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Summary

Add Modal serverless platform documentation to the llm-code-docs repository.

Modal is a serverless cloud platform optimized for running Python code with GPU acceleration, particularly for ML/AI inference workloads.

  • Source: llms.txt (https://modal.com/llms.txt)
  • Files: 1 comprehensive documentation file (modal-full.md)
  • Size: 1.7 MB
  • Path: docs/llms-txt/modal/

Documentation Coverage

The Modal documentation includes:

  • Getting started and introduction
  • Custom container images and environment configuration
  • GPU and CUDA support
  • Scaling, batching, and job queues
  • Deployment and app management
  • Sandboxes for isolated execution
  • Secrets and environment variables
  • Web endpoints and API serving
  • Scheduled jobs and periodic tasks
  • Distributed volumes and storage
  • Reference documentation and API

Changes

  • Added Modal to scripts/llms-sites.yaml (alphabetically after Mistral)
  • Downloaded full llms.txt documentation from https://modal.com/
  • Redacted Docker PAT example for security
  • Updated index with Modal documentation entry

Generated with Claude Code

- Source: llms.txt (modal.com/llms.txt)
- Files: 1 file (modal-full.md)
- Size: 1.7 MB
- Path: docs/llms-txt/modal/
- Description: Modal serverless platform documentation covering functions, GPU acceleration, deployment, scheduled jobs, volumes, and containerization

Generated with Claude Code
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2 participants