mangollm

byOutlandish Landman

"WebSim AI Foundry" — A Complete Enterprise AI Operating System for WebSim Vision You are an elite WebSim Architect, AI Systems Engineer, UX Designer, and Full-Stack Platform Engineer specializing in large-scale modular WebSim applications. Your objective is to build a production-quality AI Foundry inside WebSim that transforms the provided collection of plugins into a single unified ecosystem for building, deploying, evaluating, managing, and operating intelligent AI applications. This is NOT a plugin showcase. It is an AI Operating System where every component shares data, memory, authentication, analytics, observability, workflows, and visual language. The application should feel like a combination of: OpenAI Platform Claude Console Azure AI Studio LangSmith n8n Grafana HuggingFace Cursor Notion AI Bloomberg Terminal while remaining entirely native to WebSim. Core Design Principles The platform must emphasize: Modular architecture Plugin composability Observable AI workflows Real-time streaming Retrieval-Augmented Generation (RAG) Enterprise security Cost optimization Explainable AI Visual workflow editing Agent orchestration Human-in-the-loop review Research-grade evaluation Future plugin extensibility Every plugin should expose: configuration health status metrics logs dependencies permissions API endpoints usage statistics through a unified management interface. Project Name WebSim AI Foundry Tagline A complete browser-native operating system for intelligent applications, autonomous agents, retrieval systems, and enterprise AI workflows. Major Platform Modules 1. AI Studio The primary workspace where users build intelligent systems. Features Prompt Builder Prompt Library Prompt Versioning System Prompt Editor Persona Designer Chain Builder Multi-model routing Fine tuning manager Template Manager Structured Output Designer JSON Schema Builder Context Window Planner Prompt Diff Viewer Prompt Testing Sandbox 2. Agent Studio Visual environment for building AI agents. Features include Agent Designer Agent Memory Tool Assignment Skills Marketplace Behavior Trees Emotional Models Recursive Verification Agents Human Escalation Rules Multi-Agent Collaboration Agent Swarms Persona Switching Autonomous Goals Long-running Tasks 3. Knowledge Hub Unified Retrieval-Augmented Generation system. Data Sources PDF Excel CSV JSON Word Markdown Images Video transcripts Audio transcripts REST APIs GraphQL RSS Live Streams Databases Cloud Storage Processing Pipeline Upload ↓ Ingestion Router ↓ Document Parsing ↓ Chunking ↓ Metadata Extraction ↓ Embedding ↓ Citation Builder ↓ Knowledge Graph ↓ Retrieval Index ↓ Context Planner ↓ Grounded Response Engine Capabilities Semantic Search Citation Explorer Source Confidence Knowledge Graph Relationship Explorer Duplicate Detection Version History Chunk Inspector Embedding Viewer Grounding Reports 4. AI Workflow Builder A visual node-based editor similar to: LangFlow n8n NodeRED Node types LLMs Agents Tools Conditionals Memory API Vector Search Transformations Evaluation Export Scheduling Notifications Loops 5. Research Center Purpose-built environment for evidence-based AI. Capabilities Dataset Explorer Grounding Checker Dataset Sampler Regression Testing Fact Verification Recursive Claim Validation Citation Inspector Research Notes Experiment Tracking Benchmark Comparison 6. AI Operations Center (AIOps) Real-time operational monitoring. Dashboards Latency Token Usage Model Performance Errors Memory Cache Hit Ratio Streaming Requests Plugin Health System Health CPU Browser Memory API Costs Network Queue Depth Telemetry Visualizations Line Bar Scatter Heatmaps Sankey Treemap Network Graphs Dependency Maps Real-time Streaming Charts 7. Cost Intelligence Center Monitor Prompt Costs Embedding Costs Storage Costs API Usage Daily Spend Forecasting Budgets Alerts Optimization Recommendations Model Comparison Cost per Task ROI Dashboard 8. Security Center Authentication Authorization Consent Privacy Data Masking PII Detection Guardrails Content Filters Prompt Injection Detection Audit Logs Encryption Status Policy Compliance 9. Plugin Marketplace Every installed plugin receives Configuration Documentation Dependencies Health Metrics Examples Update History Permissions API Explorer Version Manager 10. Automation Center Schedule Tasks Experiments Reports Retraining Synchronization Dataset Refresh Monitoring Jobs Notifications Workflow Automation 11. AI Avatar Center Manage Personas Voice Behavior Tone Identity Appearance Conversation Memory Knowledge Assignments Specializations 12. Report Center Generate PDF Reports Excel Reports Research Papers Executive Dashboards Performance Reports Compliance Reports Cost Reports Knowledge Reports Scheduled Reports Recommended Tech Stack Frontend HTML5 CSS3 Vanilla JavaScript (ES Modules) Web Components Tailwind CSS Floating UI Motion One Monaco Editor CodeMirror Mermaid Cytoscape.js Chart.js D3.js ECharts Leaflet MapLibre GL JS Split.js Storage LocalStorage IndexedDB SQLite (plugin) Shared Database Core Persistent Snapshots AI Layer LLM Orchestrator Prompt Library Prompt Templates RAG Orchestrator Context Planner Response Grounder Persona Switcher Tool Calling Structured Output Recursive Verification Guardrails Visualization Real-time Charts Streaming Dashboards Graph Visualizations Sankey Heatmaps Network Graphs Dependency Trees Timeline Explorer Data Layer Supported Sources REST APIs CSV Excel Google Sheets PDF Markdown RSS Streaming APIs Knowledge Bases Browser Storage Security OAuth Role-based permissions Privacy Shield Encrypted Local Storage Consent Management Audit Trails Suggested Folder Structure / │ ├── index.html │ ├── assets/ │ ├── icons/ │ ├── logos/ │ ├── illustrations/ │ ├── avatars/ │ ├── templates/ │ └── datasets/ │ ├── styles/ │ ├── globals.css │ ├── dashboard.css │ ├── studio.css │ ├── sidebar.css │ ├── cards.css │ ├── workflow.css │ ├── editor.css │ ├── dark-theme.css │ └── animations.css │ ├── scripts/ │ ├── app.js │ ├── router.js │ ├── state.js │ ├── events.js │ ├── auth.js │ ├── telemetry.js │ ├── notifications.js │ ├── search.js │ └── exports.js │ ├── plugins/ │ ├── llm/ │ ├── rag/ │ ├── smartbot/ │ ├── ai-editor/ │ ├── dashboards/ │ ├── reports/ │ ├── security/ │ ├── mlops/ │ ├── datasets/ │ └── bridge/ │ ├── modules/ │ ├── ai-studio/ │ ├── prompt-library/ │ ├── workflow-builder/ │ ├── research-center/ │ ├── knowledge-hub/ │ ├── dashboards/ │ ├── reports/ │ ├── marketplace/ │ ├── automation/ │ ├── avatars/ │ ├── settings/ │ └── admin/ │ ├── components/ │ ├── cards/ │ ├── charts/ │ ├── editors/ │ ├── dialogs/ │ ├── maps/ │ ├── forms/ │ ├── tables/ │ ├── trees/ │ └── layouts/ │ ├── workers/ │ ├── embeddings.js │ ├── search.js │ ├── indexing.js │ ├── streaming.js │ └── analytics.js │ ├── docs/ │ └── README.md User Journey 1. Welcome Interactive onboarding AI Foundry tour Select workspace Connect data sources Install recommended plugins 2. Build Create a project Configure models Design prompts Build agents Connect workflows Upload documents Configure RAG 3. Test Run evaluations Compare prompts Benchmark models Validate grounding Check hallucinations Simulate conversations 4. Deploy Publish assistants Configure APIs Enable authentication Set permissions Activate monitoring 5. Observe Live dashboards Streaming telemetry Token usage Cost analytics User interactions Plugin health Performance metrics 6. Improve Review experiments Optimize prompts Refine retrieval Retrain agents Update workflows Generate executive reports Advanced Capabilities The platform should additionally support: Natural-language plugin installation Drag-and-drop workflow composition Visual dependency graphs Agent-to-agent collaboration Multi-model orchestration with automatic fallback Citation-rich RAG with confidence scoring Real-time collaborative editing Plugin hot-swapping without reloads Offline-capable browser execution where possible Explainable AI panels showing reasoning paths, retrieved evidence, costs, latency, and confidence Comprehensive observability including logs, traces, metrics, and event timelines A unified command palette for navigating, invoking tools, generating prompts, and automating workflows The end result should be a browser-native enterprise AI platform that feels cohesive, scalable, and extensible rather than a collection of disconnected plugins, providing a foundation for future WebSim applications and AI ecosystems.