codeflash-internal/deployment/onprem-simple/README.md
Saurabh Misra 7c1933180a
local setup (#1898)
Signed-off-by: Saurabh Misra <misra.saurabh1@gmail.com>
Co-authored-by: saga4 <saga4@codeflashs-MacBook-Air.local>
Co-authored-by: Sarthak Agarwal <sarthak.saga@gmail.com>
Co-authored-by: Mohamed Ashraf <mohamedashrraf222@gmail.com>
Co-authored-by: Aseem Saxena <aseem.bits@gmail.com>
2025-11-17 12:35:09 -08:00

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# Codeflash On-Premise Deployment
A single Docker container that runs all Codeflash services for on-premise deployments.
## What's Inside
The unified container includes:
- **PostgreSQL 15** - Database server (port 5432)
- **aiservice** - Python Django optimization service (port 8000)
- **cf-api** - Node.js API server (port 3001)
- **cf-webapp** - Next.js web interface (port 3000)
- **Supervisord** - Process manager for all services
## Quick Start
### Prerequisites
- Docker installed (version 20.10 or higher)
- An AI provider API key (Azure OpenAI, OpenAI, or Anthropic)
### Step 1: Build the Docker Image
```bash
git clone https://github.com/codeflash-ai/codeflash
cd codeflash
docker build -f deployment/onprem-simple/Dockerfile.unifiedall -t codeflash/unified:latest .
```
**Build time:** ~5-10 minutes
### Step 2: Run the Container
The simplest way to run Codeflash (only 1 required environment variable!):
```bash
docker run -d --name codeflash \
-e AZURE_OPENAI_API_KEY=your-azure-api-key \
-p 5432:5432 \
-p 8000:8000 \
-p 3001:3001 \
-p 3000:3000 \
-v codeflash-data:/var/lib/postgresql/data \
codeflash/unified:latest
```
**What happens automatically:**
- ✅ DATABASE_URL defaults to built-in PostgreSQL
- ✅ SECRET_KEY auto-generated
- ✅ URLs default to localhost
- ✅ API key auto-generated on first run
### Step 3: Get Your API Key
After the container starts (~15 seconds), retrieve your API key:
```bash
# View logs to see the API key
docker logs codeflash
# Or get it from the saved file
docker exec codeflash cat /app/API_KEY.txt
```
You'll see output like:
```
======================================
CODEFLASH SETUP COMPLETE!
======================================
Your API Key: cf-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
Save this API key! You'll need it to configure the Codeflash CLI.
======================================
```
**Save this API key** - you'll need it for the CLI!
### Step 4: Install the CLI
```bash
pip install codeflash
```
### Step 5: Configure the CLI
```bash
export CODEFLASH_API_KEY=cf-your-api-key-from-step-3
export CODEFLASH_AIS_SERVER=local
export CODEFLASH_CFAPI_SERVER=local
```
Or create a `.env` file in your project:
```bash
CODEFLASH_API_KEY=cf-your-api-key-from-step-3
CODEFLASH_AIS_SERVER=local
CODEFLASH_CFAPI_SERVER=local
```
### Step 6: Optimize Your Code!
```bash
cd your-python-project
codeflash --file path/to/file.py --function function_name --no-pr
```
## Configuration Options
### Minimal Configuration (Recommended)
Only provide your AI provider key:
```bash
docker run -d --name codeflash \
-e OPENAI_API_TYPE=azure \
-e OPENAI_API_BASE=your-azure-openai-base-url \
-e AZURE_OPENAI_API_KEY=your-key \
-p 5432:5432 -p 8000:8000 -p 3001:3001 -p 3000:3000 \
-v codeflash-data:/var/lib/postgresql/data \
codeflash/unified:latest
```
### Full Configuration (Optional)
You can customize all settings if needed:
```bash
docker run -d --name codeflash \
-e OPENAI_API_TYPE=azure \
-e OPENAI_API_BASE=your-azure-openai-base-url \
-e AZURE_OPENAI_API_KEY=your-azure-key \
-e ANTHROPIC_API_KEY=your-anthropic-key \
-e SECRET_KEY=your-custom-secret \
-e DATABASE_URL=postgresql://user:pass@host:5432/db \
-e NEXT_PUBLIC_APP_URL=http://your-domain:3000 \
-e WEBAPP_URL=http://your-domain:3000 \
-e CODEFLASH_CFAPI_URL=http://your-domain:3001 \
-p 5432:5432 -p 8000:8000 -p 3001:3001 -p 3000:3000 \
-v codeflash-data:/var/lib/postgresql/data \
codeflash/unified:latest
```
See `.env.onprem.minimal` for all available options.
## Container Management
### Check Status
```bash
# Check if container is running
docker ps | grep codeflash
# View logs
docker logs codeflash
# Follow logs in real-time
docker logs -f codeflash
# Check service status inside container
docker exec codeflash supervisorctl status
```
Expected output:
```
postgres RUNNING pid 40, uptime 0:10:23
aiservice RUNNING pid 41, uptime 0:10:23
cf-api RUNNING pid 42, uptime 0:10:23
cf-webapp RUNNING pid 43, uptime 0:10:23
```
### Stop/Start/Restart
```bash
# Stop container (data persists in volume)
docker stop codeflash
# Start container
docker start codeflash
# Restart container
docker restart codeflash
```
### Remove Container
```bash
# Remove container (keeps data volume)
docker stop codeflash
docker rm codeflash
# Remove container AND data (⚠️ deletes all data!)
docker stop codeflash
docker rm codeflash
docker volume rm codeflash-data
```
### Upgrade to New Version
```bash
# Pull or build new image
docker pull codeflash/unified:latest
# OR
docker build -f deployment/onprem-simple/Dockerfile.unifiedall -t codeflash/unified:latest .
# Stop and remove old container
docker stop codeflash
docker rm codeflash
# Start new container (data persists in volume)
docker run -d --name codeflash \
-e AZURE_OPENAI_API_KEY=your-key \
-p 5432:5432 -p 8000:8000 -p 3001:3001 -p 3000:3000 \
-v codeflash-data:/var/lib/postgresql/data \
codeflash/unified:latest
```
## Accessing Services
Once running, you can access:
- **cf-api**: http://localhost:3001
- **aiservice**: http://localhost:8000
- **cf-webapp**: http://localhost:3000
- **PostgreSQL**: localhost:5432 (username: `codeflash`, password: `codeflash`, database: `codeflash`)
## Troubleshooting
### Container won't start
```bash
# Check logs for errors
docker logs codeflash
# Verify ports are available
lsof -i :5432
lsof -i :8000
lsof -i :3001
lsof -i :3000
```
### Services not responding
```bash
# Check service status
docker exec codeflash supervisorctl status
# Restart a specific service
docker exec codeflash supervisorctl restart cf-api
docker exec codeflash supervisorctl restart aiservice
docker exec codeflash supervisorctl restart cf-webapp
```
### CLI can't connect
```bash
# Test service endpoints
curl http://localhost:3001/cfapi/healthcheck
curl http://localhost:8000/health
# Verify environment variables
echo $CODEFLASH_API_KEY
echo $CODEFLASH_AIS_SERVER
echo $CODEFLASH_CFAPI_SERVER
```
### Database issues
```bash
# Check if PostgreSQL is ready
docker exec codeflash pg_isready -h localhost -p 5432 -U codeflash
# Access database
docker exec -it codeflash psql postgresql://codeflash:codeflash@localhost:5432/codeflash
# Check API keys in database
docker exec codeflash psql postgresql://codeflash:codeflash@localhost:5432/codeflash \
-c "SELECT key, suffix FROM cf_api_keys;"
```
## FAQ
**Q: Do I need GitHub App configuration?**
A: No, not if you use `--no-pr` mode. GitHub integration is optional.
**Q: Do I need Stripe configuration?**
A: No, billing features are not required for on-premise deployments.
**Q: What AI providers are supported?**
A: Azure OpenAI, OpenAI, and Anthropic Claude. You only need one.
**Q: Can I use my own PostgreSQL database?**
A: Yes, set the `DATABASE_URL` environment variable.
**Q: What ports need to be accessible?**
A: For CLI usage, only ports 3001 (cf-api) and 8000 (aiservice) are required. Port 3000 (webapp) is for the web interface, and 5432 (PostgreSQL) is only if you want direct database access.
**Q: How much disk space is needed?**
A: ~5GB for the image, plus storage for your data (depends on usage).
**Q: How much memory is needed?**
A: Minimum 2GB RAM, recommended 4GB+ for optimal performance.
## Performance Notes
- **Container size:** ~5GB (includes all services and dependencies)
- **Startup time:** ~15-20 seconds for all services
- **Memory usage:** ~500MB-2GB (depending on workload)
- **CPU:** Works on both x86_64 and ARM64 (Apple Silicon)
## File Structure
```
deployment/onprem-simple/
├── Dockerfile.unifiedall # Main unified Docker image
├── supervisord.conf # Process manager configuration
├── startup.sh # Container startup script
├── init-db.sh # Database initialization script
├── .env.onprem.minimal # Minimal environment variables template
├── .dockerignore # Docker build exclusions
├── README.md # This file
├── TESTING.md # Testing guide
└── archive/ # Old/experimental files
├── old-dockerfiles/ # Previous Dockerfile attempts
├── old-compose/ # Old docker-compose files
└── old-scripts/ # Previous build scripts
```
## Next Steps
- ✅ Container built and running
- ✅ Database initialized
- ✅ API key generated
- ✅ CLI configured
- 🚀 **Ready to optimize code!**
See `TESTING.md` for a complete testing guide with example workflows.
## Support
For issues or questions:
- GitHub Issues: https://github.com/codeflash-ai/codeflash/issues
- Documentation: https://docs.codeflash.ai