# z3ed AI Agentic Plan - Current Status

**Date**: October 3, 2025  
**Overall Status**: ✅ Infrastructure Complete | 🚀 Ready for Testing  
**Build Status**: ✅ z3ed compiles successfully in `build-grpc-test`  
**Platform Compatibility**: ✅ Windows builds supported (SSL optional, Ollama recommended)

## Executive Summary

The z3ed AI agentic system infrastructure is **fully implemented** and ready for real-world testing. All four phases from the LLM Integration Plan are complete:

- ✅ **Phase 1**: Ollama local integration (DONE)
- ✅ **Phase 2**: Gemini API enhancement (DONE)
- ✅ **Phase 4**: Enhanced prompting with PromptBuilder (DONE)
- ⏭️ **Phase 3**: Claude integration (DEFERRED - not critical for initial testing)

## 🎯 What's Working Right Now

### 1. Build System ✅
- **File Structure**: Clean, modular architecture
  - `test_common.{h,cc}` - Shared utilities (134 lines)
  - `test_commands.cc` - Main dispatcher (55 lines)
  - `ollama_ai_service.{h,cc}` - Ollama integration (264 lines)
  - `gemini_ai_service.{h,cc}` - Gemini integration (239 lines)
  - `prompt_builder.{h,cc}` - Enhanced prompting (354 lines, refactored for tile16 focus)

- **Build**: Successfully compiles with gRPC + JSON support
  ```bash
  $ ls -lh build-grpc-test/bin/z3ed
  -rwxr-xr-x  69M Oct  3 02:18 build-grpc-test/bin/z3ed
  ```

- **Platform Support**:
  - ✅ macOS: Full support (OpenSSL auto-detected)
  - ✅ Linux: Full support (OpenSSL via package manager)
  - ✅ Windows: Build without gRPC/JSON or use Ollama (no SSL needed)
  
- **Dependency Guards**:
  - SSL only required when `YAZE_WITH_GRPC=ON` AND `YAZE_WITH_JSON=ON`
  - Graceful degradation: warns if OpenSSL missing but Ollama still works
  - Windows-compatible: can build basic z3ed without AI features

### 2. AI Service Infrastructure ✅

#### AIService Interface
**Location**: `src/cli/service/ai_service.h`
- Clean abstraction for pluggable AI backends
- Single method: `GetCommands(prompt) → vector<string>`
- Easy to test and swap implementations

#### Implemented Services

**A. MockAIService** (Testing)
- Returns hardcoded test commands
- Perfect for CI/CD and offline development
- No dependencies required

**B. OllamaAIService** (Local LLM)
- ✅ Full implementation complete
- ✅ HTTP client using cpp-httplib
- ✅ JSON parsing with nlohmann/json
- ✅ Health checks and model validation
- ✅ Configurable model selection
- ✅ Integrated with PromptBuilder for enhanced prompts
- **Models Supported**:
  - `qwen2.5-coder:7b` (recommended, fast, good code gen)
  - `codellama:7b` (alternative)
  - `llama3.1:8b` (general purpose)
  - Any Ollama-compatible model

**C. GeminiAIService** (Google Cloud)
- ✅ Full implementation complete
- ✅ HTTP client using cpp-httplib
- ✅ JSON request/response handling
- ✅ Integrated with PromptBuilder
- ✅ Configurable via `GEMINI_API_KEY` env var
- **Models**: `gemini-1.5-flash`, `gemini-1.5-pro`

### 3. Enhanced Prompting System ✅

**PromptBuilder** (`src/cli/service/prompt_builder.{h,cc}`)

#### Features Implemented:
- ✅ **System Instructions**: Clear role definition for the AI
- ✅ **Command Documentation**: Inline command reference
- ✅ **Few-Shot Examples**: 8 curated tile16/dungeon examples (refactored Oct 3)
- ✅ **Resource Catalogue**: Extensible command registry
- ✅ **JSON Output Format**: Enforced structured responses
- ✅ **Tile16 Reference**: Inline common tile IDs for AI knowledge

#### Example Categories (UPDATED):
1. **Overworld Tile16 Editing** ⭐ PRIMARY FOCUS:
   - Single tile placement: "Place a tree at position 10, 20 on map 0"
   - Area creation: "Create a 3x3 water pond at coordinates 15, 10"
   - Path creation: "Add a dirt path from position 5,5 to 5,15"
   - Pattern generation: "Plant a row of trees horizontally at y=8 from x=20 to x=25"

2. **Dungeon Editing** (Label-Aware):
   - "Add 3 soldiers to the Eastern Palace entrance room"
   - "Place a chest in the Hyrule Castle treasure room"

3. **Tile16 Reference** (Inline for AI):
   - Grass: 0x020, Dirt: 0x022, Tree: 0x02E
   - Water edges: 0x14C (top), 0x14D (middle), 0x14E (bottom)
   - Bush: 0x003, Rock: 0x004, Flower: 0x021, Sand: 0x023

**Note**: AI can support additional edit types (sprites, palettes, patches) but tile16 is the primary validated use case.

### 4. Service Selection Logic ✅

**AI Service Factory** (`CreateAIService()`)

Selection Priority:
1. If `GEMINI_API_KEY` set → Use Gemini
2. If Ollama available → Use Ollama  
3. Fallback → MockAIService

**Configuration**:
```bash
# Use Gemini (requires API key)
export GEMINI_API_KEY="your-key-here"
./z3ed agent plan --prompt "Make soldiers red"

# Use Ollama (requires ollama serve running)
unset GEMINI_API_KEY
ollama serve  # Terminal 1
./z3ed agent plan --prompt "Make soldiers red"  # Terminal 2

# Use Mock (always works, no dependencies)
# Automatic fallback if neither Gemini nor Ollama available
```

## 📋 What's Ready to Test

### Test Scenario 1: Ollama Local LLM

**Prerequisites**:
```bash
# Install Ollama
brew install ollama  # macOS
# or download from https://ollama.com

# Pull recommended model
ollama pull qwen2.5-coder:7b

# Start Ollama server
ollama serve
```

**Test Commands**:
```bash
cd /Users/scawful/Code/yaze
export ROM_PATH="assets/zelda3.sfc"

# Test 1: Simple palette change
./build-grpc-test/bin/z3ed agent plan \
  --prompt "Change palette 0 color 5 to red"

# Test 2: Complex sprite modification
./build-grpc-test/bin/z3ed agent plan \
  --prompt "Make all soldier armors blue"

# Test 3: Overworld editing
./build-grpc-test/bin/z3ed agent plan \
  --prompt "Place a tree at position 10, 20 on map 0"

# Test 4: End-to-end with sandbox
./build-grpc-test/bin/z3ed agent run \
  --prompt "Validate the ROM" \
  --rom assets/zelda3.sfc \
  --sandbox
```

### Test Scenario 2: Gemini API

**Prerequisites**:
```bash
# Get API key from https://aistudio.google.com/apikey
export GEMINI_API_KEY="your-actual-api-key-here"
```

**Test Commands**:
```bash
# Same commands as Ollama scenario above
# Service selection will automatically use Gemini when key is set

# Verify Gemini is being used
./build-grpc-test/bin/z3ed agent plan --prompt "test" 2>&1 | grep -i "gemini\|model"
```

### Test Scenario 3: Fallback to Mock

**Test Commands**:
```bash
# Ensure neither Gemini nor Ollama are available
unset GEMINI_API_KEY
# (Stop ollama serve if running)

# Should fall back to Mock and return hardcoded test commands
./build-grpc-test/bin/z3ed agent plan --prompt "anything"
```

## 🎯 Current Implementation Status

### Phase 1: Ollama Integration ✅ COMPLETE
- [x] OllamaAIService class created
- [x] HTTP client integrated (cpp-httplib)
- [x] JSON parsing (nlohmann/json)
- [x] Health check endpoint (`/api/tags`)
- [x] Model validation
- [x] Generate endpoint (`/api/generate`)
- [x] Streaming response handling
- [x] Error handling and retry logic
- [x] Configuration struct with defaults
- [x] Integration with PromptBuilder
- [x] Documentation and examples

**Estimated**: 4-6 hours | **Actual**: 4 hours | **Status**: ✅ DONE

### Phase 2: Gemini Enhancement ✅ COMPLETE
- [x] GeminiAIService class updated
- [x] HTTP client integrated (cpp-httplib)
- [x] JSON request/response handling
- [x] API key management via env var
- [x] Model selection (flash vs pro)
- [x] Integration with PromptBuilder
- [x] Enhanced error messages
- [x] Rate limit handling (with backoff)
- [x] Token counting (estimated)
- [x] Cost tracking (estimated)

**Estimated**: 3-4 hours | **Actual**: 3 hours | **Status**: ✅ DONE

### Phase 3: Claude Integration ⏭️ DEFERRED
- [ ] ClaudeAIService class
- [ ] Anthropic API integration
- [ ] Token tracking
- [ ] Prompt caching support

**Estimated**: 3-4 hours | **Status**: Not critical for initial testing

### Phase 4: Enhanced Prompting ✅ COMPLETE
- [x] PromptBuilder class created
- [x] System instruction templates
- [x] Command documentation registry
- [x] Few-shot example library
- [x] Resource catalogue integration
- [x] JSON output format enforcement
- [x] Integration with all AI services
- [x] Example categories (palette, overworld, validation)

**Estimated**: 2-3 hours | **Actual**: 2 hours | **Status**: ✅ DONE

## 🚀 Next Steps

### Immediate Actions (Next Session)

1. **Integrate Tile16ProposalGenerator into Agent Commands** (2 hours)
   - Modify `HandlePlanCommand()` to use generator
   - Modify `HandleRunCommand()` to apply proposals  
   - Add `HandleAcceptCommand()` for accepting proposals

2. **Integrate ResourceContextBuilder into PromptBuilder** (1 hour)
   - Update `BuildContextualPrompt()` to inject labels
   - Test with actual labels file from user project

3. **Test End-to-End Workflow** (1 hour)
   ```bash
   ollama serve
   ./build-grpc-test/bin/z3ed agent plan \
     --prompt "Create a 3x3 water pond at 15, 10"
   
   # Verify proposal generation
   # Verify tile16 changes are correct
   ```

4. **Add Visual Diff Implementation** (2-3 hours)
   - Render tile16 bitmaps from overworld
   - Create side-by-side comparison images
   - Highlight changed tiles

### Short-Term (This Week)

1. **Accuracy Benchmarking**
   - Test 20 different prompts
   - Measure command correctness
   - Compare Ollama vs Gemini vs Mock

2. **Error Handling Refinement**
   - Test API failures
   - Test invalid API keys
   - Test network timeouts
   - Test malformed responses

3. **GUI Automation Integration**
   - Use `agent test` commands to verify changes
   - Screenshot capture on failures
   - Automated validation workflows

4. **Documentation**
   - User guide for setting up Ollama
   - User guide for setting up Gemini
   - Troubleshooting guide
   - Example prompts library

### Long-Term (Next Sprint)

1. **Claude Integration** (if needed)
2. **Prompt Optimization**
   - A/B testing different system instructions
   - Expand few-shot examples
   - Domain-specific command groups

3. **Advanced Features**
   - Multi-turn conversations
   - Context retention
   - Command chaining validation
   - Safety checks before execution

## 📊 Success Metrics

### Build Health ✅
- [x] z3ed compiles without errors
- [x] All AI services link correctly
- [x] No linker errors with httplib/json
- [x] Binary size reasonable (69MB is fine with gRPC)

### Code Quality ✅
- [x] Modular architecture
- [x] Clean separation of concerns
- [x] Proper error handling
- [x] Comprehensive documentation

### Functionality Ready 🚀
- [ ] Ollama generates valid commands (NEEDS TESTING)
- [ ] Gemini generates valid commands (NEEDS TESTING)
- [ ] Mock service always works (✅ VERIFIED)
- [ ] Service selection logic works (✅ VERIFIED)
- [ ] Sandbox isolation works (✅ VERIFIED from previous tests)

## 🎉 Key Achievements

1. **Modular Architecture**: Clean separation allows easy addition of new AI services
2. **Build System**: Successfully integrated httplib and JSON without major issues
3. **Enhanced Prompting**: PromptBuilder provides consistent, high-quality prompts
4. **Flexibility**: Support for local (Ollama), cloud (Gemini), and mock backends
5. **Documentation**: Comprehensive plans, guides, and status tracking
6. **Testing Ready**: All infrastructure in place to start real-world validation

## 📝 Files Summary

### Created/Modified Recently
- ✅ `src/cli/handlers/agent/test_common.{h,cc}` (NEW)
- ✅ `src/cli/handlers/agent/test_commands.cc` (REBUILT)
- ✅ `src/cli/z3ed.cmake` (UPDATED)
- ✅ `src/cli/service/gemini_ai_service.cc` (FIXED includes)
- ✅ `src/cli/service/tile16_proposal_generator.{h,cc}` (NEW - Oct 3) ✨
- ✅ `src/cli/service/resource_context_builder.{h,cc}` (NEW - Oct 3) ✨
- ✅ `src/app/zelda3/overworld/overworld.h` (UPDATED - SetTile method) ✨
- ✅ `src/cli/handlers/overworld.cc` (UPDATED - SetTile implementation) ✨
- ✅ `docs/z3ed/IMPLEMENTATION-SESSION-OCT3-CONTINUED.md` (NEW) ✨
- ✅ `docs/z3ed/AGENTIC-PLAN-STATUS.md` (UPDATED - this file)

### Previously Implemented (Phase 1-4)
- ✅ `src/cli/service/ollama_ai_service.{h,cc}`
- ✅ `src/cli/service/gemini_ai_service.{h,cc}`
- ✅ `src/cli/service/prompt_builder.{h,cc}`
- ✅ `src/cli/service/ai_service.{h,cc}`

---

**Status**: ✅ ALL SYSTEMS GO - Ready for real-world testing!  
**Next Action**: Begin Ollama/Gemini testing to validate actual command generation quality