From 753e6c9359824ad979944deee0c2b4887e3414a2 Mon Sep 17 00:00:00 2001 From: MiaomiaoMaIntel Date: Mon, 22 Jun 2026 18:01:32 -0700 Subject: [PATCH 1/5] update ctl user guide --- superclaw/superclaw-ctl/USER-GUIDE.md | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) diff --git a/superclaw/superclaw-ctl/USER-GUIDE.md b/superclaw/superclaw-ctl/USER-GUIDE.md index fe0583ba..6787606c 100644 --- a/superclaw/superclaw-ctl/USER-GUIDE.md +++ b/superclaw/superclaw-ctl/USER-GUIDE.md @@ -17,7 +17,11 @@ Make sure the model-serving workstation has: | Requirement | Notes | |-------------|-------| +<<<<<<< HEAD | Ubuntu Linux x86_64 | Must run on the server host | +======= +| Linux x86_64 | Must run on the server host | +>>>>>>> cf521d5 (update ctl user guide) | Docker Engine with Compose plugin | `docker compose` must work | | Intel GPU | Tested on Intel® Arc B70 Pro | | Internet access | Required on first setup to pull images and download models | @@ -63,14 +67,22 @@ Keys generated. They will be shown once below: Key Value ------------------------------------------------------------ +<<<<<<< HEAD vllm_api_key +======= + vllm_api_key VjQyct_fyDjti48zoj82-BOGYF89y8traWASrDKlsyY +>>>>>>> cf521d5 (update ctl user guide) Config saved to /root/.config/superclaw-ctl ``` Copy and save the full `vllm_api_key`. This is the **connection key** for the SuperClaw Client App. +<<<<<<< HEAD If you miss it, you can reveal it again later: +======= +If you miss it, reveal it again later: +>>>>>>> cf521d5 (update ctl user guide) ```bash superclaw-ctl keys show --reveal @@ -88,9 +100,15 @@ The first start can take several minutes while the models load. When startup suc ```text Connection +<<<<<<< HEAD URL: http://192.168.1.1:8080 vLLM Model Router: 192.168.1.1:8080 Token: ... +======= +URL: http://192.168.52.102:8080 +vLLM Model Router: 192.168.52.102:8080 +Token: VjQy... +>>>>>>> cf521d5 (update ctl user guide) ``` Copy the **URL**. The **Token** shown by `up` is shortened, so do not use it as the Client App connection key. Use the full `vllm_api_key` from `init` or `superclaw-ctl keys show --reveal`. @@ -174,7 +192,11 @@ superclaw-ctl models download --verify superclaw-ctl models list superclaw-ctl models info Qwen3-Coder-Next superclaw-ctl models download +<<<<<<< HEAD superclaw-ctl models download --model qwen3-coder-next +======= +superclaw-ctl models download --model Qwen3-Coder-Next +>>>>>>> cf521d5 (update ctl user guide) superclaw-ctl models download --verify ``` From 74ff3d3a0ed54865922c377721943627c4f2263c Mon Sep 17 00:00:00 2001 From: "Seow, Wen Jie" Date: Tue, 23 Jun 2026 17:02:57 +0800 Subject: [PATCH 2/5] Minor updates to superclaw-ctl user guide --- superclaw/superclaw-ctl/USER-GUIDE.md | 12 ++++++++---- 1 file changed, 8 insertions(+), 4 deletions(-) diff --git a/superclaw/superclaw-ctl/USER-GUIDE.md b/superclaw/superclaw-ctl/USER-GUIDE.md index 6787606c..ede00884 100644 --- a/superclaw/superclaw-ctl/USER-GUIDE.md +++ b/superclaw/superclaw-ctl/USER-GUIDE.md @@ -18,10 +18,14 @@ Make sure the model-serving workstation has: | Requirement | Notes | |-------------|-------| <<<<<<< HEAD +<<<<<<< HEAD | Ubuntu Linux x86_64 | Must run on the server host | ======= | Linux x86_64 | Must run on the server host | >>>>>>> cf521d5 (update ctl user guide) +======= +| Ubuntu Linux x86_64 | Must run on the server host | +>>>>>>> 8b8df34 (Minor updates to superclaw-ctl user guide) | Docker Engine with Compose plugin | `docker compose` must work | | Intel GPU | Tested on Intel® Arc B70 Pro | | Internet access | Required on first setup to pull images and download models | @@ -78,11 +82,15 @@ Config saved to /root/.config/superclaw-ctl Copy and save the full `vllm_api_key`. This is the **connection key** for the SuperClaw Client App. +<<<<<<< HEAD <<<<<<< HEAD If you miss it, you can reveal it again later: ======= If you miss it, reveal it again later: >>>>>>> cf521d5 (update ctl user guide) +======= +If you miss it, you can reveal it again later: +>>>>>>> 8b8df34 (Minor updates to superclaw-ctl user guide) ```bash superclaw-ctl keys show --reveal @@ -192,11 +200,7 @@ superclaw-ctl models download --verify superclaw-ctl models list superclaw-ctl models info Qwen3-Coder-Next superclaw-ctl models download -<<<<<<< HEAD superclaw-ctl models download --model qwen3-coder-next -======= -superclaw-ctl models download --model Qwen3-Coder-Next ->>>>>>> cf521d5 (update ctl user guide) superclaw-ctl models download --verify ``` From 8e01f4765bf157556a07167cd8383de8ca57ba6a Mon Sep 17 00:00:00 2001 From: "Seow, Wen Jie" Date: Tue, 16 Jun 2026 17:03:43 +0800 Subject: [PATCH 3/5] Initial commit for public `superclaw-ctl` --- superclaw-ctl/README.md | 199 ++++ superclaw-ctl/packaging/build.sh | 67 ++ superclaw-ctl/packaging/pyinstaller/entry.py | 11 + .../packaging/pyinstaller/superclaw-ctl.spec | 100 ++ superclaw-ctl/pyproject.toml | 42 + superclaw-ctl/src/superclaw_ctl/__init__.py | 3 + superclaw-ctl/src/superclaw_ctl/__main__.py | 6 + superclaw-ctl/src/superclaw_ctl/checks.py | 144 +++ superclaw-ctl/src/superclaw_ctl/cli.py | 945 ++++++++++++++++++ superclaw-ctl/src/superclaw_ctl/compose.py | 156 +++ superclaw-ctl/src/superclaw_ctl/config.py | 268 +++++ superclaw-ctl/src/superclaw_ctl/display.py | 200 ++++ superclaw-ctl/src/superclaw_ctl/docker.py | 194 ++++ superclaw-ctl/src/superclaw_ctl/download.py | 335 +++++++ superclaw-ctl/src/superclaw_ctl/errors.py | 80 ++ superclaw-ctl/src/superclaw_ctl/gpu.py | 149 +++ superclaw-ctl/src/superclaw_ctl/health.py | 92 ++ superclaw-ctl/src/superclaw_ctl/models.py | 167 ++++ superclaw-ctl/src/superclaw_ctl/registry.py | 79 ++ superclaw-ctl/src/superclaw_ctl/secrets.py | 51 + .../src/superclaw_ctl/templates/__init__.py | 0 .../templates/docker-compose.vllm.yml | 168 ++++ .../src/superclaw_ctl/vllm_models.json | 35 + superclaw-ctl/uv.lock | 931 +++++++++++++++++ 24 files changed, 4422 insertions(+) create mode 100644 superclaw-ctl/README.md create mode 100644 superclaw-ctl/packaging/build.sh create mode 100644 superclaw-ctl/packaging/pyinstaller/entry.py create mode 100644 superclaw-ctl/packaging/pyinstaller/superclaw-ctl.spec create mode 100644 superclaw-ctl/pyproject.toml create mode 100644 superclaw-ctl/src/superclaw_ctl/__init__.py create mode 100644 superclaw-ctl/src/superclaw_ctl/__main__.py create mode 100644 superclaw-ctl/src/superclaw_ctl/checks.py create mode 100644 superclaw-ctl/src/superclaw_ctl/cli.py create mode 100644 superclaw-ctl/src/superclaw_ctl/compose.py create mode 100644 superclaw-ctl/src/superclaw_ctl/config.py create mode 100644 superclaw-ctl/src/superclaw_ctl/display.py create mode 100644 superclaw-ctl/src/superclaw_ctl/docker.py create mode 100644 superclaw-ctl/src/superclaw_ctl/download.py create mode 100644 superclaw-ctl/src/superclaw_ctl/errors.py create mode 100644 superclaw-ctl/src/superclaw_ctl/gpu.py create mode 100644 superclaw-ctl/src/superclaw_ctl/health.py create mode 100644 superclaw-ctl/src/superclaw_ctl/models.py create mode 100644 superclaw-ctl/src/superclaw_ctl/registry.py create mode 100644 superclaw-ctl/src/superclaw_ctl/secrets.py create mode 100644 superclaw-ctl/src/superclaw_ctl/templates/__init__.py create mode 100644 superclaw-ctl/src/superclaw_ctl/templates/docker-compose.vllm.yml create mode 100644 superclaw-ctl/src/superclaw_ctl/vllm_models.json create mode 100644 superclaw-ctl/uv.lock diff --git a/superclaw-ctl/README.md b/superclaw-ctl/README.md new file mode 100644 index 00000000..92af73a3 --- /dev/null +++ b/superclaw-ctl/README.md @@ -0,0 +1,199 @@ +# superclaw-ctl + +CLI tool for managing SuperClaw vLLM model serving on Linux servers with Intel Arc GPUs. + +## Prerequisites + +- Python 3.11+ with [`uv`](https://docs.astral.sh/uv/) +- Docker >= 24.0 +- Docker Compose >= 2.24 +- Intel Arc GPUs with `/dev/dri` access (for vLLM) +- Model weights at `~/.models/` (configurable via `superclaw-ctl config set paths.models_dir `) + +## Install + +```bash +# From the repo (development) +cd tools/superclaw-ctl +uv sync --extra dev + +# Run directly +uv run superclaw-ctl --help +``` + +## Quick Start + +```bash +# 1. Initialize — checks environment, detects GPUs, downloads models, generates API keys +superclaw-ctl init + +# 2. Start containers (override router port with --router-port if needed) +superclaw-ctl up + +# 3. Check health +superclaw-ctl status + +# 4. View logs +superclaw-ctl logs -f + +# 5. Stop containers +superclaw-ctl down +``` + +After `superclaw-ctl up` succeeds, vllm-router is available on the configured +router port (default `8080`): + +``` +╭──────────────────────────── Connection ─────────────────────────────╮ +│ URL: http://10.107.234.27:8080 │ +│ vLLM Chat: 10.107.234.27:18103 │ +│ vLLM Embed: 10.107.234.27:18104 │ +│ vLLM Model Router: 10.107.234.27:8080 │ +│ Token: eJUs... │ +╰─────────────────────────────────────────────────────────────────────╯ +``` + +Use the **URL** (`/v1/chat/completions` and `/v1/embeddings`) in any OpenAI-compatible client. +If you start with a non-default port (for example `superclaw-ctl up --router-port 9090`), +use the same `--router-port` value when running `superclaw-ctl status`. + +The router runs in IGW mode and registers the chat and embedding workers with +their model IDs so requests land on the right backend. + +### Verify the model service with curl + +```bash +# Get the token (unredacted) +TOKEN=$(uv run superclaw-ctl keys show --reveal | grep vllm_api_key | awk '{print $NF}') +ROUTER_PORT=8080 + +# List models via model service (proxied to :18103) +curl -s -H "Authorization: Bearer $TOKEN" \ + http://127.0.0.1:$ROUTER_PORT/v1/models | jq . + +# Chat completion via model service +curl -s -H "Authorization: Bearer $TOKEN" \ + -H "Content-Type: application/json" \ + -d '{"model":"Qwen3-Coder-Next","messages":[{"role":"user","content":"Say hi in one short sentence."}]}' \ + http://127.0.0.1:$ROUTER_PORT/v1/chat/completions | jq . + +# Embeddings via model service (proxied to :18104) +curl -s -H "Authorization: Bearer $TOKEN" \ + -H "Content-Type: application/json" \ + -d '{"model":"KaLM-embedding-v2.5","input":"SuperClaw model service check"}' \ + http://127.0.0.1:$ROUTER_PORT/v1/embeddings | jq . +``` + +## Commands + +| Command | Description | +|---|---| +| `init` | Check environment, detect GPUs, download models, generate keys, save config | +| `up [--router-port PORT] [--timeout SECONDS]` | Start vLLM container (with vllm-router), wait for backend+router readiness | +| `down` | Stop and remove containers | +| `restart [service]` | Restart vllm | +| `status [--router-port PORT]` | Show container states, health checks, and endpoints | +| `logs [service] [-f] [--tail N]` | Show/follow container logs (default tail: 200 lines) | +| `pull` | Pull vLLM image | +| `models list` | List models in models directory with metadata | +| `models info ` | Show detailed model info | +| `doctor` | Run diagnostics without changing state | +| `config show` | Show effective config (secrets redacted) | +| `config set ` | Update a config value | +| `keys show [--reveal]` | Show stored API keys | +| `keys rotate` | Generate new API keys | +| `clean containers` | Remove containers | +| `clean images` | Remove docker images | +| `clean volumes` | Remove docker volumes | +| `clean config` | Remove config directory | +| `clean all [--dry-run]` | Remove everything | +| `version` | Show CLI, Docker, and Compose versions | + +## Configuration + +Config is stored at `~/.config/superclaw-ctl/`: + +| File | Purpose | Permissions | +|------|---------|-------------| +| `config.toml` | Non-secret settings (mode, image refs, paths) | 0644 | +| `secrets.toml` | vLLM API key | 0600 | + +### Environment Variable Overrides + +| Variable | Overrides | +|---|---| +| `SUPERCLAW_VLLM_API_KEY` | secrets.vllm_api_key | +| `SUPERCLAW_MODELS_DIR` | config.paths.models_dir | +| `SUPERCLAW_ALLOW_DEMO_KEY` | When truthy (`1`/`true`/`yes`/`on`), allows known demo/weak tokens (e.g. `intel123`). Empty keys are still rejected. Intended for local testing only. | + +### Proxy Support + +`superclaw-ctl up` passes `HTTP_PROXY`/`HTTPS_PROXY` (or lowercase `http_proxy`/`https_proxy`) to the Docker Compose environment. Set these on the host if the vLLM container needs outbound internet access. + +Model downloads during `init` also respect `HTTP_PROXY`/`HTTPS_PROXY` and `HF_ENDPOINT` (for HuggingFace mirror sites). + +By default, vLLM logs are written under `~/.config/superclaw-ctl/logs/` alongside the rest of the CLI state. Override `config.paths.logs_dir` if you want them elsewhere. + +`superclaw-ctl up --timeout` controls both the CLI readiness probes and the in-container +backend wait budget (`VLLM_BACKEND_READY_TIMEOUT_SECONDS`), so one value keeps startup +timeouts aligned. + +## Compose File Location + +`superclaw-ctl` always uses compose files from `~/.config/superclaw-ctl/compose/` (the directory written by `superclaw-ctl init`). The path can be changed via `config.paths.compose_dir` in `config.toml`. + +### Compose overrides (`config.compose.extra_files`) + +Use `config.compose.extra_files` to add extra Compose `-f` files (for local overrides/patches) on top of `docker-compose.vllm.yml`. + +```bash +# Set as JSON because this key is a list +uv run superclaw-ctl config set compose.extra_files '["compose.override.yml","/opt/superclaw/custom.yml"]' +``` + +- Relative paths are resolved from `config.paths.compose_dir`. +- Absolute paths are used as-is. +- To clear overrides: + +```bash +uv run superclaw-ctl config set compose.extra_files '[]' +``` + +> **Note:** `superclaw-ctl` targets vLLM-only serving and does not manage an application container. + +## Testing + +```bash +# Unit tests (works on Windows/macOS, no Docker needed) +cd tools/superclaw-ctl +uv run pytest tests/ -v + +# With coverage +uv run pytest tests/ --cov=superclaw_ctl --cov-report=term-missing +``` + +## Manual Smoke Test (on Linux server) + +```bash +cd tools/superclaw-ctl +uv sync --extra dev + +uv run superclaw-ctl init +uv run superclaw-ctl doctor +uv run superclaw-ctl up +uv run superclaw-ctl status +uv run superclaw-ctl models list +uv run superclaw-ctl keys show +uv run superclaw-ctl logs --tail 5 +uv run superclaw-ctl restart vllm +uv run superclaw-ctl version +uv run superclaw-ctl down +``` + +## Troubleshooting + +| Symptom | Cause | Fix | +|---------|-------|-----| +| `up` hangs for 5+ min | vLLM model loading is slow on first start | Wait — subsequent starts use cached weights | +| 401 on model service endpoints | Missing or wrong bearer token | Use the token from `superclaw-ctl keys show --reveal` | +| `status` shows router unhealthy | vLLM container still starting or router failed to initialize | Wait a moment and retry; check `superclaw-ctl logs` | diff --git a/superclaw-ctl/packaging/build.sh b/superclaw-ctl/packaging/build.sh new file mode 100644 index 00000000..40595828 --- /dev/null +++ b/superclaw-ctl/packaging/build.sh @@ -0,0 +1,67 @@ +#!/usr/bin/env bash +# build.sh — Build the superclaw-ctl single-file Linux binary with PyInstaller. +# +# Prerequisites on the build host: +# - Python 3.11+ +# - uv (https://docs.astral.sh/uv/) +# - binutils (for --strip; usually pre-installed: `sudo apt install binutils`) +# +# The produced binary is tied to the glibc of this build machine. +# Target machines must run the same or a newer glibc version (distro). + +set -euo pipefail + +# Ensure ~/.local/bin is on PATH (uv install default location) +export PATH="${HOME}/.local/bin:${PATH}" + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +TOOL_DIR="$(cd "${SCRIPT_DIR}/.." && pwd)" # tools/superclaw-ctl/ +SPEC="${SCRIPT_DIR}/pyinstaller/superclaw-ctl.spec" +DIST_DIR="${TOOL_DIR}/dist" + +# ── Guards ────────────────────────────────────────────────────────────────── +if [[ "$(uname -s)" != "Linux" ]]; then + echo "ERROR: This build script must run on Linux (PyInstaller cannot cross-compile)." >&2 + echo " Please run this build script on a Linux machine." >&2 + exit 1 +fi + +if ! command -v uv &>/dev/null; then + echo "ERROR: 'uv' not found. Install it from https://docs.astral.sh/uv/" >&2 + exit 1 +fi + +if ! command -v strip &>/dev/null; then + echo "WARNING: 'strip' (binutils) not found — binary will not be stripped." >&2 + echo " Install with: sudo apt install binutils" >&2 +fi + +# ── Install deps (runtime + build group) ──────────────────────────────────── +echo "==> Syncing dependencies (runtime + build)..." +cd "${TOOL_DIR}" +uv sync --extra build + +# ── Run PyInstaller ────────────────────────────────────────────────────────── +echo "==> Running PyInstaller..." +uv run pyinstaller "${SPEC}" \ + --distpath "${DIST_DIR}" \ + --workpath "${TOOL_DIR}/build/.pyinstaller-work" \ + --noconfirm + +BINARY="${DIST_DIR}/superclaw-ctl" + +if [[ ! -f "${BINARY}" ]]; then + echo "ERROR: Build failed — ${BINARY} not found." >&2 + exit 1 +fi + +# ── Report ─────────────────────────────────────────────────────────────────── +SIZE=$(du -sh "${BINARY}" | cut -f1) +echo "" +echo "==> Build complete!" +echo " Binary : ${BINARY}" +echo " Size : ${SIZE}" +echo "" +echo "Quick smoke test:" +echo " ${BINARY} --help" +echo " ${BINARY} version" diff --git a/superclaw-ctl/packaging/pyinstaller/entry.py b/superclaw-ctl/packaging/pyinstaller/entry.py new file mode 100644 index 00000000..390115b5 --- /dev/null +++ b/superclaw-ctl/packaging/pyinstaller/entry.py @@ -0,0 +1,11 @@ +"""PyInstaller entry point for superclaw-ctl. + +Mirrors src/superclaw_ctl/__main__.py but lives outside the package +so PyInstaller can use it as the top-level script without packaging +the module twice. +""" + +from superclaw_ctl.cli import app + +if __name__ == "__main__": + app() diff --git a/superclaw-ctl/packaging/pyinstaller/superclaw-ctl.spec b/superclaw-ctl/packaging/pyinstaller/superclaw-ctl.spec new file mode 100644 index 00000000..8e3f418e --- /dev/null +++ b/superclaw-ctl/packaging/pyinstaller/superclaw-ctl.spec @@ -0,0 +1,100 @@ +# -*- mode: python ; coding: utf-8 -*- +# PyInstaller spec for superclaw-ctl — single onefile Linux x86_64 binary. +# +# Build (on the Linux server): +# cd tools/superclaw-ctl +# uv sync --extra build +# uv run pyinstaller packaging/pyinstaller/superclaw-ctl.spec +# +# Output: dist/superclaw-ctl + +import sys +from pathlib import Path + +# --------------------------------------------------------------------------- +# Locate the package so we can reference bundled data files +# --------------------------------------------------------------------------- +HERE = Path(SPECPATH) # directory of this spec file +SRC = HERE.parent.parent / "src" # tools/superclaw-ctl/src + +a = Analysis( + [str(HERE / "entry.py")], + pathex=[str(SRC)], + binaries=[], + datas=[ + # vllm_models.json — loaded via importlib.resources in registry.py + (str(SRC / "superclaw_ctl" / "vllm_models.json"), "superclaw_ctl"), + # compose templates — loaded via importlib.resources in cli.py _extract_templates + (str(SRC / "superclaw_ctl" / "templates"), "superclaw_ctl/templates"), + ], + hiddenimports=[ + # httpx default transport (used by health probes) + "httpx._transports.default", + # huggingface_hub: file download & auth sub-modules loaded at runtime + "huggingface_hub.file_download", + "huggingface_hub.hf_api", + # pydantic v2 core — often missed + "pydantic.deprecated.class_validators", + "pydantic_core", + ], + collect_submodules=[ + "huggingface_hub", + ], + collect_data=[], + excludes=[ + # GUI / display toolkits never used + "tkinter", + "_tkinter", + "turtle", + "turtledemo", + # Test frameworks — not needed at runtime + "pytest", + "unittest", + # Heavy stdlib modules not used by this CLI + "xmlrpc", + "xml.etree", + "lib2to3", + "pydoc", + "doctest", + # Unused IPython / notebook ecosystem (may be pulled in by hf-hub) + "IPython", + "ipykernel", + "jupyter", + "notebook", + "matplotlib", + "numpy", + "pandas", + "scipy", + "PIL", + # Unused crypto libs (not in our dep tree, but may appear via transitive) + "Crypto", + "cryptography", + "OpenSSL", + ], + noarchive=False, + optimize=0, # must NOT strip docstrings — Typer uses __doc__ for command help text +) + +pyz = PYZ(a.pure) + +exe = EXE( + pyz, + a.scripts, + a.binaries, + a.datas, + [], + name="superclaw-ctl", + debug=False, + bootloader_ignore_signals=False, + strip=True, # strip debug symbols from the native binary + upx=False, # no UPX compression (avoids AV false positives) + upx_exclude=[], + runtime_tmpdir=None, + console=True, + disable_windowed_traceback=False, + argv_emulation=False, + target_arch=None, + codesign_identity=None, + entitlements_file=None, + onefile=True, +) diff --git a/superclaw-ctl/pyproject.toml b/superclaw-ctl/pyproject.toml new file mode 100644 index 00000000..5e16bc18 --- /dev/null +++ b/superclaw-ctl/pyproject.toml @@ -0,0 +1,42 @@ +[project] +name = "superclaw-ctl" +version = "0.1.0" +description = "CLI tool for managing SuperClaw vLLM model serving" +readme = "README.md" +requires-python = ">=3.11" +license = { text = "MIT" } +dependencies = [ + "typer>=0.12,<1.0", + "rich>=13.0,<14.0", + "pydantic>=2.0,<3.0", + "tomli-w>=1.0,<2.0", + "httpx>=0.27,<1.0", + "huggingface-hub>=0.23,<1.0", +] + +[project.scripts] +superclaw-ctl = "superclaw_ctl.cli:app" + +[project.optional-dependencies] +dev = [ + "pytest>=8.0", + "pytest-cov>=5.0", + "pytest-mock>=3.14", +] +build = [ + "pyinstaller>=6.0,<7.0", +] + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["src/superclaw_ctl"] + +[tool.pytest.ini_options] +testpaths = ["tests"] +pythonpath = ["src"] + +[tool.uv] +exclude-newer = "7 days" diff --git a/superclaw-ctl/src/superclaw_ctl/__init__.py b/superclaw-ctl/src/superclaw_ctl/__init__.py new file mode 100644 index 00000000..300c39b9 --- /dev/null +++ b/superclaw-ctl/src/superclaw_ctl/__init__.py @@ -0,0 +1,3 @@ +"""superclaw-ctl — CLI for managing SuperClaw vLLM model serving.""" + +__version__ = "0.1.0" diff --git a/superclaw-ctl/src/superclaw_ctl/__main__.py b/superclaw-ctl/src/superclaw_ctl/__main__.py new file mode 100644 index 00000000..21ee47ad --- /dev/null +++ b/superclaw-ctl/src/superclaw_ctl/__main__.py @@ -0,0 +1,6 @@ +"""Allow running as `python -m superclaw_ctl`.""" + +from superclaw_ctl.cli import app + +if __name__ == "__main__": + app() diff --git a/superclaw-ctl/src/superclaw_ctl/checks.py b/superclaw-ctl/src/superclaw_ctl/checks.py new file mode 100644 index 00000000..1b8f206b --- /dev/null +++ b/superclaw-ctl/src/superclaw_ctl/checks.py @@ -0,0 +1,144 @@ +from __future__ import annotations + +"""Prerequisite environment checks for superclaw-ctl.""" + +from dataclasses import dataclass +from collections.abc import Sequence +from typing import Any, Literal, Protocol +import re +import socket + +try: + from .docker import DockerAdapter +except ImportError: # pragma: no cover - docker.py may land later. + class DockerAdapter(Protocol): + def run(self, argv: Sequence[str], *, timeout: float | None = None) -> Any: ... + +from .gpu import GPUInfo + +_ARC_B70_PCI_ID = "E223" # Intel® Arc™ Pro B70 Graphics (PCIe ID = 8086:E223) +_MIN_B70_COUNT = 4 # Minimum GPUs required (matches tensor_parallel_size in vllm_models.json) + + +@dataclass(slots=True) +class CheckResult: + """Result of a single prerequisite check.""" + + name: str + status: Literal["pass", "warn", "fail"] + message: str + hint: str = "" + + +def _version_tuple(text: str) -> tuple[int, ...]: + match = re.search(r"(\d+(?:\.\d+)+)", text) + return tuple(int(part) for part in match.group(1).split(".")) if match else () + + +def _run_text(adapter: DockerAdapter, argv: list[str]) -> tuple[bool, str]: + try: + result = adapter.run(argv) + except Exception as exc: + return False, str(exc) + code = getattr(result, "returncode", 0) + stdout = getattr(result, "stdout", result) + stderr = getattr(result, "stderr", "") + text = "\n".join(part for part in (str(stdout).strip(), str(stderr).strip()) if part).strip() + return code == 0, text + + +def _config_get(config: Any, dotted: str, default: Any = None) -> Any: + value = config + for part in dotted.split("."): + if isinstance(value, dict): + value = value.get(part, default) + else: + value = getattr(value, part, default) + if value is default: + break + return value + + +_REQUIRED_INTERNAL_SERVICE_PORTS = (18103, 18104) + + +def check_docker(adapter: DockerAdapter) -> CheckResult: + """Check Docker is installed and running, version >= 24.0.""" + ok, text = _run_text(adapter, ["docker", "--version"]) + if not ok: + return CheckResult("docker", "fail", "Docker is unavailable.", "Install Docker Engine/Desktop and start the daemon.") + version = _version_tuple(text) + if version < (24, 0): + return CheckResult("docker", "fail", f"Docker {text} is too old.", "Upgrade Docker to 24.0 or newer.") + return CheckResult("docker", "pass", f"Docker available ({text}).") + + +def check_compose(adapter: DockerAdapter) -> CheckResult: + """Check Docker Compose v2 is available, version >= 2.24.""" + ok, text = _run_text(adapter, ["docker", "compose", "version"]) + if not ok: + return CheckResult("compose", "fail", "Docker Compose v2 is unavailable.", "Install or enable the docker compose plugin.") + version = _version_tuple(text) + if version < (2, 24): + return CheckResult("compose", "fail", f"Compose {text} is too old.", "Upgrade Docker Compose to 2.24 or newer.") + return CheckResult("compose", "pass", f"Compose available ({text}).") + + +def check_image_available(adapter: DockerAdapter, image: str) -> CheckResult: + """Check if a Docker image exists locally.""" + ok, _ = _run_text(adapter, ["docker", "image", "inspect", image]) + if ok: + return CheckResult(f"image:{image}", "pass", f"Image {image} is present locally.") + return CheckResult(f"image:{image}", "warn", f"Image {image} is not present locally.", "Run superclaw-ctl pull or docker pull before starting services.") + + +def check_registry_auth(adapter: DockerAdapter, image: str) -> CheckResult: + """Check if we can pull from the registry (docker manifest inspect).""" + ok, text = _run_text(adapter, ["docker", "manifest", "inspect", image]) + if ok: + return CheckResult(f"registry:{image}", "pass", f"Registry access verified for {image}.") + if any(token in text.lower() for token in ("unauthorized", "denied", "forbidden", "authentication")): + return CheckResult(f"registry:{image}", "fail", f"Registry authentication failed for {image}.", "Run docker login for the image registry.") + return CheckResult(f"registry:{image}", "warn", f"Could not verify registry access for {image}.", text) + + +def check_ports_free(ports: list[int]) -> CheckResult: + """Check if required ports are available.""" + busy: list[int] = [] + for port in ports: + with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock: + try: + sock.bind(("127.0.0.1", port)) + except OSError: + busy.append(port) + if busy: + joined = ", ".join(str(port) for port in busy) + return CheckResult("ports", "fail", f"Required ports are already in use: {joined}.", "Stop the conflicting service or reconfigure the ports.") + return CheckResult("ports", "pass", "Required ports are free.") + + +def check_gpu_minimum_requirements(gpus: list[GPUInfo]) -> CheckResult: + """Check that at least 4 Intel Arc Pro B70 GPUs are present (identified by PCI device ID E223).""" + qualifying = [g for g in gpus if g.pci_id.upper() == _ARC_B70_PCI_ID] + count = len(qualifying) + if count < _MIN_B70_COUNT: + return CheckResult( + "gpu_minimum", + "fail", + f"Minimum GPU requirement not met: {count} Intel Arc Pro B70 found, need {_MIN_B70_COUNT}.", + f"Install at least {_MIN_B70_COUNT} Intel® Arc™ Pro B70 Graphics cards (PCI ID 8086:E223).", + ) + return CheckResult("gpu_minimum", "pass", f"GPU minimum met: {count}x Intel Arc Pro B70 found.") + + +def run_all_checks(adapter: DockerAdapter, config: Any, *, router_port: int = 8080) -> list[CheckResult]: + """Run all prerequisite checks and return results.""" + images = [ + _config_get(config, "images.vllm"), + ] + ports = [*_REQUIRED_INTERNAL_SERVICE_PORTS, int(router_port)] + results = [check_docker(adapter), check_compose(adapter), check_ports_free(ports)] + for image in (image for image in images if image): + results.append(check_image_available(adapter, image)) + results.append(check_registry_auth(adapter, image)) + return results diff --git a/superclaw-ctl/src/superclaw_ctl/cli.py b/superclaw-ctl/src/superclaw_ctl/cli.py new file mode 100644 index 00000000..f6d9b8da --- /dev/null +++ b/superclaw-ctl/src/superclaw_ctl/cli.py @@ -0,0 +1,945 @@ +"""CLI entry point — thin Typer callbacks delegating to domain modules.""" + +from __future__ import annotations + +import json +import os +import socket +from pathlib import Path +from typing import Annotated, Optional + +import typer +from rich.panel import Panel + +from superclaw_ctl import __version__ +from superclaw_ctl.config import ( + Config, + Secrets, + config_exists, + get_config_dir, + load_config, + load_secrets, + save_config, + save_secrets, + secrets_exists, + validate_secrets, +) +from superclaw_ctl.display import ( + console, + print_check_results, + print_config, + print_connection_info, + print_error, + print_gpu_info, + print_keys, + print_model_detail, + print_models_table, + print_status_table, + print_success, + print_warning, +) +from superclaw_ctl.errors import SuperclawCtlError + +app = typer.Typer( + name="superclaw-ctl", + help="Manage SuperClaw vLLM containers and model service.", + no_args_is_help=True, + rich_markup_mode="rich", + add_completion=False, +) +models_app = typer.Typer(help="Model management commands.", no_args_is_help=True) +keys_app = typer.Typer(help="API key management.", no_args_is_help=True) +config_app = typer.Typer(help="Configuration management.", no_args_is_help=True) +clean_app = typer.Typer(help="Cleanup commands.", no_args_is_help=True) + +app.add_typer(models_app, name="models") +app.add_typer(keys_app, name="keys") +app.add_typer(config_app, name="config") +app.add_typer(clean_app, name="clean") + +Verbose = Annotated[bool, typer.Option("--verbose", "-v", help="Enable debug logging.")] + +_LOCAL_NO_PROXY_TARGETS = ("localhost", "127.0.0.1") + + +def _handle_error(exc: SuperclawCtlError) -> None: + print_error(exc.message, hint=exc.hint or "") + raise typer.Exit(code=exc.exit_code) + + +def _get_adapter(config: Config | None = None, secrets: Secrets | None = None): + from superclaw_ctl.docker import DockerAdapter + + redact = [] + if secrets: + redact = [secrets.vllm_api_key] + return DockerAdapter(secrets_to_redact=redact) + + +def _compose_env( + config: Config, + secrets: Secrets, + *, + backend_ready_timeout_seconds: int | None = None, + router_port: int | None = None, +) -> dict[str, str]: + env = { + "VLLM_API_KEY": secrets.vllm_api_key, + "VLLM_IMAGE": config.images.vllm, + "LOCAL_MODELS_DIR": str(Path(config.paths.models_dir).expanduser()), + "LOCAL_LOGS_DIR": str(Path(config.paths.logs_dir).expanduser()), + "HTTP_PROXY": "", + "HTTPS_PROXY": "", + "NO_PROXY": "", + } + if backend_ready_timeout_seconds is not None: + env["VLLM_BACKEND_READY_TIMEOUT_SECONDS"] = str(backend_ready_timeout_seconds) + if router_port is not None: + env["ROUTER_PORT"] = str(router_port) + return env + + +def _get_compose_project( + config: Config, + secrets: Secrets, + *, + backend_ready_timeout_seconds: int | None = None, + router_port: int | None = None, +): + from superclaw_ctl.compose import ComposeProject + + adapter = _get_adapter(config, secrets) + compose_files = _resolve_compose_files(config) + http_proxy, https_proxy, no_proxy = _read_proxy_env() + env = _compose_env( + config, + secrets, + backend_ready_timeout_seconds=backend_ready_timeout_seconds, + router_port=router_port, + ) + env["HTTP_PROXY"] = http_proxy + env["HTTPS_PROXY"] = https_proxy + env["NO_PROXY"] = no_proxy + return ComposeProject(adapter, compose_files, project_name=config.compose.project_name, env=env) + + +def _read_proxy_env() -> tuple[str, str, str]: + """Resolve proxy env vars using uppercase first, then lowercase.""" + http_proxy = os.environ.get("HTTP_PROXY") or os.environ.get("http_proxy", "") + https_proxy = os.environ.get("HTTPS_PROXY") or os.environ.get("https_proxy", "") + no_proxy = os.environ.get("NO_PROXY") or os.environ.get("no_proxy", "") + return http_proxy, https_proxy, no_proxy + + +def _missing_local_no_proxy_entries(no_proxy: str) -> list[str]: + entries = {part.strip().lower() for part in no_proxy.split(",") if part.strip()} + return [target for target in _LOCAL_NO_PROXY_TARGETS if target.lower() not in entries] + + +def _warn_if_proxy_missing_local_no_proxy() -> bool: + """Warn if proxy is enabled but localhost bypass is missing.""" + http_proxy, https_proxy, no_proxy = _read_proxy_env() + if not (http_proxy or https_proxy): + return False + + missing = _missing_local_no_proxy_entries(no_proxy) + if not missing: + return False + + missing_csv = ",".join(missing) + current = no_proxy or "" + console.print( + Panel.fit( + "\n".join( + [ + "[bold yellow]Proxy configuration warning[/bold yellow]", + "Detected HTTP(S) proxy without a full local NO_PROXY bypass.", + "Local health checks can fail when localhost traffic is proxied.", + "", + f"Current NO_PROXY: {current}", + f"Add at least: {missing_csv}", + "Suggested: NO_PROXY=$NO_PROXY,localhost,127.0.0.1", + ] + ), + border_style="yellow", + title="Proxy Check", + ) + ) + return True + + +def _resolve_compose_files(config: Config) -> list[Path]: + compose_dir = Path(config.paths.compose_dir).expanduser() + compose_files = [compose_dir / "docker-compose.vllm.yml"] + for extra_file in config.compose.extra_files: + extra_path = Path(extra_file).expanduser() + if not extra_path.is_absolute(): + extra_path = compose_dir / extra_path + compose_files.append(extra_path) + return compose_files + + +def _get_host_ip() -> str: + try: + s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) + s.connect(("8.8.8.8", 80)) + ip = s.getsockname()[0] + s.close() + return ip + except OSError: + return "127.0.0.1" + + +_BANNER = r""" + ▄██▄ + ▄█▓▓▓▓█▄ + ▄█▓▒▒▒▒▒▒▓█▄ │ ____ ____ ___ + █▓▒░░░░░░░░▒▓█ │ / ___| _ _ _ __ ___ _ __ / ___|| | __ _ __ __ + ▀█▓▒▒▒▒▒▒▓█▀ │ \___ \| | | || '_ \ / _ \| '__| | | | | / _` |\ \ /\ / / + ▀█▓▓▓▓█▀ │ ___) | |_| || _) || __/| | | |___ | || (_| | \ V V / + ▀██▀ │ |____/ \__,_|| .__/ \___||_| \____||_| \__,_| \_/\_/ + |_| +""" + + +# ─── init ─────────────────────────────────────────────────────────────────── + +@app.command() +def init( + models_dir: Annotated[str, typer.Option("--models-dir", help="Path to models directory.")] = "~/.models", + skip_models: Annotated[bool, typer.Option("--skip-models", help="Skip model download (offline use).")] = False, + verbose: Verbose = False, +) -> None: + """Initialize superclaw-ctl: check environment, generate keys, download models, save config.""" + from superclaw_ctl.checks import check_compose, check_docker, check_gpu_minimum_requirements + from superclaw_ctl.gpu import check_gpu_access, detect_gpus + from superclaw_ctl.secrets import generate_key + + adapter = _get_adapter() + console.print(_BANNER, markup=False, highlight=False) + + # Check prerequisites + console.print("\n[bold]Checking prerequisites...[/bold]") + docker_check = check_docker(adapter) + compose_check = check_compose(adapter) + print_check_results([docker_check, compose_check]) + + if docker_check.status == "fail": + print_error(docker_check.message, hint=docker_check.hint) + raise typer.Exit(1) + if compose_check.status == "fail": + print_error(compose_check.message, hint=compose_check.hint) + raise typer.Exit(1) + + # GPU detection + minimum requirement check (hard fail before any network I/O) + console.print("\n[bold]Detecting GPUs...[/bold]") + gpus = detect_gpus() + warnings = check_gpu_access() + if gpus: + print_gpu_info([{"name": g.name, "driver": g.driver_version, "status": f"{g.tiles} tiles"} for g in gpus]) + else: + print_warning("No GPUs detected. vLLM may not work without GPU access.") + for w in warnings: + print_warning(w) + + gpu_min_check = check_gpu_minimum_requirements(gpus) + print_check_results([gpu_min_check]) + if gpu_min_check.status == "fail": + print_error(gpu_min_check.message, hint=gpu_min_check.hint) + raise typer.Exit(1) + + # Pull image + console.print(f"\n[bold]Pulling vLLM image...[/bold]") + config = Config() + try: + adapter.passthrough(["pull", config.images.vllm]) + except SuperclawCtlError as exc: + print_warning(f"Image pull failed: {exc.message}") + print_warning("You can retry later with `superclaw-ctl pull`.") + + # Download models + if not skip_models: + console.print("\n[bold]Downloading models...[/bold]") + from superclaw_ctl.download import download_model + from superclaw_ctl.registry import load_registry + + registry = load_registry() + models_path = Path(models_dir).expanduser() + models_path.mkdir(parents=True, exist_ok=True) + + for entry in registry.get_active_models(): + result = download_model( + entry, + models_path, + on_progress=lambda msg: console.print(f" [dim]{msg}[/dim]"), + ) + if result.error: + if result.already_present: + print_warning(f"Model verification warning ({entry.name}): {result.error}") + print_warning( + "Local files are present but remote verification failed. " + "Check connectivity/proxy settings and re-run init later." + ) + else: + print_warning(f"Model download failed ({entry.name}): {result.error}") + print_warning("You can retry later or download manually.") + elif result.already_present: + print_success(f"{entry.name}: verified ✓") + else: + print_success(f"{entry.name}: downloaded to {result.local_dir}") + else: + console.print("\n[dim]Skipping model download (--skip-models).[/dim]") + + # Generate keys + console.print("\n[bold]Generating API keys...[/bold]") + secrets = Secrets( + vllm_api_key=generate_key(), + ) + console.print("[green]Keys generated.[/green] They will be shown once below:") + print_keys(secrets, reveal=True) + + # Build config and extract bundled compose templates + config = Config( + paths=config.paths.model_copy(update={"models_dir": models_dir}), + ) + _extract_templates(config) + + # Save + save_config(config) + save_secrets(secrets) + print_success(f"Config saved to {get_config_dir()}") + + # Run doctor + console.print("\n[bold]Running diagnostics...[/bold]") + _run_doctor_checks(config, secrets, verbose) + + # Next steps (superclaw-ctl up) + print_success("[bold green]Initialization complete![/bold green]") + console.print(Panel.fit("\n".join([ + "Run [cyan]superclaw-ctl up[/cyan] to start containers and services.", + "Run [cyan]superclaw-ctl --help[/cyan] for more commands and options.", + ]), title="Next Steps", border_style="green")) + + +def _extract_templates(config: Config) -> None: + """Copy bundled compose templates to compose_dir.""" + import importlib.resources + + compose_dir = Path(config.paths.compose_dir).expanduser() + compose_dir.mkdir(parents=True, exist_ok=True) + + templates_pkg = importlib.resources.files("superclaw_ctl.templates") + for template_name in ["docker-compose.vllm.yml"]: + resource = templates_pkg.joinpath(template_name) + content = resource.read_text(encoding="utf-8") + (compose_dir / template_name).write_text(content, encoding="utf-8") + print_success(f"Compose templates written to {compose_dir}") + + +# ─── up ───────────────────────────────────────────────────────────────────── + +@app.command() +def up( + router_port: Annotated[int, typer.Option(help="Router port exposed inside the vLLM container.")] = 8080, + timeout: Annotated[int, typer.Option(help="Startup/readiness timeout in seconds for CLI probes and in-container backend waits (default 1200).")] = 1200, + verbose: Verbose = False, +) -> None: + """Start vLLM container (with vllm-router), then wait for health.""" + try: + config = load_config() + secrets = load_secrets() + except SuperclawCtlError as exc: + _handle_error(exc) + return + + proxy_bypass_warning = _warn_if_proxy_missing_local_no_proxy() + + project = _get_compose_project( + config, + secrets, + backend_ready_timeout_seconds=timeout, + router_port=router_port, + ) + services = ["vllm"] + + rendered = project.render_config() + # Compare against the expanded path: _compose_env injects the expanded + # LOCAL_MODELS_DIR, so a `~`-prefixed config value would never match the + # rendered compose otherwise. + configured_models_dir = str(Path(config.paths.models_dir).expanduser()) + if configured_models_dir not in rendered: + print_error( + "Compose config did not include the configured models directory.", + hint=( + f"Configured path: {configured_models_dir}\n" + "Run `superclaw-ctl config show` and ensure paths.models_dir is correct for your host." + ), + ) + raise typer.Exit(1) + if verbose: + console.print(f"[dim]Using models directory from config: {configured_models_dir}[/dim]") + + console.print("[bold]Starting containers...[/bold]") + try: + # compose.up() streams output and blocks until depends_on: service_healthy + # is satisfied (which can take ~5 min for vLLM to load its model). + project.up(services=services) + except SuperclawCtlError as exc: + _handle_error(exc) + return + + # Wait for full runtime readiness (chat, embed, and router). + from superclaw_ctl.health import wait_for_healthy + + console.print("[bold]Waiting for model backends to become healthy...[/bold]") + + chat_status = wait_for_healthy( + "http://127.0.0.1:18103/v1/models", + service_name="vLLM chat", + headers={"Authorization": f"Bearer {secrets.vllm_api_key}"}, + timeout=timeout, + on_retry=lambda attempt, elapsed: console.print(f"[dim] Chat: attempt {attempt} ({elapsed:.0f}s elapsed)...[/dim]") if verbose else None, + ) + + embed_status = wait_for_healthy( + "http://127.0.0.1:18104/v1/models", + service_name="vLLM embed", + headers={"Authorization": f"Bearer {secrets.vllm_api_key}"}, + timeout=timeout, + on_retry=lambda attempt, elapsed: console.print(f"[dim] Embed: attempt {attempt} ({elapsed:.0f}s elapsed)...[/dim]") if verbose else None, + ) + + if chat_status.healthy: + print_success(f"vLLM chat healthy ({chat_status.latency_ms:.0f}ms)") + else: + print_warning(f"vLLM chat not ready: {chat_status.error}") + if embed_status.healthy: + print_success(f"vLLM embed healthy ({embed_status.latency_ms:.0f}ms)") + else: + print_warning(f"vLLM embed not ready: {embed_status.error}") + if not chat_status.healthy or not embed_status.healthy: + if proxy_bypass_warning: + print_warning( + "Proxy settings may be blocking local health probes. " + "Ensure NO_PROXY includes localhost and 127.0.0.1." + ) + print_error( + "Model backends did not become healthy before timeout.", + hint="Increase `superclaw-ctl up --timeout` and retry.", + ) + raise typer.Exit(1) + + router_status = wait_for_healthy( + f"http://127.0.0.1:{router_port}/v1/models", + service_name="vLLM router", + headers={"Authorization": f"Bearer {secrets.vllm_api_key}"}, + timeout=timeout, + on_retry=lambda attempt, elapsed: console.print(f"[dim] Router: attempt {attempt} ({elapsed:.0f}s elapsed)...[/dim]") if verbose else None, + ) + if router_status.healthy: + print_success(f"vLLM router healthy ({router_status.latency_ms:.0f}ms)") + else: + print_error( + f"vLLM router not ready: {router_status.error}", + hint=f"Check `superclaw-ctl logs` and verify --router-port {router_port}.", + ) + raise typer.Exit(1) + + # Print connection info + host_ip = _get_host_ip() + ports = { + "vLLM Model Router": router_port, + "vLLM Chat": 18103, + "vLLM Embed": 18104, + } + print_connection_info(host_ip, ports, secrets.vllm_api_key) + if router_port != 8080: + print_warning(f"Use --router-port {router_port} when running `superclaw-ctl status`.") + + +# ─── down ─────────────────────────────────────────────────────────────────── + +@app.command() +def down(verbose: Verbose = False) -> None: + """Stop and remove containers.""" + try: + config = load_config() + secrets = load_secrets() + project = _get_compose_project(config, secrets) + console.print("[bold]Stopping containers...[/bold]") + project.down() + print_success("Containers stopped and removed.") + except SuperclawCtlError as exc: + _handle_error(exc) + + +# ─── restart ──────────────────────────────────────────────────────────────── + +@app.command() +def restart( + service: Annotated[Optional[str], typer.Argument(help="Service to restart (vllm only).")] = None, + verbose: Verbose = False, +) -> None: + """Restart services.""" + try: + config = load_config() + secrets = load_secrets() + project = _get_compose_project(config, secrets) + if service and service != "vllm": + print_error("Unknown service. Valid value: vllm") + raise typer.Exit(1) + services = ["vllm"] + project.restart(services) + print_success("Restarted vllm.") + except SuperclawCtlError as exc: + _handle_error(exc) + + +# ─── status ───────────────────────────────────────────────────────────────── + +@app.command() +def status( + router_port: Annotated[int, typer.Option(help="Router port exposed inside the vLLM container.")] = 8080, + verbose: Verbose = False, +) -> None: + """Show container states, health, and endpoints.""" + try: + config = load_config() + secrets = load_secrets() + project = _get_compose_project(config, secrets) + containers = project.ps() + except SuperclawCtlError as exc: + _handle_error(exc) + return + + if not containers: + other_projects = project.running_project_names() + if other_projects: + console.print( + f"[yellow]No containers found for project {config.compose.project_name}; " + f"other Compose projects are running: {', '.join(other_projects)}.[/yellow]" + ) + else: + console.print("[dim]No containers running.[/dim]") + return + + print_status_table(containers) + + # GPU info + from superclaw_ctl.gpu import detect_gpus, gpu_utilization + + util = gpu_utilization() + if util: + console.print( + f"\n[bold]GPU Utilization:[/bold] (via xpu-smi, note that values may not be accurate)\n" + ) + print_gpu_info(util) + + # Health probes + from superclaw_ctl.health import check_vllm_health, check_router_health + + chat = check_vllm_health(api_key=secrets.vllm_api_key, port=18103) + if chat.healthy: + print_success(f"vLLM chat: healthy ({chat.latency_ms:.0f}ms)") + else: + print_warning(f"vLLM chat: {chat.error or 'unhealthy'}") + + embed = check_vllm_health(api_key=secrets.vllm_api_key, port=18104) + if embed.healthy: + print_success(f"vLLM embed: healthy ({embed.latency_ms:.0f}ms)") + else: + print_warning(f"vLLM embed: {embed.error or 'unhealthy'}") + + router = check_router_health(api_key=secrets.vllm_api_key, port=router_port) + if router.healthy: + print_success(f"Model service router: healthy ({router.latency_ms:.0f}ms)") + else: + print_warning(f"Model service router: {router.error or 'unhealthy'}") + + +# ─── logs ─────────────────────────────────────────────────────────────────── + +@app.command() +def logs( + service: Annotated[Optional[str], typer.Argument(help="Service name (vllm only).")] = None, + follow: Annotated[bool, typer.Option("--follow", "-f", help="Follow log output.")] = False, + tail: Annotated[int, typer.Option("--tail", help="Show the last N log lines before printing.")] = 200, + verbose: Verbose = False, +) -> None: + """Show or follow container logs.""" + try: + config = load_config() + secrets = load_secrets() + project = _get_compose_project(config, secrets) + if service and service != "vllm": + print_error("Unknown service. Valid value: vllm") + raise typer.Exit(1) + result = project.logs("vllm", follow=follow, tail=tail) + if isinstance(result, str): + console.print(result) + else: + for line in result: + console.print(line) + except SuperclawCtlError as exc: + _handle_error(exc) + except KeyboardInterrupt: + pass + + +# ─── pull ─────────────────────────────────────────────────────────────────── + +@app.command() +def pull( + verbose: Verbose = False, +) -> None: + """Pull/update vLLM image.""" + try: + config = load_config() + secrets = load_secrets() + project = _get_compose_project(config, secrets) + console.print("[bold]Pulling images...[/bold]") + project.pull(services=["vllm"]) + print_success("Images pulled successfully.") + except SuperclawCtlError as exc: + _handle_error(exc) + + +# ─── doctor ───────────────────────────────────────────────────────────────── + +@app.command() +def doctor(verbose: Verbose = False) -> None: + """Run diagnostics without changing state.""" + try: + config = load_config() + secrets = load_secrets() + except SuperclawCtlError as exc: + _handle_error(exc) + return + + _run_doctor_checks(config, secrets, verbose) + + +def _run_doctor_checks(config: Config, secrets: Secrets, verbose: bool) -> None: + from superclaw_ctl.checks import check_compose, check_docker, check_image_available + from superclaw_ctl.gpu import check_gpu_access + from superclaw_ctl.models import list_models + + adapter = _get_adapter(config, secrets) + results = [ + check_docker(adapter), + check_compose(adapter), + check_image_available(adapter, config.images.vllm), + ] + + # GPU check + gpu_warnings = check_gpu_access() + if gpu_warnings: + from superclaw_ctl.checks import CheckResult + results.append(CheckResult(name="GPU access", status="warn", message="; ".join(gpu_warnings))) + else: + from superclaw_ctl.checks import CheckResult + results.append(CheckResult(name="GPU access", status="pass", message="GPU devices accessible")) + + # Models dir + from superclaw_ctl.checks import CheckResult + models_path = Path(config.paths.models_dir).expanduser() + if models_path.exists(): + models = list_models(models_path) + results.append(CheckResult( + name="Models directory", + status="pass" if models else "warn", + message=f"{len(models)} model(s) found" if models else "No models found", + )) + else: + results.append(CheckResult(name="Models directory", status="warn", message=f"Not found: {models_path}")) + + # Secrets validation + secret_warnings = validate_secrets(secrets) + if secret_warnings: + results.append(CheckResult(name="Secrets", status="warn", message="; ".join(secret_warnings))) + else: + results.append(CheckResult(name="Secrets", status="pass", message="All tokens valid")) + + print_check_results(results) + + +# ─── models ───────────────────────────────────────────────────────────────── + +@models_app.command("list") +def models_list(verbose: Verbose = False) -> None: + """List available models in the models directory.""" + try: + config = load_config() + except SuperclawCtlError as exc: + _handle_error(exc) + return + + from superclaw_ctl.models import list_models + + models_path = Path(config.paths.models_dir).expanduser() + if not models_path.exists(): + print_error(f"Models directory not found: {models_path}") + raise typer.Exit(1) + + models = list_models(models_path) + if not models: + console.print("[dim]No models found.[/dim]") + return + print_models_table(models) + + +@models_app.command("info") +def models_info( + name: Annotated[str, typer.Argument(help="Model name (subdirectory in models_dir).")], + verbose: Verbose = False, +) -> None: + """Show detailed info for a specific model.""" + try: + config = load_config() + except SuperclawCtlError as exc: + _handle_error(exc) + return + + from superclaw_ctl.models import get_model_info + + info = get_model_info(Path(config.paths.models_dir).expanduser(), name) + if info is None: + print_error(f"Model not found: {name}") + raise typer.Exit(1) + print_model_detail(info) + + +# ─── keys ─────────────────────────────────────────────────────────────────── + +@keys_app.command("show") +def keys_show( + reveal: Annotated[bool, typer.Option("--reveal", help="Show full key values.")] = False, +) -> None: + """Show stored API keys (redacted by default).""" + try: + secrets = load_secrets() + except SuperclawCtlError as exc: + _handle_error(exc) + return + print_keys(secrets, reveal=reveal) + + +@keys_app.command("rotate") +def keys_rotate() -> None: + """Generate new API keys and save them.""" + from superclaw_ctl.secrets import generate_key + + try: + secrets = Secrets( + vllm_api_key=generate_key(), + ) + save_secrets(secrets) + print_success("Keys rotated successfully.") + print_warning("Restart containers with `superclaw-ctl down && superclaw-ctl up` to apply new keys.") + print_keys(secrets, reveal=True) + except SuperclawCtlError as exc: + _handle_error(exc) + + +# ─── config ───────────────────────────────────────────────────────────────── + +@config_app.command("show") +def config_show() -> None: + """Show effective configuration (secrets redacted).""" + try: + config = load_config() + secrets = load_secrets() if secrets_exists() else Secrets() + except SuperclawCtlError as exc: + _handle_error(exc) + return + print_config(config, secrets) + + +@config_app.command("set") +def config_set( + key: Annotated[str, typer.Argument(help="Config key in dot notation (e.g., 'paths.models_dir').")], + value: Annotated[str, typer.Argument(help="New value.")], +) -> None: + """Update a config value.""" + try: + config = load_config() + except SuperclawCtlError as exc: + _handle_error(exc) + return + + parts = key.split(".") + data = config.model_dump() + target = data + for part in parts[:-1]: + if part not in target or not isinstance(target[part], dict): + print_error(f"Invalid config key: {key}") + raise typer.Exit(1) + target = target[part] + + if parts[-1] not in target: + print_error(f"Unknown config key: {key}") + raise typer.Exit(1) + + current_value = target[parts[-1]] + if isinstance(current_value, str): + parsed_value = value + else: + try: + parsed_value = json.loads(value) + except json.JSONDecodeError: + expected_type = type(current_value).__name__ + print_error(f"Config key {key} expects {expected_type}; pass JSON (example: '[\"item\"]', 'true', '42').") + raise typer.Exit(1) + + target[parts[-1]] = parsed_value + try: + updated = Config.model_validate(data) + save_config(updated) + print_success(f"Set {key} = {value}") + except Exception as exc: + print_error(f"Invalid value: {exc}") + raise typer.Exit(1) + + +# ─── clean ────────────────────────────────────────────────────────────────── + +@clean_app.command("containers") +def clean_containers( + force: Annotated[bool, typer.Option("--force", help="Skip confirmation.")] = False, + dry_run: Annotated[bool, typer.Option("--dry-run", help="Show what would be removed.")] = False, +) -> None: + """Stop and remove containers.""" + if dry_run: + console.print("[bold]Would remove:[/bold]") + console.print(" - All superclaw containers (docker compose down)") + return + if not force: + typer.confirm("Remove all superclaw containers?", abort=True) + try: + config = load_config() + secrets = load_secrets() + project = _get_compose_project(config, secrets) + project.down() + print_success("Containers removed.") + except SuperclawCtlError as exc: + _handle_error(exc) + + +@clean_app.command("images") +def clean_images( + force: Annotated[bool, typer.Option("--force", help="Skip confirmation.")] = False, + dry_run: Annotated[bool, typer.Option("--dry-run", help="Show what would be removed.")] = False, +) -> None: + """Remove docker images.""" + try: + config = load_config() + except SuperclawCtlError as exc: + _handle_error(exc) + return + + images = [config.images.vllm] + if dry_run: + console.print("[bold]Would remove images:[/bold]") + for img in images: + console.print(f" - {img}") + return + if not force: + console.print("Will remove images:") + for img in images: + console.print(f" - {img}") + typer.confirm("Proceed?", abort=True) + + adapter = _get_adapter() + for img in images: + try: + adapter.run(["rmi", img], timeout=30) + print_success(f"Removed {img}") + except SuperclawCtlError: + print_warning(f"Could not remove {img} (may not exist)") + + +@clean_app.command("volumes") +def clean_volumes( + force: Annotated[bool, typer.Option("--force", help="Skip confirmation.")] = False, + dry_run: Annotated[bool, typer.Option("--dry-run", help="Show what would be removed.")] = False, +) -> None: + """Remove docker volumes.""" + volumes: list[str] = [] + if dry_run: + console.print("[bold]Would remove volumes:[/bold]") + if not volumes: + console.print(" - No managed volumes") + for vol in volumes: + console.print(f" - {vol}") + return + if not volumes: + console.print("[dim]No managed volumes to remove.[/dim]") + return + if not force: + typer.confirm("Remove all superclaw docker volumes? This deletes persistent data.", abort=True) + + adapter = _get_adapter() + for vol in volumes: + try: + adapter.run(["volume", "rm", vol], timeout=30) + print_success(f"Removed volume {vol}") + except SuperclawCtlError: + print_warning(f"Could not remove volume {vol} (may not exist)") + + +@clean_app.command("config") +def clean_config( + force: Annotated[bool, typer.Option("--force", help="Skip confirmation.")] = False, + dry_run: Annotated[bool, typer.Option("--dry-run", help="Show what would be removed.")] = False, +) -> None: + """Remove configuration directory.""" + config_dir = get_config_dir() + if dry_run: + console.print("[bold]Would remove:[/bold]") + console.print(f" - {config_dir}") + return + if not config_dir.exists(): + console.print("[dim]Config directory does not exist.[/dim]") + return + + if not force: + typer.confirm(f"Remove {config_dir} and all its contents?", abort=True) + + import shutil + shutil.rmtree(config_dir) + print_success(f"Removed {config_dir}") + + +@clean_app.command("all") +def clean_all( + force: Annotated[bool, typer.Option("--force", help="Skip confirmation.")] = False, + dry_run: Annotated[bool, typer.Option("--dry-run", help="Show what would be removed.")] = False, +) -> None: + """Remove containers, images, volumes, and config.""" + if dry_run: + console.print("[bold]Would remove:[/bold]") + console.print(" - All superclaw containers") + console.print(" - Docker images (vLLM)") + console.print(" - Docker volumes (none managed)") + console.print(f" - Config directory ({get_config_dir()})") + console.print(" [dim]Note: The models directory (~/.models by default) is never deleted.[/dim]") + return + + if not force: + typer.confirm("Remove ALL superclaw resources (containers, images, volumes, config)?", abort=True) + + clean_containers(force=True) + clean_images(force=True) + clean_volumes(force=True) + clean_config(force=True) + + +# ─── version ──────────────────────────────────────────────────────────────── + +@app.command() +def version() -> None: + """Show version info for CLI, Docker, and Compose.""" + adapter = _get_adapter() + console.print(f"[bold]superclaw-ctl[/bold] {__version__}") + console.print(f"Docker: {adapter.docker_version() or '[red]not found[/red]'}") + console.print(f"Compose: {adapter.compose_version() or '[red]not found[/red]'}") diff --git a/superclaw-ctl/src/superclaw_ctl/compose.py b/superclaw-ctl/src/superclaw_ctl/compose.py new file mode 100644 index 00000000..92c2328d --- /dev/null +++ b/superclaw-ctl/src/superclaw_ctl/compose.py @@ -0,0 +1,156 @@ +from __future__ import annotations + +from collections.abc import Generator +from dataclasses import dataclass +from pathlib import Path + +from .docker import DockerAdapter +from .errors import ComposeError +from .errors import SuperclawCtlError + + +@dataclass(slots=True) +class ContainerInfo: + name: str + service: str + state: str + health: str + ports: str + image: str + created: str + + +class ComposeProject: + """Manages a Docker Compose project.""" + + def __init__( + self, + adapter: DockerAdapter, + compose_files: list[Path], + project_name: str = "superclaw", + env: dict[str, str] | None = None, + ): + self._adapter = adapter + self._compose_files = compose_files + self._project_name = project_name + self._env = dict(env or {}) + + def up(self, *, services: list[str] | None = None, detach: bool = True) -> None: + """Start services with output rendered directly by Docker. + + With ``depends_on: condition: service_healthy`` in the compose file, + the compose process blocks until all health-check dependencies are + satisfied (which can take several minutes for vLLM). Output is + passed through to the terminal so Docker's native progress rendering + (build layers, pull progress, health waits) displays correctly. + """ + args = [*self._compose_args(), "up"] + if detach: + args.append("-d") + args.extend(services or []) + self._adapter.passthrough(args, env=self._env) + + def down(self, *, volumes: bool = False) -> None: + """Stop and remove containers.""" + args = [*self._compose_args(), "down"] + if volumes: + args.append("--volumes") + self._adapter.run(args, env=self._env) + + def restart(self, services: list[str] | None = None) -> None: + """Restart services.""" + self._adapter.run([*self._compose_args(), "restart", *(services or [])], env=self._env) + + def ps(self) -> list[ContainerInfo]: + """List containers with status, using --format json.""" + payload = self._adapter.run_json([*self._compose_args(), "ps", "--format", "json"], env=self._env) + entries = payload if isinstance(payload, list) else [payload] + if not all(isinstance(item, dict) for item in entries): + raise ComposeError(tuple(["docker", *self._compose_args(), "ps", "--format", "json"]), None, stderr="unexpected compose ps payload") + return [self._container_from_dict(item) for item in entries] + + def pull(self, services: list[str] | None = None) -> None: + """Pull images for services (output rendered directly by Docker).""" + self._adapter.passthrough([*self._compose_args(), "pull", *(services or [])], env=self._env) + + def logs(self, service: str | None = None, *, follow: bool = False, tail: int | None = None) -> Generator[str, None, None] | str: + """Get or follow logs.""" + args = [*self._compose_args(), "logs"] + if follow: + args.append("--follow") + if tail is not None: + args.extend(["--tail", str(tail)]) + if service: + args.append(service) + if follow: + return self._adapter.stream(args, env=self._env) + return self._adapter.run(args, env=self._env).stdout + + def render_config(self) -> str: + """Render resolved compose config.""" + return self._adapter.run([*self._compose_args(), "config"], env=self._env).stdout + + def running_project_names(self) -> list[str]: + """Return other running Compose project names on the host.""" + try: + payload = self._adapter.run_json(["compose", "ls", "--format", "json"], env=self._env) + except SuperclawCtlError: + return [] + + entries = payload if isinstance(payload, list) else [payload] + names: list[str] = [] + for item in entries: + if not isinstance(item, dict): + continue + name = str(item.get("Name") or "").strip() + status = str(item.get("Status") or "").lower() + if name and status.startswith("running"): + names.append(name) + return [name for name in names if name != self._project_name] + + def _compose_args(self) -> list[str]: + """Build base docker compose args with -f flags and -p project.""" + args = ["compose"] + for compose_file in self._compose_files: + args.extend(["-f", str(compose_file)]) + args.extend(["-p", self._project_name]) + return args + + def _container_from_dict(self, payload: dict[str, object]) -> ContainerInfo: + status = str(payload.get("Status") or "") + return ContainerInfo( + name=str(payload.get("Name") or payload.get("Names") or ""), + service=str(payload.get("Service") or ""), + state=str(payload.get("State") or status.split(" ", 1)[0].lower() or "unknown"), + health=str(payload.get("Health") or self._health_from_status(status)), + ports=self._format_ports(payload.get("Publishers") or payload.get("Ports") or ""), + image=str(payload.get("Image") or ""), + created=str(payload.get("CreatedAt") or payload.get("Created") or ""), + ) + + @staticmethod + def _health_from_status(status: str) -> str: + lowered = status.lower() + for health in ("healthy", "unhealthy", "starting"): + if health in lowered: + return health + return "none" + + @staticmethod + def _format_ports(value: object) -> str: + if isinstance(value, str): + return value + if not isinstance(value, list): + return "" + parts: list[str] = [] + for item in value: + if not isinstance(item, dict): + continue + host_ip = item.get("URL") or item.get("HostIp") or "" + published = item.get("PublishedPort") + target = item.get("TargetPort") + protocol = item.get("Protocol") or "tcp" + if published and target: + prefix = f"{host_ip}:" if host_ip else "" + parts.append(f"{prefix}{published}->{target}/{protocol}") + return ", ".join(parts) diff --git a/superclaw-ctl/src/superclaw_ctl/config.py b/superclaw-ctl/src/superclaw_ctl/config.py new file mode 100644 index 00000000..f543d07f --- /dev/null +++ b/superclaw-ctl/src/superclaw_ctl/config.py @@ -0,0 +1,268 @@ +from __future__ import annotations + +import os +import stat +import tomllib +import uuid +from pathlib import Path +from typing import Any + +import tomli_w +from pydantic import BaseModel, Field, ValidationError + +from superclaw_ctl.errors import ConfigError, SecretsError + +_CONFIG_FILE_NAME = "config.toml" +_SECRETS_FILE_NAME = "secrets.toml" +_REJECTED_TOKENS = frozenset({"", "1234qwer", "password", "secret", "admin", "test", "user"}) +# Escape hatch: set this env var truthy to allow known demo/weak tokens (e.g. `user`). +# An empty key is always rejected regardless, since it cannot authenticate anything. +_ALLOW_DEMO_KEY_ENV = "SUPERCLAW_ALLOW_DEMO_KEY" +_TRUTHY_ENV_VALUES = frozenset({"1", "true", "yes", "on"}) +_CONFIG_ENV_OVERRIDES = { + "SUPERCLAW_MODELS_DIR": ("paths", "models_dir"), +} +_SECRETS_ENV_OVERRIDES = { + "SUPERCLAW_VLLM_API_KEY": "vllm_api_key", +} + + +class ImagesConfig(BaseModel): + vllm: str = "intel/llm-scaler-vllm:0.14.0-b8.3" + + +class PathsConfig(BaseModel): + models_dir: str = "~/.models" + compose_dir: str = "~/.config/superclaw-ctl/compose" + logs_dir: str = "~/.config/superclaw-ctl/logs" + + +class ComposeConfig(BaseModel): + project_name: str = "superclaw" + extra_files: list[str] = Field(default_factory=list) + + +class Config(BaseModel): + config_version: int = 1 + images: ImagesConfig = Field(default_factory=ImagesConfig) + paths: PathsConfig = Field(default_factory=PathsConfig) + compose: ComposeConfig = Field(default_factory=ComposeConfig) + + +class Secrets(BaseModel): + vllm_api_key: str = "" + + +JsonDict = dict[str, Any] + + +def get_config_dir() -> Path: + return Path.home() / ".config" / "superclaw-ctl" + + +def load_config() -> Config: + path = _config_path() + if not path.exists(): + raise ConfigError( + f"Config file not found: {path}", + hint="Run `superclaw-ctl init` to create a config file.", + ) + + data = _read_toml(path, ConfigError, "config") + merged = _merge_dict(Config().model_dump(mode="python"), data) + merged = _merge_dict(merged, _config_env_data()) + return _validate_model(Config, merged, ConfigError, "config") + + +def save_config(config: Config) -> None: + _write_toml_atomic(_config_path(), config.model_dump(mode="python"), error_type=ConfigError) + + +def load_secrets() -> Secrets: + path = _secrets_path() + if not path.exists(): + raise SecretsError( + f"Secrets file not found: {path}", + hint="Run `superclaw-ctl init` to generate secrets.", + ) + + _verify_secrets_permissions(path) + data = _read_toml(path, SecretsError, "secrets") + merged = _merge_dict(Secrets().model_dump(mode="python"), data) + merged = _merge_dict(merged, _secrets_env_data()) + secrets = _validate_model(Secrets, merged, SecretsError, "secrets") + _raise_for_rejected_secret_values(secrets) + return secrets + + +def save_secrets(secrets: Secrets) -> None: + _raise_for_rejected_secret_values(secrets) + _write_toml_atomic( + _secrets_path(), + secrets.model_dump(mode="python"), + chmod_mode=0o600, + error_type=SecretsError, + ) + + +def config_exists() -> bool: + return _config_path().exists() + + +def secrets_exists() -> bool: + return _secrets_path().exists() + + +def validate_secrets(secrets: Secrets) -> list[str]: + warnings: list[str] = [] + values = secrets.model_dump(mode="python") + + for name, value in values.items(): + normalized = value.strip() + rejection_reason = _rejected_token_reason(normalized) + if rejection_reason is not None: + warnings.append(f"{name} {rejection_reason}.") + continue + if len(normalized) < 24: + warnings.append(f"{name} is shorter than the recommended 24 characters.") + if any(char.isspace() for char in value): + warnings.append(f"{name} contains whitespace; confirm it was copied correctly.") + + unique_values = {value.strip() for value in values.values() if value.strip()} + if len(unique_values) == 1 and len([value for value in values.values() if value.strip()]) > 1: + warnings.append("Multiple secrets reuse the same token; generate unique values for each service.") + + return warnings + + +def _config_path() -> Path: + return get_config_dir() / _CONFIG_FILE_NAME + + +def _secrets_path() -> Path: + return get_config_dir() / _SECRETS_FILE_NAME + + +def _read_toml(path: Path, error_type: type[ConfigError] | type[SecretsError], label: str) -> JsonDict: + try: + with path.open("rb") as handle: + data = tomllib.load(handle) + except tomllib.TOMLDecodeError as exc: + raise error_type( + f"Failed to parse {label} file: {path}", + hint="Fix the TOML syntax or recreate the file.", + ) from exc + except OSError as exc: + raise error_type(f"Failed to read {label} file: {path}") from exc + + if not isinstance(data, dict): + raise error_type(f"Invalid {label} file: expected a TOML table at the top level.") + return data + + +def _validate_model( + model_type: type[Config] | type[Secrets], + data: JsonDict, + error_type: type[ConfigError] | type[SecretsError], + label: str, +) -> Config | Secrets: + try: + return model_type.model_validate(data) + except ValidationError as exc: + raise error_type( + f"Invalid {label} file values.", + hint=str(exc), + ) from exc + + +def _config_env_data() -> JsonDict: + data: JsonDict = {} + for env_name, path_parts in _CONFIG_ENV_OVERRIDES.items(): + if env_name not in os.environ: + continue + current = data + for part in path_parts[:-1]: + current = current.setdefault(part, {}) + current[path_parts[-1]] = os.environ[env_name] + return data + + +def _secrets_env_data() -> JsonDict: + data: JsonDict = {} + for env_name, field_name in _SECRETS_ENV_OVERRIDES.items(): + if env_name in os.environ: + data[field_name] = os.environ[env_name] + return data + + +def _merge_dict(base: JsonDict, override: JsonDict) -> JsonDict: + merged = dict(base) + for key, value in override.items(): + if isinstance(value, dict) and isinstance(merged.get(key), dict): + merged[key] = _merge_dict(merged[key], value) + else: + merged[key] = value + return merged + + +def _write_toml_atomic( + path: Path, + data: JsonDict, + *, + error_type: type[ConfigError] | type[SecretsError], + chmod_mode: int | None = None, +) -> None: + path.parent.mkdir(parents=True, exist_ok=True) + temp_path = path.parent / f".{path.name}.{uuid.uuid4().hex}.tmp" + + try: + payload = tomli_w.dumps(data).encode("utf-8") + with temp_path.open("wb") as handle: + handle.write(payload) + if chmod_mode is not None and os.name != "nt": + os.chmod(temp_path, chmod_mode) + os.replace(temp_path, path) + if chmod_mode is not None and os.name != "nt": + os.chmod(path, chmod_mode) + except OSError as exc: + raise error_type(f"Failed to write file: {path}") from exc + finally: + if temp_path.exists(): + temp_path.unlink(missing_ok=True) + + +def _verify_secrets_permissions(path: Path) -> None: + if os.name == "nt": + return + + mode = stat.S_IMODE(path.stat().st_mode) + if mode & 0o077: + raise SecretsError( + f"Secrets file permissions are too open: {path}", + hint="Run `chmod 600 ~/.config/superclaw-ctl/secrets.toml`.", + ) + + +def _raise_for_rejected_secret_values(secrets: Secrets) -> None: + for name, value in secrets.model_dump(mode="python").items(): + rejection_reason = _rejected_token_reason(value.strip()) + if rejection_reason is not None: + raise SecretsError( + f"Invalid secret `{name}`: {rejection_reason}.", + hint="Generate a strong random token and save it again.", + ) + + +def _demo_key_allowed() -> bool: + return os.environ.get(_ALLOW_DEMO_KEY_ENV, "").strip().lower() in _TRUTHY_ENV_VALUES + + +def _rejected_token_reason(value: str) -> str | None: + if value == "": + return "cannot be empty" + if _demo_key_allowed(): + return None + lowered = value.lower() + if lowered in _REJECTED_TOKENS: + return "uses a rejected demo token" + return None diff --git a/superclaw-ctl/src/superclaw_ctl/display.py b/superclaw-ctl/src/superclaw_ctl/display.py new file mode 100644 index 00000000..00c74229 --- /dev/null +++ b/superclaw-ctl/src/superclaw_ctl/display.py @@ -0,0 +1,200 @@ +from __future__ import annotations +from collections.abc import Mapping +from typing import Any + +from rich import box +from rich.console import Console +from rich.panel import Panel +from rich.table import Table + +from superclaw_ctl.models import format_size + +console = Console() +error_console = Console(stderr=True) + +def print_status_table(containers: list) -> None: + """Print a rich table of container statuses.""" + table = _table("Service", "State", "Health", "Ports", ("Image", {"overflow": "fold"})) + for container in containers: + table.add_row( + str(_read(container, "service", "name", "Service", "Name", default="—")), + _style_state(str(_read(container, "state", "State", default="unknown"))), + _style_health(str(_read(container, "health", "Health", default="—"))), + _format_ports(_read(container, "ports", "Ports", default="")), + str(_read(container, "image", "Image", default="—")), + ) + console.print(table) + +def print_connection_info(host: str, ports: dict[str, int], token_hint: str) -> None: + """Print connection panel with IP, ports, and redacted token.""" + primary_port = ( + ports.get("vLLM Model Router") + or ports.get("vLLM Chat") + or ports.get("vLLM Embed") + or next(iter(ports.values()), 0) + ) + url = f"http://{host}:{primary_port}" if primary_port else f"http://{host}" + lines = [f"[bold]URL:[/bold] {url}"] + lines.extend(f"{service}: {host}:{port}" for service, port in sorted(ports.items())) + lines.append(f"[cyan]Token:[/cyan] {redact_token(token_hint)}") + console.print(Panel.fit("\n".join(lines), title="Connection", border_style="blue")) + +def print_check_results(results: list) -> None: + """Print doctor check results with PASS/WARN/FAIL coloring.""" + table = _table("Check", "Result", ("Details", {"overflow": "fold"}), box_style=box.SIMPLE) + labels = {"PASS": "[green]✓ PASS[/green]", "WARN": "[yellow]⚠ WARN[/yellow]", "FAIL": "[red]✗ FAIL[/red]"} + for result in results: + status = str(_read(result, "status", "result", default="unknown")).upper() + table.add_row( + str(_read(result, "name", "check", default="—")), + labels.get(status, status), + str(_read(result, "message", "detail", "details", default="")), + ) + console.print(table) + +def print_models_table(models: list) -> None: + """Print table of available models.""" + table = _table("Name", ("Size", {"justify": "right"}), "Architecture", "Quantization", ("Context Length", {"justify": "right"})) + for model in models: + table.add_row( + str(_read(model, "name", default="—")), + format_size(int(_read(model, "size_bytes", default=0) or 0)), + str(_read(model, "architecture", default="—") or "—"), + str(_read(model, "quantization", default="—") or "—"), + str(_read(model, "context_length", default="—") or "—"), + ) + console.print(table) + +def print_model_detail(model) -> None: + """Print detailed model info panel.""" + rows = ( + ("Name", _read(model, "name", default="—")), + ("Path", _read(model, "path", default="—")), + ("Size", format_size(int(_read(model, "size_bytes", default=0) or 0))), + ("Architecture", _read(model, "architecture", default="—") or "—"), + ("Parameters", _read(model, "num_parameters", default="—") or "—"), + ("Quantization", _read(model, "quantization", default="—") or "—"), + ("Context Length", _read(model, "context_length", default="—") or "—"), + ("Vocab Size", _read(model, "vocab_size", default="—") or "—"), + ("Model Type", _read(model, "model_type", default="—") or "—"), + ) + console.print(Panel.fit("\n".join(f"{label}: {value}" for label, value in rows), title="Model Details", border_style="cyan")) + +def print_gpu_info(gpus: list) -> None: + """Print GPU information table.""" + table = _table("Name", "Vendor", "Memory", "Driver", "Status") + for gpu in gpus: + table.add_row( + str(_read(gpu, "name", default="—")), + str(_read(gpu, "vendor", default="—")), + str(_read(gpu, "memory", "memory_total", default="—")), + str(_read(gpu, "driver", "driver_version", default="—")), + str(_read(gpu, "status", "state", default="—")), + ) + console.print(table) + +def print_keys(secrets, *, reveal: bool = False) -> None: + """Print keys, redacted unless reveal=True.""" + table = _table("Key", ("Value", {"overflow": "fold"}), box_style=box.SIMPLE) + for key, value in sorted(_as_dict(secrets).items()): + table.add_row(str(key), str(value if reveal or not isinstance(value, str) else redact_token(value))) + console.print(table) + +def print_config(config, secrets) -> None: + """Print effective config with secrets redacted.""" + table = _table("Section", "Key", ("Value", {"overflow": "fold"}), box_style=box.SIMPLE) + for key, value in _flatten(_as_dict(config)): + table.add_row("config", key, _stringify(value)) + for key, value in _flatten(_as_dict(secrets)): + table.add_row("secret", key, redact_token(str(value))) + console.print(table) + +def redact_token(token: str) -> str: + """Show first 4 chars + '...' for display.""" + return "***" if len(token) <= 4 else token[:4] + "..." + +def print_error(message: str, *, hint: str = "") -> None: + """Print an error panel to stderr with optional hint.""" + lines = [message] + if hint: + lines.append(f"Hint: {hint}") + error_console.print(Panel.fit("\n".join(lines), title="Error", border_style="red")) + +def print_success(message: str) -> None: + """Print a success message.""" + console.print(f"[green]✓[/green] {message}") + +def print_warning(message: str) -> None: + """Print a warning message.""" + console.print(f"[yellow]⚠[/yellow] {message}") + +def _table(*columns: str | tuple[str, dict[str, Any]], box_style=box.SIMPLE_HEAD) -> Table: + table = Table(box=box_style) + for column in columns: + table.add_column(column[0], **column[1]) if isinstance(column, tuple) else table.add_column(column) + return table + +def _read(item: Any, *keys: str, default: Any = "") -> Any: + if isinstance(item, Mapping): + for key in keys: + if key in item: + return item[key] + return default + for key in keys: + if hasattr(item, key): + return getattr(item, key) + return default + +def _as_dict(value: Any) -> dict[str, Any]: + if value is None: + return {} + if isinstance(value, Mapping): + return dict(value) + if hasattr(value, "model_dump"): + return dict(value.model_dump()) + return {key: item for key, item in vars(value).items() if not key.startswith("_")} if hasattr(value, "__dict__") else {} + +def _flatten(data: Mapping[str, Any], prefix: str = "") -> list[tuple[str, Any]]: + rows: list[tuple[str, Any]] = [] + for key, value in data.items(): + full_key = f"{prefix}.{key}" if prefix else str(key) + rows.extend(_flatten(value, full_key) if isinstance(value, Mapping) else [(full_key, value)]) + return rows + +def _format_ports(ports: Any) -> str: + if isinstance(ports, str): + return ports or "—" + if isinstance(ports, Mapping): + return ", ".join(f"{key}:{value}" for key, value in ports.items()) or "—" + if isinstance(ports, list): + rendered: list[str] = [] + for entry in ports: + if isinstance(entry, Mapping): + published = entry.get("PublishedPort") or entry.get("published") + target = entry.get("TargetPort") or entry.get("target") + rendered.append(f"{published}->{target}" if published and target else str(published or "")) + else: + rendered.append(str(entry)) + return ", ".join(part for part in rendered if part) or "—" + return "—" + +def _style_state(state: str) -> str: + lowered = state.lower() + if lowered == "running": + return f"[green]{state}[/green]" + if lowered in {"exited", "dead", "failed"}: + return f"[red]{state}[/red]" + return f"[yellow]{state}[/yellow]" if lowered in {"starting", "created", "restarting"} else state + +def _style_health(health: str) -> str: + lowered = health.lower() + if lowered == "healthy": + return f"[green]{health}[/green]" + if lowered in {"unhealthy", "failed"}: + return f"[red]{health}[/red]" + return f"[yellow]{health}[/yellow]" if lowered in {"starting", "unknown"} else (health or "—") + +def _stringify(value: Any) -> str: + if isinstance(value, bool): + return "true" if value else "false" + return "null" if value is None else str(value) diff --git a/superclaw-ctl/src/superclaw_ctl/docker.py b/superclaw-ctl/src/superclaw_ctl/docker.py new file mode 100644 index 00000000..486ab82a --- /dev/null +++ b/superclaw-ctl/src/superclaw_ctl/docker.py @@ -0,0 +1,194 @@ +from __future__ import annotations + +import json +import os +import subprocess +from collections.abc import Generator +from dataclasses import dataclass +from pathlib import Path + +from .errors import ComposeError, DockerError + + +@dataclass(slots=True) +class DockerResult: + returncode: int + stdout: str + stderr: str + + +class DockerAdapter: + def __init__(self, secrets_to_redact: list[str] | None = None): + self._redact = [secret for secret in secrets_to_redact or [] if secret] + + def run( + self, + args: list[str], + *, + timeout: int = 60, + capture: bool = True, + env: dict[str, str] | None = None, + cwd: Path | None = None, + ) -> DockerResult: + """Run a docker command and return the result.""" + command = self._command(args) + try: + completed = subprocess.run( + command, + check=False, + text=True, + timeout=timeout, + cwd=cwd, + env=self._env(env), + stdout=subprocess.PIPE if capture else subprocess.DEVNULL, + stderr=subprocess.PIPE if capture else subprocess.DEVNULL, + ) + except FileNotFoundError as exc: + raise self._command_error(command, 127, stderr=str(exc)) from exc + except subprocess.TimeoutExpired as exc: + stdout = self._decode(exc.stdout) + stderr = self._decode(exc.stderr) or f"timed out after {timeout}s" + raise self._command_error(command, None, stdout=stdout, stderr=stderr) from exc + + result = DockerResult( + returncode=completed.returncode, + stdout=self._redact_text(completed.stdout or ""), + stderr=self._redact_text(completed.stderr or ""), + ) + if completed.returncode != 0: + raise self._command_error(command, completed.returncode, result.stdout, result.stderr) + return result + + def run_json(self, args: list[str], **kwargs) -> list[dict] | dict: + """Run and parse JSON output (supports both JSON arrays and NDJSON).""" + result = self.run(args, **kwargs) + if not result.stdout.strip(): + return [] + try: + data = json.loads(result.stdout) + except json.JSONDecodeError: + # Docker compose ps outputs one JSON object per line (NDJSON) + lines = [line for line in result.stdout.strip().splitlines() if line.strip()] + try: + data = [json.loads(line) for line in lines] + except json.JSONDecodeError as exc: + raise self._command_error(self._command(args), result.returncode, result.stdout, "invalid JSON output") from exc + if isinstance(data, list): + if all(isinstance(item, dict) for item in data): + return data + elif isinstance(data, dict): + return data + raise self._command_error(self._command(args), result.returncode, result.stdout, "expected JSON object or array") + + def stream( + self, + args: list[str], + *, + env: dict[str, str] | None = None, + cwd: Path | None = None, + ) -> Generator[str, None, int]: + """Stream output line by line, yield each line. Returns exit code.""" + command = self._command(args) + try: + process = subprocess.Popen( + command, + stdout=subprocess.PIPE, + stderr=subprocess.STDOUT, + text=True, + bufsize=1, + cwd=cwd, + env=self._env(env), + ) + except FileNotFoundError as exc: + raise self._command_error(command, 127, stderr=str(exc)) from exc + + tail: list[str] = [] + assert process.stdout is not None + for raw_line in process.stdout: + line = self._redact_text(raw_line.rstrip("\r\n")) + if line: + tail.append(line) + tail[:] = tail[-20:] + yield line + + returncode = process.wait() + if returncode != 0: + raise self._command_error(command, returncode, stderr="\n".join(tail)) + return returncode + + def passthrough( + self, + args: list[str], + *, + env: dict[str, str] | None = None, + cwd: Path | None = None, + ) -> None: + """Run command with stdout/stderr directly attached to the terminal (no capture). + + This preserves ANSI escape codes for in-place progress rendering (e.g. docker pull). + """ + command = self._command(args) + try: + result = subprocess.run( + command, + cwd=cwd, + env=self._env(env), + ) + except FileNotFoundError as exc: + raise self._command_error(command, 127, stderr=str(exc)) from exc + if result.returncode != 0: + raise self._command_error(command, result.returncode) + + def docker_version(self) -> str | None: + """Get docker version string, or None if not found.""" + try: + return self.run(["version", "--format", "{{.Client.Version}}"], timeout=10).stdout.strip() or None + except DockerError: + return None + + def compose_version(self) -> str | None: + """Get docker compose version string, or None if not found.""" + try: + return self.run(["compose", "version", "--short"], timeout=10).stdout.strip() or None + except ComposeError: + return None + + def _redact_text(self, text: str) -> str: + """Replace known secrets in text with '***'.""" + redacted = text + for secret in self._redact: + redacted = redacted.replace(secret, "***") + return redacted + + def _command(self, args: list[str]) -> list[str]: + if args and args[0] in {"docker", "docker-compose"}: + return [*args] + return ["docker", *args] + + def _env(self, env: dict[str, str] | None) -> dict[str, str]: + merged = os.environ.copy() + if env: + merged.update(env) + return merged + + def _command_error( + self, + command: list[str], + returncode: int | None, + stdout: str = "", + stderr: str = "", + ) -> DockerError | ComposeError: + error_type = ComposeError if self._is_compose(command) else DockerError + return error_type(tuple(command), returncode, self._redact_text(stderr), self._redact_text(stdout)) + + @staticmethod + def _is_compose(command: list[str]) -> bool: + return bool(command) and (command[0] == "docker-compose" or (command[0] == "docker" and len(command) > 1 and command[1] == "compose")) + + @staticmethod + def _decode(value: bytes | str | None) -> str: + if value is None: + return "" + if isinstance(value, bytes): + return value.decode(errors="replace") + return value diff --git a/superclaw-ctl/src/superclaw_ctl/download.py b/superclaw-ctl/src/superclaw_ctl/download.py new file mode 100644 index 00000000..d3c521f3 --- /dev/null +++ b/superclaw-ctl/src/superclaw_ctl/download.py @@ -0,0 +1,335 @@ +"""Model download and integrity verification using huggingface_hub. + +Downloads full PyTorch/safetensors model repositories for vLLM serving. +Verifies integrity by comparing local snapshot revision against remote HEAD +and optionally checking LFS SHA256 for individual files. +""" + +from __future__ import annotations + +import hashlib +import logging +import os +from dataclasses import dataclass +from pathlib import Path +from typing import Callable + +from huggingface_hub import HfApi, snapshot_download +from huggingface_hub.utils import HfHubHTTPError + +from .registry import VllmModelEntry + +_log = logging.getLogger(__name__) +_HF_NETWORK_TIMEOUT_SECONDS = 30 +_HF_PRIMARY_ENDPOINT = "https://huggingface.co" +_HF_MIRROR_ENDPOINT = "https://hf-mirror.com" + + +@dataclass(slots=True) +class DownloadResult: + model_id: str + local_dir: Path + already_present: bool = False + error: str | None = None + + +@dataclass(slots=True) +class VerifyResult: + model_id: str + local_valid: bool = False + remote_matches: bool | None = None + local_revision: str = "" + remote_revision: str = "" + error: str | None = None + + +def download_model( + entry: VllmModelEntry, + models_dir: Path, + *, + on_progress: Callable[[str], None] | None = None, +) -> DownloadResult: + """Download a model snapshot from HuggingFace, with automatic fallback to hf-mirror.com. + + Tries huggingface.co first. On network-class errors (timeouts, connection failures, + DNS issues), automatically retries using hf-mirror.com as an alternative endpoint. + Auth/404 errors are not retried. Proxy settings (HTTP_PROXY, HTTPS_PROXY) apply to + both endpoints. + """ + local_dir = models_dir / entry.local_dir_name + + # Quick check: if model directory exists with config.json, likely present + if _snapshot_looks_complete(local_dir): + if on_progress: + on_progress(f"{entry.name}: already present, verifying...") + verification = verify_model(entry, models_dir, check_remote=True) + if verification.local_valid and verification.remote_matches is not False: + if verification.error: + return DownloadResult( + model_id=entry.id, + local_dir=local_dir, + already_present=True, + error=( + "Local model files are present, but remote verification failed. " + f"{verification.error}" + ), + ) + return DownloadResult( + model_id=entry.id, local_dir=local_dir, already_present=True + ) + if on_progress: + on_progress(f"{entry.name}: integrity check failed, re-downloading...") + + if on_progress: + on_progress(f"{entry.name}: downloading from {entry.repo}...") + + # Try primary endpoint (huggingface.co) + primary_exc = _attempt_snapshot_download(entry, local_dir, endpoint=_HF_PRIMARY_ENDPOINT) + if primary_exc is None: + if on_progress: + on_progress(f"{entry.name}: download complete.") + return DownloadResult(model_id=entry.id, local_dir=local_dir) + + # On network errors only, retry via hf-mirror.com + if _is_network_error(primary_exc): + _log.debug( + "huggingface.co unreachable for %s (%s), retrying via hf-mirror.com...", + entry.repo, + primary_exc, + ) + if on_progress: + on_progress( + f"{entry.name}: huggingface.co unreachable, retrying via hf-mirror.com..." + ) + mirror_exc = _attempt_snapshot_download(entry, local_dir, endpoint=_HF_MIRROR_ENDPOINT) + if mirror_exc is None: + if on_progress: + on_progress(f"{entry.name}: download complete (via hf-mirror.com).") + return DownloadResult(model_id=entry.id, local_dir=local_dir) + + _log.error( + "Both endpoints failed for %s. Primary: %s; Mirror: %s", + entry.repo, + primary_exc, + mirror_exc, + ) + return DownloadResult( + model_id=entry.id, + local_dir=local_dir, + error=( + f"huggingface.co: {primary_exc}; hf-mirror.com: {mirror_exc}" + f"{_proxy_guidance_hint(primary_exc)}" + ), + ) + + # Non-network error (e.g. 401, 404) — don't retry + _log.error("Failed to download %s: %s", entry.repo, primary_exc) + hint = _proxy_guidance_hint(primary_exc) + return DownloadResult( + model_id=entry.id, + local_dir=local_dir, + error=f"{primary_exc}{hint}", + ) + + +def _attempt_snapshot_download( + entry: VllmModelEntry, + local_dir: Path, + endpoint: str, +) -> Exception | None: + """Try snapshot_download against the given endpoint. Returns None on success, the exception on failure.""" + try: + snapshot_download( + repo_id=entry.repo, + revision=entry.revision, + local_dir=str(local_dir), + etag_timeout=_HF_NETWORK_TIMEOUT_SECONDS, + endpoint=endpoint, + ) + return None + except (HfHubHTTPError, OSError, Exception) as exc: + return exc + + +def verify_model( + entry: VllmModelEntry, + models_dir: Path, + *, + check_remote: bool = True, +) -> VerifyResult: + """Verify model integrity. + + Checks: + 1. Local snapshot directory exists and includes config.json + 2. If check_remote: local revision matches HuggingFace remote HEAD + 3. If check_remote: key LFS files have correct SHA256 + """ + local_dir = models_dir / entry.local_dir_name + result = VerifyResult(model_id=entry.id) + + if not local_dir.is_dir(): + result.error = f"Directory not found: {local_dir}" + return result + + # Check local completeness + config_path = local_dir / "config.json" + if not config_path.is_file(): + result.error = "Missing config.json" + return result + + # Read local revision from snapshot metadata + local_rev = _read_local_revision(local_dir) + result.local_revision = local_rev + result.local_valid = True + + if not check_remote: + return result + + # Compare with remote HEAD + try: + api = HfApi() + model_info = api.model_info( + entry.repo, + revision=entry.revision, + timeout=_HF_NETWORK_TIMEOUT_SECONDS, + ) + result.remote_revision = model_info.sha or "" + + if local_rev and model_info.sha: + result.remote_matches = local_rev == model_info.sha + else: + # Can't compare revisions; check key files via SHA + result.remote_matches = _verify_key_files(api, entry, local_dir) + + except HfHubHTTPError as exc: + hint = _proxy_guidance_hint(exc) + _log.warning("Remote verification failed for %s: %s%s", entry.repo, exc, hint) + result.remote_matches = None + result.error = f"Remote check failed: {exc}{hint}" + except Exception as exc: + hint = _proxy_guidance_hint(exc) + _log.warning("Unexpected error verifying %s: %s%s", entry.repo, exc, hint) + result.remote_matches = None + result.error = f"Remote check failed: {exc}{hint}" + + return result + + +def _snapshot_looks_complete(local_dir: Path) -> bool: + """Quick heuristic: directory exists with config.json and at least one shard.""" + if not local_dir.is_dir(): + return False + if not (local_dir / "config.json").is_file(): + return False + # Check for safetensors or bin files + has_weights = ( + any(local_dir.glob("*.safetensors")) + or any(local_dir.glob("model*.bin")) + or any(local_dir.glob("*.gguf")) + ) + return has_weights + + +def _read_local_revision(local_dir: Path) -> str: + """Read the commit SHA from HuggingFace snapshot metadata. + + snapshot_download stores metadata in .cache/huggingface/ or in + refs/main under the cache dir. We also check for a .huggingface/ + directory that newer versions create. + """ + # Modern layout: snapshot_download with local_dir creates a + # .huggingface/commit_hash file + commit_file = local_dir / ".huggingface" / "commit_hash" + if commit_file.is_file(): + return commit_file.read_text(encoding="utf-8").strip() + + # Fallback: check refs/main in HF cache structure + refs_main = local_dir / "refs" / "main" + if refs_main.is_file(): + return refs_main.read_text(encoding="utf-8").strip() + + return "" + + +def _verify_key_files( + api: HfApi, entry: VllmModelEntry, local_dir: Path +) -> bool: + """Verify SHA256 of key model files against HuggingFace remote.""" + # Find safetensors files to verify (just check the first shard) + safetensors = sorted(local_dir.glob("*.safetensors")) + if not safetensors: + safetensors = sorted(local_dir.glob("model*.bin")) + if not safetensors: + return True # No files to verify + + target_file = safetensors[0] + relative_path = target_file.name + + try: + paths_info = api.get_paths_info( + repo_id=entry.repo, + paths=[relative_path], + repo_type="model", + revision=entry.revision, + ) + except Exception as exc: + _log.warning("get_paths_info failed for %s: %s", entry.repo, exc) + return True # Can't verify, assume OK + + if not paths_info: + return True + + remote_entry = paths_info[0] + lfs = getattr(remote_entry, "lfs", None) + if lfs is None: + return True + + remote_sha = getattr(lfs, "sha256", None) + if not remote_sha: + return True + + # Compute local SHA256 + local_sha = _sha256_file(target_file) + return local_sha.lower() == remote_sha.lower() + + +def _sha256_file(path: Path) -> str: + """Compute SHA256 of a file in chunks to handle large files.""" + h = hashlib.sha256() + with path.open("rb") as f: + while chunk := f.read(1024 * 1024 * 8): # 8MB chunks + h.update(chunk) + return h.hexdigest() + + +def _is_network_error(exc: Exception) -> bool: + """Return True if the exception looks like a transient network failure.""" + message = str(exc).lower() + return any( + token in message + for token in ( + "timed out", + "timeout", + "failed to connect", + "connection", + "name resolution", + "temporary failure", + "proxy", + "network is unreachable", + "max retries exceeded", + "newconnectionerror", + "failed to establish", + ) + ) + + +def _proxy_guidance_hint(exc: Exception) -> str: + if not _is_network_error(exc): + return "" + + http_proxy = os.environ.get("HTTP_PROXY") or os.environ.get("http_proxy") + https_proxy = os.environ.get("HTTPS_PROXY") or os.environ.get("https_proxy") + if not (http_proxy or https_proxy): + return "\nCheck proxy settings: set HTTP_PROXY/HTTPS_PROXY if your network requires a proxy." + + return "\nCheck proxy settings: verify HTTP_PROXY/HTTPS_PROXY and NO_PROXY are correct for your environment." diff --git a/superclaw-ctl/src/superclaw_ctl/errors.py b/superclaw-ctl/src/superclaw_ctl/errors.py new file mode 100644 index 00000000..2c4521c9 --- /dev/null +++ b/superclaw-ctl/src/superclaw_ctl/errors.py @@ -0,0 +1,80 @@ +from __future__ import annotations + +from typing import ClassVar + + +class SuperclawCtlError(Exception): + """Base error type for user-facing CLI failures.""" + + default_exit_code: ClassVar[int] = 1 + + def __init__(self, message: str, *, hint: str | None = None) -> None: + super().__init__(message) + self.message = message + self.hint = hint + + @property + def exit_code(self) -> int: + return self.default_exit_code + + def __str__(self) -> str: + return self.message + + +class CommandError(SuperclawCtlError): + """Error raised for failed external command execution.""" + + def __init__( + self, + message_or_command: str | tuple[str, ...] | list[str], + returncode: int | None = None, + stderr: str = "", + stdout: str = "", + *, + hint: str | None = None, + ) -> None: + if isinstance(message_or_command, str): + message = message_or_command + command: tuple[str, ...] = () + else: + command = tuple(message_or_command) + details = stderr or stdout or "command failed" + suffix = f" (exit code {returncode})" if returncode is not None else "" + message = f"{' '.join(command)}{suffix}: {details}" + super().__init__(message, hint=hint) + self.command = command + self.returncode = returncode + self.stderr = stderr + self.stdout = stdout + + +class ConfigError(SuperclawCtlError): + default_exit_code = 2 + + +class DockerError(CommandError): + default_exit_code = 3 + + +class ComposeError(CommandError): + default_exit_code = 4 + + +class SecretsError(SuperclawCtlError): + default_exit_code = 5 + + +class GPUError(SuperclawCtlError): + default_exit_code = 6 + + +class HealthError(SuperclawCtlError): + default_exit_code = 7 + + +class ImageError(SuperclawCtlError): + default_exit_code = 8 + + +class ModelError(SuperclawCtlError): + default_exit_code = 9 diff --git a/superclaw-ctl/src/superclaw_ctl/gpu.py b/superclaw-ctl/src/superclaw_ctl/gpu.py new file mode 100644 index 00000000..a29deb06 --- /dev/null +++ b/superclaw-ctl/src/superclaw_ctl/gpu.py @@ -0,0 +1,149 @@ +from __future__ import annotations + +"""Intel Arc GPU detection helpers for superclaw-ctl.""" + +from dataclasses import dataclass +import json +import os +from pathlib import Path +import re +import shutil +import subprocess + + +@dataclass(slots=True) +class GPUInfo: + """Detected Intel GPU details.""" + + device_path: str + name: str + tiles: int + driver_version: str + pci_id: str = "" # Uppercase hex device ID, e.g. "E223". Empty if unavailable. + + +def _run(*argv: str) -> str: + result = subprocess.run(argv, capture_output=True, text=True, check=False) + return result.stdout.strip() if result.returncode == 0 else "" + + +def _parse_xpu_discovery(text: str) -> list[GPUInfo]: + try: + payload = json.loads(text) + except json.JSONDecodeError: + payload = None + if isinstance(payload, dict): + devices = payload.get("devices") or payload.get("device_list") or [] + infos: list[GPUInfo] = [] + for index, item in enumerate(devices): + if not isinstance(item, dict): + continue + raw_pci = str(item.get("pci_device_id") or "") + try: + pci_id = format(int(raw_pci, 16), "X") if raw_pci else "" + except ValueError: + pci_id = "" + infos.append( + GPUInfo( + device_path=str(item.get("device_path") or f"/dev/dri/renderD{128 + index}"), + name=str(item.get("device_name") or item.get("name") or "Intel Arc GPU"), + tiles=int(item.get("tile_count") or item.get("tiles") or 1), + driver_version=str(item.get("driver_version") or item.get("driver") or ""), + pci_id=pci_id, + ) + ) + if infos: + return infos + infos: list[GPUInfo] = [] + for block in re.split(r"\n\s*\n", text): + if "Intel" not in block: + continue + path = re.search(r"(/dev/dri/renderD\d+)", block) + name = re.search(r"(?:Device Name|Name)\s*[:=]\s*(.+)", block) + tiles = re.search(r"(?:Tile(?: Count)?|Tiles)\s*[:=]\s*(\d+)", block) + driver = re.search(r"(?:Driver(?: Version)?|Kernel)\s*[:=]\s*(.+)", block) + infos.append( + GPUInfo( + device_path=path.group(1) if path else "/dev/dri/renderD128", + name=name.group(1).strip() if name else "Intel Arc GPU", + tiles=int(tiles.group(1)) if tiles else 1, + driver_version=driver.group(1).strip() if driver else "", + ) + ) + return infos + + +def _parse_lspci_pci_id(line: str) -> str: + """Extract uppercase device ID from a `lspci -nn` line, e.g. '[8086:E223]' -> 'E223'.""" + match = re.search(r"\[8086:([0-9A-Fa-f]+)\]", line) + return match.group(1).upper() if match else "" + + +def detect_gpus() -> list[GPUInfo]: + """Detect Intel Arc GPUs. Returns empty list if none found.""" + render_nodes = sorted(Path("/dev/dri").glob("renderD*")) if Path("/dev/dri").exists() else [] + if shutil.which("xpu-smi"): + discovered = _parse_xpu_discovery(_run("xpu-smi", "discovery", "-j") or _run("xpu-smi", "discovery")) + if discovered and all(gpu.pci_id for gpu in discovered): + # xpu-smi found GPUs with PCI IDs + for index, info in enumerate(discovered): + if info.device_path.startswith("/dev/dri/renderD") and index < len(render_nodes): + info.device_path = str(render_nodes[index]) + return discovered + # xpu-smi either found no devices or they lack pci_id, fallback to use lspci + lspci = _run("lspci", "-nn") if shutil.which("lspci") else "" + intel_lines = [line for line in lspci.splitlines() if "Intel" in line and ("VGA" in line or "Display" in line)] + return [ + GPUInfo( + device_path=str(path), + name=intel_lines[index].split(": ", 1)[-1] if index < len(intel_lines) else "Intel Arc GPU", + tiles=1, + driver_version=os.uname().release if hasattr(os, "uname") else "", + pci_id=_parse_lspci_pci_id(intel_lines[index]) if index < len(intel_lines) else "", + ) + for index, path in enumerate(render_nodes) + ] + + +def check_gpu_access() -> list[str]: + """Check GPU accessibility. Returns list of warnings.""" + warnings: list[str] = [] + dri = Path("/dev/dri") + if os.name == "nt": + return ["GPU access checks are only available on Linux hosts."] + if not dri.exists(): + return ["/dev/dri is missing; GPU devices are not exposed."] + render_nodes = sorted(dri.glob("renderD*")) + if not render_nodes: + warnings.append("No /dev/dri/renderD* devices found.") + if hasattr(os, "getgroups"): + import grp + + groups = {grp.getgrgid(gid).gr_name for gid in os.getgroups()} + if groups.isdisjoint({"render", "video"}): + warnings.append("Current user is not in the render or video group.") + for path in render_nodes: + if not os.access(path, os.R_OK | os.W_OK): + warnings.append(f"{path} is not readable and writable by the current user.") + return warnings + + +def gpu_utilization() -> list[dict] | None: + """Get GPU utilization via xpu-smi. Returns None if unavailable.""" + if not shutil.which("xpu-smi"): + return None + for argv in (("xpu-smi", "dump", "-j"), ("xpu-smi", "stats", "-j"), ("xpu-smi", "discovery", "-j")): + output = _run(*argv) + if not output: + continue + try: + payload = json.loads(output) + except json.JSONDecodeError: + continue + if isinstance(payload, dict): + devices = payload.get("devices") or payload.get("device_list") or payload.get("data") + if isinstance(devices, list): + return [item for item in devices if isinstance(item, dict)] + if isinstance(payload, list): + return [item for item in payload if isinstance(item, dict)] + return None diff --git a/superclaw-ctl/src/superclaw_ctl/health.py b/superclaw-ctl/src/superclaw_ctl/health.py new file mode 100644 index 00000000..f519f3ad --- /dev/null +++ b/superclaw-ctl/src/superclaw_ctl/health.py @@ -0,0 +1,92 @@ +from __future__ import annotations + +"""HTTP health probes with retry and timeout helpers.""" + +from collections.abc import Callable +from typing import Any +from dataclasses import dataclass +import time +from urllib.parse import urlparse + +import httpx + + +@dataclass(slots=True) +class HealthStatus: + """Result of probing a service health endpoint.""" + + service: str + healthy: bool + status_code: int | None = None + response_body: str = "" + error: str = "" + latency_ms: float = 0 + + +def probe_endpoint(url: str, *, headers: dict[str, str] | None = None, timeout: float = 5.0) -> HealthStatus: + """Single health probe to a URL.""" + service = urlparse(url).netloc or url + started = time.perf_counter() + try: + response = httpx.get(url, headers=headers, timeout=timeout) + except httpx.HTTPError as exc: + return HealthStatus(service=service, healthy=False, error=str(exc), latency_ms=(time.perf_counter() - started) * 1000) + latency_ms = (time.perf_counter() - started) * 1000 + body = response.text[:1000] + return HealthStatus( + service=service, + healthy=200 <= response.status_code < 300, + status_code=response.status_code, + response_body=body, + latency_ms=latency_ms, + ) + + +def wait_for_healthy( + url: str, + *, + service_name: str = "", + headers: dict[str, str] | None = None, + timeout: float = 300, + interval: float = 5.0, + on_retry: Callable[[int, float], Any] | None = None, +) -> HealthStatus: + """Poll until healthy or timeout. Calls on_retry(attempt, elapsed) each iteration.""" + started = time.monotonic() + attempt = 0 + last = HealthStatus(service=service_name or (urlparse(url).netloc or url), healthy=False) + while True: + elapsed = time.monotonic() - started + remaining = timeout - elapsed + if remaining <= 0: + last.error = last.error or f"Timed out after {timeout:.1f}s waiting for {last.service}." + return last + attempt += 1 + last = probe_endpoint(url, headers=headers, timeout=min(interval, remaining)) + if service_name: + last.service = service_name + if last.healthy: + return last + elapsed = time.monotonic() - started + if elapsed >= timeout: + last.error = last.error or f"Timed out after {timeout:.1f}s waiting for {last.service}." + return last + if on_retry is not None: + on_retry(attempt, elapsed) + time.sleep(min(interval, max(timeout - elapsed, 0))) + + +def check_vllm_health(host: str = "127.0.0.1", port: int = 18103, api_key: str = "") -> HealthStatus: + """Check vLLM /v1/models endpoint.""" + headers = {"Authorization": f"Bearer {api_key}"} if api_key else None + status = probe_endpoint(f"http://{host}:{port}/v1/models", headers=headers) + status.service = "vllm" + return status + + +def check_router_health(host: str = "127.0.0.1", port: int = 8080, api_key: str = "") -> HealthStatus: + """Check model service router /v1/models endpoint.""" + headers = {"Authorization": f"Bearer {api_key}"} if api_key else None + status = probe_endpoint(f"http://{host}:{port}/v1/models", headers=headers, timeout=3.0) + status.service = "model service router" + return status diff --git a/superclaw-ctl/src/superclaw_ctl/models.py b/superclaw-ctl/src/superclaw_ctl/models.py new file mode 100644 index 00000000..bc858604 --- /dev/null +++ b/superclaw-ctl/src/superclaw_ctl/models.py @@ -0,0 +1,167 @@ +from __future__ import annotations + +import json +import re +from dataclasses import dataclass +from pathlib import Path + + +@dataclass(slots=True) +class ModelInfo: + name: str + path: Path + size_bytes: int = 0 + architecture: str = "" + num_parameters: str = "" + quantization: str = "" + context_length: int = 0 + vocab_size: int = 0 + model_type: str = "" + + +def list_models(models_dir: Path) -> list[ModelInfo]: + """Scan models_dir for model subdirectories and return info.""" + if not models_dir.is_dir(): + return [] + + return [ + _build_model_info(model_path) + for model_path in sorted( + (path for path in models_dir.iterdir() if path.is_dir()), + key=lambda path: path.name.lower(), + ) + ] + + +def get_model_info(models_dir: Path, name: str) -> ModelInfo | None: + """Get detailed info for a specific model.""" + model_path = models_dir / name + if not model_path.is_dir(): + return None + return _build_model_info(model_path) + + +def get_dir_size(path: Path) -> int: + """Recursively calculate directory size in bytes.""" + total = 0 + for child in path.rglob("*"): + try: + if child.is_file(): + total += child.stat().st_size + except OSError: + continue + return total + + +def format_size(size_bytes: int) -> str: + """Format bytes as human-readable string (e.g., '22.3 GB').""" + size = float(max(size_bytes, 0)) + units = ["B", "KB", "MB", "GB", "TB", "PB"] + for unit in units: + if size < 1024 or unit == units[-1]: + return f"{int(size)} {unit}" if unit == "B" else f"{size:.1f} {unit}" + size /= 1024 + return f"{size_bytes} B" + + +def _parse_config_json(config_path: Path) -> dict: + """Parse model config.json and extract relevant fields.""" + if not config_path.is_file(): + return {} + + try: + raw = json.loads(config_path.read_text(encoding="utf-8")) + except (OSError, UnicodeDecodeError, json.JSONDecodeError): + return {} + + architecture = "" + architectures = raw.get("architectures") + if isinstance(architectures, list) and architectures: + architecture = str(architectures[0]) + elif isinstance(architectures, str): + architecture = architectures + + return { + "architecture": architecture, + "context_length": _as_int( + raw.get("max_position_embeddings") or raw.get("model_max_length") + ), + "vocab_size": _as_int(raw.get("vocab_size")), + "model_type": str(raw.get("model_type") or ""), + "quantization": _extract_quantization(raw, config_path.parent.name), + "num_parameters": _extract_num_parameters(raw, config_path.parent.name), + } + + +def _build_model_info(model_path: Path) -> ModelInfo: + config = _parse_config_json(model_path / "config.json") + return ModelInfo( + name=model_path.name, + path=model_path, + size_bytes=get_dir_size(model_path), + architecture=str(config.get("architecture") or ""), + num_parameters=str(config.get("num_parameters") or ""), + quantization=str(config.get("quantization") or ""), + context_length=_as_int(config.get("context_length")), + vocab_size=_as_int(config.get("vocab_size")), + model_type=str(config.get("model_type") or ""), + ) + + +def _as_int(value: object) -> int: + try: + return int(value) if value is not None else 0 + except (TypeError, ValueError): + return 0 + + +def _extract_quantization(config: dict, model_name: str) -> str: + quantization_config = config.get("quantization_config") + if isinstance(quantization_config, dict): + quant_method = quantization_config.get("quant_method") + if isinstance(quant_method, str) and quant_method: + return quant_method + bits = quantization_config.get("bits") + if bits is not None: + return f"int{bits}" + + for key in ("quantization", "torch_dtype"): + value = config.get(key) + if isinstance(value, str) and value: + normalized = { + "float16": "fp16", + "float32": "fp32", + "bfloat16": "bf16", + }.get(value.lower(), value) + return normalized + + match = re.search( + r"(?i)(Q\d(?:_[A-Z]+(?:_[A-Z]+)*)?|fp(?:8|16|32)|bf16|int(?:4|8))", + model_name, + ) + return match.group(1) if match else "" + + +def _extract_num_parameters(config: dict, model_name: str) -> str: + for key in ("num_parameters", "parameter_count"): + value = config.get(key) + if isinstance(value, str) and value: + return value + if isinstance(value, (int, float)) and value > 0: + return _humanize_parameter_count(float(value)) + + match = re.search(r"(?i)(\d+(?:\.\d+)?)\s*([BMK])", model_name) + if not match: + return "" + + value = float(match.group(1)) + suffix = match.group(2).upper() + return f"{value:g}{suffix}" + + +def _humanize_parameter_count(value: float) -> str: + for suffix, scale in (("B", 1_000_000_000), ("M", 1_000_000), ("K", 1_000)): + if value >= scale: + amount = value / scale + return f"{amount:.1f}{suffix}" if amount % 1 else f"{int(amount)}{suffix}" + return str(int(value)) diff --git a/superclaw-ctl/src/superclaw_ctl/registry.py b/superclaw-ctl/src/superclaw_ctl/registry.py new file mode 100644 index 00000000..b687c223 --- /dev/null +++ b/superclaw-ctl/src/superclaw_ctl/registry.py @@ -0,0 +1,79 @@ +"""vLLM model registry. + +Provides the model manifest for Linux/vLLM deployments using full PyTorch +repos from HuggingFace (safetensors format). +""" + +from __future__ import annotations + +import importlib.resources +import json +from dataclasses import dataclass, field +from pathlib import Path +from typing import Any + + +@dataclass(slots=True) +class VllmModelEntry: + id: str + name: str + role: str # "chat" or "embedding" + repo: str # HuggingFace repo_id e.g. "Qwen/Qwen3-Coder-Next" + revision: str = "main" + local_dir_name: str = "" + vllm_args: dict[str, Any] = field(default_factory=dict) + + +@dataclass(slots=True) +class VllmRegistry: + active_chat_model: str + active_embedding_model: str + models: list[VllmModelEntry] + + def get_active_chat(self) -> VllmModelEntry | None: + return next((m for m in self.models if m.id == self.active_chat_model), None) + + def get_active_embedding(self) -> VllmModelEntry | None: + return next((m for m in self.models if m.id == self.active_embedding_model), None) + + def get_active_models(self) -> list[VllmModelEntry]: + """Return the active chat + embedding models.""" + result = [] + chat = self.get_active_chat() + if chat: + result.append(chat) + embed = self.get_active_embedding() + if embed: + result.append(embed) + return result + + +def load_registry(path: Path | None = None) -> VllmRegistry: + """Load the vLLM model registry from a JSON file. + + If no path is given, loads the bundled vllm_models.json. + """ + if path is None: + resource = importlib.resources.files("superclaw_ctl").joinpath("vllm_models.json") + raw = json.loads(resource.read_text(encoding="utf-8")) + else: + raw = json.loads(path.read_text(encoding="utf-8")) + + models = [ + VllmModelEntry( + id=m["id"], + name=m["name"], + role=m["role"], + repo=m["repo"], + revision=m.get("revision", "main"), + local_dir_name=m.get("local_dir_name", m["id"]), + vllm_args=m.get("vllm_args", {}), + ) + for m in raw["models"] + ] + + return VllmRegistry( + active_chat_model=raw["active_chat_model"], + active_embedding_model=raw["active_embedding_model"], + models=models, + ) diff --git a/superclaw-ctl/src/superclaw_ctl/secrets.py b/superclaw-ctl/src/superclaw_ctl/secrets.py new file mode 100644 index 00000000..91e55ea0 --- /dev/null +++ b/superclaw-ctl/src/superclaw_ctl/secrets.py @@ -0,0 +1,51 @@ +from __future__ import annotations + +"""Secret generation and file-permission helpers.""" + +import os +from pathlib import Path +import secrets as stdlib_secrets +import stat + +WEAK_TOKENS = {"", "1234qwer", "password", "secret", "admin", "test", "user"} + + +def generate_key(nbytes: int = 32) -> str: + """Generate a cryptographically secure URL-safe key from nbytes of randomness.""" + return stdlib_secrets.token_urlsafe(nbytes) + + +def enforce_permissions(path: Path) -> None: + """Ensure file has 0600 permissions. No-op on Windows.""" + if os.name != "nt": + path.chmod(stat.S_IRUSR | stat.S_IWUSR) + + +def check_permissions(path: Path) -> bool: + """Check if file has correct (0600) permissions. Always True on Windows.""" + if os.name == "nt": + return True + mode = path.stat().st_mode & 0o777 + return mode == 0o600 + + +def is_weak_token(token: str) -> bool: + """Check if a token is known-weak or a demo default.""" + return token.strip().lower() in WEAK_TOKENS + + +def validate_token_strength(token: str) -> list[str]: + """Return warnings about token strength.""" + warnings: list[str] = [] + stripped = token.strip() + if is_weak_token(stripped): + warnings.append("Token matches a known weak or demo default.") + if len(stripped) < 16: + warnings.append("Token should be at least 16 characters long.") + if stripped.isalpha() or stripped.isdigit(): + warnings.append("Token should mix character classes rather than using only letters or digits.") + if stripped.lower() == stripped or stripped.upper() == stripped: + warnings.append("Token should include mixed case or symbols for better entropy.") + if any(ch.isspace() for ch in token): + warnings.append("Token should not contain whitespace.") + return warnings diff --git a/superclaw-ctl/src/superclaw_ctl/templates/__init__.py b/superclaw-ctl/src/superclaw_ctl/templates/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/superclaw-ctl/src/superclaw_ctl/templates/docker-compose.vllm.yml b/superclaw-ctl/src/superclaw_ctl/templates/docker-compose.vllm.yml new file mode 100644 index 00000000..2e19169b --- /dev/null +++ b/superclaw-ctl/src/superclaw_ctl/templates/docker-compose.vllm.yml @@ -0,0 +1,168 @@ +# Standalone vLLM-only compose template. +# Generated by superclaw-ctl init. Edit as needed. +# +# Start: docker compose -f docker-compose.vllm.yml up -d +# Stop: docker compose -f docker-compose.vllm.yml down + +services: + vllm: + container_name: qwen-vllm + image: ${VLLM_IMAGE:-intel/llm-scaler-vllm:0.14.0-b8.3} + network_mode: host + ipc: host + privileged: true + shm_size: "32gb" + devices: + - /dev/dri:/dev/dri + volumes: + - ${LOCAL_MODELS_DIR:-/models}:/llm/models + - ${LOCAL_LOGS_DIR:-/home/user/qwen-vllm-logs}:/llm/logs + environment: + HTTP_PROXY: ${HTTP_PROXY:-} + HTTPS_PROXY: ${HTTPS_PROXY:-} + NO_PROXY: ${NO_PROXY:-localhost,127.0.0.1} + VLLM_API_KEY: ${VLLM_API_KEY:?VLLM_API_KEY must be set} + VLLM_ROUTER_VERSION: ${VLLM_ROUTER_VERSION:-0.1.14} + ROUTER_HOST: ${ROUTER_HOST:-0.0.0.0} + ROUTER_PORT: ${ROUTER_PORT:-8080} + VLLM_BACKEND_READY_TIMEOUT_SECONDS: ${VLLM_BACKEND_READY_TIMEOUT_SECONDS:-1800} + entrypoint: ["/bin/bash", "-c"] + command: + - | + set -e + mkdir -p /llm/logs + exec > >(tee -a /llm/logs/init.log) 2>&1 + source /opt/intel/oneapi/setvars.sh --force > /dev/null 2>&1 + + export http_proxy="$${HTTP_PROXY:-}" + export https_proxy="$${HTTPS_PROXY:-}" + export no_proxy="$${NO_PROXY:-localhost,127.0.0.1}" + export VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 + export VLLM_WORKER_MULTIPROC_METHOD=spawn + export VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=0 + + if ! command -v vllm-router >/dev/null 2>&1; then + echo "[vllm] installing vllm-router $$VLLM_ROUTER_VERSION" + pip install --quiet --no-cache-dir "vllm-router==$$VLLM_ROUTER_VERSION" + fi + + wait_for_backend() { + name="$1" + port="$2" + timeout_s="$$VLLM_BACKEND_READY_TIMEOUT_SECONDS" + deadline=$$((SECONDS + timeout_s)) + delay=5 + max_delay=30 + echo "[vllm] waiting for $$name on :$$port (timeout $${timeout_s}s)" + while true; do + if curl -fsS -H "Authorization: Bearer $$VLLM_API_KEY" "http://127.0.0.1:$$port/v1/models" >/dev/null 2>&1; then + echo "[vllm] $$name ready" + return 0 + fi + if [ "$$SECONDS" -ge "$$deadline" ]; then + echo "[vllm] timed out waiting for $$name after $${timeout_s}s" >&2 + return 1 + fi + echo "[vllm] $$name not ready yet; retrying in $${delay}s" + sleep "$$delay" + if [ "$$delay" -lt "$$max_delay" ]; then + delay=$$((delay * 2)) + if [ "$$delay" -gt "$$max_delay" ]; then + delay="$$max_delay" + fi + fi + done + } + + # Serial startup: bring embedding fully up before launching chat so the + # two models do not load at the same time and contend for GPU 0 memory. + echo "[vllm] starting embedding on :18104 (background)" + ( + export ZE_AFFINITY_MASK=0 + exec vllm serve /llm/models/KaLM-embedding-v2.5 \ + --served-model-name KaLM-embedding-v2.5 \ + --runner pooling --convert embed \ + --port 18104 --host 0.0.0.0 \ + --gpu-memory-util 0.15 \ + --trust-remote-code --disable-log-requests \ + --api-key $${VLLM_API_KEY:?VLLM_API_KEY must be set} \ + --dtype float16 --enforce-eager \ + > >(tee -a /llm/logs/vllm-embed.log | sed 's/^/[vllm-embed] /') 2>&1 + ) & + + wait_for_backend embed 18104 || echo "[vllm] embed not ready; starting chat anyway" + + echo "[vllm] starting chat on :18103 (background)" + ( + export ZE_AFFINITY_MASK=0,1,2,3 + exec vllm serve /llm/models/Qwen3-Coder-Next \ + --served-model-name Qwen3-Coder-Next \ + --port 18103 --host 0.0.0.0 \ + --tensor-parallel-size 4 \ + --quantization fp8 \ + --gpu-memory-util 0.85 \ + --max-num-batched-tokens 8192 \ + --max-model-len 262144 \ + --block-size 64 \ + --dtype float16 \ + --api-key $${VLLM_API_KEY:?VLLM_API_KEY must be set} \ + --tool-call-parser qwen3_coder \ + --default-chat-template-kwargs '{"enable_thinking": false}' \ + --enforce-eager \ + --trust-remote-code \ + --disable-log-requests \ + --enable-prefix-caching \ + --enable-auto-tool-choice \ + > >(tee -a /llm/logs/vllm-chat.log | sed 's/^/[vllm-chat] /') 2>&1 + ) & + + ( + wait_for_backend chat 18103 + wait_for_backend embed 18104 + + echo "[vllm] waiting for router on :$$ROUTER_PORT" + for i in $(seq 1 60); do + curl -fsS -H "Authorization: Bearer $$VLLM_API_KEY" \ + "http://127.0.0.1:$$ROUTER_PORT/v1/models" >/dev/null 2>&1 && break + sleep 1 + done + + echo "[vllm] registering chat backend" + curl -fsS -X POST -H "Authorization: Bearer $$VLLM_API_KEY" \ + -H 'Content-Type: application/json' \ + "http://127.0.0.1:$$ROUTER_PORT/workers" \ + -d '{"url":"http://127.0.0.1:18103","model_id":"Qwen3-Coder-Next"}' \ + | sed 's/^/[init] /' || true + echo + + echo "[vllm] registering embed backend" + curl -fsS -X POST -H "Authorization: Bearer $$VLLM_API_KEY" \ + -H 'Content-Type: application/json' \ + "http://127.0.0.1:$$ROUTER_PORT/workers" \ + -d '{"url":"http://127.0.0.1:18104","model_id":"KaLM-embedding-v2.5"}' \ + | sed 's/^/[init] /' || true + echo + ) & + + echo "[vllm] starting vllm-router on :$$ROUTER_PORT (foreground, enable-igw)" + exec vllm-router \ + --host "$$ROUTER_HOST" --port "$$ROUTER_PORT" \ + --enable-igw --policy round_robin \ + --api-key "$${VLLM_API_KEY}" \ + > >(tee -a /llm/logs/router.log | sed 's/^/[router] /') 2>&1 + healthcheck: + test: + - CMD-SHELL + - | + curl -sf -H "Authorization: Bearer $${VLLM_API_KEY:?VLLM_API_KEY must be set}" \ + "http://127.0.0.1:$${ROUTER_PORT:-8080}/v1/models" \ + | grep -q Qwen3-Coder-Next \ + && curl -sf -H "Authorization: Bearer $${VLLM_API_KEY:?VLLM_API_KEY must be set}" \ + "http://127.0.0.1:$${ROUTER_PORT:-8080}/v1/models" \ + | grep -q KaLM-embedding-v2.5 \ + || exit 1 + interval: 10s + timeout: 5s + retries: 120 + start_period: 300s + restart: unless-stopped diff --git a/superclaw-ctl/src/superclaw_ctl/vllm_models.json b/superclaw-ctl/src/superclaw_ctl/vllm_models.json new file mode 100644 index 00000000..ed98fb42 --- /dev/null +++ b/superclaw-ctl/src/superclaw_ctl/vllm_models.json @@ -0,0 +1,35 @@ +{ + "active_chat_model": "qwen3-coder-next", + "active_embedding_model": "kalm-embedding-v2.5", + "models": [ + { + "id": "qwen3-coder-next", + "name": "Qwen3-Coder-Next", + "role": "chat", + "repo": "Qwen/Qwen3-Coder-Next", + "revision": "main", + "local_dir_name": 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deletions(-) delete mode 100644 superclaw-ctl/README.md delete mode 100644 superclaw-ctl/src/superclaw_ctl/templates/docker-compose.vllm.yml create mode 100644 superclaw/superclaw-ctl/packaging/README.md rename {superclaw-ctl => superclaw/superclaw-ctl}/packaging/build.sh (99%) rename {superclaw-ctl => superclaw/superclaw-ctl}/packaging/pyinstaller/entry.py (100%) rename {superclaw-ctl => superclaw/superclaw-ctl}/packaging/pyinstaller/superclaw-ctl.spec (100%) rename {superclaw-ctl => superclaw/superclaw-ctl}/pyproject.toml (97%) rename {superclaw-ctl => superclaw/superclaw-ctl}/src/superclaw_ctl/__init__.py (76%) rename {superclaw-ctl => superclaw/superclaw-ctl}/src/superclaw_ctl/__main__.py (100%) rename {superclaw-ctl => superclaw/superclaw-ctl}/src/superclaw_ctl/checks.py (60%) rename {superclaw-ctl => superclaw/superclaw-ctl}/src/superclaw_ctl/cli.py (58%) rename {superclaw-ctl => superclaw/superclaw-ctl}/src/superclaw_ctl/compose.py (100%) rename {superclaw-ctl => superclaw/superclaw-ctl}/src/superclaw_ctl/config.py (93%) rename {superclaw-ctl => superclaw/superclaw-ctl}/src/superclaw_ctl/display.py (69%) rename {superclaw-ctl => superclaw/superclaw-ctl}/src/superclaw_ctl/docker.py (100%) rename {superclaw-ctl => superclaw/superclaw-ctl}/src/superclaw_ctl/download.py (55%) rename {superclaw-ctl => superclaw/superclaw-ctl}/src/superclaw_ctl/errors.py (100%) rename {superclaw-ctl => superclaw/superclaw-ctl}/src/superclaw_ctl/gpu.py (100%) rename {superclaw-ctl => superclaw/superclaw-ctl}/src/superclaw_ctl/health.py (50%) rename {superclaw-ctl => superclaw/superclaw-ctl}/src/superclaw_ctl/models.py (100%) rename {superclaw-ctl => superclaw/superclaw-ctl}/src/superclaw_ctl/registry.py (93%) rename {superclaw-ctl => superclaw/superclaw-ctl}/src/superclaw_ctl/secrets.py (95%) rename {superclaw-ctl => superclaw/superclaw-ctl}/src/superclaw_ctl/templates/__init__.py (100%) create mode 100644 superclaw/superclaw-ctl/src/superclaw_ctl/templates/docker-compose.vllm.yml rename {superclaw-ctl => superclaw/superclaw-ctl}/src/superclaw_ctl/vllm_models.json (92%) rename {superclaw-ctl => superclaw/superclaw-ctl}/uv.lock (99%) diff --git a/superclaw-ctl/README.md b/superclaw-ctl/README.md deleted file mode 100644 index 92af73a3..00000000 --- a/superclaw-ctl/README.md +++ /dev/null @@ -1,199 +0,0 @@ -# superclaw-ctl - -CLI tool for managing SuperClaw vLLM model serving on Linux servers with Intel Arc GPUs. - -## Prerequisites - -- Python 3.11+ with [`uv`](https://docs.astral.sh/uv/) -- Docker >= 24.0 -- Docker Compose >= 2.24 -- Intel Arc GPUs with `/dev/dri` access (for vLLM) -- Model weights at `~/.models/` (configurable via `superclaw-ctl config set paths.models_dir `) - -## Install - -```bash -# From the repo (development) -cd tools/superclaw-ctl -uv sync --extra dev - -# Run directly -uv run superclaw-ctl --help -``` - -## Quick Start - -```bash -# 1. Initialize — checks environment, detects GPUs, downloads models, generates API keys -superclaw-ctl init - -# 2. Start containers (override router port with --router-port if needed) -superclaw-ctl up - -# 3. Check health -superclaw-ctl status - -# 4. View logs -superclaw-ctl logs -f - -# 5. Stop containers -superclaw-ctl down -``` - -After `superclaw-ctl up` succeeds, vllm-router is available on the configured -router port (default `8080`): - -``` -╭──────────────────────────── Connection ─────────────────────────────╮ -│ URL: http://10.107.234.27:8080 │ -│ vLLM Chat: 10.107.234.27:18103 │ -│ vLLM Embed: 10.107.234.27:18104 │ -│ vLLM Model Router: 10.107.234.27:8080 │ -│ Token: eJUs... │ -╰─────────────────────────────────────────────────────────────────────╯ -``` - -Use the **URL** (`/v1/chat/completions` and `/v1/embeddings`) in any OpenAI-compatible client. -If you start with a non-default port (for example `superclaw-ctl up --router-port 9090`), -use the same `--router-port` value when running `superclaw-ctl status`. - -The router runs in IGW mode and registers the chat and embedding workers with -their model IDs so requests land on the right backend. - -### Verify the model service with curl - -```bash -# Get the token (unredacted) -TOKEN=$(uv run superclaw-ctl keys show --reveal | grep vllm_api_key | awk '{print $NF}') -ROUTER_PORT=8080 - -# List models via model service (proxied to :18103) -curl -s -H "Authorization: Bearer $TOKEN" \ - http://127.0.0.1:$ROUTER_PORT/v1/models | jq . - -# Chat completion via model service -curl -s -H "Authorization: Bearer $TOKEN" \ - -H "Content-Type: application/json" \ - -d '{"model":"Qwen3-Coder-Next","messages":[{"role":"user","content":"Say hi in one short sentence."}]}' \ - http://127.0.0.1:$ROUTER_PORT/v1/chat/completions | jq . - -# Embeddings via model service (proxied to :18104) -curl -s -H "Authorization: Bearer $TOKEN" \ - -H "Content-Type: application/json" \ - -d '{"model":"KaLM-embedding-v2.5","input":"SuperClaw model service check"}' \ - http://127.0.0.1:$ROUTER_PORT/v1/embeddings | jq . -``` - -## Commands - -| Command | Description | -|---|---| -| `init` | Check environment, detect GPUs, download models, generate keys, save config | -| `up [--router-port PORT] [--timeout SECONDS]` | Start vLLM container (with vllm-router), wait for backend+router readiness | -| `down` | Stop and remove containers | -| `restart [service]` | Restart vllm | -| `status [--router-port PORT]` | Show container states, health checks, and endpoints | -| `logs [service] [-f] [--tail N]` | Show/follow container logs (default tail: 200 lines) | -| `pull` | Pull vLLM image | -| `models list` | List models in models directory with metadata | -| `models info ` | Show detailed model info | -| `doctor` | Run diagnostics without changing state | -| `config show` | Show effective config (secrets redacted) | -| `config set ` | Update a config value | -| `keys show [--reveal]` | Show stored API keys | -| `keys rotate` | Generate new API keys | -| `clean containers` | Remove containers | -| `clean images` | Remove docker images | -| `clean volumes` | Remove docker volumes | -| `clean config` | Remove config directory | -| `clean all [--dry-run]` | Remove everything | -| `version` | Show CLI, Docker, and Compose versions | - -## Configuration - -Config is stored at `~/.config/superclaw-ctl/`: - -| File | Purpose | Permissions | -|------|---------|-------------| -| `config.toml` | Non-secret settings (mode, image refs, paths) | 0644 | -| `secrets.toml` | vLLM API key | 0600 | - -### Environment Variable Overrides - -| Variable | Overrides | -|---|---| -| `SUPERCLAW_VLLM_API_KEY` | secrets.vllm_api_key | -| `SUPERCLAW_MODELS_DIR` | config.paths.models_dir | -| `SUPERCLAW_ALLOW_DEMO_KEY` | When truthy (`1`/`true`/`yes`/`on`), allows known demo/weak tokens (e.g. `intel123`). Empty keys are still rejected. Intended for local testing only. | - -### Proxy Support - -`superclaw-ctl up` passes `HTTP_PROXY`/`HTTPS_PROXY` (or lowercase `http_proxy`/`https_proxy`) to the Docker Compose environment. Set these on the host if the vLLM container needs outbound internet access. - -Model downloads during `init` also respect `HTTP_PROXY`/`HTTPS_PROXY` and `HF_ENDPOINT` (for HuggingFace mirror sites). - -By default, vLLM logs are written under `~/.config/superclaw-ctl/logs/` alongside the rest of the CLI state. Override `config.paths.logs_dir` if you want them elsewhere. - -`superclaw-ctl up --timeout` controls both the CLI readiness probes and the in-container -backend wait budget (`VLLM_BACKEND_READY_TIMEOUT_SECONDS`), so one value keeps startup -timeouts aligned. - -## Compose File Location - -`superclaw-ctl` always uses compose files from `~/.config/superclaw-ctl/compose/` (the directory written by `superclaw-ctl init`). The path can be changed via `config.paths.compose_dir` in `config.toml`. - -### Compose overrides (`config.compose.extra_files`) - -Use `config.compose.extra_files` to add extra Compose `-f` files (for local overrides/patches) on top of `docker-compose.vllm.yml`. - -```bash -# Set as JSON because this key is a list -uv run superclaw-ctl config set compose.extra_files '["compose.override.yml","/opt/superclaw/custom.yml"]' -``` - -- Relative paths are resolved from `config.paths.compose_dir`. -- Absolute paths are used as-is. -- To clear overrides: - -```bash -uv run superclaw-ctl config set compose.extra_files '[]' -``` - -> **Note:** `superclaw-ctl` targets vLLM-only serving and does not manage an application container. - -## Testing - -```bash -# Unit tests (works on Windows/macOS, no Docker needed) -cd tools/superclaw-ctl -uv run pytest tests/ -v - -# With coverage -uv run pytest tests/ --cov=superclaw_ctl --cov-report=term-missing -``` - -## Manual Smoke Test (on Linux server) - -```bash -cd tools/superclaw-ctl -uv sync --extra dev - -uv run superclaw-ctl init -uv run superclaw-ctl doctor -uv run superclaw-ctl up -uv run superclaw-ctl status -uv run superclaw-ctl models list -uv run superclaw-ctl keys show -uv run superclaw-ctl logs --tail 5 -uv run superclaw-ctl restart vllm -uv run superclaw-ctl version -uv run superclaw-ctl down -``` - -## Troubleshooting - -| Symptom | Cause | Fix | -|---------|-------|-----| -| `up` hangs for 5+ min | vLLM model loading is slow on first start | Wait — subsequent starts use cached weights | -| 401 on model service endpoints | Missing or wrong bearer token | Use the token from `superclaw-ctl keys show --reveal` | -| `status` shows router unhealthy | vLLM container still starting or router failed to initialize | Wait a moment and retry; check `superclaw-ctl logs` | diff --git a/superclaw-ctl/src/superclaw_ctl/templates/docker-compose.vllm.yml b/superclaw-ctl/src/superclaw_ctl/templates/docker-compose.vllm.yml deleted file mode 100644 index 2e19169b..00000000 --- a/superclaw-ctl/src/superclaw_ctl/templates/docker-compose.vllm.yml +++ /dev/null @@ -1,168 +0,0 @@ -# Standalone vLLM-only compose template. -# Generated by superclaw-ctl init. Edit as needed. -# -# Start: docker compose -f docker-compose.vllm.yml up -d -# Stop: docker compose -f docker-compose.vllm.yml down - -services: - vllm: - container_name: qwen-vllm - image: ${VLLM_IMAGE:-intel/llm-scaler-vllm:0.14.0-b8.3} - network_mode: host - ipc: host - privileged: true - shm_size: "32gb" - devices: - - /dev/dri:/dev/dri - volumes: - - ${LOCAL_MODELS_DIR:-/models}:/llm/models - - ${LOCAL_LOGS_DIR:-/home/user/qwen-vllm-logs}:/llm/logs - environment: - HTTP_PROXY: ${HTTP_PROXY:-} - HTTPS_PROXY: ${HTTPS_PROXY:-} - NO_PROXY: ${NO_PROXY:-localhost,127.0.0.1} - VLLM_API_KEY: ${VLLM_API_KEY:?VLLM_API_KEY must be set} - VLLM_ROUTER_VERSION: ${VLLM_ROUTER_VERSION:-0.1.14} - ROUTER_HOST: ${ROUTER_HOST:-0.0.0.0} - ROUTER_PORT: ${ROUTER_PORT:-8080} - VLLM_BACKEND_READY_TIMEOUT_SECONDS: ${VLLM_BACKEND_READY_TIMEOUT_SECONDS:-1800} - entrypoint: ["/bin/bash", "-c"] - command: - - | - set -e - mkdir -p /llm/logs - exec > >(tee -a /llm/logs/init.log) 2>&1 - source /opt/intel/oneapi/setvars.sh --force > /dev/null 2>&1 - - export http_proxy="$${HTTP_PROXY:-}" - export https_proxy="$${HTTPS_PROXY:-}" - export no_proxy="$${NO_PROXY:-localhost,127.0.0.1}" - export VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 - export VLLM_WORKER_MULTIPROC_METHOD=spawn - export VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=0 - - if ! command -v vllm-router >/dev/null 2>&1; then - echo "[vllm] installing vllm-router $$VLLM_ROUTER_VERSION" - pip install --quiet --no-cache-dir "vllm-router==$$VLLM_ROUTER_VERSION" - fi - - wait_for_backend() { - name="$1" - port="$2" - timeout_s="$$VLLM_BACKEND_READY_TIMEOUT_SECONDS" - deadline=$$((SECONDS + timeout_s)) - delay=5 - max_delay=30 - echo "[vllm] waiting for $$name on :$$port (timeout $${timeout_s}s)" - while true; do - if curl -fsS -H "Authorization: Bearer $$VLLM_API_KEY" "http://127.0.0.1:$$port/v1/models" >/dev/null 2>&1; then - echo "[vllm] $$name ready" - return 0 - fi - if [ "$$SECONDS" -ge "$$deadline" ]; then - echo "[vllm] timed out waiting for $$name after $${timeout_s}s" >&2 - return 1 - fi - echo "[vllm] $$name not ready yet; retrying in $${delay}s" - sleep "$$delay" - if [ "$$delay" -lt "$$max_delay" ]; then - delay=$$((delay * 2)) - if [ "$$delay" -gt "$$max_delay" ]; then - delay="$$max_delay" - fi - fi - done - } - - # Serial startup: bring embedding fully up before launching chat so the - # two models do not load at the same time and contend for GPU 0 memory. - echo "[vllm] starting embedding on :18104 (background)" - ( - export ZE_AFFINITY_MASK=0 - exec vllm serve /llm/models/KaLM-embedding-v2.5 \ - --served-model-name KaLM-embedding-v2.5 \ - --runner pooling --convert embed \ - --port 18104 --host 0.0.0.0 \ - --gpu-memory-util 0.15 \ - --trust-remote-code --disable-log-requests \ - --api-key $${VLLM_API_KEY:?VLLM_API_KEY must be set} \ - --dtype float16 --enforce-eager \ - > >(tee -a /llm/logs/vllm-embed.log | sed 's/^/[vllm-embed] /') 2>&1 - ) & - - wait_for_backend embed 18104 || echo "[vllm] embed not ready; starting chat anyway" - - echo "[vllm] starting chat on :18103 (background)" - ( - export ZE_AFFINITY_MASK=0,1,2,3 - exec vllm serve /llm/models/Qwen3-Coder-Next \ - --served-model-name Qwen3-Coder-Next \ - --port 18103 --host 0.0.0.0 \ - --tensor-parallel-size 4 \ - --quantization fp8 \ - --gpu-memory-util 0.85 \ - --max-num-batched-tokens 8192 \ - --max-model-len 262144 \ - --block-size 64 \ - --dtype float16 \ - --api-key $${VLLM_API_KEY:?VLLM_API_KEY must be set} \ - --tool-call-parser qwen3_coder \ - --default-chat-template-kwargs '{"enable_thinking": false}' \ - --enforce-eager \ - --trust-remote-code \ - --disable-log-requests \ - --enable-prefix-caching \ - --enable-auto-tool-choice \ - > >(tee -a /llm/logs/vllm-chat.log | sed 's/^/[vllm-chat] /') 2>&1 - ) & - - ( - wait_for_backend chat 18103 - wait_for_backend embed 18104 - - echo "[vllm] waiting for router on :$$ROUTER_PORT" - for i in $(seq 1 60); do - curl -fsS -H "Authorization: Bearer $$VLLM_API_KEY" \ - "http://127.0.0.1:$$ROUTER_PORT/v1/models" >/dev/null 2>&1 && break - sleep 1 - done - - echo "[vllm] registering chat backend" - curl -fsS -X POST -H "Authorization: Bearer $$VLLM_API_KEY" \ - -H 'Content-Type: application/json' \ - "http://127.0.0.1:$$ROUTER_PORT/workers" \ - -d '{"url":"http://127.0.0.1:18103","model_id":"Qwen3-Coder-Next"}' \ - | sed 's/^/[init] /' || true - echo - - echo "[vllm] registering embed backend" - curl -fsS -X POST -H "Authorization: Bearer $$VLLM_API_KEY" \ - -H 'Content-Type: application/json' \ - "http://127.0.0.1:$$ROUTER_PORT/workers" \ - -d '{"url":"http://127.0.0.1:18104","model_id":"KaLM-embedding-v2.5"}' \ - | sed 's/^/[init] /' || true - echo - ) & - - echo "[vllm] starting vllm-router on :$$ROUTER_PORT (foreground, enable-igw)" - exec vllm-router \ - --host "$$ROUTER_HOST" --port "$$ROUTER_PORT" \ - --enable-igw --policy round_robin \ - --api-key "$${VLLM_API_KEY}" \ - > >(tee -a /llm/logs/router.log | sed 's/^/[router] /') 2>&1 - healthcheck: - test: - - CMD-SHELL - - | - curl -sf -H "Authorization: Bearer $${VLLM_API_KEY:?VLLM_API_KEY must be set}" \ - "http://127.0.0.1:$${ROUTER_PORT:-8080}/v1/models" \ - | grep -q Qwen3-Coder-Next \ - && curl -sf -H "Authorization: Bearer $${VLLM_API_KEY:?VLLM_API_KEY must be set}" \ - "http://127.0.0.1:$${ROUTER_PORT:-8080}/v1/models" \ - | grep -q KaLM-embedding-v2.5 \ - || exit 1 - interval: 10s - timeout: 5s - retries: 120 - start_period: 300s - restart: unless-stopped diff --git a/superclaw/superclaw-ctl/USER-GUIDE.md b/superclaw/superclaw-ctl/USER-GUIDE.md index ede00884..fe0583ba 100644 --- a/superclaw/superclaw-ctl/USER-GUIDE.md +++ b/superclaw/superclaw-ctl/USER-GUIDE.md @@ -17,15 +17,7 @@ Make sure the model-serving workstation has: | Requirement | Notes | |-------------|-------| -<<<<<<< HEAD -<<<<<<< HEAD | Ubuntu Linux x86_64 | Must run on the server host | -======= -| Linux x86_64 | Must run on the server host | ->>>>>>> cf521d5 (update ctl user guide) -======= -| Ubuntu Linux x86_64 | Must run on the server host | ->>>>>>> 8b8df34 (Minor updates to superclaw-ctl user guide) | Docker Engine with Compose plugin | `docker compose` must work | | Intel GPU | Tested on Intel® Arc B70 Pro | | Internet access | Required on first setup to pull images and download models | @@ -71,26 +63,14 @@ Keys generated. They will be shown once below: Key Value ------------------------------------------------------------ -<<<<<<< HEAD vllm_api_key -======= - vllm_api_key VjQyct_fyDjti48zoj82-BOGYF89y8traWASrDKlsyY ->>>>>>> cf521d5 (update ctl user guide) Config saved to /root/.config/superclaw-ctl ``` Copy and save the full `vllm_api_key`. This is the **connection key** for the SuperClaw Client App. -<<<<<<< HEAD -<<<<<<< HEAD -If you miss it, you can reveal it again later: -======= -If you miss it, reveal it again later: ->>>>>>> cf521d5 (update ctl user guide) -======= If you miss it, you can reveal it again later: ->>>>>>> 8b8df34 (Minor updates to superclaw-ctl user guide) ```bash superclaw-ctl keys show --reveal @@ -108,15 +88,9 @@ The first start can take several minutes while the models load. When startup suc ```text Connection -<<<<<<< HEAD URL: http://192.168.1.1:8080 vLLM Model Router: 192.168.1.1:8080 Token: ... -======= -URL: http://192.168.52.102:8080 -vLLM Model Router: 192.168.52.102:8080 -Token: VjQy... ->>>>>>> cf521d5 (update ctl user guide) ``` Copy the **URL**. The **Token** shown by `up` is shortened, so do not use it as the Client App connection key. Use the full `vllm_api_key` from `init` or `superclaw-ctl keys show --reveal`. diff --git a/superclaw/superclaw-ctl/packaging/README.md b/superclaw/superclaw-ctl/packaging/README.md new file mode 100644 index 00000000..dc49d91c --- /dev/null +++ b/superclaw/superclaw-ctl/packaging/README.md @@ -0,0 +1,73 @@ +# tools/superclaw-ctl/packaging + +Owns the build tooling for distributing `superclaw-ctl` as a single self-contained +binary. + +## Ownership + +| Area | Owner | +|------|-------| +| PyInstaller spec | platform/release team | +| Build script | platform/release team | + +**Allowed dependencies:** `pyinstaller` (build-only, via `[build]` optional-dep group). +Not allowed to add runtime deps here. + +## Layout + +``` +packaging/ + pyinstaller/ + entry.py # PyInstaller entry shim (calls superclaw_ctl.cli.app) + superclaw-ctl.spec # PyInstaller spec (onefile, strip, hidden imports, data files) + build.sh # Build script for the Linux server + README.md # This file +``` + +## Build + +PyInstaller **cannot cross-compile** — the binary must be built natively on Linux. + +```bash +cd /superclaw/superclaw-ctl +chmod +x packaging/build.sh +./packaging/build.sh + +# Output: dist/superclaw-ctl +``` + +### Prerequisites on the build host + +| Tool | Minimum | Install | +|------|---------|---------| +| Python | 3.11 | system / pyenv | +| uv | latest | `curl -LsSf https://astral.sh/uv/install.sh \| sh` | +| binutils (`strip`) | any | `sudo apt install binutils` | + +## Smoke test (run on the server after build) + +```bash +BINARY=dist/superclaw-ctl + +# Basic interface +$BINARY --help +$BINARY version +$BINARY models list +$BINARY config show +``` + +All commands should complete without `ModuleNotFoundError`. + +## glibc compatibility + +The binary is tied to the glibc of the build machine. Target machines must run +**the same or a newer glibc version** (distro). + +Current build baseline: **glibc 2.39** (Ubuntu 24.04). + +Check with: + +```bash +ldd --version # on the build machine +ldd dist/superclaw-ctl # shows minimum glibc requirement +``` diff --git a/superclaw-ctl/packaging/build.sh b/superclaw/superclaw-ctl/packaging/build.sh similarity index 99% rename from superclaw-ctl/packaging/build.sh rename to superclaw/superclaw-ctl/packaging/build.sh index 40595828..38689f18 100644 --- a/superclaw-ctl/packaging/build.sh +++ b/superclaw/superclaw-ctl/packaging/build.sh @@ -1,6 +1,8 @@ #!/usr/bin/env bash # build.sh — Build the superclaw-ctl single-file Linux binary with PyInstaller. # +# Run this on Linux +# # Prerequisites on the build host: # - Python 3.11+ # - uv (https://docs.astral.sh/uv/) diff --git a/superclaw-ctl/packaging/pyinstaller/entry.py b/superclaw/superclaw-ctl/packaging/pyinstaller/entry.py similarity index 100% rename from superclaw-ctl/packaging/pyinstaller/entry.py rename to superclaw/superclaw-ctl/packaging/pyinstaller/entry.py diff --git a/superclaw-ctl/packaging/pyinstaller/superclaw-ctl.spec b/superclaw/superclaw-ctl/packaging/pyinstaller/superclaw-ctl.spec similarity index 100% rename from superclaw-ctl/packaging/pyinstaller/superclaw-ctl.spec rename to superclaw/superclaw-ctl/packaging/pyinstaller/superclaw-ctl.spec diff --git a/superclaw-ctl/pyproject.toml b/superclaw/superclaw-ctl/pyproject.toml similarity index 97% rename from superclaw-ctl/pyproject.toml rename to superclaw/superclaw-ctl/pyproject.toml index 5e16bc18..47af0f65 100644 --- a/superclaw-ctl/pyproject.toml +++ b/superclaw/superclaw-ctl/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "superclaw-ctl" -version = "0.1.0" +version = "1.0.0" description = "CLI tool for managing SuperClaw vLLM model serving" readme = "README.md" requires-python = ">=3.11" diff --git a/superclaw-ctl/src/superclaw_ctl/__init__.py b/superclaw/superclaw-ctl/src/superclaw_ctl/__init__.py similarity index 76% rename from superclaw-ctl/src/superclaw_ctl/__init__.py rename to superclaw/superclaw-ctl/src/superclaw_ctl/__init__.py index 300c39b9..a5ce0938 100644 --- a/superclaw-ctl/src/superclaw_ctl/__init__.py +++ b/superclaw/superclaw-ctl/src/superclaw_ctl/__init__.py @@ -1,3 +1,3 @@ """superclaw-ctl — CLI for managing SuperClaw vLLM model serving.""" -__version__ = "0.1.0" +__version__ = "1.0.0" diff --git a/superclaw-ctl/src/superclaw_ctl/__main__.py b/superclaw/superclaw-ctl/src/superclaw_ctl/__main__.py similarity index 100% rename from superclaw-ctl/src/superclaw_ctl/__main__.py rename to superclaw/superclaw-ctl/src/superclaw_ctl/__main__.py diff --git a/superclaw-ctl/src/superclaw_ctl/checks.py b/superclaw/superclaw-ctl/src/superclaw_ctl/checks.py similarity index 60% rename from superclaw-ctl/src/superclaw_ctl/checks.py rename to superclaw/superclaw-ctl/src/superclaw_ctl/checks.py index 1b8f206b..6d97844d 100644 --- a/superclaw-ctl/src/superclaw_ctl/checks.py +++ b/superclaw/superclaw-ctl/src/superclaw_ctl/checks.py @@ -4,8 +4,10 @@ from dataclasses import dataclass from collections.abc import Sequence +from pathlib import Path from typing import Any, Literal, Protocol import re +import shutil import socket try: @@ -15,8 +17,9 @@ class DockerAdapter(Protocol): def run(self, argv: Sequence[str], *, timeout: float | None = None) -> Any: ... from .gpu import GPUInfo +from .registry import VllmModelEntry -_ARC_B70_PCI_ID = "E223" # Intel® Arc™ Pro B70 Graphics (PCIe ID = 8086:E223) +_ARC_B70_PCI_ID = "E223" # Intel® Arc™ Pro B70 Graphics (8086:E223, confirmed from dgpu-docs) _MIN_B70_COUNT = 4 # Minimum GPUs required (matches tensor_parallel_size in vllm_models.json) @@ -59,9 +62,6 @@ def _config_get(config: Any, dotted: str, default: Any = None) -> Any: return value -_REQUIRED_INTERNAL_SERVICE_PORTS = (18103, 18104) - - def check_docker(adapter: DockerAdapter) -> CheckResult: """Check Docker is installed and running, version >= 24.0.""" ok, text = _run_text(adapter, ["docker", "--version"]) @@ -89,7 +89,8 @@ def check_image_available(adapter: DockerAdapter, image: str) -> CheckResult: ok, _ = _run_text(adapter, ["docker", "image", "inspect", image]) if ok: return CheckResult(f"image:{image}", "pass", f"Image {image} is present locally.") - return CheckResult(f"image:{image}", "warn", f"Image {image} is not present locally.", "Run superclaw-ctl pull or docker pull before starting services.") + return CheckResult(f"image:{image}", "warn", f"Image {image} is not present locally.", + "Run superclaw-ctl pull or docker pull before starting services.") def check_registry_auth(adapter: DockerAdapter, image: str) -> CheckResult: @@ -98,7 +99,7 @@ def check_registry_auth(adapter: DockerAdapter, image: str) -> CheckResult: if ok: return CheckResult(f"registry:{image}", "pass", f"Registry access verified for {image}.") if any(token in text.lower() for token in ("unauthorized", "denied", "forbidden", "authentication")): - return CheckResult(f"registry:{image}", "fail", f"Registry authentication failed for {image}.", "Run docker login for the image registry.") + return CheckResult(f"registry:{image}", "fail", f"Registry authentication failed for {image}.","Run docker login for the image registry.") return CheckResult(f"registry:{image}", "warn", f"Could not verify registry access for {image}.", text) @@ -113,7 +114,8 @@ def check_ports_free(ports: list[int]) -> CheckResult: busy.append(port) if busy: joined = ", ".join(str(port) for port in busy) - return CheckResult("ports", "fail", f"Required ports are already in use: {joined}.", "Stop the conflicting service or reconfigure the ports.") + return CheckResult("ports", "fail", f"Required ports are already in use: {joined}.", + "Stop the conflicting service or specify a different port using --router-port .") return CheckResult("ports", "pass", "Required ports are free.") @@ -131,12 +133,102 @@ def check_gpu_minimum_requirements(gpus: list[GPUInfo]) -> CheckResult: return CheckResult("gpu_minimum", "pass", f"GPU minimum met: {count}x Intel Arc Pro B70 found.") +def check_disk_space(path: Path, required_bytes: int) -> CheckResult: + """Check that the filesystem containing path has at least required_bytes free. + + Walks up to the nearest existing ancestor of path before calling + shutil.disk_usage, so the check works even when the target directory + has not been created yet. + """ + from .models import format_size + + anchor = Path(path) + while not anchor.exists(): + parent = anchor.parent + if parent == anchor: + # Reached filesystem root without finding an existing path + return CheckResult( + "disk_space", + "fail", + "Could not determine disk usage: no existing ancestor found.", + f"Ensure the path {path} is on a mounted filesystem.", + ) + anchor = parent + + usage = shutil.disk_usage(anchor) + free = usage.free + required_str = format_size(required_bytes) + free_str = format_size(free) + + if free < required_bytes: + return CheckResult( + "disk_space", + "fail", + f"Insufficient disk space: {free_str} free, {required_str} required.", + f"Free up at least {required_str} on the volume containing {path}.", + ) + return CheckResult( + "disk_space", + "pass", + f"Disk space OK: {free_str} free, {required_str} required.", + ) + + +def check_model_integrity( + entry: VllmModelEntry, + models_dir: Path, + *, + issue_status: Literal["warn", "fail"] = "fail", +) -> CheckResult: + """Check model integrity (online-first with automatic local fallback).""" + check_name = f"model:{entry.id}" + result = _verify_model(entry, models_dir) + + if result.remote_matches is True: + return CheckResult(check_name, "pass", "Model integrity verified against HuggingFace.") + + if result.remote_matches is False: + detail = ( + f"Remote integrity mismatch: local revision {result.local_revision or 'unknown'} " + f"!= remote revision {result.remote_revision or 'unknown'}." + ) + return CheckResult( + check_name, + issue_status, + detail, + "Run `superclaw-ctl models download --model " + f"{entry.id}` to repair and re-sync this model.", + ) + + if result.local_valid and result.remote_matches is None: + suffix = f" ({result.error})" if result.error else "" + return CheckResult( + check_name, + "warn", + f"Remote verification unavailable; local integrity checks passed{suffix}", + "Check network/proxy and re-run for full online verification.", + ) + + return CheckResult( + check_name, + issue_status, + f"Model integrity check failed: {result.error or 'Unknown error.'}", + f"Run `superclaw-ctl models download --model {entry.id}` to repair this model.", + ) + + +def _verify_model(entry: VllmModelEntry, models_dir: Path): + from .download import verify_model + + return verify_model(entry, models_dir, check_remote=True) + + def run_all_checks(adapter: DockerAdapter, config: Any, *, router_port: int = 8080) -> list[CheckResult]: """Run all prerequisite checks and return results.""" images = [ _config_get(config, "images.vllm"), ] - ports = [*_REQUIRED_INTERNAL_SERVICE_PORTS, int(router_port)] + ports = [int(router_port)] results = [check_docker(adapter), check_compose(adapter), check_ports_free(ports)] for image in (image for image in images if image): results.append(check_image_available(adapter, image)) diff --git a/superclaw-ctl/src/superclaw_ctl/cli.py b/superclaw/superclaw-ctl/src/superclaw_ctl/cli.py similarity index 58% rename from superclaw-ctl/src/superclaw_ctl/cli.py rename to superclaw/superclaw-ctl/src/superclaw_ctl/cli.py index f6d9b8da..0c9a901d 100644 --- a/superclaw-ctl/src/superclaw_ctl/cli.py +++ b/superclaw/superclaw-ctl/src/superclaw_ctl/cli.py @@ -31,6 +31,7 @@ print_connection_info, print_error, print_gpu_info, + print_init_plan, print_keys, print_model_detail, print_models_table, @@ -60,6 +61,7 @@ Verbose = Annotated[bool, typer.Option("--verbose", "-v", help="Enable debug logging.")] _LOCAL_NO_PROXY_TARGETS = ("localhost", "127.0.0.1") +_RESERVED_INTERNAL_ROUTER_PORTS = (18103, 18104) def _handle_error(exc: SuperclawCtlError) -> None: @@ -96,6 +98,13 @@ def _compose_env( env["VLLM_BACKEND_READY_TIMEOUT_SECONDS"] = str(backend_ready_timeout_seconds) if router_port is not None: env["ROUTER_PORT"] = str(router_port) + watchdog = config.vllm.watchdog + env["SUPERCLAW_WATCHDOG_ENABLED"] = "true" if watchdog.enabled else "false" + env["SUPERCLAW_WATCHDOG_INTERVAL_S"] = str(watchdog.interval_s) + env["SUPERCLAW_WATCHDOG_FAILURES"] = str(watchdog.consecutive_failures) + env["SUPERCLAW_WATCHDOG_CANARY_EXPECTED"] = watchdog.canary_expected + env["SUPERCLAW_WATCHDOG_MAX_RESTARTS"] = str(watchdog.max_restart_attempts) + env["SUPERCLAW_WATCHDOG_RESTART_WINDOW_MINUTES"] = str(watchdog.restart_window_minutes) return env @@ -204,21 +213,248 @@ def _get_host_ip() -> str: # ─── init ─────────────────────────────────────────────────────────────────── +_DEFAULT_MODELS_DIR = "~/.models" +# Approximate on-disk size of the vLLM Docker image when not yet pulled locally. +_VLLM_IMAGE_SIZE_BYTES_APPROX = 15 * 1024 ** 3 # ~15 GB for llm-scaler-vllm + + +def _validate_models_dir(models_dir: str) -> str | None: + """Return an error message if models_dir cannot be used as a models directory, else None. + + Checks that the path string is non-empty, any existing target is a + directory, and that the nearest existing directory ancestor is writable + and searchable by the current user. + """ + if not models_dir.strip(): + return "Models directory path cannot be empty." + + path = Path(models_dir).expanduser() + if path.exists() and not path.is_dir(): + return f"Models directory path exists but is not a directory: {path}" + + # Reject paths where any existing intermediate component is a non-directory, + # e.g. /file/models where /file is an existing file. + parent = path.parent + while parent != parent.parent: + if parent.exists() and not parent.is_dir(): + return f"Models directory path has a non-directory parent: {parent}" + parent = parent.parent + + anchor = path + while not anchor.exists() or not anchor.is_dir(): + parent = anchor.parent + if parent == anchor: + return f"Cannot find a valid filesystem for: {path}" + anchor = parent + + if not os.access(anchor, os.W_OK | os.X_OK): + return f"Directory is not writable/traversable: {anchor}" + + return None + + +def _model_download_status(entry, models_dir: Path) -> tuple[str, int]: + """Return (status, bytes_to_download) for a model. + + status: 'present' | 'incomplete' | 'missing' + bytes_to_download: + - present -> 0 (nothing to fetch) + - missing -> size_bytes_approx (full download expected) + - incomplete -> max(0, size_bytes_approx - actual_on_disk) + snapshot_download is incremental (SHA-checked per file), so only the + missing shards will actually be fetched, not the full model again. + + NOTE: size_bytes_approx must be kept within ~15% of reality in + vllm_models.json to avoid false positives from the 85% threshold check. + """ + from superclaw_ctl.download import snapshot_looks_complete + from superclaw_ctl.models import get_dir_size + + approx = getattr(entry, "size_bytes_approx", 0) + local_dir = models_dir / entry.local_dir_name + + if not local_dir.exists(): + return "missing", approx + + if not snapshot_looks_complete(local_dir): + return "incomplete", approx + + # Size-based sanity check: if an expected size is recorded and the actual + # directory is less than 85% of it, assume the download is incomplete + if approx > 0: + actual = get_dir_size(local_dir) + if actual < approx * 0.85: + return "incomplete", max(0, approx - actual) + + return "present", 0 + + +def _image_is_present(adapter, image: str) -> bool: + """Return True if the Docker image is already available locally.""" + try: + result = adapter.run(["docker", "image", "inspect", image]) + return getattr(result, "returncode", 1) == 0 + except Exception: + return False + + +def _docker_data_root(adapter) -> Path | None: + """Return Docker's data-root path when discoverable, else None.""" + try: + result = adapter.run(["docker", "info", "--format", "{{.DockerRootDir}}"]) + root = str(getattr(result, "stdout", "")).strip() + if not root: + return None + return Path(root).expanduser() + except Exception: + return None + + +def _expected_router_models() -> tuple[str, ...]: + """Return expected router model IDs from the active vLLM registry models.""" + from superclaw_ctl.registry import load_registry + + registry = load_registry() + expected: list[str] = [] + for model in registry.get_active_models(): + served = model.vllm_args.get("served_model_name") + if isinstance(served, str) and served.strip(): + expected.append(served.strip()) + continue + if model.local_dir_name.strip(): + expected.append(model.local_dir_name.strip()) + continue + if model.id.strip(): + expected.append(model.id.strip()) + + if expected: + return tuple(dict.fromkeys(expected)) + return ("Qwen3-Coder-Next", "KaLM-embedding-v2.5") + + @app.command() def init( - models_dir: Annotated[str, typer.Option("--models-dir", help="Path to models directory.")] = "~/.models", + models_dir: Annotated[Optional[str], typer.Option("--models-dir", help="Path to models directory (default: ~/.models).")] = None, skip_models: Annotated[bool, typer.Option("--skip-models", help="Skip model download (offline use).")] = False, + yes: Annotated[bool, typer.Option("--yes", "-y", help="Skip confirmation prompts (non-interactive / CI mode).")] = False, verbose: Verbose = False, ) -> None: """Initialize superclaw-ctl: check environment, generate keys, download models, save config.""" - from superclaw_ctl.checks import check_compose, check_docker, check_gpu_minimum_requirements + from superclaw_ctl.checks import CheckResult, check_compose, check_disk_space, check_docker, check_gpu_minimum_requirements from superclaw_ctl.gpu import check_gpu_access, detect_gpus + from superclaw_ctl.registry import load_registry from superclaw_ctl.secrets import generate_key adapter = _get_adapter() console.print(_BANNER, markup=False, highlight=False) - # Check prerequisites + # ── Resolve models directory ────────────────────────────────────────────── + # If --models-dir was not provided, either prompt the user or use the default. + if models_dir is None: + if yes: + models_dir = _DEFAULT_MODELS_DIR + error = _validate_models_dir(models_dir) + if error: + print_error(error, hint="Set a writable path with --models-dir.") + raise typer.Exit(1) + else: + while True: + models_dir = typer.prompt( + "Where should models be stored? Press enter to use default", + default=_DEFAULT_MODELS_DIR, + ) + error = _validate_models_dir(models_dir) + if error is None: + break + print_error(error, hint="Enter a path on a writable filesystem.") + + # When --models-dir is provided explicitly, validate once and abort on failure. + else: + error = _validate_models_dir(models_dir) + if error: + print_error(error, hint="Provide a path on a writable filesystem.") + raise typer.Exit(1) + + # ── Pre-flight confirmation screen ─────────────────────────────────────── + registry = load_registry() + active_models = registry.get_active_models() + config_default = Config() + vllm_image = config_default.images.vllm + images_to_pull = [vllm_image] + models_path = Path(models_dir).expanduser() + + # Determine per-model download status and which models actually need downloading. + if not skip_models: + _status_map = {m.id: _model_download_status(m, models_path) for m in active_models} + model_statuses = {mid: s for mid, (s, _) in _status_map.items()} + model_bytes = {mid: b for mid, (_, b) in _status_map.items()} + models_to_download = [m for m in active_models if model_statuses[m.id] != "present"] + else: + model_statuses = {m.id: "skipped" for m in active_models} + model_bytes = {m.id: 0 for m in active_models} + models_to_download = [] + + # Check whether the Docker image is already pulled locally. + image_present = _image_is_present(adapter, vllm_image) + + # Disk checks should target the filesystem that will store each artifact: + # model files -> models path volume, Docker image layers -> Docker data-root volume. + model_bytes_to_download = sum(model_bytes[m.id] for m in models_to_download) + checks: list[tuple[str, CheckResult]] = [] + if model_bytes_to_download > 0: + checks.append(("models", check_disk_space(models_path, model_bytes_to_download))) + if not image_present: + docker_root = _docker_data_root(adapter) + if docker_root is not None: + checks.append(("docker image", check_disk_space(docker_root, _VLLM_IMAGE_SIZE_BYTES_APPROX))) + else: + checks.append( + ( + "docker image", + CheckResult( + "docker_data_root", + "warn", + "Could not determine Docker data-root path; image disk pre-check skipped.", + f"Ensure Docker storage has at least ~{_VLLM_IMAGE_SIZE_BYTES_APPROX // (1024 ** 3)} GB free.", + ), + ) + ) + + if checks: + status_rank = {"pass": 0, "warn": 1, "fail": 2} + worst = max((status_rank.get(c.status, 1) for _, c in checks), default=0) + merged_status = {0: "pass", 1: "warn", 2: "fail"}[worst] + merged_message = " | ".join(f"{label}: {c.message}" for label, c in checks) + merged_hint = " | ".join(c.hint for _, c in checks if c.hint) + disk_check = CheckResult("disk_space", merged_status, merged_message, merged_hint) + else: + disk_check = None # Nothing to download — skip disk check entirely + + print_init_plan( + models_dir=models_dir, + models=active_models, + disk_check=disk_check, + images=images_to_pull, + image_size_bytes_approx=_VLLM_IMAGE_SIZE_BYTES_APPROX, + config_dir=str(get_config_dir()), + models_dir_will_be_created=not models_path.exists(), + model_statuses=model_statuses, + model_bytes=model_bytes, + image_present=image_present, + skip_models=skip_models, + ) + + if disk_check is not None and disk_check.status == "fail": + print_error(disk_check.message, hint=disk_check.hint) + raise typer.Exit(1) + + if not yes: + confirmed = typer.confirm("Proceed with initialization?", default=False) + if not confirmed: + console.print("[dim]Initialization cancelled.[/dim]") + raise typer.Exit(0) + + # ── Check prerequisites ─────────────────────────────────────────────────── console.print("\n[bold]Checking prerequisites...[/bold]") docker_check = check_docker(adapter) compose_check = check_compose(adapter) @@ -261,13 +497,11 @@ def init( if not skip_models: console.print("\n[bold]Downloading models...[/bold]") from superclaw_ctl.download import download_model - from superclaw_ctl.registry import load_registry - registry = load_registry() models_path = Path(models_dir).expanduser() models_path.mkdir(parents=True, exist_ok=True) - for entry in registry.get_active_models(): + for entry in active_models: result = download_model( entry, models_path, @@ -303,6 +537,7 @@ def init( paths=config.paths.model_copy(update={"models_dir": models_dir}), ) _extract_templates(config) + _touch_log_files(config) # Save save_config(config) @@ -336,6 +571,25 @@ def _extract_templates(config: Config) -> None: print_success(f"Compose templates written to {compose_dir}") +# Log files written by the bundled compose template (docker-compose.vllm.yml) +_COMPOSE_LOG_FILES = ["init.log", "vllm-embed.log", "vllm-chat.log", "router.log"] +_WATCHDOG_STATE_FILE = ".watchdog_state" + +def _touch_log_files(config: Config) -> None: + """Pre-create log files owned by the current user inside logs_dir.""" + logs_dir = Path(config.paths.logs_dir).expanduser() + logs_dir.mkdir(parents=True, exist_ok=True) + for name in _COMPOSE_LOG_FILES: + (logs_dir / name).touch() + # Pre-create the watchdog state file as the host user so Docker doesn't create + # it as root on first write, which would leave a root-owned artifact under + # logs_dir that the host user can't delete. Don't overwrite on re-init so + # restart history is preserved across init runs. + state_file = logs_dir / _WATCHDOG_STATE_FILE + if not state_file.exists(): + state_file.write_text('{"attempts": 0}', encoding="utf-8") + + # ─── up ───────────────────────────────────────────────────────────────────── @app.command() @@ -362,6 +616,13 @@ def up( ) services = ["vllm"] + if router_port in _RESERVED_INTERNAL_ROUTER_PORTS: + print_error( + f"Router port {router_port} is reserved by internal vLLM backends.", + hint="Choose a different --router-port (for example 8080 or 9090).", + ) + raise typer.Exit(1) + rendered = project.render_config() # Compare against the expanded path: _compose_env injects the expanded # LOCAL_MODELS_DIR, so a `~`-prefixed config value would never match the @@ -379,7 +640,25 @@ def up( if verbose: console.print(f"[dim]Using models directory from config: {configured_models_dir}[/dim]") + # Pre-flight: ensure the router port is free before starting containers. + # If the stack is already running, docker-proxy will hold the port and we + # should allow the rerun rather than flagging our own container as a conflict. + from superclaw_ctl.checks import check_ports_free + try: + existing_containers = project.ps() + except SuperclawCtlError as exc: + _handle_error(exc) + return + if not existing_containers: + port_check = check_ports_free([router_port]) + if port_check.status == "fail": + print_error(port_check.message, hint=port_check.hint) + raise typer.Exit(1) + console.print("[bold]Starting containers...[/bold]") + # Reset watchdog state so the restart budget starts fresh on an intentional `up`. + # Warn if we're recovering from a max-restarts situation so the operator is aware. + _reset_watchdog_state(config) try: # compose.up() streams output and blocks until depends_on: service_healthy # is satisfied (which can take ~5 min for vLLM to load its model). @@ -388,57 +667,26 @@ def up( _handle_error(exc) return - # Wait for full runtime readiness (chat, embed, and router). - from superclaw_ctl.health import wait_for_healthy + # Wait for router readiness (router broadcast both models) + from superclaw_ctl.health import wait_for_router_models - console.print("[bold]Waiting for model backends to become healthy...[/bold]") + console.print("[bold]Waiting for model router to become healthy...[/bold]") - chat_status = wait_for_healthy( - "http://127.0.0.1:18103/v1/models", - service_name="vLLM chat", - headers={"Authorization": f"Bearer {secrets.vllm_api_key}"}, - timeout=timeout, - on_retry=lambda attempt, elapsed: console.print(f"[dim] Chat: attempt {attempt} ({elapsed:.0f}s elapsed)...[/dim]") if verbose else None, - ) - - embed_status = wait_for_healthy( - "http://127.0.0.1:18104/v1/models", - service_name="vLLM embed", + router_status = wait_for_router_models( + f"http://127.0.0.1:{router_port}/v1/models", + expected_models=_expected_router_models(), headers={"Authorization": f"Bearer {secrets.vllm_api_key}"}, timeout=timeout, - on_retry=lambda attempt, elapsed: console.print(f"[dim] Embed: attempt {attempt} ({elapsed:.0f}s elapsed)...[/dim]") if verbose else None, + on_retry=lambda attempt, elapsed: console.print(f"[dim] Router: attempt {attempt} ({elapsed:.0f}s elapsed)...[/dim]") if verbose else None, ) - - if chat_status.healthy: - print_success(f"vLLM chat healthy ({chat_status.latency_ms:.0f}ms)") - else: - print_warning(f"vLLM chat not ready: {chat_status.error}") - if embed_status.healthy: - print_success(f"vLLM embed healthy ({embed_status.latency_ms:.0f}ms)") + if router_status.healthy: + print_success(f"vLLM router healthy ({router_status.latency_ms:.0f}ms)") else: - print_warning(f"vLLM embed not ready: {embed_status.error}") - if not chat_status.healthy or not embed_status.healthy: if proxy_bypass_warning: print_warning( "Proxy settings may be blocking local health probes. " "Ensure NO_PROXY includes localhost and 127.0.0.1." ) - print_error( - "Model backends did not become healthy before timeout.", - hint="Increase `superclaw-ctl up --timeout` and retry.", - ) - raise typer.Exit(1) - - router_status = wait_for_healthy( - f"http://127.0.0.1:{router_port}/v1/models", - service_name="vLLM router", - headers={"Authorization": f"Bearer {secrets.vllm_api_key}"}, - timeout=timeout, - on_retry=lambda attempt, elapsed: console.print(f"[dim] Router: attempt {attempt} ({elapsed:.0f}s elapsed)...[/dim]") if verbose else None, - ) - if router_status.healthy: - print_success(f"vLLM router healthy ({router_status.latency_ms:.0f}ms)") - else: print_error( f"vLLM router not ready: {router_status.error}", hint=f"Check `superclaw-ctl logs` and verify --router-port {router_port}.", @@ -447,11 +695,7 @@ def up( # Print connection info host_ip = _get_host_ip() - ports = { - "vLLM Model Router": router_port, - "vLLM Chat": 18103, - "vLLM Embed": 18104, - } + ports = {"vLLM Model Router": router_port} print_connection_info(host_ip, ports, secrets.vllm_api_key) if router_port != 8080: print_warning(f"Use --router-port {router_port} when running `superclaw-ctl status`.") @@ -536,19 +780,7 @@ def status( print_gpu_info(util) # Health probes - from superclaw_ctl.health import check_vllm_health, check_router_health - - chat = check_vllm_health(api_key=secrets.vllm_api_key, port=18103) - if chat.healthy: - print_success(f"vLLM chat: healthy ({chat.latency_ms:.0f}ms)") - else: - print_warning(f"vLLM chat: {chat.error or 'unhealthy'}") - - embed = check_vllm_health(api_key=secrets.vllm_api_key, port=18104) - if embed.healthy: - print_success(f"vLLM embed: healthy ({embed.latency_ms:.0f}ms)") - else: - print_warning(f"vLLM embed: {embed.error or 'unhealthy'}") + from superclaw_ctl.health import check_router_health router = check_router_health(api_key=secrets.vllm_api_key, port=router_port) if router.healthy: @@ -556,9 +788,69 @@ def status( else: print_warning(f"Model service router: {router.error or 'unhealthy'}") + # Watchdog restart counter + if config.vllm.watchdog.enabled: + state_file = Path(config.paths.logs_dir).expanduser() / _WATCHDOG_STATE_FILE + _print_watchdog_status(state_file, config.vllm.watchdog) + # ─── logs ─────────────────────────────────────────────────────────────────── +def _read_watchdog_state(state_file: Path) -> tuple[int, int]: + """Return (attempts, last_attempt_ts) from the watchdog state file, defaulting to (0, 0).""" + if not state_file.exists(): + return 0, 0 + try: + state = json.loads(state_file.read_text(encoding="utf-8")) + return int(state.get("attempts", 0)), int(state.get("last_attempt_ts", 0)) + except Exception: + return 0, 0 + + +def _reset_watchdog_state(config: Config) -> None: + """Delete watchdog state before an intentional `up`, resetting the restart budget.""" + state_file = Path(config.paths.logs_dir).expanduser() / _WATCHDOG_STATE_FILE + attempts, _ = _read_watchdog_state(state_file) + if attempts > 0: + max_restarts = config.vllm.watchdog.max_restart_attempts + if max_restarts > 0 and attempts >= max_restarts: + print_warning( + f"Watchdog had reached max restarts ({attempts}/{max_restarts}). " + "Resetting counter for fresh start." + ) + state_file.unlink(missing_ok=True) + + +def _print_watchdog_status(state_file: Path, watchdog_cfg: "VllmWatchdogConfig") -> None: + """Print watchdog restart counter with actionable hints.""" + from datetime import datetime + + attempts, last_ts = _read_watchdog_state(state_file) + max_restarts = watchdog_cfg.max_restart_attempts + + if max_restarts > 0 and attempts >= max_restarts: + print_warning(f"Watchdog: MAX RESTARTS REACHED ({attempts}/{max_restarts})") + console.print( + " [dim]Repeated chat generation failures detected - the watchdog stopped auto-restarting.[/dim]" + ) + console.print( + " [cyan]→ Run:[/cyan] superclaw-ctl up " + "[dim](resets watchdog counter and restarts the container)[/dim]" + ) + elif attempts > 0: + last_str = datetime.fromtimestamp(last_ts).strftime("%Y-%m-%d %H:%M") if last_ts else "unknown" + limit_str = f"/{max_restarts}" if max_restarts > 0 else "/∞" + print_warning(f"Watchdog: {attempts}{limit_str} restarts recorded (last: {last_str})") + if max_restarts > 0: + console.print( + f" [dim]Counter resets automatically after {watchdog_cfg.restart_window_minutes}m " + "of stable operation.[/dim]" + ) + else: + print_success("Watchdog: no restarts recorded") + + + @app.command() def logs( service: Annotated[Optional[str], typer.Argument(help="Service name (vllm only).")] = None, @@ -620,40 +912,67 @@ def doctor(verbose: Verbose = False) -> None: def _run_doctor_checks(config: Config, secrets: Secrets, verbose: bool) -> None: - from superclaw_ctl.checks import check_compose, check_docker, check_image_available + from superclaw_ctl.checks import ( + CheckResult, + check_compose, + check_docker, + check_image_available, + check_model_integrity, + ) from superclaw_ctl.gpu import check_gpu_access - from superclaw_ctl.models import list_models + from superclaw_ctl.registry import load_registry + _doctor_verbose(verbose, "Checking Docker availability...") adapter = _get_adapter(config, secrets) - results = [ - check_docker(adapter), - check_compose(adapter), - check_image_available(adapter, config.images.vllm), - ] + docker_result = check_docker(adapter) + _doctor_verbose(verbose, "Checking Docker Compose availability...") + compose_result = check_compose(adapter) + _doctor_verbose(verbose, f"Checking image availability: {config.images.vllm}") + image_result = check_image_available(adapter, config.images.vllm) + results = [docker_result, compose_result, image_result] # GPU check + _doctor_verbose(verbose, "Checking GPU access...") gpu_warnings = check_gpu_access() if gpu_warnings: - from superclaw_ctl.checks import CheckResult results.append(CheckResult(name="GPU access", status="warn", message="; ".join(gpu_warnings))) else: - from superclaw_ctl.checks import CheckResult results.append(CheckResult(name="GPU access", status="pass", message="GPU devices accessible")) # Models dir - from superclaw_ctl.checks import CheckResult models_path = Path(config.paths.models_dir).expanduser() - if models_path.exists(): - models = list_models(models_path) - results.append(CheckResult( - name="Models directory", - status="pass" if models else "warn", - message=f"{len(models)} model(s) found" if models else "No models found", - )) + registry_load_failed = False + if models_path.is_dir(): + _doctor_verbose(verbose, f"Checking models in: {models_path}") + try: + _doctor_verbose(verbose, "Loading model registry...") + registry = load_registry() + active_models = registry.get_active_models() + except Exception as exc: + results.append( + CheckResult( + name="Models registry", + status="warn", + message=f"Failed to load model registry: {exc}", + hint="Check superclaw_ctl/vllm_models.json and retry.", + ) + ) + active_models = [] + registry_load_failed = True + + if active_models: + for entry in active_models: + _doctor_verbose(verbose, f"Verifying model integrity: {entry.id}") + results.append(check_model_integrity(entry, models_path, issue_status="warn")) + elif not registry_load_failed: + results.append(CheckResult(name="Models directory", status="warn", message="No active models configured")) + elif models_path.exists(): + results.append(CheckResult(name="Models directory", status="warn", message=f"Not a directory: {models_path}")) else: results.append(CheckResult(name="Models directory", status="warn", message=f"Not found: {models_path}")) # Secrets validation + _doctor_verbose(verbose, "Validating secrets...") secret_warnings = validate_secrets(secrets) if secret_warnings: results.append(CheckResult(name="Secrets", status="warn", message="; ".join(secret_warnings))) @@ -661,6 +980,75 @@ def _run_doctor_checks(config: Config, secrets: Secrets, verbose: bool) -> None: results.append(CheckResult(name="Secrets", status="pass", message="All tokens valid")) print_check_results(results) + _print_doctor_action_panel(results) + + +def _doctor_verbose(verbose: bool, message: str) -> None: + if verbose: + console.print(f"[dim][doctor] {message}[/dim]") + + +def _print_doctor_action_panel(results: list) -> None: + problematic = [ + result + for result in results + if str(getattr(result, "status", "")).lower() in {"warn", "fail"} + ] + if not problematic: + return + + steps: list[str] = [] + seen: set[str] = set() + + def add_step(text: str) -> None: + if text and text not in seen: + seen.add(text) + steps.append(f"- {text}") + + for result in problematic: + hint = str(getattr(result, "hint", "") or "").strip() + if hint: + add_step(hint) + + failed_result_names = [str(getattr(result, "name", "")).lower() for result in problematic] + no_active_models_configured = any( + str(getattr(result, "name", "")).lower() == "models directory" + and "no active models configured" in str(getattr(result, "message", "")).lower() + for result in problematic + ) + model_integrity_issues = any(name.startswith("model:") for name in failed_result_names) + model_directory_repair_issues = any( + str(getattr(result, "name", "")).lower() == "models directory" + and "no active models configured" not in str(getattr(result, "message", "")).lower() + for result in problematic + ) + if model_integrity_issues or model_directory_repair_issues: + add_step("Run `superclaw-ctl models download --verify` to re-check model integrity.") + add_step("Run `superclaw-ctl models download` to repair/download all missing model files.") + if no_active_models_configured: + add_step( + "No active models are configured. Check `superclaw_ctl/vllm_models.json` " + "and rerun `superclaw-ctl doctor`." + ) + if any("secrets" in name for name in failed_result_names): + add_step("Run `superclaw-ctl keys show` or `superclaw-ctl keys rotate` to refresh credentials.") + if any("gpu" in name for name in failed_result_names): + add_step("Check GPU drivers/device permissions, then rerun `superclaw-ctl doctor`.") + if any("docker" in name or "compose" in name for name in failed_result_names): + add_step("Ensure Docker/Compose are installed and running, then rerun `superclaw-ctl doctor`.") + if any(name.startswith("image:") for name in failed_result_names): + add_step("Run `superclaw-ctl pull` to fetch/refresh required images.") + + if not steps: + return + + console.print( + Panel.fit( + "\n".join(steps), + title="Recommended next steps", + border_style="yellow", + ) + ) # ─── models ───────────────────────────────────────────────────────────────── @@ -709,6 +1097,86 @@ def models_info( print_model_detail(info) +@models_app.command("download") +def models_download( + model: Annotated[Optional[str], typer.Option("--model", help="Specific model id to download/verify. Defaults to all active models.")] = None, + verify: Annotated[bool, typer.Option("--verify", help="Verify integrity only (no download/repair).")] = False, + verbose: Verbose = False, +) -> None: + """Download/sync active models, or verify model integrity with --verify.""" + from superclaw_ctl.checks import check_model_integrity + from superclaw_ctl.registry import load_registry + + try: + config = load_config() + except SuperclawCtlError as exc: + _handle_error(exc) + return + + try: + registry = load_registry() + active_models = registry.get_active_models() + except Exception as exc: + print_error( + f"Failed to load model registry: {exc}", + hint="Check superclaw_ctl/vllm_models.json and retry.", + ) + raise typer.Exit(1) + if model: + selected_models = [entry for entry in active_models if entry.id == model] + if not selected_models: + print_error(f"Unknown active model id: {model}") + raise typer.Exit(1) + else: + selected_models = active_models + + if not selected_models: + print_warning("No active models configured.") + return + + models_path = Path(config.paths.models_dir).expanduser() + if verify: + checks = [ + check_model_integrity(entry, models_path, issue_status="fail") + for entry in selected_models + ] + print_check_results(checks) + if any(check.status == "fail" for check in checks): + raise typer.Exit(1) + return + + models_path.mkdir(parents=True, exist_ok=True) + failed = False + for entry in selected_models: + console.print(f"[bold]Downloading model[/bold] {entry.name}...") + dl_result = _download_model_entry( + entry, + models_path, + on_progress=lambda msg: console.print(f" [dim]{msg}[/dim]"), + ) + if dl_result.error: + print_warning(f"{entry.name}: {dl_result.error}") + + check = check_model_integrity(entry, models_path, issue_status="fail") + if check.status == "pass": + print_success(f"{entry.name}: integrity verified") + else: + print_warning(f"{entry.name}: {check.message}") + if check.hint: + print_warning(check.hint) + if check.status == "fail": + failed = True + + if failed: + raise typer.Exit(1) + + +def _download_model_entry(entry, models_path: Path, *, on_progress): + from superclaw_ctl.download import download_model + + return download_model(entry, models_path, on_progress=on_progress) + + # ─── keys ─────────────────────────────────────────────────────────────────── @keys_app.command("show") diff --git a/superclaw-ctl/src/superclaw_ctl/compose.py b/superclaw/superclaw-ctl/src/superclaw_ctl/compose.py similarity index 100% rename from superclaw-ctl/src/superclaw_ctl/compose.py rename to superclaw/superclaw-ctl/src/superclaw_ctl/compose.py diff --git a/superclaw-ctl/src/superclaw_ctl/config.py b/superclaw/superclaw-ctl/src/superclaw_ctl/config.py similarity index 93% rename from superclaw-ctl/src/superclaw_ctl/config.py rename to superclaw/superclaw-ctl/src/superclaw_ctl/config.py index f543d07f..9de95098 100644 --- a/superclaw-ctl/src/superclaw_ctl/config.py +++ b/superclaw/superclaw-ctl/src/superclaw_ctl/config.py @@ -14,8 +14,8 @@ _CONFIG_FILE_NAME = "config.toml" _SECRETS_FILE_NAME = "secrets.toml" -_REJECTED_TOKENS = frozenset({"", "1234qwer", "password", "secret", "admin", "test", "user"}) -# Escape hatch: set this env var truthy to allow known demo/weak tokens (e.g. `user`). +_REJECTED_TOKENS = frozenset({"", "password", "secret", "admin", "test"}) +# Escape hatch: set this env var truthy to allow known demo/weak tokens # An empty key is always rejected regardless, since it cannot authenticate anything. _ALLOW_DEMO_KEY_ENV = "SUPERCLAW_ALLOW_DEMO_KEY" _TRUTHY_ENV_VALUES = frozenset({"1", "true", "yes", "on"}) @@ -42,11 +42,25 @@ class ComposeConfig(BaseModel): extra_files: list[str] = Field(default_factory=list) +class VllmWatchdogConfig(BaseModel): + enabled: bool = True + interval_s: int = 60 + consecutive_failures: int = 3 + canary_expected: str = "Hello" + max_restart_attempts: int = 5 # 0 = unlimited + restart_window_minutes: int = 60 # reset counter after this many minutes of healthy operation + + +class VllmConfig(BaseModel): + watchdog: VllmWatchdogConfig = Field(default_factory=VllmWatchdogConfig) + + class Config(BaseModel): config_version: int = 1 images: ImagesConfig = Field(default_factory=ImagesConfig) paths: PathsConfig = Field(default_factory=PathsConfig) compose: ComposeConfig = Field(default_factory=ComposeConfig) + vllm: VllmConfig = Field(default_factory=VllmConfig) class Secrets(BaseModel): diff --git a/superclaw-ctl/src/superclaw_ctl/display.py b/superclaw/superclaw-ctl/src/superclaw_ctl/display.py similarity index 69% rename from superclaw-ctl/src/superclaw_ctl/display.py rename to superclaw/superclaw-ctl/src/superclaw_ctl/display.py index 00c74229..f2e6e283 100644 --- a/superclaw-ctl/src/superclaw_ctl/display.py +++ b/superclaw/superclaw-ctl/src/superclaw_ctl/display.py @@ -113,6 +113,84 @@ def redact_token(token: str) -> str: """Show first 4 chars + '...' for display.""" return "***" if len(token) <= 4 else token[:4] + "..." +def print_init_plan( + models_dir: str, + models: list, + disk_check, + images: list[str], + image_size_bytes_approx: int, + config_dir: str, + *, + models_dir_will_be_created: bool = False, + model_statuses: dict[str, str] | None = None, + model_bytes: dict[str, int] | None = None, + image_present: bool = False, + skip_models: bool = False, +) -> None: + """Print a pre-flight summary of what init will do, before asking for confirmation. + + model_statuses maps model id -> "present" | "incomplete" | "missing" | "skipped". + model_bytes maps model id -> estimated bytes to actually download: + - For incomplete models this is the remaining bytes (snapshot_download is + incremental — it SHA-checks each file and only fetches what's missing). + - For missing models this is the full size_bytes_approx. + disk_check may be None when no downloads are needed at all. + """ + lines: list[str] = [] + dir_note = " [dim](will be created)[/dim]" if models_dir_will_be_created else "" + + # Models section + lines.append("[bold]Models:[/bold]") + for model in models: + model_id = str(_read(model, "id", default="")) + name = str(_read(model, "name", default="—")) + role = str(_read(model, "role", default="")) + size = int(_read(model, "size_bytes_approx", default=0) or 0) + size_str = format_size(size) if size else "size unknown" + role_label = f" [{role}]" if role else "" + status = (model_statuses or {}).get(model_id, "missing") + bytes_to_dl = (model_bytes or {}).get(model_id, size) + bytes_str = format_size(bytes_to_dl) if bytes_to_dl else "size unknown" + + if status == "present": + lines.append(f" [green]✓[/green] {name}{role_label} already present — will verify → {models_dir}") + elif status == "incomplete": + # snapshot_download is incremental: only missing/changed files are fetched + remaining_note = f"up to ~{bytes_str} remaining" if bytes_to_dl else "some files missing" + lines.append(f" [yellow]⚠[/yellow] {name}{role_label} incomplete — resuming sync ({remaining_note}) → {models_dir}{dir_note}") + elif status == "skipped": + lines.append(f" [dim]-[/dim] {name}{role_label} skipped (--skip-models) — download/verify bypassed → {models_dir}{dir_note}") + else: + lines.append(f" [cyan]↓[/cyan] {name}{role_label} will download ~{size_str} → {models_dir}{dir_note}") + + # Docker images section + lines.append("") + lines.append("[bold]Docker images:[/bold]") + for image in images: + if image_present: + lines.append(f" [green]✓[/green] {image} present locally — init will still run pull to check updates") + else: + lines.append(f" [cyan]↓[/cyan] {image} will pull ~{format_size(image_size_bytes_approx)}") + + # Disk space section + lines.append("") + if disk_check is not None: + disk_status = str(_read(disk_check, "status", default="unknown")).lower() + disk_msg = str(_read(disk_check, "message", default="")) + disk_color = "green" if disk_status == "pass" else "yellow" if disk_status == "warn" else "red" + lines.append(f"[bold]Disk space:[/bold] [{disk_color}]{disk_msg}[/{disk_color}]") + else: + if skip_models: + lines.append("[bold]Disk space:[/bold] [yellow]Model download skipped; disk check not required for models[/yellow]") + else: + lines.append("[bold]Disk space:[/bold] [green]No download needed — all assets already present[/green]") + + # Config section + lines.append("") + lines.append(f"[bold]Config & keys:[/bold] will be written to {config_dir}") + + console.print(Panel.fit("\n".join(lines), title="Init Setup Plan", border_style="cyan")) + def print_error(message: str, *, hint: str = "") -> None: """Print an error panel to stderr with optional hint.""" lines = [message] diff --git a/superclaw-ctl/src/superclaw_ctl/docker.py b/superclaw/superclaw-ctl/src/superclaw_ctl/docker.py similarity index 100% rename from superclaw-ctl/src/superclaw_ctl/docker.py rename to superclaw/superclaw-ctl/src/superclaw_ctl/docker.py diff --git a/superclaw-ctl/src/superclaw_ctl/download.py b/superclaw/superclaw-ctl/src/superclaw_ctl/download.py similarity index 55% rename from superclaw-ctl/src/superclaw_ctl/download.py rename to superclaw/superclaw-ctl/src/superclaw_ctl/download.py index d3c521f3..bf54c034 100644 --- a/superclaw-ctl/src/superclaw_ctl/download.py +++ b/superclaw/superclaw-ctl/src/superclaw_ctl/download.py @@ -8,6 +8,7 @@ from __future__ import annotations import hashlib +import json import logging import os from dataclasses import dataclass @@ -15,7 +16,6 @@ from typing import Callable from huggingface_hub import HfApi, snapshot_download -from huggingface_hub.utils import HfHubHTTPError from .registry import VllmModelEntry @@ -49,49 +49,62 @@ def download_model( *, on_progress: Callable[[str], None] | None = None, ) -> DownloadResult: - """Download a model snapshot from HuggingFace, with automatic fallback to hf-mirror.com. + """Download or sync a model snapshot from HuggingFace. - Tries huggingface.co first. On network-class errors (timeouts, connection failures, - DNS issues), automatically retries using hf-mirror.com as an alternative endpoint. - Auth/404 errors are not retried. Proxy settings (HTTP_PROXY, HTTPS_PROXY) apply to - both endpoints. + Always calls snapshot_download, which is incremental: it checks each file's + ETag against the remote manifest and only fetches missing or changed files. + + If the model files are already locally present and the remote is unreachable + (network error), the download is treated as a warning rather than a hard + failure so that init can still proceed with the local files. + + On network failures without local files, automatically retries via hf-mirror.com. + Auth/404 errors are not retried. """ local_dir = models_dir / entry.local_dir_name - # Quick check: if model directory exists with config.json, likely present - if _snapshot_looks_complete(local_dir): + # Determine whether local files are likely usable for offline fallback. + # A structurally complete snapshot can still be partial for sharded models. + # Apply the same 85% size sanity check used in init when an approximate size + # is available. + looks_complete = _snapshot_looks_complete(local_dir) + was_locally_present = looks_complete + approx_size = getattr(entry, "size_bytes_approx", 0) + if looks_complete and approx_size > 0: + from .models import get_dir_size + + actual_size = get_dir_size(local_dir) + was_locally_present = actual_size >= approx_size * 0.85 + + if was_locally_present: if on_progress: - on_progress(f"{entry.name}: already present, verifying...") - verification = verify_model(entry, models_dir, check_remote=True) - if verification.local_valid and verification.remote_matches is not False: - if verification.error: - return DownloadResult( - model_id=entry.id, - local_dir=local_dir, - already_present=True, - error=( - "Local model files are present, but remote verification failed. " - f"{verification.error}" - ), - ) - return DownloadResult( - model_id=entry.id, local_dir=local_dir, already_present=True - ) + on_progress(f"{entry.name}: verifying files and syncing any missing shards...") + else: if on_progress: - on_progress(f"{entry.name}: integrity check failed, re-downloading...") - - if on_progress: - on_progress(f"{entry.name}: downloading from {entry.repo}...") + on_progress(f"{entry.name}: downloading from {entry.repo}...") - # Try primary endpoint (huggingface.co) + # snapshot_download is incremental: downloads only missing / changed files primary_exc = _attempt_snapshot_download(entry, local_dir, endpoint=_HF_PRIMARY_ENDPOINT) if primary_exc is None: if on_progress: - on_progress(f"{entry.name}: download complete.") - return DownloadResult(model_id=entry.id, local_dir=local_dir) + on_progress(f"{entry.name}: {'verified ✓' if was_locally_present else 'download complete.'}") + return DownloadResult(model_id=entry.id, local_dir=local_dir, already_present=was_locally_present) - # On network errors only, retry via hf-mirror.com + # Network errors: special handling when files are already present locally if _is_network_error(primary_exc): + if was_locally_present: + # Files are locally present; can't sync against remote right now. + # Treat as a warning so init can still proceed. + hint = _proxy_guidance_hint(primary_exc) + warn = ( + "Local model files are present, but remote sync failed. " + f"{primary_exc}{hint}" + ) + if on_progress: + on_progress(f"{entry.name}: using local files (remote unreachable).") + return DownloadResult(model_id=entry.id, local_dir=local_dir, already_present=True, error=warn) + + # No local files — retry via hf-mirror.com _log.debug( "huggingface.co unreachable for %s (%s), retrying via hf-mirror.com...", entry.repo, @@ -122,7 +135,14 @@ def download_model( ), ) - # Non-network error (e.g. 401, 404) — don't retry + # Non-network error (e.g. 401, 404) + if was_locally_present: + # Local files exist; treat the remote error as a warning rather than blocking init. + hint = _proxy_guidance_hint(primary_exc) + warn = f"Remote sync failed: {primary_exc}{hint}" + _log.warning("Remote sync failed for %s (local files present): %s", entry.repo, primary_exc) + return DownloadResult(model_id=entry.id, local_dir=local_dir, already_present=True, error=warn) + _log.error("Failed to download %s: %s", entry.repo, primary_exc) hint = _proxy_guidance_hint(primary_exc) return DownloadResult( @@ -147,7 +167,7 @@ def _attempt_snapshot_download( endpoint=endpoint, ) return None - except (HfHubHTTPError, OSError, Exception) as exc: + except Exception as exc: return exc @@ -171,13 +191,34 @@ def verify_model( result.error = f"Directory not found: {local_dir}" return result - # Check local completeness - config_path = local_dir / "config.json" - if not config_path.is_file(): - result.error = "Missing config.json" + if not _snapshot_looks_complete(local_dir): + result.error = "Model files look incomplete (missing config.json or weight files)." + return result + + local_consistency_error = _validate_local_snapshot_consistency(local_dir) + if local_consistency_error: + result.error = local_consistency_error return result - # Read local revision from snapshot metadata + approx = max(0, int(getattr(entry, "size_bytes_approx", 0) or 0)) + if approx > 0: + from .models import format_size + weight_size = 0 + for pattern in ("*.safetensors", "model*.bin", "pytorch_model*.bin", "*.gguf"): + for path in local_dir.glob(pattern): + try: + if path.is_file(): + weight_size += path.stat().st_size + except OSError: + continue + if weight_size and weight_size < approx * 0.85: + result.error = ( + f"Model appears partially downloaded: {format_size(weight_size)} present, " + f"{format_size(approx)} expected." + ) + return result + + # Local integrity checks passed local_rev = _read_local_revision(local_dir) result.local_revision = local_rev result.local_valid = True @@ -201,31 +242,38 @@ def verify_model( # Can't compare revisions; check key files via SHA result.remote_matches = _verify_key_files(api, entry, local_dir) - except HfHubHTTPError as exc: - hint = _proxy_guidance_hint(exc) - _log.warning("Remote verification failed for %s: %s%s", entry.repo, exc, hint) - result.remote_matches = None - result.error = f"Remote check failed: {exc}{hint}" except Exception as exc: hint = _proxy_guidance_hint(exc) - _log.warning("Unexpected error verifying %s: %s%s", entry.repo, exc, hint) + _log.warning("Remote verification failed for %s: %s%s", entry.repo, exc, hint) result.remote_matches = None result.error = f"Remote check failed: {exc}{hint}" return result +def snapshot_looks_complete(local_dir: Path) -> bool: + """Quick heuristic: directory exists with config.json and at least one shard. + + Public wrapper used by callers outside this module (e.g. the init pre-flight check). + """ + return _snapshot_looks_complete(local_dir) + + def _snapshot_looks_complete(local_dir: Path) -> bool: """Quick heuristic: directory exists with config.json and at least one shard.""" if not local_dir.is_dir(): return False if not (local_dir / "config.json").is_file(): return False - # Check for safetensors or bin files + # Check for weights (or known shard index layouts for sharded repos) has_weights = ( any(local_dir.glob("*.safetensors")) or any(local_dir.glob("model*.bin")) + or (local_dir / "pytorch_model.bin").is_file() + or any(local_dir.glob("pytorch_model-*.bin")) or any(local_dir.glob("*.gguf")) + or (local_dir / "model.safetensors.index.json").is_file() + or (local_dir / "pytorch_model.bin.index.json").is_file() ) return has_weights @@ -253,16 +301,19 @@ def _read_local_revision(local_dir: Path) -> str: def _verify_key_files( api: HfApi, entry: VllmModelEntry, local_dir: Path -) -> bool: +) -> bool | None: """Verify SHA256 of key model files against HuggingFace remote.""" - # Find safetensors files to verify (just check the first shard) - safetensors = sorted(local_dir.glob("*.safetensors")) - if not safetensors: - safetensors = sorted(local_dir.glob("model*.bin")) - if not safetensors: - return True # No files to verify - - target_file = safetensors[0] + # Verify one representative weight shard when revision metadata is unavailable + # Support both safetensors and sharded pytorch layouts + candidate_files = sorted(local_dir.glob("*.safetensors")) + if not candidate_files: + candidate_files = sorted(local_dir.glob("model*.bin")) + if not candidate_files: + candidate_files = sorted(local_dir.glob("pytorch_model*.bin")) + if not candidate_files: + return None # Can't verify + + target_file = candidate_files[0] relative_path = target_file.name try: @@ -274,19 +325,19 @@ def _verify_key_files( ) except Exception as exc: _log.warning("get_paths_info failed for %s: %s", entry.repo, exc) - return True # Can't verify, assume OK + return None # Can't verify if not paths_info: - return True + return None remote_entry = paths_info[0] lfs = getattr(remote_entry, "lfs", None) if lfs is None: - return True + return None remote_sha = getattr(lfs, "sha256", None) if not remote_sha: - return True + return None # Compute local SHA256 local_sha = _sha256_file(target_file) @@ -333,3 +384,42 @@ def _proxy_guidance_hint(exc: Exception) -> str: return "\nCheck proxy settings: set HTTP_PROXY/HTTPS_PROXY if your network requires a proxy." return "\nCheck proxy settings: verify HTTP_PROXY/HTTPS_PROXY and NO_PROXY are correct for your environment." + + +def _validate_local_snapshot_consistency(local_dir: Path) -> str | None: + """Validate local shard integrity from known HF index files when present.""" + index_files = ( + local_dir / "model.safetensors.index.json", + local_dir / "pytorch_model.bin.index.json", + ) + + for index_path in index_files: + if not index_path.is_file(): + continue + try: + index_payload = json.loads(index_path.read_text(encoding="utf-8")) + except (OSError, UnicodeDecodeError, json.JSONDecodeError) as exc: + return f"Invalid shard index file {index_path.name}: {exc}" + + weight_map = index_payload.get("weight_map") + if not isinstance(weight_map, dict) or not weight_map: + return f"Invalid shard index file {index_path.name}: missing weight_map entries." + + shard_files = {str(v) for v in weight_map.values() if isinstance(v, str)} + if not shard_files: + return f"Invalid shard index file {index_path.name}: no shard filenames listed." + + for shard_name in shard_files: + shard_candidate = Path(shard_name) + if shard_candidate.is_absolute() or ".." in shard_candidate.parts: + return f"Invalid shard index file {index_path.name}: unsafe shard path {shard_name!r}" + shard_path = local_dir / shard_candidate + if not shard_path.is_file(): + return f"Missing shard files: {shard_name}" + try: + if shard_path.stat().st_size <= 0: + return f"Shard file is empty: {shard_name}" + except OSError as exc: + return f"Unable to read shard file {shard_name}: {exc}" + + return None diff --git a/superclaw-ctl/src/superclaw_ctl/errors.py b/superclaw/superclaw-ctl/src/superclaw_ctl/errors.py similarity index 100% rename from superclaw-ctl/src/superclaw_ctl/errors.py rename to superclaw/superclaw-ctl/src/superclaw_ctl/errors.py diff --git a/superclaw-ctl/src/superclaw_ctl/gpu.py b/superclaw/superclaw-ctl/src/superclaw_ctl/gpu.py similarity index 100% rename from superclaw-ctl/src/superclaw_ctl/gpu.py rename to superclaw/superclaw-ctl/src/superclaw_ctl/gpu.py diff --git a/superclaw-ctl/src/superclaw_ctl/health.py b/superclaw/superclaw-ctl/src/superclaw_ctl/health.py similarity index 50% rename from superclaw-ctl/src/superclaw_ctl/health.py rename to superclaw/superclaw-ctl/src/superclaw_ctl/health.py index f519f3ad..13323c4a 100644 --- a/superclaw-ctl/src/superclaw_ctl/health.py +++ b/superclaw/superclaw-ctl/src/superclaw_ctl/health.py @@ -5,6 +5,7 @@ from collections.abc import Callable from typing import Any from dataclasses import dataclass +import json import time from urllib.parse import urlparse @@ -32,12 +33,20 @@ def probe_endpoint(url: str, *, headers: dict[str, str] | None = None, timeout: except httpx.HTTPError as exc: return HealthStatus(service=service, healthy=False, error=str(exc), latency_ms=(time.perf_counter() - started) * 1000) latency_ms = (time.perf_counter() - started) * 1000 - body = response.text[:1000] + body = response.text + healthy = 200 <= response.status_code < 300 + error = "" + if not healthy: + body_preview = body[:300].strip().replace("\n", " ") + error = f"HTTP {response.status_code}" + if body_preview: + error = f"{error}: {body_preview}" return HealthStatus( service=service, - healthy=200 <= response.status_code < 300, + healthy=healthy, status_code=response.status_code, response_body=body, + error=error, latency_ms=latency_ms, ) @@ -76,6 +85,49 @@ def wait_for_healthy( time.sleep(min(interval, max(timeout - elapsed, 0))) +def wait_for_router_models( + url: str, + *, + expected_models: tuple[str, ...], + headers: dict[str, str] | None = None, + timeout: float = 300, + interval: float = 5.0, + on_retry: Callable[[int, float], Any] | None = None, +) -> HealthStatus: + """Poll router /v1/models until all expected models are listed.""" + started = time.monotonic() + attempt = 0 + last = HealthStatus(service="vLLM router", healthy=False) + while True: + elapsed = time.monotonic() - started + remaining = timeout - elapsed + if remaining <= 0: + if not last.error: + missing = ", ".join(expected_models) + last.error = f"Timed out after {timeout:.1f}s waiting for router models: {missing}." + return last + + attempt += 1 + last = probe_endpoint(url, headers=headers, timeout=min(interval, remaining)) + last.service = "vLLM router" + + if last.healthy: + missing = [model for model in expected_models if not _router_body_contains_model(last.response_body, model)] + if not missing: + return last + last.healthy = False + last.error = f"Router is healthy but missing models: {', '.join(missing)}." + + elapsed = time.monotonic() - started + if elapsed >= timeout: + if not last.error: + last.error = f"Timed out after {timeout:.1f}s waiting for router models." + return last + if on_retry is not None: + on_retry(attempt, elapsed) + time.sleep(min(interval, max(timeout - elapsed, 0))) + + def check_vllm_health(host: str = "127.0.0.1", port: int = 18103, api_key: str = "") -> HealthStatus: """Check vLLM /v1/models endpoint.""" headers = {"Authorization": f"Bearer {api_key}"} if api_key else None @@ -90,3 +142,45 @@ def check_router_health(host: str = "127.0.0.1", port: int = 8080, api_key: str status = probe_endpoint(f"http://{host}:{port}/v1/models", headers=headers, timeout=3.0) status.service = "model service router" return status + + +def _extract_model_ids(body: str) -> set[str]: + try: + payload = json.loads(body) + except json.JSONDecodeError: + return set() + + items: list[Any] + if isinstance(payload, dict): + data = payload.get("data", []) + items = data if isinstance(data, list) else [] + elif isinstance(payload, list): + items = payload + else: + return set() + + model_ids: set[str] = set() + for item in items: + if isinstance(item, str): + model_ids.add(item) + continue + if isinstance(item, dict): + model_id = item.get("id") or item.get("model_id") or item.get("name") + if isinstance(model_id, str) and model_id: + model_ids.add(model_id) + return model_ids + + +def _router_body_contains_model(body: str, expected_model: str) -> bool: + expected = expected_model.strip().lower() + if not expected: + return False + + model_ids = _extract_model_ids(body) + for model_id in model_ids: + lowered = model_id.lower() + if lowered == expected or expected in lowered: + return True + + # Fallback to substring check, mirroring compose healthcheck grep behavior. + return expected in body.lower() diff --git a/superclaw-ctl/src/superclaw_ctl/models.py b/superclaw/superclaw-ctl/src/superclaw_ctl/models.py similarity index 100% rename from superclaw-ctl/src/superclaw_ctl/models.py rename to superclaw/superclaw-ctl/src/superclaw_ctl/models.py diff --git a/superclaw-ctl/src/superclaw_ctl/registry.py b/superclaw/superclaw-ctl/src/superclaw_ctl/registry.py similarity index 93% rename from superclaw-ctl/src/superclaw_ctl/registry.py rename to superclaw/superclaw-ctl/src/superclaw_ctl/registry.py index b687c223..3ffb7a85 100644 --- a/superclaw-ctl/src/superclaw_ctl/registry.py +++ b/superclaw/superclaw-ctl/src/superclaw_ctl/registry.py @@ -21,6 +21,7 @@ class VllmModelEntry: repo: str # HuggingFace repo_id e.g. "Qwen/Qwen3-Coder-Next" revision: str = "main" local_dir_name: str = "" + size_bytes_approx: int = 0 # Approximate on-disk size after download; 0 means unknown vllm_args: dict[str, Any] = field(default_factory=dict) @@ -67,6 +68,7 @@ def load_registry(path: Path | None = None) -> VllmRegistry: repo=m["repo"], revision=m.get("revision", "main"), local_dir_name=m.get("local_dir_name", m["id"]), + size_bytes_approx=m.get("size_bytes_approx", 0), vllm_args=m.get("vllm_args", {}), ) for m in raw["models"] diff --git a/superclaw-ctl/src/superclaw_ctl/secrets.py b/superclaw/superclaw-ctl/src/superclaw_ctl/secrets.py similarity index 95% rename from superclaw-ctl/src/superclaw_ctl/secrets.py rename to superclaw/superclaw-ctl/src/superclaw_ctl/secrets.py index 91e55ea0..9d561035 100644 --- a/superclaw-ctl/src/superclaw_ctl/secrets.py +++ b/superclaw/superclaw-ctl/src/superclaw_ctl/secrets.py @@ -7,7 +7,7 @@ import secrets as stdlib_secrets import stat -WEAK_TOKENS = {"", "1234qwer", "password", "secret", "admin", "test", "user"} +WEAK_TOKENS = {"password", "secret", "admin", "test", ""} def generate_key(nbytes: int = 32) -> str: diff --git a/superclaw-ctl/src/superclaw_ctl/templates/__init__.py b/superclaw/superclaw-ctl/src/superclaw_ctl/templates/__init__.py similarity index 100% rename from superclaw-ctl/src/superclaw_ctl/templates/__init__.py rename to superclaw/superclaw-ctl/src/superclaw_ctl/templates/__init__.py diff --git a/superclaw/superclaw-ctl/src/superclaw_ctl/templates/docker-compose.vllm.yml b/superclaw/superclaw-ctl/src/superclaw_ctl/templates/docker-compose.vllm.yml new file mode 100644 index 00000000..9b73ba41 --- /dev/null +++ b/superclaw/superclaw-ctl/src/superclaw_ctl/templates/docker-compose.vllm.yml @@ -0,0 +1,303 @@ +# Standalone vLLM-only compose template. +# Generated by superclaw-ctl init. Edit as needed. +# +# Start: docker compose -f docker-compose.vllm.yml up -d +# Stop: docker compose -f docker-compose.vllm.yml down + +services: + vllm: + container_name: qwen-vllm + image: ${VLLM_IMAGE:-intel/llm-scaler-vllm:0.14.0-b8.3} + ipc: host + privileged: true + cap_drop: + - NET_RAW + shm_size: "32gb" + devices: + - /dev/dri:/dev/dri + ports: + - "${ROUTER_PORT:-8080}:${ROUTER_PORT:-8080}" + volumes: + - ${LOCAL_MODELS_DIR:-/models}:/llm/models + - ${LOCAL_LOGS_DIR:-/home/user/qwen-vllm-logs}:/llm/logs + environment: + HTTP_PROXY: ${HTTP_PROXY:-} + HTTPS_PROXY: ${HTTPS_PROXY:-} + NO_PROXY: ${NO_PROXY:-localhost,127.0.0.1} + VLLM_API_KEY: ${VLLM_API_KEY:?VLLM_API_KEY must be set} + VLLM_ROUTER_VERSION: ${VLLM_ROUTER_VERSION:-0.1.14} + ROUTER_HOST: ${ROUTER_HOST:-0.0.0.0} + ROUTER_PORT: ${ROUTER_PORT:-8080} + VLLM_BACKEND_READY_TIMEOUT_SECONDS: ${VLLM_BACKEND_READY_TIMEOUT_SECONDS:-1800} + SUPERCLAW_WATCHDOG_ENABLED: ${SUPERCLAW_WATCHDOG_ENABLED:-true} + SUPERCLAW_WATCHDOG_INTERVAL_S: ${SUPERCLAW_WATCHDOG_INTERVAL_S:-60} + SUPERCLAW_WATCHDOG_FAILURES: ${SUPERCLAW_WATCHDOG_FAILURES:-3} + SUPERCLAW_WATCHDOG_CANARY_EXPECTED: ${SUPERCLAW_WATCHDOG_CANARY_EXPECTED:-Hello} + SUPERCLAW_WATCHDOG_MAX_RESTARTS: ${SUPERCLAW_WATCHDOG_MAX_RESTARTS:-5} + SUPERCLAW_WATCHDOG_RESTART_WINDOW_MINUTES: ${SUPERCLAW_WATCHDOG_RESTART_WINDOW_MINUTES:-60} + entrypoint: ["/bin/bash", "-c"] + command: + - | + set -e + mkdir -p /llm/logs + exec > >(tee -a /llm/logs/init.log) 2>&1 + source /opt/intel/oneapi/setvars.sh --force > /dev/null 2>&1 + + export http_proxy="$${HTTP_PROXY:-}" + export https_proxy="$${HTTPS_PROXY:-}" + export no_proxy="$${NO_PROXY:-localhost,127.0.0.1}" + export VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 + export VLLM_WORKER_MULTIPROC_METHOD=spawn + export VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=0 + + if ! command -v vllm-router >/dev/null 2>&1; then + echo "[vllm] installing vllm-router $$VLLM_ROUTER_VERSION" + pip install --quiet --no-cache-dir "vllm-router==$$VLLM_ROUTER_VERSION" + fi + + wait_for_backend() { + name="$1" + port="$2" + timeout_s="$$VLLM_BACKEND_READY_TIMEOUT_SECONDS" + deadline=$$((SECONDS + timeout_s)) + delay=5 + max_delay=30 + echo "[vllm] waiting for $$name on :$$port (timeout $${timeout_s}s)" + while true; do + if curl -fsS -H "Authorization: Bearer $$VLLM_API_KEY" "http://127.0.0.1:$$port/v1/models" >/dev/null 2>&1; then + echo "[vllm] $$name ready" + return 0 + fi + if [ "$$SECONDS" -ge "$$deadline" ]; then + echo "[vllm] timed out waiting for $$name after $${timeout_s}s" >&2 + return 1 + fi + echo "[vllm] $$name not ready yet; retrying in $${delay}s" + sleep "$$delay" + if [ "$$delay" -lt "$$max_delay" ]; then + delay=$$((delay * 2)) + if [ "$$delay" -gt "$$max_delay" ]; then + delay="$$max_delay" + fi + fi + done + } + + # Serial startup: bring embedding fully up before launching chat so the + # two models do not load at the same time and contend for GPU 0 memory. + echo "[vllm] starting embedding on :18104 (background)" + ( + export ZE_AFFINITY_MASK=0 + exec vllm serve /llm/models/KaLM-embedding-v2.5 \ + --served-model-name KaLM-embedding-v2.5 \ + --runner pooling --convert embed \ + --port 18104 --host 0.0.0.0 \ + --gpu-memory-util 0.15 \ + --trust-remote-code --disable-log-requests \ + --api-key $${VLLM_API_KEY:?VLLM_API_KEY must be set} \ + --dtype float16 --enforce-eager \ + > >(tee -a /llm/logs/vllm-embed.log | sed 's/^/[vllm-embed] /') 2>&1 + ) & + + wait_for_backend embed 18104 || echo "[vllm] embed not ready; starting chat anyway" + + echo "[vllm] starting chat on :18103 (background)" + ( + export ZE_AFFINITY_MASK=0,1,2,3 + exec vllm serve /llm/models/Qwen3-Coder-Next \ + --served-model-name Qwen3-Coder-Next \ + --port 18103 --host 0.0.0.0 \ + --tensor-parallel-size 4 \ + --quantization fp8 \ + --gpu-memory-util 0.85 \ + --max-num-batched-tokens 8192 \ + --max-model-len 262144 \ + --block-size 64 \ + --dtype float16 \ + --api-key $${VLLM_API_KEY:?VLLM_API_KEY must be set} \ + --tool-call-parser qwen3_coder \ + --default-chat-template-kwargs '{"enable_thinking": false}' \ + --enforce-eager \ + --trust-remote-code \ + --disable-log-requests \ + --enable-prefix-caching \ + --enable-auto-tool-choice \ + > >(tee -a /llm/logs/vllm-chat.log | sed 's/^/[vllm-chat] /') 2>&1 + ) & + + ( + wait_for_backend chat 18103 + wait_for_backend embed 18104 + + echo "[vllm] waiting for router on :$$ROUTER_PORT" + for i in $(seq 1 60); do + curl -fsS -H "Authorization: Bearer $$VLLM_API_KEY" \ + "http://127.0.0.1:$$ROUTER_PORT/v1/models" >/dev/null 2>&1 && break + sleep 1 + done + + echo "[vllm] registering chat backend" + curl -fsS -X POST -H "Authorization: Bearer $$VLLM_API_KEY" \ + -H 'Content-Type: application/json' \ + "http://127.0.0.1:$$ROUTER_PORT/workers" \ + -d '{"url":"http://127.0.0.1:18103","model_id":"Qwen3-Coder-Next"}' \ + | sed 's/^/[init] /' || true + echo + + echo "[vllm] registering embed backend" + curl -fsS -X POST -H "Authorization: Bearer $$VLLM_API_KEY" \ + -H 'Content-Type: application/json' \ + "http://127.0.0.1:$$ROUTER_PORT/workers" \ + -d '{"url":"http://127.0.0.1:18104","model_id":"KaLM-embedding-v2.5"}' \ + | sed 's/^/[init] /' || true + echo + ) & + + echo "[vllm] starting vllm-router on :$$ROUTER_PORT (foreground, enable-igw)" + + # Watchdog: periodically verify generation sanity and self-exit on + # repeated failure so restart:unless-stopped can restart the container + # Controllable via SUPERCLAW_WATCHDOG_* env vars + if [ "$${SUPERCLAW_WATCHDOG_ENABLED:-true}" = "true" ]; then + ( + set -o pipefail + interval=$${SUPERCLAW_WATCHDOG_INTERVAL_S:-60} + max_fails=$${SUPERCLAW_WATCHDOG_FAILURES:-3} + expected=$${SUPERCLAW_WATCHDOG_CANARY_EXPECTED:-Hello} + _wd_max_restarts=$${SUPERCLAW_WATCHDOG_MAX_RESTARTS:-5} + _wd_window_s=$$(( $${SUPERCLAW_WATCHDOG_RESTART_WINDOW_MINUTES:-60} * 60 )) + fails=0 + + # On startup: check if the restart budget is already exhausted (or expired). + if [ "$$_wd_max_restarts" -gt 0 ] && [ -f /llm/logs/.watchdog_state ]; then + _wd_attempts=$$(python3 -c "import json; d=json.load(open('/llm/logs/.watchdog_state')); print(d.get('attempts',0))" 2>/dev/null || echo 0) + # Only apply the stability window when restarts have actually occurred. + # Skipping when attempts=0 avoids a spurious "window elapsed" log on + # every clean first boot (the pre-created file has no last_attempt_ts). + if [ "$$_wd_attempts" -gt 0 ]; then + _wd_last_ts=$$(python3 -c "import json; d=json.load(open('/llm/logs/.watchdog_state')); print(d.get('last_attempt_ts',0))" 2>/dev/null || echo 0) + _wd_elapsed=$$(( $$(date +%s) - _wd_last_ts )) + if [ "$$_wd_elapsed" -ge "$$_wd_window_s" ]; then + echo "[watchdog] restart window elapsed ($${_wd_elapsed}s >= $${_wd_window_s}s) — resetting counter (was $$_wd_attempts/$$_wd_max_restarts)" >&2 + python3 -c "import json; json.dump({'attempts': 0}, open('/llm/logs/.watchdog_state', 'w'))" 2>/dev/null || true + _wd_attempts=0 + fi + fi + if [ "$$_wd_attempts" -ge "$$_wd_max_restarts" ]; then + echo "[watchdog] MAX RESTARTS REACHED ($$_wd_attempts/$$_wd_max_restarts) — entering monitoring-only mode (no auto-kill). Run 'superclaw-ctl up' to reset." >&2 + exit 0 + fi + fi + + echo "[watchdog] waiting for Qwen3-Coder-Next to appear in router /v1/models" + while true; do + if curl -sf --max-time 10 \ + -H "Authorization: Bearer $$VLLM_API_KEY" \ + "http://127.0.0.1:$$ROUTER_PORT/v1/models" 2>/dev/null \ + | grep -q "Qwen3-Coder-Next"; then + echo "[watchdog] Qwen3-Coder-Next registered — starting canary loop (interval=$${interval}s, max_fails=$$max_fails, max_restarts=$$_wd_max_restarts)" + break + fi + sleep 10 + done + + while true; do + sleep "$$interval" + if ! RESP=$$(curl -sf --max-time 10 \ + -H "Authorization: Bearer $$VLLM_API_KEY" \ + -H 'Content-Type: application/json' \ + "http://127.0.0.1:$$ROUTER_PORT/v1/chat/completions" \ + -d '{"model":"Qwen3-Coder-Next","messages":[{"role":"user","content":"hi"}],"max_tokens":1,"temperature":0}' \ + 2>/dev/null); then + echo "[watchdog] canary curl failed — counting as failure" >&2 + fails=$$((fails + 1)) + if [ "$$fails" -ge "$$max_fails" ]; then + echo "[watchdog] consecutive failure limit reached - triggering restart" >&2 + python3 -c "import json,time,os; f='/llm/logs/.watchdog_state'; d=(json.load(open(f)) if os.path.exists(f) else {}); d['attempts']=d.get('attempts',0)+1; d['last_attempt_ts']=int(time.time()); json.dump(d,open(f,'w'))" 2>/dev/null || true + kill 1 + fi + continue + fi + CONTENT=$$(printf '%s' "$$RESP" | \ + python3 -c "import sys,json; d=json.load(sys.stdin); print(d['choices'][0]['message']['content'].strip())" \ + 2>/dev/null || true) + if [ "$$CONTENT" = "$$expected" ]; then + fails=0 + # Stability window: reset the restart counter once the model has been + # continuously healthy since the last restart for longer than the window. + # Guard on _wd_attempts > 0 to avoid spurious resets on a clean boot + # where the pre-created state file has attempts=0 and no last_attempt_ts. + if [ "$$_wd_max_restarts" -gt 0 ] && [ -f /llm/logs/.watchdog_state ]; then + _wd_chk_attempts=$$(python3 -c "import json; d=json.load(open('/llm/logs/.watchdog_state')); print(d.get('attempts',0))" 2>/dev/null || echo 0) + if [ "$$_wd_chk_attempts" -gt 0 ]; then + _wd_last_ts=$$(python3 -c "import json; d=json.load(open('/llm/logs/.watchdog_state')); print(d.get('last_attempt_ts',0))" 2>/dev/null || echo 0) + if [ $$(( $$(date +%s) - _wd_last_ts )) -ge "$$_wd_window_s" ]; then + echo "[watchdog] stability window passed — resetting restart counter (was $$_wd_chk_attempts/$$_wd_max_restarts)" >&2 + python3 -c "import json; json.dump({'attempts': 0}, open('/llm/logs/.watchdog_state', 'w'))" 2>/dev/null || true + fi + fi + fi + else + fails=$$((fails + 1)) + echo "[watchdog] canary fail $$fails/$$max_fails: got '$$CONTENT', expected '$$expected'" >&2 + if [ "$$fails" -ge "$$max_fails" ]; then + echo "[watchdog] consecutive failure limit reached — triggering restart" >&2 + python3 -c "import json,time,os; f='/llm/logs/.watchdog_state'; d=(json.load(open(f)) if os.path.exists(f) else {}); d['attempts']=d.get('attempts',0)+1; d['last_attempt_ts']=int(time.time()); json.dump(d,open(f,'w'))" 2>/dev/null || true + kill 1 + fi + fi + done + ) & + fi + + exec vllm-router \ + --host "$$ROUTER_HOST" --port "$$ROUTER_PORT" \ + --enable-igw --policy round_robin \ + --api-key "$${VLLM_API_KEY}" \ + > >(tee -a /llm/logs/router.log | sed 's/^/[router] /') 2>&1 + healthcheck: + # Two-stage probe + # Stage 1 - liveness: both models registered in /v1/models + # Stage 2 - generation sanity: POST /v1/chat/completions and assert expected first token + # Runs when: + # (a) watchdog is disabled (SUPERCLAW_WATCHDOG_ENABLED != "true"), OR + # (b) watchdog is dormant (max restarts reached) — avoids a gap where the + # container reports healthy while generation remains broken and the + # watchdog has stopped auto-restarting. + test: + - CMD-SHELL + - | + curl -sf -H "Authorization: Bearer $${VLLM_API_KEY:?VLLM_API_KEY must be set}" \ + "http://127.0.0.1:$${ROUTER_PORT:-8080}/v1/models" \ + | grep -q Qwen3-Coder-Next \ + && curl -sf -H "Authorization: Bearer $${VLLM_API_KEY:?VLLM_API_KEY must be set}" \ + "http://127.0.0.1:$${ROUTER_PORT:-8080}/v1/models" \ + | grep -q KaLM-embedding-v2.5 \ + || exit 1 + _hc_run_canary=false + if [ "$${SUPERCLAW_WATCHDOG_ENABLED:-true}" != "true" ]; then + _hc_run_canary=true + elif [ -f /llm/logs/.watchdog_state ]; then + _hc_max=$${SUPERCLAW_WATCHDOG_MAX_RESTARTS:-5} + if [ "$$_hc_max" -gt 0 ]; then + _hc_attempts=$$(python3 -c "import json; d=json.load(open('/llm/logs/.watchdog_state')); print(d.get('attempts',0))" 2>/dev/null || echo 0) + if [ "$$_hc_attempts" -ge "$$_hc_max" ]; then + _hc_run_canary=true + fi + fi + fi + if [ "$$_hc_run_canary" = "true" ]; then + RESP=$$(curl -sf --max-time 10 \ + -H "Authorization: Bearer $${VLLM_API_KEY:?VLLM_API_KEY must be set}" \ + -H 'Content-Type: application/json' \ + "http://127.0.0.1:$${ROUTER_PORT:-8080}/v1/chat/completions" \ + -d '{"model":"Qwen3-Coder-Next","messages":[{"role":"user","content":"hi"}],"max_tokens":1,"temperature":0}') || exit 1 + CONTENT=$$(printf '%s' "$$RESP" | \ + python3 -c "import sys,json; d=json.load(sys.stdin); print(d['choices'][0]['message']['content'].strip())" 2>/dev/null) || exit 1 + [ "$$CONTENT" = "$${SUPERCLAW_WATCHDOG_CANARY_EXPECTED:-Hello}" ] + fi + interval: 30s + timeout: 20s + retries: 120 + start_period: 300s + restart: unless-stopped diff --git a/superclaw-ctl/src/superclaw_ctl/vllm_models.json b/superclaw/superclaw-ctl/src/superclaw_ctl/vllm_models.json similarity index 92% rename from superclaw-ctl/src/superclaw_ctl/vllm_models.json rename to superclaw/superclaw-ctl/src/superclaw_ctl/vllm_models.json index ed98fb42..588f4db4 100644 --- a/superclaw-ctl/src/superclaw_ctl/vllm_models.json +++ b/superclaw/superclaw-ctl/src/superclaw_ctl/vllm_models.json @@ -9,6 +9,7 @@ "repo": "Qwen/Qwen3-Coder-Next", "revision": "main", "local_dir_name": "Qwen3-Coder-Next", + "size_bytes_approx": 159376358361, "vllm_args": { "served_model_name": "Qwen3-Coder-Next", "port": 18103, @@ -25,6 +26,7 @@ "repo": "KaLM-Embedding/KaLM-embedding-multilingual-mini-instruct-v2.5", "revision": "main", "local_dir_name": "KaLM-embedding-v2.5", + "size_bytes_approx": 1995486434, "vllm_args": { "served_model_name": "KaLM-embedding-v2.5", "port": 18104, diff --git a/superclaw-ctl/uv.lock b/superclaw/superclaw-ctl/uv.lock similarity index 99% rename from superclaw-ctl/uv.lock rename to superclaw/superclaw-ctl/uv.lock index 27a7a682..33644ebb 100644 --- a/superclaw-ctl/uv.lock +++ 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