },
+    "automation_debug_chat_load_max_error_rate": {
+      "type": "string"
+    },
+    "automation_debug_chat_load_min_error_rate": {
+      "type": "string"
+    },
+    "automation_debug_chat_load_min_error_count": {
+      "type": "string"
+    },
+    "automation_debug_chat_load_min_ok_count": {
+      "type": "string"
+    },
+    "automation_debug_chat_load_min_provider_fault_count": {
+      "type": "string"
+    },
+    "automation_debug_chat_load_expected_prefix": {
+      "type": "string"
+    },
+    "automation_debug_chat_load_prompt_template": {
+      "type": "string"
+    },
+    "automation_debug_chat_load_stream": {
+      "type": "string",
+      "enum": ["0", "1", "false", "true"]
+    },
+    "automation_debug_chat_load_reset": {
+      "type": "string",
+      "enum": ["0", "1", "false", "true"]
+    },
+    "automation_debug_chat_load_fail_on_final_mismatch": {
+      "type": "string",
+      "enum": ["0", "1", "false", "true"]
+    },
+    "automation_fake_provider_response_text": {
+      "type": "string"
+    },
+    "automation_fake_provider_first_token_delay_ms": {
+      "type": "string"
+    },
+    "automation_fake_provider_chunk_delay_ms": {
+      "type": "string"
+    },
+    "automation_fake_provider_chunk_count": {
+      "type": "string"
+    },
+    "automation_fake_provider_fail_first_n": {
+      "type": "string"
+    },
+    "automation_fake_provider_fail_every_n": {
+      "type": "string"
+    },
+    "automation_fake_provider_fault_status": {
+      "type": "string"
+    },
+    "automation_fake_provider_fail_after_first_chunk": {
+      "type": "string",
+      "enum": ["0", "1", "false", "true"]
+    },
+    "automation_fake_provider_dynamic_response": {
+      "type": "string",
+      "enum": ["0", "1", "false", "true"]
+    },
     "automation_filesystem_checks_json": {
       "type": "string"
     },
+    "metrics_thresholds_json": {
+      "type": "string"
+    },
+    "load_profile_json": {
+      "type": "string"
+    },
+    "fault_model_json": {
+      "type": "string"
+    },
     "automation_pipeline_url_env": {
       "type": "string",
       "pattern": "^[A-Z][A-Z0-9_]*$"

skills/schemas/suite.schema.json

@@ -18,7 +18,17 @@
     },
     "type": {
       "type": "string",
-      "enum": ["smoke", "regression", "release_gate", "exploratory"]
+      "enum": [
+        "smoke",
+        "regression",
+        "release_gate",
+        "exploratory",
+        "contract",
+        "performance",
+        "reliability",
+        "chaos",
+        "security"
+      ]
     },
     "priority": {
       "type": "string",

skills/scripts/e2e/ensure-fake-provider-cross-pipelines.mjs

@@ -0,0 +1,205 @@
+#!/usr/bin/env node
+
+import { spawn } from "node:child_process";
+import { mkdir, readFile, writeFile } from "node:fs/promises";
+import { dirname, resolve } from "node:path";
+import { env } from "node:process";
+import {
+  appendLine,
+  ensureEvidence,
+  evidencePaths,
+  loadEnvFiles,
+  redact,
+  writeResult,
+} from "./lib/langbot-e2e.mjs";
+
+const caseId = "ensure-fake-provider-cross-pipelines";
+const DEFAULT_PIPELINE_A_NAME = "LangBot QA Fake Provider Debug Chat A";
+const DEFAULT_PIPELINE_B_NAME = "LangBot QA Fake Provider Debug Chat B";
+
+await loadEnvFiles();
+const paths = evidencePaths(caseId);
+await ensureEvidence(paths);
+
+const writeEnv = process.argv.includes("--write-env");
+const envLocalPath = resolve("skills/.env.local");
+const pipelineAName = env.LANGBOT_FAKE_PROVIDER_PIPELINE_A_NAME || DEFAULT_PIPELINE_A_NAME;
+const pipelineBName = env.LANGBOT_FAKE_PROVIDER_PIPELINE_B_NAME || DEFAULT_PIPELINE_B_NAME;
+
+const result = {
+  source: "setup_automation",
+  case_id: caseId,
+  run_id: paths.runId,
+  status: "fail",
+  reason: "",
+  pipeline_a: {
+    name: pipelineAName,
+    id: "",
+    url: "",
+  },
+  pipeline_b: {
+    name: pipelineBName,
+    id: "",
+    url: "",
+  },
+  fake_provider: {
+    url: "",
+    base_url: "",
+    pid: null,
+  },
+  wrote_env: false,
+  evidence: {
+    console_log: paths.consoleLog,
+    automation_result_json: paths.automationResultJson,
+    result_json: paths.resultJson,
+  },
+  evidence_collected: ["api_diagnostic", "filesystem"],
+};
+
+try {
+  console.error(`[langbot-qa] configuring cross-pipeline QA fixtures: pipeline_a=\"${pipelineAName}\", pipeline_b=\"${pipelineBName}\"`);
+  console.error("[langbot-qa] run these fake-provider setup/probe commands serially when they share LANGBOT_FAKE_PROVIDER_URL.");
+  if (pipelineAName === pipelineBName) {
+    throw new Error("LANGBOT_FAKE_PROVIDER_PIPELINE_A_NAME and LANGBOT_FAKE_PROVIDER_PIPELINE_B_NAME must be different.");
+  }
+
+  const setupA = await runPipelineSetup(pipelineAName, "A");
+  const setupB = await runPipelineSetup(pipelineBName, "B");
+  result.pipeline_a = {
+    name: setupA.pipeline_name || pipelineAName,
+    id: setupA.pipeline_id || "",
+    url: setupA.pipeline_url || "",
+  };
+  result.pipeline_b = {
+    name: setupB.pipeline_name || pipelineBName,
+    id: setupB.pipeline_id || "",
+    url: setupB.pipeline_url || "",
+  };
+  result.fake_provider = {
+    url: setupB.fake_provider?.url || setupA.fake_provider?.url || "",
+    base_url: setupB.fake_provider?.base_url || setupA.fake_provider?.base_url || "",
+    pid: setupB.fake_provider?.pid ?? setupA.fake_provider?.pid ?? null,
+  };
+
+  if (!result.pipeline_a.url || !result.pipeline_b.url || !result.fake_provider.url) {
+    throw new Error("Cross-pipeline fake provider setup did not return both pipeline URLs and provider URL.");
+  }
+
+  if (writeEnv) {
+    await upsertEnvLocal(envLocalPath, {
+      LANGBOT_FAKE_PROVIDER_URL: result.fake_provider.url,
+      LANGBOT_FAKE_PROVIDER_BASE_URL: result.fake_provider.base_url,
+      LANGBOT_FAKE_PROVIDER_PID: result.fake_provider.pid ? String(result.fake_provider.pid) : "",
+      LANGBOT_FAKE_PROVIDER_PIPELINE_A_URL: result.pipeline_a.url,
+      LANGBOT_FAKE_PROVIDER_PIPELINE_A_NAME: result.pipeline_a.name,
+      LANGBOT_FAKE_PROVIDER_PIPELINE_B_URL: result.pipeline_b.url,
+      LANGBOT_FAKE_PROVIDER_PIPELINE_B_NAME: result.pipeline_b.name,
+    });
+    result.wrote_env = true;
+  }
+
+  result.status = "pass";
+  result.reason = "Fake provider cross-pipeline fixtures are configured.";
+} catch (error) {
+  result.status = looksLikeEnvIssue(error) ? "env_issue" : "fail";
+  result.reason = safeReason(error.message);
+} finally {
+  await writeResult(paths, result);
+  console.log(JSON.stringify(result, null, 2));
+}
+
+process.exit(result.status === "pass" ? 0 : result.status === "env_issue" ? 2 : 1);
+
+function runPipelineSetup(pipelineName, label) {
+  return new Promise((resolvePromise, rejectPromise) => {
+    const child = spawn(process.execPath, ["scripts/e2e/ensure-fake-provider-pipeline.mjs"], {
+      cwd: resolve("."),
+      env: {
+        ...env,
+        LANGBOT_FAKE_PROVIDER_PIPELINE_NAME: pipelineName,
+        LANGBOT_FAKE_PROVIDER_FIRST_TOKEN_DELAY_MS: env.LANGBOT_FAKE_PROVIDER_FIRST_TOKEN_DELAY_MS || "25",
+        LANGBOT_FAKE_PROVIDER_CHUNK_DELAY_MS: env.LANGBOT_FAKE_PROVIDER_CHUNK_DELAY_MS || "10",
+        LANGBOT_FAKE_PROVIDER_CHUNK_COUNT: env.LANGBOT_FAKE_PROVIDER_CHUNK_COUNT || "0",
+        LANGBOT_FAKE_PROVIDER_FAIL_FIRST_N: "0",
+        LANGBOT_FAKE_PROVIDER_FAIL_EVERY_N: "0",
+        LANGBOT_FAKE_PROVIDER_FAULT_STATUS: env.LANGBOT_FAKE_PROVIDER_FAULT_STATUS || "500",
+        LANGBOT_FAKE_PROVIDER_FAIL_AFTER_FIRST_CHUNK: "false",
+        LANGBOT_FAKE_PROVIDER_DYNAMIC_RESPONSE: "true",
+      },
+      stdio: ["ignore", "pipe", "pipe"],
+    });
+
+    let stdout = "";
+    let stderr = "";
+    child.stdout.on("data", (chunk) => {
+      const text = chunk.toString();
+      stdout += text;
+      appendLine(paths.consoleLog, `[setup ${label} stdout] ${text.trimEnd()}`).catch(() => {});
+    });
+    child.stderr.on("data", (chunk) => {
+      const text = chunk.toString();
+      stderr += text;
+      appendLine(paths.consoleLog, `[setup ${label} stderr] ${text.trimEnd()}`).catch(() => {});
+    });
+    child.on("error", rejectPromise);
+    child.on("close", (code) => {
+      const parsed = parseJsonOutput(stdout);
+      if (code !== 0 || parsed.status !== "pass") {
+        rejectPromise(new Error(parsed.reason || stderr || `Fake provider pipeline setup ${label} exited with ${code}.`));
+        return;
+      }
+      resolvePromise(parsed);
+    });
+  });
+}
+
+function parseJsonOutput(text) {
+  const trimmed = String(text || "").trim();
+  if (!trimmed) return {};
+  try {
+    return JSON.parse(trimmed);
+  } catch {
+    const start = trimmed.indexOf("{");
+    const end = trimmed.lastIndexOf("}");
+    if (start >= 0 && end > start) {
+      try {
+        return JSON.parse(trimmed.slice(start, end + 1));
+      } catch {
+        return {};
+      }
+    }
+    return {};
+  }
+}
+
+async function upsertEnvLocal(path, updates) {
+  await mkdir(dirname(path), { recursive: true });
+  let text = "";
+  try {
+    text = await readFile(path, "utf8");
+  } catch {
+    text = "";
+  }
+  const lines = text.split(/\r?\n/);
+  const seen = new Set();
+  const next = lines.map((line) => {
+    const trimmed = line.trim();
+    const match = trimmed.match(/^([A-Z][A-Z0-9_]*)=/);
+    if (!match || updates[match[1]] === undefined) return line;
+    seen.add(match[1]);
+    return `${match[1]}=${updates[match[1]]}`;
+  });
+  for (const [key, value] of Object.entries(updates)) {
+    if (!seen.has(key)) next.push(`${key}=${value}`);
+  }
+  await writeFile(path, `${next.join("\n").replace(/\n+$/, "")}\n`, "utf8");
+}
+
+function looksLikeEnvIssue(error) {
+  const message = String(error?.message || error || "");
+  return /fetch failed|ECONNREFUSED|ENOTFOUND|LANGBOT_.*not configured|Could not read recovery_key|Backend did not respond/i.test(message);
+}
+
+function safeReason(value) {
+  return redact(String(value || "")).slice(0, 1000);
+}

skills/scripts/e2e/ensure-fake-provider-pipeline.mjs

@@ -0,0 +1,635 @@
+#!/usr/bin/env node
+
+import { spawn } from "node:child_process";
+import { open, readFile, mkdir, writeFile } from "node:fs/promises";
+import { dirname, resolve } from "node:path";
+import { env } from "node:process";
+import {
+  apiJson,
+  ensureEvidence,
+  evidencePaths,
+  loadEnvFiles,
+  redact,
+  resetAndAuthLocalUser,
+  writeResult,
+} from "./lib/langbot-e2e.mjs";
+
+const RUNNER_ID = "local-agent";
+const DEFAULT_LOCAL_PASSWORD = "LangBotE2ELocalPass!2026";
+const DEFAULT_PIPELINE_NAME = "LangBot QA Fake Provider Debug Chat";
+const DEFAULT_PROVIDER_NAME = "LangBot QA Fake OpenAI Provider";
+const QA_RESOURCE_DESCRIPTION = "Managed by LangBot skills QA automation for controlled fake-provider Debug Chat tests. Safe to delete when local QA fixtures are no longer needed.";
+const DEFAULT_MODEL_NAME = "gpt-4o-mini";
+const DEFAULT_REQUESTER = "openai-chat-completions";
+
+const caseId = "ensure-fake-provider-pipeline";
+
+await loadEnvFiles();
+const paths = evidencePaths(caseId);
+await ensureEvidence(paths);
+
+const writeEnv = process.argv.includes("--write-env");
+const frontendUrl = env.LANGBOT_FRONTEND_URL || "";
+const backendUrl = env.LANGBOT_BACKEND_URL || "";
+const envLocalPath = resolve("skills/.env.local");
+const repoRoot = resolve(env.LANGBOT_REPO || "..");
+const fakeStateDir = resolve(env.LANGBOT_FAKE_PROVIDER_STATE_DIR || resolve(repoRoot, ".qa/fake-provider"));
+const fakeStatePath = resolve(fakeStateDir, "state.json");
+const fakeStdoutPath = resolve(fakeStateDir, "fake-provider.stdout.log");
+const fakeStderrPath = resolve(fakeStateDir, "fake-provider.stderr.log");
+const pipelineName = env.LANGBOT_FAKE_PROVIDER_PIPELINE_NAME || DEFAULT_PIPELINE_NAME;
+const providerName = env.LANGBOT_FAKE_PROVIDER_NAME || DEFAULT_PROVIDER_NAME;
+const requester = env.LANGBOT_FAKE_PROVIDER_REQUESTER || DEFAULT_REQUESTER;
+const modelName = env.LANGBOT_FAKE_PROVIDER_MODEL_NAME || DEFAULT_MODEL_NAME;
+
+const result = {
+  source: "automation",
+  case_id: caseId,
+  run_id: paths.runId,
+  status: "fail",
+  reason: "",
+  frontend_url: frontendUrl,
+  backend_url: backendUrl,
+  fake_provider: {
+    url: "",
+    base_url: "",
+    pid: null,
+    reused: false,
+    config: {},
+    state_file: fakeStatePath,
+    stdout_log: fakeStdoutPath,
+    stderr_log: fakeStderrPath,
+  },
+  provider: {
+    uuid: "",
+    name: providerName,
+    requester,
+    created: false,
+    updated: false,
+  },
+  model: {
+    uuid: "",
+    name: modelName,
+    created: false,
+    updated: false,
+    test_status: "not_run",
+    test_reason: "",
+  },
+  pipeline_id: "",
+  pipeline_name: pipelineName,
+  pipeline_url: "",
+  created: false,
+  updated: false,
+  wrote_env: false,
+  evidence: {
+    console_log: paths.consoleLog,
+    network_log: paths.networkLog,
+    automation_result_json: paths.automationResultJson,
+    result_json: paths.resultJson,
+  },
+  evidence_collected: ["api_diagnostic", "network", "filesystem"],
+};
+
+try {
+  console.error(`[langbot-qa] configuring QA-owned fake-provider fixtures: provider=\"${providerName}\", pipeline=\"${pipelineName}\"`);
+  console.error("[langbot-qa] this setup may create or update local QA provider/model/pipeline resources on the selected backend.");
+  if (!backendUrl) {
+    result.status = "env_issue";
+    throw new Error("LANGBOT_BACKEND_URL is not configured.");
+  }
+  if (!frontendUrl) {
+    result.status = "env_issue";
+    throw new Error("LANGBOT_FRONTEND_URL is not configured.");
+  }
+
+  const fakeProvider = await ensureFakeProvider();
+  const setupConfig = await configureFakeProvider(fakeProvider.url, healthyFakeProviderConfig(), true);
+  result.fake_provider = {
+    ...result.fake_provider,
+    ...fakeProvider,
+    config: setupConfig.config || healthyFakeProviderConfig(),
+  };
+
+  const user = env.LANGBOT_E2E_LOGIN_USER || "";
+  const password = env.LANGBOT_E2E_LOGIN_PASSWORD || DEFAULT_LOCAL_PASSWORD;
+  if (!user) {
+    result.status = "env_issue";
+    throw new Error("LANGBOT_E2E_LOGIN_USER is required so this setup can create/update the fake provider pipeline.");
+  }
+
+  const auth = await resetAndAuthLocalUser({ backendUrl, user, password });
+  const wizard = await skipWizard({ backendUrl, token: auth.token });
+  if (wizard.status !== "pass") {
+    result.status = "fail";
+    throw new Error(wizard.reason || "Failed to mark the local QA wizard as skipped.");
+  }
+
+  const provider = await ensureProvider({
+    backendUrl,
+    token: auth.token,
+    name: providerName,
+    requester,
+    baseUrl: fakeProvider.base_url,
+  });
+  result.provider = provider;
+
+  const model = await ensureModel({
+    backendUrl,
+    token: auth.token,
+    providerUuid: provider.uuid,
+    name: modelName,
+  });
+  result.model = model;
+
+  const pipeline = await ensurePipeline({
+    backendUrl,
+    token: auth.token,
+    name: pipelineName,
+    modelUuid: model.uuid,
+  });
+  Object.assign(result, pipeline);
+  result.pipeline_url = `${frontendUrl.replace(/\/$/, "")}/home/pipelines?id=${encodeURIComponent(pipeline.pipeline_id)}`;
+
+  const runConfig = await configureFakeProvider(fakeProvider.url, targetFakeProviderConfig(), true);
+  result.fake_provider.config = runConfig.config || targetFakeProviderConfig();
+
+  if (writeEnv) {
+    await upsertEnvLocal(envLocalPath, {
+      LANGBOT_E2E_LOGIN_USER: user,
+      LANGBOT_FAKE_PROVIDER_URL: fakeProvider.url,
+      LANGBOT_FAKE_PROVIDER_BASE_URL: fakeProvider.base_url,
+      LANGBOT_FAKE_PROVIDER_PID: fakeProvider.pid ? String(fakeProvider.pid) : "",
+      LANGBOT_FAKE_PROVIDER_PROVIDER_UUID: provider.uuid,
+      LANGBOT_FAKE_PROVIDER_MODEL_UUID: model.uuid,
+      LANGBOT_FAKE_PROVIDER_PIPELINE_URL: result.pipeline_url,
+      LANGBOT_FAKE_PROVIDER_PIPELINE_NAME: pipelineName,
+    });
+    result.wrote_env = true;
+  }
+
+  result.status = "pass";
+  result.reason = `Fake provider pipeline is configured with ${requester}/${modelName}.`;
+} catch (error) {
+  result.status = result.status === "env_issue" ? "env_issue" : "fail";
+  result.reason = result.reason || safeReason(error.message);
+} finally {
+  await writeResult(paths, result);
+  console.log(JSON.stringify(result, null, 2));
+}
+
+process.exit(result.status === "pass" ? 0 : result.status === "env_issue" ? 2 : 1);
+
+async function ensureFakeProvider() {
+  const envUrl = normalizeProviderRootUrl(env.LANGBOT_FAKE_PROVIDER_URL || "");
+  if (envUrl && await fakeProviderHealthy(envUrl) && await fakeProviderConfigurable(envUrl)) {
+    return {
+      url: envUrl,
+      base_url: `${envUrl}/v1`,
+      pid: null,
+      reused: true,
+    };
+  }
+
+  const state = await readState(fakeStatePath);
+  const stateUrl = normalizeProviderRootUrl(state.url || "");
+  if (stateUrl && await fakeProviderHealthy(stateUrl)) {
+    if (await fakeProviderConfigurable(stateUrl)) {
+      return {
+        url: stateUrl,
+        base_url: state.base_url || `${stateUrl}/v1`,
+        pid: Number.isInteger(state.pid) ? state.pid : null,
+        reused: true,
+      };
+    }
+    if (Number.isInteger(state.pid)) await stopProcess(state.pid);
+  }
+
+  await mkdir(fakeStateDir, { recursive: true });
+  await writeFile(fakeStatePath, `${JSON.stringify({ status: "starting", started_at: new Date().toISOString() }, null, 2)}\n`, "utf8");
+  const stdout = await open(fakeStdoutPath, "a");
+  const stderr = await open(fakeStderrPath, "a");
+  const scriptPath = resolve("scripts/e2e/fake-openai-provider.mjs");
+  const host = env.LANGBOT_FAKE_PROVIDER_HOST || "127.0.0.1";
+  const port = env.LANGBOT_FAKE_PROVIDER_PORT || "0";
+  const child = spawn(process.execPath, [
+    scriptPath,
+    `--host=${host}`,
+    `--port=${port}`,
+    `--state-file=${fakeStatePath}`,
+  ], {
+    cwd: resolve("."),
+    detached: true,
+    env: {
+      ...env,
+      LANGBOT_FAKE_PROVIDER_MODEL_NAME: modelName,
+    },
+    stdio: ["ignore", stdout.fd, stderr.fd],
+  });
+  child.unref();
+  await stdout.close();
+  await stderr.close();
+
+  const started = await waitForFakeProviderState(fakeStatePath, child.pid, 10_000);
+  if (!started.url || !await fakeProviderHealthy(started.url) || !await fakeProviderConfigurable(started.url)) {
+    throw new Error(`Fake provider did not become healthy. See ${fakeStderrPath}`);
+  }
+
+  return {
+    url: started.url,
+    base_url: started.base_url || `${started.url}/v1`,
+    pid: child.pid ?? started.pid ?? null,
+    reused: false,
+  };
+}
+
+async function configureFakeProvider(rootUrl, config, resetRequestCount) {
+  const response = await fetch(`${normalizeProviderRootUrl(rootUrl)}/__qa/config`, {
+    method: "POST",
+    headers: { "content-type": "application/json" },
+    body: JSON.stringify({
+      config,
+      reset_request_count: resetRequestCount,
+    }),
+    signal: AbortSignal.timeout(3000),
+  });
+  const json = await response.json().catch(() => ({}));
+  if (!response.ok || json.ok !== true) {
+    throw new Error(`Fake provider config failed with HTTP ${response.status}.`);
+  }
+  return json;
+}
+
+async function fakeProviderHealthy(rootUrl) {
+  try {
+    const response = await fetch(`${rootUrl.replace(/\/$/, "")}/healthz`, {
+      signal: AbortSignal.timeout(2000),
+    });
+    if (!response.ok) return false;
+    const json = await response.json().catch(() => ({}));
+    return json.ok === true;
+  } catch {
+    return false;
+  }
+}
+
+async function fakeProviderConfigurable(rootUrl) {
+  try {
+    const response = await fetch(`${rootUrl.replace(/\/$/, "")}/__qa/config`, {
+      signal: AbortSignal.timeout(2000),
+    });
+    if (!response.ok) return false;
+    const json = await response.json().catch(() => ({}));
+    return json.ok === true && json.config && typeof json.config === "object";
+  } catch {
+    return false;
+  }
+}
+
+async function stopProcess(pid) {
+  try {
+    process.kill(pid, "SIGTERM");
+  } catch {
+    return;
+  }
+  await sleep(500);
+}
+
+async function waitForFakeProviderState(path, expectedPid, timeoutMs) {
+  const startedAt = Date.now();
+  let lastState = {};
+  while (Date.now() - startedAt < timeoutMs) {
+    const state = await readState(path);
+    if (state.url && (!expectedPid || state.pid === expectedPid)) return state;
+    lastState = state;
+    await sleep(150);
+  }
+  return lastState;
+}
+
+async function readState(path) {
+  try {
+    return JSON.parse(await readFile(path, "utf8"));
+  } catch {
+    return {};
+  }
+}
+
+function normalizeProviderRootUrl(value) {
+  const trimmed = String(value || "").trim().replace(/\/$/, "");
+  return trimmed.endsWith("/v1") ? trimmed.slice(0, -3) : trimmed;
+}
+
+function healthyFakeProviderConfig() {
+  return {
+    response_text: "OK",
+    first_token_delay_ms: 25,
+    chunk_delay_ms: 10,
+    chunk_count: 0,
+    fault_status: 500,
+    fail_first_n: 0,
+    fail_every_n: 0,
+    fail_after_first_chunk: false,
+    dynamic_response: true,
+  };
+}
+
+function targetFakeProviderConfig() {
+  return {
+    response_text: env.LANGBOT_FAKE_PROVIDER_RESPONSE_TEXT || "OK",
+    first_token_delay_ms: nonNegativeInteger(env.LANGBOT_FAKE_PROVIDER_FIRST_TOKEN_DELAY_MS, 25),
+    chunk_delay_ms: nonNegativeInteger(env.LANGBOT_FAKE_PROVIDER_CHUNK_DELAY_MS, 10),
+    chunk_count: nonNegativeInteger(env.LANGBOT_FAKE_PROVIDER_CHUNK_COUNT, 0),
+    fault_status: httpFaultStatus(env.LANGBOT_FAKE_PROVIDER_FAULT_STATUS, 500),
+    fail_first_n: nonNegativeInteger(env.LANGBOT_FAKE_PROVIDER_FAIL_FIRST_N, 0),
+    fail_every_n: nonNegativeInteger(env.LANGBOT_FAKE_PROVIDER_FAIL_EVERY_N, 0),
+    fail_after_first_chunk: envBool(env.LANGBOT_FAKE_PROVIDER_FAIL_AFTER_FIRST_CHUNK, false),
+    dynamic_response: envBool(env.LANGBOT_FAKE_PROVIDER_DYNAMIC_RESPONSE, true),
+  };
+}
+
+async function skipWizard({ backendUrl, token }) {
+  const response = await apiJson(backendUrl, "/api/v1/system/wizard/completed", {
+    method: "POST",
+    token,
+    body: { status: "skipped" },
+  });
+  const ok = response.status < 400 && response.json.code === 0;
+  return {
+    status: ok ? "pass" : "fail",
+    http_status: response.status,
+    code: response.json.code ?? null,
+    reason: ok ? "Wizard marked skipped for local QA." : response.json.msg || "Wizard status update failed.",
+  };
+}
+
+async function ensureProvider({ backendUrl, token, name, requester, baseUrl }) {
+  const list = await apiJson(backendUrl, "/api/v1/provider/providers", { token });
+  if (isApiFailure(list)) {
+    throw new Error(list.json.msg || "Failed to list providers.");
+  }
+  const providers = list.json.data?.providers || [];
+  const existing = providers.find((provider) => (
+    provider.name === name
+      || (provider.requester === requester && String(provider.base_url || "").replace(/\/$/, "") === baseUrl.replace(/\/$/, ""))
+  ));
+  const body = {
+    name,
+    requester,
+    base_url: baseUrl,
+    api_keys: [env.LANGBOT_FAKE_PROVIDER_API_KEY || "langbot-fake-provider-key"],
+  };
+
+  if (existing?.uuid) {
+    const update = await apiJson(backendUrl, `/api/v1/provider/providers/${encodeURIComponent(existing.uuid)}`, {
+      method: "PUT",
+      token,
+      body,
+    });
+    if (isApiFailure(update)) {
+      throw new Error(update.json.msg || "Failed to update fake provider.");
+    }
+    return {
+      uuid: existing.uuid,
+      name,
+      requester,
+      created: false,
+      updated: true,
+    };
+  }
+
+  const create = await apiJson(backendUrl, "/api/v1/provider/providers", {
+    method: "POST",
+    token,
+    body,
+  });
+  const uuid = create.json.data?.uuid || "";
+  if (isApiFailure(create) || !uuid) {
+    throw new Error(create.json.msg || "Failed to create fake provider.");
+  }
+  return {
+    uuid,
+    name,
+    requester,
+    created: true,
+    updated: false,
+  };
+}
+
+async function ensureModel({ backendUrl, token, providerUuid, name }) {
+  const list = await apiJson(backendUrl, `/api/v1/provider/models/llm?provider_uuid=${encodeURIComponent(providerUuid)}`, { token });
+  if (isApiFailure(list)) {
+    throw new Error(list.json.msg || "Failed to list fake provider models.");
+  }
+  const models = list.json.data?.models || [];
+  const existing = models.find((model) => model.name === name);
+  const body = {
+    name,
+    provider_uuid: providerUuid,
+    abilities: [],
+    context_length: positiveInteger(env.LANGBOT_FAKE_PROVIDER_CONTEXT_LENGTH, 8192),
+    extra_args: {},
+    prefered_ranking: 0,
+  };
+  let modelUuid = existing?.uuid || "";
+  let created = false;
+  let updated = false;
+
+  if (modelUuid) {
+    const update = await apiJson(backendUrl, `/api/v1/provider/models/llm/${encodeURIComponent(modelUuid)}`, {
+      method: "PUT",
+      token,
+      body,
+    });
+    if (isApiFailure(update)) {
+      throw new Error(update.json.msg || "Failed to update fake provider model.");
+    }
+    updated = true;
+  } else {
+    const create = await apiJson(backendUrl, "/api/v1/provider/models/llm", {
+      method: "POST",
+      token,
+      body,
+    });
+    modelUuid = create.json.data?.uuid || "";
+    if (isApiFailure(create) || !modelUuid) {
+      throw new Error(create.json.msg || "Failed to create fake provider model.");
+    }
+    created = true;
+  }
+
+  const test = await apiJson(backendUrl, `/api/v1/provider/models/llm/${encodeURIComponent(modelUuid)}/test`, {
+    method: "POST",
+    token,
+    body: { extra_args: {} },
+  });
+  if (isApiFailure(test)) {
+    throw new Error(safeReason(test.json.msg || test.json.message || "Fake provider model test failed."));
+  }
+
+  return {
+    uuid: modelUuid,
+    name,
+    created,
+    updated,
+    test_status: "pass",
+    test_reason: "",
+  };
+}
+
+async function ensurePipeline({ backendUrl, token, name, modelUuid }) {
+  const list = await apiJson(backendUrl, "/api/v1/pipelines", { token });
+  if (isApiFailure(list)) {
+    throw new Error(list.json.msg || "Failed to list pipelines.");
+  }
+  const pipelines = list.json.data?.pipelines || [];
+  let pipeline = pipelines.find((item) => item.name === name) || null;
+  let created = false;
+
+  if (!pipeline) {
+    const create = await apiJson(backendUrl, "/api/v1/pipelines", {
+      method: "POST",
+      token,
+      body: {
+        name,
+        description: QA_RESOURCE_DESCRIPTION,
+        emoji: "QA",
+      },
+    });
+    const pipelineId = create.json.data?.uuid || "";
+    if (isApiFailure(create) || !pipelineId) {
+      throw new Error(create.json.msg || "Failed to create fake provider pipeline.");
+    }
+    created = true;
+    pipeline = { uuid: pipelineId };
+  }
+
+  const loaded = await apiJson(backendUrl, `/api/v1/pipelines/${encodeURIComponent(pipeline.uuid)}`, { token });
+  pipeline = loaded.json.data?.pipeline || null;
+  if (isApiFailure(loaded) || !pipeline?.uuid) {
+    throw new Error(loaded.json.msg || "Failed to load fake provider pipeline.");
+  }
+
+  const config = pipeline.config && typeof pipeline.config === "object" ? pipeline.config : {};
+  const ai = config.ai && typeof config.ai === "object" ? config.ai : {};
+  const existingLocalAgentConfig = ai["local-agent"] && typeof ai["local-agent"] === "object"
+    ? ai["local-agent"]
+    : {};
+  const localAgentConfig = {
+    timeout: 60,
+    prompt: [{ role: "system", content: "You are a deterministic QA assistant. Reply exactly as instructed." }],
+    "remove-think": false,
+    "knowledge-bases": [],
+    "box-session-id-template": "{launcher_type}_{launcher_id}",
+    "retrieval-top-k": 5,
+    "rerank-model": "",
+    "rerank-top-k": 5,
+    "max-tool-iterations": 20,
+    "tool-execution-mode": "parallel",
+    "max-tool-result-chars": 20000,
+    "context-history-fetch-limit": 20,
+    "context-window-tokens": 8192,
+    "context-reserve-tokens": 1024,
+    "context-keep-recent-tokens": 2048,
+    "context-summary-tokens": 1024,
+    ...existingLocalAgentConfig,
+    // Current backend truncation still reads this field directly.
+    "max-round": positiveInteger(existingLocalAgentConfig["max-round"], 10),
+    model: {
+      primary: modelUuid,
+      fallbacks: [],
+    },
+  };
+  const updatedConfig = {
+    ...config,
+    ai: {
+      ...ai,
+      runner: {
+        ...(ai.runner && typeof ai.runner === "object" ? ai.runner : {}),
+        id: RUNNER_ID,
+        runner: RUNNER_ID,
+        "expire-time": 0,
+      },
+      "local-agent": localAgentConfig,
+    },
+  };
+
+  const update = await apiJson(backendUrl, `/api/v1/pipelines/${encodeURIComponent(pipeline.uuid)}`, {
+    method: "PUT",
+    token,
+    body: {
+      name,
+      description: QA_RESOURCE_DESCRIPTION,
+      emoji: "QA",
+      config: updatedConfig,
+    },
+  });
+  if (isApiFailure(update)) {
+    throw new Error(update.json.msg || "Failed to update fake provider pipeline.");
+  }
+
+  return {
+    pipeline_id: pipeline.uuid,
+    pipeline_name: name,
+    created,
+    updated: true,
+  };
+}
+
+function isApiFailure(response) {
+  return response.status >= 400 || (response.json.code !== undefined && response.json.code !== 0);
+}
+
+function positiveInteger(value, fallback) {
+  const parsed = Number(value);
+  return Number.isInteger(parsed) && parsed > 0 ? parsed : fallback;
+}
+
+function nonNegativeInteger(value, fallback) {
+  const parsed = Number(value);
+  return Number.isInteger(parsed) && parsed >= 0 ? parsed : fallback;
+}
+
+function httpFaultStatus(value, fallback) {
+  const parsed = Number(value);
+  return Number.isInteger(parsed) && parsed >= 400 && parsed <= 599 ? parsed : fallback;
+}
+
+function envBool(value, fallback) {
+  if (value === undefined || value === "") return fallback;
+  if (/^(1|true|yes|on)$/i.test(String(value))) return true;
+  if (/^(0|false|no|off)$/i.test(String(value))) return false;
+  return fallback;
+}
+
+function sleep(ms) {
+  return new Promise((resolve) => setTimeout(resolve, ms));
+}
+
+function safeReason(value) {
+  return redact(String(value || "")).slice(0, 1000);
+}
+
+async function upsertEnvLocal(path, updates) {
+  await mkdir(dirname(path), { recursive: true });
+  let text = "";
+  try {
+    text = await readFile(path, "utf8");
+  } catch {
+    text = "";
+  }
+  const lines = text.split(/\r?\n/);
+  const seen = new Set();
+  const next = lines.map((line) => {
+    const trimmed = line.trim();
+    const equals = trimmed.indexOf("=");
+    if (equals <= 0 || trimmed.startsWith("#")) return line;
+    const key = trimmed.slice(0, equals).trim();
+    if (!(key in updates)) return line;
+    seen.add(key);
+    return `${key}=${updates[key]}`;
+  });
+  for (const [key, value] of Object.entries(updates)) {
+    if (!seen.has(key)) next.push(`${key}=${value}`);
+  }
+  await writeFile(path, `${next.filter((line, index) => line !== "" || index < next.length - 1).join("\n")}\n`, "utf8");
+}

skills/scripts/e2e/ensure-local-agent-pipeline.mjs

@@ -10,6 +10,7 @@ import {
   ensureEvidence,
   evidencePaths,
   loadEnvFiles,
+  redact,
   resetAndAuthLocalUser,
   safeScreenshot,
   setBrowserToken,
@@ -17,9 +18,12 @@ import {
   writeResult,
 } from "./lib/langbot-e2e.mjs";
 
-const RUNNER_ID = "plugin:langbot/local-agent/default";
+const RUNNER_ID = "local-agent";
+const SPACE_PROVIDER_UUID = "00000000-0000-0000-0000-000000000000";
 const DEFAULT_PIPELINE_NAME = "Agent QA Local Agent Debug Chat";
 const DEFAULT_LOCAL_PASSWORD = "LangBotE2ELocalPass!2026";
+const DEFAULT_MODEL_TEST_LIMIT = 8;
+const DEFAULT_MODEL_FALLBACK_COUNT = 3;
 const caseId = "ensure-local-agent-pipeline";
 
 await loadEnvFiles();
@@ -45,11 +49,18 @@ const result = {
   pipeline_url: "",
   runner_id: RUNNER_ID,
   selected_model_id: "",
+  selected_model_name: "",
+  fallback_model_ids: [],
   model_count: 0,
+  space_model_count: 0,
+  scanned_space_model_count: 0,
+  tested_model_count: 0,
+  model_tests: [],
   created: false,
   updated: false,
   wrote_env: false,
   auth: null,
+  wizard: null,
   browser_token_check: null,
   page_signal: "",
   evidence: {
@@ -71,6 +82,7 @@ try {
   const user = env.LANGBOT_E2E_LOGIN_USER || "";
   const password = env.LANGBOT_E2E_LOGIN_PASSWORD || DEFAULT_LOCAL_PASSWORD;
   if (!user) {
+    result.status = "env_issue";
     throw new Error("LANGBOT_E2E_LOGIN_USER is required so this setup can create/update the pipeline via backend API.");
   }
 
@@ -81,6 +93,13 @@ try {
     backend_token_check: auth.check,
   };
 
+  const wizard = await skipWizard({ backendUrl, token: auth.token });
+  result.wizard = wizard;
+  if (wizard.status !== "pass") {
+    result.status = "fail";
+    throw new Error(wizard.reason || "Failed to mark the local QA wizard as skipped.");
+  }
+
   const prepared = await ensureLocalAgentPipeline({
     backendUrl,
     token: auth.token,
@@ -99,6 +118,10 @@ try {
       LANGBOT_PIPELINE_NAME: result.pipeline_name || pipelineName,
       LANGBOT_LOCAL_AGENT_PIPELINE_URL: result.pipeline_url,
       LANGBOT_LOCAL_AGENT_PIPELINE_NAME: result.pipeline_name || pipelineName,
+      ...(result.selected_model_id ? {
+        LANGBOT_LOCAL_AGENT_MODEL_UUID: result.selected_model_id,
+        LANGBOT_E2E_MODEL_UUID: result.selected_model_id,
+      } : {}),
     });
     result.wrote_env = true;
   }
@@ -127,6 +150,21 @@ try {
 
 process.exit(result.status === "pass" ? 0 : result.status === "env_issue" ? 2 : 1);
 
+async function skipWizard({ backendUrl, token }) {
+  const response = await apiJson(backendUrl, "/api/v1/system/wizard/completed", {
+    method: "POST",
+    token,
+    body: { status: "skipped" },
+  });
+  const ok = response.status < 400 && response.json.code === 0;
+  return {
+    status: ok ? "pass" : "fail",
+    http_status: response.status,
+    code: response.json.code ?? null,
+    reason: ok ? "Wizard marked skipped for local QA." : response.json.msg || "Wizard status update failed.",
+  };
+}
+
 async function ensureLocalAgentPipeline({ backendUrl, token, pipelineName, runnerId }) {
   const [pipelineList, modelList] = await Promise.all([
     apiJson(backendUrl, "/api/v1/pipelines", { token }),
@@ -149,7 +187,19 @@ async function ensureLocalAgentPipeline({ backendUrl, token, pipelineName, runne
   }
 
   const models = modelList.json.data?.models || [];
-  const selectedModel = models.find((model) => model.uuid) || null;
+  const skippedModelIds = new Set(
+    String(env.LANGBOT_E2E_SKIP_MODEL_UUIDS || "")
+      .split(",")
+      .map((item) => item.trim())
+      .filter(Boolean),
+  );
+  const skippedModelNames = new Set(
+    String(env.LANGBOT_E2E_SKIP_MODEL_NAMES || "")
+      .split(",")
+      .map((item) => item.trim())
+      .filter(Boolean),
+  );
+  const spaceModels = models.filter((model) => isSpaceModel(model) && !skippedModelIds.has(model.uuid));
   const pipelines = pipelineList.json.data?.pipelines || [];
   let pipeline = pipelines.find((item) => item.name === pipelineName) || null;
   let created = false;
@@ -170,6 +220,7 @@ async function ensureLocalAgentPipeline({ backendUrl, token, pipelineName, runne
         reason: createdResponse.json.msg || "Failed to create pipeline.",
         create_status: createdResponse.status,
         model_count: models.length,
+        space_model_count: spaceModels.length,
       };
     }
     const pipelineId = createdResponse.json.data?.uuid || "";
@@ -183,6 +234,7 @@ async function ensureLocalAgentPipeline({ backendUrl, token, pipelineName, runne
       status: "fail",
       reason: "Pipeline was not created or resolved.",
       model_count: models.length,
+      space_model_count: spaceModels.length,
     };
   }
 
@@ -194,27 +246,37 @@ async function ensureLocalAgentPipeline({ backendUrl, token, pipelineName, runne
       get_status: loaded.status,
       pipeline_id: pipeline.uuid,
       model_count: models.length,
+      space_model_count: spaceModels.length,
     };
   }
   pipeline = loaded.json.data.pipeline;
 
   const config = pipeline.config && typeof pipeline.config === "object" ? pipeline.config : {};
   const ai = config.ai && typeof config.ai === "object" ? config.ai : {};
-  const runnerConfig = ai.runner_config && typeof ai.runner_config === "object" ? ai.runner_config : {};
+  const rawExistingLocalAgentConfig = ai["local-agent"] && typeof ai["local-agent"] === "object"
-  const rawExistingLocalAgentConfig = runnerConfig[runnerId] && typeof runnerConfig[runnerId] === "object"
+    ? ai["local-agent"]
-    ? runnerConfig[runnerId]
     : {};
   const existingLocalAgentConfig = rawExistingLocalAgentConfig;
   const existingModel = existingLocalAgentConfig.model && typeof existingLocalAgentConfig.model === "object"
     ? existingLocalAgentConfig.model
     : {};
   const requestedModelId = env.LANGBOT_LOCAL_AGENT_MODEL_UUID || env.LANGBOT_E2E_MODEL_UUID || "";
-  const selectedModelId = requestedModelId || existingModel.primary || selectedModel?.uuid || "";
+  const selected = await selectWorkingSpaceModel({
+    backendUrl,
+    token,
+    models,
+    skippedModelIds,
+    skippedModelNames,
+    requestedModelId,
+    existingModelId: existingModel.primary || "",
+  });
+  const selectedModelId = selected.selected_model_id || "";
   const localAgentConfig = {
     timeout: 300,
     prompt: [{ role: "system", content: "You are a helpful assistant." }],
     "remove-think": false,
     "knowledge-bases": [],
+    "box-session-id-template": "{launcher_type}_{launcher_id}",
     "retrieval-top-k": 5,
     "rerank-model": "",
     "rerank-top-k": 5,
@@ -227,9 +289,11 @@ async function ensureLocalAgentPipeline({ backendUrl, token, pipelineName, runne
     "context-keep-recent-tokens": 20000,
     "context-summary-tokens": 8000,
     ...existingLocalAgentConfig,
+    // Current backend truncation still reads this field directly.
+    "max-round": positiveInteger(existingLocalAgentConfig["max-round"], 10),
     model: {
       primary: selectedModelId,
-      fallbacks: requestedModelId ? [] : Array.isArray(existingModel.fallbacks) ? existingModel.fallbacks : [],
+      fallbacks: selected.fallback_model_ids || [],
     },
   };
   const updatedConfig = {
@@ -239,12 +303,10 @@ async function ensureLocalAgentPipeline({ backendUrl, token, pipelineName, runne
       runner: {
         ...(ai.runner && typeof ai.runner === "object" ? ai.runner : {}),
         id: runnerId,
+        runner: runnerId,
         "expire-time": 0,
       },
-      runner_config: {
+      "local-agent": localAgentConfig,
-        ...runnerConfig,
-        [runnerId]: localAgentConfig,
-      },
     },
   };
 
@@ -265,19 +327,31 @@ async function ensureLocalAgentPipeline({ backendUrl, token, pipelineName, runne
       update_status: updateResponse.status,
       pipeline_id: pipeline.uuid,
       model_count: models.length,
+      space_model_count: spaceModels.length,
+      scanned_space_model_count: selected.scanned_space_model_count,
+      tested_model_count: selected.tested_model_count,
+      model_tests: selected.model_tests,
       selected_model_id: selectedModelId,
+      selected_model_name: selected.selected_model_name,
+      fallback_model_ids: selected.fallback_model_ids,
     };
   }
 
   return {
     status: selectedModelId ? "pass" : "env_issue",
     reason: selectedModelId
-      ? "Local-agent pipeline is configured for Debug Chat."
+      ? `Local-agent pipeline is configured for Debug Chat with Space model ${selected.selected_model_name || selectedModelId} and ${selected.fallback_model_ids.length} fallback(s).`
-      : "Pipeline was created but no LLM model is configured in this LangBot instance.",
+      : selected.reason || "No working Space LLM model is configured in this LangBot instance.",
     pipeline_id: pipeline.uuid,
-    pipeline_name: pipeline.name,
+    pipeline_name: pipelineName,
     model_count: models.length,
+    space_model_count: spaceModels.length,
+    scanned_space_model_count: selected.scanned_space_model_count,
+    tested_model_count: selected.tested_model_count,
+    model_tests: selected.model_tests,
     selected_model_id: selectedModelId,
+    selected_model_name: selected.selected_model_name,
+    fallback_model_ids: selected.fallback_model_ids,
     created,
     updated: true,
   };
@@ -287,6 +361,229 @@ function isApiFailure(response) {
   return response.status >= 400 || (response.json.code !== undefined && response.json.code !== 0);
 }
 
+function isSpaceModel(model) {
+  const provider = model?.provider && typeof model.provider === "object" ? model.provider : {};
+  return model?.provider_uuid === SPACE_PROVIDER_UUID
+    || provider.uuid === SPACE_PROVIDER_UUID
+    || provider.requester === "space-chat-completions"
+    || provider.name === "LangBot Models";
+}
+
+async function selectWorkingSpaceModel({
+  backendUrl,
+  token,
+  models,
+  skippedModelIds,
+  skippedModelNames,
+  requestedModelId,
+  existingModelId,
+}) {
+  const modelTests = [];
+  const testLimit = positiveInteger(env.LANGBOT_E2E_MODEL_TEST_LIMIT, DEFAULT_MODEL_TEST_LIMIT);
+  const fallbackCount = positiveInteger(env.LANGBOT_E2E_MODEL_FALLBACK_COUNT, DEFAULT_MODEL_FALLBACK_COUNT);
+  const workingModels = [];
+  const spaceModels = rankModels(models.filter((model) => (
+    model.uuid
+      && isSpaceModel(model)
+      && !skippedModelIds.has(model.uuid)
+      && !skippedModelNames.has(model.name)
+  )));
+  const requestedModel = requestedModelId
+    ? spaceModels.find((model) => model.uuid === requestedModelId) || null
+    : null;
+  const existingModel = existingModelId
+    ? spaceModels.find((model) => model.uuid === existingModelId) || null
+    : null;
+  const candidates = uniqueCandidates([
+    ...(requestedModel ? [existingCandidate(requestedModel, "requested")] : []),
+    ...(existingModel ? [existingCandidate(existingModel, "existing-pipeline")] : []),
+    ...spaceModels.map((model) => existingCandidate(model, "configured-space")),
+  ]);
+
+  let scanResult = { status: "skipped", models: [], reason: "" };
+  if (env.LANGBOT_E2E_SCAN_SPACE_MODELS !== "false") {
+    scanResult = await scanSpaceModels({ backendUrl, token });
+    if (scanResult.status === "pass") {
+      const knownNames = new Set(spaceModels.map((model) => model.name));
+      candidates.push(...scanResult.models
+        .filter((model) => model.name && !knownNames.has(model.name) && !skippedModelNames.has(model.name))
+        .map((model) => scannedCandidate(model)));
+    }
+  }
+
+  const unique = uniqueCandidates(candidates);
+  for (const candidate of unique.slice(0, testLimit)) {
+    const test = await ensureAndTestModel({ backendUrl, token, candidate });
+    modelTests.push(test);
+    if (test.status === "pass" && test.model_uuid) {
+      workingModels.push(test);
+      if (workingModels.length >= fallbackCount + 1) break;
+    }
+  }
+
+  if (workingModels.length > 0) {
+    const [primary, ...fallbacks] = workingModels;
+    return {
+      status: "pass",
+      reason: "",
+      selected_model_id: primary.model_uuid,
+      selected_model_name: primary.model_name,
+      fallback_model_ids: fallbacks.map((model) => model.model_uuid),
+      scanned_space_model_count: scanResult.models.length,
+      tested_model_count: modelTests.length,
+      model_tests: modelTests,
+    };
+  }
+
+  const baseReason = unique.length === 0
+    ? scanResult.reason || "No Space LLM model candidates are available."
+    : `No working Space LLM model found after testing ${modelTests.length} candidate(s).`;
+  return {
+    status: "env_issue",
+    reason: requestedModelId && !requestedModel
+      ? `Requested Space LLM model ${requestedModelId} is missing or skipped; ${baseReason}`
+      : baseReason,
+    selected_model_id: "",
+    selected_model_name: "",
+    fallback_model_ids: [],
+    scanned_space_model_count: scanResult.models.length,
+    tested_model_count: modelTests.length,
+    model_tests: modelTests,
+  };
+}
+
+async function scanSpaceModels({ backendUrl, token }) {
+  const response = await apiJson(
+    backendUrl,
+    `/api/v1/provider/providers/${encodeURIComponent(SPACE_PROVIDER_UUID)}/scan-models?type=llm`,
+    { token },
+  );
+  if (isApiFailure(response)) {
+    return {
+      status: "env_issue",
+      models: [],
+      reason: safeReason(response.json.msg || response.json.message || "Failed to scan Space LLM models."),
+    };
+  }
+  return {
+    status: "pass",
+    models: response.json.data?.models || [],
+    reason: "",
+  };
+}
+
+async function ensureAndTestModel({ backendUrl, token, candidate }) {
+  let modelUuid = candidate.uuid || "";
+  let created = false;
+  if (!modelUuid) {
+    const create = await apiJson(backendUrl, "/api/v1/provider/models/llm", {
+      method: "POST",
+      token,
+      body: {
+        name: candidate.name,
+        provider_uuid: SPACE_PROVIDER_UUID,
+        abilities: candidate.abilities || [],
+        context_length: candidate.context_length ?? null,
+        extra_args: {},
+        prefered_ranking: positiveInteger(candidate.prefered_ranking, 0),
+      },
+    });
+    modelUuid = create.json.data?.uuid || "";
+    if (isApiFailure(create) || !modelUuid) {
+      return modelTestResult(candidate, {
+        status: "fail",
+        reason: safeReason(create.json.msg || "Failed to create scanned Space model."),
+        http_status: create.status,
+      });
+    }
+    created = true;
+  }
+
+  const test = await apiJson(backendUrl, `/api/v1/provider/models/llm/${encodeURIComponent(modelUuid)}/test`, {
+    method: "POST",
+    token,
+    body: { extra_args: {} },
+  });
+  const passed = !isApiFailure(test);
+  if (!passed && created) {
+    await apiJson(backendUrl, `/api/v1/provider/models/llm/${encodeURIComponent(modelUuid)}`, {
+      method: "DELETE",
+      token,
+    }).catch(() => {});
+  }
+  return modelTestResult(candidate, {
+    status: passed ? "pass" : "fail",
+    reason: passed ? "" : safeReason(test.json.msg || test.json.message || "Space model test failed."),
+    http_status: test.status,
+    model_uuid: modelUuid,
+    created,
+  });
+}
+
+function modelTestResult(candidate, details) {
+  return {
+    source: candidate.source,
+    model_uuid: details.model_uuid || candidate.uuid || "",
+    model_name: candidate.name,
+    status: details.status,
+    reason: details.reason || "",
+    http_status: details.http_status ?? null,
+    created: Boolean(details.created),
+  };
+}
+
+function existingCandidate(model, source) {
+  return {
+    source,
+    uuid: model.uuid,
+    name: model.name,
+    abilities: model.abilities || [],
+    context_length: model.context_length,
+    prefered_ranking: model.prefered_ranking,
+  };
+}
+
+function scannedCandidate(model) {
+  return {
+    source: "scanned-space",
+    uuid: "",
+    name: model.name || model.id,
+    abilities: model.abilities || [],
+    context_length: model.context_length,
+    prefered_ranking: model.prefered_ranking,
+  };
+}
+
+function uniqueCandidates(candidates) {
+  const seen = new Set();
+  const result = [];
+  for (const candidate of candidates) {
+    const key = candidate.uuid ? `uuid:${candidate.uuid}` : `name:${candidate.name}`;
+    if (!candidate.name || seen.has(key)) continue;
+    seen.add(key);
+    result.push(candidate);
+  }
+  return result;
+}
+
+function rankModels(models) {
+  return [...models].sort((left, right) => {
+    const leftRank = Number.isFinite(Number(left.prefered_ranking)) ? Number(left.prefered_ranking) : 9999;
+    const rightRank = Number.isFinite(Number(right.prefered_ranking)) ? Number(right.prefered_ranking) : 9999;
+    if (leftRank !== rightRank) return leftRank - rightRank;
+    return String(left.name || "").localeCompare(String(right.name || ""));
+  });
+}
+
+function positiveInteger(value, fallback) {
+  const parsed = Number(value);
+  return Number.isInteger(parsed) && parsed > 0 ? parsed : fallback;
+}
+
+function safeReason(value) {
+  return redact(String(value || "")).slice(0, 1000);
+}
+
 async function upsertEnvLocal(path, updates) {
   let text = "";
   try {

skills/scripts/e2e/fake-openai-provider.mjs

@@ -0,0 +1,496 @@
+#!/usr/bin/env node
+
+import { createServer } from "node:http";
+import { mkdir, writeFile } from "node:fs/promises";
+import { dirname, resolve } from "node:path";
+import { env, exit } from "node:process";
+
+const args = parseArgs(process.argv.slice(2));
+const host = args.host || env.LANGBOT_FAKE_PROVIDER_HOST || "127.0.0.1";
+const port = integer(args.port ?? env.LANGBOT_FAKE_PROVIDER_PORT, 0);
+const stateFile = args["state-file"] || env.LANGBOT_FAKE_PROVIDER_STATE_FILE || "";
+const modelName = env.LANGBOT_FAKE_PROVIDER_MODEL_NAME || "gpt-4o-mini";
+const config = {
+  response_text: env.LANGBOT_FAKE_PROVIDER_RESPONSE_TEXT || "OK",
+  first_token_delay_ms: integer(env.LANGBOT_FAKE_PROVIDER_FIRST_TOKEN_DELAY_MS, 25),
+  chunk_delay_ms: integer(env.LANGBOT_FAKE_PROVIDER_CHUNK_DELAY_MS, 10),
+  chunk_count: integer(env.LANGBOT_FAKE_PROVIDER_CHUNK_COUNT, 0),
+  fault_status: integer(env.LANGBOT_FAKE_PROVIDER_FAULT_STATUS, 500),
+  fail_first_n: integer(env.LANGBOT_FAKE_PROVIDER_FAIL_FIRST_N, 0),
+  fail_every_n: integer(env.LANGBOT_FAKE_PROVIDER_FAIL_EVERY_N, 0),
+  fail_after_first_chunk: bool(env.LANGBOT_FAKE_PROVIDER_FAIL_AFTER_FIRST_CHUNK, false),
+  dynamic_response: !/^(0|false|no|off)$/i.test(env.LANGBOT_FAKE_PROVIDER_DYNAMIC_RESPONSE || ""),
+  request_log_limit: integer(env.LANGBOT_FAKE_PROVIDER_REQUEST_LOG_LIMIT, 500),
+};
+
+let requestCount = 0;
+const recentRequests = [];
+
+const server = createServer(async (request, response) => {
+  const startedAt = Date.now();
+  const startedPerf = performance.now();
+  let requestRecord = null;
+  const url = new URL(request.url || "/", `http://${request.headers.host || `${host}:${port}`}`);
+  try {
+    if (request.method === "GET" && url.pathname === "/healthz") {
+      sendJson(response, 200, {
+        ok: true,
+        model: modelName,
+        config,
+        request_count: requestCount,
+        recent_request_count: recentRequests.length,
+      });
+      return;
+    }
+
+    if (request.method === "GET" && url.pathname === "/__qa/config") {
+      sendJson(response, 200, {
+        ok: true,
+        model: modelName,
+        config,
+        request_count: requestCount,
+        recent_requests: recentRequests,
+      });
+      return;
+    }
+
+    if (request.method === "POST" && url.pathname === "/__qa/config") {
+      const body = await readJson(request);
+      applyConfig(body.config && typeof body.config === "object" ? body.config : body);
+      if (body.reset_request_count !== false) resetRequestState();
+      sendJson(response, 200, {
+        ok: true,
+        model: modelName,
+        config,
+        request_count: requestCount,
+      });
+      return;
+    }
+
+    if (request.method === "POST" && url.pathname === "/__qa/reset") {
+      resetRequestState();
+      sendJson(response, 200, {
+        ok: true,
+        model: modelName,
+        config,
+        request_count: requestCount,
+      });
+      return;
+    }
+
+    if (request.method === "GET" && ["/models", "/v1/models"].includes(url.pathname)) {
+      sendJson(response, 200, {
+        object: "list",
+        data: [
+          {
+            id: modelName,
+            object: "model",
+            created: 1,
+            owned_by: "langbot-qa",
+            type: "llm",
+          },
+        ],
+      });
+      return;
+    }
+
+    if (request.method === "POST" && ["/chat/completions", "/v1/chat/completions"].includes(url.pathname)) {
+      requestCount += 1;
+      const body = await readJson(request);
+      const requestId = `chatcmpl-langbot-fake-${requestCount}`;
+      const shouldFail = requestCount <= config.fail_first_n
+        || (config.fail_every_n > 0 && requestCount % config.fail_every_n === 0);
+      const replyText = responseTextForBody(body);
+      requestRecord = recordRequest({
+        id: requestId,
+        request_number: requestCount,
+        path: url.pathname,
+        stream: Boolean(body.stream),
+        model: body.model || "",
+        message_count: Array.isArray(body.messages) ? body.messages.length : 0,
+        should_fail: shouldFail,
+        status: "running",
+        http_status: null,
+        expected_text: replyText,
+        response_text_preview: previewText(replyText),
+        started_at: new Date(startedAt).toISOString(),
+        started_epoch_ms: startedAt,
+        configured_first_token_delay_ms: config.first_token_delay_ms,
+        configured_chunk_delay_ms: config.chunk_delay_ms,
+        configured_chunk_count: config.chunk_count,
+      });
+
+      if (shouldFail) {
+        await sleep(config.first_token_delay_ms);
+        sendJson(response, config.fault_status, {
+          error: {
+            message: `LangBot fake provider injected HTTP ${config.fault_status}`,
+            type: "fake_provider_fault",
+            code: "fake_provider_fault",
+          },
+        });
+        finishRequestRecord(requestRecord, startedPerf, {
+          status: "http_fault",
+          http_status: config.fault_status,
+        });
+        return;
+      }
+
+      if (body.stream) {
+        await streamCompletion(response, {
+          requestId,
+          model: body.model || modelName,
+          content: replyText,
+          failAfterFirstChunk: config.fail_after_first_chunk,
+          requestRecord,
+          startedPerf,
+        });
+      } else {
+        await sleep(config.first_token_delay_ms + config.chunk_delay_ms);
+        sendJson(response, 200, completionPayload({
+          requestId,
+          model: body.model || modelName,
+          content: replyText,
+        }));
+        markRequestTiming(requestRecord, "first_chunk", startedPerf);
+        markRequestTiming(requestRecord, "first_content_chunk", startedPerf);
+        requestRecord.content_chunk_count = 1;
+        finishRequestRecord(requestRecord, startedPerf, {
+          status: "ok",
+          http_status: 200,
+        });
+      }
+      return;
+    }
+
+    sendJson(response, 404, {
+      error: {
+        message: `No fake provider route for ${request.method} ${url.pathname}`,
+        type: "not_found",
+      },
+    });
+  } catch (error) {
+    if (requestRecord) {
+      finishRequestRecord(requestRecord, startedPerf, {
+        status: "fake_provider_error",
+        http_status: 500,
+        error: error instanceof Error ? error.message : String(error),
+      });
+    }
+    sendJson(response, 500, {
+      error: {
+        message: error instanceof Error ? error.message : String(error),
+        type: "fake_provider_error",
+      },
+    });
+  } finally {
+    const durationMs = Date.now() - startedAt;
+    if (url.pathname !== "/healthz") {
+      console.log(JSON.stringify({
+        at: new Date().toISOString(),
+        method: request.method,
+        path: url.pathname,
+        duration_ms: durationMs,
+      }));
+    }
+  }
+});
+
+server.listen(port, host, async () => {
+  const address = server.address();
+  const selectedPort = typeof address === "object" && address ? address.port : port;
+  const url = `http://${host}:${selectedPort}`;
+  const state = {
+    status: "ready",
+    pid: process.pid,
+    url,
+    base_url: `${url}/v1`,
+    model: modelName,
+    started_at: new Date().toISOString(),
+  };
+  if (stateFile) {
+    const path = resolve(stateFile);
+    await mkdir(dirname(path), { recursive: true });
+    await writeFile(path, `${JSON.stringify(state, null, 2)}\n`, "utf8");
+  }
+  console.log(JSON.stringify(state));
+});
+
+server.on("error", (error) => {
+  console.error(JSON.stringify({
+    status: "error",
+    reason: error instanceof Error ? error.message : String(error),
+  }));
+  exit(1);
+});
+
+process.on("SIGTERM", () => {
+  server.close(() => exit(0));
+});
+
+function parseArgs(argv) {
+  const result = {};
+  for (const item of argv) {
+    const match = item.match(/^--([^=]+)(?:=(.*))?$/);
+    if (!match) continue;
+    result[match[1]] = match[2] ?? "1";
+  }
+  return result;
+}
+
+function integer(value, fallback) {
+  const parsed = Number.parseInt(String(value ?? ""), 10);
+  return Number.isFinite(parsed) && parsed >= 0 ? parsed : fallback;
+}
+
+function bool(value, fallback) {
+  if (value === undefined || value === "") return fallback;
+  if (/^(1|true|yes|on)$/i.test(String(value))) return true;
+  if (/^(0|false|no|off)$/i.test(String(value))) return false;
+  return fallback;
+}
+
+function sleep(ms) {
+  return new Promise((resolve) => setTimeout(resolve, Math.max(0, ms)));
+}
+
+async function readJson(request) {
+  let text = "";
+  for await (const chunk of request) text += chunk.toString();
+  if (!text) return {};
+  return JSON.parse(text);
+}
+
+function sendJson(response, status, payload) {
+  const text = `${JSON.stringify(payload)}\n`;
+  response.writeHead(status, {
+    "content-type": "application/json",
+    "content-length": Buffer.byteLength(text),
+  });
+  response.end(text);
+}
+
+function completionPayload({ requestId, model, content }) {
+  const completionTokens = tokenEstimate(content);
+  return {
+    id: requestId,
+    object: "chat.completion",
+    created: Math.floor(Date.now() / 1000),
+    model,
+    choices: [
+      {
+        index: 0,
+        message: {
+          role: "assistant",
+          content,
+        },
+        finish_reason: "stop",
+      },
+    ],
+    usage: {
+      prompt_tokens: 8,
+      completion_tokens: completionTokens,
+      total_tokens: 8 + completionTokens,
+    },
+  };
+}
+
+async function streamCompletion(response, {
+  requestId,
+  model,
+  content,
+  failAfterFirstChunk: failMidStream,
+  requestRecord,
+  startedPerf,
+}) {
+  response.writeHead(200, {
+    "content-type": "text/event-stream; charset=utf-8",
+    "cache-control": "no-cache",
+    "connection": "keep-alive",
+  });
+
+  await sleep(config.first_token_delay_ms);
+  markRequestTiming(requestRecord, "first_chunk", startedPerf);
+  writeSse(response, {
+    id: requestId,
+    object: "chat.completion.chunk",
+    created: Math.floor(Date.now() / 1000),
+    model,
+    choices: [{ index: 0, delta: { role: "assistant" }, finish_reason: null }],
+  });
+
+  const chunks = splitContent(content);
+  for (let index = 0; index < chunks.length; index += 1) {
+    await sleep(config.chunk_delay_ms);
+    if (index === 0) markRequestTiming(requestRecord, "first_content_chunk", startedPerf);
+    requestRecord.content_chunk_count = (requestRecord.content_chunk_count || 0) + 1;
+    writeSse(response, {
+      id: requestId,
+      object: "chat.completion.chunk",
+      created: Math.floor(Date.now() / 1000),
+      model,
+      choices: [{ index: 0, delta: { content: chunks[index] }, finish_reason: null }],
+    });
+    if (failMidStream && index === 0) {
+      finishRequestRecord(requestRecord, startedPerf, {
+        status: "mid_stream_disconnect",
+        http_status: 200,
+      });
+      response.destroy(new Error("LangBot fake provider injected mid-stream disconnect"));
+      return;
+    }
+  }
+
+  await sleep(config.chunk_delay_ms);
+  const completionTokens = tokenEstimate(content);
+  writeSse(response, {
+    id: requestId,
+    object: "chat.completion.chunk",
+    created: Math.floor(Date.now() / 1000),
+    model,
+    choices: [{ index: 0, delta: {}, finish_reason: "stop" }],
+    usage: {
+      prompt_tokens: 8,
+      completion_tokens: completionTokens,
+      total_tokens: 8 + completionTokens,
+    },
+  });
+  response.write("data: [DONE]\n\n");
+  response.end();
+  finishRequestRecord(requestRecord, startedPerf, {
+    status: "ok",
+    http_status: 200,
+  });
+}
+
+function writeSse(response, payload) {
+  response.write(`data: ${JSON.stringify(payload)}\n\n`);
+}
+
+function splitContent(content) {
+  const text = String(content);
+  const requested = config.chunk_count;
+  if (requested <= 1 || text.length <= 1) return [text];
+  const chunkSize = Math.max(1, Math.ceil(text.length / requested));
+  const chunks = [];
+  for (let index = 0; index < text.length; index += chunkSize) {
+    chunks.push(text.slice(index, index + chunkSize));
+  }
+  return chunks;
+}
+
+function tokenEstimate(content) {
+  return Math.max(1, Math.ceil(String(content || "").length / 4));
+}
+
+function responseTextForBody(body) {
+  if (!config.dynamic_response) {
+    return config.response_text;
+  }
+  const messages = Array.isArray(body.messages) ? body.messages : [];
+  const lastUser = [...messages].reverse().find((message) => message?.role === "user");
+  const text = flattenContent(lastUser?.content || "");
+  const quoted = text.match(/["'“”](.{1,80}?)["'“”]/);
+  if (quoted?.[1]) return quoted[1].trim();
+  const exact = text.match(/(?:reply|回复|输出|return)\s+(?:exactly\s+)?([A-Za-z0-9_.:@-]{1,80})/i);
+  if (exact?.[1]) return exact[1].trim().replace(/[。.!?]+$/, "");
+  const only = text.match(/只回复\s*([A-Za-z0-9_.:@-]{1,80})/);
+  if (only?.[1]) return only[1].trim().replace(/[。.!?]+$/, "");
+  return config.response_text;
+}
+
+function flattenContent(content) {
+  if (typeof content === "string") return content;
+  if (Array.isArray(content)) {
+    return content
+      .map((item) => {
+        if (typeof item === "string") return item;
+        if (item && typeof item === "object") return item.text || "";
+        return "";
+      })
+      .join("\n");
+  }
+  return "";
+}
+
+function recordRequest(entry) {
+  const item = {
+    ...entry,
+    at: new Date().toISOString(),
+    finished_at: null,
+    finished_epoch_ms: null,
+    duration_ms: null,
+    first_chunk_at: null,
+    first_chunk_epoch_ms: null,
+    first_chunk_ms: null,
+    first_content_chunk_at: null,
+    first_content_chunk_epoch_ms: null,
+    first_content_chunk_ms: null,
+    content_chunk_count: 0,
+  };
+  recentRequests.push(item);
+  while (recentRequests.length > config.request_log_limit) recentRequests.shift();
+  return item;
+}
+
+function markRequestTiming(entry, key, startedPerf) {
+  if (!entry || entry[`${key}_at`]) return;
+  const now = Date.now();
+  entry[`${key}_at`] = new Date(now).toISOString();
+  entry[`${key}_epoch_ms`] = now;
+  entry[`${key}_ms`] = rounded(performance.now() - startedPerf);
+}
+
+function finishRequestRecord(entry, startedPerf, updates = {}) {
+  if (!entry || entry.finished_at) return;
+  const now = Date.now();
+  Object.assign(entry, updates);
+  entry.finished_at = new Date(now).toISOString();
+  entry.finished_epoch_ms = now;
+  entry.duration_ms = rounded(performance.now() - startedPerf);
+}
+
+function rounded(value) {
+  return Number(value.toFixed(3));
+}
+
+function previewText(value) {
+  return String(value || "").slice(0, 120);
+}
+
+function resetRequestState() {
+  requestCount = 0;
+  recentRequests.length = 0;
+}
+
+function applyConfig(updates) {
+  if (!updates || typeof updates !== "object") return;
+  assignString(updates, "response_text");
+  assignNonNegativeInteger(updates, "first_token_delay_ms");
+  assignNonNegativeInteger(updates, "chunk_delay_ms");
+  assignNonNegativeInteger(updates, "chunk_count");
+  assignNonNegativeInteger(updates, "fail_first_n");
+  assignNonNegativeInteger(updates, "fail_every_n");
+  assignNonNegativeInteger(updates, "request_log_limit");
+  if (updates.fault_status !== undefined) {
+    const parsed = Number.parseInt(String(updates.fault_status), 10);
+    if (Number.isInteger(parsed) && parsed >= 400 && parsed <= 599) config.fault_status = parsed;
+  }
+  assignBoolean(updates, "fail_after_first_chunk");
+  assignBoolean(updates, "dynamic_response");
+}
+
+function assignString(updates, key) {
+  if (updates[key] !== undefined) config[key] = String(updates[key]);
+}
+
+function assignNonNegativeInteger(updates, key) {
+  if (updates[key] === undefined) return;
+  const parsed = Number.parseInt(String(updates[key]), 10);
+  if (Number.isInteger(parsed) && parsed >= 0) config[key] = parsed;
+}
+
+function assignBoolean(updates, key) {
+  if (updates[key] === undefined) return;
+  config[key] = bool(updates[key], config[key]);
+}

skills/scripts/e2e/lib/langbot-e2e.mjs

@@ -72,6 +72,7 @@ export async function writeResult(paths, result) {
 }
 
 export async function loadEnvFiles(paths = ["skills/.env", "skills/.env.local"]) {
+  const processEnvKeys = new Set(Object.keys(env));
   for (const path of paths) {
     let text = "";
     try {
@@ -86,7 +87,7 @@ export async function loadEnvFiles(paths = ["skills/.env", "skills/.env.local"])
       if (equals <= 0) continue;
       const key = trimmed.slice(0, equals).trim();
       const value = trimmed.slice(equals + 1).trim().replace(/^["']|["']$/g, "");
-      if (!(key in env)) env[key] = value;
+      if (!processEnvKeys.has(key)) env[key] = value;
     }
   }
 }

skills/scripts/e2e/pipeline-debug-chat.mjs

@@ -54,6 +54,7 @@ const debugChatSessionType = env.LANGBOT_E2E_DEBUG_CHAT_SESSION_TYPE || "person"
 const pipelineConfigDiagnosticPath = resolve(paths.evidenceDir, "pipeline-config-diagnostic.json");
 const debugChatResetDiagnosticPath = resolve(paths.evidenceDir, "debug-chat-reset-diagnostic.json");
 const pipelineConfigRestoreDiagnosticPath = resolve(paths.evidenceDir, "pipeline-config-restore-diagnostic.json");
+const metricsPath = resolve(paths.evidenceDir, "metrics.json");
 const startedAt = new Date();
 
 let browser;
@@ -80,10 +81,11 @@ let result = {
     console_log: paths.consoleLog,
     network_log: paths.networkLog,
     screenshot: paths.screenshot,
+    metrics_json: metricsPath,
     automation_result_json: paths.automationResultJson,
     result_json: paths.resultJson,
   },
-  evidence_collected: ["ui", "screenshot", "console", "network"],
+  evidence_collected: ["ui", "screenshot", "console", "network", "metrics"],
 };
 
 function boolFromEnv(value, defaultValue) {
@@ -103,6 +105,29 @@ function parseJsonEnv(key, fallback) {
   }
 }
 
+function positiveNumberEnv(key, fallback) {
+  const value = Number(env[key] || "");
+  return Number.isFinite(value) && value >= 0 ? value : fallback;
+}
+
+function percentile(values, percentileValue) {
+  if (values.length === 0) return 0;
+  const sorted = [...values].sort((a, b) => a - b);
+  const index = Math.min(sorted.length - 1, Math.ceil((percentileValue / 100) * sorted.length) - 1);
+  return Number(sorted[index].toFixed(3));
+}
+
+function stats(values) {
+  if (values.length === 0) return { min: 0, p50: 0, p95: 0, p99: 0, max: 0 };
+  return {
+    min: Number(Math.min(...values).toFixed(3)),
+    p50: percentile(values, 50),
+    p95: percentile(values, 95),
+    p99: percentile(values, 99),
+    max: Number(Math.max(...values).toFixed(3)),
+  };
+}
+
 function promptStepsFromEnv() {
   const rawSteps = parseJsonEnv("LANGBOT_E2E_PROMPTS_JSON", null);
   if (rawSteps === null) {
@@ -658,6 +683,7 @@ try {
       } else {
         for (let index = 0; index < promptSteps.length; index += 1) {
           const step = promptSteps[index];
+          const promptStartedAt = Date.now();
           const chatResult = await runDebugChatPrompt(page, {
             prompt: step.prompt,
             expectedText: step.expectedText,
@@ -665,11 +691,13 @@ try {
             imagePath: index === 0 ? imagePath : "",
             failureSignals: failureSignals.length > 0 ? failureSignals : undefined,
           });
+          const promptDurationMs = Date.now() - promptStartedAt;
           result.chat_results.push({
             index,
             expected_text: step.expectedText,
             status: chatResult.status,
             reason: chatResult.reason,
+            response_duration_ms: promptDurationMs,
             min_expected_count: chatResult.min_expected_count,
             final_count: chatResult.final_count,
             before_assistant_expected_count: chatResult.before_assistant_expected_count,
@@ -714,6 +742,56 @@ try {
   const finishedAt = new Date();
   result.finished_at = finishedAt.toISOString();
   result.finished_at_local = localIsoWithOffset(finishedAt);
+  result.duration_ms = finishedAt.getTime() - startedAt.getTime();
+  const responseDurations = result.chat_results
+    .map((item) => item.response_duration_ms)
+    .filter((value) => Number.isFinite(value));
+  const passedPrompts = result.chat_results.filter((item) => item.status === "pass").length;
+  const attemptedPrompts = result.chat_results.length;
+  const errorRate = attemptedPrompts === 0 ? 1 : Number(((attemptedPrompts - passedPrompts) / attemptedPrompts).toFixed(4));
+  const responseStats = stats(responseDurations);
+  const responseP95BudgetMs = positiveNumberEnv(
+    "LANGBOT_E2E_DEBUG_CHAT_RESPONSE_P95_MS",
+    positiveNumberEnv("LANGBOT_DEBUG_CHAT_RESPONSE_P95_MS", safeResponseTimeoutMs),
+  );
+  const maxErrorRate = positiveNumberEnv("LANGBOT_E2E_DEBUG_CHAT_MAX_ERROR_RATE", 0);
+  const metrics = {
+    probe: caseId,
+    url: result.url,
+    prompt_count: result.prompt_count,
+    attempted_prompt_count: attemptedPrompts,
+    passed_prompt_count: passedPrompts,
+    error_rate: errorRate,
+    response_duration_ms: responseStats,
+    total_duration_ms: result.duration_ms,
+    chat_results: result.chat_results,
+  };
+  result.metrics_summary = {
+    prompt_count: metrics.prompt_count,
+    attempted_prompt_count: metrics.attempted_prompt_count,
+    passed_prompt_count: metrics.passed_prompt_count,
+    error_rate: metrics.error_rate,
+    response_p50_ms: metrics.response_duration_ms.p50,
+    response_p95_ms: metrics.response_duration_ms.p95,
+    total_duration_ms: metrics.total_duration_ms,
+  };
+  result.thresholds_summary = {
+    response_p95_ms: {
+      actual: metrics.response_duration_ms.p95,
+      max: responseP95BudgetMs,
+      pass: attemptedPrompts > 0 && metrics.response_duration_ms.p95 <= responseP95BudgetMs,
+    },
+    error_rate: {
+      actual: metrics.error_rate,
+      max: maxErrorRate,
+      pass: metrics.error_rate <= maxErrorRate,
+    },
+  };
+  await writeFile(metricsPath, `${JSON.stringify(metrics, null, 2)}\n`, "utf8");
+  if (result.status === "pass" && !Object.values(result.thresholds_summary).every((item) => item.pass)) {
+    result.status = "fail";
+    result.reason = "Debug Chat performance breached response latency or error-rate thresholds.";
+  }
   const existingEvidence = {};
   for (const [key, value] of Object.entries(result.evidence)) {
     if (typeof value !== "string") continue;

skills/skills.index.json

@@ -130,6 +130,7 @@
         "references/local-agent-runner.md",
         "references/mcp-stdio-testing.md",
         "references/model-provider-testing.md",
+        "references/performance-reliability-testing.md",
         "references/pipeline-debug-chat.md",
         "references/plugin-e2e-smoke.md",
         "references/sandbox-skill-authoring.md",
@@ -150,6 +151,16 @@
         "agent-runner-release-preflight",
         "agent-runner-runtime-chaos",
         "dify-agent-debug-chat",
+        "langbot-fake-provider-debug-chat-cross-pipeline-isolation",
+        "langbot-fake-provider-debug-chat-fault-recovery",
+        "langbot-fake-provider-debug-chat-load",
+        "langbot-fake-provider-debug-chat-slow-load",
+        "langbot-fault-taxonomy-contract",
+        "langbot-live-backend-latency",
+        "langbot-live-backend-log-health",
+        "langbot-live-control-plane-api",
+        "langbot-overhead-accounting-contract",
+        "langbot-space-debug-chat-concurrency-smoke",
         "langrag-kb-retrieve",
         "langrag-parser-golden-e2e",
         "langrag-sentinel-kb-discover",
@@ -165,6 +176,7 @@
         "mcp-stdio-register",
         "mcp-stdio-tool-call",
         "pipeline-debug-chat",
+        "pipeline-debug-chat-performance",
         "plugin-e2e-smoke",
         "provider-deepseek",
         "qa-plugin-smoke-live-install",
@@ -486,6 +498,316 @@
             "backend_log"
           ]
         },
+        {
+          "id": "langbot-fake-provider-debug-chat-cross-pipeline-isolation",
+          "title": "LangBot Debug Chat fake-provider cross-pipeline isolation probe",
+          "mode": "probe",
+          "area": "reliability",
+          "type": "reliability",
+          "priority": "p1",
+          "risk": "high",
+          "ci_eligible": false,
+          "tags": [
+            "reliability",
+            "debug-chat",
+            "websocket",
+            "fake-provider",
+            "isolation",
+            "concurrency",
+            "metrics"
+          ],
+          "automation": "skills/langbot-testing/probes/langbot-debug-chat-cross-pipeline-isolation.mjs",
+          "setup_automation": [
+            "node:scripts/e2e/ensure-fake-provider-cross-pipelines.mjs --write-env"
+          ],
+          "setup_provides_env": [
+            "LANGBOT_FAKE_PROVIDER_URL",
+            "LANGBOT_FAKE_PROVIDER_BASE_URL",
+            "LANGBOT_FAKE_PROVIDER_PID",
+            "LANGBOT_FAKE_PROVIDER_PIPELINE_A_URL",
+            "LANGBOT_FAKE_PROVIDER_PIPELINE_A_NAME",
+            "LANGBOT_FAKE_PROVIDER_PIPELINE_B_URL",
+            "LANGBOT_FAKE_PROVIDER_PIPELINE_B_NAME"
+          ],
+          "evidence_required": [
+            "metrics",
+            "network",
+            "api_diagnostic",
+            "filesystem"
+          ]
+        },
+        {
+          "id": "langbot-fake-provider-debug-chat-fault-recovery",
+          "title": "LangBot Debug Chat fake-provider fault recovery probe",
+          "mode": "probe",
+          "area": "reliability",
+          "type": "chaos",
+          "priority": "p1",
+          "risk": "high",
+          "ci_eligible": false,
+          "tags": [
+            "reliability",
+            "chaos",
+            "debug-chat",
+            "websocket",
+            "fake-provider",
+            "fault-injection",
+            "metrics"
+          ],
+          "automation": "skills/langbot-testing/probes/langbot-debug-chat-concurrency.mjs",
+          "setup_automation": [
+            "node:scripts/e2e/ensure-fake-provider-pipeline.mjs --write-env"
+          ],
+          "setup_provides_env": [
+            "LANGBOT_FAKE_PROVIDER_URL",
+            "LANGBOT_FAKE_PROVIDER_BASE_URL",
+            "LANGBOT_FAKE_PROVIDER_PID",
+            "LANGBOT_FAKE_PROVIDER_PROVIDER_UUID",
+            "LANGBOT_FAKE_PROVIDER_MODEL_UUID",
+            "LANGBOT_FAKE_PROVIDER_PIPELINE_URL",
+            "LANGBOT_FAKE_PROVIDER_PIPELINE_NAME"
+          ],
+          "evidence_required": [
+            "metrics",
+            "network",
+            "api_diagnostic",
+            "filesystem"
+          ]
+        },
+        {
+          "id": "langbot-fake-provider-debug-chat-load",
+          "title": "LangBot Debug Chat controlled fake-provider load probe",
+          "mode": "probe",
+          "area": "performance",
+          "type": "performance",
+          "priority": "p1",
+          "risk": "medium",
+          "ci_eligible": false,
+          "tags": [
+            "performance",
+            "debug-chat",
+            "websocket",
+            "fake-provider",
+            "load",
+            "metrics"
+          ],
+          "automation": "skills/langbot-testing/probes/langbot-debug-chat-concurrency.mjs",
+          "setup_automation": [
+            "node:scripts/e2e/ensure-fake-provider-pipeline.mjs --write-env"
+          ],
+          "setup_provides_env": [
+            "LANGBOT_FAKE_PROVIDER_URL",
+            "LANGBOT_FAKE_PROVIDER_BASE_URL",
+            "LANGBOT_FAKE_PROVIDER_PID",
+            "LANGBOT_FAKE_PROVIDER_PROVIDER_UUID",
+            "LANGBOT_FAKE_PROVIDER_MODEL_UUID",
+            "LANGBOT_FAKE_PROVIDER_PIPELINE_URL",
+            "LANGBOT_FAKE_PROVIDER_PIPELINE_NAME"
+          ],
+          "evidence_required": [
+            "metrics",
+            "network",
+            "api_diagnostic",
+            "filesystem"
+          ]
+        },
+        {
+          "id": "langbot-fake-provider-debug-chat-slow-load",
+          "title": "LangBot Debug Chat slow fake-provider load probe",
+          "mode": "probe",
+          "area": "performance",
+          "type": "performance",
+          "priority": "p1",
+          "risk": "medium",
+          "ci_eligible": false,
+          "tags": [
+            "performance",
+            "debug-chat",
+            "websocket",
+            "fake-provider",
+            "slow-provider",
+            "load",
+            "metrics"
+          ],
+          "automation": "skills/langbot-testing/probes/langbot-debug-chat-concurrency.mjs",
+          "setup_automation": [
+            "node:scripts/e2e/ensure-fake-provider-pipeline.mjs --write-env"
+          ],
+          "setup_provides_env": [
+            "LANGBOT_FAKE_PROVIDER_URL",
+            "LANGBOT_FAKE_PROVIDER_BASE_URL",
+            "LANGBOT_FAKE_PROVIDER_PID",
+            "LANGBOT_FAKE_PROVIDER_PROVIDER_UUID",
+            "LANGBOT_FAKE_PROVIDER_MODEL_UUID",
+            "LANGBOT_FAKE_PROVIDER_PIPELINE_URL",
+            "LANGBOT_FAKE_PROVIDER_PIPELINE_NAME"
+          ],
+          "evidence_required": [
+            "metrics",
+            "network",
+            "api_diagnostic",
+            "filesystem"
+          ]
+        },
+        {
+          "id": "langbot-fault-taxonomy-contract",
+          "title": "LangBot fault taxonomy and cleanup contract",
+          "mode": "probe",
+          "area": "reliability",
+          "type": "chaos",
+          "priority": "p1",
+          "risk": "medium",
+          "ci_eligible": true,
+          "tags": [
+            "reliability",
+            "chaos",
+            "contract",
+            "synthetic"
+          ],
+          "automation": "skills/langbot-testing/probes/langbot-fault-taxonomy-contract.mjs",
+          "setup_automation": [],
+          "setup_provides_env": [],
+          "evidence_required": [
+            "metrics",
+            "filesystem"
+          ]
+        },
+        {
+          "id": "langbot-live-backend-latency",
+          "title": "LangBot live backend basic latency probe",
+          "mode": "probe",
+          "area": "performance",
+          "type": "performance",
+          "priority": "p1",
+          "risk": "medium",
+          "ci_eligible": false,
+          "tags": [
+            "performance",
+            "live-backend",
+            "latency",
+            "metrics"
+          ],
+          "automation": "skills/langbot-testing/probes/langbot-live-backend-latency.mjs",
+          "setup_automation": [],
+          "setup_provides_env": [],
+          "evidence_required": [
+            "metrics",
+            "network",
+            "api_diagnostic",
+            "filesystem"
+          ]
+        },
+        {
+          "id": "langbot-live-backend-log-health",
+          "title": "LangBot live backend log health probe",
+          "mode": "probe",
+          "area": "reliability",
+          "type": "reliability",
+          "priority": "p1",
+          "risk": "medium",
+          "ci_eligible": false,
+          "tags": [
+            "reliability",
+            "live-backend",
+            "backend-log",
+            "metrics"
+          ],
+          "automation": "skills/langbot-testing/probes/langbot-live-backend-log-health.mjs",
+          "setup_automation": [],
+          "setup_provides_env": [],
+          "evidence_required": [
+            "metrics",
+            "backend_log",
+            "filesystem"
+          ]
+        },
+        {
+          "id": "langbot-live-control-plane-api",
+          "title": "LangBot live control-plane API probe",
+          "mode": "probe",
+          "area": "performance",
+          "type": "performance",
+          "priority": "p1",
+          "risk": "medium",
+          "ci_eligible": false,
+          "tags": [
+            "performance",
+            "reliability",
+            "live-backend",
+            "control-plane",
+            "metrics"
+          ],
+          "automation": "skills/langbot-testing/probes/langbot-live-control-plane-api.mjs",
+          "setup_automation": [],
+          "setup_provides_env": [],
+          "evidence_required": [
+            "metrics",
+            "network",
+            "api_diagnostic",
+            "filesystem"
+          ]
+        },
+        {
+          "id": "langbot-overhead-accounting-contract",
+          "title": "LangBot overhead accounting metrics contract",
+          "mode": "probe",
+          "area": "performance",
+          "type": "performance",
+          "priority": "p1",
+          "risk": "medium",
+          "ci_eligible": true,
+          "tags": [
+            "performance",
+            "metrics",
+            "contract",
+            "synthetic"
+          ],
+          "automation": "skills/langbot-testing/probes/langbot-overhead-accounting-contract.mjs",
+          "setup_automation": [],
+          "setup_provides_env": [],
+          "evidence_required": [
+            "metrics",
+            "resource_log",
+            "filesystem"
+          ]
+        },
+        {
+          "id": "langbot-space-debug-chat-concurrency-smoke",
+          "title": "LangBot Debug Chat real Space-provider concurrency smoke",
+          "mode": "probe",
+          "area": "performance",
+          "type": "performance",
+          "priority": "p1",
+          "risk": "high",
+          "ci_eligible": false,
+          "tags": [
+            "performance",
+            "debug-chat",
+            "websocket",
+            "space",
+            "live-provider",
+            "smoke",
+            "metrics"
+          ],
+          "automation": "skills/langbot-testing/probes/langbot-debug-chat-concurrency.mjs",
+          "setup_automation": [
+            "node:scripts/e2e/ensure-local-agent-pipeline.mjs --write-env"
+          ],
+          "setup_provides_env": [
+            "LANGBOT_PIPELINE_URL",
+            "LANGBOT_PIPELINE_NAME",
+            "LANGBOT_LOCAL_AGENT_PIPELINE_URL",
+            "LANGBOT_LOCAL_AGENT_PIPELINE_NAME",
+            "LANGBOT_LOCAL_AGENT_MODEL_UUID",
+            "LANGBOT_E2E_MODEL_UUID"
+          ],
+          "evidence_required": [
+            "metrics",
+            "network",
+            "api_diagnostic",
+            "filesystem"
+          ]
+        },
         {
           "id": "langrag-kb-retrieve",
           "title": "LangRAG knowledge base ingests and retrieves a sentinel document",
@@ -911,6 +1233,38 @@
             "backend_log"
           ]
         },
+        {
+          "id": "pipeline-debug-chat-performance",
+          "title": "Pipeline Debug Chat user-path performance probe",
+          "mode": "agent-browser",
+          "area": "pipeline",
+          "type": "performance",
+          "priority": "p1",
+          "risk": "medium",
+          "ci_eligible": false,
+          "tags": [
+            "performance",
+            "pipeline",
+            "debug-chat",
+            "user-path",
+            "metrics"
+          ],
+          "automation": "scripts/e2e/pipeline-debug-chat.mjs",
+          "setup_automation": [
+            "node:scripts/e2e/ensure-local-agent-pipeline.mjs --write-env"
+          ],
+          "setup_provides_env": [
+            "LANGBOT_PIPELINE_URL",
+            "LANGBOT_PIPELINE_NAME"
+          ],
+          "evidence_required": [
+            "ui",
+            "screenshot",
+            "console",
+            "network",
+            "metrics"
+          ]
+        },
         {
           "id": "plugin-e2e-smoke",
           "title": "Plugin system installs a local plugin and exposes tool/page APIs",
@@ -1059,6 +1413,12 @@
       "suites": [
         "agent-runner-release-gate",
         "core-smoke",
+        "langbot-debug-chat-isolation-gate",
+        "langbot-debug-chat-load-gate",
+        "langbot-live-backend-gate",
+        "langbot-performance-contract-gate",
+        "langbot-performance-reliability-gate",
+        "langbot-user-path-performance-gate",
         "local-agent-gate"
       ],
       "suite_summaries": [
@@ -1121,6 +1481,113 @@
             "local-agent-basic-debug-chat"
           ]
         },
+        {
+          "id": "langbot-debug-chat-isolation-gate",
+          "title": "LangBot Debug Chat isolation gate",
+          "description": "Manual/non-required cross-pipeline Debug Chat isolation gate. Current releases may fail this gate because of product bug #2286; use it as regression evidence after the routing fix lands.",
+          "type": "reliability",
+          "priority": "p1",
+          "tags": [
+            "reliability",
+            "debug-chat",
+            "websocket",
+            "isolation",
+            "concurrency"
+          ],
+          "cases": [
+            "langbot-fake-provider-debug-chat-cross-pipeline-isolation"
+          ]
+        },
+        {
+          "id": "langbot-debug-chat-load-gate",
+          "title": "LangBot Debug Chat load gate",
+          "description": "Manual/non-required message-path load checks for Pipeline Debug Chat: controlled fake-provider baseline, slow-provider and fault-recovery profiles, plus optional real Space-provider smoke. Cross-pipeline isolation is split into langbot-debug-chat-isolation-gate because current releases may fail it due to product bug #2286.",
+          "type": "performance",
+          "priority": "p1",
+          "tags": [
+            "performance",
+            "debug-chat",
+            "websocket",
+            "load"
+          ],
+          "cases": [
+            "langbot-fake-provider-debug-chat-load",
+            "langbot-fake-provider-debug-chat-slow-load",
+            "langbot-fake-provider-debug-chat-fault-recovery",
+            "langbot-space-debug-chat-concurrency-smoke"
+          ]
+        },
+        {
+          "id": "langbot-live-backend-gate",
+          "title": "LangBot live backend reliability gate",
+          "description": "Live backend control-plane responsiveness and runtime log health checks for a locally running LangBot instance.",
+          "type": "reliability",
+          "priority": "p1",
+          "tags": [
+            "performance",
+            "reliability",
+            "live-backend",
+            "metrics"
+          ],
+          "cases": [
+            "langbot-live-backend-latency",
+            "langbot-live-control-plane-api",
+            "langbot-live-backend-log-health"
+          ]
+        },
+        {
+          "id": "langbot-performance-contract-gate",
+          "title": "LangBot performance contract gate",
+          "description": "Fast synthetic contract checks for performance metric accounting and non-destructive reliability fault taxonomy.",
+          "type": "contract",
+          "priority": "p1",
+          "tags": [
+            "performance",
+            "reliability",
+            "contract",
+            "metrics"
+          ],
+          "cases": [
+            "langbot-overhead-accounting-contract",
+            "langbot-fault-taxonomy-contract"
+          ]
+        },
+        {
+          "id": "langbot-performance-reliability-gate",
+          "title": "LangBot performance and reliability starter gate",
+          "description": "Starter gate for LangBot performance accounting, live backend control-plane latency, and non-destructive fault taxonomy checks.",
+          "type": "reliability",
+          "priority": "p1",
+          "tags": [
+            "performance",
+            "reliability",
+            "metrics",
+            "chaos"
+          ],
+          "cases": [
+            "langbot-overhead-accounting-contract",
+            "langbot-fault-taxonomy-contract",
+            "langbot-live-backend-latency",
+            "langbot-live-control-plane-api",
+            "langbot-live-backend-log-health"
+          ]
+        },
+        {
+          "id": "langbot-user-path-performance-gate",
+          "title": "LangBot user-path performance gate",
+          "description": "Browser-visible performance checks for user-facing LangBot paths such as Pipeline Debug Chat.",
+          "type": "performance",
+          "priority": "p1",
+          "tags": [
+            "performance",
+            "browser",
+            "debug-chat",
+            "user-path"
+          ],
+          "cases": [
+            "pipeline-debug-chat-performance"
+          ]
+        },
         {
           "id": "local-agent-gate",
           "title": "Local Agent runner regression gate",
@@ -1265,6 +1732,7 @@
         "sandbox-native-tools-unavailable",
         "socks-proxy-without-socksio",
         "survey-widget-blocks-debug-chat",
+        "telemetry-proxy-noise",
         "tool-name-collision-between-mcp-and-plugin",
         "uv-run-resyncs-local-sdk"
       ],
@@ -1449,6 +1917,14 @@
             "mcp-stdio-tool-call"
           ]
         },
+        {
+          "id": "telemetry-proxy-noise",
+          "title": "Telemetry posting fails through the proxy while the target flow succeeds",
+          "category": "env_issue",
+          "related_cases": [
+            "langbot-space-debug-chat-concurrency-smoke"
+          ]
+        },
         {
           "id": "tool-name-collision-between-mcp-and-plugin",
           "title": "MCP and plugin expose the same tool name",

skills/skills/.env.example

@@ -26,6 +26,23 @@ LANGBOT_NO_PROXY=localhost,127.0.0.1,::1
 LANGBOT_PIPELINE_URL=
 LANGBOT_PIPELINE_NAME=
 
+# Optional fake OpenAI-compatible provider controls for Debug Chat load tests.
+# Leave URL empty to let setup automation start a local provider and write the
+# selected URL to skills/.env.local.
+LANGBOT_FAKE_PROVIDER_URL=
+LANGBOT_FAKE_PROVIDER_HOST=127.0.0.1
+LANGBOT_FAKE_PROVIDER_PORT=
+LANGBOT_FAKE_PROVIDER_MODEL_NAME=gpt-4o-mini
+LANGBOT_FAKE_PROVIDER_RESPONSE_TEXT=OK
+LANGBOT_FAKE_PROVIDER_FIRST_TOKEN_DELAY_MS=25
+LANGBOT_FAKE_PROVIDER_CHUNK_DELAY_MS=10
+LANGBOT_FAKE_PROVIDER_CHUNK_COUNT=0
+LANGBOT_FAKE_PROVIDER_FAIL_FIRST_N=0
+LANGBOT_FAKE_PROVIDER_FAIL_EVERY_N=0
+LANGBOT_FAKE_PROVIDER_FAULT_STATUS=500
+LANGBOT_FAKE_PROVIDER_FAIL_AFTER_FIRST_CHUNK=false
+LANGBOT_FAKE_PROVIDER_DYNAMIC_RESPONSE=true
+
 # Optional case-specific runner targets. Prefer these for runner-specific cases
 # so the automation cannot silently test the wrong runner.
 LANGBOT_LOCAL_AGENT_PIPELINE_URL=

skills/skills/langbot-env-setup/references/service-startup.md

@@ -53,7 +53,7 @@ Start the new frontend from the web repo:
 
 ```bash
 cd "$LANGBOT_WEB_REPO"
-npm run dev
+VITE_API_BASE_URL="$LANGBOT_BACKEND_URL" pnpm dev --host 0.0.0.0
 ```
 
 Healthy startup includes:
@@ -68,6 +68,10 @@ Quick check:
 curl -I --max-time 3 "$LANGBOT_FRONTEND_URL"
 ```
 
+If `VITE_API_BASE_URL` is missing, Vite still serves the page but frontend API
+calls may go to the frontend port instead of the backend port. That produces
+false browser failures in login, wizard, pipeline, and Debug Chat cases.
+
 ## Completion Signal
 
 Environment setup is not complete until the required frontend/backend URLs are reachable and the chosen browser-control path can open the WebUI.

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

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

skills/skills/langbot-testing/SKILL.md

@@ -21,6 +21,7 @@ Use this skill when an agent needs to verify LangBot behavior through the WebUI
 - **Sandbox-backed skill authoring**: read `references/sandbox-skill-authoring.md`.
 - **LangRAG knowledge bases**: read `references/langrag-knowledge-base.md`.
 - **MCP stdio tool testing**: read `references/mcp-stdio-testing.md`.
+- **Performance, reliability, or chaos probes**: read `references/performance-reliability-testing.md`.
 - **Drive a live instance over MCP (not raw HTTP)**: use the `langbot-mcp-ops` skill — the instance exposes an MCP server at `http://<host>:5300/mcp` (reuses API keys). Useful for setting up bots/pipelines/models as test fixtures programmatically.
 - **Known failures and fixes**: read `references/troubleshooting.md`.
 - **Reusable test groups**: run `bin/lbs suite list` and `bin/lbs suite plan <suite-id>` before manually assembling a case set.
@@ -36,6 +37,8 @@ Use this skill when an agent needs to verify LangBot behavior through the WebUI
 - Use an authenticated browser profile prepared by `langbot-env-setup`.
 - Do not expose API keys, OAuth secrets, tokens, or localStorage token values in output.
 - A WebUI test is not complete until the visible UI result is checked against backend logs or network behavior.
+- A performance result is not complete without `metrics` evidence and a clear split between LangBot overhead and external provider/tool/network time.
+- A chaos or reliability result is not complete until the fault scope, cleanup, and recovery checks are recorded.
 - For a suite, use `bin/lbs suite start <suite-id>` to create the suite evidence root, per-case directories, and `suite-start.json`/`suite-start.md` handoff files; use `bin/lbs test result <case-id>` to write final per-case `result.json`, then run `bin/lbs suite report <suite-id> --evidence-dir <dir>`.
 - Do not mark a case `pass` until `test result --evidence` covers every value in the case's `evidence_required`.
 - For runner-specific Debug Chat cases, use the case-specific pipeline env declared by `automation_pipeline_url_env` / `automation_pipeline_name_env`; do not silently reuse a generic `LANGBOT_PIPELINE_URL`.

skills/skills/langbot-testing/cases/langbot-fake-provider-debug-chat-cross-pipeline-isolation.yaml

@@ -0,0 +1,84 @@
+id: langbot-fake-provider-debug-chat-cross-pipeline-isolation
+title: "LangBot Debug Chat fake-provider cross-pipeline isolation probe"
+mode: probe
+area: reliability
+type: reliability
+priority: p1
+risk: high
+ci_eligible: false
+tags:
+  - reliability
+  - debug-chat
+  - websocket
+  - fake-provider
+  - isolation
+  - concurrency
+  - metrics
+skills:
+  - langbot-env-setup
+  - langbot-testing
+env:
+  - LANGBOT_BACKEND_URL
+  - LANGBOT_FRONTEND_URL
+  - LANGBOT_E2E_LOGIN_USER
+automation: skills/langbot-testing/probes/langbot-debug-chat-cross-pipeline-isolation.mjs
+automation_env:
+  - LANGBOT_BACKEND_URL
+  - LANGBOT_E2E_LOGIN_USER
+  - LANGBOT_FAKE_PROVIDER_URL
+  - LANGBOT_FAKE_PROVIDER_PIPELINE_A_URL
+  - LANGBOT_FAKE_PROVIDER_PIPELINE_A_NAME
+  - LANGBOT_FAKE_PROVIDER_PIPELINE_B_URL
+  - LANGBOT_FAKE_PROVIDER_PIPELINE_B_NAME
+automation_debug_chat_load_requests: "6"
+automation_debug_chat_load_concurrency: "4"
+automation_debug_chat_load_timeout_ms: "30000"
+automation_debug_chat_load_response_p95_ms: "5000"
+automation_debug_chat_load_max_error_rate: "0"
+automation_debug_chat_load_prompt_template: '请只回复 "{expected}"，不要解释，不要添加其他字符。'
+automation_debug_chat_load_stream: "true"
+automation_debug_chat_load_reset: "true"
+metrics_thresholds_json: '{"cross_pipeline_leak_count":{"max":0},"response_p95_ms":{"max":5000},"error_rate":{"max":0}}'
+load_profile_json: '{"requests_per_pipeline":6,"pipelines":2,"concurrency":4,"path":"Pipeline Debug Chat WebSocket","provider":"controlled fake OpenAI-compatible provider","metric":"cross-pipeline response isolation and send-to-final-assistant-response"}'
+setup_automation:
+  - "node:scripts/e2e/ensure-fake-provider-cross-pipelines.mjs --write-env"
+setup_provides_env:
+  - LANGBOT_FAKE_PROVIDER_URL
+  - LANGBOT_FAKE_PROVIDER_BASE_URL
+  - LANGBOT_FAKE_PROVIDER_PID
+  - LANGBOT_FAKE_PROVIDER_PIPELINE_A_URL
+  - LANGBOT_FAKE_PROVIDER_PIPELINE_A_NAME
+  - LANGBOT_FAKE_PROVIDER_PIPELINE_B_URL
+  - LANGBOT_FAKE_PROVIDER_PIPELINE_B_NAME
+steps:
+  - "Start or reuse the local fake OpenAI-compatible provider."
+  - "Create or update two local-agent pipelines that both point at the controlled fake provider."
+  - "Reset both Debug Chat sessions and the fake-provider request log."
+  - "Open concurrent WebSocket Debug Chat connections to both pipelines and send unique pipeline-scoped response tokens."
+checks:
+  - "automation-result.json status is pass only when every request receives its own expected token and cross_pipeline_leak_count is zero."
+  - "metrics_summary includes by_pipeline status counts, fake-provider request count, and LangBot/provider timing estimates."
+  - "samples.json contains per-request pipeline labels so any leak can be attributed to the receiving pipeline."
+evidence_required:
+  - metrics
+  - network
+  - api_diagnostic
+  - filesystem
+diagnostics:
+  - "This probe targets Debug Chat isolation under concurrent traffic from two pipelines."
+  - "It is designed to expose regressions where global pipeline state causes one pipeline's assistant response to be delivered to another pipeline's Debug Chat session."
+  - "Same-pipeline foreign responses are tolerated because Debug Chat intentionally broadcasts within the same pipeline/session; cross-pipeline tokens are never tolerated."
+  - "Known product bug: current releases may fail this probe because Debug Chat replies can read singleton WebSocket proxy pipeline state after another pipeline overwrites it. See https://github.com/langbot-app/LangBot/issues/2286."
+expected_failures:
+  - "https://github.com/langbot-app/LangBot/issues/2286"
+success_patterns:
+  - "Debug Chat cross-pipeline isolation probe passed"
+failure_patterns:
+  - "cross_pipeline_leak"
+  - "Timed out after"
+  - "WebSocket connection error"
+  - "Final assistant response did not include"
+troubleshooting:
+  - backend-not-listening
+  - debug-chat-history-contaminates-automation
+  - local-agent-model-route-unavailable

skills/skills/langbot-testing/cases/langbot-fake-provider-debug-chat-fault-recovery.yaml

@@ -0,0 +1,95 @@
+id: langbot-fake-provider-debug-chat-fault-recovery
+title: "LangBot Debug Chat fake-provider fault recovery probe"
+mode: probe
+area: reliability
+type: chaos
+priority: p1
+risk: high
+ci_eligible: false
+tags:
+  - reliability
+  - chaos
+  - debug-chat
+  - websocket
+  - fake-provider
+  - fault-injection
+  - metrics
+skills:
+  - langbot-env-setup
+  - langbot-testing
+env:
+  - LANGBOT_BACKEND_URL
+  - LANGBOT_FRONTEND_URL
+  - LANGBOT_E2E_LOGIN_USER
+automation: skills/langbot-testing/probes/langbot-debug-chat-concurrency.mjs
+automation_env:
+  - LANGBOT_BACKEND_URL
+  - LANGBOT_E2E_LOGIN_USER
+  - LANGBOT_FAKE_PROVIDER_PIPELINE_URL
+  - LANGBOT_FAKE_PROVIDER_PIPELINE_NAME
+automation_pipeline_url_env: LANGBOT_FAKE_PROVIDER_PIPELINE_URL
+automation_pipeline_name_env: LANGBOT_FAKE_PROVIDER_PIPELINE_NAME
+automation_debug_chat_load_requests: "6"
+automation_debug_chat_load_concurrency: "1"
+automation_debug_chat_load_timeout_ms: "15000"
+automation_debug_chat_load_response_p95_ms: "5000"
+automation_debug_chat_load_max_error_rate: "0"
+automation_debug_chat_load_min_ok_count: "6"
+automation_debug_chat_load_min_provider_fault_count: "2"
+automation_debug_chat_load_expected_prefix: "FAULTQA"
+automation_debug_chat_load_prompt_template: '请只回复 "{expected}"，不要解释，不要添加其他字符。'
+automation_debug_chat_load_stream: "true"
+automation_debug_chat_load_reset: "true"
+automation_debug_chat_load_fail_on_final_mismatch: "true"
+automation_fake_provider_first_token_delay_ms: "25"
+automation_fake_provider_chunk_delay_ms: "10"
+automation_fake_provider_chunk_count: "0"
+automation_fake_provider_fail_first_n: "2"
+automation_fake_provider_fail_every_n: "0"
+automation_fake_provider_fault_status: "503"
+metrics_thresholds_json: '{"response_p95_ms":{"max":5000},"error_rate":{"max":0},"ok_count_min":{"min":6},"fake_provider_fault_count_min":{"min":2}}'
+fault_model_json: '{"provider_fault":"HTTP 503 for first 2 fake-provider chat completions after reset","expected_behavior":"LangBot retries or otherwise recovers from bounded provider failures so every Debug Chat request receives its expected response without backend crash."}'
+load_profile_json: '{"requests":6,"concurrency":1,"path":"Pipeline Debug Chat WebSocket","provider":"controlled fake OpenAI-compatible provider","classification":"fault-recovery-not-throughput-benchmark"}'
+setup_automation:
+  - "node:scripts/e2e/ensure-fake-provider-pipeline.mjs --write-env"
+setup_provides_env:
+  - LANGBOT_FAKE_PROVIDER_URL
+  - LANGBOT_FAKE_PROVIDER_BASE_URL
+  - LANGBOT_FAKE_PROVIDER_PID
+  - LANGBOT_FAKE_PROVIDER_PROVIDER_UUID
+  - LANGBOT_FAKE_PROVIDER_MODEL_UUID
+  - LANGBOT_FAKE_PROVIDER_PIPELINE_URL
+  - LANGBOT_FAKE_PROVIDER_PIPELINE_NAME
+steps:
+  - "Configure the local fake provider to return HTTP 503 for the first two chat completions after reset."
+  - "Create or update the LangBot provider, model, and local-agent pipeline that points at the fake provider."
+  - "Reset the target Debug Chat session and fake-provider request counter."
+  - "Send a sequential Debug Chat batch and verify later requests recover after the injected provider faults."
+checks:
+  - "automation-result.json status is pass when the fake provider records at least two injected faults, every Debug Chat request succeeds, and total user-visible error rate stays at zero."
+  - "metrics_summary includes fake_provider_fault_count and status_counts for the same run window."
+  - "backend logs show request handling for the same run window without unexpected Traceback or task-leak findings."
+evidence_required:
+  - metrics
+  - network
+  - api_diagnostic
+  - filesystem
+diagnostics:
+  - "This is a fault-recovery probe, not a throughput benchmark."
+  - "Provider faults may be retried inside the provider/requester path; judge this case by fake_provider_fault_count plus user-visible success/error metrics."
+  - "The profile uses concurrency 1 because Debug Chat broadcasts assistant responses to every connection in a session, and failed responses do not carry the unique success token needed for concurrent attribution."
+success_patterns:
+  - "Debug Chat WebSocket concurrency probe passed"
+  - "Streaming completed"
+failure_patterns:
+  - "fake_provider_fault"
+  - "HTTP 503"
+  - "Timed out after"
+  - "All models failed during streaming setup"
+expected_failures:
+  - "fake_provider_fault"
+  - "HTTP 503"
+troubleshooting:
+  - backend-not-listening
+  - debug-chat-history-contaminates-automation
+  - local-agent-model-route-unavailable

skills/skills/langbot-testing/cases/langbot-fake-provider-debug-chat-load.yaml

@@ -0,0 +1,81 @@
+id: langbot-fake-provider-debug-chat-load
+title: "LangBot Debug Chat controlled fake-provider load probe"
+mode: probe
+area: performance
+type: performance
+priority: p1
+risk: medium
+ci_eligible: false
+tags:
+  - performance
+  - debug-chat
+  - websocket
+  - fake-provider
+  - load
+  - metrics
+skills:
+  - langbot-env-setup
+  - langbot-testing
+env:
+  - LANGBOT_BACKEND_URL
+  - LANGBOT_FRONTEND_URL
+  - LANGBOT_E2E_LOGIN_USER
+automation: skills/langbot-testing/probes/langbot-debug-chat-concurrency.mjs
+automation_env:
+  - LANGBOT_BACKEND_URL
+  - LANGBOT_E2E_LOGIN_USER
+  - LANGBOT_FAKE_PROVIDER_PIPELINE_URL
+  - LANGBOT_FAKE_PROVIDER_PIPELINE_NAME
+automation_pipeline_url_env: LANGBOT_FAKE_PROVIDER_PIPELINE_URL
+automation_pipeline_name_env: LANGBOT_FAKE_PROVIDER_PIPELINE_NAME
+automation_debug_chat_load_requests: "12"
+automation_debug_chat_load_concurrency: "4"
+automation_debug_chat_load_timeout_ms: "30000"
+automation_debug_chat_load_response_p95_ms: "5000"
+automation_debug_chat_load_first_response_p95_ms: "3000"
+automation_debug_chat_load_max_error_rate: "0"
+automation_debug_chat_load_expected_prefix: "FAKEQA"
+automation_debug_chat_load_prompt_template: '请只回复 "{expected}"，不要解释，不要添加其他字符。'
+automation_debug_chat_load_stream: "true"
+automation_debug_chat_load_reset: "true"
+metrics_thresholds_json: '{"response_p95_ms":{"max":5000},"first_response_p95_ms":{"max":3000},"error_rate":{"max":0}}'
+load_profile_json: '{"requests":12,"concurrency":4,"path":"Pipeline Debug Chat WebSocket","provider":"controlled fake OpenAI-compatible provider","metric":"send-to-final-assistant-response"}'
+setup_automation:
+  - "node:scripts/e2e/ensure-fake-provider-pipeline.mjs --write-env"
+setup_provides_env:
+  - LANGBOT_FAKE_PROVIDER_URL
+  - LANGBOT_FAKE_PROVIDER_BASE_URL
+  - LANGBOT_FAKE_PROVIDER_PID
+  - LANGBOT_FAKE_PROVIDER_PROVIDER_UUID
+  - LANGBOT_FAKE_PROVIDER_MODEL_UUID
+  - LANGBOT_FAKE_PROVIDER_PIPELINE_URL
+  - LANGBOT_FAKE_PROVIDER_PIPELINE_NAME
+steps:
+  - "Start or reuse the local fake OpenAI-compatible provider."
+  - "Create or update the LangBot provider, model, and local-agent pipeline that points at the fake provider."
+  - "Reset the target Debug Chat session."
+  - "Open concurrent WebSocket Debug Chat connections and send unique deterministic prompts through the real backend pipeline."
+checks:
+  - "automation-result.json status is pass when every request receives its own expected assistant response."
+  - "metrics_summary includes request count, concurrency, p50/p95 response latency, first response latency, throughput, and error rate."
+  - "thresholds_summary shows response_p95_ms, first_response_p95_ms, and error_rate pass."
+evidence_required:
+  - metrics
+  - network
+  - api_diagnostic
+  - filesystem
+diagnostics:
+  - "This probe removes external model latency from the measurement; it still exercises the live LangBot backend, provider requester, local-agent runner, pipeline, and Debug Chat WebSocket adapter."
+  - "Use this as the repeatable message-path baseline before comparing against Space or another real provider."
+success_patterns:
+  - "Debug Chat WebSocket concurrency probe passed"
+  - "Streaming completed"
+failure_patterns:
+  - "WebSocket connection error"
+  - "Timed out after"
+  - "Final assistant response did not include"
+  - "All models failed during streaming setup"
+troubleshooting:
+  - backend-not-listening
+  - debug-chat-history-contaminates-automation
+  - local-agent-model-route-unavailable

skills/skills/langbot-testing/cases/langbot-fake-provider-debug-chat-slow-load.yaml

@@ -0,0 +1,88 @@
+id: langbot-fake-provider-debug-chat-slow-load
+title: "LangBot Debug Chat slow fake-provider load probe"
+mode: probe
+area: performance
+type: performance
+priority: p1
+risk: medium
+ci_eligible: false
+tags:
+  - performance
+  - debug-chat
+  - websocket
+  - fake-provider
+  - slow-provider
+  - load
+  - metrics
+skills:
+  - langbot-env-setup
+  - langbot-testing
+env:
+  - LANGBOT_BACKEND_URL
+  - LANGBOT_FRONTEND_URL
+  - LANGBOT_E2E_LOGIN_USER
+automation: skills/langbot-testing/probes/langbot-debug-chat-concurrency.mjs
+automation_env:
+  - LANGBOT_BACKEND_URL
+  - LANGBOT_E2E_LOGIN_USER
+  - LANGBOT_FAKE_PROVIDER_PIPELINE_URL
+  - LANGBOT_FAKE_PROVIDER_PIPELINE_NAME
+automation_pipeline_url_env: LANGBOT_FAKE_PROVIDER_PIPELINE_URL
+automation_pipeline_name_env: LANGBOT_FAKE_PROVIDER_PIPELINE_NAME
+automation_debug_chat_load_requests: "8"
+automation_debug_chat_load_concurrency: "4"
+automation_debug_chat_load_timeout_ms: "45000"
+automation_debug_chat_load_response_p95_ms: "10000"
+automation_debug_chat_load_first_response_p95_ms: "7000"
+automation_debug_chat_load_max_error_rate: "0"
+automation_debug_chat_load_expected_prefix: "SLOWQA"
+automation_debug_chat_load_prompt_template: '请只回复 "{expected}"，不要解释，不要添加其他字符。'
+automation_debug_chat_load_stream: "true"
+automation_debug_chat_load_reset: "true"
+automation_fake_provider_first_token_delay_ms: "1000"
+automation_fake_provider_chunk_delay_ms: "250"
+automation_fake_provider_chunk_count: "4"
+automation_fake_provider_fail_first_n: "0"
+automation_fake_provider_fail_every_n: "0"
+automation_fake_provider_fault_status: "500"
+metrics_thresholds_json: '{"response_p95_ms":{"max":10000},"first_response_p95_ms":{"max":7000},"error_rate":{"max":0}}'
+load_profile_json: '{"requests":8,"concurrency":4,"path":"Pipeline Debug Chat WebSocket","provider":"controlled slow fake OpenAI-compatible provider","metric":"send-to-final-assistant-response","provider_profile":{"first_token_delay_ms":1000,"chunk_delay_ms":250,"chunk_count":4}}'
+setup_automation:
+  - "node:scripts/e2e/ensure-fake-provider-pipeline.mjs --write-env"
+setup_provides_env:
+  - LANGBOT_FAKE_PROVIDER_URL
+  - LANGBOT_FAKE_PROVIDER_BASE_URL
+  - LANGBOT_FAKE_PROVIDER_PID
+  - LANGBOT_FAKE_PROVIDER_PROVIDER_UUID
+  - LANGBOT_FAKE_PROVIDER_MODEL_UUID
+  - LANGBOT_FAKE_PROVIDER_PIPELINE_URL
+  - LANGBOT_FAKE_PROVIDER_PIPELINE_NAME
+steps:
+  - "Configure the local fake provider with deterministic slow streaming latency."
+  - "Create or update the LangBot provider, model, and local-agent pipeline that points at the fake provider."
+  - "Reset the target Debug Chat session."
+  - "Open concurrent WebSocket Debug Chat connections and send unique deterministic prompts through the real backend pipeline."
+checks:
+  - "automation-result.json status is pass when every request receives its own expected assistant response."
+  - "metrics_summary shows zero errors under the slow-provider profile."
+  - "thresholds_summary shows response_p95_ms, first_response_p95_ms, and error_rate pass."
+evidence_required:
+  - metrics
+  - network
+  - api_diagnostic
+  - filesystem
+diagnostics:
+  - "This probe keeps the model deterministic while injecting provider latency, so it catches backend timeout, streaming, and WebSocket backpressure issues without Space variability."
+  - "Compare with langbot-fake-provider-debug-chat-load to separate fixed LangBot overhead from provider-latency amplification."
+success_patterns:
+  - "Debug Chat WebSocket concurrency probe passed"
+  - "Streaming completed"
+failure_patterns:
+  - "WebSocket connection error"
+  - "Timed out after"
+  - "Final assistant response did not include"
+  - "All models failed during streaming setup"
+troubleshooting:
+  - backend-not-listening
+  - debug-chat-history-contaminates-automation
+  - local-agent-model-route-unavailable

skills/skills/langbot-testing/cases/langbot-fault-taxonomy-contract.yaml

@@ -0,0 +1,35 @@
+id: langbot-fault-taxonomy-contract
+title: "LangBot fault taxonomy and cleanup contract"
+mode: probe
+area: reliability
+type: chaos
+priority: p1
+risk: medium
+ci_eligible: true
+tags:
+  - reliability
+  - chaos
+  - contract
+  - synthetic
+skills:
+  - langbot-testing
+automation: skills/langbot-testing/probes/langbot-fault-taxonomy-contract.mjs
+fault_model_json: '{"kind":"taxonomy-contract","destructive":false,"scenarios":["provider-timeout","plugin-runtime-disconnect","mcp-stdio-server-exit","operator-missing-login","transient-marketplace-timeout"]}'
+steps:
+  - "Run `rtk bin/lbs test run langbot-fault-taxonomy-contract --dry-run` first; remove `--dry-run` after checking the evidence directory."
+  - "Automation validates that representative fault scenarios declare target, injected fault, expected status, recovery check, and cleanup."
+  - "Review metrics.json, fault-model.json, and automation-result.json under LBS_EVIDENCE_DIR."
+checks:
+  - "automation-result.json status is pass."
+  - "Every scenario has an expected status in pass, fail, blocked, env_issue, or flaky."
+  - "Every scenario declares a cleanup action and recovery check."
+evidence_required:
+  - metrics
+  - filesystem
+diagnostics:
+  - "This is a non-destructive taxonomy contract probe; it does not inject real runtime faults."
+  - "Use it as a gate before adding live chaos cases that kill runtimes, route traffic through a proxy, or disrupt a backend dependency."
+success_patterns:
+  - "Fault taxonomy contract declares status"
+failure_patterns:
+  - "missing required scenario fields"

skills/skills/langbot-testing/cases/langbot-live-backend-latency.yaml

@@ -0,0 +1,42 @@
+id: langbot-live-backend-latency
+title: "LangBot live backend basic latency probe"
+mode: probe
+area: performance
+type: performance
+priority: p1
+risk: medium
+ci_eligible: false
+tags:
+  - performance
+  - live-backend
+  - latency
+  - metrics
+skills:
+  - langbot-testing
+env:
+  - LANGBOT_BACKEND_URL
+automation: skills/langbot-testing/probes/langbot-live-backend-latency.mjs
+metrics_thresholds_json: '{"backend_p95_ms":{"max":1000},"error_rate":{"max":0}}'
+load_profile_json: '{"requests":12,"concurrency":2,"endpoints":["/healthz"]}'
+steps:
+  - "Confirm the selected LangBot backend is the intended test target."
+  - "Run `rtk bin/lbs test run langbot-live-backend-latency --dry-run` first; remove `--dry-run` after checking LANGBOT_BACKEND_URL and evidence directory."
+  - "Automation sends a small request batch to LANGBOT_BACKEND_URL/healthz and records latency, status counts, and network errors."
+checks:
+  - "automation-result.json status is pass when the backend responds and p95/error-rate thresholds pass."
+  - "automation-result.json status is env_issue when the backend is not reachable."
+  - "metrics.json and network.log are written under LBS_EVIDENCE_DIR."
+evidence_required:
+  - metrics
+  - network
+  - api_diagnostic
+  - filesystem
+diagnostics:
+  - "This probe measures backend health endpoint reachability latency only; it does not cover model/provider, browser, Debug Chat, RAG, or plugin runtime latency."
+success_patterns:
+  - "Live backend latency probe passed"
+failure_patterns:
+  - "Backend did not respond"
+  - "breached latency or error-rate thresholds"
+troubleshooting:
+  - socks-proxy-without-socksio

skills/skills/langbot-testing/cases/langbot-live-backend-log-health.yaml

@@ -0,0 +1,45 @@
+id: langbot-live-backend-log-health
+title: "LangBot live backend log health probe"
+mode: probe
+area: reliability
+type: reliability
+priority: p1
+risk: medium
+ci_eligible: false
+tags:
+  - reliability
+  - live-backend
+  - backend-log
+  - metrics
+skills:
+  - langbot-testing
+env:
+  - LANGBOT_BACKEND_URL
+automation: skills/langbot-testing/probes/langbot-live-backend-log-health.mjs
+metrics_thresholds_json: '{"fail_count":{"max":0}}'
+load_profile_json: '{"lookback_seconds":300,"log_source":"LANGBOT_BACKEND_LOG or latest LANGBOT_REPO/data/logs/langbot-*.log"}'
+steps:
+  - "Confirm the selected LangBot backend log belongs to the intended test target."
+  - "Run `rtk bin/lbs test run langbot-live-backend-log-health --dry-run` first; remove `--dry-run` after checking evidence directory and log source."
+  - "Automation scans the recent backend log window for fail-severity runtime findings such as Traceback, ImportError, ERROR, unclosed sessions, and unawaited coroutines."
+checks:
+  - "automation-result.json status is pass only when fail_count is 0."
+  - "metrics_summary includes scanned_line_count, fail_count, warning_count, and finding_count."
+  - "findings.json and scanned-backend.log are written under LBS_EVIDENCE_DIR."
+evidence_required:
+  - metrics
+  - backend_log
+  - filesystem
+diagnostics:
+  - "Set LANGBOT_BACKEND_LOG to an explicit log path when the latest log file is not the run target."
+  - "Set LANGBOT_BACKEND_LOG_SINCE or LANGBOT_BACKEND_LOG_LOOKBACK_SECONDS to control the scan window."
+  - "This probe measures runtime log health; it does not prove user-facing Debug Chat, plugin, model, or RAG behavior."
+success_patterns:
+  - "Live backend log health passed"
+failure_patterns:
+  - "Traceback"
+  - "ImportError"
+  - "ERROR"
+  - "unclosed"
+troubleshooting:
+  - socks-proxy-without-socksio

skills/skills/langbot-testing/cases/langbot-live-control-plane-api.yaml

@@ -0,0 +1,44 @@
+id: langbot-live-control-plane-api
+title: "LangBot live control-plane API probe"
+mode: probe
+area: performance
+type: performance
+priority: p1
+risk: medium
+ci_eligible: false
+tags:
+  - performance
+  - reliability
+  - live-backend
+  - control-plane
+  - metrics
+skills:
+  - langbot-testing
+env:
+  - LANGBOT_BACKEND_URL
+automation: skills/langbot-testing/probes/langbot-live-control-plane-api.mjs
+metrics_thresholds_json: '{"error_rate":{"max":0},"response_shape_failures":{"max":0},"healthz_p95_ms":{"max":500},"system_info_p95_ms":{"max":1000}}'
+load_profile_json: '{"requests":20,"concurrency":4,"endpoints":["/healthz","/api/v1/system/info"],"auth_required":false}'
+steps:
+  - "Confirm the selected LangBot backend is the intended test target."
+  - "Run `rtk bin/lbs test run langbot-live-control-plane-api --dry-run` first; remove `--dry-run` after checking LANGBOT_BACKEND_URL and evidence directory."
+  - "Automation sends a small request batch to /healthz and /api/v1/system/info, then validates status code, JSON shape, and latency budgets."
+checks:
+  - "automation-result.json status is pass when every control-plane request returns HTTP 200, JSON code 0, and required response fields."
+  - "metrics_summary includes per-endpoint p50/p95 latency, error rate, status counts, and response_shape_failures."
+  - "thresholds_summary shows error_rate, response_shape_failures, healthz_p95_ms, and system_info_p95_ms all pass."
+evidence_required:
+  - metrics
+  - network
+  - api_diagnostic
+  - filesystem
+diagnostics:
+  - "This probe measures unauthenticated backend control-plane readiness; it does not cover authenticated UI flows, Debug Chat, model calls, plugins, or RAG."
+  - "A system_info shape failure usually means the API contract or startup state changed and should be investigated before treating latency as healthy."
+success_patterns:
+  - "Live control-plane API probe passed"
+failure_patterns:
+  - "Backend did not respond"
+  - "breached shape, latency, or error-rate thresholds"
+troubleshooting:
+  - socks-proxy-without-socksio

skills/skills/langbot-testing/cases/langbot-overhead-accounting-contract.yaml

@@ -0,0 +1,37 @@
+id: langbot-overhead-accounting-contract
+title: "LangBot overhead accounting metrics contract"
+mode: probe
+area: performance
+type: performance
+priority: p1
+risk: medium
+ci_eligible: true
+tags:
+  - performance
+  - metrics
+  - contract
+  - synthetic
+skills:
+  - langbot-testing
+automation: skills/langbot-testing/probes/langbot-overhead-accounting-contract.mjs
+metrics_thresholds_json: '{"sample_count":{"min":50},"langbot_overhead_p95_ms":{"max":25},"accounting_gap_max_ms":{"max":0.001}}'
+load_profile_json: '{"kind":"synthetic-overhead-accounting","samples":80,"external_latency_segments":["provider","external_tool","network"]}'
+steps:
+  - "Run `rtk bin/lbs test run langbot-overhead-accounting-contract --dry-run` first; remove `--dry-run` after checking the evidence directory."
+  - "Automation generates deterministic message-path latency samples and separates LangBot overhead from provider/tool/network latency."
+  - "Review metrics.json, thresholds.json, resource-log.json, and automation-result.json under LBS_EVIDENCE_DIR."
+checks:
+  - "automation-result.json status is pass."
+  - "metrics_summary includes sample_count, langbot_overhead_p95_ms, e2e_latency_p95_ms, external_latency_p95_ms, and accounting_gap_max_ms."
+  - "thresholds_summary shows sample_count, langbot_overhead_p95_ms, and accounting_gap_max_ms all pass."
+evidence_required:
+  - metrics
+  - resource_log
+  - filesystem
+diagnostics:
+  - "This is a synthetic contract probe for the QA harness; it is not live product performance."
+  - "Use it to verify that reports can carry overhead accounting metrics before running live backend or browser performance probes."
+success_patterns:
+  - "Overhead accounting contract passed"
+failure_patterns:
+  - "breached one or more thresholds"

skills/skills/langbot-testing/cases/langbot-space-debug-chat-concurrency-smoke.yaml

@@ -0,0 +1,84 @@
+id: langbot-space-debug-chat-concurrency-smoke
+title: "LangBot Debug Chat real Space-provider concurrency smoke"
+mode: probe
+area: performance
+type: performance
+priority: p1
+risk: high
+ci_eligible: false
+tags:
+  - performance
+  - debug-chat
+  - websocket
+  - space
+  - live-provider
+  - smoke
+  - metrics
+skills:
+  - langbot-env-setup
+  - langbot-testing
+env:
+  - LANGBOT_BACKEND_URL
+  - LANGBOT_FRONTEND_URL
+  - LANGBOT_E2E_LOGIN_USER
+automation: skills/langbot-testing/probes/langbot-debug-chat-concurrency.mjs
+automation_env:
+  - LANGBOT_BACKEND_URL
+  - LANGBOT_E2E_LOGIN_USER
+  - LANGBOT_LOCAL_AGENT_PIPELINE_URL
+  - LANGBOT_LOCAL_AGENT_PIPELINE_NAME
+automation_pipeline_url_env: LANGBOT_LOCAL_AGENT_PIPELINE_URL
+automation_pipeline_name_env: LANGBOT_LOCAL_AGENT_PIPELINE_NAME
+automation_debug_chat_load_requests: "3"
+automation_debug_chat_load_concurrency: "2"
+automation_debug_chat_load_timeout_ms: "120000"
+automation_debug_chat_load_response_p95_ms: "120000"
+automation_debug_chat_load_max_error_rate: "0"
+automation_debug_chat_load_expected_prefix: "SPACEQA"
+automation_debug_chat_load_prompt_template: '请只回复 "{expected}"，不要解释，不要添加其他字符。'
+automation_debug_chat_load_stream: "true"
+automation_debug_chat_load_reset: "true"
+metrics_thresholds_json: '{"response_p95_ms":{"max":120000},"error_rate":{"max":0}}'
+load_profile_json: '{"requests":3,"concurrency":2,"path":"Pipeline Debug Chat WebSocket","provider":"LangBot Space model route","metric":"send-to-final-assistant-response","classification":"smoke-not-benchmark"}'
+setup_automation:
+  - "node:scripts/e2e/ensure-local-agent-pipeline.mjs --write-env"
+setup_provides_env:
+  - LANGBOT_PIPELINE_URL
+  - LANGBOT_PIPELINE_NAME
+  - LANGBOT_LOCAL_AGENT_PIPELINE_URL
+  - LANGBOT_LOCAL_AGENT_PIPELINE_NAME
+  - LANGBOT_LOCAL_AGENT_MODEL_UUID
+  - LANGBOT_E2E_MODEL_UUID
+preconditions:
+  - "The selected local LangBot instance is safe for a low-volume real Space model smoke run."
+  - "Treat Space/provider/network failures as environment or dependency findings until fake-provider baseline evidence separates LangBot overhead."
+steps:
+  - "Prepare a local-agent pipeline with a tested Space model and fallback models."
+  - "Reset the target Debug Chat session."
+  - "Open a small number of concurrent WebSocket Debug Chat connections and send unique deterministic prompts through the live Space provider path."
+checks:
+  - "automation-result.json status is pass when every request receives its own expected assistant response."
+  - "metrics_summary includes request count, concurrency, p95 response latency, throughput, and error rate."
+  - "The report classifies the result as a live-provider smoke, not a stable LangBot overhead benchmark."
+evidence_required:
+  - metrics
+  - network
+  - api_diagnostic
+  - filesystem
+diagnostics:
+  - "This probe measures real user-path latency through Space and includes provider latency, model behavior, and network effects."
+  - "Compare with langbot-fake-provider-debug-chat-load before attributing slow or failed runs to LangBot itself."
+success_patterns:
+  - "Debug Chat WebSocket concurrency probe passed"
+  - "Streaming completed"
+failure_patterns:
+  - "invalid api key"
+  - "WebSocket connection error"
+  - "Timed out after"
+  - "Final assistant response did not include"
+  - "All models failed during streaming setup"
+troubleshooting:
+  - local-agent-model-route-unavailable
+  - marketplace-network-flaky
+  - proxy-env-mismatch
+  - telemetry-proxy-noise

skills/skills/langbot-testing/cases/pipeline-debug-chat-performance.yaml

@@ -0,0 +1,80 @@
+id: pipeline-debug-chat-performance
+title: "Pipeline Debug Chat user-path performance probe"
+mode: agent-browser
+area: pipeline
+type: performance
+priority: p1
+risk: medium
+ci_eligible: false
+tags:
+  - performance
+  - pipeline
+  - debug-chat
+  - user-path
+  - metrics
+skills:
+  - langbot-env-setup
+  - langbot-testing
+env:
+  - LANGBOT_FRONTEND_URL
+  - LANGBOT_BACKEND_URL
+env_any:
+  - LANGBOT_PIPELINE_URL|LANGBOT_PIPELINE_NAME
+automation: scripts/e2e/pipeline-debug-chat.mjs
+automation_env:
+  - LANGBOT_FRONTEND_URL
+  - LANGBOT_BACKEND_URL
+  - LANGBOT_BROWSER_PROFILE
+  - LANGBOT_CHROMIUM_EXECUTABLE
+  - LANGBOT_E2E_PROMPT
+  - LANGBOT_E2E_EXPECTED_TEXT
+  - LANGBOT_E2E_RESPONSE_TIMEOUT_MS
+automation_env_any:
+  - LANGBOT_PIPELINE_URL|LANGBOT_PIPELINE_NAME
+automation_prompt: "请只回复 OK，用于性能测试。"
+automation_expected_text: "OK"
+automation_response_timeout_ms: "120000"
+automation_reset_debug_chat: "true"
+automation_debug_chat_response_p95_ms: "120000"
+automation_debug_chat_max_error_rate: "0"
+metrics_thresholds_json: '{"response_p95_ms":{"max":120000},"error_rate":{"max":0}}'
+load_profile_json: '{"prompts":1,"browser":true,"path":"Pipeline Debug Chat","metric":"send-to-visible-completion"}'
+setup_automation:
+  - "node:scripts/e2e/ensure-local-agent-pipeline.mjs --write-env"
+setup_provides_env:
+  - LANGBOT_PIPELINE_URL
+  - LANGBOT_PIPELINE_NAME
+preconditions:
+  - "LANGBOT_PIPELINE_URL or LANGBOT_PIPELINE_NAME points to the pipeline intended for this Debug Chat performance run."
+  - "The target pipeline is safe to reset Debug Chat history for this run."
+  - "The target pipeline has a known-good runner/model; provider latency should be interpreted separately from LangBot overhead."
+steps:
+  - "Open LANGBOT_FRONTEND_URL with the prepared browser profile."
+  - "Open the target pipeline and select Debug Chat."
+  - "Reset Debug Chat history through the backend API when configured."
+  - "Send the deterministic prompt and wait for the expected assistant response."
+checks:
+  - "automation-result.json status is pass when the expected assistant response appears."
+  - "metrics_summary includes response_p50_ms, response_p95_ms, error_rate, and total_duration_ms."
+  - "thresholds_summary shows response_p95_ms and error_rate pass."
+evidence_required:
+  - ui
+  - screenshot
+  - console
+  - network
+  - metrics
+diagnostics:
+  - "This case measures browser-visible send-to-completion latency; it does not split provider latency from LangBot overhead."
+  - "Use backend logs and provider diagnostics to explain slow runs before calling them LangBot regressions."
+success_patterns:
+  - "Processing request from person_websocket"
+  - "Streaming completed"
+failure_patterns:
+  - "Action invoke_llm_stream call timed out"
+  - "Task exception was never retrieved"
+  - "All models failed during streaming setup"
+troubleshooting:
+  - debug-chat-history-contaminates-automation
+  - local-agent-model-route-unavailable
+  - plugin-runtime-timeout
+  - proxy-env-mismatch

skills/skills/langbot-testing/fixtures/plugins/qa-plugin-smoke/.gitignore

@@ -1 +1,3 @@
-dist/
+dist/*
+!dist/
+!dist/qa-plugin-smoke-0.1.0.lbpkg

skills/skills/langbot-testing/probes/langbot-debug-chat-concurrency.mjs

@@ -0,0 +1,837 @@
+#!/usr/bin/env node
+
+import crypto from "node:crypto";
+import net from "node:net";
+import tls from "node:tls";
+import { mkdir, writeFile } from "node:fs/promises";
+import { join, resolve } from "node:path";
+import { env, exit } from "node:process";
+import {
+  apiJson,
+  appendLine,
+  ensureEvidence,
+  evidencePaths,
+  loadEnvFiles,
+  localIsoWithOffset,
+  redact,
+  resetAndAuthLocalUser,
+  writeResult,
+} from "../../../scripts/e2e/lib/langbot-e2e.mjs";
+import {
+  buildProviderTimingMetrics,
+  summarizeFakeProviderState,
+} from "./lib/fake-provider-timing.mjs";
+
+const DEFAULT_LOCAL_PASSWORD = "LangBotE2ELocalPass!2026";
+
+await loadEnvFiles();
+const caseId = env.LBS_CASE_ID || "langbot-debug-chat-concurrency";
+const paths = evidencePaths(caseId);
+await ensureEvidence(paths);
+
+const startedAt = new Date();
+const metricsPath = resolve(paths.evidenceDir, "metrics.json");
+const samplesPath = resolve(paths.evidenceDir, "samples.json");
+const fakeProviderStatePath = resolve(paths.evidenceDir, "fake-provider-state.json");
+const resetDiagnosticPath = resolve(paths.evidenceDir, "debug-chat-reset-diagnostic.json");
+const backendUrl = env.LANGBOT_BACKEND_URL || "";
+const fakeProviderUrl = env.LANGBOT_FAKE_PROVIDER_URL || "";
+const pipelineUrl = env.LANGBOT_E2E_PIPELINE_URL || env.LANGBOT_PIPELINE_URL || "";
+const pipelineName = env.LANGBOT_E2E_PIPELINE_NAME || env.LANGBOT_PIPELINE_NAME || "";
+const sessionType = env.LANGBOT_DEBUG_CHAT_LOAD_SESSION_TYPE || env.LANGBOT_E2E_DEBUG_CHAT_SESSION_TYPE || "person";
+const totalRequests = positiveInteger(env.LANGBOT_DEBUG_CHAT_LOAD_REQUESTS, defaultRequests(caseId));
+const concurrency = Math.min(totalRequests, positiveInteger(env.LANGBOT_DEBUG_CHAT_LOAD_CONCURRENCY, defaultConcurrency(caseId)));
+const timeoutMs = positiveInteger(env.LANGBOT_DEBUG_CHAT_LOAD_TIMEOUT_MS, defaultTimeout(caseId));
+const expectedPrefix = env.LANGBOT_DEBUG_CHAT_LOAD_EXPECTED_PREFIX || "LBQA";
+const promptTemplate = env.LANGBOT_DEBUG_CHAT_LOAD_PROMPT_TEMPLATE
+  || "请只回复 \"{expected}\"，不要解释，不要添加其他字符。";
+const stream = bool(env.LANGBOT_DEBUG_CHAT_LOAD_STREAM, true);
+const resetBeforeRun = bool(env.LANGBOT_DEBUG_CHAT_LOAD_RESET, true);
+const responseP95BudgetMs = positiveNumber(env.LANGBOT_DEBUG_CHAT_LOAD_RESPONSE_P95_MS, defaultP95Budget(caseId));
+const firstResponseP95BudgetMs = positiveNumber(env.LANGBOT_DEBUG_CHAT_LOAD_FIRST_RESPONSE_P95_MS, 0);
+const maxErrorRate = positiveNumber(env.LANGBOT_DEBUG_CHAT_LOAD_MAX_ERROR_RATE, 0);
+const minErrorRate = positiveNumber(env.LANGBOT_DEBUG_CHAT_LOAD_MIN_ERROR_RATE, 0);
+const minErrorCount = nonNegativeInteger(env.LANGBOT_DEBUG_CHAT_LOAD_MIN_ERROR_COUNT, 0);
+const minOkCount = nonNegativeInteger(env.LANGBOT_DEBUG_CHAT_LOAD_MIN_OK_COUNT, 0);
+const minProviderFaultCount = nonNegativeInteger(env.LANGBOT_DEBUG_CHAT_LOAD_MIN_PROVIDER_FAULT_COUNT, 0);
+const failOnFinalMismatch = bool(env.LANGBOT_DEBUG_CHAT_LOAD_FAIL_ON_FINAL_MISMATCH, false);
+const failureSignals = textList(env.LANGBOT_E2E_FAILURE_SIGNALS || env.LANGBOT_DEBUG_CHAT_LOAD_FAILURE_SIGNALS || "");
+
+const result = {
+  source: "automation",
+  case_id: caseId,
+  run_id: paths.runId,
+  status: "fail",
+  reason: "",
+  started_at: startedAt.toISOString(),
+  started_at_local: localIsoWithOffset(startedAt),
+  finished_at: "",
+  finished_at_local: "",
+  duration_ms: 0,
+  backend_url: backendUrl,
+  pipeline_url: pipelineUrl,
+  pipeline_name: pipelineName,
+  pipeline_id: "",
+  session_type: sessionType,
+  load_profile: {
+    requests: totalRequests,
+    concurrency,
+    timeout_ms: timeoutMs,
+    stream,
+    reset_before_run: resetBeforeRun,
+    fail_on_final_mismatch: failOnFinalMismatch,
+  },
+  evidence: {
+    network_log: paths.networkLog,
+    metrics_json: metricsPath,
+    samples_json: samplesPath,
+    fake_provider_state_json: fakeProviderStatePath,
+    debug_chat_reset_diagnostic_json: resetDiagnosticPath,
+    automation_result_json: paths.automationResultJson,
+    result_json: paths.resultJson,
+  },
+  evidence_collected: ["metrics", "network", "api_diagnostic", "filesystem"],
+};
+
+try {
+  if (!backendUrl) {
+    result.status = "env_issue";
+    throw new Error("LANGBOT_BACKEND_URL is not configured.");
+  }
+  if (!["person", "group"].includes(sessionType)) {
+    throw new Error(`LANGBOT_DEBUG_CHAT_LOAD_SESSION_TYPE must be person or group, got ${sessionType}.`);
+  }
+  const backendReady = await backendReachable(backendUrl);
+  if (!backendReady) {
+    result.status = "env_issue";
+    throw new Error(`Backend did not respond at ${backendUrl}.`);
+  }
+
+  const user = env.LANGBOT_E2E_LOGIN_USER || "";
+  const password = env.LANGBOT_E2E_LOGIN_PASSWORD || DEFAULT_LOCAL_PASSWORD;
+  if (!user) {
+    result.status = "env_issue";
+    throw new Error("LANGBOT_E2E_LOGIN_USER is required so this probe can resolve/reset the Debug Chat session.");
+  }
+  const auth = await resetAndAuthLocalUser({ backendUrl, user, password });
+
+  const pipeline = await resolvePipeline({ backendUrl, token: auth.token, pipelineUrl, pipelineName });
+  result.pipeline_id = pipeline.id;
+  result.pipeline_name = pipeline.name || pipelineName;
+  if (!result.pipeline_url && env.LANGBOT_FRONTEND_URL) {
+    result.pipeline_url = `${env.LANGBOT_FRONTEND_URL.replace(/\/$/, "")}/home/pipelines?id=${encodeURIComponent(pipeline.id)}`;
+  }
+
+  if (resetBeforeRun) {
+    const reset = await apiJson(backendUrl, `/api/v1/pipelines/${encodeURIComponent(pipeline.id)}/ws/reset/${encodeURIComponent(sessionType)}`, {
+      method: "POST",
+      token: auth.token,
+    });
+    const resetDiagnostic = {
+      status: isApiFailure(reset) ? "fail" : "ready",
+      http_status: reset.status,
+      code: reset.json.code ?? null,
+      reason: isApiFailure(reset) ? reset.json.msg || "Debug Chat reset failed." : "Debug Chat session reset.",
+    };
+    await writeFile(resetDiagnosticPath, `${JSON.stringify(resetDiagnostic, null, 2)}\n`, "utf8");
+    if (resetDiagnostic.status === "fail") {
+      throw new Error(resetDiagnostic.reason);
+    }
+  }
+
+  const wsUrl = websocketUrl(backendUrl, pipeline.id, sessionType);
+  const loadStartedAt = performance.now();
+  const samples = await runLoad({
+    wsUrl,
+    totalRequests,
+    concurrency,
+    timeoutMs,
+    promptTemplate,
+    expectedPrefix,
+    stream,
+    failOnFinalMismatch,
+    failureSignals,
+  });
+  const loadDurationMs = performance.now() - loadStartedAt;
+  const fakeProviderState = await readFakeProviderState(fakeProviderUrl);
+  if (fakeProviderState) {
+    await writeFile(fakeProviderStatePath, `${JSON.stringify(fakeProviderState, null, 2)}\n`, "utf8");
+  }
+  const metrics = buildMetrics({
+    samples,
+    totalRequests,
+    concurrency,
+    timeoutMs,
+    loadDurationMs,
+    backendUrl,
+    pipelineId: pipeline.id,
+    sessionType,
+    fakeProviderState,
+  });
+  const thresholds = buildThresholds(metrics);
+  const passed = Object.values(thresholds).every((item) => item.pass);
+  result.status = passed ? "pass" : "fail";
+  result.reason = passed
+    ? "Debug Chat WebSocket concurrency probe passed all thresholds."
+    : "Debug Chat WebSocket concurrency probe breached latency or error-rate thresholds.";
+  result.metrics_summary = {
+    requests: metrics.total_requests,
+    concurrency: metrics.concurrency,
+    ok_count: metrics.ok_count,
+    error_count: metrics.error_count,
+    timeout_count: metrics.timeout_count,
+    error_rate: metrics.error_rate,
+    response_p50_ms: metrics.response_duration_ms.p50,
+    response_p95_ms: metrics.response_duration_ms.p95,
+    first_assistant_event_p95_ms: metrics.first_assistant_event_ms.p95,
+    first_assistant_content_p95_ms: metrics.first_assistant_content_ms.p95,
+    first_response_p95_ms: metrics.first_response_ms.p95,
+    throughput_rps: metrics.throughput_rps,
+    status_counts: metrics.status_counts,
+    fake_provider_request_count: metrics.fake_provider?.request_count ?? null,
+    fake_provider_fault_count: metrics.fake_provider?.fault_count ?? null,
+    fake_provider_duration_p95_ms: metrics.provider_timing?.provider_duration_ms.p95 ?? null,
+    langbot_overhead_estimate_p95_ms: metrics.provider_timing?.langbot_overhead_estimate_ms.p95 ?? null,
+    send_to_provider_start_p95_ms: metrics.provider_timing?.send_to_provider_start_ms.p95 ?? null,
+    provider_finish_to_ws_final_p95_ms: metrics.provider_timing?.provider_finish_to_ws_final_ms.p95 ?? null,
+    provider_timing_matched_request_count: metrics.provider_timing?.matched_request_count ?? null,
+  };
+  result.thresholds_summary = thresholds;
+  result.artifacts = {
+    metrics_json: metricsPath,
+    samples_json: samplesPath,
+    fake_provider_state_json: fakeProviderState ? fakeProviderStatePath : "",
+    network_log: paths.networkLog,
+    automation_result_json: paths.automationResultJson,
+    result_json: paths.resultJson,
+  };
+
+  await writeFile(metricsPath, `${JSON.stringify({ ...metrics, thresholds }, null, 2)}\n`, "utf8");
+  await writeFile(samplesPath, `${JSON.stringify(samples, null, 2)}\n`, "utf8");
+} catch (error) {
+  if (!["env_issue", "blocked"].includes(result.status)) {
+    result.status = looksLikeEnvIssue(error) ? "env_issue" : "fail";
+  }
+  result.reason = result.reason || safeReason(error.message);
+} finally {
+  const finishedAt = new Date();
+  result.finished_at = finishedAt.toISOString();
+  result.finished_at_local = localIsoWithOffset(finishedAt);
+  result.duration_ms = finishedAt.getTime() - startedAt.getTime();
+  await mkdir(paths.evidenceDir, { recursive: true });
+  await writeResult(paths, result);
+  console.log(JSON.stringify(result, null, 2));
+}
+
+exit(result.status === "pass" ? 0 : result.status === "env_issue" || result.status === "blocked" ? 2 : 1);
+
+function defaultRequests(id) {
+  return id.includes("space") ? 3 : 12;
+}
+
+function defaultConcurrency(id) {
+  return id.includes("space") ? 1 : 4;
+}
+
+function defaultTimeout(id) {
+  return id.includes("space") ? 120_000 : 30_000;
+}
+
+function defaultP95Budget(id) {
+  return id.includes("space") ? 120_000 : 5_000;
+}
+
+function positiveInteger(value, fallback) {
+  const parsed = Number.parseInt(String(value || ""), 10);
+  return Number.isInteger(parsed) && parsed > 0 ? parsed : fallback;
+}
+
+function nonNegativeInteger(value, fallback) {
+  const parsed = Number.parseInt(String(value ?? ""), 10);
+  return Number.isInteger(parsed) && parsed >= 0 ? parsed : fallback;
+}
+
+function positiveNumber(value, fallback) {
+  const parsed = Number(value || "");
+  return Number.isFinite(parsed) && parsed >= 0 ? parsed : fallback;
+}
+
+function bool(value, fallback) {
+  if (value === undefined || value === "") return fallback;
+  if (/^(1|true|yes|on)$/i.test(String(value))) return true;
+  if (/^(0|false|no|off)$/i.test(String(value))) return false;
+  return fallback;
+}
+
+function textList(value) {
+  return String(value || "")
+    .split(/\r?\n|,/)
+    .map((item) => item.trim())
+    .filter(Boolean);
+}
+
+async function backendReachable(baseUrl) {
+  try {
+    const response = await fetch(`${baseUrl.replace(/\/$/, "")}/healthz`, {
+      signal: AbortSignal.timeout(3000),
+    });
+    return response.status < 500;
+  } catch {
+    return false;
+  }
+}
+
+async function readFakeProviderState(rootUrl) {
+  if (!rootUrl) return null;
+  try {
+    const response = await fetch(`${normalizeProviderRootUrl(rootUrl)}/__qa/config`, {
+      signal: AbortSignal.timeout(3000),
+    });
+    const json = await response.json().catch(() => ({}));
+    return {
+      status: response.ok && json.ok === true ? "loaded" : "unavailable",
+      url: normalizeProviderRootUrl(rootUrl),
+      http_status: response.status,
+      model: json.model || "",
+      config: json.config || {},
+      request_count: Number.isFinite(json.request_count) ? json.request_count : null,
+      recent_requests: Array.isArray(json.recent_requests) ? json.recent_requests : [],
+    };
+  } catch (error) {
+    return {
+      status: "unavailable",
+      url: normalizeProviderRootUrl(rootUrl),
+      reason: safeReason(error.message),
+      request_count: null,
+      recent_requests: [],
+    };
+  }
+}
+
+function normalizeProviderRootUrl(value) {
+  const trimmed = String(value || "").trim().replace(/\/$/, "");
+  return trimmed.endsWith("/v1") ? trimmed.slice(0, -3) : trimmed;
+}
+
+function pipelineIdFromUrl(url) {
+  if (!url) return "";
+  try {
+    const parsed = new URL(url);
+    return parsed.searchParams.get("id") || "";
+  } catch {
+    return "";
+  }
+}
+
+async function resolvePipeline({ backendUrl, token, pipelineUrl, pipelineName }) {
+  const idFromUrl = pipelineIdFromUrl(pipelineUrl);
+  if (idFromUrl) {
+    const response = await apiJson(backendUrl, `/api/v1/pipelines/${encodeURIComponent(idFromUrl)}`, { token });
+    const pipeline = response.json.data?.pipeline;
+    if (isApiFailure(response) || !pipeline?.uuid) {
+      throw new Error(response.json.msg || `Could not load pipeline ${idFromUrl}.`);
+    }
+    return { id: pipeline.uuid, name: pipeline.name || "" };
+  }
+  if (!pipelineName) {
+    throw new Error("Set LANGBOT_E2E_PIPELINE_URL or LANGBOT_E2E_PIPELINE_NAME before running this probe.");
+  }
+  const response = await apiJson(backendUrl, "/api/v1/pipelines", { token });
+  if (isApiFailure(response)) {
+    throw new Error(response.json.msg || "Failed to list pipelines.");
+  }
+  const pipeline = (response.json.data?.pipelines || []).find((item) => item.name === pipelineName);
+  if (!pipeline?.uuid) {
+    throw new Error(`Could not find pipeline named ${pipelineName}.`);
+  }
+  return { id: pipeline.uuid, name: pipeline.name || pipelineName };
+}
+
+function isApiFailure(response) {
+  return response.status >= 400 || (response.json.code !== undefined && response.json.code !== 0);
+}
+
+function websocketUrl(baseUrl, pipelineId, sessionType) {
+  const parsed = new URL(baseUrl);
+  parsed.protocol = parsed.protocol === "https:" ? "wss:" : "ws:";
+  parsed.pathname = `/api/v1/pipelines/${encodeURIComponent(pipelineId)}/ws/connect`;
+  parsed.search = `?session_type=${encodeURIComponent(sessionType)}`;
+  return parsed.toString();
+}
+
+async function runLoad(options) {
+  const samples = [];
+  let nextIndex = 0;
+  const workers = Array.from({ length: options.concurrency }, async () => {
+    while (nextIndex < options.totalRequests) {
+      const index = nextIndex;
+      nextIndex += 1;
+      const sample = await runSingleRequest({ ...options, index });
+      samples.push(sample);
+    }
+  });
+  await Promise.all(workers);
+  return samples.sort((left, right) => left.index - right.index);
+}
+
+function expectedForIndex(prefix, index) {
+  return `${prefix}-${String(index + 1).padStart(4, "0")}`;
+}
+
+function promptForIndex(template, expected) {
+  return template.replaceAll("{expected}", expected);
+}
+
+function runSingleRequest({
+  wsUrl,
+  index,
+  timeoutMs,
+  promptTemplate,
+  expectedPrefix,
+  stream,
+  failOnFinalMismatch,
+  failureSignals,
+}) {
+  return new Promise((resolve) => {
+    const expected = expectedForIndex(expectedPrefix, index);
+    const prompt = promptForIndex(promptTemplate, expected);
+    const sample = {
+      index,
+      status: "running",
+      ok: false,
+      expected_text: expected,
+      prompt,
+      response_text: "",
+      started_at: new Date().toISOString(),
+      started_epoch_ms: Date.now(),
+      connected_at: null,
+      connected_epoch_ms: null,
+      sent_at: null,
+      sent_epoch_ms: null,
+      first_assistant_event_at: null,
+      first_assistant_event_epoch_ms: null,
+      first_assistant_event_ms: null,
+      first_assistant_content_at: null,
+      first_assistant_content_epoch_ms: null,
+      first_assistant_content_ms: null,
+      first_response_at: null,
+      first_response_epoch_ms: null,
+      connected_ms: null,
+      first_response_ms: null,
+      response_duration_ms: null,
+      finished_at: null,
+      finished_epoch_ms: null,
+      event_count: 0,
+      foreign_response_count: 0,
+      last_foreign_response_text: "",
+      error: "",
+      close_code: null,
+      close_reason: "",
+    };
+    let closed = false;
+    let connectedAt = 0;
+    let sentAt = 0;
+    const startedAt = performance.now();
+    let client = null;
+    const timer = setTimeout(() => {
+      finish("timeout", `Timed out after ${timeoutMs} ms.`);
+    }, timeoutMs);
+
+    client = openRawWebSocket(wsUrl, {
+      onOpen() {
+        connectedAt = performance.now();
+        const now = Date.now();
+        sample.connected_at = new Date(now).toISOString();
+        sample.connected_epoch_ms = now;
+        sample.connected_ms = rounded(connectedAt - startedAt);
+      },
+      onMessage(text) {
+        sample.event_count += 1;
+        let data;
+        try {
+          data = JSON.parse(String(text || ""));
+        } catch (error) {
+          finish("error", `Invalid WebSocket JSON: ${error.message}`);
+          return;
+        }
+        appendLine(paths.networkLog, JSON.stringify({
+          request_index: index,
+          type: data.type,
+          session_type: data.session_type || "",
+          role: data.data?.role || "",
+          is_final: data.data?.is_final ?? null,
+          content_preview: redact(String(data.data?.content || data.message || "").slice(0, 200)),
+        })).catch(() => {});
+
+        if (data.type === "connected") {
+          sentAt = performance.now();
+          const now = Date.now();
+          sample.sent_at = new Date(now).toISOString();
+          sample.sent_epoch_ms = now;
+          client.send(JSON.stringify({
+            type: "message",
+            message: [{ type: "Plain", text: prompt }],
+            stream,
+          }));
+          return;
+        }
+        if (data.type === "error") {
+          finish("error", data.message || "WebSocket error message.");
+          return;
+        }
+        if (data.type !== "response" || data.data?.role !== "assistant") return;
+
+        const content = String(data.data.content || "");
+        markFirstAssistantEvent(sample, sentAt);
+        if (content) sample.response_text = content;
+        if (content) markFirstAssistantContent(sample, sentAt);
+        if (content.includes(expected) && sample.first_response_ms === null && sentAt > 0) {
+          const now = Date.now();
+          sample.first_response_at = new Date(now).toISOString();
+          sample.first_response_epoch_ms = now;
+          sample.first_response_ms = rounded(performance.now() - sentAt);
+        }
+        if (data.data.is_final === true) {
+          const ok = sample.response_text.includes(expected);
+          if (ok) {
+            if (sample.first_response_ms === null && sentAt > 0) {
+              sample.first_response_ms = rounded(performance.now() - sentAt);
+            }
+            finish("pass", "");
+          } else if (matchesFailureSignal(sample.response_text, failureSignals)) {
+            finish("app_error", `Assistant final response matched a failure signal: ${sample.response_text}`);
+          } else if (failOnFinalMismatch && !containsLoadToken(sample.response_text, expectedPrefix)) {
+            finish("mismatch", `Final assistant response did not include ${expected}: ${sample.response_text}`);
+          } else {
+            sample.foreign_response_count += 1;
+            sample.last_foreign_response_text = sample.response_text;
+          }
+        }
+      },
+      onError(error) {
+        finish("connection_error", `WebSocket connection error: ${error.message}`);
+      },
+      onClose(event) {
+        sample.close_code = event.code;
+        sample.close_reason = event.reason || "";
+        if (!closed) finish("closed", `WebSocket closed before final assistant response: ${event.code}`);
+      },
+    });
+
+    function finish(status, reason) {
+      if (closed) return;
+      closed = true;
+      clearTimeout(timer);
+      sample.status = status;
+      sample.ok = status === "pass";
+      sample.error = status === "timeout" && sample.foreign_response_count > 0
+        ? `${reason || ""} Saw ${sample.foreign_response_count} foreign assistant response(s); last=${sample.last_foreign_response_text}`
+        : reason || "";
+      if (sentAt > 0) sample.response_duration_ms = rounded(performance.now() - sentAt);
+      else sample.response_duration_ms = rounded(performance.now() - startedAt);
+      const now = Date.now();
+      sample.finished_at = new Date(now).toISOString();
+      sample.finished_epoch_ms = now;
+      try {
+        client?.close();
+      } catch {
+        // Closing a failed socket should not hide the sample result.
+      }
+      resolve(sample);
+    }
+  });
+}
+
+function markFirstAssistantEvent(sample, sentAt) {
+  if (sample.first_assistant_event_ms !== null || sentAt <= 0) return;
+  const now = Date.now();
+  sample.first_assistant_event_at = new Date(now).toISOString();
+  sample.first_assistant_event_epoch_ms = now;
+  sample.first_assistant_event_ms = rounded(performance.now() - sentAt);
+}
+
+function markFirstAssistantContent(sample, sentAt) {
+  if (sample.first_assistant_content_ms !== null || sentAt <= 0) return;
+  const now = Date.now();
+  sample.first_assistant_content_at = new Date(now).toISOString();
+  sample.first_assistant_content_epoch_ms = now;
+  sample.first_assistant_content_ms = rounded(performance.now() - sentAt);
+}
+
+function containsLoadToken(text, prefix) {
+  const escaped = String(prefix).replace(/[.*+?^${}()|[\]\\]/g, "\\$&");
+  return new RegExp(`${escaped}-\\d{4}`).test(String(text || ""));
+}
+
+function matchesFailureSignal(text, signals) {
+  const lower = String(text || "").toLowerCase();
+  return signals.some((signal) => lower.includes(signal.toLowerCase()));
+}
+
+function openRawWebSocket(wsUrl, handlers) {
+  const parsed = new URL(wsUrl);
+  const secure = parsed.protocol === "wss:";
+  const port = Number(parsed.port || (secure ? 443 : 80));
+  const host = parsed.hostname;
+  const path = `${parsed.pathname}${parsed.search}`;
+  const key = crypto.randomBytes(16).toString("base64");
+  const socket = secure
+    ? tls.connect({ host, port, servername: host })
+    : net.connect({ host, port });
+  let opened = false;
+  let closed = false;
+  let buffer = Buffer.alloc(0);
+
+  socket.setNoDelay(true);
+  socket.on("connect", () => {
+    const originProtocol = secure ? "https" : "http";
+    const request = [
+      `GET ${path} HTTP/1.1`,
+      `Host: ${parsed.host}`,
+      "Upgrade: websocket",
+      "Connection: Upgrade",
+      `Sec-WebSocket-Key: ${key}`,
+      "Sec-WebSocket-Version: 13",
+      `Origin: ${originProtocol}://${parsed.host}`,
+      "",
+      "",
+    ].join("\r\n");
+    socket.write(request);
+  });
+  socket.on("data", (chunk) => {
+    buffer = Buffer.concat([buffer, chunk]);
+    if (!opened) {
+      const headerEnd = buffer.indexOf("\r\n\r\n");
+      if (headerEnd === -1) return;
+      const headerText = buffer.slice(0, headerEnd).toString("utf8");
+      buffer = buffer.slice(headerEnd + 4);
+      if (!/^HTTP\/1\.1 101\b/i.test(headerText)) {
+        handlers.onError(new Error(`Handshake failed: ${headerText.split("\r\n")[0] || "missing status"}`));
+        socket.destroy();
+        return;
+      }
+      opened = true;
+      handlers.onOpen();
+    }
+    processFrames();
+  });
+  socket.on("error", (error) => {
+    if (!closed) handlers.onError(error);
+  });
+  socket.on("close", () => {
+    if (closed) return;
+    closed = true;
+    handlers.onClose({ code: null, reason: "" });
+  });
+
+  function processFrames() {
+    while (true) {
+      const frame = readFrame(buffer);
+      if (!frame) return;
+      buffer = buffer.slice(frame.consumed);
+      if (frame.opcode === 0x1) {
+        handlers.onMessage(frame.payload.toString("utf8"));
+      } else if (frame.opcode === 0x8) {
+        const code = frame.payload.length >= 2 ? frame.payload.readUInt16BE(0) : null;
+        const reason = frame.payload.length > 2 ? frame.payload.slice(2).toString("utf8") : "";
+        closed = true;
+        handlers.onClose({ code, reason });
+        socket.end();
+        return;
+      } else if (frame.opcode === 0x9) {
+        writeFrame(socket, 0xA, frame.payload);
+      }
+    }
+  }
+
+  return {
+    send(text) {
+      if (closed || !opened) return;
+      writeFrame(socket, 0x1, Buffer.from(text, "utf8"));
+    },
+    close() {
+      if (closed) return;
+      closed = true;
+      if (!socket.destroyed) {
+        if (opened) writeFrame(socket, 0x8, Buffer.alloc(0));
+        setTimeout(() => socket.end(), 50).unref();
+      }
+    },
+  };
+}
+
+function readFrame(buffer) {
+  if (buffer.length < 2) return null;
+  const first = buffer[0];
+  const second = buffer[1];
+  const opcode = first & 0x0f;
+  const masked = Boolean(second & 0x80);
+  let length = second & 0x7f;
+  let offset = 2;
+  if (length === 126) {
+    if (buffer.length < offset + 2) return null;
+    length = buffer.readUInt16BE(offset);
+    offset += 2;
+  } else if (length === 127) {
+    if (buffer.length < offset + 8) return null;
+    const high = buffer.readUInt32BE(offset);
+    const low = buffer.readUInt32BE(offset + 4);
+    length = high * 2 ** 32 + low;
+    offset += 8;
+  }
+  let mask = null;
+  if (masked) {
+    if (buffer.length < offset + 4) return null;
+    mask = buffer.slice(offset, offset + 4);
+    offset += 4;
+  }
+  if (buffer.length < offset + length) return null;
+  let payload = buffer.slice(offset, offset + length);
+  if (mask) {
+    payload = Buffer.from(payload);
+    for (let index = 0; index < payload.length; index += 1) {
+      payload[index] ^= mask[index % 4];
+    }
+  }
+  return {
+    opcode,
+    payload,
+    consumed: offset + length,
+  };
+}
+
+function writeFrame(socket, opcode, payload) {
+  const body = Buffer.isBuffer(payload) ? payload : Buffer.from(payload || "");
+  const mask = crypto.randomBytes(4);
+  const headerLength = body.length < 126 ? 2 : body.length <= 0xffff ? 4 : 10;
+  const header = Buffer.alloc(headerLength);
+  header[0] = 0x80 | opcode;
+  if (body.length < 126) {
+    header[1] = 0x80 | body.length;
+  } else if (body.length <= 0xffff) {
+    header[1] = 0x80 | 126;
+    header.writeUInt16BE(body.length, 2);
+  } else {
+    header[1] = 0x80 | 127;
+    header.writeUInt32BE(Math.floor(body.length / 2 ** 32), 2);
+    header.writeUInt32BE(body.length >>> 0, 6);
+  }
+  const masked = Buffer.from(body);
+  for (let index = 0; index < masked.length; index += 1) {
+    masked[index] ^= mask[index % 4];
+  }
+  socket.write(Buffer.concat([header, mask, masked]));
+}
+
+function rounded(value) {
+  return Number(value.toFixed(3));
+}
+
+function percentile(values, percentileValue) {
+  if (values.length === 0) return 0;
+  const sorted = [...values].sort((a, b) => a - b);
+  const index = Math.min(sorted.length - 1, Math.ceil((percentileValue / 100) * sorted.length) - 1);
+  return rounded(sorted[index]);
+}
+
+function stats(values) {
+  if (values.length === 0) return { min: 0, p50: 0, p95: 0, p99: 0, max: 0 };
+  return {
+    min: rounded(Math.min(...values)),
+    p50: percentile(values, 50),
+    p95: percentile(values, 95),
+    p99: percentile(values, 99),
+    max: rounded(Math.max(...values)),
+  };
+}
+
+function buildMetrics({ samples, totalRequests, concurrency, timeoutMs, loadDurationMs, backendUrl, pipelineId, sessionType, fakeProviderState }) {
+  const okSamples = samples.filter((sample) => sample.ok);
+  const statusCounts = {};
+  for (const sample of samples) {
+    statusCounts[sample.status] = (statusCounts[sample.status] || 0) + 1;
+  }
+  const errorCount = samples.length - okSamples.length;
+  return {
+    probe: caseId,
+    backend_url: backendUrl,
+    pipeline_id: pipelineId,
+    session_type: sessionType,
+    total_requests: totalRequests,
+    completed_requests: samples.length,
+    concurrency,
+    timeout_ms: timeoutMs,
+    ok_count: okSamples.length,
+    error_count: errorCount,
+    timeout_count: samples.filter((sample) => sample.status === "timeout").length,
+    error_rate: samples.length === 0 ? 1 : rounded(errorCount / samples.length),
+    load_duration_ms: rounded(loadDurationMs),
+    throughput_rps: loadDurationMs <= 0 ? 0 : rounded(okSamples.length / (loadDurationMs / 1000)),
+    status_counts: statusCounts,
+    connected_ms: stats(samples.map((sample) => sample.connected_ms).filter(Number.isFinite)),
+    first_assistant_event_ms: stats(samples.map((sample) => sample.first_assistant_event_ms).filter(Number.isFinite)),
+    first_assistant_content_ms: stats(samples.map((sample) => sample.first_assistant_content_ms).filter(Number.isFinite)),
+    first_response_ms: stats(okSamples.map((sample) => sample.first_response_ms).filter(Number.isFinite)),
+    response_duration_ms: stats(okSamples.map((sample) => sample.response_duration_ms).filter(Number.isFinite)),
+    fake_provider: summarizeFakeProviderState(fakeProviderState),
+    provider_timing: buildProviderTimingMetrics(samples, fakeProviderState),
+    samples,
+  };
+}
+
+function buildThresholds(metrics) {
+  const thresholds = {
+    error_rate: { actual: metrics.error_rate, max: maxErrorRate, pass: metrics.error_rate <= maxErrorRate },
+    response_p95_ms: {
+      actual: metrics.response_duration_ms.p95,
+      max: responseP95BudgetMs,
+      pass: metrics.ok_count > 0 && metrics.response_duration_ms.p95 <= responseP95BudgetMs,
+    },
+  };
+  if (minErrorRate > 0) {
+    thresholds.error_rate_min = {
+      actual: metrics.error_rate,
+      min: minErrorRate,
+      pass: metrics.error_rate >= minErrorRate,
+    };
+  }
+  if (minErrorCount > 0) {
+    thresholds.error_count_min = {
+      actual: metrics.error_count,
+      min: minErrorCount,
+      pass: metrics.error_count >= minErrorCount,
+    };
+  }
+  if (minOkCount > 0) {
+    thresholds.ok_count_min = {
+      actual: metrics.ok_count,
+      min: minOkCount,
+      pass: metrics.ok_count >= minOkCount,
+    };
+  }
+  if (minProviderFaultCount > 0) {
+    const actual = metrics.fake_provider?.fault_count ?? 0;
+    thresholds.fake_provider_fault_count_min = {
+      actual,
+      min: minProviderFaultCount,
+      pass: actual >= minProviderFaultCount,
+    };
+  }
+  if (firstResponseP95BudgetMs > 0) {
+    thresholds.first_response_p95_ms = {
+      actual: metrics.first_response_ms.p95,
+      max: firstResponseP95BudgetMs,
+      pass: metrics.ok_count > 0 && metrics.first_response_ms.p95 <= firstResponseP95BudgetMs,
+    };
+  }
+  return thresholds;
+}
+
+function looksLikeEnvIssue(error) {
+  const message = String(error?.message || error || "");
+  return /fetch failed|ECONNREFUSED|ENOTFOUND|LANGBOT_.*not configured|Could not read recovery_key|Backend did not respond/i.test(message);
+}
+
+function safeReason(value) {
+  return redact(String(value || "")).slice(0, 1000);
+}

skills/skills/langbot-testing/probes/langbot-debug-chat-cross-pipeline-isolation.mjs

@@ -0,0 +1,861 @@
+#!/usr/bin/env node
+
+import crypto from "node:crypto";
+import net from "node:net";
+import tls from "node:tls";
+import { mkdir, writeFile } from "node:fs/promises";
+import { resolve } from "node:path";
+import { env, exit } from "node:process";
+import {
+  apiJson,
+  appendLine,
+  ensureEvidence,
+  evidencePaths,
+  loadEnvFiles,
+  localIsoWithOffset,
+  redact,
+  resetAndAuthLocalUser,
+  writeResult,
+} from "../../../scripts/e2e/lib/langbot-e2e.mjs";
+import {
+  buildProviderTimingMetrics,
+  summarizeFakeProviderState,
+} from "./lib/fake-provider-timing.mjs";
+
+const DEFAULT_LOCAL_PASSWORD = "LangBotE2ELocalPass!2026";
+
+await loadEnvFiles();
+const caseId = env.LBS_CASE_ID || "langbot-debug-chat-cross-pipeline-isolation";
+const paths = evidencePaths(caseId);
+await ensureEvidence(paths);
+
+const startedAt = new Date();
+const metricsPath = resolve(paths.evidenceDir, "metrics.json");
+const samplesPath = resolve(paths.evidenceDir, "samples.json");
+const fakeProviderStatePath = resolve(paths.evidenceDir, "fake-provider-state.json");
+const resetDiagnosticPath = resolve(paths.evidenceDir, "debug-chat-reset-diagnostic.json");
+const backendUrl = env.LANGBOT_BACKEND_URL || "";
+const fakeProviderUrl = env.LANGBOT_FAKE_PROVIDER_URL || "";
+const sessionType = env.LANGBOT_DEBUG_CHAT_LOAD_SESSION_TYPE || env.LANGBOT_E2E_DEBUG_CHAT_SESSION_TYPE || "person";
+const requestsPerPipeline = positiveInteger(env.LANGBOT_DEBUG_CHAT_LOAD_REQUESTS, 6);
+const concurrency = Math.min(requestsPerPipeline * 2, positiveInteger(env.LANGBOT_DEBUG_CHAT_LOAD_CONCURRENCY, 4));
+const timeoutMs = positiveInteger(env.LANGBOT_DEBUG_CHAT_LOAD_TIMEOUT_MS, 30_000);
+const stream = bool(env.LANGBOT_DEBUG_CHAT_LOAD_STREAM, true);
+const resetBeforeRun = bool(env.LANGBOT_DEBUG_CHAT_LOAD_RESET, true);
+const responseP95BudgetMs = positiveNumber(env.LANGBOT_DEBUG_CHAT_LOAD_RESPONSE_P95_MS, 5_000);
+const maxErrorRate = positiveNumber(env.LANGBOT_DEBUG_CHAT_LOAD_MAX_ERROR_RATE, 0);
+const promptTemplate = env.LANGBOT_DEBUG_CHAT_LOAD_PROMPT_TEMPLATE
+  || "请只回复 \"{expected}\"，不要解释，不要添加其他字符。";
+const failureSignals = textList(env.LANGBOT_E2E_FAILURE_SIGNALS || env.LANGBOT_DEBUG_CHAT_LOAD_FAILURE_SIGNALS || "");
+
+const pipelineTargets = [
+  {
+    label: "A",
+    expectedPrefix: "PIPEA",
+    otherPrefix: "PIPEB",
+    url: env.LANGBOT_FAKE_PROVIDER_PIPELINE_A_URL || "",
+    name: env.LANGBOT_FAKE_PROVIDER_PIPELINE_A_NAME || "",
+  },
+  {
+    label: "B",
+    expectedPrefix: "PIPEB",
+    otherPrefix: "PIPEA",
+    url: env.LANGBOT_FAKE_PROVIDER_PIPELINE_B_URL || "",
+    name: env.LANGBOT_FAKE_PROVIDER_PIPELINE_B_NAME || "",
+  },
+];
+
+const result = {
+  source: "automation",
+  case_id: caseId,
+  run_id: paths.runId,
+  status: "fail",
+  reason: "",
+  started_at: startedAt.toISOString(),
+  started_at_local: localIsoWithOffset(startedAt),
+  finished_at: "",
+  finished_at_local: "",
+  duration_ms: 0,
+  backend_url: backendUrl,
+  session_type: sessionType,
+  pipelines: [],
+  load_profile: {
+    requests_per_pipeline: requestsPerPipeline,
+    total_requests: requestsPerPipeline * 2,
+    concurrency,
+    timeout_ms: timeoutMs,
+    stream,
+    reset_before_run: resetBeforeRun,
+  },
+  evidence: {
+    network_log: paths.networkLog,
+    metrics_json: metricsPath,
+    samples_json: samplesPath,
+    fake_provider_state_json: fakeProviderStatePath,
+    debug_chat_reset_diagnostic_json: resetDiagnosticPath,
+    automation_result_json: paths.automationResultJson,
+    result_json: paths.resultJson,
+  },
+  evidence_collected: ["metrics", "network", "api_diagnostic", "filesystem"],
+};
+
+try {
+  if (!backendUrl) {
+    result.status = "env_issue";
+    throw new Error("LANGBOT_BACKEND_URL is not configured.");
+  }
+  if (!["person", "group"].includes(sessionType)) {
+    throw new Error(`LANGBOT_DEBUG_CHAT_LOAD_SESSION_TYPE must be person or group, got ${sessionType}.`);
+  }
+  for (const target of pipelineTargets) {
+    if (!target.url && !target.name) {
+      result.status = "env_issue";
+      throw new Error(`Set LANGBOT_FAKE_PROVIDER_PIPELINE_${target.label}_URL or LANGBOT_FAKE_PROVIDER_PIPELINE_${target.label}_NAME.`);
+    }
+  }
+
+  const backendReady = await backendReachable(backendUrl);
+  if (!backendReady) {
+    result.status = "env_issue";
+    throw new Error(`Backend did not respond at ${backendUrl}.`);
+  }
+
+  const user = env.LANGBOT_E2E_LOGIN_USER || "";
+  const password = env.LANGBOT_E2E_LOGIN_PASSWORD || DEFAULT_LOCAL_PASSWORD;
+  if (!user) {
+    result.status = "env_issue";
+    throw new Error("LANGBOT_E2E_LOGIN_USER is required so this probe can resolve/reset Debug Chat sessions.");
+  }
+  const auth = await resetAndAuthLocalUser({ backendUrl, user, password });
+  const pipelines = [];
+  for (const target of pipelineTargets) {
+    const pipeline = await resolvePipeline({
+      backendUrl,
+      token: auth.token,
+      pipelineUrl: target.url,
+      pipelineName: target.name,
+    });
+    pipelines.push({
+      ...target,
+      id: pipeline.id,
+      name: pipeline.name || target.name,
+      wsUrl: websocketUrl(backendUrl, pipeline.id, sessionType),
+    });
+  }
+  result.pipelines = pipelines.map((pipeline) => ({
+    label: pipeline.label,
+    id: pipeline.id,
+    name: pipeline.name,
+    url: pipeline.url,
+  }));
+
+  if (resetBeforeRun) {
+    const resetDiagnostics = [];
+    for (const pipeline of pipelines) {
+      const reset = await apiJson(backendUrl, `/api/v1/pipelines/${encodeURIComponent(pipeline.id)}/ws/reset/${encodeURIComponent(sessionType)}`, {
+        method: "POST",
+        token: auth.token,
+      });
+      resetDiagnostics.push({
+        pipeline_label: pipeline.label,
+        pipeline_id: pipeline.id,
+        status: isApiFailure(reset) ? "fail" : "ready",
+        http_status: reset.status,
+        code: reset.json.code ?? null,
+        reason: isApiFailure(reset) ? reset.json.msg || "Debug Chat reset failed." : "Debug Chat session reset.",
+      });
+    }
+    await writeFile(resetDiagnosticPath, `${JSON.stringify(resetDiagnostics, null, 2)}\n`, "utf8");
+    const failedReset = resetDiagnostics.find((item) => item.status === "fail");
+    if (failedReset) throw new Error(failedReset.reason);
+  }
+  await resetFakeProvider(fakeProviderUrl);
+
+  const jobs = [];
+  for (let index = 0; index < requestsPerPipeline; index += 1) {
+    for (const pipeline of pipelines) {
+      jobs.push({ ...pipeline, index });
+    }
+  }
+
+  const loadStartedAt = performance.now();
+  const samples = await runLoad({
+    jobs,
+    concurrency,
+    timeoutMs,
+    promptTemplate,
+    stream,
+    failureSignals,
+  });
+  const loadDurationMs = performance.now() - loadStartedAt;
+  const fakeProviderState = await readFakeProviderState(fakeProviderUrl);
+  if (fakeProviderState) {
+    await writeFile(fakeProviderStatePath, `${JSON.stringify(fakeProviderState, null, 2)}\n`, "utf8");
+  }
+  const metrics = buildMetrics({
+    samples,
+    requestsPerPipeline,
+    concurrency,
+    timeoutMs,
+    loadDurationMs,
+    backendUrl,
+    sessionType,
+    fakeProviderState,
+  });
+  const thresholds = buildThresholds(metrics);
+  const passed = Object.values(thresholds).every((item) => item.pass);
+  result.status = passed ? "pass" : "fail";
+  result.reason = passed
+    ? "Debug Chat cross-pipeline isolation probe passed all thresholds."
+    : "Debug Chat cross-pipeline isolation probe found leaks, errors, or latency threshold breaches.";
+  result.metrics_summary = {
+    requests_per_pipeline: metrics.requests_per_pipeline,
+    total_requests: metrics.total_requests,
+    concurrency: metrics.concurrency,
+    ok_count: metrics.ok_count,
+    error_count: metrics.error_count,
+    cross_pipeline_leak_count: metrics.cross_pipeline_leak_count,
+    timeout_count: metrics.timeout_count,
+    error_rate: metrics.error_rate,
+    response_p95_ms: metrics.response_duration_ms.p95,
+    first_response_p95_ms: metrics.first_response_ms.p95,
+    throughput_rps: metrics.throughput_rps,
+    status_counts: metrics.status_counts,
+    by_pipeline: metrics.by_pipeline,
+    fake_provider_request_count: metrics.fake_provider?.request_count ?? null,
+    fake_provider_duration_p95_ms: metrics.provider_timing?.provider_duration_ms.p95 ?? null,
+    langbot_overhead_estimate_p95_ms: metrics.provider_timing?.langbot_overhead_estimate_ms.p95 ?? null,
+    send_to_provider_start_p95_ms: metrics.provider_timing?.send_to_provider_start_ms.p95 ?? null,
+    provider_finish_to_ws_final_p95_ms: metrics.provider_timing?.provider_finish_to_ws_final_ms.p95 ?? null,
+  };
+  result.thresholds_summary = thresholds;
+  result.artifacts = {
+    metrics_json: metricsPath,
+    samples_json: samplesPath,
+    fake_provider_state_json: fakeProviderState ? fakeProviderStatePath : "",
+    network_log: paths.networkLog,
+    automation_result_json: paths.automationResultJson,
+    result_json: paths.resultJson,
+  };
+
+  await writeFile(metricsPath, `${JSON.stringify({ ...metrics, thresholds }, null, 2)}\n`, "utf8");
+  await writeFile(samplesPath, `${JSON.stringify(samples, null, 2)}\n`, "utf8");
+} catch (error) {
+  if (!["env_issue", "blocked"].includes(result.status)) {
+    result.status = looksLikeEnvIssue(error) ? "env_issue" : "fail";
+  }
+  result.reason = result.reason || safeReason(error.message);
+} finally {
+  const finishedAt = new Date();
+  result.finished_at = finishedAt.toISOString();
+  result.finished_at_local = localIsoWithOffset(finishedAt);
+  result.duration_ms = finishedAt.getTime() - startedAt.getTime();
+  await mkdir(paths.evidenceDir, { recursive: true });
+  await writeResult(paths, result);
+  console.log(JSON.stringify(result, null, 2));
+}
+
+exit(result.status === "pass" ? 0 : result.status === "env_issue" || result.status === "blocked" ? 2 : 1);
+
+async function backendReachable(baseUrl) {
+  try {
+    const response = await fetch(`${baseUrl.replace(/\/$/, "")}/healthz`, {
+      signal: AbortSignal.timeout(3000),
+    });
+    return response.status < 500;
+  } catch {
+    return false;
+  }
+}
+
+async function resetFakeProvider(rootUrl) {
+  if (!rootUrl) return;
+  try {
+    await fetch(`${normalizeProviderRootUrl(rootUrl)}/__qa/reset`, {
+      method: "POST",
+      signal: AbortSignal.timeout(3000),
+    });
+  } catch {
+    // Missing fake-provider diagnostics should not hide the isolation result.
+  }
+}
+
+async function readFakeProviderState(rootUrl) {
+  if (!rootUrl) return null;
+  try {
+    const response = await fetch(`${normalizeProviderRootUrl(rootUrl)}/__qa/config`, {
+      signal: AbortSignal.timeout(3000),
+    });
+    const json = await response.json().catch(() => ({}));
+    return {
+      status: response.ok && json.ok === true ? "loaded" : "unavailable",
+      url: normalizeProviderRootUrl(rootUrl),
+      http_status: response.status,
+      model: json.model || "",
+      config: json.config || {},
+      request_count: Number.isFinite(json.request_count) ? json.request_count : null,
+      recent_requests: Array.isArray(json.recent_requests) ? json.recent_requests : [],
+    };
+  } catch (error) {
+    return {
+      status: "unavailable",
+      url: normalizeProviderRootUrl(rootUrl),
+      reason: safeReason(error.message),
+      request_count: null,
+      recent_requests: [],
+    };
+  }
+}
+
+function normalizeProviderRootUrl(value) {
+  const trimmed = String(value || "").trim().replace(/\/$/, "");
+  return trimmed.endsWith("/v1") ? trimmed.slice(0, -3) : trimmed;
+}
+
+function pipelineIdFromUrl(url) {
+  if (!url) return "";
+  try {
+    const parsed = new URL(url);
+    return parsed.searchParams.get("id") || "";
+  } catch {
+    return "";
+  }
+}
+
+async function resolvePipeline({ backendUrl, token, pipelineUrl, pipelineName }) {
+  const idFromUrl = pipelineIdFromUrl(pipelineUrl);
+  if (idFromUrl) {
+    const response = await apiJson(backendUrl, `/api/v1/pipelines/${encodeURIComponent(idFromUrl)}`, { token });
+    const pipeline = response.json.data?.pipeline;
+    if (isApiFailure(response) || !pipeline?.uuid) {
+      throw new Error(response.json.msg || `Could not load pipeline ${idFromUrl}.`);
+    }
+    return { id: pipeline.uuid, name: pipeline.name || "" };
+  }
+  if (!pipelineName) {
+    throw new Error("Set pipeline URL or name before running this probe.");
+  }
+  const response = await apiJson(backendUrl, "/api/v1/pipelines", { token });
+  if (isApiFailure(response)) {
+    throw new Error(response.json.msg || "Failed to list pipelines.");
+  }
+  const pipeline = (response.json.data?.pipelines || []).find((item) => item.name === pipelineName);
+  if (!pipeline?.uuid) {
+    throw new Error(`Could not find pipeline named ${pipelineName}.`);
+  }
+  return { id: pipeline.uuid, name: pipeline.name || pipelineName };
+}
+
+function isApiFailure(response) {
+  return response.status >= 400 || (response.json.code !== undefined && response.json.code !== 0);
+}
+
+function websocketUrl(baseUrl, pipelineId, sessionTypeValue) {
+  const parsed = new URL(baseUrl);
+  parsed.protocol = parsed.protocol === "https:" ? "wss:" : "ws:";
+  parsed.pathname = `/api/v1/pipelines/${encodeURIComponent(pipelineId)}/ws/connect`;
+  parsed.search = `?session_type=${encodeURIComponent(sessionTypeValue)}`;
+  return parsed.toString();
+}
+
+async function runLoad(options) {
+  const samples = [];
+  const queue = [...options.jobs];
+  const workers = Array.from({ length: options.concurrency }, async () => {
+    while (queue.length > 0) {
+      const job = queue.shift();
+      if (!job) continue;
+      const sample = await runSingleRequest({ ...options, job });
+      samples.push(sample);
+    }
+  });
+  await Promise.all(workers);
+  return samples.sort((left, right) => (
+    left.pipeline_label.localeCompare(right.pipeline_label) || left.index - right.index
+  ));
+}
+
+function expectedForIndex(prefix, index) {
+  return `${prefix}-${String(index + 1).padStart(4, "0")}`;
+}
+
+function promptForIndex(template, expected) {
+  return template.replaceAll("{expected}", expected);
+}
+
+function runSingleRequest({
+  job,
+  timeoutMs,
+  promptTemplate,
+  stream,
+  failureSignals,
+}) {
+  return new Promise((resolvePromise) => {
+    const expected = expectedForIndex(job.expectedPrefix, job.index);
+    const prompt = promptForIndex(promptTemplate, expected);
+    const sample = {
+      index: job.index,
+      pipeline_label: job.label,
+      pipeline_id: job.id,
+      pipeline_name: job.name,
+      status: "running",
+      ok: false,
+      expected_text: expected,
+      expected_prefix: job.expectedPrefix,
+      other_prefix: job.otherPrefix,
+      prompt,
+      response_text: "",
+      started_at: new Date().toISOString(),
+      started_epoch_ms: Date.now(),
+      connected_at: null,
+      connected_epoch_ms: null,
+      sent_at: null,
+      sent_epoch_ms: null,
+      first_assistant_event_at: null,
+      first_assistant_event_epoch_ms: null,
+      first_assistant_event_ms: null,
+      first_assistant_content_at: null,
+      first_assistant_content_epoch_ms: null,
+      first_assistant_content_ms: null,
+      first_response_at: null,
+      first_response_epoch_ms: null,
+      connected_ms: null,
+      first_response_ms: null,
+      response_duration_ms: null,
+      finished_at: null,
+      finished_epoch_ms: null,
+      event_count: 0,
+      same_pipeline_foreign_response_count: 0,
+      cross_pipeline_leak_count: 0,
+      last_foreign_response_text: "",
+      error: "",
+      close_code: null,
+      close_reason: "",
+    };
+    let closed = false;
+    let connectedAt = 0;
+    let sentAt = 0;
+    const startedPerf = performance.now();
+    let client = null;
+    const timer = setTimeout(() => {
+      finish("timeout", `Timed out after ${timeoutMs} ms.`);
+    }, timeoutMs);
+
+    client = openRawWebSocket(job.wsUrl, {
+      onOpen() {
+        connectedAt = performance.now();
+        const now = Date.now();
+        sample.connected_at = new Date(now).toISOString();
+        sample.connected_epoch_ms = now;
+        sample.connected_ms = rounded(connectedAt - startedPerf);
+      },
+      onMessage(text) {
+        sample.event_count += 1;
+        let data;
+        try {
+          data = JSON.parse(String(text || ""));
+        } catch (error) {
+          finish("error", `Invalid WebSocket JSON: ${error.message}`);
+          return;
+        }
+        appendLine(paths.networkLog, JSON.stringify({
+          pipeline_label: job.label,
+          request_index: job.index,
+          type: data.type,
+          session_type: data.session_type || "",
+          role: data.data?.role || "",
+          is_final: data.data?.is_final ?? null,
+          content_preview: redact(String(data.data?.content || data.message || "").slice(0, 200)),
+        })).catch(() => {});
+
+        if (data.type === "connected") {
+          sentAt = performance.now();
+          const now = Date.now();
+          sample.sent_at = new Date(now).toISOString();
+          sample.sent_epoch_ms = now;
+          client.send(JSON.stringify({
+            type: "message",
+            message: [{ type: "Plain", text: prompt }],
+            stream,
+          }));
+          return;
+        }
+        if (data.type === "error") {
+          finish("error", data.message || "WebSocket error message.");
+          return;
+        }
+        if (data.type !== "response" || data.data?.role !== "assistant") return;
+
+        const content = String(data.data.content || "");
+        markFirstAssistantEvent(sample, sentAt);
+        if (content) sample.response_text = content;
+        if (content) markFirstAssistantContent(sample, sentAt);
+        if (containsPipelineToken(content, job.otherPrefix)) {
+          sample.cross_pipeline_leak_count += 1;
+          finish("cross_pipeline_leak", `Pipeline ${job.label} received response from ${job.otherPrefix}: ${content}`);
+          return;
+        }
+        if (content.includes(expected) && sample.first_response_ms === null && sentAt > 0) {
+          const now = Date.now();
+          sample.first_response_at = new Date(now).toISOString();
+          sample.first_response_epoch_ms = now;
+          sample.first_response_ms = rounded(performance.now() - sentAt);
+        }
+        if (data.data.is_final === true) {
+          const ok = sample.response_text.includes(expected);
+          if (ok) {
+            if (sample.first_response_ms === null && sentAt > 0) {
+              const now = Date.now();
+              sample.first_response_at = new Date(now).toISOString();
+              sample.first_response_epoch_ms = now;
+              sample.first_response_ms = rounded(performance.now() - sentAt);
+            }
+            finish("pass", "");
+          } else if (matchesFailureSignal(sample.response_text, failureSignals)) {
+            finish("app_error", `Assistant final response matched a failure signal: ${sample.response_text}`);
+          } else if (containsPipelineToken(sample.response_text, job.expectedPrefix)) {
+            sample.same_pipeline_foreign_response_count += 1;
+            sample.last_foreign_response_text = sample.response_text;
+          } else {
+            finish("mismatch", `Final assistant response did not include ${expected}: ${sample.response_text}`);
+          }
+        }
+      },
+      onError(error) {
+        finish("connection_error", `WebSocket connection error: ${error.message}`);
+      },
+      onClose(event) {
+        sample.close_code = event.code;
+        sample.close_reason = event.reason || "";
+        if (!closed) finish("closed", `WebSocket closed before final assistant response: ${event.code}`);
+      },
+    });
+
+    function finish(status, reason) {
+      if (closed) return;
+      closed = true;
+      clearTimeout(timer);
+      sample.status = status;
+      sample.ok = status === "pass";
+      sample.error = status === "timeout" && sample.same_pipeline_foreign_response_count > 0
+        ? `${reason || ""} Saw ${sample.same_pipeline_foreign_response_count} same-pipeline foreign assistant response(s); last=${sample.last_foreign_response_text}`
+        : reason || "";
+      if (sentAt > 0) sample.response_duration_ms = rounded(performance.now() - sentAt);
+      else sample.response_duration_ms = rounded(performance.now() - startedPerf);
+      const now = Date.now();
+      sample.finished_at = new Date(now).toISOString();
+      sample.finished_epoch_ms = now;
+      try {
+        client?.close();
+      } catch {
+        // Closing a failed socket should not hide the sample result.
+      }
+      resolvePromise(sample);
+    }
+  });
+}
+
+function markFirstAssistantEvent(sample, sentAt) {
+  if (sample.first_assistant_event_ms !== null || sentAt <= 0) return;
+  const now = Date.now();
+  sample.first_assistant_event_at = new Date(now).toISOString();
+  sample.first_assistant_event_epoch_ms = now;
+  sample.first_assistant_event_ms = rounded(performance.now() - sentAt);
+}
+
+function markFirstAssistantContent(sample, sentAt) {
+  if (sample.first_assistant_content_ms !== null || sentAt <= 0) return;
+  const now = Date.now();
+  sample.first_assistant_content_at = new Date(now).toISOString();
+  sample.first_assistant_content_epoch_ms = now;
+  sample.first_assistant_content_ms = rounded(performance.now() - sentAt);
+}
+
+function containsPipelineToken(text, prefix) {
+  const escaped = String(prefix).replace(/[.*+?^${}()|[\]\\]/g, "\\$&");
+  return new RegExp(`${escaped}-\\d{4}`).test(String(text || ""));
+}
+
+function matchesFailureSignal(text, signals) {
+  const lower = String(text || "").toLowerCase();
+  return signals.some((signal) => lower.includes(signal.toLowerCase()));
+}
+
+function openRawWebSocket(wsUrl, handlers) {
+  const parsed = new URL(wsUrl);
+  const secure = parsed.protocol === "wss:";
+  const port = Number(parsed.port || (secure ? 443 : 80));
+  const host = parsed.hostname;
+  const path = `${parsed.pathname}${parsed.search}`;
+  const key = crypto.randomBytes(16).toString("base64");
+  const socket = secure
+    ? tls.connect({ host, port, servername: host })
+    : net.connect({ host, port });
+  let opened = false;
+  let closed = false;
+  let buffer = Buffer.alloc(0);
+
+  socket.setNoDelay(true);
+  socket.on("connect", () => {
+    const originProtocol = secure ? "https" : "http";
+    const request = [
+      `GET ${path} HTTP/1.1`,
+      `Host: ${parsed.host}`,
+      "Upgrade: websocket",
+      "Connection: Upgrade",
+      `Sec-WebSocket-Key: ${key}`,
+      "Sec-WebSocket-Version: 13",
+      `Origin: ${originProtocol}://${parsed.host}`,
+      "",
+      "",
+    ].join("\r\n");
+    socket.write(request);
+  });
+  socket.on("data", (chunk) => {
+    buffer = Buffer.concat([buffer, chunk]);
+    if (!opened) {
+      const headerEnd = buffer.indexOf("\r\n\r\n");
+      if (headerEnd === -1) return;
+      const headerText = buffer.slice(0, headerEnd).toString("utf8");
+      buffer = buffer.slice(headerEnd + 4);
+      if (!/^HTTP\/1\.1 101\b/i.test(headerText)) {
+        handlers.onError(new Error(`Handshake failed: ${headerText.split("\r\n")[0] || "missing status"}`));
+        socket.destroy();
+        return;
+      }
+      opened = true;
+      handlers.onOpen();
+    }
+    processFrames();
+  });
+  socket.on("error", (error) => {
+    if (!closed) handlers.onError(error);
+  });
+  socket.on("close", () => {
+    if (closed) return;
+    closed = true;
+    handlers.onClose({ code: null, reason: "" });
+  });
+
+  function processFrames() {
+    while (true) {
+      const frame = readFrame(buffer);
+      if (!frame) return;
+      buffer = buffer.slice(frame.consumed);
+      if (frame.opcode === 0x1) {
+        handlers.onMessage(frame.payload.toString("utf8"));
+      } else if (frame.opcode === 0x8) {
+        const code = frame.payload.length >= 2 ? frame.payload.readUInt16BE(0) : null;
+        const reason = frame.payload.length > 2 ? frame.payload.slice(2).toString("utf8") : "";
+        closed = true;
+        handlers.onClose({ code, reason });
+        socket.end();
+        return;
+      } else if (frame.opcode === 0x9) {
+        writeFrame(socket, 0xA, frame.payload);
+      }
+    }
+  }
+
+  return {
+    send(text) {
+      if (closed || !opened) return;
+      writeFrame(socket, 0x1, Buffer.from(text, "utf8"));
+    },
+    close() {
+      if (closed) return;
+      closed = true;
+      if (!socket.destroyed) {
+        if (opened) writeFrame(socket, 0x8, Buffer.alloc(0));
+        setTimeout(() => socket.end(), 50).unref();
+      }
+    },
+  };
+}
+
+function readFrame(buffer) {
+  if (buffer.length < 2) return null;
+  const first = buffer[0];
+  const second = buffer[1];
+  const opcode = first & 0x0f;
+  const masked = Boolean(second & 0x80);
+  let length = second & 0x7f;
+  let offset = 2;
+  if (length === 126) {
+    if (buffer.length < offset + 2) return null;
+    length = buffer.readUInt16BE(offset);
+    offset += 2;
+  } else if (length === 127) {
+    if (buffer.length < offset + 8) return null;
+    const high = buffer.readUInt32BE(offset);
+    const low = buffer.readUInt32BE(offset + 4);
+    length = high * 2 ** 32 + low;
+    offset += 8;
+  }
+  let mask = null;
+  if (masked) {
+    if (buffer.length < offset + 4) return null;
+    mask = buffer.slice(offset, offset + 4);
+    offset += 4;
+  }
+  if (buffer.length < offset + length) return null;
+  let payload = buffer.slice(offset, offset + length);
+  if (mask) {
+    payload = Buffer.from(payload);
+    for (let index = 0; index < payload.length; index += 1) {
+      payload[index] ^= mask[index % 4];
+    }
+  }
+  return {
+    opcode,
+    payload,
+    consumed: offset + length,
+  };
+}
+
+function writeFrame(socket, opcode, payload) {
+  const body = Buffer.isBuffer(payload) ? payload : Buffer.from(payload || "");
+  const mask = crypto.randomBytes(4);
+  const headerLength = body.length < 126 ? 2 : body.length <= 0xffff ? 4 : 10;
+  const header = Buffer.alloc(headerLength);
+  header[0] = 0x80 | opcode;
+  if (body.length < 126) {
+    header[1] = 0x80 | body.length;
+  } else if (body.length <= 0xffff) {
+    header[1] = 0x80 | 126;
+    header.writeUInt16BE(body.length, 2);
+  } else {
+    header[1] = 0x80 | 127;
+    header.writeUInt32BE(Math.floor(body.length / 2 ** 32), 2);
+    header.writeUInt32BE(body.length >>> 0, 6);
+  }
+  const masked = Buffer.from(body);
+  for (let index = 0; index < masked.length; index += 1) {
+    masked[index] ^= mask[index % 4];
+  }
+  socket.write(Buffer.concat([header, mask, masked]));
+}
+
+function buildMetrics({ samples, requestsPerPipeline, concurrency, timeoutMs, loadDurationMs, backendUrl, sessionType, fakeProviderState }) {
+  const okSamples = samples.filter((sample) => sample.ok);
+  const statusCounts = {};
+  const byPipeline = {};
+  for (const sample of samples) {
+    statusCounts[sample.status] = (statusCounts[sample.status] || 0) + 1;
+    if (!byPipeline[sample.pipeline_label]) {
+      byPipeline[sample.pipeline_label] = {
+        ok_count: 0,
+        error_count: 0,
+        cross_pipeline_leak_count: 0,
+        timeout_count: 0,
+      };
+    }
+    if (sample.ok) byPipeline[sample.pipeline_label].ok_count += 1;
+    else byPipeline[sample.pipeline_label].error_count += 1;
+    byPipeline[sample.pipeline_label].cross_pipeline_leak_count += sample.cross_pipeline_leak_count || 0;
+    if (sample.status === "timeout") byPipeline[sample.pipeline_label].timeout_count += 1;
+  }
+  const errorCount = samples.length - okSamples.length;
+  return {
+    probe: caseId,
+    backend_url: backendUrl,
+    session_type: sessionType,
+    requests_per_pipeline: requestsPerPipeline,
+    total_requests: requestsPerPipeline * 2,
+    completed_requests: samples.length,
+    concurrency,
+    timeout_ms: timeoutMs,
+    ok_count: okSamples.length,
+    error_count: errorCount,
+    timeout_count: samples.filter((sample) => sample.status === "timeout").length,
+    cross_pipeline_leak_count: samples.reduce((count, sample) => count + (sample.cross_pipeline_leak_count || 0), 0),
+    error_rate: samples.length === 0 ? 1 : rounded(errorCount / samples.length),
+    load_duration_ms: rounded(loadDurationMs),
+    throughput_rps: loadDurationMs <= 0 ? 0 : rounded(okSamples.length / (loadDurationMs / 1000)),
+    status_counts: statusCounts,
+    by_pipeline: byPipeline,
+    connected_ms: stats(samples.map((sample) => sample.connected_ms).filter(Number.isFinite)),
+    first_assistant_event_ms: stats(samples.map((sample) => sample.first_assistant_event_ms).filter(Number.isFinite)),
+    first_assistant_content_ms: stats(samples.map((sample) => sample.first_assistant_content_ms).filter(Number.isFinite)),
+    first_response_ms: stats(okSamples.map((sample) => sample.first_response_ms).filter(Number.isFinite)),
+    response_duration_ms: stats(okSamples.map((sample) => sample.response_duration_ms).filter(Number.isFinite)),
+    fake_provider: summarizeFakeProviderState(fakeProviderState),
+    provider_timing: buildProviderTimingMetrics(samples, fakeProviderState),
+    samples,
+  };
+}
+
+function buildThresholds(metrics) {
+  return {
+    cross_pipeline_leak_count: {
+      actual: metrics.cross_pipeline_leak_count,
+      max: 0,
+      pass: metrics.cross_pipeline_leak_count === 0,
+    },
+    error_rate: {
+      actual: metrics.error_rate,
+      max: maxErrorRate,
+      pass: metrics.error_rate <= maxErrorRate,
+    },
+    response_p95_ms: {
+      actual: metrics.response_duration_ms.p95,
+      max: responseP95BudgetMs,
+      pass: metrics.ok_count > 0 && metrics.response_duration_ms.p95 <= responseP95BudgetMs,
+    },
+  };
+}
+
+function positiveInteger(value, fallback) {
+  const parsed = Number.parseInt(String(value || ""), 10);
+  return Number.isInteger(parsed) && parsed > 0 ? parsed : fallback;
+}
+
+function positiveNumber(value, fallback) {
+  const parsed = Number(value || "");
+  return Number.isFinite(parsed) && parsed >= 0 ? parsed : fallback;
+}
+
+function bool(value, fallback) {
+  if (value === undefined || value === "") return fallback;
+  if (/^(1|true|yes|on)$/i.test(String(value))) return true;
+  if (/^(0|false|no|off)$/i.test(String(value))) return false;
+  return fallback;
+}
+
+function textList(value) {
+  return String(value || "")
+    .split(/\r?\n|,/)
+    .map((item) => item.trim())
+    .filter(Boolean);
+}
+
+function rounded(value) {
+  return Number(value.toFixed(3));
+}
+
+function percentile(values, percentileValue) {
+  if (values.length === 0) return 0;
+  const sorted = [...values].sort((a, b) => a - b);
+  const index = Math.min(sorted.length - 1, Math.ceil((percentileValue / 100) * sorted.length) - 1);
+  return rounded(sorted[index]);
+}
+
+function stats(values) {
+  if (values.length === 0) return { min: 0, p50: 0, p95: 0, p99: 0, max: 0 };
+  return {
+    min: rounded(Math.min(...values)),
+    p50: percentile(values, 50),
+    p95: percentile(values, 95),
+    p99: percentile(values, 99),
+    max: rounded(Math.max(...values)),
+  };
+}
+
+function looksLikeEnvIssue(error) {
+  const message = String(error?.message || error || "");
+  return /fetch failed|ECONNREFUSED|ENOTFOUND|LANGBOT_.*not configured|Could not read recovery_key|Backend did not respond/i.test(message);
+}
+
+function safeReason(value) {
+  return redact(String(value || "")).slice(0, 1000);
+}

skills/skills/langbot-testing/probes/langbot-fault-taxonomy-contract.mjs

@@ -0,0 +1,159 @@
+#!/usr/bin/env node
+
+import { mkdir, writeFile } from "node:fs/promises";
+import { join, resolve } from "node:path";
+import { env, exit } from "node:process";
+
+function pad(value, size = 2) {
+  return String(value).padStart(size, "0");
+}
+
+function localIsoWithOffset(date = new Date()) {
+  const offsetMinutes = -date.getTimezoneOffset();
+  const sign = offsetMinutes >= 0 ? "+" : "-";
+  const absolute = Math.abs(offsetMinutes);
+  return [
+    `${date.getFullYear()}-${pad(date.getMonth() + 1)}-${pad(date.getDate())}`,
+    `T${pad(date.getHours())}:${pad(date.getMinutes())}:${pad(date.getSeconds())}.${pad(date.getMilliseconds(), 3)}`,
+    `${sign}${pad(Math.floor(absolute / 60))}:${pad(absolute % 60)}`,
+  ].join("");
+}
+
+function timestampSlug(date = new Date()) {
+  return date.toISOString().replace(/\.\d{3}Z$/, "Z").replace(/[^0-9A-Za-z]+/g, "-").replace(/^-|-$/g, "");
+}
+
+const scenarios = [
+  {
+    id: "provider-timeout",
+    target: "provider",
+    injected_fault: "fake provider request exceeds the configured timeout",
+    expected_status: "env_issue",
+    recovery_check: "provider route is reachable or the case remains outside product pass/fail",
+    cleanup: "stop fake provider or reset proxy route",
+  },
+  {
+    id: "plugin-runtime-disconnect",
+    target: "plugin-runtime",
+    injected_fault: "runtime control channel disconnects during an action",
+    expected_status: "fail",
+    recovery_check: "runtime reconnects and a deterministic plugin action succeeds",
+    cleanup: "restart the local plugin runtime process",
+  },
+  {
+    id: "mcp-stdio-server-exit",
+    target: "mcp",
+    injected_fault: "stdio server exits mid-call",
+    expected_status: "fail",
+    recovery_check: "server can be registered again and exposes the expected tool",
+    cleanup: "remove temporary MCP server registration",
+  },
+  {
+    id: "operator-missing-login",
+    target: "webui",
+    injected_fault: "browser profile is not authenticated",
+    expected_status: "blocked",
+    recovery_check: "authenticated profile can open the same WebUI origin",
+    cleanup: "no product cleanup; refresh local login state",
+  },
+  {
+    id: "transient-marketplace-timeout",
+    target: "marketplace",
+    injected_fault: "marketplace request times out once and then succeeds",
+    expected_status: "flaky",
+    recovery_check: "rerun passes with the same product revision and no code change",
+    cleanup: "clear retry-only evidence and keep the run classified as flaky",
+  },
+];
+
+function validateScenario(scenario) {
+  const missing = ["id", "target", "injected_fault", "expected_status", "recovery_check", "cleanup"]
+    .filter((key) => !scenario[key]);
+  const allowedStatuses = new Set(["pass", "fail", "blocked", "env_issue", "flaky"]);
+  return {
+    id: scenario.id,
+    pass: missing.length === 0 && allowedStatuses.has(scenario.expected_status),
+    missing,
+    expected_status: scenario.expected_status,
+  };
+}
+
+async function main() {
+  const root = resolve(env.LBS_ROOT || process.cwd());
+  const caseId = "langbot-fault-taxonomy-contract";
+  const runId = env.LBS_RUN_ID || `${timestampSlug()}-${caseId}`;
+  const evidenceDir = resolve(env.LBS_EVIDENCE_DIR || join(root, "reports", "evidence", runId));
+  await mkdir(evidenceDir, { recursive: true });
+
+  const startedAt = new Date();
+  const validations = scenarios.map(validateScenario);
+  const statusCounts = {};
+  for (const scenario of scenarios) {
+    statusCounts[scenario.expected_status] = (statusCounts[scenario.expected_status] || 0) + 1;
+  }
+  const metrics = {
+    probe: caseId,
+    scenario_count: scenarios.length,
+    status_counts: statusCounts,
+    scenarios,
+    validations,
+  };
+  const thresholds = {
+    scenario_count: { actual: scenarios.length, min: 5, pass: scenarios.length >= 5 },
+    invalid_scenario_count: {
+      actual: validations.filter((item) => !item.pass).length,
+      max: 0,
+      pass: validations.every((item) => item.pass),
+    },
+    cleanup_declared_count: {
+      actual: scenarios.filter((item) => item.cleanup).length,
+      min: scenarios.length,
+      pass: scenarios.every((item) => item.cleanup),
+    },
+  };
+  const status = Object.values(thresholds).every((item) => item.pass) ? "pass" : "fail";
+  const metricsPath = join(evidenceDir, "metrics.json");
+  const faultModelPath = join(evidenceDir, "fault-model.json");
+  const automationResultPath = join(evidenceDir, "automation-result.json");
+  const resultPath = join(evidenceDir, "result.json");
+
+  await writeFile(metricsPath, `${JSON.stringify(metrics, null, 2)}\n`, "utf8");
+  await writeFile(faultModelPath, `${JSON.stringify({ scenarios }, null, 2)}\n`, "utf8");
+
+  const finishedAt = new Date();
+  const result = {
+    source: "automation",
+    case_id: caseId,
+    run_id: runId,
+    status,
+    reason: status === "pass"
+      ? "Fault taxonomy contract declares status, recovery, and cleanup for every scenario."
+      : "Fault taxonomy contract is missing required scenario fields.",
+    started_at: startedAt.toISOString(),
+    started_at_local: localIsoWithOffset(startedAt),
+    finished_at: finishedAt.toISOString(),
+    finished_at_local: localIsoWithOffset(finishedAt),
+    duration_ms: finishedAt.getTime() - startedAt.getTime(),
+    metrics_summary: {
+      scenario_count: metrics.scenario_count,
+      status_counts: metrics.status_counts,
+      invalid_scenario_count: thresholds.invalid_scenario_count.actual,
+    },
+    thresholds_summary: thresholds,
+    artifacts: {
+      metrics_json: metricsPath,
+      fault_model_json: faultModelPath,
+      automation_result_json: automationResultPath,
+      result_json: resultPath,
+    },
+    evidence_collected: ["metrics", "filesystem"],
+  };
+
+  const resultText = `${JSON.stringify(result, null, 2)}\n`;
+  await writeFile(automationResultPath, resultText, "utf8");
+  await writeFile(resultPath, resultText, "utf8");
+  console.log(JSON.stringify(result, null, 2));
+  exit(status === "pass" ? 0 : 1);
+}
+
+await main();

skills/skills/langbot-testing/probes/langbot-live-backend-latency.mjs

@@ -0,0 +1,212 @@
+#!/usr/bin/env node
+
+import { mkdir, writeFile } from "node:fs/promises";
+import { join, resolve } from "node:path";
+import { env, exit } from "node:process";
+
+function pad(value, size = 2) {
+  return String(value).padStart(size, "0");
+}
+
+function localIsoWithOffset(date = new Date()) {
+  const offsetMinutes = -date.getTimezoneOffset();
+  const sign = offsetMinutes >= 0 ? "+" : "-";
+  const absolute = Math.abs(offsetMinutes);
+  return [
+    `${date.getFullYear()}-${pad(date.getMonth() + 1)}-${pad(date.getDate())}`,
+    `T${pad(date.getHours())}:${pad(date.getMinutes())}:${pad(date.getSeconds())}.${pad(date.getMilliseconds(), 3)}`,
+    `${sign}${pad(Math.floor(absolute / 60))}:${pad(absolute % 60)}`,
+  ].join("");
+}
+
+function timestampSlug(date = new Date()) {
+  return date.toISOString().replace(/\.\d{3}Z$/, "Z").replace(/[^0-9A-Za-z]+/g, "-").replace(/^-|-$/g, "");
+}
+
+function percentile(values, percentileValue) {
+  if (values.length === 0) return 0;
+  const sorted = [...values].sort((a, b) => a - b);
+  const index = Math.min(sorted.length - 1, Math.ceil((percentileValue / 100) * sorted.length) - 1);
+  return Number(sorted[index].toFixed(3));
+}
+
+function stats(values) {
+  if (values.length === 0) return { min: 0, p50: 0, p95: 0, p99: 0, max: 0 };
+  return {
+    min: Number(Math.min(...values).toFixed(3)),
+    p50: percentile(values, 50),
+    p95: percentile(values, 95),
+    p99: percentile(values, 99),
+    max: Number(Math.max(...values).toFixed(3)),
+  };
+}
+
+function parseJsonList(value, fallback) {
+  if (!value) return fallback;
+  try {
+    const parsed = JSON.parse(value);
+    return Array.isArray(parsed) && parsed.every((item) => typeof item === "string") ? parsed : fallback;
+  } catch {
+    return fallback;
+  }
+}
+
+function joinUrl(baseUrl, path) {
+  const base = baseUrl.replace(/\/+$/, "");
+  const suffix = path.startsWith("/") ? path : `/${path}`;
+  return `${base}${suffix}`;
+}
+
+async function fetchOnce(url, timeoutMs) {
+  const controller = new AbortController();
+  const timeout = setTimeout(() => controller.abort(), timeoutMs);
+  const started = performance.now();
+  try {
+    const response = await fetch(url, { method: "GET", signal: controller.signal });
+    await response.arrayBuffer();
+    const latencyMs = performance.now() - started;
+    return {
+      url,
+      ok: response.status < 500,
+      status: response.status,
+      latency_ms: Number(latencyMs.toFixed(3)),
+      error: "",
+    };
+  } catch (error) {
+    const latencyMs = performance.now() - started;
+    return {
+      url,
+      ok: false,
+      status: 0,
+      latency_ms: Number(latencyMs.toFixed(3)),
+      error: error instanceof Error ? error.message : String(error),
+    };
+  } finally {
+    clearTimeout(timeout);
+  }
+}
+
+async function runBatches(urls, totalRequests, concurrency, timeoutMs) {
+  const queue = Array.from({ length: totalRequests }, (_, index) => urls[index % urls.length]);
+  const results = [];
+  while (queue.length > 0) {
+    const batch = queue.splice(0, concurrency);
+    results.push(...await Promise.all(batch.map((url) => fetchOnce(url, timeoutMs))));
+  }
+  return results;
+}
+
+async function main() {
+  const root = resolve(env.LBS_ROOT || process.cwd());
+  const caseId = "langbot-live-backend-latency";
+  const runId = env.LBS_RUN_ID || `${timestampSlug()}-${caseId}`;
+  const evidenceDir = resolve(env.LBS_EVIDENCE_DIR || join(root, "reports", "evidence", runId));
+  await mkdir(evidenceDir, { recursive: true });
+
+  const startedAt = new Date();
+  const backendUrl = env.LANGBOT_BACKEND_URL || "";
+  const endpoints = parseJsonList(env.LANGBOT_PERF_ENDPOINTS_JSON, ["/healthz"]);
+  const totalRequests = Number(env.LANGBOT_PERF_REQUESTS || "12");
+  const concurrency = Number(env.LANGBOT_PERF_CONCURRENCY || "2");
+  const timeoutMs = Number(env.LANGBOT_PERF_TIMEOUT_MS || "5000");
+  const p95BudgetMs = Number(env.LANGBOT_PERF_BACKEND_P95_MS || "1000");
+  const maxErrorRate = Number(env.LANGBOT_PERF_MAX_ERROR_RATE || "0");
+  const metricsPath = join(evidenceDir, "metrics.json");
+  const networkLogPath = join(evidenceDir, "network.log");
+  const automationResultPath = join(evidenceDir, "automation-result.json");
+  const resultPath = join(evidenceDir, "result.json");
+
+  let status = "fail";
+  let reason = "";
+  let results = [];
+  if (!backendUrl) {
+    status = "env_issue";
+    reason = "LANGBOT_BACKEND_URL is not configured.";
+  } else {
+    const urls = endpoints.map((path) => joinUrl(backendUrl, path));
+    results = await runBatches(urls, totalRequests, concurrency, timeoutMs);
+    const okCount = results.filter((item) => item.ok).length;
+    const errorCount = results.length - okCount;
+    const errorRate = results.length === 0 ? 1 : errorCount / results.length;
+    const latencies = results.filter((item) => item.ok).map((item) => item.latency_ms);
+    const latencyStats = stats(latencies);
+    const allConnectionFailures = results.length > 0 && results.every((item) => item.status === 0);
+    if (allConnectionFailures) {
+      status = "env_issue";
+      reason = `Backend did not respond at ${backendUrl}.`;
+    } else if (latencyStats.p95 <= p95BudgetMs && errorRate <= maxErrorRate) {
+      status = "pass";
+      reason = "Live backend latency probe passed all thresholds.";
+    } else {
+      status = "fail";
+      reason = "Live backend latency probe breached latency or error-rate thresholds.";
+    }
+  }
+
+  const statusCounts = {};
+  for (const item of results) {
+    const key = item.status === 0 ? "network_error" : String(item.status);
+    statusCounts[key] = (statusCounts[key] || 0) + 1;
+  }
+  const okResults = results.filter((item) => item.ok);
+  const metrics = {
+    probe: caseId,
+    backend_url: backendUrl,
+    endpoints,
+    total_requests: totalRequests,
+    concurrency,
+    timeout_ms: timeoutMs,
+    ok_count: okResults.length,
+    error_count: results.length - okResults.length,
+    error_rate: results.length === 0 ? 1 : Number(((results.length - okResults.length) / results.length).toFixed(4)),
+    latency_ms: stats(okResults.map((item) => item.latency_ms)),
+    status_counts: statusCounts,
+  };
+  const thresholds = {
+    backend_p95_ms: { actual: metrics.latency_ms.p95, max: p95BudgetMs, pass: metrics.latency_ms.p95 <= p95BudgetMs },
+    error_rate: { actual: metrics.error_rate, max: maxErrorRate, pass: metrics.error_rate <= maxErrorRate },
+  };
+
+  await writeFile(metricsPath, `${JSON.stringify({ ...metrics, samples: results }, null, 2)}\n`, "utf8");
+  await writeFile(networkLogPath, results.map((item) => JSON.stringify(item)).join("\n") + (results.length > 0 ? "\n" : ""), "utf8");
+
+  const finishedAt = new Date();
+  const result = {
+    source: "automation",
+    case_id: caseId,
+    run_id: runId,
+    status,
+    reason,
+    started_at: startedAt.toISOString(),
+    started_at_local: localIsoWithOffset(startedAt),
+    finished_at: finishedAt.toISOString(),
+    finished_at_local: localIsoWithOffset(finishedAt),
+    duration_ms: finishedAt.getTime() - startedAt.getTime(),
+    url: backendUrl,
+    metrics_summary: {
+      requests: metrics.total_requests,
+      concurrency: metrics.concurrency,
+      ok_count: metrics.ok_count,
+      error_rate: metrics.error_rate,
+      latency_p50_ms: metrics.latency_ms.p50,
+      latency_p95_ms: metrics.latency_ms.p95,
+      status_counts: metrics.status_counts,
+    },
+    thresholds_summary: thresholds,
+    artifacts: {
+      metrics_json: metricsPath,
+      network_log: networkLogPath,
+      automation_result_json: automationResultPath,
+      result_json: resultPath,
+    },
+    evidence_collected: ["metrics", "network", "api_diagnostic", "filesystem"],
+  };
+
+  const resultText = `${JSON.stringify(result, null, 2)}\n`;
+  await writeFile(automationResultPath, resultText, "utf8");
+  await writeFile(resultPath, resultText, "utf8");
+  console.log(JSON.stringify(result, null, 2));
+  exit(status === "pass" ? 0 : status === "env_issue" ? 2 : 1);
+}
+
+await main();

skills/skills/langbot-testing/probes/langbot-live-backend-log-health.mjs

@@ -0,0 +1,205 @@
+#!/usr/bin/env node
+
+import { existsSync, readdirSync, statSync } from "node:fs";
+import { mkdir, readFile, writeFile } from "node:fs/promises";
+import { join, resolve } from "node:path";
+import { env, exit } from "node:process";
+
+function pad(value, size = 2) {
+  return String(value).padStart(size, "0");
+}
+
+function localIsoWithOffset(date = new Date()) {
+  const offsetMinutes = -date.getTimezoneOffset();
+  const sign = offsetMinutes >= 0 ? "+" : "-";
+  const absolute = Math.abs(offsetMinutes);
+  return [
+    `${date.getFullYear()}-${pad(date.getMonth() + 1)}-${pad(date.getDate())}`,
+    `T${pad(date.getHours())}:${pad(date.getMinutes())}:${pad(date.getSeconds())}.${pad(date.getMilliseconds(), 3)}`,
+    `${sign}${pad(Math.floor(absolute / 60))}:${pad(absolute % 60)}`,
+  ].join("");
+}
+
+function timestampSlug(date = new Date()) {
+  return date.toISOString().replace(/\.\d{3}Z$/, "Z").replace(/[^0-9A-Za-z]+/g, "-").replace(/^-|-$/g, "");
+}
+
+function repoRootFromEnv(root) {
+  return env.LANGBOT_REPO ? resolve(env.LANGBOT_REPO) : resolve(root, "..");
+}
+
+function latestBackendLog(root) {
+  const explicit = env.LANGBOT_BACKEND_LOG;
+  if (explicit) return resolve(explicit);
+
+  const logsDir = join(repoRootFromEnv(root), "data", "logs");
+  if (!existsSync(logsDir)) return "";
+  const candidates = readdirSync(logsDir)
+    .filter((name) => /^langbot-.*\.log$/.test(name))
+    .map((name) => join(logsDir, name))
+    .filter((path) => {
+      try {
+        return statSync(path).isFile();
+      } catch {
+        return false;
+      }
+    })
+    .sort((left, right) => statSync(right).mtimeMs - statSync(left).mtimeMs);
+  return candidates[0] || "";
+}
+
+function parseSince(startedAt) {
+  if (env.LANGBOT_BACKEND_LOG_SINCE) return new Date(env.LANGBOT_BACKEND_LOG_SINCE);
+  const lookbackSeconds = Number(env.LANGBOT_BACKEND_LOG_LOOKBACK_SECONDS || "300");
+  return new Date(startedAt.getTime() - lookbackSeconds * 1000);
+}
+
+function parseTimestamp(line, year) {
+  const localMatch = line.match(/^\[(\d{2})-(\d{2}) (\d{2}):(\d{2}):(\d{2})\.(\d{3})\]/);
+  if (localMatch) {
+    const [, month, day, hour, minute, second, millisecond] = localMatch;
+    return new Date(`${year}-${month}-${day}T${hour}:${minute}:${second}.${millisecond}+08:00`);
+  }
+
+  const accessMatch = line.match(/^\[(\d{4})-(\d{2})-(\d{2}) (\d{2}):(\d{2}):(\d{2}) ([+-]\d{4})\]/);
+  if (accessMatch) {
+    const [, fullYear, month, day, hour, minute, second, offset] = accessMatch;
+    const normalizedOffset = `${offset.slice(0, 3)}:${offset.slice(3)}`;
+    return new Date(`${fullYear}-${month}-${day}T${hour}:${minute}:${second}${normalizedOffset}`);
+  }
+
+  return null;
+}
+
+function findingForLine(line, number) {
+  const rules = [
+    { severity: "fail", kind: "python_traceback", pattern: /\bTraceback(?: \(most recent call last\))?/i },
+    { severity: "fail", kind: "unretrieved_task_exception", pattern: /Task exception was never retrieved/i },
+    { severity: "fail", kind: "unawaited_coroutine", pattern: /RuntimeWarning:\s+coroutine .* was never awaited/i },
+    { severity: "fail", kind: "unclosed_client_session", pattern: /Unclosed client session/i },
+    { severity: "fail", kind: "unclosed_connector", pattern: /Unclosed connector/i },
+    { severity: "fail", kind: "import_error", pattern: /\bImportError\b/i },
+    { severity: "fail", kind: "error_log", pattern: /\b(?:ERROR|CRITICAL)\b/ },
+    { severity: "warning", kind: "warning_log", pattern: /\bWARNING\b/ },
+  ];
+
+  for (const rule of rules) {
+    if (rule.pattern.test(line)) {
+      return {
+        severity: rule.severity,
+        kind: rule.kind,
+        line: number,
+        excerpt: line,
+      };
+    }
+  }
+  return null;
+}
+
+function scanLines(text, since, year) {
+  const findings = [];
+  const scanned = [];
+  let includeContinuation = false;
+  const lines = text.split(/\r?\n/);
+  for (const [index, line] of lines.entries()) {
+    const number = index + 1;
+    const timestamp = parseTimestamp(line, year);
+    if (timestamp) includeContinuation = timestamp >= since;
+    if (!includeContinuation) continue;
+    scanned.push({ number, text: line });
+    const finding = findingForLine(line, number);
+    if (finding) findings.push(finding);
+  }
+  return { findings, scanned, total_lines: lines.length };
+}
+
+async function main() {
+  const root = resolve(env.LBS_ROOT || process.cwd());
+  const caseId = "langbot-live-backend-log-health";
+  const runId = env.LBS_RUN_ID || `${timestampSlug()}-${caseId}`;
+  const evidenceDir = resolve(env.LBS_EVIDENCE_DIR || join(root, "reports", "evidence", runId));
+  await mkdir(evidenceDir, { recursive: true });
+
+  const startedAt = new Date();
+  const since = parseSince(startedAt);
+  const logPath = latestBackendLog(root);
+  const metricsPath = join(evidenceDir, "metrics.json");
+  const findingsPath = join(evidenceDir, "findings.json");
+  const scannedLogPath = join(evidenceDir, "scanned-backend.log");
+  const automationResultPath = join(evidenceDir, "automation-result.json");
+  const resultPath = join(evidenceDir, "result.json");
+
+  let status = "fail";
+  let reason = "";
+  let scan = { findings: [], scanned: [], total_lines: 0 };
+  if (!logPath || !existsSync(logPath)) {
+    status = "env_issue";
+    reason = "No LangBot backend log file was found. Set LANGBOT_BACKEND_LOG or LANGBOT_REPO.";
+  } else {
+    const text = await readFile(logPath, "utf8");
+    scan = scanLines(text, since, startedAt.getFullYear());
+    const failCount = scan.findings.filter((item) => item.severity === "fail").length;
+    status = failCount === 0 ? "pass" : "fail";
+    reason = status === "pass"
+      ? "Live backend log health passed; no fail-severity findings in the scanned window."
+      : "Live backend log health found fail-severity backend log findings.";
+  }
+
+  const warningCount = scan.findings.filter((item) => item.severity === "warning").length;
+  const failCount = scan.findings.filter((item) => item.severity === "fail").length;
+  const metrics = {
+    probe: caseId,
+    backend_log: logPath,
+    since: since.toISOString(),
+    scanned_line_count: scan.scanned.length,
+    total_line_count: scan.total_lines,
+    fail_count: failCount,
+    warning_count: warningCount,
+    finding_count: scan.findings.length,
+  };
+  const thresholds = {
+    fail_count: { actual: failCount, max: 0, pass: failCount === 0 },
+  };
+
+  await writeFile(metricsPath, `${JSON.stringify(metrics, null, 2)}\n`, "utf8");
+  await writeFile(findingsPath, `${JSON.stringify(scan.findings, null, 2)}\n`, "utf8");
+  await writeFile(scannedLogPath, scan.scanned.map((item) => `${item.number}: ${item.text}`).join("\n") + (scan.scanned.length > 0 ? "\n" : ""), "utf8");
+
+  const finishedAt = new Date();
+  const result = {
+    source: "automation",
+    case_id: caseId,
+    run_id: runId,
+    status,
+    reason,
+    started_at: startedAt.toISOString(),
+    started_at_local: localIsoWithOffset(startedAt),
+    finished_at: finishedAt.toISOString(),
+    finished_at_local: localIsoWithOffset(finishedAt),
+    duration_ms: finishedAt.getTime() - startedAt.getTime(),
+    url: logPath,
+    metrics_summary: {
+      scanned_line_count: metrics.scanned_line_count,
+      fail_count: metrics.fail_count,
+      warning_count: metrics.warning_count,
+      finding_count: metrics.finding_count,
+    },
+    thresholds_summary: thresholds,
+    artifacts: {
+      metrics_json: metricsPath,
+      findings_json: findingsPath,
+      scanned_backend_log: scannedLogPath,
+      automation_result_json: automationResultPath,
+      result_json: resultPath,
+    },
+    evidence_collected: ["metrics", "backend_log", "filesystem"],
+  };
+
+  const resultText = `${JSON.stringify(result, null, 2)}\n`;
+  await writeFile(automationResultPath, resultText, "utf8");
+  await writeFile(resultPath, resultText, "utf8");
+  console.log(JSON.stringify(result, null, 2));
+  exit(status === "pass" ? 0 : status === "env_issue" ? 2 : 1);
+}
+
+await main();

skills/skills/langbot-testing/probes/langbot-live-control-plane-api.mjs

@@ -0,0 +1,311 @@
+#!/usr/bin/env node
+
+import { mkdir, writeFile } from "node:fs/promises";
+import { join, resolve } from "node:path";
+import { env, exit } from "node:process";
+
+function pad(value, size = 2) {
+  return String(value).padStart(size, "0");
+}
+
+function localIsoWithOffset(date = new Date()) {
+  const offsetMinutes = -date.getTimezoneOffset();
+  const sign = offsetMinutes >= 0 ? "+" : "-";
+  const absolute = Math.abs(offsetMinutes);
+  return [
+    `${date.getFullYear()}-${pad(date.getMonth() + 1)}-${pad(date.getDate())}`,
+    `T${pad(date.getHours())}:${pad(date.getMinutes())}:${pad(date.getSeconds())}.${pad(date.getMilliseconds(), 3)}`,
+    `${sign}${pad(Math.floor(absolute / 60))}:${pad(absolute % 60)}`,
+  ].join("");
+}
+
+function timestampSlug(date = new Date()) {
+  return date.toISOString().replace(/\.\d{3}Z$/, "Z").replace(/[^0-9A-Za-z]+/g, "-").replace(/^-|-$/g, "");
+}
+
+function percentile(values, percentileValue) {
+  if (values.length === 0) return 0;
+  const sorted = [...values].sort((a, b) => a - b);
+  const index = Math.min(sorted.length - 1, Math.ceil((percentileValue / 100) * sorted.length) - 1);
+  return Number(sorted[index].toFixed(3));
+}
+
+function stats(values) {
+  if (values.length === 0) return { min: 0, p50: 0, p95: 0, p99: 0, max: 0 };
+  return {
+    min: Number(Math.min(...values).toFixed(3)),
+    p50: percentile(values, 50),
+    p95: percentile(values, 95),
+    p99: percentile(values, 99),
+    max: Number(Math.max(...values).toFixed(3)),
+  };
+}
+
+function joinUrl(baseUrl, path) {
+  const base = baseUrl.replace(/\/+$/, "");
+  const suffix = path.startsWith("/") ? path : `/${path}`;
+  return `${base}${suffix}`;
+}
+
+function parseJsonObject(value, fallback) {
+  if (!value) return fallback;
+  try {
+    const parsed = JSON.parse(value);
+    return parsed && typeof parsed === "object" && !Array.isArray(parsed) ? parsed : fallback;
+  } catch {
+    return fallback;
+  }
+}
+
+function controlPlaneEndpoints() {
+  return [
+    {
+      id: "healthz",
+      path: "/healthz",
+      expected_status: 200,
+      expected_code: 0,
+      p95_budget_ms: Number(env.LANGBOT_PERF_HEALTHZ_P95_MS || "500"),
+      required_data_fields: [],
+    },
+    {
+      id: "system_info",
+      path: "/api/v1/system/info",
+      expected_status: 200,
+      expected_code: 0,
+      p95_budget_ms: Number(env.LANGBOT_PERF_SYSTEM_INFO_P95_MS || "1000"),
+      required_data_fields: ["version", "edition", "enable_marketplace"],
+    },
+  ];
+}
+
+async function fetchEndpoint(backendUrl, endpoint, timeoutMs) {
+  const url = joinUrl(backendUrl, endpoint.path);
+  const controller = new AbortController();
+  const timeout = setTimeout(() => controller.abort(), timeoutMs);
+  const started = performance.now();
+  let bodyText = "";
+  let json = null;
+  let jsonValid = false;
+  let error = "";
+
+  try {
+    const response = await fetch(url, {
+      method: "GET",
+      headers: { "accept": "application/json" },
+      signal: controller.signal,
+    });
+    bodyText = await response.text();
+    try {
+      json = bodyText ? JSON.parse(bodyText) : null;
+      jsonValid = json !== null;
+    } catch (parseError) {
+      error = parseError instanceof Error ? parseError.message : String(parseError);
+    }
+
+    const data = json && typeof json === "object" && json.data && typeof json.data === "object" ? json.data : {};
+    const missingFields = endpoint.required_data_fields.filter((field) => !(field in data));
+    const statusOk = response.status === endpoint.expected_status;
+    const codeOk = !json || typeof json !== "object" ? false : json.code === endpoint.expected_code;
+    const shapeOk = jsonValid && missingFields.length === 0;
+    const latencyMs = performance.now() - started;
+    return {
+      endpoint_id: endpoint.id,
+      path: endpoint.path,
+      url,
+      status: response.status,
+      ok: statusOk && codeOk && shapeOk,
+      status_ok: statusOk,
+      code_ok: codeOk,
+      json_valid: jsonValid,
+      missing_fields: missingFields,
+      response_code: json && typeof json === "object" ? json.code : null,
+      latency_ms: Number(latencyMs.toFixed(3)),
+      error,
+    };
+  } catch (fetchError) {
+    const latencyMs = performance.now() - started;
+    return {
+      endpoint_id: endpoint.id,
+      path: endpoint.path,
+      url,
+      status: 0,
+      ok: false,
+      status_ok: false,
+      code_ok: false,
+      json_valid: false,
+      missing_fields: endpoint.required_data_fields,
+      response_code: null,
+      latency_ms: Number(latencyMs.toFixed(3)),
+      error: fetchError instanceof Error ? fetchError.message : String(fetchError),
+    };
+  } finally {
+    clearTimeout(timeout);
+  }
+}
+
+async function runBatches(backendUrl, endpoints, totalRequests, concurrency, timeoutMs) {
+  const queue = Array.from({ length: totalRequests }, (_, index) => endpoints[index % endpoints.length]);
+  const results = [];
+  while (queue.length > 0) {
+    const batch = queue.splice(0, concurrency);
+    results.push(...await Promise.all(batch.map((endpoint) => fetchEndpoint(backendUrl, endpoint, timeoutMs))));
+  }
+  return results;
+}
+
+function endpointMetrics(endpoints, results) {
+  return Object.fromEntries(endpoints.map((endpoint) => {
+    const samples = results.filter((item) => item.endpoint_id === endpoint.id);
+    const okSamples = samples.filter((item) => item.ok);
+    return [
+      endpoint.id,
+      {
+        path: endpoint.path,
+        requests: samples.length,
+        ok_count: okSamples.length,
+        error_rate: samples.length === 0 ? 1 : Number(((samples.length - okSamples.length) / samples.length).toFixed(4)),
+        latency_ms: stats(okSamples.map((item) => item.latency_ms)),
+        p95_budget_ms: endpoint.p95_budget_ms,
+      },
+    ];
+  }));
+}
+
+async function main() {
+  const root = resolve(env.LBS_ROOT || process.cwd());
+  const caseId = "langbot-live-control-plane-api";
+  const runId = env.LBS_RUN_ID || `${timestampSlug()}-${caseId}`;
+  const evidenceDir = resolve(env.LBS_EVIDENCE_DIR || join(root, "reports", "evidence", runId));
+  await mkdir(evidenceDir, { recursive: true });
+
+  const startedAt = new Date();
+  const backendUrl = env.LANGBOT_BACKEND_URL || "";
+  const endpoints = controlPlaneEndpoints();
+  const configuredBudgets = parseJsonObject(env.LANGBOT_CONTROL_PLANE_P95_BUDGETS_JSON, {});
+  for (const endpoint of endpoints) {
+    const budget = configuredBudgets[endpoint.id];
+    if (typeof budget === "number" && Number.isFinite(budget)) endpoint.p95_budget_ms = budget;
+  }
+  const totalRequests = Number(env.LANGBOT_CONTROL_PLANE_REQUESTS || "20");
+  const concurrency = Number(env.LANGBOT_CONTROL_PLANE_CONCURRENCY || "4");
+  const timeoutMs = Number(env.LANGBOT_CONTROL_PLANE_TIMEOUT_MS || "5000");
+  const maxErrorRate = Number(env.LANGBOT_CONTROL_PLANE_MAX_ERROR_RATE || "0");
+  const metricsPath = join(evidenceDir, "metrics.json");
+  const endpointsPath = join(evidenceDir, "endpoints.json");
+  const networkLogPath = join(evidenceDir, "network.log");
+  const automationResultPath = join(evidenceDir, "automation-result.json");
+  const resultPath = join(evidenceDir, "result.json");
+
+  let status = "fail";
+  let reason = "";
+  let results = [];
+  if (!backendUrl) {
+    status = "env_issue";
+    reason = "LANGBOT_BACKEND_URL is not configured.";
+  } else {
+    results = await runBatches(backendUrl, endpoints, totalRequests, concurrency, timeoutMs);
+    const allConnectionFailures = results.length > 0 && results.every((item) => item.status === 0);
+    if (allConnectionFailures) {
+      status = "env_issue";
+      reason = `Backend did not respond at ${backendUrl}.`;
+    }
+  }
+
+  const okResults = results.filter((item) => item.ok);
+  const statusCounts = {};
+  for (const item of results) {
+    const key = item.status === 0 ? "network_error" : String(item.status);
+    statusCounts[key] = (statusCounts[key] || 0) + 1;
+  }
+  const perEndpoint = endpointMetrics(endpoints, results);
+  const responseShapeFailures = results.filter((item) => !item.json_valid || item.missing_fields.length > 0 || !item.code_ok).length;
+  const errorRate = results.length === 0 ? 1 : Number(((results.length - okResults.length) / results.length).toFixed(4));
+  const thresholds = {
+    error_rate: { actual: errorRate, max: maxErrorRate, pass: errorRate <= maxErrorRate },
+    response_shape_failures: { actual: responseShapeFailures, max: 0, pass: responseShapeFailures === 0 },
+  };
+  for (const endpoint of endpoints) {
+    const actual = perEndpoint[endpoint.id].latency_ms.p95;
+    thresholds[`${endpoint.id}_p95_ms`] = {
+      actual,
+      max: endpoint.p95_budget_ms,
+      pass: actual <= endpoint.p95_budget_ms,
+    };
+  }
+
+  if (status !== "env_issue") {
+    const passed = Object.values(thresholds).every((item) => item.pass);
+    status = passed ? "pass" : "fail";
+    reason = passed
+      ? "Live control-plane API probe passed all thresholds."
+      : "Live control-plane API probe breached shape, latency, or error-rate thresholds.";
+  }
+
+  const metrics = {
+    probe: caseId,
+    backend_url: backendUrl,
+    total_requests: totalRequests,
+    concurrency,
+    timeout_ms: timeoutMs,
+    ok_count: okResults.length,
+    error_count: results.length - okResults.length,
+    error_rate: errorRate,
+    status_counts: statusCounts,
+    response_shape_failures: responseShapeFailures,
+    endpoints: perEndpoint,
+  };
+
+  await writeFile(metricsPath, `${JSON.stringify({ ...metrics, samples: results }, null, 2)}\n`, "utf8");
+  await writeFile(endpointsPath, `${JSON.stringify(endpoints, null, 2)}\n`, "utf8");
+  await writeFile(networkLogPath, results.map((item) => JSON.stringify(item)).join("\n") + (results.length > 0 ? "\n" : ""), "utf8");
+
+  const finishedAt = new Date();
+  const result = {
+    source: "automation",
+    case_id: caseId,
+    run_id: runId,
+    status,
+    reason,
+    started_at: startedAt.toISOString(),
+    started_at_local: localIsoWithOffset(startedAt),
+    finished_at: finishedAt.toISOString(),
+    finished_at_local: localIsoWithOffset(finishedAt),
+    duration_ms: finishedAt.getTime() - startedAt.getTime(),
+    url: backendUrl,
+    metrics_summary: {
+      requests: metrics.total_requests,
+      concurrency: metrics.concurrency,
+      ok_count: metrics.ok_count,
+      error_rate: metrics.error_rate,
+      response_shape_failures: metrics.response_shape_failures,
+      endpoints: Object.fromEntries(Object.entries(metrics.endpoints).map(([id, value]) => [
+        id,
+        {
+          path: value.path,
+          ok_count: value.ok_count,
+          error_rate: value.error_rate,
+          latency_p50_ms: value.latency_ms.p50,
+          latency_p95_ms: value.latency_ms.p95,
+        },
+      ])),
+      status_counts: metrics.status_counts,
+    },
+    thresholds_summary: thresholds,
+    artifacts: {
+      metrics_json: metricsPath,
+      endpoints_json: endpointsPath,
+      network_log: networkLogPath,
+      automation_result_json: automationResultPath,
+      result_json: resultPath,
+    },
+    evidence_collected: ["metrics", "network", "api_diagnostic", "filesystem"],
+  };
+
+  const resultText = `${JSON.stringify(result, null, 2)}\n`;
+  await writeFile(automationResultPath, resultText, "utf8");
+  await writeFile(resultPath, resultText, "utf8");
+  console.log(JSON.stringify(result, null, 2));
+  exit(status === "pass" ? 0 : status === "env_issue" ? 2 : 1);
+}
+
+await main();

skills/skills/langbot-testing/probes/langbot-overhead-accounting-contract.mjs

@@ -0,0 +1,162 @@
+#!/usr/bin/env node
+
+import { mkdir, writeFile } from "node:fs/promises";
+import { join, resolve } from "node:path";
+import { env, exit } from "node:process";
+
+function pad(value, size = 2) {
+  return String(value).padStart(size, "0");
+}
+
+function localIsoWithOffset(date = new Date()) {
+  const offsetMinutes = -date.getTimezoneOffset();
+  const sign = offsetMinutes >= 0 ? "+" : "-";
+  const absolute = Math.abs(offsetMinutes);
+  return [
+    `${date.getFullYear()}-${pad(date.getMonth() + 1)}-${pad(date.getDate())}`,
+    `T${pad(date.getHours())}:${pad(date.getMinutes())}:${pad(date.getSeconds())}.${pad(date.getMilliseconds(), 3)}`,
+    `${sign}${pad(Math.floor(absolute / 60))}:${pad(absolute % 60)}`,
+  ].join("");
+}
+
+function timestampSlug(date = new Date()) {
+  return date.toISOString().replace(/\.\d{3}Z$/, "Z").replace(/[^0-9A-Za-z]+/g, "-").replace(/^-|-$/g, "");
+}
+
+function percentile(values, percentileValue) {
+  if (values.length === 0) return 0;
+  const sorted = [...values].sort((a, b) => a - b);
+  const index = Math.min(sorted.length - 1, Math.ceil((percentileValue / 100) * sorted.length) - 1);
+  return Number(sorted[index].toFixed(3));
+}
+
+function stats(values) {
+  return {
+    min: Number(Math.min(...values).toFixed(3)),
+    p50: percentile(values, 50),
+    p95: percentile(values, 95),
+    p99: percentile(values, 99),
+    max: Number(Math.max(...values).toFixed(3)),
+  };
+}
+
+function threshold(actual, limit, operator) {
+  const pass = operator === "<=" ? actual <= limit : actual >= limit;
+  return { actual, [operator === "<=" ? "max" : "min"]: limit, pass };
+}
+
+function makeSample(index) {
+  const ingress = 1 + (index % 5) * 0.22;
+  const pipeline = 2.8 + (index % 7) * 0.31;
+  const persistence = 1.1 + (index % 4) * 0.2;
+  const pluginIpc = 1.9 + (index % 6) * 0.27;
+  const rag = index % 3 === 0 ? 4.4 : 0.8 + (index % 5) * 0.18;
+  const streaming = 1.5 + (index % 8) * 0.24;
+  const provider = 80 + (index % 13) * 11;
+  const externalTool = index % 4 === 0 ? 25 + (index % 9) * 3 : 0;
+  const network = 8 + (index % 10) * 1.7;
+  const overhead = ingress + pipeline + persistence + pluginIpc + rag + streaming;
+  const external = provider + externalTool + network;
+  const total = overhead + external;
+  return {
+    index,
+    segments_ms: {
+      ingress,
+      pipeline,
+      persistence,
+      plugin_ipc: pluginIpc,
+      rag,
+      streaming,
+      provider,
+      external_tool: externalTool,
+      network,
+    },
+    langbot_overhead_ms: Number(overhead.toFixed(3)),
+    external_latency_ms: Number(external.toFixed(3)),
+    e2e_latency_ms: Number(total.toFixed(3)),
+    accounting_gap_ms: Number((total - external - overhead).toFixed(6)),
+  };
+}
+
+async function main() {
+  const root = resolve(env.LBS_ROOT || process.cwd());
+  const caseId = "langbot-overhead-accounting-contract";
+  const runId = env.LBS_RUN_ID || `${timestampSlug()}-${caseId}`;
+  const evidenceDir = resolve(env.LBS_EVIDENCE_DIR || join(root, "reports", "evidence", runId));
+  await mkdir(evidenceDir, { recursive: true });
+
+  const startedAt = new Date();
+  const sampleCount = Number(env.LANGBOT_PERF_CONTRACT_SAMPLES || "80");
+  const overheadP95BudgetMs = Number(env.LANGBOT_PERF_OVERHEAD_P95_MS || "25");
+  const samples = Array.from({ length: sampleCount }, (_, index) => makeSample(index));
+  const overheads = samples.map((sample) => sample.langbot_overhead_ms);
+  const e2e = samples.map((sample) => sample.e2e_latency_ms);
+  const external = samples.map((sample) => sample.external_latency_ms);
+  const gaps = samples.map((sample) => Math.abs(sample.accounting_gap_ms));
+  const memory = process.memoryUsage();
+
+  const metrics = {
+    probe: caseId,
+    sample_count: sampleCount,
+    langbot_overhead_ms: stats(overheads),
+    e2e_latency_ms: stats(e2e),
+    external_latency_ms: stats(external),
+    accounting_gap_max_ms: Number(Math.max(...gaps).toFixed(6)),
+    samples,
+  };
+  const thresholds = {
+    sample_count: threshold(sampleCount, 50, ">="),
+    langbot_overhead_p95_ms: threshold(metrics.langbot_overhead_ms.p95, overheadP95BudgetMs, "<="),
+    accounting_gap_max_ms: threshold(metrics.accounting_gap_max_ms, 0.001, "<="),
+  };
+  const status = Object.values(thresholds).every((item) => item.pass) ? "pass" : "fail";
+  const metricsPath = join(evidenceDir, "metrics.json");
+  const thresholdsPath = join(evidenceDir, "thresholds.json");
+  const resourceLogPath = join(evidenceDir, "resource-log.json");
+  const automationResultPath = join(evidenceDir, "automation-result.json");
+  const resultPath = join(evidenceDir, "result.json");
+
+  await writeFile(metricsPath, `${JSON.stringify(metrics, null, 2)}\n`, "utf8");
+  await writeFile(thresholdsPath, `${JSON.stringify(thresholds, null, 2)}\n`, "utf8");
+  await writeFile(resourceLogPath, `${JSON.stringify({ memory, pid: process.pid }, null, 2)}\n`, "utf8");
+
+  const finishedAt = new Date();
+  const result = {
+    source: "automation",
+    case_id: caseId,
+    run_id: runId,
+    status,
+    reason: status === "pass"
+      ? "Overhead accounting contract passed all thresholds."
+      : "Overhead accounting contract breached one or more thresholds.",
+    started_at: startedAt.toISOString(),
+    started_at_local: localIsoWithOffset(startedAt),
+    finished_at: finishedAt.toISOString(),
+    finished_at_local: localIsoWithOffset(finishedAt),
+    duration_ms: finishedAt.getTime() - startedAt.getTime(),
+    metrics_summary: {
+      sample_count: metrics.sample_count,
+      langbot_overhead_p95_ms: metrics.langbot_overhead_ms.p95,
+      e2e_latency_p95_ms: metrics.e2e_latency_ms.p95,
+      external_latency_p95_ms: metrics.external_latency_ms.p95,
+      accounting_gap_max_ms: metrics.accounting_gap_max_ms,
+    },
+    thresholds_summary: thresholds,
+    artifacts: {
+      metrics_json: metricsPath,
+      thresholds_json: thresholdsPath,
+      resource_log_json: resourceLogPath,
+      automation_result_json: automationResultPath,
+      result_json: resultPath,
+    },
+    evidence_collected: ["metrics", "resource_log", "filesystem"],
+  };
+
+  const resultText = `${JSON.stringify(result, null, 2)}\n`;
+  await writeFile(automationResultPath, resultText, "utf8");
+  await writeFile(resultPath, resultText, "utf8");
+  console.log(JSON.stringify(result, null, 2));
+  exit(status === "pass" ? 0 : 1);
+}
+
+await main();

skills/skills/langbot-testing/probes/lib/fake-provider-timing.mjs

@@ -0,0 +1,134 @@
+export function summarizeFakeProviderState(state) {
+  if (!state) return null;
+  const recentRequests = Array.isArray(state.recent_requests) ? state.recent_requests : [];
+  const chatRequests = recentRequests.filter((request) => String(request?.path || "").includes("/chat/completions"));
+  const successfulRequests = chatRequests.filter((request) => request?.status === "ok");
+  const faultRequests = chatRequests.filter((request) => (
+    request?.should_fail === true
+      || request?.status === "http_fault"
+      || (Number.isFinite(request?.http_status) && request.http_status >= 400)
+  ));
+
+  return {
+    status: state.status || "unknown",
+    url: state.url || "",
+    request_count: Number.isFinite(state.request_count) ? state.request_count : recentRequests.length,
+    recent_request_count: recentRequests.length,
+    chat_request_count: chatRequests.length,
+    fault_count: faultRequests.length,
+    streamed_request_count: chatRequests.filter((request) => request?.stream === true).length,
+    duration_ms: stats(chatRequests.map((request) => numberOrNull(request?.duration_ms)).filter(Number.isFinite)),
+    successful_duration_ms: stats(successfulRequests.map((request) => numberOrNull(request?.duration_ms)).filter(Number.isFinite)),
+    first_chunk_ms: stats(successfulRequests.map((request) => numberOrNull(request?.first_chunk_ms)).filter(Number.isFinite)),
+    first_content_chunk_ms: stats(successfulRequests.map((request) => numberOrNull(request?.first_content_chunk_ms)).filter(Number.isFinite)),
+    content_chunk_count: stats(successfulRequests.map((request) => numberOrNull(request?.content_chunk_count)).filter(Number.isFinite)),
+    config: state.config || {},
+  };
+}
+
+export function buildProviderTimingMetrics(samples, state) {
+  const recentRequests = Array.isArray(state?.recent_requests) ? state.recent_requests : [];
+  const byExpectedText = new Map();
+  for (const request of recentRequests) {
+    const expected = String(request?.expected_text || "");
+    if (!expected) continue;
+    if (!byExpectedText.has(expected)) byExpectedText.set(expected, []);
+    byExpectedText.get(expected).push(request);
+  }
+
+  const segments = [];
+  const missingExpectedText = [];
+  for (const sample of samples) {
+    const expected = String(sample?.expected_text || "");
+    if (!expected) continue;
+    const request = (byExpectedText.get(expected) || []).shift();
+    if (!request) {
+      missingExpectedText.push(expected);
+      continue;
+    }
+    const segment = buildTimingSegment(sample, request);
+    if (segment) segments.push(segment);
+  }
+
+  const values = (key) => segments.map((segment) => numberOrNull(segment[key])).filter(Number.isFinite);
+  return {
+    matched_request_count: segments.length,
+    missing_provider_match_count: missingExpectedText.length,
+    missing_expected_text: missingExpectedText.slice(0, 20),
+    send_to_provider_start_ms: stats(values("send_to_provider_start_ms")),
+    provider_duration_ms: stats(values("provider_duration_ms")),
+    provider_finish_to_ws_final_ms: stats(values("provider_finish_to_ws_final_ms")),
+    langbot_overhead_estimate_ms: stats(values("langbot_overhead_estimate_ms")),
+    e2e_minus_provider_ms: stats(values("e2e_minus_provider_ms")),
+    provider_first_content_to_ws_first_content_ms: stats(values("provider_first_content_to_ws_first_content_ms")),
+    segments,
+  };
+}
+
+function buildTimingSegment(sample, request) {
+  const sentEpochMs = numberOrNull(sample.sent_epoch_ms);
+  const finishedEpochMs = numberOrNull(sample.finished_epoch_ms);
+  const providerStartedEpochMs = numberOrNull(request.started_epoch_ms);
+  const providerFinishedEpochMs = numberOrNull(request.finished_epoch_ms);
+  const providerFirstContentEpochMs = numberOrNull(request.first_content_chunk_epoch_ms);
+  const wsFirstContentEpochMs = numberOrNull(sample.first_assistant_content_epoch_ms);
+  const responseDurationMs = numberOrNull(sample.response_duration_ms);
+  const providerDurationMs = numberOrNull(request.duration_ms);
+
+  const sendToProviderStartMs = finiteDelta(providerStartedEpochMs, sentEpochMs);
+  const providerFinishToWsFinalMs = finiteDelta(finishedEpochMs, providerFinishedEpochMs);
+  const e2eMinusProviderMs = Number.isFinite(responseDurationMs) && Number.isFinite(providerDurationMs)
+    ? rounded(responseDurationMs - providerDurationMs)
+    : null;
+  const overheadEstimateMs = Number.isFinite(sendToProviderStartMs) && Number.isFinite(providerFinishToWsFinalMs)
+    ? rounded(sendToProviderStartMs + providerFinishToWsFinalMs)
+    : e2eMinusProviderMs;
+
+  return {
+    sample_index: sample.index,
+    pipeline_label: sample.pipeline_label || "",
+    expected_text: sample.expected_text || "",
+    provider_request_id: request.id || "",
+    provider_request_number: request.request_number ?? null,
+    response_duration_ms: responseDurationMs,
+    provider_duration_ms: providerDurationMs,
+    send_to_provider_start_ms: sendToProviderStartMs,
+    provider_finish_to_ws_final_ms: providerFinishToWsFinalMs,
+    langbot_overhead_estimate_ms: overheadEstimateMs,
+    e2e_minus_provider_ms: e2eMinusProviderMs,
+    provider_first_content_to_ws_first_content_ms: finiteDelta(wsFirstContentEpochMs, providerFirstContentEpochMs),
+    provider_status: request.status || "",
+    provider_http_status: request.http_status ?? null,
+  };
+}
+
+function finiteDelta(left, right) {
+  return Number.isFinite(left) && Number.isFinite(right) ? rounded(left - right) : null;
+}
+
+export function stats(values) {
+  if (values.length === 0) return { min: 0, p50: 0, p95: 0, p99: 0, max: 0 };
+  return {
+    min: rounded(Math.min(...values)),
+    p50: percentile(values, 50),
+    p95: percentile(values, 95),
+    p99: percentile(values, 99),
+    max: rounded(Math.max(...values)),
+  };
+}
+
+export function percentile(values, percentileValue) {
+  if (values.length === 0) return 0;
+  const sorted = [...values].sort((a, b) => a - b);
+  const index = Math.min(sorted.length - 1, Math.ceil((percentileValue / 100) * sorted.length) - 1);
+  return rounded(sorted[index]);
+}
+
+export function rounded(value) {
+  return Number(value.toFixed(3));
+}
+
+function numberOrNull(value) {
+  const number = Number(value);
+  return Number.isFinite(number) ? number : null;
+}

skills/skills/langbot-testing/references/performance-reliability-testing.md

@@ -0,0 +1,285 @@
+# Performance And Reliability Testing
+
+Use this reference when a QA request asks whether LangBot is fast enough,
+stable under load, or resilient to controlled faults.
+
+These probes are manual/non-required QA gates unless a case or suite explicitly
+states otherwise. They depend on a live local backend, mutable QA fixtures, and
+operator-selected environment variables, so do not promote them to required CI
+checks until fake-provider isolation, ownership markers, and cleanup are in
+place.
+
+## Scope
+
+Treat `skills/` as the QA control plane:
+
+- Cases define intent, readiness, thresholds, and required evidence.
+- Probe scripts collect metrics, traces, resource logs, and artifacts.
+- Reports classify the same run as `pass`, `fail`, `blocked`,
+  `env_issue`, or `flaky`.
+
+Do not turn `skills/` into a load generator or chaos engine. Call a focused
+tool from a `mode: probe` case when the test needs one, for example k6,
+Locust, pytest-benchmark, Playwright trace collection, Toxiproxy, Docker, or a
+Kubernetes disruption tool.
+
+## LangBot Performance Model
+
+For LangBot, performance is the cost LangBot adds around external systems:
+
+```text
+LangBot overhead = end-to-end latency - provider latency - external tool latency - network/fault injection latency
+```
+
+Measure user experience and internal composition separately:
+
+- WebUI load and interaction latency.
+- Debug Chat send-to-first-visible-token and send-to-completion latency.
+- Pipeline, RAG, plugin runtime, MCP, AgentRunner, and persistence segment
+  latency.
+- Queue wait time, concurrency, throughput, timeout rate, and p95/p99 latency.
+- Startup, plugin install, knowledge-base ingestion, migration, and recovery
+  time.
+
+Do not report a single message round-trip time as "LangBot performance" unless
+the report also explains external provider/tool/network time.
+
+## Evidence Contract
+
+Performance and reliability cases should declare the evidence they need:
+
+- `metrics`: machine-readable latency, throughput, error-rate, or recovery
+  metrics, usually `metrics.json`.
+- `resource_log`: CPU, memory, process, connection, queue, or file descriptor
+  samples.
+- `trace`: browser, HTTP, database, or runtime trace artifacts.
+- `profile`: CPU, memory, or flamegraph profile artifacts.
+- `backend_log`, `network`, `api_diagnostic`, and `filesystem` as supporting
+  evidence when relevant.
+
+Automation should write `automation-result.json` with these fields when
+available:
+
+```json
+{
+  "status": "pass",
+  "reason": "Probe passed all thresholds.",
+  "metrics_summary": {
+    "langbot_overhead_p95_ms": 12.4,
+    "error_rate": 0
+  },
+  "thresholds_summary": {
+    "langbot_overhead_p95_ms": { "actual": 12.4, "max": 50, "pass": true }
+  },
+  "artifacts": {
+    "metrics_json": "/path/to/metrics.json"
+  },
+  "evidence_collected": ["metrics", "filesystem"]
+}
+```
+
+Synthetic contract probes are useful for checking the QA harness, but they are
+not live product performance results. Label them as contract probes in the case
+title, checks, and report.
+
+## Chaos And Reliability Rules
+
+Chaos tests must be narrow and reversible:
+
+- Declare the fault model in `fault_model_json`.
+- Record blast radius, target component, injection method, duration, and abort
+  conditions.
+- Capture recovery checks and cleanup steps in the case.
+- Classify unavailable dependencies as `env_issue` unless the target behavior
+  is LangBot's handling of that dependency failure.
+- Do not run destructive fault injection against a shared or production-like
+  instance without explicit operator approval.
+
+Recommended first fault models:
+
+- Provider timeout or HTTP 429 from a fake provider endpoint.
+- Plugin runtime disconnect/reconnect in a local instance.
+- MCP stdio server exits mid-call.
+- RAG parser fixture fails once and recovers on retry.
+- Backend API endpoint returns 5xx from a controlled local proxy.
+
+## Starter Live Probes
+
+The starter gate separates QA-harness contracts from live product checks:
+
+- `langbot-overhead-accounting-contract` verifies that reports can carry
+  overhead accounting metrics. It uses deterministic synthetic samples and is
+  not live product performance.
+- `langbot-fault-taxonomy-contract` verifies that fault scenarios declare
+  expected status, recovery, and cleanup before destructive chaos tests are
+  added.
+- `langbot-live-backend-latency` checks the unauthenticated `/healthz`
+  endpoint for basic backend responsiveness.
+- `langbot-live-control-plane-api` checks `/healthz` and
+  `/api/v1/system/info` for HTTP 200, JSON `code: 0`, response shape, and
+  per-endpoint p95 latency.
+- `langbot-live-backend-log-health` scans the recent backend log window for
+  fail-severity runtime findings. It is the reliability guard that should fail
+  the gate when HTTP probes pass but backend logs contain Traceback, ImportError,
+  ERROR, unclosed sessions, or unawaited coroutine signals.
+
+Do not treat these starter live probes as Debug Chat or model-provider
+performance. They are control-plane readiness checks; user-facing performance
+needs browser/WebSocket/message-path measurements.
+
+## Debug Chat Load And Fake Provider Baseline
+
+Use `langbot-fake-provider-debug-chat-load` before real-provider load checks.
+The setup automation starts a local OpenAI-compatible fake provider, registers
+it as a normal LangBot provider/model, configures a local-agent pipeline, resets
+Debug Chat, and then drives concurrent WebSocket messages through the live
+backend.
+
+This is not a mocked backend test. It still exercises:
+
+- provider/model persistence and runtime reload;
+- LiteLLM OpenAI-compatible requester path;
+- local-agent runner selection and pipeline execution;
+- Debug Chat WebSocket adapter and broadcast behavior;
+- backend concurrency, timeout, and error-rate accounting.
+
+The fake provider is deterministic and can inject controlled latency or faults
+with `LANGBOT_FAKE_PROVIDER_*` variables, so it is the baseline for LangBot
+message-path overhead. A fake-provider process keeps process-global config,
+request counters, and recent request history; run fake-provider probes serially
+or give each run its own provider instance. Concurrent probes against the same
+fake-provider URL can reset or reconfigure each other's metrics.
+
+The probe uses unique expected response tokens per
+request because Debug Chat broadcasts messages to every connection in the same
+session; unique tokens prevent one connection from counting another
+connection's response as its own.
+
+When the fake provider is used, reports also include provider-side timing in
+`metrics.json`:
+
+- `fake_provider.duration_ms` and `fake_provider.first_content_chunk_ms`
+  measure the controlled provider itself.
+- `provider_timing.send_to_provider_start_ms` estimates WebSocket ingress,
+  pipeline dispatch, runner setup, and requester time before the provider
+  receives the request.
+- `provider_timing.provider_finish_to_ws_final_ms` estimates the path from
+  provider completion back to the final Debug Chat WebSocket response.
+- `provider_timing.langbot_overhead_estimate_ms` is the sum of those two
+  LangBot-side segments when wall-clock timestamps can be matched by the
+  unique expected response token.
+
+After the baseline passes, run `langbot-fake-provider-debug-chat-slow-load` to
+keep the same live backend path while injecting deterministic streaming latency.
+Run `langbot-fake-provider-debug-chat-fault-recovery` to inject bounded HTTP
+provider failures and require both observed failures and later successful
+requests. The fault-recovery case is deliberately sequential because failed
+Debug Chat responses do not carry a unique success token that can be attributed
+to one concurrent connection.
+
+Run `langbot-fake-provider-debug-chat-cross-pipeline-isolation` separately via
+`langbot-debug-chat-isolation-gate`. Current LangBot releases may fail it because
+of product bug [#2286](https://github.com/langbot-app/LangBot/issues/2286), where
+Debug Chat replies can read singleton WebSocket proxy pipeline state after a
+later message overwrites it. Treat that failure as regression evidence for the
+product fix rather than as a fake-provider latency finding.
+
+Use `langbot-space-debug-chat-concurrency-smoke` after the fake-provider
+baseline. It runs a deliberately small real Space-provider batch and reports
+user-visible latency, not pure LangBot overhead. Space/model/network failures
+are dependency findings until the fake baseline shows the same symptom.
+If a Space smoke passes but log guard finds telemetry posting Tracebacks,
+classify that separately as `telemetry-proxy-noise` instead of clearing the
+proxy or treating the Debug Chat path as failed.
+
+Useful commands:
+
+```bash
+rtk bin/lbs test run langbot-fake-provider-debug-chat-load --run-id langbot-fake-load-local
+rtk bin/lbs test run langbot-fake-provider-debug-chat-slow-load --run-id langbot-fake-slow-local
+rtk bin/lbs test run langbot-fake-provider-debug-chat-fault-recovery --run-id langbot-fake-fault-local
+rtk bin/lbs suite run langbot-debug-chat-isolation-gate --run-id langbot-debug-chat-isolation-local --include-manual-check
+rtk bin/lbs test run langbot-space-debug-chat-concurrency-smoke --run-id langbot-space-smoke-local
+rtk bin/lbs suite run langbot-debug-chat-load-gate --run-id langbot-debug-chat-load-local --include-manual-check
+```
+
+## Gate Layers
+
+Use the smallest gate that answers the quality question:
+
+- `langbot-performance-contract-gate`: fast synthetic checks for report shape,
+  threshold accounting, and fault taxonomy. Good for PR feedback when no live
+  service is running.
+- `langbot-live-backend-gate`: live backend `/healthz`,
+  `/api/v1/system/info`, and backend log health. Good after starting a local
+  LangBot backend.
+- `langbot-user-path-performance-gate`: browser-visible user path performance,
+  starting with Pipeline Debug Chat send-to-visible-completion latency. Run it
+  only when the browser profile and target pipeline are ready.
+- `langbot-debug-chat-load-gate`: manual WebSocket Debug Chat load checks,
+  starting with controlled fake-provider baseline, slow-provider, and
+  fault-recovery profiles, plus an optional low-volume real Space-provider
+  smoke. Run fake-provider cases serially when they share a provider URL.
+- `langbot-debug-chat-isolation-gate`: manual cross-pipeline Debug Chat
+  isolation regression gate. Current releases may fail because of #2286; keep it
+  separate from the normal load gate until that product fix lands.
+- `langbot-performance-reliability-gate`: combined starter gate for synthetic
+  contracts plus live backend checks.
+
+Keep environment diagnostics separate from product regressions. For example, a
+SOCKS proxy without Python `socksio` support should be fixed or clearly
+classified by `bin/lbs env doctor`; do not hide the resulting backend
+Traceback in reports.
+
+## Debug Chat Performance
+
+`pipeline-debug-chat-performance` reuses the browser Debug Chat automation and
+adds `metrics.json`, `metrics_summary`, and `thresholds_summary` to
+`automation-result.json`.
+
+Current metric:
+
+```text
+response_duration_ms = prompt send -> expected assistant response visible and stable
+```
+
+This is a user-path metric, not pure LangBot overhead. If it regresses, inspect
+provider latency, model route health, plugin/runtime logs, WebSocket behavior,
+and browser console/network evidence before attributing the whole duration to
+LangBot.
+
+### User-Path Gate Runbook
+
+1. Start the backend and frontend. The frontend must be launched with
+   `VITE_API_BASE_URL="$LANGBOT_BACKEND_URL"` so browser API calls reach the
+   backend.
+2. Run `node scripts/e2e/ensure-local-agent-pipeline.mjs --write-env`. The
+   setup refreshes the local QA login, skips the wizard, prepares a Debug Chat
+   pipeline, scans Space models, tests candidates, writes tested fallback
+   models, and writes the selected pipeline/model env values to
+   `skills/.env.local`.
+3. If setup returns `env_issue`, read `model_tests` and provider errors first.
+   A missing Space key, failed Space scan, or unavailable model route is not a
+   LangBot performance regression.
+4. Run
+   `bin/lbs suite run langbot-user-path-performance-gate --include-manual-check`.
+5. Interpret `response_p95_ms` as browser-visible send-to-completion time. It
+   includes provider latency; use backend logs and model test evidence to
+   separate LangBot overhead from the external model route.
+
+The setup keeps a `max-round` value in the generated pipeline config only
+because the current backend truncator still reads that field directly. Do not
+use it as a quality requirement for future local-agent behavior.
+
+## Running The First Gate
+
+Start with the reusable suite:
+
+```bash
+rtk bin/lbs suite plan langbot-performance-reliability-gate
+rtk bin/lbs suite start langbot-performance-reliability-gate --run-id langbot-perf-rel-local
+```
+
+Run synthetic contract probes first. Run live probes only after the selected
+backend/frontend instance is reachable and the run owner accepts any fault
+scope.

skills/skills/langbot-testing/suites/langbot-debug-chat-isolation-gate.yaml

@@ -0,0 +1,13 @@
+id: langbot-debug-chat-isolation-gate
+title: "LangBot Debug Chat isolation gate"
+description: "Manual/non-required cross-pipeline Debug Chat isolation gate. Current releases may fail this gate because of product bug #2286; use it as regression evidence after the routing fix lands."
+type: reliability
+priority: p1
+tags:
+  - reliability
+  - debug-chat
+  - websocket
+  - isolation
+  - concurrency
+cases:
+  - langbot-fake-provider-debug-chat-cross-pipeline-isolation

skills/skills/langbot-testing/suites/langbot-debug-chat-load-gate.yaml

@@ -0,0 +1,15 @@
+id: langbot-debug-chat-load-gate
+title: "LangBot Debug Chat load gate"
+description: "Manual/non-required message-path load checks for Pipeline Debug Chat: controlled fake-provider baseline, slow-provider and fault-recovery profiles, plus optional real Space-provider smoke. Cross-pipeline isolation is split into langbot-debug-chat-isolation-gate because current releases may fail it due to product bug #2286."
+type: performance
+priority: p1
+tags:
+  - performance
+  - debug-chat
+  - websocket
+  - load
+cases:
+  - langbot-fake-provider-debug-chat-load
+  - langbot-fake-provider-debug-chat-slow-load
+  - langbot-fake-provider-debug-chat-fault-recovery
+  - langbot-space-debug-chat-concurrency-smoke

skills/skills/langbot-testing/suites/langbot-live-backend-gate.yaml

@@ -0,0 +1,14 @@
+id: langbot-live-backend-gate
+title: "LangBot live backend reliability gate"
+description: "Live backend control-plane responsiveness and runtime log health checks for a locally running LangBot instance."
+type: reliability
+priority: p1
+tags:
+  - performance
+  - reliability
+  - live-backend
+  - metrics
+cases:
+  - langbot-live-backend-latency
+  - langbot-live-control-plane-api
+  - langbot-live-backend-log-health

skills/skills/langbot-testing/suites/langbot-performance-contract-gate.yaml

@@ -0,0 +1,13 @@
+id: langbot-performance-contract-gate
+title: "LangBot performance contract gate"
+description: "Fast synthetic contract checks for performance metric accounting and non-destructive reliability fault taxonomy."
+type: contract
+priority: p1
+tags:
+  - performance
+  - reliability
+  - contract
+  - metrics
+cases:
+  - langbot-overhead-accounting-contract
+  - langbot-fault-taxonomy-contract

skills/skills/langbot-testing/suites/langbot-performance-reliability-gate.yaml

@@ -0,0 +1,16 @@
+id: langbot-performance-reliability-gate
+title: "LangBot performance and reliability starter gate"
+description: "Starter gate for LangBot performance accounting, live backend control-plane latency, and non-destructive fault taxonomy checks."
+type: reliability
+priority: p1
+tags:
+  - performance
+  - reliability
+  - metrics
+  - chaos
+cases:
+  - langbot-overhead-accounting-contract
+  - langbot-fault-taxonomy-contract
+  - langbot-live-backend-latency
+  - langbot-live-control-plane-api
+  - langbot-live-backend-log-health

skills/skills/langbot-testing/suites/langbot-user-path-performance-gate.yaml

@@ -0,0 +1,12 @@
+id: langbot-user-path-performance-gate
+title: "LangBot user-path performance gate"
+description: "Browser-visible performance checks for user-facing LangBot paths such as Pipeline Debug Chat."
+type: performance
+priority: p1
+tags:
+  - performance
+  - browser
+  - debug-chat
+  - user-path
+cases:
+  - pipeline-debug-chat-performance

skills/skills/langbot-testing/troubleshooting/telemetry-proxy-noise.yaml

@@ -0,0 +1,23 @@
+id: telemetry-proxy-noise
+title: "Telemetry posting fails through the proxy while the target flow succeeds"
+date: 2026-06-25
+category: env_issue
+symptoms:
+  - "The target Debug Chat or provider smoke request completes successfully."
+  - "The same log window contains a Traceback for telemetry posting."
+  - "The traceback references the Space telemetry endpoint."
+patterns:
+  - "Failed to post telemetry"
+  - "https://space.langbot.app/api/v1/telemetry"
+  - "httpx.ConnectError"
+likely_causes:
+  - "The backend process inherited proxy settings that are required for model/provider access but unreliable for telemetry posting."
+  - "The telemetry endpoint is temporarily unreachable through the local proxy route."
+  - "TLS or proxy negotiation failed for the non-critical telemetry request."
+fix_steps:
+  - "Keep the proxy configuration needed for model/provider access; do not clear it only to hide telemetry noise."
+  - "Check that uppercase and lowercase proxy variables are consistent before rerunning a live Space smoke."
+  - "Classify the target flow and log-health result separately: a successful Debug Chat run can still have an environment log-health finding."
+verification: "A rerun shows the target case success patterns and no telemetry Traceback in the scanned log window, or the report explicitly records the telemetry issue as environment noise."
+related_cases:
+  - langbot-space-debug-chat-concurrency-smoke

skills/src/commands/env.ts

@@ -1,5 +1,7 @@
 import { existsSync } from "node:fs";
+import { spawnSync } from "node:child_process";
 import { Socket } from "node:net";
+import { join } from "node:path";
 import type { CommandContext } from "../types.ts";
 import { parseOptions } from "../cli.ts";
 import { loadEnv } from "../fs.ts";
@@ -88,6 +90,37 @@ function compareProxyPair(env: Record<string, string>, upper: string, lower: str
   return null;
 }
 
+function envValue(env: Record<string, string>, key: string): string {
+  return process.env[key] ?? env[key] ?? "";
+}
+
+function activeSocksProxy(env: Record<string, string>): { key: string; value: string } | null {
+  for (const key of ["ALL_PROXY", "all_proxy", "HTTPS_PROXY", "https_proxy", "HTTP_PROXY", "http_proxy"]) {
+    const value = envValue(env, key);
+    if (/^socks/i.test(value)) return { key, value };
+  }
+  return null;
+}
+
+function checkSocksio(env: Record<string, string>): string | null {
+  const proxy = activeSocksProxy(env);
+  if (!proxy) return null;
+
+  const repo = env.LANGBOT_REPO;
+  const python = repo ? join(repo, ".venv", "bin", "python") : "";
+  if (!python || !existsSync(python)) {
+    return `SOCKS proxy ${proxy.key} is configured (${redactEnvValue(proxy.key, proxy.value)}), but LangBot venv python was not found; after creating the venv, verify it can import socksio.`;
+  }
+
+  const result = spawnSync(python, ["-c", "import socksio"], {
+    encoding: "utf8",
+    timeout: 5000,
+  });
+  if (result.status === 0) return null;
+
+  return `SOCKS proxy ${proxy.key} is configured (${redactEnvValue(proxy.key, proxy.value)}), but ${python} cannot import socksio; run \`${python} -m pip install socksio\` or start LangBot without SOCKS proxy env.`;
+}
+
 export async function commandEnvDoctor(ctx: CommandContext): Promise<number> {
   const env = loadEnv(ctx.root);
   const failures: string[] = [];
@@ -117,6 +150,8 @@ export async function commandEnvDoctor(ctx: CommandContext): Promise<number> {
   ]) {
     if (mismatch) failures.push(mismatch);
   }
+  const socksioFailure = checkSocksio(env);
+  if (socksioFailure) failures.push(socksioFailure);
 
   for (const [label, result] of await Promise.all([
     checkUrl("LANGBOT_BACKEND_URL", env.LANGBOT_BACKEND_URL).then((result) => ["LANGBOT_BACKEND_URL", result] as const),

skills/src/commands/suite.ts

@@ -465,6 +465,41 @@ function outputTail(value: string | Buffer | null | undefined): string {
   return String(value ?? "").trim().slice(-4000);
 }
 
+function exitStatusFromResultStatus(status: string): number {
+  if (status === "pass") return 0;
+  if (status === "blocked" || status === "env_issue" || status === "flaky") return 2;
+  return 1;
+}
+
+function executionStatusFromExitStatus(status: number): string {
+  if (status === 0) return "ok";
+  if (status === 2) return "classified";
+  return "nonzero";
+}
+
+function executionFromCaseResultFile(caseItem: Record<string, unknown>): Record<string, unknown> | null {
+  const resultPath = join(String(caseItem.evidence_dir), "result.json");
+  if (!existsSync(resultPath)) return null;
+  try {
+    const parsed = JSON.parse(readFileSync(resultPath, "utf8")) as Record<string, unknown>;
+    if (
+      parsed.case_id !== caseItem.id ||
+      parsed.run_id !== caseItem.run_id ||
+      typeof parsed.status !== "string"
+    ) return null;
+    const exitStatus = exitStatusFromResultStatus(parsed.status);
+    return {
+      status: executionStatusFromExitStatus(exitStatus),
+      exit_status: exitStatus,
+      reason: typeof parsed.reason === "string" ? parsed.reason : "result.json completed",
+      result_status: parsed.status,
+      result_json: resultPath,
+    };
+  } catch {
+    return null;
+  }
+}
+
 function executionProblemStatus(executions: Array<Record<string, unknown>>): string {
   const statuses = executions.map((item) => String(item.status));
   if (statuses.includes("nonzero")) return "fail";
@@ -523,12 +558,18 @@ export function commandSuiteRun(ctx: CommandContext): number {
       encoding: "utf8",
       stdio: options.json === true ? "pipe" : "inherit",
     });
-    const status = result.error ? 1 : result.status ?? 1;
+    const fileExecution = result.error ? executionFromCaseResultFile(caseItem) : null;
+    const status = typeof fileExecution?.exit_status === "number"
+      ? fileExecution.exit_status
+      : result.error ? 1 : result.status ?? 1;
     executions.push({
       id: caseItem.id,
-      status: status === 0 ? "ok" : "nonzero",
+      status: fileExecution?.status ?? executionStatusFromExitStatus(status),
       exit_status: status,
-      reason: result.error?.message || "",
+      reason: fileExecution?.reason ?? result.error?.message ?? "",
+      result_status: fileExecution?.result_status,
+      result_json: fileExecution?.result_json,
+      spawn_error: fileExecution && result.error ? result.error.message : undefined,
       stdout: outputTail(result.stdout),
       stderr: outputTail(result.stderr),
     });

skills/src/commands/test.ts

@@ -271,7 +271,7 @@ function reportTemplate(mode: string): Record<string, string> {
       target_tested: "Probe target, endpoint, file, command, or service actually checked",
       execution_path: "automation script | shell command | direct API | other",
       probe_result: "What the probe observed",
-      logs_or_artifacts: "Log, filesystem, API, or other artifact paths collected",
+      metrics_or_artifacts: "Metrics, logs, filesystem artifacts, traces, or profiles collected",
       diagnostics: "Extra diagnostics used, if any",
       matched_troubleshooting: "Troubleshooting ids matched, if any",
       assets_to_update: "New case/reference/troubleshooting entries to add",
@@ -320,7 +320,7 @@ function manualEvidenceTemplate(mode: string): ManualEvidenceTemplate {
       target_tested: "TODO: probe target, endpoint, file, command, or service actually checked",
       execution_path: "TODO: automation script | shell command | direct API | other",
       probe_result: "TODO: observed probe result",
-      logs_or_artifacts: "TODO: evidence paths or skipped reason",
+      metrics_or_artifacts: "TODO: metrics, logs, filesystem artifacts, traces, or profiles collected",
       diagnostics: "TODO: additional diagnostics used, if any",
       matched_troubleshooting: "TODO: troubleshooting ids matched, if any",
       assets_to_update: "TODO: case/reference/troubleshooting updates to make",
@@ -1099,6 +1099,41 @@ function executionTail(value: string | Buffer | null | undefined): string {
   return String(value ?? "").trim().slice(-4000);
 }
 
+function exitStatusFromResultStatus(status: string): number {
+  if (status === "pass") return 0;
+  if (status === "blocked" || status === "env_issue" || status === "flaky") return 2;
+  return 1;
+}
+
+function executionStatusFromExitStatus(status: number): string {
+  if (status === 0) return "ok";
+  if (status === 2) return "classified";
+  return "nonzero";
+}
+
+function executionFromAutomationResultFile(
+  evidenceDir: string,
+  caseId: string,
+  runId: string,
+): { status: string; exit_status: number; reason: string; result_status: string; path: string } | null {
+  const resultPath = join(evidenceDir, "automation-result.json");
+  if (!existsSync(resultPath)) return null;
+  try {
+    const parsed = JSON.parse(readFileSync(resultPath, "utf8")) as Record<string, unknown>;
+    if (parsed.case_id !== caseId || parsed.run_id !== runId || typeof parsed.status !== "string") return null;
+    const exitStatus = exitStatusFromResultStatus(parsed.status);
+    return {
+      status: executionStatusFromExitStatus(exitStatus),
+      exit_status: exitStatus,
+      reason: typeof parsed.reason === "string" ? parsed.reason : "automation-result.json completed",
+      result_status: parsed.status,
+      path: resultPath,
+    };
+  } catch {
+    return null;
+  }
+}
+
 function runSetupAutomation(
   ctx: CommandContext,
   item: StructuredItem,
@@ -1224,6 +1259,30 @@ export function commandTestRun(ctx: CommandContext): number {
   });
 
   if (result.error) {
+    const fileExecution = executionFromAutomationResultFile(
+      run.automation.evidence_dir,
+      String(run.case.id),
+      run.run_id,
+    );
+    if (fileExecution) {
+      if (options.json !== true) {
+        console.error(`WARN: automation spawn reported an error, but ${fileExecution.path} completed: ${result.error.message}`);
+      }
+      if (options.json === true) {
+        console.log(JSON.stringify({
+          run,
+          setup_executions: setupExecutions,
+          automation_execution: {
+            ...fileExecution,
+            spawn_error: result.error.message,
+            stdout: executionTail(result.stdout),
+            stderr: executionTail(result.stderr),
+          },
+          exit_status: fileExecution.exit_status,
+        }, null, 2));
+      }
+      return fileExecution.exit_status;
+    }
     if (options.json !== true) console.error(`ERROR: failed to run automation: ${result.error.message}`);
     if (options.json === true) {
       console.log(JSON.stringify({
@@ -1247,7 +1306,7 @@ export function commandTestRun(ctx: CommandContext): number {
       run,
       setup_executions: setupExecutions,
       automation_execution: {
-        status: status === 0 ? "ok" : "nonzero",
+        status: executionStatusFromExitStatus(status),
         exit_status: status,
         stdout: executionTail(result.stdout),
         stderr: executionTail(result.stderr),
@@ -1311,6 +1370,7 @@ function renderMarkdownReport(report: TestReport): string {
   const environment = report.environment;
   const logGuard = report.log_guard;
   const troubleshooting = report.troubleshooting;
+  const automation = report.automation_result;
   const lines: string[] = [];
 
   lines.push(`# Test Report: ${reportCase.id}`);
@@ -1323,20 +1383,41 @@ function renderMarkdownReport(report: TestReport): string {
   lines.push(`Type: ${reportCase.type}`);
   lines.push("");
   lines.push("## Result");
+  if (automation.status === "loaded" && automation.result) {
+    lines.push(`- result: ${automation.result}`);
+    if (automation.reason) lines.push(`- reason: ${automation.reason}`);
+    if (automation.url) lines.push(`- target_tested: ${automation.url}`);
+    if (automation.path) lines.push(`- automation_result: ${automation.path}`);
+    if (automation.artifacts) lines.push(`- artifacts: ${JSON.stringify(automation.artifacts)}`);
+  } else {
     lines.push(`- result: ${evidence.result}`);
     for (const [key, value] of Object.entries(evidence)) {
       if (key !== "result") lines.push(`- ${key}: ${value}`);
     }
+  }
   lines.push("");
   lines.push("## Automation Result");
-  lines.push(`- status: ${report.automation_result.status}`);
+  lines.push(`- status: ${automation.status}`);
-  if (report.automation_result.path) lines.push(`- path: ${report.automation_result.path}`);
+  if (automation.path) lines.push(`- path: ${automation.path}`);
-  if (report.automation_result.result) lines.push(`- result: ${report.automation_result.result}`);
+  if (automation.result) lines.push(`- result: ${automation.result}`);
-  if (report.automation_result.reason) lines.push(`- reason: ${report.automation_result.reason}`);
+  if (automation.reason) lines.push(`- reason: ${automation.reason}`);
-  if (report.automation_result.started_at_local) lines.push(`- started_at_local: ${report.automation_result.started_at_local}`);
+  if (automation.duration_ms !== undefined) lines.push(`- duration_ms: ${automation.duration_ms}`);
-  if (report.automation_result.finished_at_local) lines.push(`- finished_at_local: ${report.automation_result.finished_at_local}`);
+  if (automation.started_at_local) lines.push(`- started_at_local: ${automation.started_at_local}`);
-  if (report.automation_result.url) lines.push(`- url: ${report.automation_result.url}`);
+  if (automation.finished_at_local) lines.push(`- finished_at_local: ${automation.finished_at_local}`);
-  if (report.automation_result.expected_text) lines.push(`- expected_text: ${report.automation_result.expected_text}`);
+  if (automation.url) lines.push(`- url: ${automation.url}`);
+  if (automation.expected_text) lines.push(`- expected_text: ${automation.expected_text}`);
+  if (automation.metrics_summary) {
+    lines.push("- metrics_summary:");
+    lines.push(`  ${JSON.stringify(automation.metrics_summary)}`);
+  }
+  if (automation.thresholds_summary) {
+    lines.push("- thresholds_summary:");
+    lines.push(`  ${JSON.stringify(automation.thresholds_summary)}`);
+  }
+  if (automation.artifacts) {
+    lines.push("- artifacts:");
+    lines.push(`  ${JSON.stringify(automation.artifacts)}`);
+  }
   lines.push("");
   lines.push("## Environment");
   for (const [key, value] of Object.entries(environment)) lines.push(`- ${key}=${value}`);

skills/src/commands/validate.ts

@@ -126,6 +126,9 @@ function validateCaseItem(root: string, item: StructuredItem, skillNames: Set<st
     ...validateEnvKeyScalar(item, "automation_pipeline_url_env"),
     ...validateEnvKeyScalar(item, "automation_pipeline_name_env"),
     ...validateJsonScalar(item, "automation_filesystem_checks_json"),
+    ...validateJsonScalar(item, "metrics_thresholds_json"),
+    ...validateJsonScalar(item, "load_profile_json"),
+    ...validateJsonScalar(item, "fault_model_json"),
     ...listValue(item.fields, "setup_automation").flatMap((entry) => (
       validateSetupAutomationEntry(root, entry, caseIds).map((error) => `${item.path}: ${error}`)
     )),
@@ -183,10 +186,62 @@ function validateCaseItem(root: string, item: StructuredItem, skillNames: Set<st
   if (timeout && (!/^\d+$/.test(timeout) || Number.parseInt(timeout, 10) <= 0)) {
     errors.push(`${item.path}: 'automation_response_timeout_ms' must be a positive integer string`);
   }
+  for (const key of [
+    "automation_debug_chat_load_requests",
+    "automation_debug_chat_load_concurrency",
+    "automation_debug_chat_load_timeout_ms",
+    "automation_debug_chat_load_response_p95_ms",
+    "automation_debug_chat_load_first_response_p95_ms",
+  ]) {
+    const value = scalar(item.fields, key);
+    if (value && (!/^\d+$/.test(value) || Number.parseInt(value, 10) <= 0)) {
+      errors.push(`${item.path}: '${key}' must be a positive integer string`);
+    }
+  }
+  for (const key of [
+    "automation_debug_chat_load_min_error_count",
+    "automation_debug_chat_load_min_ok_count",
+    "automation_debug_chat_load_min_provider_fault_count",
+    "automation_fake_provider_first_token_delay_ms",
+    "automation_fake_provider_chunk_delay_ms",
+    "automation_fake_provider_chunk_count",
+    "automation_fake_provider_fail_first_n",
+    "automation_fake_provider_fail_every_n",
+  ]) {
+    const value = scalar(item.fields, key);
+    if (value && (!/^\d+$/.test(value) || Number.parseInt(value, 10) < 0)) {
+      errors.push(`${item.path}: '${key}' must be a non-negative integer string`);
+    }
+  }
+  for (const key of ["automation_debug_chat_load_max_error_rate", "automation_debug_chat_load_min_error_rate"]) {
+    const value = scalar(item.fields, key);
+    if (value && (!/^(?:0(?:\.\d+)?|1(?:\.0+)?)$/.test(value))) {
+      errors.push(`${item.path}: '${key}' must be a number string between 0 and 1`);
+    }
+  }
+  const fakeProviderFaultStatus = scalar(item.fields, "automation_fake_provider_fault_status");
+  if (fakeProviderFaultStatus) {
+    const parsed = Number.parseInt(fakeProviderFaultStatus, 10);
+    if (!/^\d+$/.test(fakeProviderFaultStatus) || parsed < 400 || parsed > 599) {
+      errors.push(`${item.path}: 'automation_fake_provider_fault_status' must be an HTTP 4xx or 5xx status string`);
+    }
+  }
   const streamOutput = scalar(item.fields, "automation_stream_output");
   if (streamOutput && !["0", "1", "false", "true"].includes(streamOutput)) {
     errors.push(`${item.path}: 'automation_stream_output' must be one of 0, 1, false, or true`);
   }
+  for (const key of [
+    "automation_debug_chat_load_stream",
+    "automation_debug_chat_load_reset",
+    "automation_debug_chat_load_fail_on_final_mismatch",
+    "automation_fake_provider_fail_after_first_chunk",
+    "automation_fake_provider_dynamic_response",
+  ]) {
+    const value = scalar(item.fields, key);
+    if (value && !["0", "1", "false", "true"].includes(value)) {
+      errors.push(`${item.path}: '${key}' must be one of 0, 1, false, or true`);
+    }
+  }
   const imageBase64Fixture = scalar(item.fields, "automation_image_base64_fixture");
   if (imageBase64Fixture && !existsSync(join(root, imageBase64Fixture))) {
     errors.push(`${item.path}: automation image fixture does not exist: ${imageBase64Fixture}`);

skills/src/constants.ts

@@ -9,7 +9,18 @@ export const requiredEnvKeys = [
 ];
 
 export const caseModeValues = ["agent-browser", "probe"];
-export const caseTypeValues = ["smoke", "regression", "feature", "provider", "exploratory"];
+export const caseTypeValues = [
+  "smoke",
+  "regression",
+  "feature",
+  "provider",
+  "exploratory",
+  "contract",
+  "performance",
+  "reliability",
+  "chaos",
+  "security",
+];
 export const casePriorityValues = ["p0", "p1", "p2"];
 export const caseRiskValues = ["low", "medium", "high"];
 export const caseEvidenceValues = [
@@ -21,10 +32,24 @@ export const caseEvidenceValues = [
   "frontend_log",
   "api_diagnostic",
   "filesystem",
+  "metrics",
+  "trace",
+  "profile",
+  "resource_log",
 ];
 export const testResultStatusValues = ["pass", "fail", "blocked", "env_issue", "flaky"];
 export const troubleshootingCategoryValues = ["product", "env_issue", "external_dependency", "blocked", "flaky"];
-export const suiteTypeValues = ["smoke", "regression", "release_gate", "exploratory"];
+export const suiteTypeValues = [
+  "smoke",
+  "regression",
+  "release_gate",
+  "exploratory",
+  "contract",
+  "performance",
+  "reliability",
+  "chaos",
+  "security",
+];
 export const suiteRequiredStrings = ["id", "title", "description", "type", "priority"];
 export const suiteRequiredLists = ["tags", "cases"];
 

skills/src/log-guard.ts

@@ -91,6 +91,7 @@ export type AutomationResultEvidence = {
   path?: string;
   result?: string;
   reason?: string;
+  duration_ms?: number;
   started_at?: string;
   started_at_local?: string;
   finished_at?: string;
@@ -98,6 +99,9 @@ export type AutomationResultEvidence = {
   url?: string;
   prompt?: string;
   expected_text?: string;
+  metrics_summary?: Record<string, unknown>;
+  thresholds_summary?: Record<string, unknown>;
+  artifacts?: Record<string, unknown>;
 };
 
 type MutableScanState = {
@@ -594,6 +598,18 @@ function stringField(data: Record<string, unknown>, key: string): string | undef
   return typeof value === "string" && value.trim() ? value : undefined;
 }
 
+function numberField(data: Record<string, unknown>, key: string): number | undefined {
+  const value = data[key];
+  return typeof value === "number" && Number.isFinite(value) ? value : undefined;
+}
+
+function objectField(data: Record<string, unknown>, key: string): Record<string, unknown> | undefined {
+  const value = data[key];
+  return value && typeof value === "object" && !Array.isArray(value)
+    ? value as Record<string, unknown>
+    : undefined;
+}
+
 function evidenceDirFromOptions(options: Record<string, string | boolean>): string | undefined {
   const explicit = typeof options["evidence-dir"] === "string" ? options["evidence-dir"] : undefined;
   if (explicit) return resolve(explicit);
@@ -628,6 +644,7 @@ export function readAutomationResultEvidence(options: Record<string, string | bo
       path: resultPath,
       result: stringField(result, "status"),
       reason: stringField(result, "reason"),
+      duration_ms: numberField(result, "duration_ms"),
       started_at: stringField(result, "started_at"),
       started_at_local: stringField(result, "started_at_local"),
       finished_at: stringField(result, "finished_at"),
@@ -635,6 +652,9 @@ export function readAutomationResultEvidence(options: Record<string, string | bo
       url: stringField(result, "url"),
       prompt: redactSecrets(stringField(result, "prompt") ?? ""),
       expected_text: stringField(result, "expected_text"),
+      metrics_summary: objectField(result, "metrics_summary"),
+      thresholds_summary: objectField(result, "thresholds_summary"),
+      artifacts: objectField(result, "artifacts"),
     };
   } catch (error) {
     return { status: "invalid", path: resultPath, reason: String(error) };

skills/src/readiness.ts

@@ -114,6 +114,32 @@ export function automationEnvDefaults(item: StructuredItem, env: EnvSource = pro
     ["automation_expected_runner_id", "LANGBOT_E2E_EXPECTED_RUNNER_ID"],
     ["automation_reset_debug_chat", "LANGBOT_E2E_RESET_DEBUG_CHAT"],
     ["automation_debug_chat_session_type", "LANGBOT_E2E_DEBUG_CHAT_SESSION_TYPE"],
+    ["automation_debug_chat_response_p95_ms", "LANGBOT_E2E_DEBUG_CHAT_RESPONSE_P95_MS"],
+    ["automation_debug_chat_max_error_rate", "LANGBOT_E2E_DEBUG_CHAT_MAX_ERROR_RATE"],
+    ["automation_debug_chat_load_requests", "LANGBOT_DEBUG_CHAT_LOAD_REQUESTS"],
+    ["automation_debug_chat_load_concurrency", "LANGBOT_DEBUG_CHAT_LOAD_CONCURRENCY"],
+    ["automation_debug_chat_load_timeout_ms", "LANGBOT_DEBUG_CHAT_LOAD_TIMEOUT_MS"],
+    ["automation_debug_chat_load_response_p95_ms", "LANGBOT_DEBUG_CHAT_LOAD_RESPONSE_P95_MS"],
+    ["automation_debug_chat_load_first_response_p95_ms", "LANGBOT_DEBUG_CHAT_LOAD_FIRST_RESPONSE_P95_MS"],
+    ["automation_debug_chat_load_max_error_rate", "LANGBOT_DEBUG_CHAT_LOAD_MAX_ERROR_RATE"],
+    ["automation_debug_chat_load_min_error_rate", "LANGBOT_DEBUG_CHAT_LOAD_MIN_ERROR_RATE"],
+    ["automation_debug_chat_load_min_error_count", "LANGBOT_DEBUG_CHAT_LOAD_MIN_ERROR_COUNT"],
+    ["automation_debug_chat_load_min_ok_count", "LANGBOT_DEBUG_CHAT_LOAD_MIN_OK_COUNT"],
+    ["automation_debug_chat_load_min_provider_fault_count", "LANGBOT_DEBUG_CHAT_LOAD_MIN_PROVIDER_FAULT_COUNT"],
+    ["automation_debug_chat_load_expected_prefix", "LANGBOT_DEBUG_CHAT_LOAD_EXPECTED_PREFIX"],
+    ["automation_debug_chat_load_prompt_template", "LANGBOT_DEBUG_CHAT_LOAD_PROMPT_TEMPLATE"],
+    ["automation_debug_chat_load_stream", "LANGBOT_DEBUG_CHAT_LOAD_STREAM"],
+    ["automation_debug_chat_load_reset", "LANGBOT_DEBUG_CHAT_LOAD_RESET"],
+    ["automation_debug_chat_load_fail_on_final_mismatch", "LANGBOT_DEBUG_CHAT_LOAD_FAIL_ON_FINAL_MISMATCH"],
+    ["automation_fake_provider_response_text", "LANGBOT_FAKE_PROVIDER_RESPONSE_TEXT"],
+    ["automation_fake_provider_first_token_delay_ms", "LANGBOT_FAKE_PROVIDER_FIRST_TOKEN_DELAY_MS"],
+    ["automation_fake_provider_chunk_delay_ms", "LANGBOT_FAKE_PROVIDER_CHUNK_DELAY_MS"],
+    ["automation_fake_provider_chunk_count", "LANGBOT_FAKE_PROVIDER_CHUNK_COUNT"],
+    ["automation_fake_provider_fail_first_n", "LANGBOT_FAKE_PROVIDER_FAIL_FIRST_N"],
+    ["automation_fake_provider_fail_every_n", "LANGBOT_FAKE_PROVIDER_FAIL_EVERY_N"],
+    ["automation_fake_provider_fault_status", "LANGBOT_FAKE_PROVIDER_FAULT_STATUS"],
+    ["automation_fake_provider_fail_after_first_chunk", "LANGBOT_FAKE_PROVIDER_FAIL_AFTER_FIRST_CHUNK"],
+    ["automation_fake_provider_dynamic_response", "LANGBOT_FAKE_PROVIDER_DYNAMIC_RESPONSE"],
     ["automation_filesystem_checks_json", "LANGBOT_E2E_FILESYSTEM_CHECKS_JSON"],
     ["automation_plugin_package", "LANGBOT_E2E_PLUGIN_PACKAGE"],
     ["automation_expected_plugin_id", "LANGBOT_E2E_EXPECTED_PLUGIN_ID"],

skills/test/lbs-cli.test.ts

@@ -1,6 +1,6 @@
 import assert from "node:assert/strict";
 import { test } from "node:test";
-import { appendFileSync, existsSync, mkdtempSync, mkdirSync, readFileSync, rmSync, writeFileSync } from "node:fs";
+import { appendFileSync, chmodSync, existsSync, mkdtempSync, mkdirSync, readFileSync, rmSync, writeFileSync } from "node:fs";
 import { spawnSync } from "node:child_process";
 import { tmpdir } from "node:os";
 import { join } from "node:path";
@@ -676,6 +676,82 @@ test("suite run JSON captures failed case output", () => {
   }
 });
 
+test("suite run preserves classified env_issue automation results", () => {
+  const tmp = mkdtempSync(join(tmpdir(), "lbs-suite-run-env-issue-"));
+  try {
+    const skillDir = join(tmp, "skills", "langbot-testing");
+    const casesDir = join(skillDir, "cases");
+    const suitesDir = join(skillDir, "suites");
+    const scriptsDir = join(tmp, "scripts");
+    mkdirSync(casesDir, { recursive: true });
+    mkdirSync(suitesDir, { recursive: true });
+    mkdirSync(scriptsDir, { recursive: true });
+    writeFileSync(join(skillDir, "SKILL.md"), "---\nname: langbot-testing\ndescription: Testing.\n---\n\n# Testing\n");
+    writeFileSync(join(tmp, "skills", ".env"), "");
+    writeFileSync(
+      join(casesDir, "env-case.yaml"),
+      [
+        "id: env-case",
+        "title: Env Case",
+        "mode: probe",
+        "area: qa",
+        "type: smoke",
+        "priority: p2",
+        "risk: low",
+        "ci_eligible: true",
+        "automation: scripts/env-issue.mjs",
+        "evidence_required:",
+        "  - filesystem",
+      ].join("\n"),
+    );
+    writeFileSync(
+      join(suitesDir, "mini.yaml"),
+      [
+        "id: mini",
+        "title: Mini",
+        "description: Mini suite.",
+        "type: smoke",
+        "priority: p2",
+        "tags:",
+        "  - qa",
+        "cases:",
+        "  - env-case",
+      ].join("\n"),
+    );
+    writeFileSync(
+      join(scriptsDir, "env-issue.mjs"),
+      [
+        "import { mkdirSync, writeFileSync } from 'node:fs';",
+        "import { join } from 'node:path';",
+        "mkdirSync(process.env.LBS_EVIDENCE_DIR, { recursive: true });",
+        "const result = {",
+        "  case_id: process.env.LBS_CASE_ID,",
+        "  run_id: process.env.LBS_RUN_ID,",
+        "  status: 'env_issue',",
+        "  reason: 'backend not reachable',",
+        "  evidence_collected: ['filesystem']",
+        "};",
+        "writeFileSync(join(process.env.LBS_EVIDENCE_DIR, 'result.json'), JSON.stringify(result));",
+        "writeFileSync(join(process.env.LBS_EVIDENCE_DIR, 'automation-result.json'), JSON.stringify({ ...result, source: 'automation' }));",
+        "process.exit(2);",
+      ].join("\n"),
+    );
+
+    const result = capture(() => commandSuiteRun({
+      root: tmp,
+      args: ["suite", "run", "mini", "--run-id", "mini-run", "--evidence-dir", join(tmp, "evidence"), "--json"],
+    }));
+
+    assert.equal(result.code, 2);
+    const payload = JSON.parse(result.output);
+    assert.equal(payload.executions[0].status, "classified");
+    assert.equal(payload.report.status, "env_issue");
+    assert.equal(payload.report.execution_status, "ok");
+  } finally {
+    rmSync(tmp, { recursive: true, force: true });
+  }
+});
+
 test("suite run failure cannot be masked by stale pass result", () => {
   const tmp = mkdtempSync(join(tmpdir(), "lbs-suite-run-stale-pass-"));
   try {
@@ -1369,6 +1445,56 @@ test("env doctor does not require proxy variables", async () => {
   }
 });
 
+test("env doctor reports missing socksio for active SOCKS proxy", async () => {
+  const tmp = mkdtempSync(join(tmpdir(), "lbs-env-doctor-socksio-"));
+  const originalAllProxy = process.env.ALL_PROXY;
+  const originalAllProxyLower = process.env.all_proxy;
+  try {
+    delete process.env.ALL_PROXY;
+    delete process.env.all_proxy;
+    const skillsDir = join(tmp, "skills");
+    const repoDir = join(tmp, "LangBot");
+    const webDir = join(repoDir, "web");
+    const venvBin = join(repoDir, ".venv", "bin");
+    const browserProfile = join(tmp, "browser-profile");
+    const chromium = join(tmp, "chromium");
+    mkdirSync(skillsDir, { recursive: true });
+    mkdirSync(webDir, { recursive: true });
+    mkdirSync(venvBin, { recursive: true });
+    mkdirSync(browserProfile, { recursive: true });
+    writeFileSync(chromium, "");
+    const python = join(venvBin, "python");
+    writeFileSync(python, "#!/bin/sh\nexit 1\n");
+    chmodSync(python, 0o755);
+    writeFileSync(
+      join(skillsDir, ".env"),
+      [
+        "LANGBOT_BACKEND_URL=http://127.0.0.1:59996",
+        "LANGBOT_FRONTEND_URL=http://127.0.0.1:59996",
+        "LANGBOT_DEV_FRONTEND_URL=http://127.0.0.1:59996",
+        `LANGBOT_REPO=${repoDir}`,
+        `LANGBOT_WEB_REPO=${webDir}`,
+        `LANGBOT_BROWSER_PROFILE=${browserProfile}`,
+        `LANGBOT_CHROMIUM_EXECUTABLE=${chromium}`,
+        "ALL_PROXY=socks5://127.0.0.1:7890",
+      ].join("\n"),
+    );
+
+    const result = await captureAsync(() => commandEnvDoctor({ root: tmp, args: ["env", "doctor"] }));
+
+    assert.equal(result.code, 1);
+    assert.match(result.output, /FAIL: SOCKS proxy ALL_PROXY is configured/);
+    assert.match(result.output, /cannot import socksio/);
+    assert.match(result.output, /-m pip install socksio/);
+  } finally {
+    if (originalAllProxy === undefined) delete process.env.ALL_PROXY;
+    else process.env.ALL_PROXY = originalAllProxy;
+    if (originalAllProxyLower === undefined) delete process.env.all_proxy;
+    else process.env.all_proxy = originalAllProxyLower;
+    rmSync(tmp, { recursive: true, force: true });
+  }
+});
+
 test("env show redacts secret-like values by default", () => {
   const tmp = mkdtempSync(join(tmpdir(), "lbs-env-show-redact-"));
   try {
@@ -2521,6 +2647,38 @@ test("test report renders a reusable evidence template", () => {
   assert.match(result.output, /no log files provided/);
 });
 
+test("test report promotes loaded automation evidence into result section", () => {
+  const tmp = mkdtempSync(join(tmpdir(), "lbs-report-automation-"));
+  try {
+    writeFileSync(
+      join(tmp, "automation-result.json"),
+      JSON.stringify({
+        status: "pass",
+        reason: "latency thresholds passed",
+        url: "http://127.0.0.1:5300",
+        artifacts: { metrics_json: join(tmp, "metrics.json") },
+      }),
+    );
+
+    const result = capture(() => commandTestReport(ctx([
+      "test",
+      "report",
+      "langbot-live-backend-latency",
+      "--evidence-dir",
+      tmp,
+      "--no-auto-log",
+    ])));
+
+    assert.equal(result.code, 0);
+    assert.match(result.output, /## Result\n- result: pass\n- reason: latency thresholds passed/);
+    assert.match(result.output, /- target_tested: http:\/\/127\.0\.0\.1:5300/);
+    assert.doesNotMatch(result.output, /target_tested: TODO/);
+    assert.match(result.output, /## Automation Result/);
+  } finally {
+    rmSync(tmp, { recursive: true, force: true });
+  }
+});
+
 test("validate rejects dangling case references and missing automation scripts", () => {
   const tmp = mkdtempSync(join(tmpdir(), "lbs-validate-strict-"));
   try {

src/langbot/__init__.py

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

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

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

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

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

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

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

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

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

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

@@ -141,15 +141,25 @@ class MCPService:
 
         runtime_mcp_session: RuntimeMCPSession | None = None
 
+        ctx = taskmgr.TaskContext.new()
+
         if server_name != '_':
             runtime_mcp_session = self.ap.tool_mgr.mcp_tool_loader.get_session(server_name)
             if runtime_mcp_session is None:
                 raise ValueError(f'Server not found: {server_name}')
 
-            if runtime_mcp_session.status == MCPSessionStatus.ERROR:
+            persisted_session = runtime_mcp_session
-                coroutine = runtime_mcp_session.start()
+
+            async def _refresh_and_report() -> None:
+                if persisted_session.status == MCPSessionStatus.ERROR:
+                    await persisted_session.start()
                 else:
-                coroutine = runtime_mcp_session.refresh()
+                    await persisted_session.refresh()
+                # Surface the discovered tools so the config page can render them
+                # even for an already-hosted server.
+                ctx.metadata['runtime_info'] = persisted_session.get_runtime_info_dict()
+
+            coroutine = _refresh_and_report()
         else:
             runtime_mcp_session = await self.ap.tool_mgr.mcp_tool_loader.load_mcp_server(server_config=server_data)
 
@@ -160,6 +170,12 @@ class MCPService:
             async def _run_and_cleanup() -> None:
                 try:
                     await test_session.start()
+                    # Capture the runtime info (status + discovered tools) BEFORE
+                    # shutting the transient session down. The create/edit config
+                    # page has no persisted server to reload from, so without this
+                    # a successful test could only show "no tools found". The
+                    # frontend reads ctx.metadata.runtime_info to render the tools.
+                    ctx.metadata['runtime_info'] = test_session.get_runtime_info_dict()
                 finally:
                     try:
                         await test_session.shutdown()
@@ -171,7 +187,6 @@ class MCPService:
 
             coroutine = _run_and_cleanup()
 
-        ctx = taskmgr.TaskContext.new()
         wrapper = self.ap.task_mgr.create_user_task(
             coroutine,
             kind='mcp-operation',

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

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

src/langbot/pkg/box/service.py

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

src/langbot/pkg/command/cmdmgr.py

@@ -84,13 +84,7 @@ class CommandManager:
 
         privilege = 1
 
-        admins = self.ap.instance_config.data['admins']
+        if f'{query.launcher_type.value}_{query.launcher_id}' in self.ap.instance_config.data['admins']:
-        launcher_session_id = f'{query.launcher_type.value}_{query.launcher_id}'
-        sender_session_id = f'person_{query.sender_id}'
-
-        # 兼容老版本匹配 launcher_session_id（群管理: group_xxx 私聊管理: person_xxx）
-        # 新实现匹配 sender_session_id（个人管理员: person_xxx，在任何群聊中生效）
-        if launcher_session_id in admins or sender_session_id in admins:
             privilege = 2
 
         ctx = command_context.ExecuteContext(

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

@@ -9,7 +9,7 @@ class MCPServer(Base):
     uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True)
     name = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
     enable = sqlalchemy.Column(sqlalchemy.Boolean, nullable=False, default=False)
-    mode = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)  # stdio, sse, http
+    mode = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)  # stdio, remote (legacy: sse, http)
     extra_args = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default={})
     # Markdown documentation captured from LangBot Space at install time so the
     # detail page can show docs even when the server is offline / has no tools.

src/langbot/pkg/persistence/alembic/versions/0006_normalize_mcp_remote_mode.py

@@ -0,0 +1,47 @@
+"""normalize mcp_servers transport mode to local/remote
+
+The MCP transport selection for servers LangBot connects to was simplified
+from three persisted modes (``stdio`` / ``sse`` / ``http``) down to two:
+``stdio`` (local, Box-sandboxed) and ``remote`` (the runtime auto-detects
+Streamable HTTP vs. legacy SSE from the URL). This migration rewrites any
+existing ``sse`` / ``http`` rows to ``remote`` so the stored value matches the
+new two-option UI. The connection args (url / headers / timeout /
+ssereadtimeout) live in ``extra_args`` and are left untouched — the
+auto-detecting remote transport consumes them regardless.
+
+Revision ID: 0006_normalize_mcp_remote_mode
+Revises: 0005_add_llm_context_length
+Create Date: 2026-06-21
+"""
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = '0006_normalize_mcp_remote_mode'
+down_revision = '0005_add_llm_context_length'
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    # Idempotent data migration: collapse legacy remote transports into the
+    # unified ``remote`` mode. Guard against the table being absent (truly empty
+    # DB migrated before create_all()).
+    conn = op.get_bind()
+    inspector = sa.inspect(conn)
+    if 'mcp_servers' not in inspector.get_table_names():
+        return
+    conn.execute(sa.text("UPDATE mcp_servers SET mode = 'remote' WHERE mode IN ('sse', 'http')"))
+
+
+def downgrade() -> None:
+    # The legacy distinction between ``sse`` and ``http`` cannot be recovered
+    # from ``remote`` alone (the transport is auto-detected at runtime, not
+    # stored). Map everything that is not ``stdio`` back to ``http`` as a
+    # best-effort reversal — both legacy modes still route correctly in the
+    # backend lifecycle dispatch.
+    conn = op.get_bind()
+    inspector = sa.inspect(conn)
+    if 'mcp_servers' not in inspector.get_table_names():
+        return
+    conn.execute(sa.text("UPDATE mcp_servers SET mode = 'http' WHERE mode = 'remote'"))

src/langbot/pkg/pipeline/process/handlers/command.py

@@ -23,13 +23,7 @@ class CommandHandler(handler.MessageHandler):
 
         privilege = 1
 
-        admins = self.ap.instance_config.data['admins']
+        if f'{query.launcher_type.value}_{query.launcher_id}' in self.ap.instance_config.data['admins']:
-        launcher_session_id = f'{query.launcher_type.value}_{query.launcher_id}'
-        sender_session_id = f'person_{query.sender_id}'
-
-        # 兼容老版本匹配 launcher_session_id（群管理: group_xxx 私聊管理: person_xxx）
-        # 新实现匹配 sender_session_id（个人管理员: person_xxx，在任何群聊中生效）
-        if launcher_session_id in admins or sender_session_id in admins:
             privilege = 2
 
         spt = command_text.split(' ')

src/langbot/pkg/platform/sources/http_bot.py

@@ -0,0 +1,509 @@
+"""HTTP Bot adapter — standalone server-to-server platform adapter.
+
+Lets any external backend drive a LangBot pipeline over plain HTTP:
+
+* **Inbound**  — the backend POSTs a signed message to the unified webhook
+  route ``POST /bots/<bot_uuid>``; this adapter verifies the signature, builds
+  a platform event carrying the caller-defined ``session_id`` as the launcher
+  id, and fires it into the normal pipeline (so message aggregation, N->1,
+  works for free).
+* **Outbound** — every ``reply_message`` / ``reply_message_chunk`` the pipeline
+  emits is delivered as a signed POST to the configured ``callback_url``. A
+  single turn may emit many replies (1->M); each is one callback, ordered per
+  session via a small worker queue.
+
+Design notes:
+
+* The callback URL is taken **only** from adapter config (never from the
+  inbound message) to keep the SSRF surface closed.
+* Replies for one ``session_id`` are delivered in ``sequence`` order; the
+  caller knows a turn is complete when ``is_final: true`` arrives.
+* No new HTTP route is registered — the existing unified webhook dispatcher
+  (``pkg/api/http/controller/groups/webhooks.py``) calls
+  ``handle_unified_webhook`` on this adapter.
+
+See docs/platforms/http-bot.md for the full integration guide.
+"""
+
+from __future__ import annotations
+
+import asyncio
+import json
+import time
+import typing
+import uuid
+from datetime import datetime
+
+import aiohttp
+import pydantic
+import quart
+
+import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
+import langbot_plugin.api.entities.builtin.platform.message as platform_message
+import langbot_plugin.api.entities.builtin.platform.events as platform_events
+import langbot_plugin.api.entities.builtin.platform.entities as platform_entities
+import langbot_plugin.api.definition.abstract.platform.event_logger as abstract_platform_logger
+
+from . import http_bot_signing as signing
+from ...utils import httpclient
+
+
+# Error envelope codes (HTTP status -> body code), documented in the design doc.
+_ERR = {
+    'bad_request': (400, 40001),
+    'bad_signature': (401, 40101),
+    'duplicate': (409, 40901),
+    'too_large': (413, 41301),
+    'internal': (500, 50001),
+}
+
+# Max accepted inbound body size (bytes).
+_MAX_BODY = 1 * 1024 * 1024
+
+# Idempotency dedup window (seconds) and cap.
+_IDEMPOTENCY_TTL = 600
+_IDEMPOTENCY_MAX = 4096
+
+
+class _SessionOutbound:
+    """Per-session outbound state: ordered delivery queue + sequence counter."""
+
+    def __init__(self) -> None:
+        self.queue: asyncio.Queue = asyncio.Queue(maxsize=1000)
+        self.worker: asyncio.Task | None = None
+        self.sequence: int = 0
+        self.last_was_final: bool = True  # so the first reply of a turn starts at seq 1
+
+
+class _SyncCollector:
+    """Collects reply parts for a /sync request and resolves when the turn ends."""
+
+    def __init__(self) -> None:
+        self.parts: list = []
+        self.done: asyncio.Event = asyncio.Event()
+
+
+class HttpBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
+    """Standalone HTTP adapter (inbound webhook + outbound callbacks)."""
+
+    bot_uuid: str = pydantic.Field(default='', exclude=True)
+
+    listeners: dict[
+        typing.Type[platform_events.Event],
+        typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
+    ] = pydantic.Field(default_factory=dict, exclude=True)
+
+    # session_id -> outbound state
+    outbound_states: dict[str, _SessionOutbound] = pydantic.Field(default_factory=dict, exclude=True)
+    # idempotency key -> accepted-at epoch
+    idempotency_cache: dict[str, float] = pydantic.Field(default_factory=dict, exclude=True)
+    # session_id -> sync collector (set while a /sync request is awaiting a turn)
+    sync_waiters: dict[str, '_SyncCollector'] = pydantic.Field(default_factory=dict, exclude=True)
+
+    model_config = pydantic.ConfigDict(arbitrary_types_allowed=True)
+
+    def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger, **kwargs):
+        super().__init__(config=config, logger=logger, **kwargs)
+        self.bot_account_id = 'http_bot'
+        self.outbound_states = {}
+        self.idempotency_cache = {}
+        self.sync_waiters = {}
+
+    # -- framework hooks ------------------------------------------------------
+
+    def set_bot_uuid(self, bot_uuid: str) -> None:
+        """Called by the bot manager so the adapter knows its own bot uuid."""
+        object.__setattr__(self, 'bot_uuid', bot_uuid)
+
+    def get_launcher_id(self, event: platform_events.MessageEvent) -> str:
+        """Map an inbound event to a LangBot launcher id.
+
+        We return the caller-defined ``session_id`` (stashed on the sender /
+        group id at inbound time) so that each external session maps 1:1 to an
+        isolated LangBot session.
+        """
+        if isinstance(event, platform_events.GroupMessage):
+            return str(event.sender.group.id)
+        return str(event.sender.id)
+
+    def register_listener(
+        self,
+        event_type: typing.Type[platform_events.Event],
+        func: typing.Callable[
+            [platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], typing.Awaitable[None]
+        ],
+    ):
+        self.listeners[event_type] = func
+
+    def unregister_listener(
+        self,
+        event_type: typing.Type[platform_events.Event],
+        func: typing.Callable[
+            [platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], typing.Awaitable[None]
+        ],
+    ):
+        self.listeners.pop(event_type, None)
+
+    async def is_muted(self, group_id: int) -> bool:
+        return False
+
+    async def is_stream_output_supported(self) -> bool:
+        return True
+
+    async def run_async(self):
+        # Purely webhook-driven; nothing to poll. Stay alive.
+        while True:
+            await asyncio.sleep(3600)
+
+    async def kill(self):
+        # Cancel any outbound workers.
+        for state in self.outbound_states.values():
+            if state.worker and not state.worker.done():
+                state.worker.cancel()
+        return True
+
+    # -- inbound --------------------------------------------------------------
+
+    def _err(self, kind: str, detail: str = ''):
+        status, code = _ERR[kind]
+        return quart.jsonify({'code': code, 'msg': detail or kind, 'data': None}), status
+
+    def _prune_idempotency(self) -> None:
+        now = time.time()
+        if len(self.idempotency_cache) > _IDEMPOTENCY_MAX:
+            self.idempotency_cache.clear()
+            return
+        expired = [k for k, ts in self.idempotency_cache.items() if now - ts > _IDEMPOTENCY_TTL]
+        for k in expired:
+            self.idempotency_cache.pop(k, None)
+
+    async def handle_unified_webhook(self, bot_uuid: str, path: str, request):
+        """Handle an inbound POST from the unified webhook dispatcher.
+
+        Sub-path routing:
+            (no path)  -> push a message
+            "reset"    -> reset a session's conversation (body: {session_id, session_type?})
+            "sync"     -> push a message and wait for the final reply (collapses 1->M)
+        """
+        object.__setattr__(self, 'bot_uuid', bot_uuid)
+
+        if path == 'reset':
+            return await self._handle_reset(request)
+        if path == 'sync':
+            return await self._handle_inbound(request, sync=True)
+        if path in ('', None):
+            return await self._handle_inbound(request, sync=False)
+        return self._err('bad_request', f'unknown sub-path: {path}')
+
+    async def _read_and_verify(self, request) -> tuple[dict | None, typing.Any]:
+        """Read body, enforce size + signature. Returns (data, error_response)."""
+        body = await request.get_data()
+        if body and len(body) > _MAX_BODY:
+            return None, self._err('too_large', 'message too large')
+
+        if self.config.get('signature_required', True):
+            ok, reason = signing.verify(
+                secret=self.config.get('inbound_secret', ''),
+                body=body,
+                timestamp=request.headers.get(signing.HEADER_TIMESTAMP),
+                signature=request.headers.get(signing.HEADER_SIGNATURE),
+            )
+            if not ok:
+                await self.logger.warning(f'http_bot inbound signature rejected: {reason}')
+                return None, self._err('bad_signature', f'invalid signature: {reason}')
+
+        try:
+            data = json.loads(body)
+        except (json.JSONDecodeError, ValueError):
+            return None, self._err('bad_request', 'body is not valid JSON')
+        if not isinstance(data, dict):
+            return None, self._err('bad_request', 'body must be a JSON object')
+        return data, None
+
+    def _build_event(self, data: dict) -> tuple[platform_events.MessageEvent, str, str, str]:
+        """Build a platform event from inbound data.
+
+        Returns (event, session_id, session_type, message_id).
+        """
+        session_id = str(data['session_id'])
+        session_type = data.get('session_type') or self.config.get('default_session_type', 'person')
+        sender_meta = data.get('sender') or {}
+        sender_name = str(sender_meta.get('name', 'User'))
+
+        message_id = 'in_' + uuid.uuid4().hex
+        chain = platform_message.MessageChain.model_validate(data['message'])
+        # Carry the inbound message id + timestamp as the Source component.
+        chain.insert(0, platform_message.Source(id=message_id, time=datetime.now()))
+
+        if session_type == 'group':
+            group = platform_entities.Group(
+                id=session_id,
+                name=str(sender_meta.get('group_name', session_id)),
+                permission=platform_entities.Permission.Member,
+            )
+            sender = platform_entities.GroupMember(
+                id=str(sender_meta.get('id', session_id)),
+                member_name=sender_name,
+                group=group,
+                permission=platform_entities.Permission.Member,
+            )
+            event = platform_events.GroupMessage(sender=sender, message_chain=chain, time=datetime.now().timestamp())
+        else:
+            sender = platform_entities.Friend(id=session_id, nickname=sender_name, remark=sender_name)
+            event = platform_events.FriendMessage(sender=sender, message_chain=chain, time=datetime.now().timestamp())
+        return event, session_id, session_type, message_id
+
+    async def _handle_inbound(self, request, sync: bool):
+        data, err = await self._read_and_verify(request)
+        if err is not None:
+            return err
+
+        if 'session_id' not in data or 'message' not in data:
+            return self._err('bad_request', 'session_id and message are required')
+
+        # Idempotency.
+        idem = request.headers.get(signing.HEADER_IDEMPOTENCY)
+        if idem:
+            self._prune_idempotency()
+            if idem in self.idempotency_cache:
+                return self._err('duplicate', 'idempotency key already accepted')
+            self.idempotency_cache[idem] = time.time()
+
+        try:
+            event, session_id, session_type, message_id = self._build_event(data)
+        except Exception as e:  # noqa: BLE001
+            return self._err('bad_request', f'failed to parse message: {e}')
+
+        listener = self.listeners.get(type(event))
+        if listener is None:
+            return self._err('internal', 'no listener registered for event type')
+
+        if sync:
+            return await self._run_sync(event, listener, session_id, message_id)
+
+        # Fire-and-collect: kick the pipeline, return 202 immediately.
+        asyncio.create_task(listener(event, self))
+        return quart.jsonify(
+            {
+                'code': 0,
+                'msg': 'accepted',
+                'data': {
+                    'session_id': session_id,
+                    'accepted_message_id': message_id,
+                    'aggregating': True,
+                },
+            }
+        ), 202
+
+    async def _handle_reset(self, request):
+        data, err = await self._read_and_verify(request)
+        if err is not None:
+            return err
+        if 'session_id' not in data:
+            return self._err('bad_request', 'session_id is required')
+
+        session_id = str(data['session_id'])
+        session_type = data.get('session_type') or self.config.get('default_session_type', 'person')
+        launcher_type = 'group' if session_type == 'group' else 'person'
+
+        removed = await self._reset_session(launcher_type, session_id)
+        return quart.jsonify({'code': 0, 'msg': 'reset', 'data': {'session_id': session_id, 'removed': removed}}), 200
+
+    async def _reset_session(self, launcher_type: str, launcher_id: str) -> bool:
+        """Drop the matching session so the next message starts a fresh conversation."""
+        sess_mgr = self.ap.sess_mgr
+        before = len(sess_mgr.session_list)
+        sess_mgr.session_list = [
+            s
+            for s in sess_mgr.session_list
+            if not (
+                str(s.launcher_type.value if hasattr(s.launcher_type, 'value') else s.launcher_type) == launcher_type
+                and str(s.launcher_id) == launcher_id
+            )
+        ]
+        return len(sess_mgr.session_list) < before
+
+    # -- outbound -------------------------------------------------------------
+
+    @staticmethod
+    def _extract_session_id(message_source: platform_events.MessageEvent) -> str:
+        if isinstance(message_source, platform_events.GroupMessage):
+            return str(message_source.sender.group.id)
+        return str(message_source.sender.id)
+
+    @staticmethod
+    def _extract_reply_to(message_source: platform_events.MessageEvent) -> str:
+        for comp in message_source.message_chain:
+            if isinstance(comp, platform_message.Source):
+                return str(comp.id)
+        return ''
+
+    def _next_sequence(self, session_id: str, is_final: bool) -> int:
+        state = self.outbound_states.setdefault(session_id, _SessionOutbound())
+        if state.last_was_final:
+            state.sequence = 1
+        else:
+            state.sequence += 1
+        state.last_was_final = is_final
+        return state.sequence
+
+    async def _enqueue_callback(self, session_id: str, payload: dict) -> None:
+        state = self.outbound_states.setdefault(session_id, _SessionOutbound())
+        if state.worker is None or state.worker.done():
+            state.worker = asyncio.create_task(self._outbound_worker(session_id, state))
+        try:
+            state.queue.put_nowait(payload)
+        except asyncio.QueueFull:
+            # Drop oldest to bound memory, then enqueue (best-effort, at-least-once).
+            try:
+                state.queue.get_nowait()
+            except asyncio.QueueEmpty:
+                pass
+            await self.logger.warning(f'http_bot outbound queue full for session {session_id}; dropped oldest')
+            state.queue.put_nowait(payload)
+
+    async def _outbound_worker(self, session_id: str, state: _SessionOutbound) -> None:
+        while True:
+            payload = await state.queue.get()
+            try:
+                await self._deliver_callback(payload)
+            except Exception as e:  # noqa: BLE001
+                await self.logger.error(f'http_bot callback delivery failed for {session_id}: {e}')
+            finally:
+                state.queue.task_done()
+
+    async def _deliver_callback(self, payload: dict) -> None:
+        callback_url = self.config.get('callback_url', '')
+        if not callback_url:
+            await self.logger.warning('http_bot has no callback_url configured; dropping reply')
+            return
+
+        body = json.dumps(payload, ensure_ascii=False).encode()
+        secret = self.config.get('outbound_secret') or self.config.get('inbound_secret', '')
+        ts, sig = signing.sign(secret, body)
+        headers = {
+            'Content-Type': 'application/json',
+            signing.HEADER_TIMESTAMP: ts,
+            signing.HEADER_SIGNATURE: sig,
+        }
+        timeout = aiohttp.ClientTimeout(total=int(self.config.get('callback_timeout', 15)))
+        max_retries = int(self.config.get('callback_max_retries', 3))
+
+        session = httpclient.get_session()
+        attempt = 0
+        while True:
+            attempt += 1
+            try:
+                async with session.post(callback_url, data=body, headers=headers, timeout=timeout) as resp:
+                    if resp.status < 400:
+                        return
+                    if resp.status < 500 or attempt > max_retries:
+                        await self.logger.warning(f'http_bot callback {callback_url} -> {resp.status}, giving up')
+                        return
+            except (aiohttp.ClientError, asyncio.TimeoutError) as e:
+                if attempt > max_retries:
+                    await self.logger.warning(f'http_bot callback {callback_url} failed after {attempt} tries: {e}')
+                    return
+            await asyncio.sleep(min(2 ** (attempt - 1), 30))
+
+    async def _emit_reply(
+        self,
+        message_source: platform_events.MessageEvent,
+        message: platform_message.MessageChain,
+        is_final: bool,
+        stream: bool,
+    ) -> dict:
+        session_id = self._extract_session_id(message_source)
+        reply_to = self._extract_reply_to(message_source)
+        sequence = self._next_sequence(session_id, is_final)
+        parts = [c.model_dump() if hasattr(c, 'model_dump') else c.__dict__ for c in message]
+        payload = {
+            'session_id': session_id,
+            'reply_to': reply_to,
+            'sequence': sequence,
+            'is_final': is_final,
+            'stream': stream,
+            'message': parts,
+            'timestamp': datetime.now().isoformat(),
+        }
+
+        # If a /sync request is awaiting this session, collect instead of POSTing.
+        collector = self.sync_waiters.get(session_id)
+        if collector is not None:
+            collector.parts.extend(parts)
+            if is_final:
+                collector.done.set()
+            return payload
+
+        await self._enqueue_callback(session_id, payload)
+        return payload
+
+    async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain) -> dict:
+        """Proactively push a message to a session (target_id == session_id)."""
+        sequence = self._next_sequence(str(target_id), is_final=True)
+        payload = {
+            'session_id': str(target_id),
+            'reply_to': '',
+            'sequence': sequence,
+            'is_final': True,
+            'stream': False,
+            'message': [c.model_dump() if hasattr(c, 'model_dump') else c.__dict__ for c in message],
+            'timestamp': datetime.now().isoformat(),
+        }
+        await self._enqueue_callback(str(target_id), payload)
+        return payload
+
+    async def reply_message(
+        self,
+        message_source: platform_events.MessageEvent,
+        message: platform_message.MessageChain,
+        quote_origin: bool = False,
+    ) -> dict:
+        return await self._emit_reply(message_source, message, is_final=True, stream=False)
+
+    async def reply_message_chunk(
+        self,
+        message_source: platform_events.MessageEvent,
+        bot_message,
+        message: platform_message.MessageChain,
+        quote_origin: bool = False,
+        is_final: bool = False,
+    ) -> dict:
+        message_is_final = is_final and getattr(bot_message, 'tool_calls', None) is None
+        return await self._emit_reply(message_source, message, is_final=message_is_final, stream=True)
+
+    # -- sync convenience mode ------------------------------------------------
+
+    async def _run_sync(self, event, listener, session_id: str, message_id: str):
+        """Push a message and wait for the final reply, collapsing 1->M parts.
+
+        Lossy by design (drops streaming/ordering nuance); documented as such.
+        Concurrency-safe: routing is via the per-session ``_sync_waiters``
+        registry that ``_emit_reply`` consults, not by patching methods.
+        """
+        if session_id in self.sync_waiters:
+            return self._err('duplicate', 'a sync request is already in flight for this session')
+
+        collector = _SyncCollector()
+        self.sync_waiters[session_id] = collector
+        try:
+            asyncio.create_task(listener(event, self))
+            timeout = int(self.config.get('callback_timeout', 15)) * 4
+            try:
+                await asyncio.wait_for(collector.done.wait(), timeout=timeout)
+            except asyncio.TimeoutError:
+                await self.logger.warning(f'http_bot sync wait timed out for session {session_id}')
+        finally:
+            self.sync_waiters.pop(session_id, None)
+
+        return quart.jsonify(
+            {
+                'code': 0,
+                'msg': 'ok',
+                'data': {
+                    'session_id': session_id,
+                    'reply_to': message_id,
+                    'message': collector.parts,
+                },
+            }
+        ), 200

src/langbot/pkg/platform/sources/http_bot.svg

@@ -0,0 +1,9 @@
+<svg width="800px" height="800px" viewBox="0 0 64 64" fill="none" xmlns="http://www.w3.org/2000/svg">
+  <rect x="2" y="2" width="60" height="60" rx="14" fill="#2563EB"/>
+  <g stroke="#FFFFFF" stroke-width="3.6" stroke-linecap="round" stroke-linejoin="round" fill="none">
+    <!-- </> code icon -->
+    <path d="M24 22 L14 32 L24 42"/>
+    <path d="M40 22 L50 32 L40 42"/>
+    <path d="M36 18 L28 46"/>
+  </g>
+</svg>

src/langbot/pkg/platform/sources/http_bot.yaml

@@ -0,0 +1,153 @@
+apiVersion: v1
+kind: MessagePlatformAdapter
+metadata:
+  name: http_bot
+  label:
+    en_US: HTTP Bot
+    zh_Hans: HTTP 通用接入
+    zh_Hant: HTTP 通用接入
+    ja_JP: HTTP ボット
+  description:
+    en_US: Integrate any backend over plain HTTP. Push messages in via a signed webhook, receive replies on a callback URL. Server-to-server, no long-lived connection. Preserves message aggregation (N->1) and multi-part replies (1->M).
+    zh_Hans: 通过 HTTP 接入任意后端系统。以签名 Webhook 推入消息，在回调地址接收回复。面向服务间集成，无需长连接。完整保留消息聚合（多条合一）与多段回复（一条问、多条回）能力。
+    zh_Hant: 透過 HTTP 接入任意後端系統。以簽名 Webhook 推入訊息，在回調地址接收回覆。面向服務間整合，無需長連線。完整保留訊息聚合（多條合一）與多段回覆（一條問、多條回）能力。
+    ja_JP: 任意のバックエンドを HTTP で接続。署名付き Webhook でメッセージを送信し、コールバック URL で返信を受信します。サーバー間連携、長時間接続不要。メッセージ集約（N→1）とマルチパート返信（1→M）に対応。
+  icon: http_bot.svg
+spec:
+  categories:
+    - popular
+    - global
+  help_links:
+    zh: https://docs.langbot.app/zh/platforms/http-bot
+    en: https://docs.langbot.app/en/platforms/http-bot
+    ja: https://docs.langbot.app/ja/platforms/http-bot
+  config:
+    - name: webhook_url
+      label:
+        en_US: Inbound Webhook URL
+        zh_Hans: 入站 Webhook 地址
+        zh_Hant: 入站 Webhook 地址
+        ja_JP: 受信 Webhook URL
+      description:
+        en_US: Copy this URL. Your backend POSTs messages here (signed with the inbound secret).
+        zh_Hans: 复制此地址。你的后端将消息以签名方式 POST 到这里。
+        zh_Hant: 複製此地址。你的後端將訊息以簽名方式 POST 到這裡。
+        ja_JP: この URL をコピーしてください。バックエンドは署名付きでここにメッセージを POST します。
+      type: webhook-url
+      required: false
+      default: ""
+    - name: inbound_secret
+      label:
+        en_US: Inbound Signing Secret
+        zh_Hans: 入站签名密钥
+        zh_Hant: 入站簽名密鑰
+        ja_JP: 受信署名シークレット
+      description:
+        en_US: HMAC-SHA256 secret your backend uses to sign inbound requests. LangBot verifies every inbound POST with it.
+        zh_Hans: 你的后端用于对入站请求做 HMAC-SHA256 签名的密钥；LangBot 据此校验每个入站 POST。
+        zh_Hant: 你的後端用於對入站請求做 HMAC-SHA256 簽名的密鑰；LangBot 據此校驗每個入站 POST。
+        ja_JP: バックエンドが受信リクエストの署名に使う HMAC-SHA256 シークレット。LangBot は受信 POST ごとに検証します。
+      type: string
+      required: true
+      default: ""
+    - name: callback_url
+      label:
+        en_US: Outbound Callback URL
+        zh_Hans: 出站回调地址
+        zh_Hant: 出站回調地址
+        ja_JP: 送信コールバック URL
+      description:
+        en_US: Where LangBot POSTs replies. One turn may trigger multiple callbacks (1->M). For security the callback URL is taken ONLY from this config and cannot be overridden per-message.
+        zh_Hans: LangBot 将回复 POST 到此地址。一轮对话可能触发多次回调（一问多答）。出于安全考虑，回调地址只取自此配置，不允许逐条消息覆盖。
+        zh_Hant: LangBot 將回覆 POST 到此地址。一輪對話可能觸發多次回調（一問多答）。出於安全考慮，回調地址只取自此配置，不允許逐條訊息覆蓋。
+        ja_JP: LangBot が返信を POST する先。1 ターンで複数回のコールバック（1→M）が発生し得ます。セキュリティ上、コールバック URL はこの設定からのみ取得し、メッセージ単位で上書きできません。
+      type: string
+      required: true
+      default: ""
+    - name: outbound_secret
+      label:
+        en_US: Outbound Signing Secret
+        zh_Hans: 出站签名密钥
+        zh_Hant: 出站簽名密鑰
+        ja_JP: 送信署名シークレット
+      description:
+        en_US: HMAC-SHA256 secret LangBot uses to sign outbound callbacks so your receiver can verify them. Falls back to the inbound secret when empty.
+        zh_Hans: LangBot 用于对出站回调签名的密钥，供你的接收端校验。留空时回退使用入站密钥。
+        zh_Hant: LangBot 用於對出站回調簽名的密鑰，供你的接收端校驗。留空時回退使用入站密鑰。
+        ja_JP: LangBot が送信コールバックの署名に使う HMAC-SHA256 シークレット。受信側で検証できます。空の場合は受信シークレットを使用します。
+      type: string
+      required: false
+      default: ""
+    - name: default_session_type
+      label:
+        en_US: Default Session Type
+        zh_Hans: 默认会话类型
+        zh_Hant: 預設會話類型
+        ja_JP: デフォルトセッションタイプ
+      description:
+        en_US: Session type used when an inbound message omits session_type.
+        zh_Hans: 入站消息未携带 session_type 时使用的会话类型。
+        zh_Hant: 入站訊息未攜帶 session_type 時使用的會話類型。
+        ja_JP: 受信メッセージに session_type がない場合に使用するセッションタイプ。
+      type: select
+      options:
+        - name: person
+          label:
+            en_US: Person (1-on-1)
+            zh_Hans: 个人（一对一）
+            zh_Hant: 個人（一對一）
+            ja_JP: 個人（1 対 1）
+        - name: group
+          label:
+            en_US: Group
+            zh_Hans: 群组
+            zh_Hant: 群組
+            ja_JP: グループ
+      required: false
+      default: person
+    - name: signature_required
+      label:
+        en_US: Require Inbound Signature
+        zh_Hans: 强制入站签名校验
+        zh_Hant: 強制入站簽名校驗
+        ja_JP: 受信署名を必須にする
+      description:
+        en_US: When enabled (recommended), every inbound POST must carry a valid signature. Disable ONLY for local development behind a trusted network.
+        zh_Hans: 开启（推荐）后，每个入站 POST 都必须带有效签名。仅在受信任内网的本地开发时关闭。
+        zh_Hant: 開啟（推薦）後，每個入站 POST 都必須帶有效簽名。僅在受信任內網的本地開發時關閉。
+        ja_JP: 有効（推奨）にすると、すべての受信 POST に有効な署名が必要です。信頼できるネットワーク内のローカル開発時のみ無効化してください。
+      type: boolean
+      required: false
+      default: true
+    - name: callback_timeout
+      label:
+        en_US: Callback Timeout (seconds)
+        zh_Hans: 回调超时（秒）
+        zh_Hant: 回調逾時（秒）
+        ja_JP: コールバックタイムアウト（秒）
+      description:
+        en_US: Per-callback HTTP timeout.
+        zh_Hans: 单次回调的 HTTP 超时时间。
+        zh_Hant: 單次回調的 HTTP 逾時時間。
+        ja_JP: コールバックごとの HTTP タイムアウト。
+      type: integer
+      required: false
+      default: 15
+    - name: callback_max_retries
+      label:
+        en_US: Callback Max Retries
+        zh_Hans: 回调最大重试次数
+        zh_Hant: 回調最大重試次數
+        ja_JP: コールバック最大リトライ回数
+      description:
+        en_US: Retries on timeout or 5xx, with exponential backoff.
+        zh_Hans: 超时或 5xx 时按指数退避重试的次数。
+        zh_Hant: 逾時或 5xx 時按指數退避重試的次數。
+        ja_JP: タイムアウトまたは 5xx 時に指数バックオフでリトライする回数。
+      type: integer
+      required: false
+      default: 3
+execution:
+  python:
+    path: ./http_bot.py
+    attr: HttpBotAdapter

src/langbot/pkg/platform/sources/http_bot_signing.py

@@ -0,0 +1,95 @@
+"""HMAC signing utilities for the HTTP Bot adapter.
+
+A dependency-free, symmetric HMAC-SHA256 scheme used in *both* directions:
+
+    signing_string = "{timestamp}." + raw_body_bytes
+    signature      = "sha256=" + hex(HMAC_SHA256(secret, signing_string))
+
+Inbound requests are signed by the caller and verified here; outbound
+callbacks are signed here and verified by the caller. The scheme is trivial to
+reproduce in any language (see docs/platforms/http-bot.md for JS/curl).
+"""
+
+from __future__ import annotations
+
+import hashlib
+import hmac
+import time
+
+# Header names (kept here so adapter + clients agree on a single source).
+HEADER_TIMESTAMP = 'X-LB-Timestamp'
+HEADER_SIGNATURE = 'X-LB-Signature'
+HEADER_IDEMPOTENCY = 'X-LB-Idempotency-Key'
+
+# Maximum allowed clock skew between signer and verifier (seconds).
+DEFAULT_REPLAY_WINDOW = 300
+
+
+def compute_signature(secret: str, body: bytes, timestamp: str | int) -> str:
+    """Compute the ``sha256=<hex>`` signature for *body* at *timestamp*.
+
+    Args:
+        secret: Shared HMAC secret.
+        body: Raw request body bytes (exactly as sent on the wire).
+        timestamp: Unix timestamp (seconds) as str or int.
+
+    Returns:
+        The signature string, e.g. ``sha256=ab12...``.
+    """
+    signing_string = f'{timestamp}.'.encode() + body
+    digest = hmac.new(secret.encode(), signing_string, hashlib.sha256).hexdigest()
+    return f'sha256={digest}'
+
+
+def sign(secret: str, body: bytes, timestamp: int | None = None) -> tuple[str, str]:
+    """Produce ``(timestamp, signature)`` for an outbound request.
+
+    Args:
+        secret: Shared HMAC secret.
+        body: Raw request body bytes.
+        timestamp: Optional fixed timestamp; defaults to ``int(time.time())``.
+
+    Returns:
+        ``(timestamp_str, signature_str)``.
+    """
+    ts = str(timestamp if timestamp is not None else int(time.time()))
+    return ts, compute_signature(secret, body, ts)
+
+
+def verify(
+    secret: str,
+    body: bytes,
+    timestamp: str | None,
+    signature: str | None,
+    replay_window: int = DEFAULT_REPLAY_WINDOW,
+) -> tuple[bool, str]:
+    """Verify an inbound signature.
+
+    Args:
+        secret: Shared HMAC secret.
+        body: Raw request body bytes.
+        timestamp: Value of the timestamp header.
+        signature: Value of the signature header.
+        replay_window: Max allowed skew in seconds.
+
+    Returns:
+        ``(ok, reason)``. ``reason`` is empty when ``ok`` is True, otherwise a
+        short machine-friendly cause (``missing_headers`` / ``bad_timestamp`` /
+        ``expired`` / ``signature_mismatch``).
+    """
+    if not timestamp or not signature:
+        return False, 'missing_headers'
+
+    try:
+        ts_int = int(float(timestamp))
+    except (ValueError, TypeError):
+        return False, 'bad_timestamp'
+
+    if abs(int(time.time()) - ts_int) > replay_window:
+        return False, 'expired'
+
+    expected = compute_signature(secret, body, timestamp)
+    if not hmac.compare_digest(expected, signature):
+        return False, 'signature_mismatch'
+
+    return True, ''

src/langbot/pkg/plugin/connector.py

@@ -248,6 +248,15 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):
 
         mode = mcp_data.get('mode') or 'stdio'
         extra_args = mcp_data.get('extra_args') or {}
+        # The MCP transport selection was simplified to two modes: 'stdio'
+        # (local, Box-sandboxed) and 'remote' (the runtime auto-detects
+        # Streamable HTTP vs. legacy SSE from the URL). Marketplace records may
+        # still carry the older 'http'/'sse' modes — normalize them to 'remote'
+        # so the installed server shows up correctly in the two-option UI. The
+        # connection args (url/headers/timeout/ssereadtimeout) are preserved and
+        # consumed by the auto-detecting remote transport regardless.
+        if mode in ('http', 'sse'):
+            mode = 'remote'
         # Marketplace records carry the rendered README markdown; persist it so
         # the detail page Docs tab works offline and without a marketplace round-trip.
         readme = mcp_data.get('readme') or ''

src/langbot/pkg/provider/tools/loaders/mcp.py

@@ -167,6 +167,36 @@ class RuntimeMCPSession:
 
         await self.session.initialize()
 
+    async def _init_remote_server(self):
+        """Connect to a remote MCP server, auto-detecting the transport.
+
+        The user only supplies a URL ("remote" mode); they should not have to
+        know whether the server speaks the modern Streamable HTTP transport or
+        the legacy HTTP+SSE transport. Following the MCP backwards-compatibility
+        guidance, we try Streamable HTTP first and fall back to SSE when it
+        fails (e.g. the endpoint returns 4xx to the initialize POST).
+        """
+        try:
+            await self._init_streamable_http_server()
+            return
+        except Exception as e:
+            self.ap.logger.info(
+                f'MCP server {self.server_name}: Streamable HTTP transport failed '
+                f'({self._describe_exception(e)}), falling back to SSE'
+            )
+
+        # The Streamable HTTP attempt may have partially entered the transport /
+        # session into the exit stack before failing. Tear it down and start
+        # from a clean stack before trying SSE so we do not leak connections.
+        try:
+            await self.exit_stack.aclose()
+        except Exception as cleanup_err:
+            self.ap.logger.debug(f'MCP server {self.server_name}: error cleaning up before SSE fallback: {cleanup_err}')
+        self.exit_stack = AsyncExitStack()
+        self.session = None
+
+        await self._init_sse_server()
+
     _MAX_RETRIES = 3
     _RETRY_DELAYS = [2, 4, 8]
 
@@ -175,6 +205,8 @@ class RuntimeMCPSession:
         try:
             if self.server_config['mode'] == 'stdio':
                 await self._init_stdio_python_server()
+            elif self.server_config['mode'] == 'remote':
+                await self._init_remote_server()
             elif self.server_config['mode'] == 'sse':
                 await self._init_sse_server()
             elif self.server_config['mode'] == 'http':

src/langbot/pkg/survey/manager.py

@@ -159,6 +159,21 @@ class SurveyManager:
         """Clear the pending survey (after user responds or dismisses)."""
         self._pending_survey = None
 
+    async def _build_base_metadata(self, user_email: str | None = None) -> dict:
+        metadata = {
+            'version': constants.semantic_version,
+            'instance_id': constants.instance_id,
+        }
+        if user_email:
+            metadata['login_account'] = user_email
+            try:
+                user_obj = await self.ap.user_service.get_user_by_email(user_email)
+                metadata['account_type'] = getattr(user_obj, 'account_type', '') or 'local'
+                metadata['space_account_uuid'] = getattr(user_obj, 'space_account_uuid', '') or ''
+            except Exception:
+                pass
+        return metadata
+
     async def submit_response(self, survey_id: str, answers: dict, completed: bool = True) -> bool:
         """Submit a survey response to Space."""
         if not self._is_space_configured():
@@ -169,9 +184,7 @@ class SurveyManager:
                 'survey_id': survey_id,
                 'instance_id': constants.instance_id,
                 'answers': answers,
-                'metadata': {
+                'metadata': await self._build_base_metadata(),
-                    'version': constants.semantic_version,
-                },
                 'completed': completed,
             }
             async with httpx.AsyncClient(timeout=httpx.Timeout(10)) as client:
@@ -183,6 +196,33 @@ class SurveyManager:
             self.ap.logger.warning(f'Failed to submit survey response: {e}')
         return False
 
+    async def submit_feedback(
+        self,
+        content: str,
+        attachments: list[dict],
+        user_email: str | None = None,
+    ) -> bool:
+        """Submit an on-demand user feedback item to Space."""
+        if not self._is_space_configured():
+            return False
+        try:
+            url = f'{self._space_url}/api/v1/survey/feedback'
+            metadata = await self._build_base_metadata(user_email)
+            payload = {
+                'instance_id': constants.instance_id,
+                'content': content,
+                'attachments': attachments,
+                'metadata': metadata,
+            }
+            async with httpx.AsyncClient(timeout=httpx.Timeout(30)) as client:
+                resp = await client.post(url, json=payload)
+                if resp.status_code == 200:
+                    return True
+                self.ap.logger.warning(f'Failed to submit feedback: {resp.status_code} {resp.text[:200]}')
+        except Exception as e:
+            self.ap.logger.warning(f'Failed to submit feedback: {e}')
+        return False
+
     async def dismiss_survey(self, survey_id: str) -> bool:
         """Dismiss a survey."""
         if not self._is_space_configured():

src/langbot/templates/config.yaml

@@ -144,6 +144,8 @@ box:
             - './data/box'
             - '/tmp'
         workspace_quota_mb: null  # Optional disk quota override (>= 0). null = profile default.
+    docker:
+        cpu_limit_enabled: true  # When false, Docker sandbox containers are started without --cpus. Memory and PID limits still apply.
     e2b:
         api_key: ''  # Can also be set via E2B_API_KEY env var.
         api_url: ''  # Custom API URL for self-hosted deployments.

test-embed.html

@@ -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>

tests/integration/persistence/test_migrations.py

@@ -17,7 +17,21 @@ from langbot.pkg.persistence.alembic_runner import (
     run_alembic_upgrade,
     run_alembic_stamp,
     get_alembic_current,
+    _ALEMBIC_DIR,
 )
+from alembic.config import Config
+from alembic.script import ScriptDirectory
+
+
+def _get_script_head() -> str:
+    """Resolve the current Alembic head revision from the script directory.
+
+    Avoids hardcoding a revision number in assertions so adding a new
+    migration doesn't require editing the migration tests.
+    """
+    cfg = Config()
+    cfg.set_main_option('script_location', _ALEMBIC_DIR)
+    return ScriptDirectory.from_config(cfg).get_current_head()
 
 
 pytestmark = pytest.mark.integration
@@ -103,8 +117,10 @@ class TestSQLiteMigrationUpgrade:
         # Verify revision
         rev = await get_alembic_current(sqlite_engine)
         assert rev is not None, 'Expected a revision after upgrade'
-        # Head should be the latest migration
+        # Head should be the latest migration. Resolve the actual head from the
-        assert rev.startswith('0005'), f'Expected head to be 0005_*, got {rev}'
+        # Alembic script directory instead of hardcoding a revision number, so
+        # adding a new migration doesn't require editing this assertion.
+        assert rev == _get_script_head(), f'Expected head {_get_script_head()}, got {rev}'
 
     @pytest.mark.asyncio
     async def test_upgrade_idempotent(self, sqlite_engine):