Enable rapid environment build-out with MiroFlow's standardized deployment solution:
- Containerized Deployment: Docker images based on the E2B sandbox (
all_pip_apt_pkgtemplates) to provide consistent environmental dependencies - Unified Configuration Management: Use
.envFile centralized management of 7 types of API keys and 3 types of data directory configurations - Version Control Integration: The GitHub repository contains the full environment synchronization script (
uv sync) - Model Services Abstraction Layer: LLM Client unified interface supports fast switching between Anthropic/OpenAI and other 6 types of models.
The average time from cloning the repository to running the first task was measured to be only 8 minutes (with the API key pre-prepared).
This answer comes from the articleMiroFlow: a framework for building, managing and scaling AI intelligencesThe
May not be reproduced without permission:AI productivity tools " How to quickly build a reproducible smart body development environment?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil