CLI for HyperCLI - GPU orchestration and LLM API
Project description
C3 CLI
Command-line interface for HyperCLI - GPU orchestration and LLM API.
Installation
pip install c3-cli
This also installs the c3-sdk as a dependency.
Setup
Configure your API key:
c3 configure
Or set via environment:
export C3_API_KEY=your_key
Or create ~/.c3/config:
C3_API_KEY=your_key
Get your API key at hypercli.com/dashboard
Usage
Billing
c3 billing balance
c3 billing transactions
c3 billing balance -o json
LLM
# List models
c3 llm models
# Quick chat
c3 llm chat deepseek-v3.1 "Explain quantum computing"
# Interactive chat
c3 llm chat deepseek-v3.1
# With system prompt
c3 llm chat deepseek-v3.1 "Write a haiku" -s "You are a poet"
Jobs
# List jobs
c3 jobs list
c3 jobs list -s running
# Create a job
c3 jobs create nvidia/cuda:12.0 -g l40s -c "python train.py"
# Create and follow logs with TUI
c3 jobs create nvidia/cuda:12.0 -g h100 -n 8 -c "torchrun train.py" -f
# Get job details
c3 jobs get <job_id>
# Stream logs
c3 jobs logs <job_id> -f
# Watch GPU metrics
c3 jobs metrics <job_id> -w
# Cancel
c3 jobs cancel <job_id>
# Extend runtime
c3 jobs extend <job_id> 7200
User
c3 user
Output Formats
c3 jobs list -o json
c3 billing balance -o table
License
MIT
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