vllm-project/vllm

21 other commands the scanner could not classify

Commands from CI steps and task runners that look like checks but match no known tool. Some are checks, some are not.

• bash
• bash -c echo "To bypass all the pre-commit hooks, add --no-verify to git commit. To skip a specific hook, prefix the ...
• bash docker/entrypoints/test_vllm_nonroot_entrypoint.sh
• pre-commit hook clang-format
• pre-commit hook markdownlint-cli2
• pre-commit hook pip-compile
• pre-commit hook typos
• python tools/generate_versions_json.py --check
• python tools/pre_commit/check_agent_files.py
• python tools/pre_commit/check_boolean_context_manager.py
• python tools/pre_commit/check_buildkite_step_keys.py
• python tools/pre_commit/check_dockerignore_tracked.py
• python tools/pre_commit/check_forbidden_imports.py
• python tools/pre_commit/check_github_actions_pins.py
• python tools/pre_commit/check_init_lazy_imports.py
• python tools/pre_commit/check_label_rules.py
• python tools/pre_commit/check_spdx_header.py
• python tools/pre_commit/check_test_tethering.py
• python tools/pre_commit/check_torch_cuda.py
• python tools/pre_commit/check_trust_remote_code.py
• python tools/pre_commit/generate_nightly_torch_test.py

full scan as JSON

• Eliminate code redundancyKeep your codebase maintainable by eliminating both unnecessary and duplicated code: 1. **Remove debugging artifacts**: Delete commented-...

  vllm-project/vllm Code Style Python llm-infra 2025-07-07

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• Document code thoroughlyAlways include comprehensive documentation for your code through both\ \ docstrings and explanatory comments. \n\nFor classes, functions,...

  vllm-project/vllm Documentation Python llm-infra 2025-07-07

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• Avoid magic numbersReplace hardcoded values and magic numbers in AI model code with named constants or configuration parameters. This improves maintainabili...

  vllm-project/vllm AI Python llm-infra 2025-07-07

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• Catch specific exception typesAvoid using broad exception handlers like `except Exception:` or bare `except:`. Instead, catch specific exception types that you expect ...

  vllm-project/vllm Error Handling Python llm-infra 2025-07-08

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• Vectorize over Python loopsReplace Python loops and list comprehensions with vectorized operations when processing tensors or performing repeated computations. This...

  vllm-project/vllm Performance Optimization Python llm-infra 2025-07-08

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• Follow logging best practicesMaintain high-quality logging throughout the codebase by following these best practices: 1. **Use appropriate log levels**: Reserve `debu...

  vllm-project/vllm Logging Python llm-infra 2025-07-08

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• Check before accessAlways verify that objects, attributes, and variables are not None before accessing their properties, calling their methods, or using the...

  vllm-project/vllm Null Handling Python llm-infra 2025-07-07

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• Use self-documenting namesVariable, function, and parameter names should accurately reflect their purpose, behavior, and content. Choosing descriptive names improv...

  vllm-project/vllm Naming Conventions Python llm-infra 2025-07-08

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• Process configurations consistentlyEnsure that configuration data is processed consistently and correctly throughout the codebase. This includes: 1. **Use proper serializat...

  vllm-project/vllm Configurations Python llm-infra 2025-07-07

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• Stable documentation linksEnsure all documentation links are stable, consistent, and correctly targeted to improve navigation and long-term maintainability: 1. **U...

  vllm-project/vllm Documentation Markdown llm-infra 2025-07-07

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• Preserve API compatibilityWhen modifying API interfaces, parameters, or argument behavior, ensure backward compatibility is maintained to prevent breaking existing...

  vllm-project/vllm API Python llm-infra 2025-07-07

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• Validate algorithmic operations carefullyMathematical and logical operations require careful validation to ensure correctness. Common issues include: 1. Operator precedence in co...

  vllm-project/vllm Algorithms Python llm-infra 2025-07-07

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• Remove unnecessary code elementsKeep code clean and maintainable by removing unnecessary elements that add complexity without value: 1. Remove unused header includes tha...

  vllm-project/vllm Code Style CUDA llm-infra 2025-07-03

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• Document AI model capabilitiesProvide clear, comprehensive documentation for AI model capabilities, especially for multimodal features and deployment scenarios. Includ...

  vllm-project/vllm AI Markdown llm-infra 2025-07-08

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• Secure before deploymentRemove or secure development-specific code before deploying to production environments. Development artifacts like debug print statements...

  vllm-project/vllm Security Python llm-infra 2025-07-05

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• Protect shared stateWhen mutable state (like dictionaries, lists, or counters) is accessed from multiple threads or concurrent tasks, use appropriate synchro...

  vllm-project/vllm Concurrency Python llm-infra 2025-06-27

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• Environment-aware configuration valuesWhen creating configuration files or defining configuration constants, ensure they properly adapt to different environments (Python versi...

  vllm-project/vllm Configurations Other llm-infra 2025-07-08

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• Combine identical CSSWhen multiple CSS selectors share identical styling properties, combine them using comma separation rather than duplicating the same rule...

  vllm-project/vllm Code Style Css llm-infra 2025-07-07

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• Optimize GPU executionEnsure GPU code is optimized for both proper thread utilization and correct architecture dispatching: 1. **Maximize thread parallelism** ...

  vllm-project/vllm Performance Optimization CUDA llm-infra 2025-07-07

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• Match reference namesEnsure that filenames and paths referenced in scripts, commands, or configuration files exactly match the actual names of the files they ...

  vllm-project/vllm Naming Conventions Other llm-infra 2025-07-03

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• AI model persistenceWhen containerizing AI applications, ensure proper model persistence by mounting volumes to the default cache locations used by AI framew...

  vllm-project/vllm AI Other llm-infra 2025-06-28

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• Optimize tensor memory operationsWhen working with PyTorch tensors, use memory-efficient operations that avoid unnecessary copies. Specify memory formats directly during ...

  vllm-project/vllm Pytorch Python llm-infra 2025-06-25

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