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Convert SLURM submit scripts to Run.ai configurations using AI

Project description

s2r - SLURM to Run.ai Converter

Convert SLURM batch scripts to Run.ai configurations using AI.

Installation

pip install s2r

Quick Start

CLI Usage

# Convert file: saves job.yaml, prints runai CLI command to stdout
s2r job.slurm

# Convert file: saves output.yaml only (no CLI output)
s2r job.slurm output.yaml

# Convert from stdin: prints runai CLI command to stdout (no file)
s2r < my_slurm_script.sh

Library Usage

from s2r import convert_slurm_to_runai

slurm_script = """
#!/bin/bash
#SBATCH --job-name=my-job
#SBATCH --gres=gpu:2
#SBATCH --mem=32G

python train.py
"""

runai_config = convert_slurm_to_runai(slurm_script)
print(runai_config)

How It Works

  1. Client: The s2r library signs your SLURM script with HMAC-SHA256
  2. API: Sends the signed request to an AWS Lambda endpoint
  3. AI: Lambda calls AWS Bedrock (Claude) to perform the conversion
  4. Response: Returns the Run.ai YAML configuration or CLI commands

Features

  • Free to use: The service is provided at no cost (rate-limited)
  • Secure: Signed requests prevent unauthorized API usage
  • Rate-limited: 100 requests per IP per day
  • Simple: Works with stdin, files, or as a library

Configuration

By default, the tool uses a public API endpoint. If you're deploying your own:

export S2R_API_ENDPOINT=https://your-lambda-url.lambda-url.us-east-1.on.aws/

Example

Given this SLURM script:

#!/bin/bash
#SBATCH --job-name=pytorch-training
#SBATCH --nodes=1
#SBATCH --cpus-per-task=8
#SBATCH --mem=32G
#SBATCH --gres=gpu:2
#SBATCH --time=24:00:00

python train.py --epochs 100

The tool will generate an equivalent Run.ai configuration with:

  • GPU resource requests (2 GPUs)
  • CPU and memory allocations
  • Job name and command
  • Appropriate container/image specifications

Documentation

Current Deployment Status

Deployed Lambda Function (us-west-2):

  • Model: Claude Sonnet 4.5 (20250929)
  • Rate Limit: 100 requests/IP/day

Known Issues:

  • Function URL may return 403 Forbidden due to IAM permission constraints
  • See troubleshooting guide for resolution

Development

See CLAUDE.md for development commands and quick reference.

For detailed architecture and deployment information, see the docs/ directory.

Self-Hosting

To deploy your own instance:

# Clone repository
git clone https://github.com/yourusername/slurm2runai.git
cd slurm2runai

# Deploy Lambda function
cd lambda
python3 -m zipfile -c lambda.zip lambda_function.py
aws lambda create-function --function-name s2r-converter ...

# See https://github.com/dirkpetersen/slurm2runai/blob/main/docs/deployment.md for full instructions

License

MIT License - see LICENSE file for details.

Contributing

Contributions welcome! Please:

  1. Open an issue to discuss changes
  2. Follow the code style (ruff)
  3. Add tests for new features
  4. Update documentation

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