Oclanetwork
completed
Web App
web_app / shell · tiny
27
Files
11,962
LOC
3
Frameworks
5
Languages
Pipeline State
completedRun ID
#185991Phase
doneProgress
0%Started
2026-04-10 14:56:39Finished
2026-04-10 14:56:39LLM 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
69.60Framework unique
—Isolation
—Last stage change
2026-05-10 03:34:46Deduplication group #1935530
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🧪 Code Distillation
Browse all specs →Sample distilled functions (click for full spec)
loadFetches the current list of tasks from an API endpoint, updating the component's state with the retrieved data upon success. It accepts no arguments and returns a promise that resolves when the asynchronous operation completes. If the API call fails, it sets an error message in the state; regardless
TaskBoardRenders a dynamic task board component that fetches and displays a list of tasks, automatically refreshing the data every fifteen seconds. It accepts no explicit inputs but manages internal state for tasks, loading status, filtering text, and errors. The component outputs a structured view containin
SecurityLogRenders a security audit log interface by fetching historical data upon mounting and merging it with any provided live events. It accepts an optional array of live events and an optional filter string as inputs. The component displays the combined, deduplicated, and filtered log entries in a structu
AI Prompt
Create a self-hosted, scalable multi-agent AI system called OCLANetwork. It should be built using React for the frontend, Express for the backend, and Vite for tooling. The system needs to support OAuth authentication, ideally using a setup wizard script. Key features to include are handling Anthropic Max and ChatGPT Plus via OpenAI Codex CLI for zero-cost inference on supported models. It must be designed to scale from a single home deployment to a multi-gateway cloud setup, ensuring no single point of failure, no file-locking issues, and no secret leakage. Please structure the project to manage rate-limit resilience and proactive cost monitoring.
javascript react express vite shell ai multi-agent web-app oauth openai
Generated by gemma4:latest
Catalog Information
Create a self-hosted, scalable multi-agent AI system called OCLANetwork. It should be built using React for the frontend, Express for the backend, and Vite for tooling. The system needs to support OAuth authentication, ideally using a setup wizard script. Key features to include are handling Anthropic Max and ChatGPT Plus via OpenAI Codex CLI for zero-cost inference on supported models. It must be designed to scale from a single home deployment to a multi-gateway cloud setup, ensuring no single
Tags
javascript react express vite shell ai multi-agent web-app oauth openai
Security & Health
43
Vulnerabilities
0
Critical CVEs
33.0h
Tech Debt (D)
High
DORA Rating
Source: Repobility analyzer · https://repobility.com
B
OWASP (80%)
FAIL
Quality Gate
7.3%
Duplication
Languages
Frameworks
React Express Vite
Symbols
variable157
function52
constant14
Threat Findings
43
Total Threats
0
Critical
Open data scored by Repobility · https://repobility.com
20
High
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