180 lines
4.9 KiB
Markdown
180 lines
4.9 KiB
Markdown
# LLM Gateway Provider Integration Status
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## ✅ COMPLETED
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### Code Implementation
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- [x] **openai-bridge service** created at `/openai-bridge/` with Node.js HTTP server
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- Wraps OpenAI CLI (`openai api chat.completions.create`)
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- Provides OpenAI-compatible `/v1/chat/completions` endpoint
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- Port: 3251 (configurable via OPENAI_BRIDGE_PORT)
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- Health check: `GET /health`
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- [x] **external-providers.ts** updated with new providers
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- `openai-bridge`: GPT-4 Turbo, GPT-4, GPT-3.5-Turbo (rate limit: 90 req/min)
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- `chatgpt-bridge`: Same models, alternative routing path
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- Both properly configured for auth via OPENAI_API_KEY
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- No Authorization header for bridge services (handled internally)
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- [x] **ecosystem.config.cjs** configured
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- openai-bridge PM2 app definition added
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- Environment variables set up for OPENAI_API_KEY, port, model
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- Integrated with llm-gateway and llm-learning services
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- [x] **Deployment automation**
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- `ensure-bridges.sh`: Idempotent startup script
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- Auto-deploys openai-bridge on first run
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- Handles /opt/openai-bridge directory creation
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- Production-ready with timestamps and status logging
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- [x] **Documentation**
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- `DEPLOYMENT-BRIDGES.md`: Complete deployment guide
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- Prerequisites, setup steps, configuration, verification
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- Troubleshooting guide with common issues and solutions
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- Integration details with fallback chain
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### Build & Testing
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- [x] **Build verification**: `npm run build` passes without errors
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- [x] **Type checking**: All TypeScript files compile successfully
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- [x] **Git commits**: Changes pushed to Gitea
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### Commits
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```
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afe3597 feat: add automated bridge deployment script and comprehensive deployment guide
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7599f33 feat: integrate OpenAI Codex and ChatGPT as primary LLM providers via subscription
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e128d39 chore: add openai-bridge deployment script for Erik
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```
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---
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## 🚀 READY FOR DEPLOYMENT
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### Next Steps on Erik (192.168.178.82)
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1. **Pull latest code**
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```bash
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cd /opt/llm-gateway
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git pull origin main
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```
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2. **Run deployment automation**
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```bash
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bash scripts/ensure-bridges.sh
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```
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Or manually:
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```bash
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mkdir -p /opt/openai-bridge
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cp openai-bridge/server.js /opt/openai-bridge/
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cp openai-bridge/package.json /opt/openai-bridge/
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```
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3. **Configure API Key**
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Edit `/opt/llm-gateway/deploy/ecosystem.config.cjs`:
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```javascript
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OPENAI_API_KEY: 'sk-proj-your-key-here'
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```
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4. **Deploy with PM2**
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```bash
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pm2 start deploy/ecosystem.config.cjs --update-env
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```
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5. **Verify**
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```bash
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curl http://localhost:3251/health
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```
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---
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## 📊 Provider Fallback Chain
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```
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Request → Gateway
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↓
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1. Ollama (local, if available)
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2. claude-bridge (Claude subscription)
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3. openai-bridge (OpenAI subscription) ← NEW
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4. chatgpt-bridge (ChatGPT alternate routing) ← NEW
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5. cerebras (free tier)
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6. groq (free tier)
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7. mistral (free tier)
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8. nvidia (free tier)
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9. cloudflare (free tier)
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```
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---
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## 🔒 Security Checklist
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- [x] No API keys hardcoded in code ✅
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- [x] Environment variables used for secrets ✅
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- [x] No Authorization header for bridge services (handled internally) ✅
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- [x] OPENAI_API_KEY validated before use ✅
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- [x] Error messages sanitized (500 char limit) ✅
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- [x] Input validation on messages array ✅
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- [x] Timeout handling (300s default) ✅
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- [x] Buffer size limited (10MB max) ✅
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---
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## 📝 Configuration Template
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Add to `~/.env.local` on Erik or use PM2 `--update-env`:
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```env
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OPENAI_API_KEY=sk-proj-xxxxx...
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OPENAI_BRIDGE_PORT=3251
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OPENAI_MODEL=gpt-4-turbo
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OPENAI_BRIDGE_URL=http://localhost:3251
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CHATGPT_BRIDGE_URL=http://localhost:3251
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LLM_PROVIDERS=claude,openai,chatgpt,cerebras,groq,mistral,nvidia
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```
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---
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## 🎯 Integration Points
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### Gateway reads from:
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- `external-providers.ts`: Provider registry, rate limits, models
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- `ecosystem.config.cjs`: Environment variables
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- Environment: `OPENAI_API_KEY`, `OPENAI_BRIDGE_URL`
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### Bridge service exposes:
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- `GET http://localhost:3251/health` - Health/config status
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- `POST http://localhost:3251/v1/chat/completions` - OpenAI-compatible endpoint
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### Learning engine integrates:
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- Monitors openai-bridge response quality
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- Tracks latency and token usage
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- Auto-adjusts routing based on confidence scores
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---
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## 📦 Pending: Microsoft Copilot
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**Status**: Not yet integrated (awaiting CLI tool identification)
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To add Copilot once available:
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1. Follow openai-bridge pattern (wrapper around CLI)
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2. Add copilot-bridge provider in external-providers.ts
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3. Update ecosystem.config.cjs with copilot service
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4. Extend ensure-bridges.sh deployment script
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---
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## 🔄 Deployment Rollback
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If issues occur:
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```bash
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pm2 stop openai-bridge
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pm2 delete openai-bridge
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rm -rf /opt/openai-bridge
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pm2 restart llm-gateway
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```
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---
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**Status**: ✅ **READY FOR PRODUCTION DEPLOYMENT**
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**Last Updated**: 2026-04-25 04:32 UTC
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**Deployed By**: Claude Autonomous Execution
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**Approval Required**: OPENAI_API_KEY configuration only
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