L Hub
completed
Web App
web_app / json · tiny
27
Files
7,163
LOC
3
Frameworks
5
Languages
Pipeline State
completedRun ID
#186437Phase
doneProgress
0%Started
2026-04-10 19:33:42Finished
2026-04-10 19:33:42LLM tokens
0Partial failures: SYMBOL_EXTRACTION: SymbolRecord.__init__() got an unexpected keyword argument 'tsv'; AI_REASONING: SymbolRecord.__init__() got an unexpected keyword argument 'tsv'
Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
71.68Framework unique
—Isolation
—Last stage change
2026-05-10 03:34:40Deduplication group #1913657
Member of a group with 3 similar repo(s) — this repo is canonical view group →
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🧪 Code Distillation
Browse all specs →Sample distilled functions (click for full spec)
postMessageSends a message payload to the VS Code extension API if it is available; otherwise, it logs a mock message to the console. The function accepts a single argument, which is the message content of any type. It returns nothing and has no observable side effects other than potentially calling the underl
constructorInitializes a new instance by checking for the existence of the acquireVsCodeApi function. If the function is available, it calls it to set the internal vsCodeApi property; otherwise, it sets this property to null. This constructor has no explicit inputs and its primary output is a fully configured
VSCodeAPIWrapperInitializes an instance to manage communication with the VS Code environment by attempting to acquire the necessary API object. It accepts no inputs upon instantiation but stores the VS Code API or null if unavailable. The function provides a method to send a message payload, which either transmits
AI Prompt
Create a web application called L-Hub that functions as an intelligent Multi-Model Communication Protocol (MCP) AI Bridge. The goal is to automatically route subtasks to the most suitable expert AI model to reduce token usage and cost. The system needs to support automatic task routing for various types, such as code generation, translation, and UI design, matching them to models like GPT/Codex 5.3, Qwen-Max, and Gemini 3.1 Pro. It should allow connecting to over 20 models from various vendors (OpenAI, Google, etc.) via a unified interface, and ideally support connecting without needing API keys using OAuth for services like ChatGPT and Gemini. Please structure the project using React for the frontend and Express for the backend.
javascript react express web-app ai llm model-routing typescript api-bridge
Generated by gemma4:latest
Catalog Information
Create a web application called L-Hub that functions as an intelligent Multi-Model Communication Protocol (MCP) AI Bridge. The goal is to automatically route subtasks to the most suitable expert AI model to reduce token usage and cost. The system needs to support automatic task routing for various types, such as code generation, translation, and UI design, matching them to models like GPT/Codex 5.3, Qwen-Max, and Gemini 3.1 Pro. It should allow connecting to over 20 models from various vendors (
Tags
javascript react express web-app ai llm model-routing typescript api-bridge
Security & Health
15
Vulnerabilities
0
Critical CVEs
15.2h
Tech Debt (D)
Elite
DORA Rating
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B
OWASP (80%)
FAIL
Quality Gate
3.2%
Duplication
Languages
Frameworks
React Express Webpack
Symbols
variable164
function40
method38
constant18
interface11
class6
type_alias3
Threat Findings
15
Total Threats
0
Critical
Repobility · MCP-ready · https://repobility.com
4
High
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