Architect: Autonomous Multi-Agent Engineering Engine

Architect is a high-performance system designed to automate the initial phase of the Software Development Life Cycle (SDLC). By leveraging a sequential multi-agent workflow and ultra-low-latency inference, it transforms high-level business objectives into formal technical specifications.

System Architecture

The platform utilizes a three-tier agentic orchestration model:

1. Principal Tech Consultant: Performs heuristic technology stack selection based on scalability and performance requirements.
2. Lead Systems Architect: Synthesizes relational/non-relational database schemas and RESTful API specifications.
3. Senior Security Engineer: Conducts a formal risk assessment based on OWASP and NIST standards to identify vulnerabilities.

Technical Stack

• Orchestration: CrewAI (Sequential Agentic Workflow)
• Inference: Llama-3.3-70B-Versatile via Groq Cloud (~250 tokens/sec)
• Backend: FastAPI (Asynchronous Microservice)
• Frontend: Streamlit (System Dashboard)
• Data Validation: Pydantic v2

Execution Process

1. Environment Setup

Clone the repository and initialize a virtual environment:

git clone https://github.com/deepsr2003/architect.git
cd architect
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

### Execution Workflow
1.  **Stop all existing processes** in your terminals.
2.  **Paste the code** into the respective files.
3.  **Run Terminal 1:** `uvicorn main:app --host 0.0.0.0 --port 8000 --reload`
4.  **Run Terminal 2:** `streamlit run app.py --server.port 8501`
5.  **Test:** Enter a complex idea. You will now receive a dry, clinical, professional-grade technical document.