# AeThex Engine - AI Assistant Module Architecture ## Vision An AI-powered coding assistant built directly into the AeThex Engine editor, providing realtime code completion, bug detection, documentation generation, and intelligent suggestions. --- ## Core Features ### 1. Smart Code Completion - Context-aware GDScript suggestions - Function parameter hints with AI explanations - Auto-completion that understands your project - Natural language to code generation ### 2. Intelligent Error Detection - Real-time bug detection - AI-powered fix suggestions - Performance optimization hints - Security vulnerability scanning ### 3. Documentation AI - Auto-generate function documentation - Explain complex code blocks - Generate tutorials from your code - API reference creator ### 4. Asset Intelligence - Texture optimization suggestions - Mesh LOD recommendations - Shader performance analysis - Asset naming conventions ### 5. Natural Language Commands - "Create a player controller" - "Add jump physics to this character" - "Generate a main menu UI" - "Debug why my player isn't moving" --- ## Technical Architecture ### Module Structure ``` engine/modules/aethex_ai/ ├── SCsub # Build configuration ├── config.py # Module setup ├── register_types.h/cpp # Godot module registration ├── ai_assistant.h/cpp # Main AI assistant class ├── ai_code_completion.h/cpp # Code completion engine ├── ai_error_analyzer.h/cpp # Error detection & fixes ├── ai_doc_generator.h/cpp # Documentation generation ├── ai_asset_optimizer.h/cpp # Asset optimization ├── api/ │ ├── ai_api_client.h/cpp # API communication │ ├── claude_client.h/cpp # Claude API integration │ ├── rate_limiter.h/cpp # API rate limiting │ └── cache_manager.h/cpp # Response caching ├── ui/ │ ├── ai_panel.h/cpp # Main AI panel UI │ ├── ai_chat_widget.h/cpp # Chat interface │ └── ai_suggestions_panel.h/cpp # Suggestions display └── tests/ └── test_ai_assistant.h # Unit tests ``` ### Core Classes #### 1. AIAssistant (Singleton) ```cpp class AIAssistant : public Object { GDCLASS(AIAssistant, Object); private: static AIAssistant *singleton; AIAPIClient *api_client; CacheManager *cache; RateLimiter *rate_limiter; public: // Code assistance String get_code_completion(const String &context, const Vector &recent_code); String explain_code(const String &code_block); String fix_error(const String &error_message, const String &code_context); // Documentation String generate_function_docs(const String &function_signature); String generate_class_docs(const String &class_code); // Natural language String natural_language_to_code(const String &description, const String &context); // Asset optimization Dictionary analyze_asset(const String &asset_path); String suggest_optimization(const String &asset_path); static AIAssistant *get_singleton(); }; ``` #### 2. AIAPIClient ```cpp class AIAPIClient : public RefCounted { GDCLASS(AIAPIClient, RefCounted); private: String api_key; String api_endpoint; HTTPClient *http_client; struct PendingRequest { Callable callback; String request_id; uint64_t timestamp; }; HashMap pending_requests; public: // Async API calls String send_completion_request(const String &prompt, const Callable &callback); String send_chat_request(const Vector &messages, const Callable &callback); // Sync API calls (with timeout) String send_completion_sync(const String &prompt, float timeout = 10.0); // Configuration void set_api_key(const String &p_key); void set_endpoint(const String &p_endpoint); Error initialize(); }; ``` #### 3. AICodeCompletion (Editor Plugin) ```cpp class AICodeCompletion : public EditorPlugin { GDCLASS(AICodeCompletion, EditorPlugin); private: CodeEdit *current_editor; PopupMenu *suggestion_popup; Timer *completion_timer; String current_context; void _on_text_changed(); void _on_completion_timer_timeout(); void _show_ai_suggestions(const Vector &suggestions); public: virtual String get_name() const override { return "AICodeCompletion"; } virtual void edit(Object *p_object) override; virtual bool handles(Object *p_object) const override; }; ``` #### 4. AIPanel (Editor Dock) ```cpp class AIPanel : public VBoxContainer { GDCLASS(AIPanel, VBoxContainer); private: TabContainer *tab_container; // Tabs Control *chat_tab; Control *suggestions_tab; Control *docs_tab; // Chat interface RichTextLabel *chat_history; LineEdit *chat_input; Button *send_button; // Suggestions Tree *suggestions_tree; Button *apply_suggestion_button; void _on_send_chat(); void _on_apply_suggestion(); void _update_suggestions(); public: void add_chat_message(const String &message, bool is_user); void show_suggestion(const String &title, const String &description, const String &code); }; ``` --- ## API Integration ### Claude API (Anthropic) **Endpoint:** `https://api.anthropic.com/v1/messages` **Request Format:** ```json { "model": "claude-3-5-sonnet-20241022", "max_tokens": 1024, "messages": [ { "role": "user", "content": "Generate a GDScript player controller with WASD movement" } ], "system": "You are an expert game developer assistant for the AeThex Engine..." } ``` ### Rate Limiting - Free tier: 10 requests/minute - Pro tier: 100 requests/minute - Cache responses for 1 hour - Queue requests when rate limited ### Error Handling ```cpp enum APIErrorCode { API_ERROR_NONE, API_ERROR_NETWORK, API_ERROR_AUTH, API_ERROR_RATE_LIMIT, API_ERROR_TIMEOUT, API_ERROR_INVALID_RESPONSE }; ``` --- ## User Interface ### 1. AI Panel (Dock) - Bottom dock by default - Resizable, collapsible - Three tabs: Chat, Suggestions, Docs ### 2. Inline Suggestions - Ghost text in code editor - Accept with Tab, reject with Esc - Multiple suggestions with Alt+N ### 3. Context Menu Integration - Right-click → "Ask AI about this" - Right-click → "Generate docs" - Right-click → "Fix this error" ### 4. Command Palette - Ctrl+Shift+A → AI Command Palette - Type natural language commands - See AI-powered results instantly --- ## Configuration & Settings ### Editor Settings ```cpp // In editor_settings.cpp EDITOR_SETTING(Variant::STRING, PROPERTY_HINT_NONE, "ai/api_key", "", "") EDITOR_SETTING(Variant::BOOL, PROPERTY_HINT_NONE, "ai/enable_code_completion", true, "") EDITOR_SETTING(Variant::BOOL, PROPERTY_HINT_NONE, "ai/enable_error_detection", true, "") EDITOR_SETTING(Variant::INT, PROPERTY_HINT_RANGE, "ai/suggestion_delay_ms", 500, "100,2000,10") EDITOR_SETTING(Variant::BOOL, PROPERTY_HINT_NONE, "ai/cache_responses", true, "") ``` ### User Preferences - API key (encrypted storage) - Enable/disable features - Suggestion delay - Privacy settings (opt-in telemetry) --- ## Privacy & Security ### Data Handling - **Never** send full project code - Only send relevant context (20 lines max) - Strip sensitive data (passwords, keys) - User explicitly opts-in ### API Key Storage ```cpp // Encrypted storage using EditorSettings String encrypted_key = EditorSettings::get_singleton() ->get_setting("ai/api_key_encrypted"); String api_key = Crypto::decrypt_aes256(encrypted_key, machine_id); ``` ### Usage Tracking (Opt-in Only) - Number of requests - Popular features - Error rates - Anonymous metrics only --- ## Implementation Phases ### Phase 1: Foundation (Week 1-2) - [ ] Module structure & registration - [ ] API client implementation - [ ] Basic UI panel - [ ] Settings integration - [ ] Simple code completion ### Phase 2: Core Features (Week 3-4) - [ ] Enhanced code completion - [ ] Error detection & fixes - [ ] Documentation generation - [ ] Chat interface ### Phase 3: Advanced Features (Week 5-8) - [ ] Natural language commands - [ ] Asset optimization - [ ] Performance analysis - [ ] Multi-file context ### Phase 4: Polish & Optimization (Week 9-12) - [ ] Response caching - [ ] Rate limiting - [ ] Error handling - [ ] User testing & feedback --- ## Testing Strategy ### Unit Tests ```cpp // test_ai_assistant.h TEST_CASE("[AIAssistant] Code completion") { AIAssistant *ai = AIAssistant::get_singleton(); String result = ai->get_code_completion( "func _ready():\n\t", Vector() ); CHECK(result.contains("extends")); } ``` ### Integration Tests - Test with real API (sandboxed) - Mock API for CI/CD - Rate limiting behavior - Error recovery ### User Acceptance Testing - Beta testers from community - Collect feedback - Iterate quickly --- ## Metrics & Success Criteria ### Technical Metrics - Response time < 2 seconds - Cache hit rate > 60% - Error rate < 1% - API cost < $0.01/user/day ### User Metrics - Daily active users - Feature usage rates - User satisfaction (surveys) - Productivity improvement --- ## Future Enhancements ### Advanced AI Features - Multi-language support (C#, C++) - Voice commands - Visual scripting AI - Game design suggestions ### Model Improvements - Fine-tuned models on game dev code - Local AI models (privacy-first) - Specialized models for different tasks ### Ecosystem Integration - AI-generated assets - Procedural content generation - Game balancing suggestions - Playtesting AI --- ## Getting Started (Developer) ### 1. Get API Key ```bash # Sign up at https://console.anthropic.com # Create API key # Add to AeThex settings ``` ### 2. Enable Module ```bash # Build with AI module scons modules=aethex_ai ``` ### 3. Test in Editor ``` Editor → Settings → AI Assistant Enter API key Enable code completion Test with simple script ``` --- **Next Steps:** Implement Phase 1 foundation (API client + basic UI)