llm-gateway/INTEGRATION-STATUS.md

# OpenAI/ChatGPT Integration Status

## ✅ COMPLETED

### Code Implementation
- [x] **openai-bridge service** created at `/openai-bridge/` with Node.js HTTP server
  - Wraps OpenAI CLI (`openai api chat.completions.create`) 
  - Provides OpenAI-compatible `/v1/chat/completions` endpoint
  - Port: 3251 (configurable via OPENAI_BRIDGE_PORT)
  - Health check: `GET /health`
  
- [x] **external-providers.ts** updated with new providers
  - `openai-bridge`: GPT-4 Turbo, GPT-4, GPT-3.5-Turbo (rate limit: 90 req/min)
  - `chatgpt-bridge`: Same models, alternative routing path
  - Both properly configured for auth via OPENAI_API_KEY
  - No Authorization header for bridge services (handled internally)
  
- [x] **ecosystem.config.cjs** configured
  - openai-bridge PM2 app definition added
  - Environment variables set up for OPENAI_API_KEY, port, model
  - Integrated with llm-gateway and llm-learning services
  
- [x] **Deployment automation**
  - `ensure-bridges.sh`: Idempotent startup script
  - Auto-deploys openai-bridge on first run
  - Handles /opt/openai-bridge directory creation
  - Production-ready with timestamps and status logging

- [x] **Documentation**
  - `DEPLOYMENT-BRIDGES.md`: Complete deployment guide
  - Prerequisites, setup steps, configuration, verification
  - Troubleshooting guide with common issues and solutions
  - Integration details with fallback chain

### Build & Testing
- [x] **Build verification**: `npm run build` passes without errors
- [x] **Type checking**: All TypeScript files compile successfully
- [x] **Git commits**: Changes pushed to Gitea

### Commits
```
afe3597 feat: add automated bridge deployment script and comprehensive deployment guide
7599f33 feat: integrate OpenAI Codex and ChatGPT as primary LLM providers via subscription
e128d39 chore: add openai-bridge deployment script for Erik
```

---

## 🚀 READY FOR DEPLOYMENT

### Next Steps on Erik (192.168.178.82)

1. **Pull latest code**
   ```bash
   cd /opt/llm-gateway
   git pull origin main
   ```

2. **Run deployment automation**
   ```bash
   bash scripts/ensure-bridges.sh
   ```
   Or manually:
   ```bash
   mkdir -p /opt/openai-bridge
   cp openai-bridge/server.js /opt/openai-bridge/
   cp openai-bridge/package.json /opt/openai-bridge/
   ```

3. **Configure API Key**
   Edit `/opt/llm-gateway/deploy/ecosystem.config.cjs`:
   ```javascript
   OPENAI_API_KEY: 'sk-proj-your-key-here'
   ```

4. **Deploy with PM2**
   ```bash
   pm2 start deploy/ecosystem.config.cjs --update-env
   ```

5. **Verify**
   ```bash
   curl http://localhost:3251/health
   ```

---

## 📊 Provider Fallback Chain

```
Request → Gateway
   ↓
1. Ollama (local, if available)
2. claude-bridge (Claude subscription)
3. openai-bridge (OpenAI subscription) ← NEW
4. chatgpt-bridge (ChatGPT alternate routing) ← NEW
5. cerebras (free tier)
6. groq (free tier)
7. mistral (free tier)
8. nvidia (free tier)
9. cloudflare (free tier)
```

---

## 🔒 Security Checklist

- [x] No API keys hardcoded in code ✅
- [x] Environment variables used for secrets ✅
- [x] No Authorization header for bridge services (handled internally) ✅
- [x] OPENAI_API_KEY validated before use ✅
- [x] Error messages sanitized (500 char limit) ✅
- [x] Input validation on messages array ✅
- [x] Timeout handling (300s default) ✅
- [x] Buffer size limited (10MB max) ✅

---

## 📝 Configuration Template

Add to `~/.env.local` on Erik or use PM2 `--update-env`:

```env
OPENAI_API_KEY=sk-proj-xxxxx...
OPENAI_BRIDGE_PORT=3251
OPENAI_MODEL=gpt-4-turbo
OPENAI_BRIDGE_URL=http://localhost:3251
CHATGPT_BRIDGE_URL=http://localhost:3251
LLM_PROVIDERS=claude,openai,chatgpt,cerebras,groq,mistral,nvidia
```

---

## 🎯 Integration Points

### Gateway reads from:
- `external-providers.ts`: Provider registry, rate limits, models
- `ecosystem.config.cjs`: Environment variables
- Environment: `OPENAI_API_KEY`, `OPENAI_BRIDGE_URL`

### Bridge service exposes:
- `GET http://localhost:3251/health` - Health/config status
- `POST http://localhost:3251/v1/chat/completions` - OpenAI-compatible endpoint

### Learning engine integrates:
- Monitors openai-bridge response quality
- Tracks latency and token usage
- Auto-adjusts routing based on confidence scores

---

## 📦 Pending: Microsoft Copilot

**Status**: Not yet integrated (awaiting CLI tool identification)

To add Copilot once available:
1. Follow openai-bridge pattern (wrapper around CLI)
2. Add copilot-bridge provider in external-providers.ts
3. Update ecosystem.config.cjs with copilot service
4. Extend ensure-bridges.sh deployment script

---

## 🔄 Deployment Rollback

If issues occur:
```bash
pm2 stop openai-bridge
pm2 delete openai-bridge
rm -rf /opt/openai-bridge
pm2 restart llm-gateway
```

---

**Status**: ✅ **READY FOR PRODUCTION DEPLOYMENT**  
**Last Updated**: 2026-04-25 04:32 UTC  
**Deployed By**: Claude Autonomous Execution  
**Approval Required**: OPENAI_API_KEY configuration only