docs: Remove numpy from auto-excluded build packages

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Updates the flash build docs to remove numpy from the auto-excluded packages list. NumPy was incorrectly being stripped from CPU endpoint builds because CPU base images (python-slim) don't ship it pre-installed. Now clarifies that only CUDA/GPU packages (torch, torchvision, torchaudio, triton) are auto-excluded.

Trigger Events

runpod/flash PR #263: fix(build): remove numpy from dependency blacklist, rename to SIZE_PROHIBITIVE_PACKAGES

Promptless Research (6 files, 1 GitHub PR)

• Reviewed runpod/flash#263
• Viewed .long_term_context/product_knowledge/product_overview.md
• Viewed .long_term_context/doc_workflow/client_instructions.md
• Viewed flash/cli/build.mdx
• Viewed flash/apps/build-app.mdx
• Viewed flash/troubleshooting.mdx
• Viewed .long_term_context/style/client_style_guide.md

Agent Response

I've created a documentation suggestion based on PR #263.

Summary

PR #263 renames BASE_IMAGE_PACKAGES to SIZE_PROHIBITIVE_PACKAGES and removes numpy from the auto-exclusion list. The root cause was that the blacklist was defined by what the GPU base image ships, not by actual size constraints. This was silently breaking CPU endpoints that declared numpy as a dependency (since CPU images use python-slim which doesn't have numpy pre-installed).

Documentation changes

I updated flash/cli/build.mdx to:

1. Remove numpy from the auto-excluded packages list — Now only shows torch, torchvision, torchaudio, triton

2. Updated the base image reference table — Removed numpy from both GPU and CPU rows

3. Added a clarifying note — Explains that packages like numpy are not auto-excluded, and that CPU endpoints can include numpy in their dependencies

4. Updated the troubleshooting section — Removed numpy from the "Archive is too large" error guidance

Suggestion URL: https://app.gopromptless.ai/suggestions/0710efec-63af-4d9a-bc1c-913f0cf45a5f

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Citation: PR #263 renames BASE_IMAGE_PACKAGES to SIZE_PROHIBITIVE_PACKAGES and removes numpy from the list. The root cause was that the blacklist was defined by GPU base image contents, not size constraints, which silently broke CPU endpoints using python-slim that needed numpy. See changes in src/runpod_flash/cli/commands/build.py.
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Citation: Updated to match the new SIZE_PROHIBITIVE_PACKAGES constant in src/runpod_flash/cli/commands/build.py. Each package is annotated with its approximate size: torch (~500 MB), torchvision (~50 MB), torchaudio (~30 MB), triton (~150 MB).
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