Natural Language Builder
completed
Cli Tool
cli / json · small
96
Files
52,972
LOC
2
Frameworks
7
Languages
Pipeline State
completedRun ID
#407158Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
73.47Framework unique
—Isolation
—Last stage change
2026-05-10 03:34:46Deduplication group #1935522
Member of a group with 2 similar repo(s) — this repo is canonical view group →
Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/
🧪 Code Distillation
Browse all specs →Sample distilled functions (click for full spec)
_LogCapturePatches the print helper functions within the calling thread's CLI module, capturing and redirecting all output to a specified log store associated with a run ID. It accepts a run identifier string and a mutable list used to track the current step. Upon exiting the context, it restores the original
get_run_logs_sseStreams a Server-Sent Events feed containing the log history and subsequent real-time updates for a specified run ID. It accepts a run identifier string and an incoming request object, yielding log events as they are retrieved from the system's run manager. The function first sends any buffered logs
get_artifact_fileRetrieves a file artifact associated with a given run ID and filename. It accepts a string for the run identifier and a string for the desired artifact name. The function returns a FileResponse object containing the file content, automatically determining the appropriate MIME type, with a special ad
AI Prompt
Create a command-line tool that acts as a "Red Team" for structural engineering designs. The tool should take a plain English description of a bridge, like "3-span continuous steel plate girder over the Kishwaukee River," and process it through a pipeline. This pipeline needs to parse the natural language to extract details, run site reconnaissance for environmental factors, and then use specialized component tools for foundations, substructures, bearings, and superstructures. Finally, it must assemble everything into a full OpenSees nonlinear model and generate a ranked vulnerability report. The project should utilize Python and FastAPI for the backend logic.
python cli fastapi structural-engineering natural-language-processing opensees simulation red-teaming
Generated by gemma4:latest
Catalog Information
Create a command-line tool that acts as a "Red Team" for structural engineering designs. The tool should take a plain English description of a bridge, like "3-span continuous steel plate girder over the Kishwaukee River," and process it through a pipeline. This pipeline needs to parse the natural language to extract details, run site reconnaissance for environmental factors, and then use specialized component tools for foundations, substructures, bearings, and superstructures. Finally, it must a
Tags
python cli fastapi structural-engineering natural-language-processing opensees simulation red-teaming
Security & Health
24.8h
Tech Debt (B)
Elite
DORA Rating
A
OWASP (90%)
FAIL
Quality Gate
Repobility · MCP-ready · https://repobility.com
2.9%
Duplication
Languages
Frameworks
FastAPI pytest
Symbols
variable362
function249
constant121
class66
method44
property28
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BinComp Dependency Hardening
All packages →5 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.