lyceum-cli 1.0.1

Command-line interface for Lyceum Cloud Execution API

Lyceum CLI

Command-line interface for Lyceum Cloud Execution API - Execute code, run inference, and manage batch processing in the cloud.

Features

• Code Execution: Run Python scripts and Docker containers on powerful cloud infrastructure
• AI Inference: Synchronous and batch inference with various AI models
• Batch Processing: OpenAI-compatible batch API for large-scale AI workloads
• Resource Management: List available machine types and monitor running jobs
• S3 Storage: Built-in file management with S3 backend

Installation

pip install lyceum-cli

Quick Start

1. Login with your API key:

lyceum login --api-key your-api-key-here

2. Run Python code:

lyceum run-python "print('Hello from the cloud!')"

3. List available resources:

lyceum machine-types

Batch Processing

Upload and process large batches of AI requests:

# Upload a JSONL file
lyceum batch upload requests.jsonl

# Create batch job
lyceum batch create file_abc123 --endpoint /v1/chat/completions

# Monitor progress
lyceum batch get batch_xyz789

# Download results
lyceum batch download file_output123

Command Structure

Legacy Commands (for compatibility)

• lyceum login / lyceum logout / lyceum status
• lyceum run-python / lyceum run-docker
• lyceum machine-types / lyceum list-jobs / lyceum abort

New Modular Commands

• lyceum auth login / lyceum auth logout / lyceum auth status
• lyceum python run / lyceum docker run
• lyceum workloads list / lyceum workloads abort / lyceum workloads history
• lyceum batch upload / lyceum batch create / lyceum batch list
• lyceum resources machine-types

Configuration

Configuration is stored in ~/.lyceum/config.json:

{
  "api_key": "your-api-key",
  "base_url": "https://api.lyceum.technology"
}

Support

• Documentation: https://docs.lyceum.technology
• Support: [e-mail]
• Issues: https://github.com/lyceum/lyceum-cli/issues