System Requirements Document

1. Introduction

This System Requirements Document (SRD) outlines the functional and non-functional requirements for AgentForge AI, an enterprise-grade Agent Runtime and Orchestration Platform. The platform enables users to automate complex workflows using autonomous AI agents by submitting high-level goals in natural language. This document is intended for software engineers, system architects, QA teams, and technical product stakeholders.

2. System Overview

AgentForge AI is designed to accept high-level user goals, decompose them into executable multi-agent workflows, and orchestrate, monitor, and manage intelligent agent execution at an enterprise scale. The platform provides a comprehensive solution for goal submission, automatic decomposition, agent selection, execution monitoring, and output delivery with enterprise-grade reliability, security, and observability.

3. Functional Requirements

Authentication Module

• As a user, I want to register with my email and password so that I can create an account on the platform.
• As a user, I want to verify my email address so that I can activate my account.
• As a user, I want to reset my password via email so that I can regain access if I forget it.
• As a user, I want to securely log out so that my session is terminated.

Dashboard

• As a user, I want to see active workflows, running agents, execution statistics, and cost analytics upon login so that I can monitor platform activity.

Workflow Builder

• As a user, I want to create workflows using a visual, drag-and-drop editor so that I can design execution flows easily.
• As a user, I want to connect nodes visually to define execution flow so that I can structure workflows logically.

Agent Studio

• As a user, I want to create agents with specific configurations so that they can perform tasks within workflows.
• As a user, I want to clone, version, and delete agents so that I can manage agent configurations effectively.

Runtime Monitor

• As a user, I want to view real-time execution status for active workflows so that I can monitor progress and performance.

Agent Marketplace

• As a user, I want to browse and install pre-built agents from a marketplace so that I can quickly deploy solutions.

Analytics Dashboard

• As a user, I want to view cost trends, token consumption, and model usage analytics so that I can optimize resource usage.

Observability Center

• As a user, I want to explore full execution traces so that I can diagnose issues and understand execution flows.

Planner Engine

• As a user, I want the system to generate execution plans from natural language goals so that I can automate task decomposition.

Memory Manager

• As a user, I want agents to manage short-term, long-term, and semantic memory so that they can retain context across executions.

Tool Registry

• As a user, I want to access a centralized registry of tools so that agents can invoke necessary functions during execution.

Human Approval Workflows

• As a user, I want workflows to include human approval nodes so that sensitive operations require manual oversight.

Retry & Recovery Engine

• As a user, I want the system to implement retry policies and circuit breakers so that execution failures are handled gracefully.

LLM Management Layer

• As a user, I want to route tasks to different LLM providers based on cost and performance so that I can optimize execution efficiency.

Agent Evaluation Framework

• As a user, I want to define test cases for agents and run evaluations on new versions so that I can ensure quality before deployment.

Agent Version History Flow

• As a user, I want to view and restore previous versions of an agent so that I can manage changes and revert if necessary.

Analytics & Admin Endpoints

• As a user, I want to access analytics and admin endpoints so that I can manage platform data and configurations.

Audit Logging

• As a user, I want all data mutation operations to be logged so that I can maintain an audit trail for compliance and troubleshooting.

Authentication & Authorization

• As a user, I want secure authentication and authorization mechanisms so that my data and actions are protected.

Authentication Endpoints

• As a user, I want to use authentication endpoints for login, registration, and token management so that I can access the platform securely.

Backend Architecture

• As a user, I want a robust backend architecture using FastAPI and modular services so that the platform is scalable and maintainable.

Base URL

• As a user, I want a consistent base URL for API access so that I can integrate with the platform easily.

CI/CD Requirements

• As a developer, I want CI/CD pipelines to ensure code quality and automate deployments so that the platform remains stable and up-to-date.

Component Deployment

• As a user, I want components to be deployed on scalable platforms like Vercel and Docker so that the system is reliable and performant.

Composite Indexes

• As a user, I want composite indexes on database tables so that query performance is optimized.

Connecting Nodes

• As a user, I want to connect nodes in the workflow builder so that I can define execution paths clearly.

Core Capabilities

• As a user, I want the platform to support multi-agent orchestration, workflow planning, and state management so that I can automate complex tasks.

Core Endpoint Groups

• As a user, I want organized endpoint groups for different functionalities so that I can access platform features efficiently.

Core Execution Stories

• As a user, I want to submit goals and receive outputs without manual orchestration so that I can automate workflows easily.

Core Resource Endpoints

• As a user, I want core resource endpoints for managing agents, workflows, and executions so that I can interact with the platform effectively.

Cost Budget Guards

• As a user, I want to set cost budget limits for executions so that I can control spending and avoid overruns.

Creating a New Workflow

• As a user, I want to create new workflows from scratch or from templates so that I can tailor processes to my needs.

Creating an Agent

• As a user, I want to create agents with specific roles and capabilities so that they can perform tasks within workflows.

Data Flow

• As a user, I want to understand the data flow from goal submission to output delivery so that I can optimize processes.

Definitions & Acronyms

• As a user, I want clear definitions and acronyms so that I can understand platform terminology.

Document Conventions

• As a user, I want document conventions to be consistent so that I can navigate and understand documentation easily.

Dynamic Routing Across OpenAI

• As a user, I want dynamic routing across LLM providers like OpenAI so that I can optimize task execution based on cost and performance.

Embedding Model

• As a user, I want to use embedding models for semantic memory so that agents can perform vector-based retrievals.

Environment Strategy

• As a user, I want a clear environment strategy for development, staging, and production so that deployments are consistent and reliable.

Environment Variables

• As a user, I want to configure environment variables for different services so that the platform is flexible and secure.

Execution State Cache

• As a user, I want an execution state cache to persist workflow states so that I can resume executions after failures.

Extended Access for Team Management

• As a team lead, I want extended access for managing team workflows and analytics so that I can oversee operations effectively.

Flash, DeepSeek

• As a user, I want support for LLM providers like Flash and DeepSeek so that I have flexibility in choosing AI models.

Frontend Architecture

• As a user, I want a modern frontend architecture using React and TypeScript so that the platform is responsive and user-friendly.

4. User Personas

Engineering Lead / AI Architect

• Background: Senior engineer responsible for deploying AI infrastructure tools.
• Needs: Reliable runtime, full API access, observability, security compliance.
• Pain Points: Managing LLM costs, debugging complex AI failures.

Product Manager / Operations Lead

• Background: Manages business processes and seeks to automate knowledge work.
• Needs: Simple goal submission UI, workflow templates, cost visibility.
• Pain Points: Waiting for engineering to build automation, fear of AI making decisions without oversight.

Platform Administrator

• Background: IT/DevOps professional managing the AgentForge platform.
• Needs: RBAC, SSO integration, audit logs, LLM provider management.
• Pain Points: Shadow AI usage, inability to enforce provider policies.

5. Core User Flows

Registration Flow

1. User navigates to the registration page.
2. User enters details and submits the form.
3. System sends a verification email.
4. User verifies email and gains access to the platform.

Goal Submission to Output

1. User submits a goal via the dashboard.
2. System creates an execution record and begins orchestration.
3. User monitors execution in real-time.
4. System delivers the final output upon completion.

Workflow Builder Flow

1. User creates a new workflow using the visual editor.
2. User configures nodes and connects them to define execution flow.
3. User saves and publishes the workflow for execution.

6. Visuals Colors and Theme

• Color Palette: Professional blues and teals for a modern, enterprise feel.
• Theme: Dark theme with glassmorphism UI elements for a sleek, modern look.

7. Signature Design Concept

• Design System: Consistent use of glassmorphism, dark theme, and motion guidelines to enhance user experience.

8. Interaction Model & Motion Direction

• Interaction Model: Intuitive drag-and-drop interfaces for workflow and agent configuration.
• Motion Direction: Smooth transitions and animations using Framer Motion for a responsive feel.

9. Non-Functional Requirements

• Performance: API response time < 300ms, dashboard load time < 1.5 seconds.
• Scalability: Horizontally scalable backend, distributed task queue.
• Availability: 99.9% uptime target, daily database backups.
• Security: Data encrypted in transit and at rest, JWT authentication.

10. Tech Stack

• Frontend: React.js with TypeScript, Vite, Tailwind CSS.
• Backend: Python with FastAPI, Celery for task management.
• Database: PostgreSQL with Alembic migrations, Redis for caching.

11. Assumptions and Constraints

• Assumptions: Users have basic technical literacy to interact with the platform.
• Constraints: Compliance with enterprise security standards and data protection regulations.

12. Glossary

• Agent: An autonomous AI unit with a defined role, tools, and memory.
• Workflow: A directed graph of agents and tasks with defined execution logic.
• Execution: A runtime instance of a workflow.
• Tool: A callable function or service available to agents.
• LLM: Large Language Model used for agent reasoning.
• RBAC: Role-Based Access Control for managing user permissions.