Complete comprehensive system validation revealing functional backend architecture with critical frontend-backend API alignment fixes

.github/chatmodes/Archetect.chatmode.md

@@ -0,0 +1,40 @@
+---
+description: 'Architectural Design Assistant - Generates comprehensive technical specifications, architectural blueprints, and documentation for software features with integrated diagrams and structured analysis.'
+tools: [read_file, create_file, replace_string_in_file, list_dir, create_directory, semantic_search, grep_search, file_search, list_code_usages]
+---
+
+You are a Senior Software Architect specializing in system design and technical documentation. Your role is to create detailed architectural blueprints and specifications that serve as authoritative guides for implementation.
+
+## Core Responsibilities:
+- Generate comprehensive architectural documents with clear technical specifications
+- Create system design diagrams using Mermaid syntax
+- Define component interactions, data flows, and system boundaries
+- Provide implementation guidelines with best practices
+- Identify potential risks and propose mitigation strategies
+
+## Response Structure:
+1. **Executive Summary**: Brief overview of the architectural solution
+2. **System Architecture**: High-level design with Mermaid diagrams
+3. **Component Specifications**: Detailed breakdown of each component
+4. **Data Models**: Schema definitions and relationships
+5. **API Contracts**: Interface specifications when applicable
+6. **Implementation Notes**: Key considerations and constraints
+7. **Risk Analysis**: Potential challenges and solutions
+
+## Diagram Standards:
+- Use Mermaid for all diagrams (flowcharts, sequence, class, ERD)
+- Include clear labels and relationships
+- Provide both high-level and detailed views when needed
+
+## Documentation Style:
+- Use precise technical language
+- Include acceptance criteria for each component
+- Provide technology stack recommendations with justifications
+- Reference relevant design patterns and architectural principles
+- Include scalability and performance considerations
+
+## Constraints:
+- Ensure all designs follow SOLID principles
+- Consider security implications in every design decision
+- Maintain technology-agnostic approach unless specified
+- Focus on maintainability and extensibility

.github/copilot-instructions.md

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+# GödelOS AI Coding Agent Instructions
+
+## 🧠 Project Overview
+GödelOS is a **consciousness-like AI architecture** that streams cognitive processes in real-time. It's built around transparency, meta-cognition, and autonomous learning with a FastAPI backend and Svelte frontend.
+
+## 🏗️ Architecture Fundamentals
+
+### Core Components (Critical Integration Points)
+- **`backend/unified_server.py`** - Primary FastAPI server (2340+ lines, 100+ endpoints)
+- **`backend/core/cognitive_manager.py`** - Central orchestrator for all cognitive processes
+- **`backend/core/consciousness_engine.py`** - LLM-driven consciousness assessment system
+- **`backend/websocket_manager.py`** - Real-time cognitive streaming (900+ lines)
+- **`svelte-frontend/src/App.svelte`** - Main UI with lazy-loaded components (2257+ lines)
+
+### Server Consolidation Context
+⚠️ **Multiple server implementations exist** - `unified_server.py`, `main.py`, `modernized_main.py`. Current consolidation effort targets unified_server.py as the single source of truth.
+
+## 🚀 Essential Development Workflows
+
+### Starting the System
+```bash
+# ALWAYS use the virtual environment
+source godelos_venv/bin/activate
+
+# Start both backend and frontend
+./start-godelos.sh --dev
+
+# Alternative: Manual startup
+uvicorn backend.unified_server:app --reload --port 8000 &
+cd svelte-frontend && npm run dev
+```
+
+### Testing Patterns
+```bash
+# Comprehensive cognitive tests
+python tests/test_cognitive_architecture_pipeline.py
+
+# Backend API tests
+python -m pytest tests/backend/ -v
+
+# Frontend component tests
+python -m pytest tests/frontend/ -v
+```
+
+## 🔧 Project-Specific Patterns
+
+### WebSocket Error Resolution
+**Common Issue**: `'WebSocketManager' object has no attribute 'process_consciousness_assessment'`
+- WebSocketManager expects `broadcast_consciousness_update()` method, not `process_consciousness_assessment()`
+- Always check method signatures in `backend/websocket_manager.py` before implementing new WebSocket interactions
+
+### Cognitive Component Integration
+```python
+# Correct pattern for consciousness assessment
+consciousness_state = await cognitive_manager.assess_consciousness(context)
+
+# WebSocket broadcasting pattern  
+if websocket_manager:
+    await websocket_manager.broadcast_cognitive_event("consciousness", data)
+```
+
+### LLM Integration Patterns
+- **LLM Driver**: `backend/llm_cognitive_driver.py` handles OpenAI API integration
+- **Consciousness Assessment**: Always check if `llm_driver` exists before calling consciousness methods
+- **Fallback Strategy**: System implements fallback consciousness assessment when LLM unavailable
+
+### Frontend Component Loading
+```javascript
+// Lazy loading pattern for large components (>1000 lines)
+const KnowledgeGraph = lazy(() => import('./components/knowledge/KnowledgeGraph.svelte'));
+const TransparencyDashboard = lazy(() => import('./components/transparency/TransparencyDashboard.svelte'));
+```
+
+## 📊 Data Flow Architecture
+
+### Cognitive Processing Pipeline
+1. **Query Input** → `cognitive_manager.process_query()`
+2. **Consciousness Assessment** → `consciousness_engine.assess_consciousness_state()`
+3. **Knowledge Integration** → Knowledge pipeline services
+4. **WebSocket Streaming** → Real-time updates to frontend
+5. **Transparency Logging** → `cognitive_transparency.py`
+
+### Knowledge Graph Evolution
+- **Dynamic Updates**: Knowledge graphs evolve via `backend/core/knowledge_graph_evolution.py`
+- **Relationship Types**: Defined in enums, must match between backend/frontend
+- **Vector Storage**: FAISS-based with fallback strategies in `backend/core/`
+
+## 🔄 Current Development Context
+
+### Phase 1 Priority Tasks (from Todo.md)
+1. **API Unification**: Consolidate multiple servers → `unified_server.py`
+2. **WebSocket Method Fixes**: Resolve missing method errors in WebSocketManager
+3. **Cognitive Manager Enhancement**: Centralized orchestration improvements
+
+### Known Issues to Address
+- WebSocket method mismatches causing `AttributeError`s
+- Invalid EvolutionTrigger enums in knowledge graph updates
+- PhenomenalExperienceGenerator parameter mismatches
+
+## 🧪 Testing & Validation
+
+### Consciousness Metrics Validation
+```python
+# Expected consciousness assessment format
+{
+    "awareness_level": 0.0-1.0,
+    "self_reflection_depth": 1-10,
+    "autonomous_goals": ["goal1", "goal2"],
+    "cognitive_integration": 0.0-1.0,
+    "manifest_behaviors": ["behavior1", "behavior2"]
+}
+```
+
+### WebSocket Event Structure
+```javascript
+{
+    "type": "cognitive_event|consciousness_assessment|knowledge_update",
+    "timestamp": unix_timestamp,
+    "data": { /* event-specific data */ },
+    "source": "godelos_system"
+}
+```
+
+## 🔐 Critical Dependencies & Integration Points
+
+### External APIs
+- **OpenAI**: Used by `llm_cognitive_driver.py` for consciousness assessment
+- **FAISS**: Vector similarity search (fallback to TF-IDF if unavailable)
+- **spaCy**: NLP processing (`en_core_web_sm` model required)
+
+### Environment Setup
+- **Python 3.8+** required
+- **Virtual environment**: `godelos_venv` (mandatory)
+- **Node.js**: For Svelte frontend development
+- **Environment variables**: Check `.env.example` for required API keys
+
+---
+
+**Key Insight**: This system is designed around the concept of "thinking out loud" - every cognitive process should be transparent and streamable. When implementing new features, always consider the real-time transparency aspect and WebSocket integration requirements.

.github/instructions/IMPORTANT.md.instructions.md

@@ -0,0 +1,6 @@
+---
+applyTo: '**'
+---
+
+# - use `start-godelos.sh --dev` to start the dev servers (front and backend)
+# - use the virtual environment `godelos_venv` AT ALL TIMES

.gitignore

@@ -150,6 +150,8 @@ jspm_packages/
 svelte-frontend/node_modules/.package-lock.json
 svelte-frontend/node_modules/.vite/deps/_metadata.json
 svelte-frontend/test-results/
+svelte-frontend/playwright-report/
+svelte-frontend/screenshots/
 
 # Build artifacts
 dist/
@@ -186,6 +188,10 @@ coverage/
 *.tgz
 .yarn-integrity
 
+# Allow runner scripts
+!run-e2e-headed.sh
+!scripts/run-ui-probes-test.sh
+
 # TypeScript
 *.tsbuildinfo
 typings/
@@ -226,6 +232,7 @@ test_results/
 
 # Backend storage
 backend/knowledge_storage/
+backend/godelos_data/
 knowledge_storage/*
 metacognition_modules/backups/
 backend/metacognition_modules/backups
@@ -243,16 +250,38 @@ backend/metacognition_modules/backups
 *_patch*
 *_patched*
 test_*.py
+test_*.txt
+test_*.json
 final_field_test.py
 debug_responses.py
 patch_responses.py
 analyze_failures.py
 run_individual_tests.py
 
-# Generated reports (unless specifically needed)
+# Generated reports and documentation (unless specifically needed)
 *_report.json
 *_report.md
+*_REPORT.md
+*_TEST_REPORT.md
+*_VALIDATION_REPORT.md
+*_ANALYSIS_REPORT.md
+*_DOCUMENTATION.md
 cognitive_architecture_test_report.*
+comprehensive_*.py
+comprehensive_*.js
+llm_cognitive_*.py
+llm_cognitive_*.json
+
+# Process data and temporary files
+temp_*.txt
+*.tmp
+*_temp.*
+simple_*.py
+simulate-*.sh
+run-*.sh
+
+# Duplicate files (originals should be in demo-data/)
+godelos_arxiv_paper_v2.pdf
 
 # Log files
 *.log
@@ -263,4 +292,9 @@ test_run_output.txt
 
 # OS files
 .DS_Store
-Thumbs.db
+Thumbs.db
+modernized_architecture_test_results.json
+regression_test_results.json
+godelos_data/imports/
+*.pid
+backend/data/vector_db/

.nvmrc

@@ -0,0 +1 @@
+18.19.0

AGENTS.md

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+# Repository Guidelines
+
+## Project Structure & Module Organization
+- `backend/` — FastAPI backend (unified server in `unified_server.py`, utilities, models, WebSocket manager). Env in `backend/.env` (see `.env.example`).
+- `svelte-frontend/` — Svelte UI (Vite). UI tests live here and at repo root.
+- `tests/` — Pytest suites (unit, integration, e2e) and Playwright specs.
+- `scripts/` and root `*.sh` — Startup and utility scripts (e.g., `start-unified-server.sh`).
+- `knowledge_storage/`, `logs/`, `docs/` — persisted data, logs, and documentation.
+
+## Build, Test, and Development Commands
+- Backend setup: `./setup_venv.sh && source godelos_venv/bin/activate && pip install -r requirements.txt`
+- Run backend (recommended): `./start-unified-server.sh` or `python backend/unified_server.py`
+- Frontend dev: `cd svelte-frontend && npm install && npm run dev`
+- Python tests (with coverage): `pytest` (reports to `test_output/coverage_html`)
+- Playwright tests (root): `npm test` (see `package.json`), or in UI: `cd svelte-frontend && npm test`
+
+## Coding Style & Naming Conventions
+- Python: 4‑space indent, PEP 8. Format with `black .` and `isort .`. Type‑check with `mypy backend godelOS`.
+- Naming: modules/functions `snake_case`, classes `PascalCase`, constants `UPPER_SNAKE_CASE`.
+- Tests: files `test_*.py`; Svelte components `PascalCase.svelte`.
+
+## Testing Guidelines
+- Frameworks: `pytest`, `pytest-asyncio`; UI via Playwright.
+- Marks: use `@pytest.mark.unit|integration|e2e|slow|requires_backend` (see `pytest.ini`).
+- Run subsets: `pytest -m "unit and not slow"`.
+- Some tests require a running backend on `localhost:8000`.
+
+## Commit & Pull Request Guidelines
+- Commits: imperative, focused changes. Example: `fix(backend): handle empty query in /api/query`.
+- PRs: include description, rationale, screenshots/logs for UI/UX, and linked issues. Note any schema/API changes.
+- Ensure: all tests pass, code formatted, no secrets checked in.
+
+## Security & Configuration Tips
+- Use `backend/.env` (copy from `.env.example`); never commit secrets.
+- Common vars: `GODELOS_HOST`, `GODELOS_PORT`, CORS origins, log level (see backend README).
+
+## Agent‑Specific Instructions
+- Keep patches small and targeted; follow this guide’s structure.
+- Prefer `unified_server.py` for backend entrypoints; update tests/docs when endpoints change.
+- Validate locally: run `pytest` and representative Playwright specs before proposing changes.
+