CLI for HyperCLI - GPU orchestration and LLM API
Project description
hypercli-cli
Command-line interface for HyperCLI jobs, flows, x402 pay-per-use launches, and HyperClaw checkout tooling.
Install
pip install hypercli-cli
Configure
hyper configure
Core Commands
# GPU discovery and launch
hyper instances list
hyper instances launch nvidia/cuda:12.6.3-base-ubuntu22.04 -g l4 -c "nvidia-smi"
# x402 pay-per-use GPU launch
hyper instances launch nvidia/cuda:12.6.3-base-ubuntu22.04 -g l4 -c "nvidia-smi" --x402 --amount 0.01
# Job lifecycle
hyper jobs list
hyper jobs logs <job_id>
hyper jobs metrics <job_id>
hyper jobs exec <job_id> "nvidia-smi"
hyper jobs shell <job_id>
# Dry-run launch validation
hyper instances launch nvidia/cuda:12.6.3-base-ubuntu22.04 -g l4 -c "nvidia-smi" --dry-run
# Flows (recommended media path)
hyper flow text-to-image "a cinematic portrait"
hyper flow text-to-image "a cinematic portrait" --x402
# HyperClaw checkout/config
hyper agent plans
hyper agent subscribe basic
hyper agent config env
hyper agent exec <agent_id> "ls -la"
hyper agent shell <agent_id>
Notes
hyper llmcommand surface has been removed.- For inference setup, use HyperClaw (
hyper agent config ...) and your agent/client's OpenAI-compatible configuration.
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