'Tech Company Orchestrator: Simulate Full-Stack Development Workflow with AI [post] deterministic


Tech Company Orchestrator - User Guide

[https://github.com/kliewerdaniel/tech-company-orchestrator](https://github.com/kliewerdaniel/tech-company-orchestrator)

Welcome to the **Tech Company Orchestrator**! This project is designed to simulate the workflow of a tech company by orchestrating various agents to collaboratively process prompts and generate comprehensive outputs such as code, design specifications, deployment scripts, and more. The program utilizes OpenAI models and a directed graph (via NetworkX) to model the interactions between different departments (agents).

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Table of Contents 1. [Features](#features) 2. [Requirements](#requirements) 3. [Installation](#installation) 4. [Usage](#usage) 5. [Workflow](#workflow) 6. [Customizing Agents](#customizing-agents) 7. [Troubleshooting](#troubleshooting) 8. [Future Improvements](#future-improvements)

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Features

• **Agent-based Workflow**: Simulates different tech company departments (e.g., Product Management, Design, Engineering).
• **Directed Graph Processing**: Uses NetworkX to define the flow of data between agents.
• **OpenAI API Integration**: Employs GPT models for generating agent-specific outputs.
• **Iterative Processing**: Refines outputs across iterations until the workflow is complete.
• **Progress Persistence**: Logs intermediate and final outputs to files.
• **Custom Prompt Support**: Accepts a structured prompt from an external file (initial_prompt.txt).

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Requirements

• **Python**: 3.8 or higher
• **Dependencies**:
• - openai
• - networkx
• - python-dotenv
• - json
• **OpenAI API Key**: You need an active OpenAI API key to use this program.

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Installation

1. **Clone the Repository**: ``bash git clone https://github.com/kliewerdaniel/tech-company-orchestrator.git cd tech-company-orchestrator

2. **Install Dependencies**: Use pip to install the required libraries: ``bash pip install -r requirements.txt

3. **Set Up .env File**: Create a .env file in the root directory and add your OpenAI API key: ``bash OPENAI_API_KEY=your-openai-api-key

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Usage

Step 1: Prepare Your Initial Prompt Create an initial_prompt.txt file in the root directory. The prompt should be a JSON-formatted dictionary containing:

• message: The initial idea or requirements.
• code: Leave this as an empty string ("") initially.
• readme: Leave this as an empty string ("") initially.

**Example initial_prompt.txt:** ``json { "message": "Develop a platform that connects freelancers with clients using AI for project matching.", "code": "", "readme": "" }

Step 2: Run the Program Execute the main.py file: ``bash python main.py

Step 3: Review the Outputs The program generates the following files: - **output.txt**: Contains the intermediate outputs after each iteration. - **final_output.txt**: Contains the final output, including the message, code, and readme.

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Workflow

The program simulates the workflow of a tech company by processing the prompt through the following agents:

1. **Product Management**: Expands the initial idea into detailed product requirements. 2. **Design**: Creates UI/UX specifications, including wireframes and style guides. 3. **Engineering**: Develops the software application based on the specifications. 4. **Testing**: Generates comprehensive test cases for quality assurance. 5. **Security**: Analyzes and enhances the security of the application. 6. **DevOps**: Creates deployment scripts and CI/CD pipelines. 7. **Final Agent**: Verifies if the project is complete or requires further refinement.

The agents are connected in a directed graph, ensuring an organized flow of information between departments.

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Customizing Agents

Modify Agent Behavior Each agent has its own Python file (e.g., engineering.py, design.py) where you can adjust: - The prompts sent to the OpenAI API. - How the agent processes the data (e.g., appending to code or readme).

Add a New Agent 1. Create a new Python file for the agent. 2. Define the agent's logic (similar to existing agents). 3. Add the new agent to the workflow graph in main.py: ``python G.add_edges_from([ ('PreviousAgent', 'NewAgent'), ('NewAgent', 'NextAgent') ])

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Troubleshooting

OpenAI API Key Not Found Ensure the .env file is correctly configured with your API key: ``bash OPENAI_API_KEY=your-openai-api-key

Invalid initial_prompt.txt Format Validate the JSON structure using an online tool like [jsonlint.com](https://jsonlint.com).

Empty or Incorrect Outputs - Check the logs in output.txt for intermediate results. - Ensure the OpenAI API is accessible and the specified model is available.

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Future Improvements

• **Parallel Processing**: Optimize the workflow to allow parallel execution of agents where applicable.
• **Enhanced Error Handling**: Improve robustness by adding retries and better error reporting.
• **Interactive CLI**: Provide a command-line interface for easier customization of inputs and parameters.
• **Integration Testing**: Add tests to validate the functionality of each agent and the overall workflow.

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Contributions

Feel free to fork the repository and submit pull requests for improvements. Feedback and suggestions are always welcome!

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With this guide, you should be able to set up, run, and customize the **Tech Company Orchestrator** to suit your needs. Happy orchestrating! 🎉