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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 1aiu
hyper agent config env
hyper agent exec <agent_id> "ls -la"
hyper agent shell <agent_id>

Notes

  • hyper llm command surface has been removed.
  • For inference setup, use HyperClaw (hyper agent config ...) and your agent/client's OpenAI-compatible configuration.

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