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@@ -48,6 +48,7 @@ coverage.xml
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.coverage
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src/langbot/web/
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testsdk/
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.qa/
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# Build artifacts
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||||
/dist
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||||
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@@ -1,160 +1,105 @@
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||||
# 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`.
|
||||
- **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:
|
||||
## Essential Commands
|
||||
|
||||
```bash
|
||||
uv sync --dev
|
||||
uv run main.py
|
||||
uv run pre-commit install
|
||||
|
||||
cd web
|
||||
pnpm install
|
||||
pnpm dev
|
||||
pnpm build
|
||||
```
|
||||
|
||||
## Plugin System
|
||||
|
||||
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:
|
||||
Useful focused tests:
|
||||
|
||||
```bash
|
||||
# Run from the project root (requires data/config.yaml to exist)
|
||||
uv run python -m langbot.pkg.persistence.alembic_runner autogenerate "description of your change"
|
||||
uv run pytest tests/unit_tests -q
|
||||
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`.
|
||||
- **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.
|
||||
- **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`).
|
||||
- Architecture map: `ARCHITECTURE.md`.
|
||||
- Dev environment guide: https://docs.langbot.app/zh/develop/dev-config.
|
||||
- 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
|
||||
with LangBot, and they MUST be kept in lockstep with the HTTP API:
|
||||
```bash
|
||||
# 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
|
||||
API as MCP tools at `/mcp` (API-key authenticated, including the
|
||||
`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`.
|
||||
# from LangBot, preserve the locally installed SDK
|
||||
uv run --no-sync main.py
|
||||
```
|
||||
|
||||
> **Maintenance rule (important).** When you add, remove, or change an HTTP API
|
||||
> 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.
|
||||
For standalone runtime debugging:
|
||||
|
||||
## 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.
|
||||
|
||||
+250
@@ -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.
|
||||
@@ -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
|
||||
|
||||
+2
-1
@@ -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
|
||||
|
||||
@@ -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.
|
||||
@@ -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_]*$"
|
||||
|
||||
@@ -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",
|
||||
|
||||
@@ -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);
|
||||
}
|
||||
@@ -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");
|
||||
}
|
||||
@@ -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 = runnerConfig[runnerId] && typeof runnerConfig[runnerId] === "object"
|
||||
? runnerConfig[runnerId]
|
||||
const rawExistingLocalAgentConfig = ai["local-agent"] && typeof ai["local-agent"] === "object"
|
||||
? ai["local-agent"]
|
||||
: {};
|
||||
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: {
|
||||
...runnerConfig,
|
||||
[runnerId]: localAgentConfig,
|
||||
},
|
||||
"local-agent": 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."
|
||||
: "Pipeline was created but no LLM model is configured in this LangBot instance.",
|
||||
? `Local-agent pipeline is configured for Debug Chat with Space model ${selected.selected_model_name || selectedModelId} and ${selected.fallback_model_ids.length} fallback(s).`
|
||||
: 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 {
|
||||
|
||||
@@ -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]);
|
||||
}
|
||||
@@ -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;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -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;
|
||||
|
||||
@@ -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",
|
||||
|
||||
@@ -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=
|
||||
|
||||
@@ -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.
|
||||
|
||||
@@ -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`.
|
||||
|
||||
+84
@@ -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
|
||||
+95
@@ -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
|
||||
@@ -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
|
||||
@@ -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
|
||||
@@ -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"
|
||||
@@ -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
|
||||
@@ -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
|
||||
@@ -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
|
||||
@@ -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"
|
||||
@@ -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
|
||||
@@ -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
|
||||
@@ -1 +1,3 @@
|
||||
dist/
|
||||
dist/*
|
||||
!dist/
|
||||
!dist/qa-plugin-smoke-0.1.0.lbpkg
|
||||
|
||||
Vendored
BIN
Binary file not shown.
@@ -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);
|
||||
}
|
||||
@@ -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)$/i.test(String(value))) return false;
|
||||
return fallback;
|
||||
}
|
||||
|
||||
function textList(value) {
|
||||
return String(value || "")
|
||||
.split(/\r?\n|,/)
|
||||
.map((item) => item.trim())
|
||||
.filter(Boolean);
|
||||
}
|
||||
|
||||
function rounded(value) {
|
||||
return Number(value.toFixed(3));
|
||||
}
|
||||
|
||||
function percentile(values, percentileValue) {
|
||||
if (values.length === 0) return 0;
|
||||
const sorted = [...values].sort((a, b) => a - b);
|
||||
const index = Math.min(sorted.length - 1, Math.ceil((percentileValue / 100) * sorted.length) - 1);
|
||||
return rounded(sorted[index]);
|
||||
}
|
||||
|
||||
function stats(values) {
|
||||
if (values.length === 0) return { min: 0, p50: 0, p95: 0, p99: 0, max: 0 };
|
||||
return {
|
||||
min: rounded(Math.min(...values)),
|
||||
p50: percentile(values, 50),
|
||||
p95: percentile(values, 95),
|
||||
p99: percentile(values, 99),
|
||||
max: rounded(Math.max(...values)),
|
||||
};
|
||||
}
|
||||
|
||||
function looksLikeEnvIssue(error) {
|
||||
const message = String(error?.message || error || "");
|
||||
return /fetch failed|ECONNREFUSED|ENOTFOUND|LANGBOT_.*not configured|Could not read recovery_key|Backend did not respond/i.test(message);
|
||||
}
|
||||
|
||||
function safeReason(value) {
|
||||
return redact(String(value || "")).slice(0, 1000);
|
||||
}
|
||||
@@ -0,0 +1,159 @@
|
||||
#!/usr/bin/env node
|
||||
|
||||
import { mkdir, writeFile } from "node:fs/promises";
|
||||
import { join, resolve } from "node:path";
|
||||
import { env, exit } from "node:process";
|
||||
|
||||
function pad(value, size = 2) {
|
||||
return String(value).padStart(size, "0");
|
||||
}
|
||||
|
||||
function localIsoWithOffset(date = new Date()) {
|
||||
const offsetMinutes = -date.getTimezoneOffset();
|
||||
const sign = offsetMinutes >= 0 ? "+" : "-";
|
||||
const absolute = Math.abs(offsetMinutes);
|
||||
return [
|
||||
`${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();
|
||||
@@ -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 = `${JSON.stringify(result, null, 2)}\n`;
|
||||
await writeFile(automationResultPath, resultText, "utf8");
|
||||
await writeFile(resultPath, resultText, "utf8");
|
||||
console.log(JSON.stringify(result, null, 2));
|
||||
exit(status === "pass" ? 0 : status === "env_issue" ? 2 : 1);
|
||||
}
|
||||
|
||||
await main();
|
||||
@@ -0,0 +1,205 @@
|
||||
#!/usr/bin/env node
|
||||
|
||||
import { existsSync, readdirSync, statSync } from "node:fs";
|
||||
import { mkdir, readFile, writeFile } from "node:fs/promises";
|
||||
import { join, resolve } from "node:path";
|
||||
import { env, exit } from "node:process";
|
||||
|
||||
function pad(value, size = 2) {
|
||||
return String(value).padStart(size, "0");
|
||||
}
|
||||
|
||||
function localIsoWithOffset(date = new Date()) {
|
||||
const offsetMinutes = -date.getTimezoneOffset();
|
||||
const sign = offsetMinutes >= 0 ? "+" : "-";
|
||||
const absolute = Math.abs(offsetMinutes);
|
||||
return [
|
||||
`${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();
|
||||
@@ -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 = `${JSON.stringify(result, null, 2)}\n`;
|
||||
await writeFile(automationResultPath, resultText, "utf8");
|
||||
await writeFile(resultPath, resultText, "utf8");
|
||||
console.log(JSON.stringify(result, null, 2));
|
||||
exit(status === "pass" ? 0 : status === "env_issue" ? 2 : 1);
|
||||
}
|
||||
|
||||
await main();
|
||||
@@ -0,0 +1,162 @@
|
||||
#!/usr/bin/env node
|
||||
|
||||
import { mkdir, writeFile } from "node:fs/promises";
|
||||
import { join, resolve } from "node:path";
|
||||
import { env, exit } from "node:process";
|
||||
|
||||
function pad(value, size = 2) {
|
||||
return String(value).padStart(size, "0");
|
||||
}
|
||||
|
||||
function localIsoWithOffset(date = new Date()) {
|
||||
const offsetMinutes = -date.getTimezoneOffset();
|
||||
const sign = offsetMinutes >= 0 ? "+" : "-";
|
||||
const absolute = Math.abs(offsetMinutes);
|
||||
return [
|
||||
`${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();
|
||||
@@ -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;
|
||||
}
|
||||
@@ -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.
|
||||
@@ -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
|
||||
@@ -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
|
||||
@@ -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
|
||||
@@ -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
|
||||
@@ -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
|
||||
@@ -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
|
||||
@@ -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
|
||||
@@ -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),
|
||||
|
||||
@@ -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),
|
||||
});
|
||||
|
||||
+95
-14
@@ -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");
|
||||
lines.push(`- result: ${evidence.result}`);
|
||||
for (const [key, value] of Object.entries(evidence)) {
|
||||
if (key !== "result") lines.push(`- ${key}: ${value}`);
|
||||
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}`);
|
||||
if (report.automation_result.path) lines.push(`- path: ${report.automation_result.path}`);
|
||||
if (report.automation_result.result) lines.push(`- result: ${report.automation_result.result}`);
|
||||
if (report.automation_result.reason) lines.push(`- reason: ${report.automation_result.reason}`);
|
||||
if (report.automation_result.started_at_local) lines.push(`- started_at_local: ${report.automation_result.started_at_local}`);
|
||||
if (report.automation_result.finished_at_local) lines.push(`- finished_at_local: ${report.automation_result.finished_at_local}`);
|
||||
if (report.automation_result.url) lines.push(`- url: ${report.automation_result.url}`);
|
||||
if (report.automation_result.expected_text) lines.push(`- expected_text: ${report.automation_result.expected_text}`);
|
||||
lines.push(`- status: ${automation.status}`);
|
||||
if (automation.path) lines.push(`- path: ${automation.path}`);
|
||||
if (automation.result) lines.push(`- result: ${automation.result}`);
|
||||
if (automation.reason) lines.push(`- reason: ${automation.reason}`);
|
||||
if (automation.duration_ms !== undefined) lines.push(`- duration_ms: ${automation.duration_ms}`);
|
||||
if (automation.started_at_local) lines.push(`- started_at_local: ${automation.started_at_local}`);
|
||||
if (automation.finished_at_local) lines.push(`- finished_at_local: ${automation.finished_at_local}`);
|
||||
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}`);
|
||||
|
||||
@@ -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}`);
|
||||
|
||||
+27
-2
@@ -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"];
|
||||
|
||||
|
||||
@@ -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) };
|
||||
|
||||
@@ -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"],
|
||||
|
||||
+159
-1
@@ -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 {
|
||||
|
||||
@@ -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)
|
||||
|
||||
@@ -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
|
||||
@@ -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."""
|
||||
|
||||
@@ -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 = ph.hash(password)
|
||||
hashed_password = await self._hash_password(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()
|
||||
|
||||
ph.verify(user_obj.password, password)
|
||||
await self._verify_password(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 = 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)
|
||||
)
|
||||
|
||||
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)
|
||||
)
|
||||
|
||||
@@ -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:
|
||||
|
||||
@@ -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': {
|
||||
'version': constants.semantic_version,
|
||||
},
|
||||
'metadata': await self._build_base_metadata(),
|
||||
'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():
|
||||
|
||||
@@ -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.
|
||||
|
||||
@@ -0,0 +1,18 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import pytest
|
||||
|
||||
from langbot.pkg.api.http.controller.groups.box_visibility import should_hide_box_runtime_status
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
('edition', 'box_enabled', 'expected'),
|
||||
[
|
||||
('cloud', False, True),
|
||||
('cloud', True, False),
|
||||
('cloud', None, False),
|
||||
('community', False, False),
|
||||
],
|
||||
)
|
||||
def test_should_hide_box_runtime_status(edition, box_enabled, expected):
|
||||
assert should_hide_box_runtime_status(edition, box_enabled) is expected
|
||||
@@ -256,6 +256,31 @@ class TestSharesFilesystemWithBox:
|
||||
assert service.shares_filesystem_with_box is False
|
||||
|
||||
|
||||
def test_separated_box_runtime_does_not_create_default_workspace_in_langbot(tmp_path):
|
||||
logger = Mock()
|
||||
runtime = BoxRuntime(logger=logger, backends=[FakeBackend(logger)], session_ttl_sec=300)
|
||||
host_root = tmp_path / 'box'
|
||||
service = BoxService(make_app(logger, host_root=str(host_root)), client=_InProcessBoxRuntimeClient(logger, runtime))
|
||||
service._shares_filesystem_with_box_override = False
|
||||
|
||||
service._ensure_default_workspace()
|
||||
|
||||
assert not (host_root / 'default').exists()
|
||||
|
||||
|
||||
def test_separated_box_runtime_allows_box_owned_missing_host_path(tmp_path):
|
||||
logger = Mock()
|
||||
runtime = BoxRuntime(logger=logger, backends=[FakeBackend(logger)], session_ttl_sec=300)
|
||||
host_root = tmp_path / 'box'
|
||||
service = BoxService(make_app(logger, host_root=str(host_root)), client=_InProcessBoxRuntimeClient(logger, runtime))
|
||||
service._shares_filesystem_with_box_override = False
|
||||
|
||||
spec = service.build_spec({'cmd': 'echo hi', 'session_id': 'missing-host-path'})
|
||||
|
||||
assert spec.host_path == str(host_root / 'default')
|
||||
assert not (host_root / 'default').exists()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_box_service_get_sessions_delegates_to_client():
|
||||
client = Mock()
|
||||
@@ -500,6 +525,7 @@ async def test_box_service_creates_default_workspace_on_initialize(tmp_path):
|
||||
app = make_app(logger, [str(allowed_root)])
|
||||
app.instance_config.data['box']['local']['default_workspace'] = str(default_workspace)
|
||||
service = BoxService(app, client=_InProcessBoxRuntimeClient(logger, runtime))
|
||||
service._shares_filesystem_with_box_override = True
|
||||
|
||||
await service.initialize()
|
||||
|
||||
@@ -514,6 +540,7 @@ async def test_box_service_derives_workspace_and_allowed_root_from_host_root(tmp
|
||||
shared_root = tmp_path / 'shared-box-root'
|
||||
app = make_app(logger, host_root=str(shared_root))
|
||||
service = BoxService(app, client=_InProcessBoxRuntimeClient(logger, runtime))
|
||||
service._shares_filesystem_with_box_override = True
|
||||
|
||||
await service.initialize()
|
||||
|
||||
|
||||
@@ -0,0 +1,206 @@
|
||||
import { useCallback, useEffect, useRef, useState } from 'react';
|
||||
import { ImagePlus, Loader2, Paperclip, Send, X } from 'lucide-react';
|
||||
import { useTranslation } from 'react-i18next';
|
||||
import { toast } from 'sonner';
|
||||
import { Button } from '@/components/ui/button';
|
||||
import { Textarea } from '@/components/ui/textarea';
|
||||
import { httpClient } from '@/app/infra/http/HttpClient';
|
||||
|
||||
const MAX_ATTACHMENTS = 3;
|
||||
const MAX_IMAGE_BYTES = 1024 * 1024;
|
||||
|
||||
type FeedbackAttachment = {
|
||||
name: string;
|
||||
mime_type: string;
|
||||
data_url: string;
|
||||
};
|
||||
|
||||
function readImageFile(file: File): Promise<FeedbackAttachment> {
|
||||
return new Promise((resolve, reject) => {
|
||||
if (!file.type.startsWith('image/')) {
|
||||
reject(new Error('not_image'));
|
||||
return;
|
||||
}
|
||||
if (file.size > MAX_IMAGE_BYTES) {
|
||||
reject(new Error('too_large'));
|
||||
return;
|
||||
}
|
||||
const reader = new FileReader();
|
||||
reader.onload = () => {
|
||||
const dataUrl = String(reader.result || '');
|
||||
if (!dataUrl.startsWith('data:image/')) {
|
||||
reject(new Error('not_image'));
|
||||
return;
|
||||
}
|
||||
resolve({
|
||||
name: file.name || 'pasted-image.png',
|
||||
mime_type: file.type || 'image/png',
|
||||
data_url: dataUrl,
|
||||
});
|
||||
};
|
||||
reader.onerror = () => reject(reader.error || new Error('read_failed'));
|
||||
reader.readAsDataURL(file);
|
||||
});
|
||||
}
|
||||
|
||||
const FEEDBACK_I18N_PREFIX = 'monitoring.feedback';
|
||||
|
||||
export function FeedbackPopoverContent({
|
||||
onSubmitted,
|
||||
}: {
|
||||
onSubmitted?: () => void;
|
||||
}) {
|
||||
const { t } = useTranslation();
|
||||
const tf = useCallback(
|
||||
(key: string) => t(`${FEEDBACK_I18N_PREFIX}.${key}`),
|
||||
[t],
|
||||
);
|
||||
const [content, setContent] = useState('');
|
||||
const [attachments, setAttachments] = useState<FeedbackAttachment[]>([]);
|
||||
const [submitting, setSubmitting] = useState(false);
|
||||
const fileInputRef = useRef<HTMLInputElement>(null);
|
||||
|
||||
const addFiles = useCallback(
|
||||
async (files: File[]) => {
|
||||
const slots = MAX_ATTACHMENTS - attachments.length;
|
||||
if (slots <= 0) {
|
||||
toast.error(tf('tooManyImages'));
|
||||
return;
|
||||
}
|
||||
const picked = files.slice(0, slots);
|
||||
const next: FeedbackAttachment[] = [];
|
||||
for (const file of picked) {
|
||||
try {
|
||||
next.push(await readImageFile(file));
|
||||
} catch (error) {
|
||||
const msg = error instanceof Error ? error.message : '';
|
||||
toast.error(
|
||||
msg === 'too_large' ? tf('imageTooLarge') : tf('imageOnly'),
|
||||
);
|
||||
}
|
||||
}
|
||||
if (next.length > 0) {
|
||||
setAttachments((prev) => [...prev, ...next].slice(0, MAX_ATTACHMENTS));
|
||||
}
|
||||
},
|
||||
[attachments.length, tf],
|
||||
);
|
||||
|
||||
useEffect(() => {
|
||||
const onPaste = (event: ClipboardEvent) => {
|
||||
const files = Array.from(event.clipboardData?.files || []).filter(
|
||||
(file) => file.type.startsWith('image/'),
|
||||
);
|
||||
if (files.length > 0) {
|
||||
event.preventDefault();
|
||||
void addFiles(files);
|
||||
}
|
||||
};
|
||||
window.addEventListener('paste', onPaste);
|
||||
return () => window.removeEventListener('paste', onPaste);
|
||||
}, [addFiles]);
|
||||
|
||||
const handleSubmit = async () => {
|
||||
const trimmed = content.trim();
|
||||
if (!trimmed) {
|
||||
toast.error(tf('contentRequired'));
|
||||
return;
|
||||
}
|
||||
try {
|
||||
setSubmitting(true);
|
||||
await httpClient.submitFeedback({
|
||||
content: trimmed,
|
||||
attachments,
|
||||
});
|
||||
toast.success(tf('submitSuccess'));
|
||||
setContent('');
|
||||
setAttachments([]);
|
||||
onSubmitted?.();
|
||||
} catch {
|
||||
toast.error(tf('submitFailed'));
|
||||
} finally {
|
||||
setSubmitting(false);
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<div className="space-y-3" onClick={(e) => e.stopPropagation()}>
|
||||
<div>
|
||||
<div className="text-sm font-medium">{tf('title')}</div>
|
||||
<p className="mt-1 text-xs text-muted-foreground">
|
||||
{tf('description')}
|
||||
</p>
|
||||
</div>
|
||||
<Textarea
|
||||
value={content}
|
||||
onChange={(e) => setContent(e.target.value)}
|
||||
placeholder={tf('placeholder')}
|
||||
maxLength={5000}
|
||||
className="min-h-32 resize-none text-sm"
|
||||
/>
|
||||
<div className="flex flex-wrap gap-2">
|
||||
{attachments.map((item, index) => (
|
||||
<div
|
||||
key={`${item.name}-${index}`}
|
||||
className="relative size-16 overflow-hidden rounded-md border"
|
||||
>
|
||||
<img
|
||||
src={item.data_url}
|
||||
alt={item.name}
|
||||
className="h-full w-full object-cover"
|
||||
/>
|
||||
<button
|
||||
type="button"
|
||||
onClick={() =>
|
||||
setAttachments((prev) => prev.filter((_, i) => i !== index))
|
||||
}
|
||||
className="absolute right-1 top-1 rounded-full bg-black/60 p-0.5 text-white"
|
||||
aria-label={tf('removeImage')}
|
||||
>
|
||||
<X className="size-3" />
|
||||
</button>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
<div className="flex items-center justify-between gap-2">
|
||||
<div className="flex gap-2">
|
||||
<input
|
||||
ref={fileInputRef}
|
||||
type="file"
|
||||
accept="image/*"
|
||||
multiple
|
||||
className="hidden"
|
||||
onChange={(e) => {
|
||||
void addFiles(Array.from(e.target.files || []));
|
||||
e.target.value = '';
|
||||
}}
|
||||
/>
|
||||
<Button
|
||||
type="button"
|
||||
size="sm"
|
||||
variant="outline"
|
||||
onClick={() => fileInputRef.current?.click()}
|
||||
>
|
||||
<ImagePlus className="mr-1 size-4" />
|
||||
{tf('attachImage')}
|
||||
</Button>
|
||||
</div>
|
||||
<span className="flex items-center gap-1 text-xs text-muted-foreground">
|
||||
<Paperclip className="size-3" />
|
||||
{attachments.length}/{MAX_ATTACHMENTS}
|
||||
</span>
|
||||
</div>
|
||||
<Button className="w-full" onClick={handleSubmit} disabled={submitting}>
|
||||
{submitting ? (
|
||||
<Loader2 className="mr-2 size-4 animate-spin" />
|
||||
) : (
|
||||
<Send className="mr-2 size-4" />
|
||||
)}
|
||||
{tf('submit')}
|
||||
</Button>
|
||||
<p className="text-[11px] leading-relaxed text-muted-foreground">
|
||||
{tf('privacyHint')}
|
||||
</p>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -100,6 +100,7 @@ import {
|
||||
} from '@/components/ui/popover';
|
||||
import { cn } from '@/lib/utils';
|
||||
import { useSidebarData, SidebarEntityItem } from './SidebarDataContext';
|
||||
import { FeedbackPopoverContent } from './FeedbackPopover';
|
||||
|
||||
// Compare two version strings, returns true if v1 > v2
|
||||
function compareVersions(v1: string, v2: string): boolean {
|
||||
@@ -1569,6 +1570,7 @@ export default function HomeSidebar({
|
||||
);
|
||||
const [hasNewVersion, setHasNewVersion] = useState(false);
|
||||
const [versionDialogOpen, setVersionDialogOpen] = useState(false);
|
||||
const [feedbackOpen, setFeedbackOpen] = useState(false);
|
||||
const [userEmail, setUserEmail] = useState<string>('');
|
||||
const [starCount, setStarCount] = useState<number | null>(null);
|
||||
const [userMenuOpen, setUserMenuOpen] = useState(false);
|
||||
@@ -2041,10 +2043,8 @@ export default function HomeSidebar({
|
||||
</DropdownMenuItem>
|
||||
<DropdownMenuItem
|
||||
onClick={() => {
|
||||
window.open(
|
||||
'https://github.com/langbot-app/LangBot/issues',
|
||||
'_blank',
|
||||
);
|
||||
setUserMenuOpen(false);
|
||||
setFeedbackOpen(true);
|
||||
}}
|
||||
>
|
||||
<Lightbulb />
|
||||
@@ -2096,6 +2096,18 @@ export default function HomeSidebar({
|
||||
</SidebarFooter>
|
||||
</Sidebar>
|
||||
|
||||
<Dialog open={feedbackOpen} onOpenChange={setFeedbackOpen}>
|
||||
<DialogContent className="w-[calc(100vw-2rem)] sm:max-w-[380px]">
|
||||
<DialogHeader className="sr-only">
|
||||
<DialogTitle>{t('monitoring.feedback.title')}</DialogTitle>
|
||||
<DialogDescription>
|
||||
{t('monitoring.feedback.description')}
|
||||
</DialogDescription>
|
||||
</DialogHeader>
|
||||
<FeedbackPopoverContent onSubmitted={() => setFeedbackOpen(false)} />
|
||||
</DialogContent>
|
||||
</Dialog>
|
||||
|
||||
<SettingsDialog
|
||||
open={settingsOpen}
|
||||
onOpenChange={handleSettingsOpenChange}
|
||||
|
||||
@@ -164,7 +164,7 @@ export default function TokenMonitoring({
|
||||
}, [fetchStats]);
|
||||
|
||||
const chartData = useMemo(() => {
|
||||
if (!stats) return [];
|
||||
if (!stats || !Array.isArray(stats.timeseries)) return [];
|
||||
return stats.timeseries.map((p) => ({
|
||||
bucket: p.bucket,
|
||||
input: p.input_tokens,
|
||||
@@ -198,7 +198,7 @@ export default function TokenMonitoring({
|
||||
);
|
||||
}
|
||||
|
||||
if (!stats || stats.summary.total_calls === 0) {
|
||||
if (!stats || !stats.summary || stats.summary.total_calls === 0) {
|
||||
return (
|
||||
<div className="bg-card rounded-xl border p-6">
|
||||
<div className="h-[260px] flex flex-col items-center justify-center text-muted-foreground gap-2">
|
||||
@@ -209,7 +209,8 @@ export default function TokenMonitoring({
|
||||
);
|
||||
}
|
||||
|
||||
const { summary, by_model } = stats;
|
||||
const summary = stats.summary;
|
||||
const by_model = Array.isArray(stats.by_model) ? stats.by_model : [];
|
||||
|
||||
return (
|
||||
<div className="space-y-6">
|
||||
|
||||
@@ -65,14 +65,16 @@ export default function SystemStatusCard({
|
||||
|
||||
const fetchStatus = useCallback(async () => {
|
||||
try {
|
||||
const [plugin, box, sessions] = await Promise.all([
|
||||
const [plugin, box] = await Promise.all([
|
||||
httpClient.getPluginSystemStatus().catch(() => null),
|
||||
httpClient.getBoxStatus().catch(() => null),
|
||||
httpClient.getBoxSessions().catch(() => [] as BoxSessionInfo[]),
|
||||
]);
|
||||
const sessions = box?.hidden
|
||||
? []
|
||||
: await httpClient.getBoxSessions().catch(() => [] as BoxSessionInfo[]);
|
||||
setPluginStatus(plugin);
|
||||
setBoxStatus(box);
|
||||
setBoxSessions(sessions);
|
||||
setBoxSessions(Array.isArray(sessions) ? sessions : []);
|
||||
} finally {
|
||||
setLoading(false);
|
||||
}
|
||||
@@ -95,6 +97,7 @@ export default function SystemStatusCard({
|
||||
: 'failed'
|
||||
: null;
|
||||
const boxOk = boxStatus ? boxStatus.available : null;
|
||||
const hideBoxRuntime = boxStatus?.hidden === true;
|
||||
// Box has three observable states: connected (ok), disabled by config
|
||||
// (enabled = false → distinct gray dot + "disabled" hint), and configured
|
||||
// but failed (red dot + connector_error). The dashboard must distinguish
|
||||
@@ -152,11 +155,13 @@ export default function SystemStatusCard({
|
||||
<Plug className="w-3.5 h-3.5 text-muted-foreground" />
|
||||
<span className="text-sm">{t('monitoring.pluginRuntime')}</span>
|
||||
</div>
|
||||
<div className="flex items-center gap-2">
|
||||
<StatusDot state={boxState} />
|
||||
<Box className="w-3.5 h-3.5 text-muted-foreground" />
|
||||
<span className="text-sm">{t('monitoring.boxRuntime')}</span>
|
||||
</div>
|
||||
{!hideBoxRuntime && (
|
||||
<div className="flex items-center gap-2">
|
||||
<StatusDot state={boxState} />
|
||||
<Box className="w-3.5 h-3.5 text-muted-foreground" />
|
||||
<span className="text-sm">{t('monitoring.boxRuntime')}</span>
|
||||
</div>
|
||||
)}
|
||||
</CardContent>
|
||||
</Card>
|
||||
|
||||
@@ -214,181 +219,189 @@ export default function SystemStatusCard({
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="border-t" />
|
||||
{!hideBoxRuntime && (
|
||||
<>
|
||||
<div className="border-t" />
|
||||
|
||||
{/* Box Runtime */}
|
||||
<div className="space-y-2">
|
||||
<div className="flex items-center gap-2">
|
||||
<Box className="w-4 h-4 text-muted-foreground" />
|
||||
<span className="text-sm font-semibold">
|
||||
{t('monitoring.boxRuntime')}
|
||||
</span>
|
||||
</div>
|
||||
<div className="ml-6 text-sm space-y-1">
|
||||
<div className="flex items-center gap-1.5">
|
||||
{boxState === 'ok' ? (
|
||||
<CircleCheck className="w-4 h-4 text-green-600" />
|
||||
) : (
|
||||
<CircleX
|
||||
className={
|
||||
boxState === 'disabled'
|
||||
? 'w-4 h-4 text-muted-foreground'
|
||||
: 'w-4 h-4 text-red-500'
|
||||
}
|
||||
/>
|
||||
)}
|
||||
<span
|
||||
className={
|
||||
boxState === 'ok'
|
||||
? 'text-green-600 font-medium'
|
||||
: boxState === 'disabled'
|
||||
? 'text-muted-foreground font-medium'
|
||||
: 'text-red-500 font-medium'
|
||||
}
|
||||
>
|
||||
{boxState === 'ok'
|
||||
? t('monitoring.connected')
|
||||
: boxState === 'disabled'
|
||||
? t('monitoring.disabled')
|
||||
: t('monitoring.disconnected')}
|
||||
</span>
|
||||
</div>
|
||||
{boxState === 'disabled' && (
|
||||
<p className="text-muted-foreground text-xs">
|
||||
{t('monitoring.boxDisabled')}
|
||||
</p>
|
||||
)}
|
||||
{boxState === 'failed' && boxStatus?.connector_error && (
|
||||
<p className="text-red-400 text-xs break-all">
|
||||
{boxStatus.connector_error}
|
||||
</p>
|
||||
)}
|
||||
{boxStatus && (
|
||||
<div className="text-muted-foreground text-xs space-y-0.5">
|
||||
{boxStatus.backend && (
|
||||
<p>
|
||||
{t('monitoring.boxBackend')}:{' '}
|
||||
<span className="text-foreground font-mono">
|
||||
{boxStatus.backend.name}
|
||||
</span>
|
||||
</p>
|
||||
)}
|
||||
<p>
|
||||
{t('monitoring.boxProfile')}:{' '}
|
||||
<span className="text-foreground font-mono">
|
||||
{boxStatus.profile}
|
||||
</span>
|
||||
</p>
|
||||
{boxOk && boxStatus.active_sessions !== undefined && (
|
||||
<p>
|
||||
{t('monitoring.boxSandboxes')}:{' '}
|
||||
<span className="text-foreground font-mono">
|
||||
{boxStatus.active_sessions}
|
||||
</span>
|
||||
</p>
|
||||
)}
|
||||
{/* Box Runtime */}
|
||||
<div className="space-y-2">
|
||||
<div className="flex items-center gap-2">
|
||||
<Box className="w-4 h-4 text-muted-foreground" />
|
||||
<span className="text-sm font-semibold">
|
||||
{t('monitoring.boxRuntime')}
|
||||
</span>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* Active Sandboxes */}
|
||||
{boxSessions.length > 0 && (
|
||||
<div className="mt-3 space-y-2">
|
||||
{boxSessions.map((session) => (
|
||||
<div
|
||||
key={session.session_id}
|
||||
className="rounded-lg border p-3 space-y-2"
|
||||
<div className="ml-6 text-sm space-y-1">
|
||||
<div className="flex items-center gap-1.5">
|
||||
{boxState === 'ok' ? (
|
||||
<CircleCheck className="w-4 h-4 text-green-600" />
|
||||
) : (
|
||||
<CircleX
|
||||
className={
|
||||
boxState === 'disabled'
|
||||
? 'w-4 h-4 text-muted-foreground'
|
||||
: 'w-4 h-4 text-red-500'
|
||||
}
|
||||
/>
|
||||
)}
|
||||
<span
|
||||
className={
|
||||
boxState === 'ok'
|
||||
? 'text-green-600 font-medium'
|
||||
: boxState === 'disabled'
|
||||
? 'text-muted-foreground font-medium'
|
||||
: 'text-red-500 font-medium'
|
||||
}
|
||||
>
|
||||
<div className="flex items-center gap-1.5 min-w-0">
|
||||
<Container className="w-4 h-4 text-muted-foreground flex-shrink-0" />
|
||||
<Tooltip>
|
||||
<TooltipTrigger asChild>
|
||||
<span className="font-mono font-semibold text-foreground truncate text-sm">
|
||||
{session.session_id}
|
||||
</span>
|
||||
</TooltipTrigger>
|
||||
<TooltipContent>
|
||||
{session.session_id}
|
||||
</TooltipContent>
|
||||
</Tooltip>
|
||||
</div>
|
||||
<div className="grid grid-cols-2 gap-x-4 gap-y-1.5 text-xs">
|
||||
<div className="flex items-center gap-1.5 text-muted-foreground min-w-0">
|
||||
<Image className="w-3 h-3 flex-shrink-0" />
|
||||
<Tooltip>
|
||||
<TooltipTrigger asChild>
|
||||
<span className="text-foreground font-mono truncate">
|
||||
{session.image}
|
||||
</span>
|
||||
</TooltipTrigger>
|
||||
<TooltipContent>{session.image}</TooltipContent>
|
||||
</Tooltip>
|
||||
</div>
|
||||
<div className="flex items-center gap-1.5 text-muted-foreground">
|
||||
<HardDrive className="w-3 h-3 flex-shrink-0" />
|
||||
<span className="text-foreground">
|
||||
{session.backend_name}
|
||||
{boxState === 'ok'
|
||||
? t('monitoring.connected')
|
||||
: boxState === 'disabled'
|
||||
? t('monitoring.disabled')
|
||||
: t('monitoring.disconnected')}
|
||||
</span>
|
||||
</div>
|
||||
{boxState === 'disabled' && (
|
||||
<p className="text-muted-foreground text-xs">
|
||||
{t('monitoring.boxDisabled')}
|
||||
</p>
|
||||
)}
|
||||
{boxState === 'failed' && boxStatus?.connector_error && (
|
||||
<p className="text-red-400 text-xs break-all">
|
||||
{boxStatus.connector_error}
|
||||
</p>
|
||||
)}
|
||||
{boxStatus && (
|
||||
<div className="text-muted-foreground text-xs space-y-0.5">
|
||||
{boxStatus.backend && (
|
||||
<p>
|
||||
{t('monitoring.boxBackend')}:{' '}
|
||||
<span className="text-foreground font-mono">
|
||||
{boxStatus.backend.name}
|
||||
</span>
|
||||
</div>
|
||||
<div className="flex items-center gap-1.5 text-muted-foreground">
|
||||
<Cpu className="w-3 h-3 flex-shrink-0" />
|
||||
<span className="text-foreground">
|
||||
{session.cpus} CPU / {session.memory_mb} MB
|
||||
</p>
|
||||
)}
|
||||
<p>
|
||||
{t('monitoring.boxProfile')}:{' '}
|
||||
<span className="text-foreground font-mono">
|
||||
{boxStatus.profile}
|
||||
</span>
|
||||
</p>
|
||||
{boxOk && boxStatus.active_sessions !== undefined && (
|
||||
<p>
|
||||
{t('monitoring.boxSandboxes')}:{' '}
|
||||
<span className="text-foreground font-mono">
|
||||
{boxStatus.active_sessions}
|
||||
</span>
|
||||
</div>
|
||||
<div className="flex items-center gap-1.5 text-muted-foreground">
|
||||
<Network className="w-3 h-3 flex-shrink-0" />
|
||||
<span className="text-foreground">
|
||||
{session.network}
|
||||
</span>
|
||||
</div>
|
||||
{session.host_path && (
|
||||
<div className="flex items-center gap-1.5 text-muted-foreground col-span-2 min-w-0">
|
||||
<FolderOpen className="w-3 h-3 flex-shrink-0" />
|
||||
</p>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* Active Sandboxes */}
|
||||
{boxSessions.length > 0 && (
|
||||
<div className="mt-3 space-y-2">
|
||||
{boxSessions.map((session) => (
|
||||
<div
|
||||
key={session.session_id}
|
||||
className="rounded-lg border p-3 space-y-2"
|
||||
>
|
||||
<div className="flex items-center gap-1.5 min-w-0">
|
||||
<Container className="w-4 h-4 text-muted-foreground flex-shrink-0" />
|
||||
<Tooltip>
|
||||
<TooltipTrigger asChild>
|
||||
<span className="text-foreground font-mono truncate">
|
||||
{session.host_path} : {session.mount_path}{' '}
|
||||
<span className="text-muted-foreground">
|
||||
({session.host_path_mode})
|
||||
</span>
|
||||
<span className="font-mono font-semibold text-foreground truncate text-sm">
|
||||
{session.session_id}
|
||||
</span>
|
||||
</TooltipTrigger>
|
||||
<TooltipContent>
|
||||
{session.host_path} : {session.mount_path} (
|
||||
{session.host_path_mode})
|
||||
{session.session_id}
|
||||
</TooltipContent>
|
||||
</Tooltip>
|
||||
</div>
|
||||
)}
|
||||
<div className="flex items-center gap-1.5 text-muted-foreground">
|
||||
<Clock className="w-3 h-3 flex-shrink-0" />
|
||||
<span>
|
||||
{t('monitoring.boxSessionCreated')}:{' '}
|
||||
<span className="text-foreground">
|
||||
{new Date(
|
||||
session.created_at,
|
||||
).toLocaleString()}
|
||||
</span>
|
||||
</span>
|
||||
<div className="grid grid-cols-2 gap-x-4 gap-y-1.5 text-xs">
|
||||
<div className="flex items-center gap-1.5 text-muted-foreground min-w-0">
|
||||
<Image className="w-3 h-3 flex-shrink-0" />
|
||||
<Tooltip>
|
||||
<TooltipTrigger asChild>
|
||||
<span className="text-foreground font-mono truncate">
|
||||
{session.image}
|
||||
</span>
|
||||
</TooltipTrigger>
|
||||
<TooltipContent>
|
||||
{session.image}
|
||||
</TooltipContent>
|
||||
</Tooltip>
|
||||
</div>
|
||||
<div className="flex items-center gap-1.5 text-muted-foreground">
|
||||
<HardDrive className="w-3 h-3 flex-shrink-0" />
|
||||
<span className="text-foreground">
|
||||
{session.backend_name}
|
||||
</span>
|
||||
</div>
|
||||
<div className="flex items-center gap-1.5 text-muted-foreground">
|
||||
<Cpu className="w-3 h-3 flex-shrink-0" />
|
||||
<span className="text-foreground">
|
||||
{session.cpus} CPU / {session.memory_mb} MB
|
||||
</span>
|
||||
</div>
|
||||
<div className="flex items-center gap-1.5 text-muted-foreground">
|
||||
<Network className="w-3 h-3 flex-shrink-0" />
|
||||
<span className="text-foreground">
|
||||
{session.network}
|
||||
</span>
|
||||
</div>
|
||||
{session.host_path && (
|
||||
<div className="flex items-center gap-1.5 text-muted-foreground col-span-2 min-w-0">
|
||||
<FolderOpen className="w-3 h-3 flex-shrink-0" />
|
||||
<Tooltip>
|
||||
<TooltipTrigger asChild>
|
||||
<span className="text-foreground font-mono truncate">
|
||||
{session.host_path} :{' '}
|
||||
{session.mount_path}{' '}
|
||||
<span className="text-muted-foreground">
|
||||
({session.host_path_mode})
|
||||
</span>
|
||||
</span>
|
||||
</TooltipTrigger>
|
||||
<TooltipContent>
|
||||
{session.host_path} :{' '}
|
||||
{session.mount_path} (
|
||||
{session.host_path_mode})
|
||||
</TooltipContent>
|
||||
</Tooltip>
|
||||
</div>
|
||||
)}
|
||||
<div className="flex items-center gap-1.5 text-muted-foreground">
|
||||
<Clock className="w-3 h-3 flex-shrink-0" />
|
||||
<span>
|
||||
{t('monitoring.boxSessionCreated')}:{' '}
|
||||
<span className="text-foreground">
|
||||
{new Date(
|
||||
session.created_at,
|
||||
).toLocaleString()}
|
||||
</span>
|
||||
</span>
|
||||
</div>
|
||||
<div className="flex items-center gap-1.5 text-muted-foreground">
|
||||
<Clock className="w-3 h-3 flex-shrink-0" />
|
||||
<span>
|
||||
{t('monitoring.boxSessionLastUsed')}:{' '}
|
||||
<span className="text-foreground">
|
||||
{new Date(
|
||||
session.last_used_at,
|
||||
).toLocaleString()}
|
||||
</span>
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div className="flex items-center gap-1.5 text-muted-foreground">
|
||||
<Clock className="w-3 h-3 flex-shrink-0" />
|
||||
<span>
|
||||
{t('monitoring.boxSessionLastUsed')}:{' '}
|
||||
<span className="text-foreground">
|
||||
{new Date(
|
||||
session.last_used_at,
|
||||
).toLocaleString()}
|
||||
</span>
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
))}
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</>
|
||||
)}
|
||||
</div>
|
||||
</TooltipProvider>
|
||||
</DialogContent>
|
||||
|
||||
@@ -34,14 +34,16 @@ export default function TrafficChart({
|
||||
const { t } = useTranslation();
|
||||
|
||||
const chartData = useMemo(() => {
|
||||
if (!messages.length && !llmCalls.length) {
|
||||
const safeMessages = Array.isArray(messages) ? messages : [];
|
||||
const safeLlmCalls = Array.isArray(llmCalls) ? llmCalls : [];
|
||||
if (!safeMessages.length && !safeLlmCalls.length) {
|
||||
return [];
|
||||
}
|
||||
|
||||
// Combine all timestamps and find the range
|
||||
const allTimestamps = [
|
||||
...messages.map((m) => m.timestamp.getTime()),
|
||||
...llmCalls.map((c) => c.timestamp.getTime()),
|
||||
...safeMessages.map((m) => m.timestamp.getTime()),
|
||||
...safeLlmCalls.map((c) => c.timestamp.getTime()),
|
||||
];
|
||||
|
||||
if (allTimestamps.length === 0) return [];
|
||||
@@ -99,7 +101,7 @@ export default function TrafficChart({
|
||||
}
|
||||
|
||||
// Count messages per bucket
|
||||
messages.forEach((msg) => {
|
||||
safeMessages.forEach((msg) => {
|
||||
const bucket =
|
||||
Math.floor(msg.timestamp.getTime() / bucketSize) * bucketSize;
|
||||
const point = buckets.get(bucket);
|
||||
@@ -109,7 +111,7 @@ export default function TrafficChart({
|
||||
});
|
||||
|
||||
// Count LLM calls per bucket
|
||||
llmCalls.forEach((call) => {
|
||||
safeLlmCalls.forEach((call) => {
|
||||
const bucket =
|
||||
Math.floor(call.timestamp.getTime() / bucketSize) * bucketSize;
|
||||
const point = buckets.get(bucket);
|
||||
|
||||
@@ -92,18 +92,46 @@ export function useMonitoringData(filterState: FilterState) {
|
||||
limit: 50,
|
||||
});
|
||||
|
||||
const overview = response?.overview ?? {
|
||||
total_messages: 0,
|
||||
llm_calls: 0,
|
||||
embedding_calls: 0,
|
||||
model_calls: 0,
|
||||
success_rate: 100,
|
||||
active_sessions: 0,
|
||||
};
|
||||
const messages = Array.isArray(response?.messages)
|
||||
? response.messages
|
||||
: [];
|
||||
const llmCalls = Array.isArray(response?.llmCalls)
|
||||
? response.llmCalls
|
||||
: [];
|
||||
const embeddingCalls = Array.isArray(response?.embeddingCalls)
|
||||
? response.embeddingCalls
|
||||
: [];
|
||||
const sessions = Array.isArray(response?.sessions)
|
||||
? response.sessions
|
||||
: [];
|
||||
const errors = Array.isArray(response?.errors) ? response.errors : [];
|
||||
const totalCount = response?.totalCount ?? {
|
||||
messages: messages.length,
|
||||
llmCalls: llmCalls.length,
|
||||
embeddingCalls: embeddingCalls.length,
|
||||
sessions: sessions.length,
|
||||
errors: errors.length,
|
||||
};
|
||||
|
||||
// Transform the response to match MonitoringData interface
|
||||
const transformedData: MonitoringData = {
|
||||
overview: {
|
||||
totalMessages: response.overview.total_messages,
|
||||
llmCalls: response.overview.llm_calls,
|
||||
embeddingCalls: response.overview.embedding_calls || 0,
|
||||
modelCalls:
|
||||
response.overview.model_calls || response.overview.llm_calls,
|
||||
successRate: response.overview.success_rate,
|
||||
activeSessions: response.overview.active_sessions,
|
||||
totalMessages: overview.total_messages,
|
||||
llmCalls: overview.llm_calls,
|
||||
embeddingCalls: overview.embedding_calls || 0,
|
||||
modelCalls: overview.model_calls || overview.llm_calls,
|
||||
successRate: overview.success_rate,
|
||||
activeSessions: overview.active_sessions,
|
||||
},
|
||||
messages: response.messages.map(
|
||||
messages: messages.map(
|
||||
(msg: {
|
||||
id: string;
|
||||
timestamp: string;
|
||||
@@ -136,7 +164,7 @@ export function useMonitoringData(filterState: FilterState) {
|
||||
variables: msg.variables,
|
||||
}),
|
||||
),
|
||||
llmCalls: response.llmCalls.map(
|
||||
llmCalls: llmCalls.map(
|
||||
(call: {
|
||||
id: string;
|
||||
timestamp: string;
|
||||
@@ -173,7 +201,7 @@ export function useMonitoringData(filterState: FilterState) {
|
||||
messageId: call.message_id,
|
||||
}),
|
||||
),
|
||||
embeddingCalls: (response.embeddingCalls || []).map(
|
||||
embeddingCalls: embeddingCalls.map(
|
||||
(call: {
|
||||
id: string;
|
||||
timestamp: string;
|
||||
@@ -208,7 +236,7 @@ export function useMonitoringData(filterState: FilterState) {
|
||||
),
|
||||
// Create merged modelCalls array from llmCalls and embeddingCalls
|
||||
modelCalls: [] as ModelCall[], // Will be populated after transform
|
||||
sessions: response.sessions.map(
|
||||
sessions: sessions.map(
|
||||
(session: {
|
||||
session_id: string;
|
||||
bot_id: string;
|
||||
@@ -236,7 +264,7 @@ export function useMonitoringData(filterState: FilterState) {
|
||||
userId: session.user_id,
|
||||
}),
|
||||
),
|
||||
errors: response.errors.map(
|
||||
errors: errors.map(
|
||||
(error: {
|
||||
id: string;
|
||||
timestamp: string;
|
||||
@@ -264,11 +292,11 @@ export function useMonitoringData(filterState: FilterState) {
|
||||
}),
|
||||
),
|
||||
totalCount: {
|
||||
messages: response.totalCount.messages,
|
||||
llmCalls: response.totalCount.llmCalls,
|
||||
embeddingCalls: response.totalCount.embeddingCalls || 0,
|
||||
sessions: response.totalCount.sessions,
|
||||
errors: response.totalCount.errors,
|
||||
messages: totalCount.messages,
|
||||
llmCalls: totalCount.llmCalls,
|
||||
embeddingCalls: totalCount.embeddingCalls || 0,
|
||||
sessions: totalCount.sessions,
|
||||
errors: totalCount.errors,
|
||||
},
|
||||
};
|
||||
|
||||
|
||||
@@ -373,6 +373,8 @@ export interface ApiRespPluginSystemStatus {
|
||||
|
||||
export interface ApiRespBoxStatus {
|
||||
available: boolean;
|
||||
/** UI hint: hide the Box runtime status surface for this deployment. */
|
||||
hidden?: boolean;
|
||||
/** Whether ``box.enabled`` is true in config. When false, the sandbox
|
||||
* is deliberately disabled — distinct from "configured but failed". */
|
||||
enabled?: boolean;
|
||||
|
||||
@@ -1332,6 +1332,17 @@ export class BackendClient extends BaseHttpClient {
|
||||
return this.post('/api/v1/survey/dismiss', { survey_id: surveyId });
|
||||
}
|
||||
|
||||
public submitFeedback(data: {
|
||||
content: string;
|
||||
attachments?: Array<{
|
||||
name: string;
|
||||
mime_type: string;
|
||||
data_url: string;
|
||||
}>;
|
||||
}): Promise<object> {
|
||||
return this.post('/api/v1/survey/feedback', data);
|
||||
}
|
||||
|
||||
// ============ Skills API ============
|
||||
|
||||
public getSkills(): Promise<ApiRespSkills> {
|
||||
|
||||
@@ -35,7 +35,7 @@ const enUS = {
|
||||
emptyPassword: 'Please enter your password',
|
||||
language: 'Language',
|
||||
helpDocs: 'Get Help',
|
||||
featureRequest: 'Feature Request',
|
||||
featureRequest: 'Feedback',
|
||||
starOnGitHub: 'Star on GitHub',
|
||||
joinDiscord: 'Join our Discord',
|
||||
create: 'Create',
|
||||
@@ -1362,6 +1362,22 @@ const enUS = {
|
||||
inaccurateReasons: 'Inaccurate Reasons',
|
||||
platform: 'Platform',
|
||||
exportFeedback: 'Export Feedback',
|
||||
description:
|
||||
'Tell us what went wrong or what could be better. Instance UUID and login account are included for diagnosis.',
|
||||
placeholder: 'Describe your suggestion, issue, or reproduction steps...',
|
||||
attachImage: 'Add image',
|
||||
screenshot: 'Screenshot',
|
||||
submit: 'Submit feedback',
|
||||
privacyHint:
|
||||
'Do not include secrets, passwords, or private chat content.',
|
||||
contentRequired: 'Please enter feedback first',
|
||||
imageOnly: 'Only image attachments are supported',
|
||||
imageTooLarge: 'Each image must be under 1MB',
|
||||
tooManyImages: 'You can attach up to 3 images',
|
||||
screenshotFailed: 'Screenshot failed. Try pasting or uploading an image.',
|
||||
submitSuccess: 'Feedback submitted. Thanks!',
|
||||
submitFailed: 'Failed to submit feedback. Please try again later.',
|
||||
removeImage: 'Remove image',
|
||||
},
|
||||
queries: {
|
||||
title: 'Queries',
|
||||
|
||||
@@ -1395,6 +1395,22 @@ const esES = {
|
||||
inaccurateReasons: 'Razones de inexactitud',
|
||||
platform: 'Plataforma',
|
||||
exportFeedback: 'Exportar comentarios',
|
||||
description:
|
||||
'Tell us what went wrong or what could be better. Instance UUID and login account are included for diagnosis.',
|
||||
placeholder: 'Describe your suggestion, issue, or reproduction steps...',
|
||||
attachImage: 'Add image',
|
||||
screenshot: 'Screenshot',
|
||||
submit: 'Submit feedback',
|
||||
privacyHint:
|
||||
'Do not include secrets, passwords, or private chat content.',
|
||||
contentRequired: 'Please enter feedback first',
|
||||
imageOnly: 'Only image attachments are supported',
|
||||
imageTooLarge: 'Each image must be under 1MB',
|
||||
tooManyImages: 'You can attach up to 3 images',
|
||||
screenshotFailed: 'Screenshot failed. Try pasting or uploading an image.',
|
||||
submitSuccess: 'Feedback submitted. Thanks!',
|
||||
submitFailed: 'Failed to submit feedback. Please try again later.',
|
||||
removeImage: 'Remove image',
|
||||
},
|
||||
queries: {
|
||||
title: 'Consultas',
|
||||
|
||||
@@ -36,7 +36,7 @@ const jaJP = {
|
||||
emptyPassword: 'パスワードを入力してください',
|
||||
language: '言語',
|
||||
helpDocs: 'ヘルプドキュメント',
|
||||
featureRequest: '機能リクエスト',
|
||||
featureRequest: 'フィードバック',
|
||||
starOnGitHub: 'GitHubでStarする',
|
||||
joinDiscord: 'Discord に参加',
|
||||
create: '作成',
|
||||
@@ -1368,6 +1368,22 @@ const jaJP = {
|
||||
inaccurateReasons: '不正確な理由',
|
||||
platform: 'プラットフォーム',
|
||||
exportFeedback: 'フィードバックをエクスポート',
|
||||
description:
|
||||
'問題点や改善案を教えてください。診断のため、インスタンス UUID、ログインアカウント、ページ情報も送信されます。',
|
||||
placeholder: '提案、問題、再現手順を入力してください...',
|
||||
attachImage: '画像を追加',
|
||||
screenshot: 'スクリーンショット',
|
||||
submit: '送信',
|
||||
privacyHint: '秘密鍵、パスワード、個人的な会話内容は含めないでください。',
|
||||
contentRequired: 'フィードバック内容を入力してください',
|
||||
imageOnly: '画像のみ添付できます',
|
||||
imageTooLarge: '画像は 1 枚 2MB 未満にしてください',
|
||||
tooManyImages: '画像は最大 3 枚まで添付できます',
|
||||
screenshotFailed:
|
||||
'スクリーンショットに失敗しました。貼り付けまたはアップロードを試してください。',
|
||||
submitSuccess: 'フィードバックを送信しました。ありがとうございます！',
|
||||
submitFailed: '送信に失敗しました。後でもう一度お試しください。',
|
||||
removeImage: '画像を削除',
|
||||
},
|
||||
messageDetails: {
|
||||
noData: 'このクエリにはLLM呼び出しやエラーがありません',
|
||||
|
||||
@@ -1371,6 +1371,22 @@ const ruRU = {
|
||||
inaccurateReasons: 'Причины неточности',
|
||||
platform: 'Платформа',
|
||||
exportFeedback: 'Экспорт отзывов',
|
||||
description:
|
||||
'Tell us what went wrong or what could be better. Instance UUID and login account are included for diagnosis.',
|
||||
placeholder: 'Describe your suggestion, issue, or reproduction steps...',
|
||||
attachImage: 'Add image',
|
||||
screenshot: 'Screenshot',
|
||||
submit: 'Submit feedback',
|
||||
privacyHint:
|
||||
'Do not include secrets, passwords, or private chat content.',
|
||||
contentRequired: 'Please enter feedback first',
|
||||
imageOnly: 'Only image attachments are supported',
|
||||
imageTooLarge: 'Each image must be under 1MB',
|
||||
tooManyImages: 'You can attach up to 3 images',
|
||||
screenshotFailed: 'Screenshot failed. Try pasting or uploading an image.',
|
||||
submitSuccess: 'Feedback submitted. Thanks!',
|
||||
submitFailed: 'Failed to submit feedback. Please try again later.',
|
||||
removeImage: 'Remove image',
|
||||
},
|
||||
queries: {
|
||||
title: 'Запросы',
|
||||
|
||||
@@ -1340,6 +1340,22 @@ const thTH = {
|
||||
inaccurateReasons: 'เหตุผลที่ไม่ถูกต้อง',
|
||||
platform: 'แพลตฟอร์ม',
|
||||
exportFeedback: 'ส่งออกความคิดเห็น',
|
||||
description:
|
||||
'Tell us what went wrong or what could be better. Instance UUID and login account are included for diagnosis.',
|
||||
placeholder: 'Describe your suggestion, issue, or reproduction steps...',
|
||||
attachImage: 'Add image',
|
||||
screenshot: 'Screenshot',
|
||||
submit: 'Submit feedback',
|
||||
privacyHint:
|
||||
'Do not include secrets, passwords, or private chat content.',
|
||||
contentRequired: 'Please enter feedback first',
|
||||
imageOnly: 'Only image attachments are supported',
|
||||
imageTooLarge: 'Each image must be under 1MB',
|
||||
tooManyImages: 'You can attach up to 3 images',
|
||||
screenshotFailed: 'Screenshot failed. Try pasting or uploading an image.',
|
||||
submitSuccess: 'Feedback submitted. Thanks!',
|
||||
submitFailed: 'Failed to submit feedback. Please try again later.',
|
||||
removeImage: 'Remove image',
|
||||
},
|
||||
queries: {
|
||||
title: 'คำค้นหา',
|
||||
|
||||
@@ -1364,6 +1364,22 @@ const viVN = {
|
||||
inaccurateReasons: 'Lý do không chính xác',
|
||||
platform: 'Nền tảng',
|
||||
exportFeedback: 'Xuất phản hồi',
|
||||
description:
|
||||
'Tell us what went wrong or what could be better. Instance UUID and login account are included for diagnosis.',
|
||||
placeholder: 'Describe your suggestion, issue, or reproduction steps...',
|
||||
attachImage: 'Add image',
|
||||
screenshot: 'Screenshot',
|
||||
submit: 'Submit feedback',
|
||||
privacyHint:
|
||||
'Do not include secrets, passwords, or private chat content.',
|
||||
contentRequired: 'Please enter feedback first',
|
||||
imageOnly: 'Only image attachments are supported',
|
||||
imageTooLarge: 'Each image must be under 1MB',
|
||||
tooManyImages: 'You can attach up to 3 images',
|
||||
screenshotFailed: 'Screenshot failed. Try pasting or uploading an image.',
|
||||
submitSuccess: 'Feedback submitted. Thanks!',
|
||||
submitFailed: 'Failed to submit feedback. Please try again later.',
|
||||
removeImage: 'Remove image',
|
||||
},
|
||||
queries: {
|
||||
title: 'Truy vấn',
|
||||
|
||||
@@ -34,7 +34,7 @@ const zhHans = {
|
||||
emptyPassword: '请输入密码',
|
||||
language: '语言',
|
||||
helpDocs: '帮助文档',
|
||||
featureRequest: '需求建议',
|
||||
featureRequest: '建议反馈',
|
||||
starOnGitHub: '在 GitHub 上 Star',
|
||||
joinDiscord: '加入 Discord 社区',
|
||||
create: '创建',
|
||||
@@ -1301,6 +1301,21 @@ const zhHans = {
|
||||
inaccurateReasons: '不准确原因',
|
||||
platform: '平台',
|
||||
exportFeedback: '导出反馈',
|
||||
description:
|
||||
'告诉我们遇到的问题或想要的改进。提交时会附带实例 UUID 和登录账号，方便定位。',
|
||||
placeholder: '请描述你的建议、问题或复现步骤...',
|
||||
attachImage: '添加图片',
|
||||
screenshot: '截图',
|
||||
submit: '提交反馈',
|
||||
privacyHint: '请勿提交敏感密钥、密码或私人聊天内容。',
|
||||
contentRequired: '请先填写反馈内容',
|
||||
imageOnly: '仅支持图片附件',
|
||||
imageTooLarge: '单张图片不能超过 1MB',
|
||||
tooManyImages: '最多添加 3 张图片',
|
||||
screenshotFailed: '截图失败，请尝试粘贴或上传图片',
|
||||
submitSuccess: '反馈已提交，感谢！',
|
||||
submitFailed: '反馈提交失败，请稍后重试',
|
||||
removeImage: '移除图片',
|
||||
},
|
||||
queries: {
|
||||
title: '查询记录',
|
||||
|
||||
@@ -1300,6 +1300,21 @@ const zhHant = {
|
||||
inaccurateReasons: '不準確原因',
|
||||
platform: '平台',
|
||||
exportFeedback: '匯出反饋',
|
||||
description:
|
||||
'告訴我們遇到的問題或想要的改進。提交時會附帶實例 UUID 和登入帳號，方便定位。',
|
||||
placeholder: '請描述你的建議、問題或重現步驟...',
|
||||
attachImage: '新增圖片',
|
||||
screenshot: '截圖',
|
||||
submit: '提交反饋',
|
||||
privacyHint: '請勿提交敏感金鑰、密碼或私人聊天內容。',
|
||||
contentRequired: '請先填寫反饋內容',
|
||||
imageOnly: '僅支援圖片附件',
|
||||
imageTooLarge: '單張圖片不能超過 1MB',
|
||||
tooManyImages: '最多新增 3 張圖片',
|
||||
screenshotFailed: '截圖失敗，請嘗試貼上或上傳圖片',
|
||||
submitSuccess: '反饋已提交，感謝！',
|
||||
submitFailed: '反饋提交失敗，請稍後再試',
|
||||
removeImage: '移除圖片',
|
||||
},
|
||||
messageDetails: {
|
||||
noData: '此查詢沒有LLM調用或錯誤記錄',
|
||||
|
||||
Reference in New Issue
Block a user