vasted 0.1.0

Personal GPU launcher for on-demand LLM inference on Vast.ai

vasted

vasted is a CLI that launches on-demand Vast.ai GPU workers for llama.cpp GGUF inference and exposes a stable OpenAI-compatible /v1 endpoint.

Built by deeflect.com · Follow on X: x.com/deeflectcom

Demo

Why vasted

• Stable client endpoint while worker URLs rotate.
• Setup wizard for local machine and VPS deployments.
• Non-interactive automation mode for agents/CI.
• OpenAI-compatible proxy for tools that expect /v1 APIs.
• Session usage and cost tracking.
• Optional Telegram bot control commands.

Requirements

• Python 3.12+
• uv
• Vast.ai account + API key
• Optional: Telegram bot token (telegram extra)

Install

Use from source (recommended while iterating)

git clone https://github.com/deeflect/vasted.git
cd vasted
uv sync --extra dev

Run CLI commands from the repo:

uv run vasted --help

Install as a tool

uv tool install "git+https://github.com/deeflect/vasted.git"

Upgrade later:

uv tool upgrade vasted

Quick Start

uv run vasted setup
uv run vasted up
uv run vasted status --verbose

Client connection values after setup:

• Base URL: http://<host>:<port>/v1
• Auth header: Authorization: Bearer <token>

When proxy_host is 0.0.0.0, use your real machine/VPS IP or domain in clients.

Automation / Unattended Mode

Use non-interactive commands to avoid prompts:

uv run vasted setup --non-interactive \
  --vast-api-key "$VASTED_API_KEY" \
  --bearer-token "$VASTED_BEARER_TOKEN" \
  --client openclaw \
  --deployment-mode local_pc \
  --model qwen3-coder-30b \
  --quality balanced \
  --gpu-mode auto

uv run vasted up --non-interactive --yes --jinja --model qwen3-coder-30b --quality balanced --gpu-mode auto --no-serve
uv run vasted status --verbose
uv run vasted usage
uv run vasted down --force

Environment variables accepted by setup --non-interactive:

• VASTED_API_KEY
• VASTED_BEARER_TOKEN
• VASTED_CLIENT (openclaw, opencode, custom)
• VASTED_LLAMA_JINJA (true/false)
• VASTED_MODEL, VASTED_QUALITY, VASTED_GPU_MODE, VASTED_GPU_PRESET
• VASTED_DEPLOYMENT_MODE, VASTED_PROXY_HOST, VASTED_PROXY_PORT, VASTED_PUBLIC_HOST

Client Profiles and Jinja Behavior

setup supports client presets that define default llama.cpp --jinja behavior:

• --client openclaw: jinja on by default
• --client opencode: jinja off by default
• --client custom: keep/manual behavior

Per launch override is still available:

uv run vasted up --jinja
uv run vasted up --no-jinja

Command Reference

vasted setup [--non-interactive] [--manual] [--client openclaw|opencode|custom]
vasted up [--model ...] [--quality ...] [--gpu-mode auto|manual] [--gpu-preset ...] [--profile ...] [--max-price ...] [--jinja|--no-jinja] [--yes] [--non-interactive] [--serve|--no-serve]
vasted down [--force]
vasted status [--verbose]
vasted logs [--instance-id N] [--tail N]
vasted usage
vasted token show [--full]
vasted token rotate
vasted rotate-token
vasted config show
vasted profile list|add|use|remove
vasted completions <bash|zsh|fish>

Telegram Bot (Optional)

Install telegram extra and run:

uv sync --extra telegram
uv run python bot.py

Development

uv run ruff check .
uv run mypy app tests bot.py
uv run pytest -q

Project Layout

• app/commands/*: CLI command handlers
• app/service.py: worker lifecycle + launch policy
• app/proxy.py: OpenAI-compatible reverse proxy
• app/vast.py: Vast API integration + startup script generation
• app/usage.py: token/time/cost accounting
• app/user_config.py: persistent config + keyring integration
• app/state.py: runtime state persistence
• bot.py: optional Telegram control plane

Security

• Keep Vast API keys and bearer tokens private.
• Prefer localhost binds unless remote access is required.
• See SECURITY.md for disclosure policy.

Contributing

See CONTRIBUTING.md and run the validation commands before opening a PR.

License

MIT — see LICENSE.