Development Guide
Deployment Options
Export Process
Navigate to
File > Export As > Python Code
Select export location
Configure export settings
interface ExportConfig {
format: 'python' | 'notebook';
includeComments: boolean;
environmentSetup: boolean;
}
Deployment Methods
Cloud Deployment
Enterprise-grade deployment with managed infrastructure.
# Contact enterprise@dotbase.ai for:
FEATURES = {
"managed_infrastructure": True,
"auto_scaling": True,
"monitoring": True,
"enterprise_support": True
}
Local Deployment
Prerequisites
# Using pip
pip install pyautogen==0.2.7
# Using conda
conda install pyautogen==0.2.7
# Using poetry
poetry add pyautogen==0.2.7
Environment Setup
# requirements.txt
pyautogen==0.2.7
python-dotenv>=0.19.0
Replit Deployment
Setup Steps
Create Python project
Import source code
Configure dependencies:
# pyproject.toml
[tool.poetry.dependencies]
python = "^3.9"
pyautogen = "0.2.7"
Execution Configuration
execution_config = {
"environment": {
"API_KEY": "your_api_key",
"PYTHONPATH": "${workspaceFolder}"
},
"runtime": {
"memory_limit": "4G",
"timeout": 3600
}
}
Best Practices
Local Development
Use virtual environments
Maintain API key security
Enable error logging
Monitor resource usage
Production Deployment
Implement error handling
Set up monitoring
Configure auto-scaling
Manage API rate limits
Troubleshooting
Issue
Resolution
Import Errors
Verify package installation
API Key Issues
Check environment variables
Memory Errors
Adjust resource limits
Timeout Issues
Configure execution timeouts
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